WorldWideScience

Sample records for proudman oceanographic laboratory

  1. Atlantic Oceanographic and Meteorological Laboratory

    Data.gov (United States)

    Federal Laboratory Consortium — The Atlantic Oceanographic and Meteorological Laboratory conducts research to understand the physical, chemical, and biological characteristics and processes of the...

  2. Chrystal and Proudman resonances simulated with three numerical models

    Science.gov (United States)

    Bubalo, Maja; Janeković, Ivica; Orlić, Mirko

    2018-05-01

    The aim of this work was to study Chrystal and Proudman resonances in a simple closed basin and to explore and compare how well the two resonant mechanisms are reproduced with different, nowadays widely used, numerical ocean models. The test case was based on air pressure disturbances of two commonly used shapes (a sinusoidal and a boxcar), having various wave lengths, and propagating at different speeds. Our test domain was a closed rectangular basin, 300 km long with a uniform depth of 50 m, with the theoretical analytical solution available for benchmark. In total, 2250 simulations were performed for each of the three different numerical models: ADCIRC, SCHISM and ROMS. During each of the simulations, we recorded water level anomalies and computed the integral of the energy density spectrum for a number of points distributed along the basin. We have successfully documented the transition from Proudman to Chrystal resonance that occurs for a sinusoidal air pressure disturbance having a wavelength between one and two basin lengths. An inter-model comparison of the results shows that different models represent the two resonant phenomena in a slightly different way. For Chrystal resonance, all the models showed similar behavior; however, ADCIRC model providing slightly higher values of the mean resonant period than the other two models. In the case of Proudman resonance, the most consistent results, closest to the analytical solution, were obtained using ROMS model, which reproduced the mean resonant speed equal to 22.00 m/s— i.e., close to the theoretical value of 22.15 m/s. ADCIRC and SCHISM models showed small deviations from that value, with the mean speed being slightly lower—21.97 m/s (ADCIRC) and 21.93 m/s (SCHISM). The findings may seem small but could play an important role when resonance is a crucial process producing enhancing effects by two orders of magnitude (i.e., meteotsunamis).

  3. The Taylor-Proudman column in a rapidly-rotating compressible fluid I. energy transports

    International Nuclear Information System (INIS)

    Park, Jun Sang

    2014-01-01

    A theoretical study is made of the steady flow of a compressible fluid in a rapidly rotating finite cylinder. Flow is generated by imposing mechanical and/or thermal disturbances at the rotating endwall disks. Both the Ekman and Rossby numbers are small. An examination is made of the energy budget for a control volume in the Ekman boundary layer. A combination of physical variables, which is termed the energy flux content, consisting of temperature and modified angular momentum, emerges to be relevant. The distinguishing features of a compressible fluid, in contrast to those of an incompressible fluid, are noted. A plausible argument is given to explain the difficulty in achieving the Taylor-Proudman column in a compressible rotating fluid. For the Taylor-Proudman column to be sustained, in the interior, it is shown that the net energy transport between the solid disk wall and the interior fluid should vanish. Physical rationalizations are facilitated by resorting to the concept of the afore-stated energy flux content.

  4. A New Meteo-oceanographic and Environmental Monitoring Laboratory in Brazil

    Science.gov (United States)

    Fontes, Roberto F. C.; Dottori, Marcelo; Silveira, Ilson C. A.; Castro, Belmiro M.

    2013-04-01

    The newer oil provinces in the pre-salt regions off the Brazilian Coast have raised the necessity of the creation of monitoring and observational centers, regarding the best comprehension on the ocean and atmosphere dynamics. The relation between industry and university is a concept based on collaboration, and it is an innovative social experiment in Brazil. The sustainability of that collaboration depends on the balance of mutual interests on private business and public academic institutions. The entrepreneur needs continuous accesses to the new academic researches, and the greatest benefit, for the academy, are funding complementation and personnel qualification. We need to establish a thread of new challenges, some of them based on disruption of paradigms in the Brazilian academic culture, and removal of obstructive clauses from the entrepreneur. Questioning and methods revalidation, in the oceanic environment areas, also requires a collaborative and interdisciplinary effort, congregating the physical aspects along with others compartments of the environmental monitoring. We proposed the creation of a Meteo-oceanographic and Environmental Monitoring Laboratory - LAMMOA (Portuguese acronym), which will be installed in a new facility funded by PETROBRAS (the Brazilian leading oil company) and ruled by USP, UNESP and UNICAMP, the state public universities in Santos (São Paulo State, Brazil). The new facility will be a research center in oil and gas activities, named CENPEG-BS (Portuguese acronym for Research Center of Oil and Gas in the Bay of Santos). Several laboratories and groups will work together, in a highly collaborative environment and so, capable of quickly respond to sudden demands on offshore activities and logistic operations, as well as in contingency situations. LAMMOA will continuous monitor oceanic regions where the pre-salt activities of oil exploitation occur. It will monitor meteo-oceanographic parameters like winds, waves and currents

  5. Archive of Geosample Data and Information from the Woods Hole Oceanographic Institution (WHOI) Seafloor Samples Laboratory

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Woods Hole Oceanographic Institution (WHOI) Seafloor Samples Laboratory is a partner in the Index to Marine and Lacustrine Geological Samples (IMLGS) database,...

  6. Environmental set-up and tidal propagation in a tropical estuary with dual connection to the sea (SW Coast of India)

    Digital Repository Service at National Institute of Oceanography (India)

    Revichandran, C.; Srinivas, K.; Muraleedharan, K.R.; Rafeeq, M.; Shivaprasad, A.; Vijayakumar, K.; Jayalakshmy, K.V.

    at the Proudman Oceanographic Laboratory, UK (Bell et al., 2000). The present paper largely follows the techniques described in Sunder and Shetye., 2005, where the tidal propagation in Mandovi-Zuari estuarine network was studied using one month WL data at 13... rivers is estimated to be 22.41 X10 3 Mm 3 . Runoff is not uniformly distributed; 60-70 % of the runoff is during the SW monsoon period (June-September), while during the pre-monsoon period (April-May) virtually there was no significant runoff. Table...

  7. ICON - Salt River Bay 2010 Meteorological and Oceanographic Observations

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  8. ICON - Media Luna Reef 2009 Meteorological and Oceanographic Observations

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  9. ICON - Salt River Bay 2005 Meteorological and Oceanographic Observations

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  10. ICON - Salt River Bay 2009 Meteorological and Oceanographic Observations

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  11. ICON - Little Cayman, Cayman Islands 2009 Meteorological and Oceanographic Observations

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  12. ICON - North Norman's Patch Reef 2004 Meteorological and Oceanographic Observations

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  13. Satellite transmission of oceanographic data

    Digital Repository Service at National Institute of Oceanography (India)

    Desa, E.S.; Desai, R.G.P.; DeSa, E.J.

    Oceanographic data collected on a research vessel has been transmitted to a shore laboratory using the INMARSAT maritime satellite The system configuration used, consisted of Satellite Communication Terminals interfaced to desk top computers...

  14. ICON - Buccoo Reef 2013 Meteorological and Oceanographic Observations (NODC Accession 0123996)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  15. ICON - Angel's Reef 2013 Meteorological and Oceanographic Observations (NODC Accession 0123995)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  16. ICON - Angel's Reef 2015 Meteorological and Oceanographic Observations (NCEI Accession 0156578)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  17. ICON - Puerto Plata 2015 Meteorological and Oceanographic Observations (NCEI Accession 0156578)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  18. ICON - Buccoo Reef 2014 Meteorological and Oceanographic Observations (NCEI Accession 0137094)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  19. ICON - Buccoo Reef 2015 Meteorological and Oceanographic Observations (NCEI Accession 0156578)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  20. ICON - Catuan Wreck 2015 Meteorological and Oceanographic Observations (NCEI Accession 0156578)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  1. ICON - Angel's Reef 2014 Meteorological and Oceanographic Observations (NCEI Accession 0137094)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  2. ICON - Little Cayman 2013 Meteorological and Oceanographic Observations (NODC Accession 0123997)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  3. ICON - Little Cayman 2015 Meteorological and Oceanographic Observations (NCEI Accession 0156578)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  4. ICON - Little Cayman 2012 Meteorological and Oceanographic Observations (NODC Accession 0117730)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  5. ICON - Media Luna Reef 2011 Meteorological and Oceanographic Observations (NODC Accession 0098078)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  6. ICON - Media Luna Reef 2006 Meteorological and Oceanographic Observations (NODC Accession 0049876)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  7. ICON - Media Luna Reef 2008 Meteorological and Oceanographic Observations (NODC Accession 0039700)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  8. ICON - Lao Lao Bay 2013 Meteorological and Oceanographic Observations (NODC Accession 0123998)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  9. ICON - Salt River Bay 2012 Meteorological and Oceanographic Observations (NODC Accession 0117726)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  10. ICON - Molasses Reef (secondary) 2013 Meteorological and Oceanographic Observations (NODC Accession 0123999)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  11. ICON - Salt River Bay 2013 Meteorological and Oceanographic Observations (NODC Accession 0124001)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  12. ICON - Salt River Bay 2006 Meteorological and Oceanographic Observations (NODC Accession 0049446)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  13. ICON - Media Luna Reef 2007 Meteorological and Oceanographic Observations (NODC Accession 0049877)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  14. ICON - Salt River Bay 2011 Meteorological and Oceanographic Observations (NODC Accession 0098077)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  15. ICON - Media Luna Reef 2013 Meteorological and Oceanographic Observations (NODC Accession 0124000)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  16. ICON - Media Luna Reef 2012 Meteorological and Oceanographic Observations (NODC Accession 0117729)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  17. ICON - Lao Lao Bay 2014 Meteorological and Oceanographic Observations (NCEI Accession 0137094)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  18. ICON - Lao Lao Bay 2012 Meteorological and Oceanographic Observations (NODC Accession 0117721)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  19. ICON - Salt River Bay 2014 Meteorological and Oceanographic Observations (NCEI Accession 0137094)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  20. ICON - Molasses Reef (secondary) 2012 Meteorological and Oceanographic Observations (NODC Accession 0117728)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  1. ICON - Lao Lao Bay, Saipan 2011 Meteorological and Oceanographic Observations (NODC Accession 0098076)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  2. ICON - North Norman's Patch Reef 2007 Meteorological and Oceanographic Observations (NODC Accession 0049875)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  3. ICON - North Norman's Patch Reef 2006 Meteorological and Oceanographic Observations (NODC Accession 0049874)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  4. ICON - North Norman's Patch Reef 2003 Meteorological and Oceanographic Observations (CMRC2) (NODC Accession 0049873)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  5. ICON - West Fore Reef, Discovery Bay, Jamaica 2008 Meteorological and Oceanographic Observations (NODC Accession 0054499)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  6. ICON - West Fore Reef, Discovery Bay, Jamaica 2007 Meteorological and Oceanographic Observations (NODC Accession 0054497)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  7. Integrated Coral Observing Network (ICON) - Lao Lao Bay, Saipan 2011 Meteorological and Oceanographic Observations (NODC Accession 0098076)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  8. Integrated Coral Observing Network (ICON) - Norman's Patch Reef (Bahamas) 2007 Meteorological and Oceanographic Observations (NODC Accession 0049875)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  9. Integrated Coral Observing Network (ICON) - Norman's Patch Reef (Bahamas) 2006 Meteorological and Oceanographic Observations (NODC Accession 0049874)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  10. The variability and forcing of currents within a frontal region off the northeast coast of England

    Science.gov (United States)

    Gmitrowicz, E. M.; Brown, J.

    1993-08-01

    During the summer of 1988 a collaborative experiment between the Ministry of Agriculture, Fisheries and Food (MAFF), the Proudman Oceanographic Laboratory (POL) and University College North Wales (UCNW) was undertaken to study the dynamics of a near-shore frontal region off the northeast coast of England. The experiment is one of the most intensive studies of the current structure of a shelf sea front undertaken. Currents were measured using an ocean surface current RADAR (OSCR), ship-borne ADCP, Lagrangian drifters and moored current meters. The current meter moorings held conventional meters at mid-depth and near the bed and S4 electromagnetic current meters near the surface. The mean, low frequency (Continental Shelf Research, 1, 191-207) with some deviations due to nearshore effects.

  11. First oceanographic atlas of the Gulf of Mexico. National Award of Oceanographic Research

    International Nuclear Information System (INIS)

    Vidal L., F.; Vidal L., V.M.; Hernandez O., A.

    1991-01-01

    First oceanographic atlas of the Gulf of Mexico National award of oceanographic research. As a result of the research activities applied by Federal Electricity Commission related with oceanographic studies for nuclear stations siting and licensing in coastal areas, doctors Victor Manuel and Francisco Vidal Lorandi and Master in Sciences Abel Hernandez Ochoa got the oceanographic research National award, instituted recently by Mexican Government, by research work published in Oceanographic Atlas of the Gulf of Mexico, Volume II. Atlas presents synthetized oceanographic information about mexican gulf circulation, as well as residence time and water masses distribution. Atlas includes information related with siting and licensing of nuclear stations on shore and has also application, among others, in petroleum, fishery, maritime transportation, and tourism sectors

  12. ICON - Salt River Bay 2002 Meteorological and Oceanographic Observations (SRVI1-Salt River, St Croix) (NODC Accession 0049497)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  13. ICON - Rainbow Gardens Reef 2003 Meteorological and Oceanographic Observations (CMRC1-Lee Stocking Island, Bahamas) (NODC Accession 0049498)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  14. ICON - Salt River Bay 2003 Meteorological and Oceanographic Observations (SRVI1-Salt River, St. Croix) (NODC Accession 0049477)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  15. ICON - Rainbow Gardens Reef 2002 Meteorological and Oceanographic Observations (CMRC1-Lee Stocking Island, Bahamas) (NODC Accession 0048471)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  16. Delayed XBT Data assembled by US NOAA Atlantic Oceanographic Meteorological Laboratory (AOML) for the Global Temperature-Salinity Profile Program (GTSPP) and submitted the month of December 2003 (NODC Accession 0001320)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — XBT data were collected from MULTIPLE PLATFORMS from a World-Wide distribution. Data were collected by the Atlantic Oceanographic and Meteorological Laboratory...

  17. Delayed XBT Data assembled by US NOAA Atlantic Oceanographic Meteorological Laboratory (AOML) for the Global Temperature-Salinity Profile Program (GTSPP) and submitted the month of June 2005 (NODC Accession 0002276)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — XBT data were collected from MULTIPLE PLATFORMS from a World-Wide distribution. Data were collected by the Atlantic Oceanographic and Meteorological Laboratory...

  18. Delayed XBT Data assembled by US NOAA Atlantic Oceanographic Meteorological Laboratory (AOML) for the Global Temperature-Salinity Profile Program (GTSPP) and submitted the month of October 2003 (NODC Accession 0001234)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — XBT data were collected from MULTIPLE PLATFORMS from a World-Wide distribution. Data were collected by the Atlantic Oceanographic and Meteorological Laboratory...

  19. Delayed XBT Data assembled by US NOAA Atlantic Oceanographic Meteorological Laboratory (AOML) for the Global Temperature-Salinity Profile Program (GTSPP) and submitted the month of January 2004 (NODC Accession 0001336)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — XBT data were collected from MULTIPLE PLATFORMS from a World-Wide distribution. Data were collected by the Atlantic Oceanographic and Meteorological Laboratory...

  20. Delayed XBT Data assembled by US NOAA Atlantic Oceanographic Meteorological Laboratory (AOML) for the Global Temperature-Salinity Profile Program (GTSPP) and submitted the month of September 2005 (NODC Accession 0002399)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — XBT data were collected from MULTIPLE PLATFORMS from a World-Wide distribution. Data were collected by the Atlantic Oceanographic and Meteorological Laboratory...

  1. Delayed XBT Data assembled by US NOAA Atlantic Oceanographic Meteorological Laboratory (AOML) for the Global Temperature-Salinity Profile Program (GTSPP) and submitted the month of June 2001 (NODC Accession 0000478)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — XBT data were collected from MULTIPLE PLATFORMS from a World-Wide distribution. Data were collected by the Atlantic Oceanographic and Meteorological Laboratory...

  2. Delayed XBT Data assembled by US NOAA Atlantic Oceanographic Meteorological Laboratory (AOML) for the Global Temperature-Salinity Profile Program (GTSPP) and submitted the month of August 2004 (NODC Accession 0001713)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — XBT data were collected from MULTIPLE PLATFORMS from a World-Wide distribution. Data were collected by the Atlantic Oceanographic and Meteorological Laboratory...

  3. Delayed XBT Data assembled by US NOAA Atlantic Oceanographic Meteorological Laboratory (AOML) for the Global Temperature-Salinity Profile Program (GTSPP) and submitted the month of February 2004 (NODC Accession 0001382)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — XBT data were collected from MULTIPLE PLATFORMS from a World-Wide distribution. Data were collected by the Atlantic Oceanographic and Meteorological Laboratory...

  4. Delayed XBT Data assembled by US NOAA Atlantic Oceanographic Meteorological Laboratory (AOML) for the Global Temperature-Salinity Profile Program (GTSPP) and submitted the month of May 2004 (NODC Accession 0001504)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — XBT data were collected from MULTIPLE PLATFORMS from a World-Wide distribution. Data were collected by the Atlantic Oceanographic and Meteorological Laboratory...

  5. Delayed XBT Data assembled by US NOAA Atlantic Oceanographic Meteorological Laboratory (AOML) for the Global Temperature-Salinity Profile Program (GTSPP) and submitted the month of December 2004 (NODC Accession 0002010)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — XBT data were collected from MULTIPLE PLATFORMS from a World-Wide distribution. Data were collected by the Atlantic Oceanographic and Meteorological Laboratory...

  6. Integrated Coral Observing Network (ICON) - West Fore Reef (Discovery Bay, Jamaica) 2007 Meteorological and Oceanographic Observations (NODC Accession 0054497)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  7. Integrated Coral Observing Network (ICON) - Salt River Bay (St. Croix, USVI) 2011 Meteorological and Oceanographic Observations (NODC Accession 0098077)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  8. Integrated Coral Observing Network (ICON) - Salt River Bay (St. Croix, USVI) 2007 Meteorological and Oceanographic Observations (NODC Accession 0049438)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  9. Integrated Coral Observing Network (ICON) - Salt River Bay (St. Croix, USVI) 2006 Meteorological and Oceanographic Observations (NODC Accession 0049446)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  10. Integrated Coral Observing Network (ICON) - Salt River Bay (St. Croix, USVI) 2008 Meteorological and Oceanographic Observations (NODC Accession 0057130)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  11. Integrated Coral Observing Network (ICON) - Salt River Bay (St. Croix, USVI) 2002 Meteorological and Oceanographic Observations (NODC Accession 0049497)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  12. ICON - 2015 Meteorological and Oceanographic Observations: Puerto Plata, Catuan Wreck, Little Cayman, Angel's Reef, and Port Everglades (NCEI Accession 0156578)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  13. Integrated Coral Observing Network (ICON) - Rainbow Gardens Reef (Lee Stocking Island, Bahamas) 2003 Meteorological and Oceanographic observations (NODC Accession 0049498)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  14. Integrated Coral Observing Network (ICON) - Rainbow Gardens Reef (Lee Stocking Island, Bahamas) 2002 Meteorological and Oceanographic observations (NODC Accession 0048471)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  15. Delayed XBT Data assembled by US NOAA Atlantic Oceanographic Meteorological Laboratory (AOML) for the Global Temperature-Salinity Profile Program (GTSPP) and submitted the months of March and April 2005 (NODC Accession 0002181)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — XBT data were collected from MULTIPLE PLATFORMS from a World-Wide distribution. Data were collected by the Atlantic Oceanographic and Meteorological Laboratory...

  16. Delayed XBT Data assembled by US NOAA Atlantic Oceanographic Meteorological Laboratory (AOML) for the Global Temperature-Salinity Profile Program (GTSPP) and submitted the month of June and July 2004 (NODC Accession 0001686)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — XBT data were collected from MULTIPLE PLATFORMS from a World-Wide distribution. Data were collected by the Atlantic Oceanographic and Meteorological Laboratory...

  17. Delayed XBT Data assembled by US NOAA Atlantic Oceanographic Meteorological Laboratory (AOML) for the Global Temperature-Salinity Profile Program (GTSPP) and submitted the months of July and August 2005 (NODC Accession 0002386)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — XBT data were collected from MULTIPLE PLATFORMS from a World-Wide distribution. Data were collected by the Atlantic Oceanographic and Meteorological Laboratory...

  18. Delayed XBT Data assembled by US NOAA Atlantic Oceanographic Meteorological Laboratory (AOML) for the Global Temperature-Salinity Profile Program (GTSPP) and submitted the months of September and October 2004 (NODC Accession 0001881)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — XBT data were collected from MULTIPLE PLATFORMS from a World-Wide distribution. Data were collected by the Atlantic Oceanographic and Meteorological Laboratory...

  19. Integrated Coral Observing Network (ICON) - Norman's Patch Reef (near Lee Stocking Island, Bahamas) 2003 Meteorological and Oceanographic Observations (NODC Accession 0049873)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  20. Delayed XBT Data assembled by US NOAA Atlantic Oceanographic Meteorological Laboratory (AOML) for the Global Temperature-Salinity Profile Program (GTSPP) and submitted the months of November 2004 and October 2005 (NODC Accession 0002432)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — XBT data were collected from MULTIPLE PLATFORMS from a World-Wide distribution. Data were collected by the Atlantic Oceanographic and Meteorological Laboratory...

  1. Integrated Coral Observing Network (ICON) - Little Cayman, Cayman Islands 2011 Meteorological and Oceanographic observations from January to December, 2011 (NODC Accession 0098079)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  2. Integrated Coral Observing Network (ICON) - Media Luna (LPPR1 - La Parguera Natural Reserve, Puerto Rico) 2006 Meteorological and Oceanographic Observations (NODC Accession 0049876)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  3. Integrated Coral Observing Network (ICON) - Media Luna (LPPR1 - La Parguera Natural Reserve, Puerto Rico) 2007 Meteorological and Oceanographic Observations (NODC Accession 0049877)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  4. Integrated Coral Observing Network (ICON) - Media Luna (LPPR1 - La Parguera Natural Reserve, Puerto Rico) 2008 Meteorological and Oceanographic Observations (NODC Accession 0039700)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  5. Integrated Coral Observing Network (ICON) - Media Luna (LPPR1 - La Parguera Natural Reserve, Puerto Rico) 2011 Meteorological and Oceanographic Observations (NODC Accession 0098078)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  6. Integrated Coral Observing Network (ICON) - Little Cayman (Cayman Islands) 2013 Meteorological and Oceanographic Observations from 2013-10-23 to 2013-12-31 (NODC Accession 0123997)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  7. Integrated Coral Observing Network (ICON) - Buccoo Reef (Trinidad and Tobago) 2013 Meteorological and Oceanographic Observations from 2013-11-27 to 2013-12-31 (NODC Accession 0123996)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  8. Integrated Coral Observing Network (ICON) - Angel's Reef (Trinidad and Tobago) 2013 Meteorological and Oceanographic Observations from 2013-11-28 to 2013-12-31 (NODC Accession 0123995)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  9. Integrated Coral Observing Network (ICON) - Port Everglades (PVGF1 - Port Everglades, Florida) Meteorological and Oceanographic Observations from 01 Jan to 31 Dec 2012 (NODC Accession 0117727)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  10. Chemical and laboratory analyses oceanographic data collected aboard the Wes Bordelon in the Gulf of Mexico from 2010-08-18 to 2010-08-22 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0074863)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical and laboratory analyses oceanographic data were collected aboard the Wes Bordelon in the Gulf of Mexico from 2010-08-18 to 2010-08-22 in response to the...

  11. Chemical, profile and laboratory analysis oceanographic data collected aboard the Ferrel in the Gulf of Mexico from 2010-07-03 to 2010-07-07 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0074854)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, profile and laboratory analysis oceanographic data were collected aboard the Ferrel in the Gulf of Mexico from 2010-07-03 to 2010-07-07 in response to the...

  12. Underway sea surface temperature and salinity data from thermosalinographs collected from multiple platforms assembled by NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This collection contains sea surface oceanographic data in netCDF and ASCII formatted files assembled by the NOAA Atlantic Oceanographic and Meteorological...

  13. Integrated Coral Observing Network (ICON) - Port Everglades (PVGF1 - Port Everglades, Florida) Meteorological and Oceanographic Observations from 2013-01-01 to 2013-12-31 (NODC Accession 0124002)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  14. Integrated Coral Observing Network (ICON) - Salt River Bay (SRVI2 - St. Croix, USVI) Meteorological and Oceanographic Observations from 01 Jan to 31 Dec 2012 (NODC Accession 0117726)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  15. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Ferrel in the Gulf of Mexico from 2010-07-15 to 2010-07-23 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069060)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Ferrel in the Gulf of Mexico from 2010-07-15 to 2010-07-23 in...

  16. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Ferrel in the Gulf of Mexico from 2010-08-03 to 2010-08-11 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069063)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Ferrel in the Gulf of Mexico from 2010-08-03 to 2010-08-11 in...

  17. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Ferrel in the Gulf of Mexico from 2010-07-30 to 2010-08-03 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069062)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Ferrel in the Gulf of Mexico from 2010-07-30 to 2010-08-03 in...

  18. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Ferrel in the Gulf of Mexico from 2010-08-18 to 2010-08-23 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069065)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Ferrel in the Gulf of Mexico from 2010-08-18 to 2010-08-23 in...

  19. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Ferrel in the Gulf of Mexico from 2010-07-07 to 2010-08-27 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069066)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Ferrel in the Gulf of Mexico from 2010-07-07 to 2010-08-27 in...

  20. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Ferrel in the Gulf of Mexico from 2010-08-13 to 2010-08-17 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069064)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Ferrel in the Gulf of Mexico from 2010-08-13 to 2010-08-17 in...

  1. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Ferrel in the Gulf of Mexico from 2010-07-25 to 2010-07-30 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069061)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Ferrel in the Gulf of Mexico from 2010-07-25 to 2010-07-30 in...

  2. Imagery, laboratory analysis and sediment analysis oceanographic data collected aboard the GYRE in the Gulf of Mexico from 2010-09-13 to 2010-09-16 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0084568)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Imagery, laboratory analysis and sediment analysis oceanographic data were collected aboard the GYRE in the Gulf of Mexico from 2010-09-13 to 2010-09-16 in response...

  3. Integrated Coral Observing Network (ICON) - Little Cayman (LCIY2 - Little Cayman, Cayman Islands) 2012 Meteorological and Oceanographic Observations from 01 Jan to 26 Oct 2012 (NODC Accession 0117730)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  4. Chemical, laboratory analyses, physical and profile oceanographic data collected aboard the BUNNY BORDELON in the Gulf of Mexico from 2010-08-18 to 2010-08-23 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069118)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, laboratory analyses, physical and profile oceanographic data were collected aboard the BUNNY BORDELON in the Gulf of Mexico from 2010-08-18 to 2010-08-23...

  5. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-08-30 to 2010-09-03 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069107)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-08-30 to 2010-09-03 in...

  6. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-07-19 to 2010-07-23 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069100)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-07-19 to 2010-07-23 in...

  7. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-08-06 to 2010-08-10 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069103)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-08-06 to 2010-08-10 in...

  8. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-08-18 to 2010-08-22 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069105)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-08-18 to 2010-08-22 in...

  9. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-08-25 to 2010-08-29 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069106)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-08-25 to 2010-08-29 in...

  10. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-19 to 2010-06-23 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069096)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-19 to 2010-06-23 in...

  11. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-07 to 2010-06-11 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069094)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-07 to 2010-06-11 in...

  12. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-01 to 2010-06-05 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069093)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-01 to 2010-06-05 in...

  13. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-08-12 to 2010-08-16 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069104)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-08-12 to 2010-08-16 in...

  14. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-07-07 to 2010-07-11 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069099)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-07-07 to 2010-07-11 in...

  15. Chemical, laboratory analyses, physical and profile oceanographic data collected aboard the JACK FITZ in the Gulf of Mexico from 2010-08-18 to 2010-08-23 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069119)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, laboratory analyses, physical and profile oceanographic data were collected aboard the JACK FITZ in the Gulf of Mexico from 2010-08-18 to 2010-08-23 in...

  16. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-25 to 2010-06-29 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069097)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-25 to 2010-06-29 in...

  17. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-07-26 to 2010-07-29 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069101)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-07-26 to 2010-07-29 in...

  18. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-29 to 2010-07-05 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069098)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-29 to 2010-07-05 in...

  19. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-07-31 to 2010-08-03 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069102)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-07-31 to 2010-08-03 in...

  20. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-09-11 to 2010-09-13 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069110)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-09-11 to 2010-09-13 in...

  1. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-13 to 2010-06-17 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069095)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-13 to 2010-06-17 in...

  2. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-09-03 to 2010-09-07 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069108)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-09-03 to 2010-09-07 in...

  3. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-09-07 to 2010-10-16 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069109)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-09-07 to 2010-10-16 in...

  4. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-09-15 to 2010-09-22 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069079)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-09-15 to 2010-09-22 in...

  5. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-09-23 to 2010-09-28 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069080)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-09-23 to 2010-09-28 in...

  6. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-23 to 2010-07-17 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069128)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-23 to 2010-07-17 in...

  7. Chemical, laboratory analyses, physical and profile oceanographic data collected aboard the JACK FITZ in the Gulf of Mexico from 2010-06-12 to 2010-06-20 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069074)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, laboratory analyses, physical and profile oceanographic data were collected aboard the JACK FITZ in the Gulf of Mexico from 2010-06-12 to 2010-06-20 in...

  8. Integrated Coral Observing Network (ICON) - Lao Lao Bay (LLBP7 - Saipan, Northern Mariana Islands) 2012 Meteorological and Oceanographic Observations from 19 Mar to 19 Jul 2012 (NODC Accession 0117721)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  9. Integrated Coral Observing Network (ICON) - Salt River Bay (SRVI2 - St. Croix, USVI) 2013 Meteorological and Oceanographic Observations from 2013-01-01 to 2013-12-31 (NODC Accession 0124001)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  10. Integrated Coral Observing Network (ICON) - Molasses Reef (secondary) (MLRF2 - Florida Keys National Marine Sanctuary, Florida) Meteorological and Oceanographic Observations from 01 Jan to 31 Dec 2012 (NODC Accession 0117728)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  11. Integrated Coral Observing Network (ICON) - Media Luna Reef (LPPR1 - La Parquera Natural Reserve, Puerto Rico) Meteorological and Oceanographic Observations from 01 Jan to 31 Dec 2012 (NODC Accession 0117729)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  12. Integrated Coral Observing Network (ICON) - 2014 Meteorological and Oceanographic Observations in the U.S. Virgin Islands, Florida, Cayman Islands, Trinidad and Tobago and the Northern Mariana Islands (NCEI Accession 0137094)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  13. Integrated Coral Observing Network (ICON) - Molasses Reef (MLRF2 - Florida Keys National Marine Sanctuary, Florida) Meteorological and Oceanographic Observations from 2013-01-01 to 2013-06-23 (NODC Accession 0123999)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  14. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the F. G. Walton Smith in the Gulf of Mexico from 2010-05-26 to 2010-06-02 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069084)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the F. G. Walton Smith in the Gulf of Mexico from 2010-05-26 to...

  15. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-07-04 to 2010-07-08 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069051)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-07-04 to 2010-07-08 in...

  16. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-05-30 to 2010-06-02 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069046)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-05-30 to 2010-06-02 in...

  17. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-08-03 to 2010-08-07 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069055)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-08-03 to 2010-08-07 in...

  18. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-08-21 to 2010-08-25 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069090)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-08-21 to 2010-08-25 in...

  19. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-07-16 to 2010-07-20 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069053)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-07-16 to 2010-07-20 in...

  20. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-06-22 to 2010-06-26 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069050)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-06-22 to 2010-06-26 in...

  1. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-08-15 to 2010-08-19 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069057)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-08-15 to 2010-08-19 in...

  2. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-08-09 to 2010-08-12 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069056)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-08-09 to 2010-08-12 in...

  3. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-07-28 to 2010-08-01 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069054)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-07-28 to 2010-08-01 in...

  4. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-05-23 to 2010-05-25 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069045)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-05-23 to 2010-05-25 in...

  5. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-06-10 to 2010-06-14 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069048)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-06-10 to 2010-06-14 in...

  6. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-09-07 to 2010-09-11 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0074853)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-09-07 to 2010-09-11 in...

  7. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-06-16 to 2010-06-20 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069049)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-06-16 to 2010-06-20 in...

  8. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-05-14 to 2010-05-18 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0074372)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-05-14 to 2010-05-18 in...

  9. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-07-10 to 2010-07-14 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069052)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-07-10 to 2010-07-14 in...

  10. Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-06-04 to 2010-06-08 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069047)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-06-04 to 2010-06-08 in...

  11. Integrated Coral Observing Network (ICON) - Media Luna Reef (LPPR1 - La Parquera Natural Reserve, Puerto Rico) Meteorological and Oceanographic Observations from 2013-01-01 to 2013-03-20 (NODC Accession 0124000)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  12. Oceanographic data and information network in the Indian Ocean

    Digital Repository Service at National Institute of Oceanography (India)

    Sarupria, J.S.; Reddy, G.V.

    National Oceanographic Data Centres (RNODCs) and 3 World Data Centres (WDCs) for oceanographic data /information management and exchange. Regional data/information network in the Indian Ocean is being managed by 9 NODCs and 2 RNODCs and oceanographic...

  13. Development of moored oceanographic spectroradiometer

    Science.gov (United States)

    Booth, Charles R.; Mitchell, B. Greg; Holm-Hansen, O.

    1987-01-01

    Biospherical Instruments has successfully completed a NASA sponsored SBIR (Small Business Innovational Research Program) project to develop spectroradiometers capable of being deployed in the ocean for long periods of time. The completion of this project adds a valuable tool for the calibration of future spaceborne ocean color sensors and enables oceanographers to extend remote sensing optical techniques beyond the intermittent coverage of spaceborne sensors. Highlights of the project include two moorings totalling 8 months generating extensive sets of optical, biological, and physical data sets in the ocean off La Jolla, California, and a 70 day operational deployment of the resulting commercial product by the ONR and NASA sponsored BIOWATT program. Based on experience gained in these moorings, Biospherical Instruments has developed a new line of spectroradiometers designed to support the oceanographic remote sensing missions of NASA, the Navy, and various oceanographers.

  14. Oceanographic Monthly Summary

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Oceanographic Monthly Summary contains sea surface temperature (SST) analyses on both regional and ocean basin scales for the Atlantic, Pacific, and Indian Oceans....

  15. Integrated Coral Observing Network (ICON) - Lao Lao Bay from 2013-04-30 to 2013-12-31 (LLBP7 - Saipan, Northern Mariana Islands) 2013 Meteorological and Oceanographic Observations from 2013-04-30 to 2013-12-31 (NODC Accession 0123998)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  16. 46 CFR 188.10-11 - Chemistry laboratory.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 7 2010-10-01 2010-10-01 false Chemistry laboratory. 188.10-11 Section 188.10-11 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) OCEANOGRAPHIC RESEARCH VESSELS GENERAL PROVISIONS Definition of Terms Used in This Subchapter § 188.10-11 Chemistry laboratory. This term includes...

  17. NODC Standard Product: Oceanographic station profile time series (NODC Accession 0095191)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The National Oceanographic Data Center and the World Data Center-A for Oceanography compiled from the NODC Oceanographic Station Data File a set of oceanographic...

  18. The Joy of Playing with Oceanographic Data

    Science.gov (United States)

    Smith, A. T.; Xing, Z.; Armstrong, E. M.; Thompson, C. K.; Huang, T.

    2013-12-01

    The web is no longer just an after thought. It is no longer just a presentation layer filled with HTML, CSS, JavaScript, Frameworks, 3D, and more. It has become the medium of our communication. It is the database of all databases. It is the computing platform of all platforms. It has transformed the way we do science. Web service is the de facto method for communication between machines over the web. Representational State Transfer (REST) has standardized the way we architect services and their interfaces. In the Earth Science domain, we are familiar with tools and services such as Open-Source Project for Network Data Access Protocol (OPeNDAP), Thematic Realtime Environmental Distributed Data Services (THREDDS), and Live Access Server (LAS). We are also familiar with various data formats such as NetCDF3/4, HDF4/5, GRIB, TIFF, etc. One of the challenges for the Earth Science community is accessing information within these data. There are community-accepted readers that our users can download and install. However, the Application Programming Interface (API) between these readers is not standardized, which leads to non-portable applications. Webification (w10n) is an emerging technology, developed at the Jet Propulsion Laboratory, which exploits the hierarchical nature of a science data artifact to assign a URL to each element within the artifact. (e.g. a granule file). By embracing standards such as JSON, XML, and HTML5 and predictable URL, w10n provides a simple interface that enables tool-builders and researchers to develop portable tools/applications to interact with artifacts of various formats. The NASA Physical Oceanographic Distributed Active Archive Center (PO.DAAC) is the designated data center for observational products relevant to the physical state of the ocean. Over the past year PO.DAAC has been evaluating w10n technology by webifying its archive holdings to provide simplified access to oceanographic science artifacts and as a service to enable future

  19. National oceanographic information system

    Digital Repository Service at National Institute of Oceanography (India)

    Desai, B.N.; Kunte, P.D.; Bhargava, R.M.S.

    Ocean study is inherently interdisciplinary and therefore calls for a controlled and integrated approach for information generation, processing and decision making. In this context, Indian National Oceanographic Data Centre (INODC) of National...

  20. NOAA’s Physical Oceanographic Real-Time Systems (PORTS(Registered))

    Science.gov (United States)

    2010-06-01

    1 NOAA’s Physical Oceanographic Real - Time Systems (PORTS®) Darren Wright and Robert Bassett National Oceanic and Atmospheric Administration...operation of several Physical Oceanographic Real - Time Systems (PORTS®). 0-933957-38-1 ©2009 MTS Report Documentation Page Form ApprovedOMB No. 0704-0188...TITLE AND SUBTITLE NOAAs Physical Oceanographic Real - Time Systems (PORTS®) 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6

  1. Oceanographic applications of laser technology

    Science.gov (United States)

    Hoge, F. E.

    1988-01-01

    Oceanographic activities with the Airborne Oceanographic Lidar (AOL) for the past several years have primarily been focussed on using active (laser induced pigment fluorescence) and concurrent passive ocean color spectra to improve existing ocean color algorithms for estimating primary production in the world's oceans. The most significant results were the development of a technique for selecting optimal passive wavelengths for recovering phytoplankton photopigment concentration and the application of this technique, termed active-passive correlation spectroscopy (APCS), to various forms of passive ocean color algorithms. Included in this activity is use of airborne laser and passive ocean color for development of advanced satellite ocean color sensors. Promising on-wavelength subsurface scattering layer measurements were recently obtained. A partial summary of these results are shown.

  2. Archiving oceanographic data at NOAA's National Oceanographic Data Center: A use-case approach

    Science.gov (United States)

    Biddle, M.; Arzayus, K. M.; Collins, D.; Paver, C. R.; Rutz, S. B.

    2012-12-01

    Current data holdings at the National Oceanographic Data Center (NODC) include physical, biological and chemical measurements of in situ oceanographic variables, satellite data products, and ocean model simulations. NODC acquires data from a wide variety of partners that span academia, government (including state and federal sources), private industry, and non-profit organizations. NODC provides access to these diverse data collections for both current and future use, to ensure that data consumers have the ability to monitor present and past environmental conditions. Using a flexible archival infrastructure enables NODC to archive almost any type of file format. NODC is deploying web services built upon OPeNDAP, THREDDS, Geoportal, and other standard technologies to enable data integration and application-ready data for a broad spectrum of data consumers. To maximize use of these web services, NODC is working with the oceanographic community to utilize standard formats, such as netCDF, for representing data. This poster outlines use cases which describe how a data provider can 1) establish a relationship with NODC, 2) communicate and document requirements for archiving data, 3) fulfill funding agency data management requirements, and 4) implement an automated process for archiving standard recurring data sets, where applicable. As a result of this interaction, NODC can provide valuable feedback to data providers to improve the quality of their metadata and/or data, provide access to archived data via multiple services, and facilitate data use in various data products to inform scientists and the public about the state of the ocean.

  3. PORFIDO: Oceanographic data for neutrino telescopes

    International Nuclear Information System (INIS)

    Cordelli, Marco; Martini, Agnese; Habel, Roberto; Trasatti, Luciano

    2011-01-01

    PORFIDO (Physical Oceanography by RFID Outreach) is a system designed to be installed in the optical modules of the NEMO experiment and possibly, in future underwater neutrino telescopes to gather oceanographic data with a minimum of disturbance to the main project and a very limited budget. The system gathers oceanographic data (temperature, etc.) from passive RFID tags (WISPs) attached to the outside of the NEMO optical modules with an RF reader situated inside the glass sphere, without the need of connectors or penetrators, which are very expensive and offer low reliability. Ten PORFIDOs will be deployed with the NEMO Phase 2 tower in 2011.

  4. PORFIDO: Oceanographic data for neutrino telescopes

    Energy Technology Data Exchange (ETDEWEB)

    Cordelli, Marco; Martini, Agnese; Habel, Roberto [INFN-Laboratori Nazionali di Frascati, Via E. Fermi 40, I-00044 Frascati (Italy); Trasatti, Luciano, E-mail: luciano.trasatti@gmail.co [INFN-Laboratori Nazionali di Frascati, Via E. Fermi 40, I-00044 Frascati (Italy)

    2011-01-21

    PORFIDO (Physical Oceanography by RFID Outreach) is a system designed to be installed in the optical modules of the NEMO experiment and possibly, in future underwater neutrino telescopes to gather oceanographic data with a minimum of disturbance to the main project and a very limited budget. The system gathers oceanographic data (temperature, etc.) from passive RFID tags (WISPs) attached to the outside of the NEMO optical modules with an RF reader situated inside the glass sphere, without the need of connectors or penetrators, which are very expensive and offer low reliability. Ten PORFIDOs will be deployed with the NEMO Phase 2 tower in 2011.

  5. Oceanographic Data Repositories: An Analysis of the International Situation

    Directory of Open Access Journals (Sweden)

    Fabiano Couto Corrêa da Silva

    2017-04-01

    Full Text Available The preservation and organization of oceanographic research data enables the scientific community to consult and reuse information of different kinds, and this is made possible by the repositories, meaning the services that facilitate data storage and dissemination. This paper reviews the current situation of oceanographic data repositories across different countries and evaluates them according to a series of indicators. The writers propose that although interest in storing and reusing oceanographic data has increased in recent years, the repositories are still in the process of developing their systems for processing, disseminating and reusing data. The repositories also differ in terms of architecture and the organizational level of the content they offer.

  6. TZCF Oceanographic Survey (SE1505)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Oceanographic data were collected along the 159W and Meridional from 26? 30'N-32? 30'N. CTD casts were conducted at predetermined stations. CTDs were equipped with...

  7. Oceanographic survey for radioactivity analysis in the South Sea of Korea

    International Nuclear Information System (INIS)

    Jung, Kyu Kui; Jeong, Chang Soo; Choi, Yang Ho

    2006-12-01

    The objectives of this work are to collect and provide the samples for radioactivity analysis and the fundamental data for the understanding of distribution and function of radioactive materials through oceanographic investigation and analysis in the South Sea of Korea. To achieve the objectives, we conducted twice oceanographic surveys and analyzed the oceanographic characteristics in the South Sea of Korea. In addition, for the radioactivity analysis, water samples and various marine organism were collected and provided to KINS

  8. Oceanographic survey for radioactivity analysis in the South Sea of Korea

    International Nuclear Information System (INIS)

    Choi, Yong Kyu; Lee, Sam Keum; Lee, Yong Hwa; Choi, Ok In; Oh, Hyun Ju; Seo, Young Il; Yang, Jun Hyuk; Jung, Ra Young

    2005-12-01

    The objectives of this work are to collect and provide the samples for radioactivity analysis and the fundamental data for the understanding of distribution and function of radioactive materials through oceanographic investigation and analysis in the South Sea of Korea. To achieve the objectives, we conducted twice oceanographic surveys and analyzed the oceanographic characteristics in the South Sea of Korea. In addition, for the radioactivity analysis, water samples and various marine organism were collected and provided to KINS

  9. Oceanographic Effects on Maritime Threats: Mines and Oil Spills in the Strait of Hormuz

    Science.gov (United States)

    2007-03-01

    from the U.S. Naval Oceanographic Office’s Master Oceanographic Observations Data Set ( MOODS )). The numbers on the x-axis of the cross-sections...several years (from the 1940s to the 1990s) obtained from the U.S. Naval Oceanographic Office’s Master Oceanographic Observations Data Set ( MOODS ...weathering can turn a light crude oil into a viscous material or even a semi-solid. Wave action can cause water-in-oil emulsifications called “ chocolate

  10. Oceanographic cruise Indian Ocean and Java Trench June 1969 (NODC Accession 7100908)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This report contains oceanographic data which was obtained aboard H.M.A.S DIAMANTINA during an oceanographic cruise in the Java Trench and the Indian Ocean during...

  11. Oceanographic data management - A national perspective

    Digital Repository Service at National Institute of Oceanography (India)

    Pankajakshan, T.

    data is examined. The CMD acts as a 'single window' facility to inform the end-users about the national data warehouse. The issues addressed in the context of the oceanographic data management are common for other geophysical parameters as well...

  12. Documentation of the U.S. Geological Survey Oceanographic Time-Series Measurement Database

    Science.gov (United States)

    Montgomery, Ellyn T.; Martini, Marinna A.; Lightsom, Frances L.; Butman, Bradford

    2008-01-02

    The U.S. Geological Survey (USGS) Oceanographic Time-Series Data Collection (previously named the USGS Oceanographic Time-Series Measurement Database) contains oceanographic observations made as part of studies designed to increase understanding of sediment transport processes and associated dynamics. Analysis of these data has contributed to more accurate prediction of the movement and fate of sediments and other suspended materials in the coastal ocean. The measurements were collected primarily by investigators at the USGS Woods Hole Coastal and Marine Science Center (WHCMSC) and colleagues, beginning in 1975. Most of the field experiments were carried out on the U.S. continental shelf and slope.

  13. Role of LAN in oceanographic information management

    Digital Repository Service at National Institute of Oceanography (India)

    Kunte, P.D.; Bhargava, R.M.S.

    A powerful and efficient computer system is needed for rapid exchange of data and information from scientists of different divisions to accelerate information management activities of Indian National Oceanographic Data Centre (INODC) of National...

  14. Mooring Line for an Oceanographic Buoy System

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — A mooring line for an oceanographic buoy system includes four sections. The first section is a protected cable that is connectable to the buoy. The second section is...

  15. Japanese Oceanographic Data Center Japan Land Gravity

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The gravity station data (4,381 records) were compiled by the Japanese Oceanographic Data Center. This data base was received in July 1988. The data are in the...

  16. An Oceanographic Curriculum for High Schools.

    Science.gov (United States)

    Taber, Robert W.; And Others

    Contained are outlines for 18 one-hour lectures on oceanology. Each outline lists topics to be covered, suggestions on which topics should be covered most thoroughly, and books for further reading and related films. Lecture topics include: oceanographic surveying and research; geology of the oceans; physical properties of sea water; waves, tides…

  17. Chemical, physical, profile and other oceanographic data collected aboard the GYRE in the Gulf of Mexico from 2010-09-25 to 2010-09-28 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0074905)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile, imagery, laboratory analysis and sediment analysis oceanographic data were collected aboard the GYRE in the Gulf of Mexico from...

  18. Chemical, physical, profile and other oceanographic data collected aboard the GYRE in the Gulf of Mexico from 2010-09-19 to 2010-09-28 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0074904)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile, imagery, laboratory analysis and sediment analysis oceanographic data were collected aboard the GYRE in the Gulf of Mexico from...

  19. Chemical, physical, profile and other oceanographic data collected aboard the GYRE in the Gulf of Mexico from 2010-10-01 to 2010-10-03 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0074906)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile, imagery, laboratory analysis and sediment analysis oceanographic data were collected aboard the GYRE in the Gulf of Mexico from...

  20. Chemical, physical, profile and other oceanographic data collected aboard the GYRE in the Gulf of Mexico from 2010-10-07 to 2010-10-20 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069127)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile, imagery, laboratory analysis and sediment analysis oceanographic data were collected aboard the GYRE in the Gulf of Mexico from...

  1. Using Machine Learning Techniques in the Analysis of Oceanographic Data

    Science.gov (United States)

    Falcinelli, K. E.; Abuomar, S.

    2017-12-01

    Acoustic Doppler Current Profilers (ADCPs) are oceanographic tools capable of collecting large amounts of current profile data. Using unsupervised machine learning techniques such as principal component analysis, fuzzy c-means clustering, and self-organizing maps, patterns and trends in an ADCP dataset are found. Cluster validity algorithms such as visual assessment of cluster tendency and clustering index are used to determine the optimal number of clusters in the ADCP dataset. These techniques prove to be useful in analysis of ADCP data and demonstrate potential for future use in other oceanographic applications.

  2. Chemical, physical, profile and other oceanographic data collected aboard NOAA Ship Pisces in the Gulf of Mexico from 2010-09-25 to 2010-10-03 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069114)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile, imagery, laboratory analysis, sediment analysis and underway oceanographic data were collected aboard NOAA Ship Pisces in the Gulf of...

  3. Chemical, physical, profile and other oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-10-07 to 2010-10-17 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069356)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile, imagery, laboratory analysis and sediment analysis oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from...

  4. Chemical, physical, profile and other oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-09-22 to 2010-10-24 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069615)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile, imagery, laboratory analysis and sediment analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from...

  5. Oceanographic cruise: Coral Sea, Arafura Sea, and Java Trench, April - May 1969 (NODC Accession 7100914)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This report contains oceanographic data which was obtained aboard HMAS DIAMANTINA during an oceanographic cruise in the Coral Sea, Arafura Sea, and Java Trench...

  6. Chemical, physical, profile and other oceanographic data collected aboard NOAA Ship NANCY FOSTER in the Gulf of Mexico and North Atlantic Ocean from 2010-06-30 to 2010-07-18 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069077)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile, biological, laboratory analysis, meteorological, navigational, tows and underway oceanographic data were collected aboard NOAA Ship...

  7. Chemical, physical, profile and other oceanographic data collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-08-02 to 2010-08-08 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0070333)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile, laboratory analysis and underway oceanographic data were collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-08-02...

  8. Seals as collectors of oceanographic data in the coastal zone

    DEFF Research Database (Denmark)

    Del Villar-Guerra, Diego; Cronin, Michelle; Dabrowski, Tomasz

    2012-01-01

    opportunities for sensor deployment on a variety of marine animals, including marine mammals, sea birds, fish and turtles, to gather data from inaccessible areas. In this study, we explored the use of telemetryderived data from instrumented seals in Kenmare Bay in southwest Irish waters to ascertain if seals...... stratification, up/downwellings and the onset of the thermocline, and provide unique insights into the marine environment in and around the bay, where no previous oceanographic studies have been conducted. Strong correlation between the seal-derived temperature data and in situ temperature recorders and modelled...... data validates the use of seals as oceanographic platforms on different spatial scales...

  9. Chemical, physical, profile and other oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-05-18 to 2010-05-22 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069044)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile, laboratory analysis, tows and underway oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-05-18...

  10. Ontology Based Vocabulary Matching for Oceanographic Instruments

    Science.gov (United States)

    Chen, Yu; Shepherd, Adam; Chandler, Cyndy; Arko, Robert; Leadbetter, Adam

    2014-05-01

    Data integration act as the preliminary entry point as we enter the era of big data in many scientific domains. However the reusefulness of various dataset has met the hurdle due to different initial of interests of different parties, therefore different vocabularies in describing similar or semantically related concepts. In this scenario it is vital to devise an automatic or semi-supervised algorithm to facilitate the convergence of different vocabularies. The Ocean Data Interoperability Platform (ODIP) seeks to increase data sharing across scientific domains and international boundaries by providing a forum to harmonize diverse regional data systems. ODIP participants from the US include the Rolling Deck to Repository (R2R) program, whose mission is to capture, catalog, and describe the underway/environmental sensor data from US oceanographic research vessels and submit the data to public long-term archives. In an attempt to harmonize these regional data systems, especially vocabularies, R2R recognizes the value of the SeaDataNet vocabularies served by the NERC Vocabulary Server (NVS) hosted at the British Oceanographic Data Centre as a trusted, authoritative source for describing many oceanographic research concepts such as instrumentation. In this work, we make use of the semantic relations in the vocabularies served by NVS to build a Bayesian network and take advantage of the idea of entropy in evaluating the correlation between different concepts and keywords. The performance of the model is evaluated against matching instruments from R2R against the SeaDataNet instrument vocabularies based on calculated confidence scores in the instrument pairings. These pairings with their scores can then be analyzed for assertion growing the interoperability of the R2R vocabulary through its links to the SeaDataNet entities.

  11. Oceanographic measurements from the Texas Automated Buoy System (TABS)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Texas Automated Buoy System contains daily oceanographic measurements from seven buoys off the Texas coast from Brownsville to Sabine. The Texas General Land...

  12. Estimating Regions of Oceanographic Importance for Seabirds Using A-Spatial Data.

    Directory of Open Access Journals (Sweden)

    Grant Richard Woodrow Humphries

    Full Text Available Advances in GPS tracking technologies have allowed for rapid assessment of important oceanographic regions for seabirds. This allows us to understand seabird distributions, and the characteristics which determine the success of populations. In many cases, quality GPS tracking data may not be available; however, long term population monitoring data may exist. In this study, a method to infer important oceanographic regions for seabirds will be presented using breeding sooty shearwaters as a case study. This method combines a popular machine learning algorithm (generalized boosted regression modeling, geographic information systems, long-term ecological data and open access oceanographic datasets. Time series of chick size and harvest index data derived from a long term dataset of Maori 'muttonbirder' diaries were obtained and used as response variables in a gridded spatial model. It was found that areas of the sub-Antarctic water region best capture the variation in the chick size data. Oceanographic features including wind speed and charnock (a derived variable representing ocean surface roughness came out as top predictor variables in these models. Previously collected GPS data demonstrates that these regions are used as "flyways" by sooty shearwaters during the breeding season. It is therefore likely that wind speeds in these flyways affect the ability of sooty shearwaters to provision for their chicks due to changes in flight dynamics. This approach was designed to utilize machine learning methodology but can also be implemented with other statistical algorithms. Furthermore, these methods can be applied to any long term time series of population data to identify important regions for a species of interest.

  13. Open Source Architecture for Web-Based Oceanographic Data Services

    Directory of Open Access Journals (Sweden)

    R Venkat Shesu

    2013-08-01

    Full Text Available A GIS for ocean data applications named "Ocean Data and Information Systems (ODIS" was designed and developed. The system is based on the University of Minnesota MapServer, an open source platform for publishing spatial data and interactive mapping applications to the web with MySQL as the backend database server. This paper discusses some of the details of the storage and organization of oceanographic data, methods employed for visualization of parameter plots, and mapping of the data. ODIS is conceived to be an end-to-end system comprising acquisition of data from a variety of heterogeneous ocean platforms, processing, integration, quality control, and web-based dissemination to users for operational and research activities. ODIS provides efficient data management and potential mapping and visualization functions for oceanographic data.

  14. International Laboratory of Marine Radioactivity. Biennial Report 1981-1982

    International Nuclear Information System (INIS)

    1983-12-01

    The Biennial Report covers the activities at the International Laboratory of Marine Radioactivity during the years 1981-82. It contains 34 short reports grouped under the headings: supporting activities - analytical methods development, intercalibration and maintenance services; studies for assessing the impacts of radionuclide releases into the marine environment; studies for obtaining scientific bases for evaluating deep-sea radioactive waste disposal; studies on processes affecting the fate of marine pollutants; and special missions. Details are also presented of the general aspects of the laboratory operations, staff list of the Monaco Laboratory, list of publications, meetings and conferences attended and reports and papers presented, oceanographic cruises and membership of regular committees, working groups and international programmes

  15. A Framework for Integrating Oceanographic Data Repositories

    Science.gov (United States)

    Rozell, E.; Maffei, A. R.; Beaulieu, S. E.; Fox, P. A.

    2010-12-01

    Oceanographic research covers a broad range of science domains and requires a tremendous amount of cross-disciplinary collaboration. Advances in cyberinfrastructure are making it easier to share data across disciplines through the use of web services and community vocabularies. Best practices in the design of web services and vocabularies to support interoperability amongst science data repositories are only starting to emerge. Strategic design decisions in these areas are crucial to the creation of end-user data and application integration tools. We present S2S, a novel framework for deploying customizable user interfaces to support the search and analysis of data from multiple repositories. Our research methods follow the Semantic Web methodology and technology development process developed by Fox et al. This methodology stresses the importance of close scientist-technologist interactions when developing scientific use cases, keeping the project well scoped and ensuring the result meets a real scientific need. The S2S framework motivates the development of standardized web services with well-described parameters, as well as the integration of existing web services and applications in the search and analysis of data. S2S also encourages the use and development of community vocabularies and ontologies to support federated search and reduce the amount of domain expertise required in the data discovery process. S2S utilizes the Web Ontology Language (OWL) to describe the components of the framework, including web service parameters, and OpenSearch as a standard description for web services, particularly search services for oceanographic data repositories. We have created search services for an oceanographic metadata database, a large set of quality-controlled ocean profile measurements, and a biogeographic search service. S2S provides an application programming interface (API) that can be used to generate custom user interfaces, supporting data and application

  16. Oceanographic Analysis of Sun Glint Images Taken on Space Shuttle Mission STS 41-G.

    Science.gov (United States)

    1986-03-01

    10. SOURCE OF FUNDING NUMBERS PROGRAM PROJECT TASK WORK UNIT ELEMENT NO. NO. NO. ACCESSION NO. ?I TITLE (Include Security Ciassification) OCEANOGRAPHIC...CONTENTS le INTRJODUCTION --- ---. m.--- --..-- --.-- -- -- -- --- -- ---.-. II. WESTERN MEDITERRANEAN OCEANOGRAPHIC OVERVIEV - --------------- 10. A...By computing the arc tangent of 128 n.m./125 n.m. a tilt angle of 45.7’ was approximated for the camera lens. Two simplifications were made. Earth

  17. TZCF Oceanographic Survey (SE0902L1, EK60)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Oceanographic data were collected along the 158?W Meridional from 22?30?N-36?00?N. CTD cats were conducted at predetermined stations. CTDs were equipped with oxygen...

  18. Synthetic Seismograms Derived from Oceanographic Data in the Campeche Canyon, Deepwater Gulf of Mexico

    Science.gov (United States)

    Gonzalez-Orduno, A.; Fucugauchi, J. U.; Monreal, M.; Perez-Cruz, G.; Salas de León, D. A.

    2013-05-01

    The seismic reflection method has been successfully applied worldwide to investigate subsurface conditions to support important business decisions in the oil industry. When applied in the marine environment, useful reflection information is limited to events on and below the sea floor; Information from the water column, if any, is disregarded. Seismic oceanography is emerging as a new technique that utilize the reflection information within the water column to infer thermal-density contrasts associated with oceanographic processes, such as cyclonic-anticyclonic eddies, ascending-descending water flows, and water flows related to rapid topographic changes on the sea floor. A seismic investigation to infer such oceanographic changes in one sector of the Campeche Canyon is in progress as a research matter at the Instituto de Ciencias del Mar y Limnologia from the University of Mexico (UNAM). First steps of the investigation consisted of creating synthetic seismograms based on oceanographic information (temperature and density) derived from direct observation on a series of close spaced depth points along vertical profiles. Details of the selected algorithms used for the transformation of the oceanographic data to acoustic impedances data sets and further construction of synthetic seismograms on each site and their representation as synthetic seismic sections, are presented in this work, as well as the road ahead in the investigation.

  19. Temperature, salinity, and sound speed profile data from the US Naval Oceanographic Office (NAVOCEANO) Master Oceanographic Observation Data Set (MOODS), 2002 update (NODC Accession 0000768)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In 2002, the US Naval Oceanographic Office (NAVOCEANO) submitted these data to NODC in accordance with a Memorandum of Agreement between NODC and NAVOCEANO to...

  20. Surface oceanographic fronts influencing deep-sea biological activity: Using fish stable isotopes as ecological tracers

    Science.gov (United States)

    Louzao, Maite; Navarro, Joan; Delgado-Huertas, Antonio; de Sola, Luis Gil; Forero, Manuela G.

    2017-06-01

    Ecotones can be described as transition zones between neighbouring ecological systems that can be shaped by environmental gradients over a range of space and time scales. In the marine environment, the detection of ecotones is complex given the highly dynamic nature of marine systems and the paucity of empirical data over ocean-basin scales. One approach to overcome these limitations is to use stable isotopes from animal tissues since they can track spatial oceanographic variability across marine systems and, in turn, can be used as ecological tracers. Here, we analysed stable isotopes of deep-sea fishes to assess the presence of ecological discontinuities across the western Mediterranean. We were specifically interested in exploring the connection between deep-sea biological activity and particular oceanographic features (i.e., surface fronts) occurring in the pelagic domain. We collected samples for three different abundant deep-sea species in May 2004 from an experimental oceanographic trawling cruise (MEDITS): the Mictophydae jewel lanternfish Lampanyctus crocodilus and two species of the Gadidae family, the silvery pout Gadiculus argenteus and the blue whiting Micromesistius poutassou. The experimental survey occurred along the Iberian continental shelf and the upper and middle slopes, from the Strait of Gibraltar in the SW to the Cape Creus in the NE. The three deep-sea species were highly abundant throughout the study area and they showed geographic variation in their isotopic values, with decreasing values from north to south disrupted by an important change point around the Vera Gulf. Isotopic latitudinal gradients were explained by pelagic oceanographic conditions along the study area and confirm the existence of an ecotone at the Vera Gulf. This area could be considered as an oceanographic boundary where waters of Atlantic origin meet Mediterranean surface waters forming important frontal structures such as the Almeria-Oran front. In fact, our results

  1. Overview of physical oceanographic measurements taken during the Mt. Mitchell Cruise to the ROPME Sea Area

    International Nuclear Information System (INIS)

    Reynolds, R.M.

    1993-01-01

    The ROPME Sea Area (RSA) is one of the most important commercial waterways in the world. However, the number of direct oceanographic observations is small. An international program to study the effect of the Iraqi oil spill on the environment was sponsored by the ROPME, the Intergovernmental Oceanographic Commission, and the National Oceanic and Atmospheric Administration (NOAA)

  2. Overview of physical oceanographic measurements taken during the Mt. Mitchell Cruise to the ROPME Sea Area

    Energy Technology Data Exchange (ETDEWEB)

    Reynolds, R.M.

    1993-03-31

    The ROPME Sea Area (RSA) is one of the most important commercial waterways in the world. However, the number of direct oceanographic observations is small. An international program to study the effect of the Iraqi oil spill on the environment was sponsored by the ROPME, the Intergovernmental Oceanographic Commission, and the National Oceanic and Atmospheric Administration (NOAA).

  3. Oceanographic model and radiological basis for control of radionuclide releases

    International Nuclear Information System (INIS)

    Hagen, A.A.

    1984-01-01

    Since it first prepared the provisional Definition of high-level radioactive waste unsuitable for dumping at sea and Recommendations for those radioactive wastes dumped under special permit in 1974, the IAEA has kept the Definition and Recommendations under continuing review. The oceanographic basis for the definition is being re-evaluated, based on a 1983 Report from the IMO/FAO/UNESCO/WMO/WHO/IAEA/UN/UNEP Joint Group of Experts on the Scientific Aspects of Marine Pollution (GESAMP), and the radiological basis is being updated, based on a Report from an IAEA Advisory Group Meeting held in 1982. The differences in the current radiological and oceanographic bases and the updating of both the GESAMP Report on modelling and the review of the radiological basis are delineated. In addition, a discussion of the future course of the Agency's activities in this area is given. (author)

  4. Exploiting the Capabilities of NASA's Giovanni System for Oceanographic Education

    Science.gov (United States)

    Acker, James G.; Petrucio, Emil; Leptoukh, Gregory; Shen, Suhung

    2007-01-01

    The NASA Goddard Earth Science Data and Information Services Center (GES DISC) Giovanni system [GES DISC Interactive Online Visualization ANd aNalysis Infrastructure] has significant capabilities for oceanographic education and independent research utilizing ocean color radiometry data products. Giovanni allows Web-based data discovery and basic analyses, and can be used both for guided illustration of a variety of marine processes and phenomena, and for independent research investigations. Giovanni's capabilities are particularly suited for advanced secondary school science and undergraduate (college) education. This presentation will describe a variety of ways that Giovanni can be used for oceanographic education. Auxiliary information resources that can be utilized will also be described. Several testimonies of Giovanni usage for instruction will be provided, and a recent case history of Giovanni utilization for instruction and research at the undergraduate level is highlighted.

  5. A Modeling Approach to Enhance Animal-Obtained Oceanographic Data Geo- Position

    Science.gov (United States)

    Tremblay, Y.; Robinson, P.; Weise, M. J.; Costa, D. P.

    2006-12-01

    Diving animals are increasingly being used as platforms to collect oceanographic data such as CTD profiles. Animal borne sensors provide an amazing amount of data that have to be spatially referenced. Because of technical limitations geo-position of these data mostly comes from the interpolation of locations obtained through the ARGOS positioning system. This system lacks spatio-temporal resolution compared to the Global Positioning System (GPS) and therefore, the positions of these oceanographic data are not well defined. A consequence of this is that many data collected in coastal regions are discarded, because many casts' records fell on land. Using modeling techniques, we propose a method to deal with this problem. The method is rather intuitive, and instead of deleting unreasonable or low-quality locations, it uses them by taking into account their lack of precision as a source of information. In a similar way, coastlines are used as sources of information, because marine animals do not travel over land. The method was evaluated using simultaneously obtained tracks with the Argos and GPS system. The tracks obtained from this method are considerably enhanced and allow a more accurate geo-reference of oceanographic data. In addition, the method provides a way to evaluate spatial errors for each cast that is not otherwise possible with classical filtering methods.

  6. Adaptive Oceanographic Sampling in a Coastal Environment Using Autonomous Gliding Vehicles

    National Research Council Canada - National Science Library

    Fratantoni, David

    2003-01-01

    ... and modular sensor payload. Particular emphasis is placed on the development of adaptive sampling strategies and the intelligent control of large glider fleets operating within the framework of an autonomous oceanographic sampling network...

  7. Collaborative Oceanographic Research Opportunities with Schmidt Ocean Institute

    Science.gov (United States)

    Zykov, V.

    2014-12-01

    Schmidt Ocean Institute (http://www.schmidtocean.org/) was founded by Dr. Eric Schmidt and Wendy Schmidt in 2009 to support frontier oceanographic research and exploration to expand the understanding of the world's oceans through technological advancement, intelligent, data-rich observation and analysis, and open sharing of information. Schmidt Ocean Institute operates a state-of-the-art globally capable research vessel Falkor (http://www.schmidtocean.org/story/show/47). After two years of scientific operations in the Atlantic Ocean, Gulf of Mexico, Caribbean, Eastern and Central Pacific, R/V Falkor is now preparing to support research in the Western Pacific and Eastern Indian Oceans in 2015 and 2016. As part of the long term research program development for Schmidt Ocean Institute, we aim to identify initiatives and projects that demonstrate strong alignment with our strategic interests. We focus on scientific opportunities that highlight effective use of innovative technologies to better understand the oceans, such as, for example, research enabled with remotely operated and autonomous vehicles, acoustics, in-situ sensing, telepresence, etc. Our technology-first approach to ocean science gave rise to infrastructure development initiatives, such as the development of a new full ocean depth Hybrid Remotely Operated Vehicle, new 6000m scientific Autonomous Underwater Vehicle, live HD video streaming from the ship to YouTube, shipboard high performance supercomputing, etc. We also support projects focusing on oceanographic technology research and development onboard R/V Falkor. We provide our collaborators with access to all of R/V Falkor's facilities and instrumentation in exchange for a commitment to make the resulting scientific data openly available to the international oceanographic community. This presentation aims to expand awareness about the interests and capabilities of Schmidt Ocean Institute and R/V Falkor among our scientific audiences and further

  8. Japan Oceanographic Data Center (JODC) Descriptions of Seafloor Sediment Through 1975

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This file was compiled by the Japan Oceanographic Data Center using the IOC Marine Geological Data Format. It includes 748 master records and 1740 data records. It...

  9. Improving Data Discovery, Access, and Analysis to More Than Three Decades of Oceanographic and Geomorphologic Observations

    Science.gov (United States)

    Forte, M.; Hesser, T.; Knee, K.; Ingram, I.; Hathaway, K. K.; Brodie, K. L.; Spore, N.; Bird, A.; Fratantonio, R.; Dopsovic, R.; Keith, A.; Gadomski, K.

    2016-02-01

    The U.S. Army Engineer Research and Development Center's (USACE ERDC) Coastal and Hydraulics Laboratory (CHL) Coastal Observations and Analysis Branch (COAB) Measurements Program has a 35-year record of coastal observations. These datasets include oceanographic point source measurements, Real-Time Kinematic (RTK) GPS bathymetry surveys, and remote sensing data from both the Field Research Facility (FRF) in Duck, NC and from other project and experiment sites around the nation. The data has been used to support a variety of USACE mission areas, including coastal wave model development, beach and bar response, coastal project design, coastal storm surge, and other coastal hazard investigations. Furthermore these data have been widely used by a number of federal and state agencies, academic institutions, and private industries in hundreds of scientific and engineering investigations, publications, conference presentations and model advancement studies. A limiting factor to the use of FRF data has been rapid, reliable access and publicly available metadata for each data type. The addition of web tools, accessible data files, and well-documented metadata will open the door to much future collaboration. With the help of industry partner RPS ASA and the U.S. Army Corps of Engineers Mobile District Spatial Data Branch, a Data Integration Framework (DIF) was developed. The DIF represents a combination of processes, standards, people, and tools used to transform disconnected enterprise data into useful, easily accessible information for analysis and reporting. A front-end data portal connects the user to the framework that integrates both oceanographic observation and geomorphology measurements using a combination of ESRI and open-source technology while providing a seamless data discovery, access, and analysis experience to the user. The user interface was built with ESRI's JavaScript API and all project metadata is managed using Geoportal. The geomorphology data is made

  10. NATO Advanced Study Institute on Advanced Physical Oceanographic Numerical Modelling

    CERN Document Server

    1986-01-01

    This book is a direct result of the NATO Advanced Study Institute held in Banyuls-sur-mer, France, June 1985. The Institute had the same title as this book. It was held at Laboratoire Arago. Eighty lecturers and students from almost all NATO countries attended. The purpose was to review the state of the art of physical oceanographic numerical modelling including the parameterization of physical processes. This book represents a cross-section of the lectures presented at the ASI. It covers elementary mathematical aspects through large scale practical aspects of ocean circulation calculations. It does not encompass every facet of the science of oceanographic modelling. We have, however, captured most of the essence of mesoscale and large-scale ocean modelling for blue water and shallow seas. There have been considerable advances in modelling coastal circulation which are not included. The methods section does not include important material on phase and group velocity errors, selection of grid structures, advanc...

  11. AFSC/ABL: Little Port Walter Marine Research Station Supply Run Oceanographic Observations

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In November, 2006, Oceanographic observations were initiated during the resupply cruises to the Little Port Walter Research Station on lower Baranof Island,...

  12. Performance evaluation of Honeywell silicon piezoresistive pressure transducers for oceanographic and limnological measurements

    Digital Repository Service at National Institute of Oceanography (India)

    VijayKumar, K.; Joseph, A.; Desai, R.G.P.; Prabhudesai, S.; Nagvekar, S.; Damodaran, V.

    results have indicated that a suitably calibrated temperature-compensated Honeywell PPTR provides an alternate cost-effective means for pressure measurements for coastal oceanographic and limnological studies....

  13. Networking Multiple Autonomous Air and Ocean Vehicles for Oceanographic Research and Monitoring

    Science.gov (United States)

    McGillivary, P. A.; Borges de Sousa, J.; Rajan, K.

    2013-12-01

    Autonomous underwater and surface vessels (AUVs and ASVs) are coming into wider use as components of oceanographic research, including ocean observing systems. Unmanned airborne vehicles (UAVs) are now available at modest cost, allowing multiple UAVs to be deployed with multiple AUVs and ASVs. For optimal use good communication and coordination among vehicles is essential. We report on the use of multiple AUVs networked in communication with multiple UAVs. The UAVs are augmented by inferential reasoning software developed at MBARI that allows UAVs to recognize oceanographic fronts and change their navigation and control. This in turn allows UAVs to automatically to map frontal features, as well as to direct AUVs and ASVs to proceed to such features and conduct sampling via onboard sensors to provide validation for airborne mapping. ASVs can also act as data nodes for communication between UAVs and AUVs, as well as collecting data from onboard sensors, while AUVs can sample the water column vertically. This allows more accurate estimation of phytoplankton biomass and productivity, and can be used in conjunction with UAV sampling to determine air-sea flux of gases (e.g. CO2, CH4, DMS) affecting carbon budgets and atmospheric composition. In particular we describe tests in July 2013 conducted off Sesimbra, Portugal in conjunction with the Portuguese Navy by the University of Porto and MBARI with the goal of tracking large fish in the upper water column with coordinated air/surface/underwater measurements. A thermal gradient was observed in the infrared by a low flying UAV, which was used to dispatch an AUV to obtain ground truth to demonstrate the event-response capabilities using such autonomous platforms. Additional field studies in the future will facilitate integration of multiple unmanned systems into research vessel operations. The strength of hardware and software tools described in this study is to permit fundamental oceanographic measurements of both ocean

  14. FASt - An autonomous sailing platform for oceanographic missions

    OpenAIRE

    Jose C Alves; Nuno A Cruz

    2008-01-01

    Sailing has been for long times the only means of ship propulsion at sea. Although the performance of a sailing vessel is well below the present power driven ships, either in terms of navigation speed and predictability, wind energy is absolutely renewable, clean and free. Unmanned autonomous sailing boats may exhibit a virtually unlimited autonomy and be able to perform unassisted missions at sea for long periods of time. Promising applications include oceanographic and weather data collecti...

  15. Oceanographic Survey of Cross Seamount and Control Sites (OES0505, EK60)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The goal of the cruise was to collect physical and biological oceanographic data at three distinct environment in the lee of the Island of Hawaii: a relatively...

  16. A variable resolution right TIN approach for gridded oceanographic data

    Science.gov (United States)

    Marks, David; Elmore, Paul; Blain, Cheryl Ann; Bourgeois, Brian; Petry, Frederick; Ferrini, Vicki

    2017-12-01

    Many oceanographic applications require multi resolution representation of gridded data such as for bathymetric data. Although triangular irregular networks (TINs) allow for variable resolution, they do not provide a gridded structure. Right TINs (RTINs) are compatible with a gridded structure. We explored the use of two approaches for RTINs termed top-down and bottom-up implementations. We illustrate why the latter is most appropriate for gridded data and describe for this technique how the data can be thinned. While both the top-down and bottom-up approaches accurately preserve the surface morphology of any given region, the top-down method of vertex placement can fail to match the actual vertex locations of the underlying grid in many instances, resulting in obscured topology/bathymetry. Finally we describe the use of the bottom-up approach and data thinning in two applications. The first is to provide thinned, variable resolution bathymetry data for tests of storm surge and inundation modeling, in particular hurricane Katrina. Secondly we consider the use of the approach for an application to an oceanographic data grid of 3-D ocean temperature.

  17. Relationships between tuna catch and variable frequency oceanographic conditions

    Directory of Open Access Journals (Sweden)

    F. I. Ormaza-González

    2016-08-01

    Full Text Available Skipjack (Katsuwunus pelamis, yellow fin (Thunnus albacares and albacore (Thunnus alulunga tunas landed in the Eastern Pacific Ocean (EPO countries and Ecuador were correlated to the Indexes Oceanic El Niño (ONI and Multivariate Enso Index (MEI. The temporal series 1983–2012, and 1977–1999 (warm Pacific Decadal Oscillation, PDO, and 2000–2012 (cold PDO were analyzed. Linear correlation showed that at least 11 % of the total landings were associated with the MEI, with a slightly negative gradient from cold to warm conditions. When non-linear regression (n  =  6, the R2 was higher up to 0.304 (MEI, r =  0.551. The correlation shows high spread from −0.5 to +0.5 for both MEI/ONI; the highest landings occurred at 0.34–0.45; both indexes suggested that at extreme values < −1.0 and > 1.1 total landings tend to decrease. Landings were associated up to 21.9 % (MEI in 2000–2012, 1983–1999 rendered lower R2 (< 0.09; i.e., during cold PDO periods there was a higher association between landings and oceanographic conditions. For the non-linear regression (n  =  6 a R2 of 0.374 (MEI and 0.408 (ONI were registered, for the 2000–2012, a higher R2 was observed in 1983–1999, 0.443 and 0.711 for MEI and ONI respectively, suggesting that is better to analyze split series (1983–1999, 2000–2012 than as a whole (1983–2012, due to noise produced by the transition from hot to cold PDOs. The highest landings were in the range −0.2 to 0.5 for MEI/ONI. The linear regression of skipjack landings in Ecuador gave an R2 of 0.140 (MEI and 0.066 (ONI and the non-linear were 0.440 and 0.183 respectively. Total landings in the EPO associated to oceanographic events of high and low frequencies could be used somehow as predictors of the high El Niño o La Niña. There is a clear evidence that tuna fish biomass are at higher levels when the PDO is on cold phase (2000–2030 and vice versa on warm phase (1980–1999. The

  18. Oceanographic Survey of Cross Seamount and Control Sites (SE0803, EK60)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The goals of the cruise were to collect acoustic backscatter and oceanographic data at Cross Seamount (18?43.285? N, longitude 158? 15.710? W) and at control sites...

  19. Marine Red Staining of a Pennsylvanian Carbonate Slope: Environmental and Oceanographic Significance

    NARCIS (Netherlands)

    van der Kooij, B.; Immenhauser, A.M.; Steuber, T; Hagmaier, M.; Bahamonde, J.R.; Samankassou, E.; Merino Tomé, O.

    2007-01-01

    Red-stained platform facies are a common feature of many carbonate settings throughout the geological record. Although the mechanisms involved in red staining of subaerially exposed or argillaceous, peri-platforin limestones are reasonably well understood, the environmental and oceanographic

  20. Profiles of temperature, salinity, and other measurements from CTD, XBT, and bottle samplers received from the Japan Oceanographic Data Center (NODC Accession 0054093)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Profiles of temperature, salinity, and other measurements received from the Japan Oceanographic Data Center, Hydrographic and Oceanographic Department as a...

  1. A simple low cost speed log interface for oceanographic data acquisition system

    Digital Repository Service at National Institute of Oceanography (India)

    Khedekar, V.D.; Phadte, G.M.

    A speed log interface is designed with parallel Binary Coded Decimal output. This design was mainly required for the oceanographic data acquisition system as an interface between the speed log and the computer. However, this can also be used as a...

  2. Seasonal Variations of Oceanographic Variables and Eastern Little Tuna (Euthynnus affinis) Catches in the North Indramayu Waters Java Sea

    Science.gov (United States)

    Syamsuddin, Mega; Sunarto; Yuliadi, Lintang

    2018-02-01

    The remotely derived oceanographic variables included sea surface temperature (SST), chlorophyll-a (Chl-a) and Eastern Little Tuna (Euthynnus affinis) catches are used as a combined dataset to understand the seasonal variation of oceanographic variables and Eastern Little Tuna catches in the north Indramayu waters, Java Sea. The fish catches and remotely sensed data were analysed for the 5 years datasets from 2010-2014. This study has shown the effect of monsoon inducing oceanographic condition in the study area. Seasonal change features were dominant for all the selected oceanographic parameters of SST and Chl-a, and also Eastern Little Tuna catches, respectively. The Eastern Little Tuna catch rates have the peak season from September to December (700 to 1000) ton that corresponded with the value of SST ranging from 29 °C to 30 °C following the decreasing of Chl-a concentrations in September to November (0.4 to 0.5) mg m-3. The monsoonal system plays a great role in determining the variability of oceanographic conditions and catch in the north Indramayu waters, Java Sea. The catches seemed higher during the northwest monsoon than in the southeast monsoon for all year observations except in 2010. The wavelet spectrum analysis results confirmed that Eastern Little Tuna catches had seasonal and inter-annual variations during 2012-2014. The SST had seasonal variations during 2010-2014. The Chl-a also showed seasonal variations during 2010-2011 and interannual variations during 2011-2014. Our results would benefit the fishermen and policy makers to have better management for sustainable catch in the study area.

  3. Persistent Identifiers for Field Expeditions: A Next Step for the US Oceanographic Research Fleet

    Science.gov (United States)

    Arko, Robert; Carbotte, Suzanne; Chandler, Cynthia; Smith, Shawn; Stocks, Karen

    2016-04-01

    Oceanographic research cruises are complex affairs, typically requiring an extensive effort to secure the funding, plan the experiment, and mobilize the field party. Yet cruises are not typically published online as first-class digital objects with persistent, citable identifiers linked to the scientific literature. The Rolling Deck to Repository (R2R; info@rvdata.us) program maintains a master catalog of oceanographic cruises for the United States research fleet, currently documenting over 6,000 expeditions on 37 active and retired vessels. In 2015, R2R started routinely publishing a Digital Object Identifier (DOI) for each completed cruise. Cruise DOIs, in turn, are linked to related persistent identifiers where available including the Open Researcher and Contributor ID (ORCID) for members of the science party, the International Geo Sample Number (IGSN) for physical specimens collected during the cruise, the Open Funder Registry (FundRef) codes that supported the experiment, and additional DOIs for datasets, journal articles, and other products resulting from the cruise. Publishing a persistent identifier for each field expedition will facilitate interoperability between the many different repositories that hold research products from cruises; will provide credit to the investigators who secured the funding and carried out the experiment; and will facilitate the gathering of fleet-wide altmetrics that demonstrate the broad impact of oceanographic research.

  4. Impact of life history traits on gene flow: A multispecies systematic review across oceanographic barriers in the Mediterranean Sea

    KAUST Repository

    Pascual, Marta

    2017-05-10

    Marine species can demonstrate strong genetic differentiation and population structure despite the hypothesis of open seas and high connectivity. Some suggested drivers causing the genetic breaks are oceanographic barriers and the species\\' biology. We assessed the relevance of seven major oceanographic fronts on species connectivity while considering their dispersal capacity and life strategy.We systematically reviewed the scientific articles reporting population genetic differentiation along the Mediterranean Sea and across the Atlantic-Mediterranean transition. We retained those considering at least one sampling locality at each side of an oceanographic front, and at least two localities with no-front between them to correctly assess the effect of the front. To estimate the impact of life history characteristics affecting connectivity we considered the planktonic larval duration (PLD) and adult life strategy.Oceanographic barriers in the Mediterranean Sea seem to reduce gene flow globally; however, this effect is not homogeneous considering the life history traits of the species. The effect of the oceanographic fronts reduces gene flow in highly mobile species with PLD larger than 2-4 weeks. Benthic sessile species and/or with short PLD (< 2 weeks) have more significant genetic breaks between localities than species with higher motility; however, genetic differentiation occurs independently of the presence of a front.Genetic connectivity is important for populations to recover from anthropogenic or natural impacts. We show that species with low mobility, mostly habitat-formers, have high genetic differentiation but low gene flow reduction mediated by the front, therefore, considering the importance of these species, we emphasize the vulnerability of the Mediterranean ecosystems and the necessity of protection strategies based on the whole ecosystem.

  5. Holocene oceanographic changes in SW Labrador Sea, off Newfoundland

    DEFF Research Database (Denmark)

    Sheldon, Christina; Seidenkrantz, Marit-Solveig; Pearce, Christof

    2016-01-01

    Benthic foraminiferal assemblages supported by selected geochemical data from three marine sediment cores collected in Placentia Bay, SE Newfoundland, are used to construct an ~13,000-year-long record of regional oceanographic changes in the SW Labrador Sea. The area is located in the boundary zo....... The Northern Hemisphere neoglacial cooling around 2.8 cal. kyr BP was characterized off SE Newfoundland by a further stabilization of the current system, dominated by the LC with some continued influx of GS water....

  6. High Interannual Variability in Connectivity and Genetic Pool of a Temperate Clingfish Matches Oceanographic Transport Predictions

    Science.gov (United States)

    Teixeira, Sara; Assis, Jorge; Serrão, Ester A.; Gonçalves, Emanuel J.; Borges, Rita

    2016-01-01

    Adults of most marine benthic and demersal fish are site-attached, with the dispersal of their larval stages ensuring connectivity among populations. In this study we aimed to infer spatial and temporal variation in population connectivity and dispersal of a marine fish species, using genetic tools and comparing these with oceanographic transport. We focused on an intertidal rocky reef fish species, the shore clingfish Lepadogaster lepadogaster, along the southwest Iberian Peninsula, in 2011 and 2012. We predicted high levels of self-recruitment and distinct populations, due to short pelagic larval duration and because all its developmental stages have previously been found near adult habitats. Genetic analyses based on microsatellites countered our prediction and a biophysical dispersal model showed that oceanographic transport was a good explanation for the patterns observed. Adult sub-populations separated by up to 300 km of coastline displayed no genetic differentiation, revealing a single connected population with larvae potentially dispersing long distances over hundreds of km. Despite this, parentage analysis performed on recruits from one focal site within the Marine Park of Arrábida (Portugal), revealed self-recruitment levels of 2.5% and 7.7% in 2011 and 2012, respectively, suggesting that both long- and short-distance dispersal play an important role in the replenishment of these populations. Population differentiation and patterns of dispersal, which were highly variable between years, could be linked to the variability inherent in local oceanographic processes. Overall, our measures of connectivity based on genetic and oceanographic data highlight the relevance of long-distance dispersal in determining the degree of connectivity, even in species with short pelagic larval durations. PMID:27911952

  7. The CO5 configuration of the 7 km Atlantic Margin Model: large-scale biases and sensitivity to forcing, physics options and vertical resolution

    Science.gov (United States)

    O'Dea, Enda; Furner, Rachel; Wakelin, Sarah; Siddorn, John; While, James; Sykes, Peter; King, Robert; Holt, Jason; Hewitt, Helene

    2017-08-01

    We describe the physical model component of the standard Coastal Ocean version 5 configuration (CO5) of the European north-west shelf (NWS). CO5 was developed jointly between the Met Office and the National Oceanography Centre. CO5 is designed with the seamless approach in mind, which allows for modelling of multiple timescales for a variety of applications from short-range ocean forecasting to climate projections. The configuration constitutes the basis of the latest update to the ocean and data assimilation components of the Met Office's operational Forecast Ocean Assimilation Model (FOAM) for the NWS. A 30.5-year non-assimilating control hindcast of CO5 was integrated from January 1981 to June 2012. Sensitivity simulations were conducted with reference to the control run. The control run is compared against a previous non-assimilating Proudman Oceanographic Laboratory Coastal Ocean Modelling System (POLCOMS) hindcast of the NWS. The CO5 control hindcast is shown to have much reduced biases compared to POLCOMS. Emphasis in the system description is weighted to updates in CO5 over previous versions. Updates include an increase in vertical resolution, a new vertical coordinate stretching function, the replacement of climatological riverine sources with the pan-European hydrological model E-HYPE, a new Baltic boundary condition and switching from directly imposed atmospheric model boundary fluxes to calculating the fluxes within the model using a bulk formula. Sensitivity tests of the updates are detailed with a view toward attributing observed changes in the new system from the previous system and suggesting future directions of research to further improve the system.

  8. Growth and abundance of Pacific Sand Lance, Ammodytes hexapterus, under differing oceanographic regimes

    Science.gov (United States)

    Robards, Martin D.; Gray, Floyd; Piatt, John F.

    2002-01-01

    Dramatic changes in seabird and marine mammal stocks in the Gulf of Alaska have been linked to shifts in abundance and composition of forage fish stocks over the past 20 years. The relative value (e.g., size and condition of individual fish, abundance) of specific forage fish stocks to predators under temporally changing oceanographic regimes is also expected to vary. We inferred potential temporal responses in abundance, growth, and age structure of a key forage fish, sand lance, by studying across spatially different oceanographic regimes. Marked meso-scale differences in abundance, growth, and mortality existed in conjunction with these differing regimes. Growth rate within stocks (between years) was positively correlated with temperature. However, this relationship did not exist among stocks (locations) and differing growth rates were better correlated to marine productivity. Sand lance were least abundant and grew slowest at the warmest site (Chisik Island), an area of limited habitat and low food abundance. Abundance and growth of juvenile sand lance was highest at the coolest site (Barren Islands), an area of highly productive upwelled waters. Sand lance at two sites located oceanographically between the Barren Islands and Chisik Island (inner- and outer-Kachemak Bay) displayed correspondingly intermediate abundance and growth. Resident predators at these sites are presented with markedly different numbers and quality of this key prey species. Our results suggest that at the decadal scale, Gulf of Alaska forage fish such as sand lance are probably more profoundly affected by changes in abundance and quality of their planktonic food, than by temperature alone.

  9. Oceanographic Survey of Cross Seamount and Control Sites (OES0703L1, EK60)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The goals of the cruise were to collect acoustic backscatter and oceanographic data at Cross Seamount (18?43.285? N, longitude 158? 15.710? W), with an approximately...

  10. Federated provenance of oceanographic research cruises: from metadata to data

    Science.gov (United States)

    Thomas, Rob; Leadbetter, Adam; Shepherd, Adam

    2016-04-01

    The World Wide Web Consortium's Provenance Data Model and associated Semantic Web ontology (PROV-O) have created much interest in the Earth and Space Science Informatics community (Ma et al., 2014). Indeed, PROV-O has recently been posited as an upper ontology for the alignment of various data models (Cox, 2015). Similarly, PROV-O has been used as the building blocks of a data release lifecycle ontology (Leadbetter & Buck, 2015). In this presentation we show that the alignment between different local data descriptions of an oceanographic research cruise can be achieved through alignment with PROV-O and that descriptions of the funding bodies, organisations and researchers involved in a cruise and its associated data release lifecycle can be modelled within a PROV-O based environment. We show that, at a first-order, this approach is scalable by presenting results from three endpoints (the Biological and Chemical Oceanography Data Management Office at Woods Hole Oceanographic Institution, USA; the British Oceanographic Data Centre at the National Oceanography Centre, UK; and the Marine Institute, Ireland). Current advances in ontology engineering, provide pathways to resolving reasoning issues from varying perspectives on implementing PROV-O. This includes the use of the Information Object design pattern where such edge cases as research cruise scheduling efforts are considered. PROV-O describes only things which have happened, but the Information Object design pattern allows for the description of planned research cruises through its statement that the local data description is not the the entity itself (in this case the planned research cruise) and therefore the local data description itself can be described using the PROV-O model. In particular, we present the use of the data lifecycle ontology to show the connection between research cruise activities and their associated datasets, and the publication of those data sets online with Digital Object Identifiers and

  11. Archive of Geosample Data and Information from the NOAA Atlantic Oceanographic and Meteorological Laboratories (AOML).

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. Department of Commerce, National Oceanic and Atmospheric Administration (NOAA) Atlantic Oceanograpic and Meteorological Laboratories (AOML) formerly...

  12. USGS HYDRoacoustic dataset in support of the Surface Water Oceanographic Topography satellite mission (HYDRoSWOT)

    Data.gov (United States)

    Department of the Interior — HYDRoSWOT – HYDRoacoustic dataset in support of Surface Water Oceanographic Topography – is a data set that aggregates channel and flow data collected from the USGS...

  13. Reproductive parameters of tropical lesser noddies respond to local variations in oceanographic conditions and weather

    Science.gov (United States)

    Monticelli, David; Ramos, Jaime A.; Catry, Teresa; Pedro, Patricia; Paiva, Vitor H.

    2014-02-01

    Most attempts to link seabirds and climate/oceanographic effects have concerned the Atlantic and Pacific Oceans with comparatively few studies in the tropical Indian Ocean. This paper examines the reproductive response of the lesser noddy Anous tenuirostris to temporal fluctuations in oceanographic and climatic conditions using 8 years of monitoring data from Aride Island (Seychelles), tropical Western Indian Ocean. We tested the hypothesis that breeding parameters (mean hatching date, mean egg size, hatching and fledging successes) and chick growth are influenced by local, seasonal oceanographic conditions as expressed by ocean primary productivity (surface chlorophyll-a concentrations; CC), sea surface temperature (SST) and wind speed. We also examined the relationship between lesser noddy breeding parameters and climate conditions recorded at the basin-wide scale of the Indian Ocean (Indian Ocean Dipole Mode Index, DMI). Our findings suggest that birds had a tendency to lay slightly larger eggs during breeding seasons (years) with higher CC during April-June (pre-laying, laying and incubation periods). Hatching date was positively related to SST in April-June, with the regression parameters suggesting that each 0.5 °C increase in SST meant a delay of approx.10 days in hatching date. A negative linear relationship was also apparent between hatching success and SST in June-August (hatching and chick-rearing periods), while the quadratic regression models detected a significant effect of wind speed in June-August on fledging success. Body mass increments of growing chicks averaged over 7-day periods were positively related with (2-week) lagged CC values and negatively related with (2-week) lagged SST values. No significant relationship between DMI and lesser noddy breeding parameters was found, but DMI indices were strongly correlated with local SST. Altogether, our results indicate that the reproduction of this top marine predator is dictated by fluctuations in

  14. Integrating Multiple Autonomous Underwater Vessels, Surface Vessels and Aircraft into Oceanographic Research Vessel Operations

    Science.gov (United States)

    McGillivary, P. A.; Borges de Sousa, J.; Martins, R.; Rajan, K.

    2012-12-01

    Autonomous platforms are increasingly used as components of Integrated Ocean Observing Systems and oceanographic research cruises. Systems deployed can include gliders or propeller-driven autonomous underwater vessels (AUVs), autonomous surface vessels (ASVs), and unmanned aircraft systems (UAS). Prior field campaigns have demonstrated successful communication, sensor data fusion and visualization for studies using gliders and AUVs. However, additional requirements exist for incorporating ASVs and UASs into ship operations. For these systems to be optimally integrated into research vessel data management and operational planning systems involves addressing three key issues: real-time field data availability, platform coordination, and data archiving for later analysis. A fleet of AUVs, ASVs and UAS deployed from a research vessel is best operated as a system integrated with the ship, provided communications among them can be sustained. For this purpose, Disruptive Tolerant Networking (DTN) software protocols for operation in communication-challenged environments help ensure reliable high-bandwidth communications. Additionally, system components need to have considerable onboard autonomy, namely adaptive sampling capabilities using their own onboard sensor data stream analysis. We discuss Oceanographic Decision Support System (ODSS) software currently used for situational awareness and planning onshore, and in the near future event detection and response will be coordinated among multiple vehicles. Results from recent field studies from oceanographic research vessels using AUVs, ASVs and UAS, including the Rapid Environmental Picture (REP-12) cruise, are presented describing methods and results for use of multi-vehicle communication and deliberative control networks, adaptive sampling with single and multiple platforms, issues relating to data management and archiving, and finally challenges that remain in addressing these technological issues. Significantly, the

  15. Design and performance evaluation of a hall effect magnetic compass for oceanographic and meteorological applications

    Digital Repository Service at National Institute of Oceanography (India)

    Joseph, A.; Desai, R.G.P.; Agarvadekar, Y.; Tengali, T.; Mishra, M.; Fadate, C.; Gomes, L.

    A Hall Effect magnetic compass, suitable for oceanographic and meteorological applications, has been designed and its performance characteristics have been evaluated. Slope of the least-squares-fitted linear graph was found to be close to the ideal...

  16. The Ligurian Cluster for Marine Technologies (DLTM): matching local research and industrial needs on oceanographic data.

    Science.gov (United States)

    Stroobant, M.; Locritani, M.; Marini, D.; Sabbadini, L.; Carmisciano, C.; Manzella, G.; Magaldi, M.; Aliani, S.

    2012-04-01

    DLTM is the Ligurian Region (north Italy) cluster of Centre of Excellence (CoE) in waterborne technologies, that involves about 120 enterprises - of which, more than 100 SMEs -, the University of Genoa, all the main National Research Centres dealing with maritime and marine technologies established in Liguria (CNR, INGV, ENEA-UTMAR), the NATO Undersea Research Centre (NURC) and the Experimental Centre of the Italian Navy (CSSN), the Bank, the Port Authority and the Chamber of Commerce of the city of La Spezia. Following its mission, DLTM has recently established three Collaborative Research Laboratories focused on: 1. Computational Fluid dynamics (CFD_Lab) 2. High Performance Computing (HPC_Lab) 3. Monitoring and Analysis of Marine Ecosystems (MARE_Lab). The main role of them is to improve the relationships among the research centres and the enterprises, encouraging a systematic networking approach and sharing of knowledge, data, services, tools and human resources. Two of the key objectives of Lab_MARE are the establishment of: - an integrated system of observation and sea forecasting; - a Regional Marine Instrument Centre (RMIC) for oceanographic and metereological instruments (assembled using 'shared' tools and facilities). Besides, an important and innovative research project has been recently submitted to the Italian Ministry for Education, University and Research (MIUR). This project, in agreement with the European Directives (COM2009 (544)), is aimed to develop a Management Information System (MIS) for oceanographic and meteorological data in the Mediterranean Sea. The availability of adequate HPC inside DLTM is, of course, an important asset for achieving useful results; for example, the Regional Ocean Modeling System (ROMS) model is currently running on a high-resolution mesh on the cluster to simulate and reproduce the circulation within the Ligurian Sea. ROMS outputs will have broad and multidisciplinary impacts because ocean circulation affects the

  17. Acoustic Metadata Management and Transparent Access to Networked Oceanographic Data Sets

    Science.gov (United States)

    2015-09-30

    Transparent Access to Networked Oceanographic Data Sets Marie A. Roch Dept. of Computer Science San Diego State University 5500 Campanile Drive San...specific technologies for processing Excel spreadsheets and Access databases. The architecture (Figure 4) is based on a client-server model...Keesey, M. S., Lieske, J. H., Ostro, S. J., Standish, E. M., and Wimberly, R. N. (1996). "JPL’s On-Line Solar System Data Service," B. Am. Astron

  18. Analysis of southeast Australian zooplankton observations of 1938-42 using synoptic oceanographic conditions

    Science.gov (United States)

    Baird, Mark E.; Everett, Jason D.; Suthers, Iain M.

    2011-03-01

    The research vessel Warreen obtained 1742 planktonic samples along the continental shelf and slope of southeast Australia from 1938-42, representing the earliest spatially and temporally resolved zooplankton data from Australian marine waters. In this paper, Warreen observations along the southeast Australian seaboard from 28°S to 38°S are interpreted based on synoptic meteorological and oceanographic conditions and ocean climatologies. Meteorological conditions are based on the NOAA-CIRES 20th Century Reanalysis Project; oceanographic conditions use Warreen hydrological observations, and the ocean climatology is the CSIRO Atlas of Regional Seas. The Warreen observations were undertaken in waters on average 0.45 °C cooler than the climatological average, and included the longest duration El Niño of the 20th century. In northern New South Wales (NSW), week time-scale events dominate zooplankton response. In August 1940 an unusual winter upwelling event occurred in northern NSW driven by a stronger than average East Australian Current (EAC) and anomalous northerly winds that resulted in high salp and larvacean abundance. In January 1941 a strong upwelling event between 28° and 33°S resulted in a filament of upwelled water being advected south and alongshore, which was low in zooplankton biovolume. In southern NSW a seasonal cycle in physical and planktonic characteristics is observed. In January 1941 the poleward extension of the EAC was strong, advecting more tropical tunicate species southward. Zooplankton abundance and distribution on the continental shelf and slope are more dependent on weekly to monthly timescales on local oceanographic and meteorological conditions than continental-scale interannual trends. The interpretation of historical zooplankton observations of the waters off southeast Australia for the purpose of quantifying anthropogenic impacts will be improved with the use of regional hindcasts of synoptic ocean and atmospheric weather that can

  19. Towards Improved Satellite-In Situ Oceanographic Data Interoperability and Associated Value Added Services at the Podaac

    Science.gov (United States)

    Tsontos, V. M.; Huang, T.; Holt, B.

    2015-12-01

    The earth science enterprise increasingly relies on the integration and synthesis of multivariate datasets from diverse observational platforms. NASA's ocean salinity missions, that include Aquarius/SAC-D and the SPURS (Salinity Processes in the Upper Ocean Regional Study) field campaign, illustrate the value of integrated observations in support of studies on ocean circulation, the water cycle, and climate. However, the inherent heterogeneity of resulting data and the disparate, distributed systems that serve them complicates their effective utilization for both earth science research and applications. Key technical interoperability challenges include adherence to metadata and data format standards that are particularly acute for in-situ data and the lack of a unified metadata model facilitating archival and integration of both satellite and oceanographic field datasets. Here we report on efforts at the PO.DAAC, NASA's physical oceanographic data center, to extend our data management and distribution support capabilities for field campaign datasets such as those from SPURS. We also discuss value-added services, based on the integration of satellite and in-situ datasets, which are under development with a particular focus on DOMS. The distributed oceanographic matchup service (DOMS) implements a portable technical infrastructure and associated web services that will be broadly accessible via the PO.DAAC for the dynamic collocation of satellite and in-situ data, hosted by distributed data providers, in support of mission cal/val, science and operational applications.

  20. Influence of Wind Model Performance on Wave Forecasts of the Naval Oceanographic Office

    Science.gov (United States)

    Gay, P. S.; Edwards, K. L.

    2017-12-01

    Significant discrepancies between the Naval Oceanographic Office's significant wave height (SWH) predictions and observations have been noted in some model domains. The goal of this study is to evaluate these discrepancies and identify to what extent inaccuracies in the wind predictions may explain inaccuracies in SWH predictions. A one-year time series of data is evaluated at various locations in Southern California and eastern Florida. Correlations are generally quite good, ranging from 73% at Pendleton to 88% at both Santa Barbara, California, and Cape Canaveral, Florida. Correlations for month-long periods off Southern California drop off significantly in late spring through early autumn - less so off eastern Florida - likely due to weaker local wind seas and generally smaller SWH in addition to the influence of remotely-generated swell, which may not propagate accurately into and through the wave models. The results of this study suggest that it is likely that a change in meteorological and/or oceanographic conditions explains the change in model performance, partially as a result of a seasonal reduction in wind model performance in the summer months.

  1. Genetic and oceanographic tools reveal high population connectivity and diversity in the endangered pen shell Pinna nobilis

    KAUST Repository

    Wesselmann, Marlene; Gonzá lez-Wangü emert, Mercedes; Serrã o, Ester A.; Engelen, Aschwin H.; Renault, Lionel; Garcí a-March, José R.; Duarte, Carlos M.; Hendriks, Iris E.

    2018-01-01

    For marine meta-populations with source-sink dynamics knowledge about genetic connectivity is important to conserve biodiversity and design marine protected areas (MPAs). We evaluate connectivity of a Mediterranean sessile species, Pinna nobilis. To address a large geographical scale, partial sequences of cytochrome oxidase I (COI, 590 bp) were used to evaluate phylogeographical patterns in the Western Mediterranean, and in the whole basin using overlapping sequences from the literature (243 bp). Additionally, we combined (1) larval trajectories based on oceanographic currents and early life-history traits and (2) 10 highly polymorphic microsatellite loci collected in the Western Mediterranean. COI results provided evidence for high diversity and low inter-population differentiation. Microsatellite genotypes showed increasing genetic differentiation with oceanographic transport time (isolation by oceanographic distance (IBD) set by marine currents). Genetic differentiation was detected between Banyuls and Murcia and between Murcia and Mallorca. However, no genetic break was detected between the Balearic populations and the mainland. Migration rates together with numerical Lagrangian simulations showed that (i) the Ebro Delta is a larval source for the Balearic populations (ii) Alicante is a sink population, accumulating allelic diversity from nearby populations. The inferred connectivity can be applied in the development of MPA networks in the Western Mediterranean.

  2. Genetic and oceanographic tools reveal high population connectivity and diversity in the endangered pen shell Pinna nobilis

    KAUST Repository

    Wesselmann, Marlene

    2018-03-13

    For marine meta-populations with source-sink dynamics knowledge about genetic connectivity is important to conserve biodiversity and design marine protected areas (MPAs). We evaluate connectivity of a Mediterranean sessile species, Pinna nobilis. To address a large geographical scale, partial sequences of cytochrome oxidase I (COI, 590 bp) were used to evaluate phylogeographical patterns in the Western Mediterranean, and in the whole basin using overlapping sequences from the literature (243 bp). Additionally, we combined (1) larval trajectories based on oceanographic currents and early life-history traits and (2) 10 highly polymorphic microsatellite loci collected in the Western Mediterranean. COI results provided evidence for high diversity and low inter-population differentiation. Microsatellite genotypes showed increasing genetic differentiation with oceanographic transport time (isolation by oceanographic distance (IBD) set by marine currents). Genetic differentiation was detected between Banyuls and Murcia and between Murcia and Mallorca. However, no genetic break was detected between the Balearic populations and the mainland. Migration rates together with numerical Lagrangian simulations showed that (i) the Ebro Delta is a larval source for the Balearic populations (ii) Alicante is a sink population, accumulating allelic diversity from nearby populations. The inferred connectivity can be applied in the development of MPA networks in the Western Mediterranean.

  3. Community response of zooplankton to oceanographic changes (2002-2012) in the central/southern upwelling system of Chile

    Science.gov (United States)

    Medellín-Mora, Johanna; Escribano, Ruben; Schneider, Wolfgang

    2016-03-01

    A 10-year time series (2002-2012) at Station 18 off central/southern Chile allowed us to study variations in zooplankton along with interannual variability and trends in oceanographic conditions. We used an automated analysis program (ZooImage) to assess changes in the mesozooplankton size structure and the composition of the taxa throughout the entire community. Oceanographic conditions changed over the decade: the water column became less stratified, more saline, and colder; the mixed layer deepened; and the oxygen minimum zone became shallower during the second half of the time series (2008-2012) in comparison with the first period (2002-2007). Both the size structure and composition of the zooplankton were significantly associated with oceanographic changes. Taxonomic and size diversity of the zooplankton community increased to the more recent period. For the second period, small sized copepods (1.5 mm) and medium size copepods (1-1.5 mm), whereas euphausiids, decapod larvae, appendicularian and ostracods increased their abundance during the second period. These findings indicated that the zooplankton community structure in this eastern boundary ecosystem was strongly influenced by variability of the upwelling process. Thus, climate-induced forcing of upwelling trends can alter the zooplankton community in this highly productive region with potential consequences for the ecosystem food web.

  4. Oceanographic Data in Europe: Minimal Effort for Data Providers, Maximal Ease of Use and Access for Data Users

    Science.gov (United States)

    De Bruin, T.

    2017-12-01

    SeaDataCloud/SeaDataNet (SDC/SDN) is both a consortium and a data infrastructure as well as a (series of) European oceanographic data management project(s), allowing data providers to store data at a data centre of their choice (usually a type of National Oceanographic Data Center), while exposing and making the data available for download via a chain of interconnected data portals at local, regional, pan-European and global levels. SDC/SDN as an infrastructure connects over 100 data centers from 35 countries in and around Europe. The infrastructure has been operational since early 2009 and provides the user an overview of all available data as well as the possibility to download the data in an uniform format. This presentation will give a short introduction to the SDC/SDN infrastructure and describe how its development was based on sound data management principles. The emphasis will be on how the system is interconnected with other, non-discipline specific (metadata) portals such as the Group of Earth Observations System of Systems (GEOSS), allowing oceanographic data stored at a local level in a data centre to be exposed at a global level to a wide audience from various disciplines.

  5. Oceanographic and surface meteorological data collected from Gibraltar Island Station by Ohio State University; Stone Laboratory and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2015-05-26 to 2017-08-31 (NCEI Accession 0130545)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0130545 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  6. Oceanographic processes and products around the Iberian margin: a new multidisciplinary approach; Procesos oceanograficos y sus productos alrededor del margen de Iberia: una nueva aproximacion multidisciplinar

    Energy Technology Data Exchange (ETDEWEB)

    Hernandez-Molina, F. J.; Wahlin, A.; Bruno, M.; Ercilla, G.; Llave, E.; Serra, N.; Roson, G.; Puig, P.; Rebesco, M.; Van Rooij, D.; Roque, D.; Gonzalez-Pola, C.; Sanchez, F.; Gomez, M.; Preu, B.; Schwenk, T.; Hanebuth, T. J. J.; Sanchez Leal, R. F.; Garcia-Lafuente, J.; Bracjenridge, R. E.; Juan, C.; Stow, D. A. V.; Sanchez-Gonzalez, J. M.

    2015-07-01

    Our understanding of the role of bottom currents and associated oceanographic processes (e.g., overflows, barotropic tidal currents) including intermittent processes (e.g., vertical eddies, deep sea storms, horizontal vortices, internal waves and tsunamis) is rapidly evolving. Many deep-water processes remain poorly under- stood due to limited direct observations, but may generate significant depositional and erosional features on both short- and long-term time scales. This paper describes these oceanographic processes and examines their potential role in the sedimentary features around the Iberian margin. The paper explores the implications of the processes studied, given their secondary role relative to other factors such as mass-transport and turbiditic processes. An integrated interpretation of these oceanographic processes requires an understanding of contourites, sea-floor features, their spatial and temporal evolution, and the near-bottom flows that form them. Given their complex, three-dimensional and temporally-variable nature, integration of these processes into sedimentary, oceanographic and climatological frameworks will require a multidisciplinary approach that includes Geology, Physical Oceanography, Paleoceanography and Benthic Biology. This approach will synthesize oceanographic data, seafloor morphology, sediments and seismic images to improve our knowledge of permanent and intermittent processes around Iberia, and evaluate their conceptual and regional role in the sedimentary evolution of the margin. (Author)

  7. Alaska Northern Fur Seal Adult Female Satellite Telemetry and Oceanographic Data, 2002/03 and 2009/10

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set is comprised of data used for an analysis of the interactions between adult female northern fur seal migratory and foraging behavior and oceanographic...

  8. Extreme oceanographic forcing and coastal response due to the 2015-2016 El Niño.

    Science.gov (United States)

    Barnard, Patrick L; Hoover, Daniel; Hubbard, David M; Snyder, Alex; Ludka, Bonnie C; Allan, Jonathan; Kaminsky, George M; Ruggiero, Peter; Gallien, Timu W; Gabel, Laura; McCandless, Diana; Weiner, Heather M; Cohn, Nicholas; Anderson, Dylan L; Serafin, Katherine A

    2017-02-14

    The El Niño-Southern Oscillation is the dominant mode of interannual climate variability across the Pacific Ocean basin, with influence on the global climate. The two end members of the cycle, El Niño and La Niña, force anomalous oceanographic conditions and coastal response along the Pacific margin, exposing many heavily populated regions to increased coastal flooding and erosion hazards. However, a quantitative record of coastal impacts is spatially limited and temporally restricted to only the most recent events. Here we report on the oceanographic forcing and coastal response of the 2015-2016 El Niño, one of the strongest of the last 145 years. We show that winter wave energy equalled or exceeded measured historical maxima across the US West Coast, corresponding to anomalously large beach erosion across the region. Shorelines in many areas retreated beyond previously measured landward extremes, particularly along the sediment-starved California coast.

  9. Enabling long-term oceanographic research: Changing data practices, information management strategies and informatics

    Science.gov (United States)

    Baker, Karen S.; Chandler, Cynthia L.

    2008-09-01

    Interdisciplinary global ocean science requires new ways of thinking about data and data management. With new data policies and growing technological capabilities, datasets of increasing variety and complexity are being made available digitally and data management is coming to be recognized as an integral part of scientific research. To meet the changing expectations of scientists collecting data and of data reuse by others, collaborative strategies involving diverse teams of information professionals are developing. These changes are stimulating the growth of information infrastructures that support multi-scale sampling, data repositories, and data integration. Two examples of oceanographic projects incorporating data management in partnership with science programs are discussed: the Palmer Station Long-Term Ecological Research program (Palmer LTER) and the United States Joint Global Ocean Flux Study (US JGOFS). Lessons learned from a decade of data management within these communities provide an experience base from which to develop information management strategies—short-term and long-term. Ocean Informatics provides one example of a conceptual framework for managing the complexities inherent to sharing oceanographic data. Elements are introduced that address the economies-of-scale and the complexities-of-scale pertinent to a broader vision of information management and scientific research.

  10. Oceanographic and surface meteorological data collected from station RECON Erie, Cleveland (CLV), by Great Lakes Environmental Research Laboratory and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2014-07-24 to 2017-08-31 (NODC Accession 0123652)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0123652 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  11. Oceanographic and surface meteorological data collected from University of Michigan Marine Hydrodynamics Laboratories Bio Buoy by University of Michigan and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2014-07-01 to 2017-08-31 (NODC Accession 0123645)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0123645 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  12. Oceanographic and surface meteorological data collected from University of Michigan Marine Hydrodynamics Laboratories Bio Buoy by University of Michigan and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2014-07-01 to 2017-08-31 (NCEI Accession 0123660)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0123660 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  13. Oceanographic and Biogeochemical Insights from Diatom Genomes

    Science.gov (United States)

    Bowler, Chris; Vardi, Assaf; Allen, Andrew E.

    2010-01-01

    Diatoms are the most successful group of eukaryotic phytoplankton in the modern ocean and have risen to dominance relatively quickly over the last 100 million years. Recently completed whole genome sequences from two species of diatom, Thalassiosira pseudonana and Phaeodactylum tricornutum, have revealed a wealth of information about the evolutionary origins and metabolic adaptations that have led to their ecological success. A major finding is that they have incorporated genes both from their endosymbiotic ancestors and by horizontal gene transfer from marine bacteria. This unique melting pot of genes encodes novel capacities for metabolic management, for example, allowing the integration of a urea cycle into a photosynthetic cell. In this review we show how genome-enabled approaches are being leveraged to explore major phenomena of oceanographic and biogeochemical relevance, such as nutrient assimilation and life histories in diatoms. We also discuss how diatoms may be affected by climate change-induced alterations in ocean processes.

  14. Extreme oceanographic forcing and coastal response due to the 2015–2016 El Niño

    Science.gov (United States)

    Barnard, Patrick; Hoover, Daniel J.; Hubbard, David M.; Snyder, Alexander; Ludka, Bonnie C.; Allan, Jonathan; Kaminsky, George M.; Ruggiero,; Gallien, Timu W.; Gabel, Laura; McCandless, Diana; Weiner, Heather M.; Cohn, Nicholas; Anderson, Dylan L.; Serafin, Katherine A.

    2017-01-01

    The El Niño-Southern Oscillation is the dominant mode of interannual climate variability across the Pacific Ocean basin, with influence on the global climate. The two end members of the cycle, El Niño and La Niña, force anomalous oceanographic conditions and coastal response along the Pacific margin, exposing many heavily populated regions to increased coastal flooding and erosion hazards. However, a quantitative record of coastal impacts is spatially limited and temporally restricted to only the most recent events. Here we report on the oceanographic forcing and coastal response of the 2015–2016 El Niño, one of the strongest of the last 145 years. We show that winter wave energy equalled or exceeded measured historical maxima across the US West Coast, corresponding to anomalously large beach erosion across the region. Shorelines in many areas retreated beyond previously measured landward extremes, particularly along the sediment-starved California coast.

  15. Factors Reducing Efficiency of the Operational Oceanographic Forecast Systems in the Arctic Basin

    Directory of Open Access Journals (Sweden)

    V.N. Belokopytov

    2017-04-01

    Full Text Available Reliability of the forecasted fields in the Arctic Basin is limited by a number of problems resulting, in the first turn, from lack of operational information. Due to the ice cover, satellite data on the sea level and the sea surface temperature is either completely not available or partially accessible in summer. The amount of CTD measuring systems functioning in the operational mode (3 – 5 probes is not sufficient. The number of the temperature-profiling buoys the probing depth of which is limited to 60 m, is not enough for the Arctic as well. Lack of spatial resolution of the available altimetry information (14 km, as compared to the Rossby radius in the Arctic Ocean (2 – 12 km, requires a thorough analysis of the forecasting system practical goals. The basic factor enhancing reliability of the oceanographic forecast consists in the fact that the key oceanographic regions, namely the eastern parts of the Norwegian and Greenland seas, the Barents Sea and the Chukchi Sea including the Bering Strait (where the Atlantic and Pacific waters flow in and transform, and the halocline structure is formed are partially or completely free of ice and significantly better provided with operational information.

  16. Impact of life history traits on gene flow: A multispecies systematic review across oceanographic barriers in the Mediterranean Sea

    KAUST Repository

    Pascual, Marta; Rives, Borja; Schunter, Celia Marei; Macpherson, Enrique

    2017-01-01

    . We assessed the relevance of seven major oceanographic fronts on species connectivity while considering their dispersal capacity and life strategy.We systematically reviewed the scientific articles reporting population genetic differentiation along

  17. The influence of spatially and temporally varying oceanographic conditions on meroplanktonic metapopulations

    Science.gov (United States)

    Botsford, L. W.; Moloney, C. L.; Hastings, A.; Largier, J. L.; Powell, T. M.; Higgins, K.; Quinn, J. F.

    We synthesize the results of several modelling studies that address the influence of variability in larval transport and survival on the dynamics of marine metapopulations distributed along a coast. Two important benthic invertebrates in the California Current System (CCS), the Dungeness crab and the red sea urchin, are used as examples of the way in which physical oceanographic conditions can influence stability, synchrony and persistence of meroplanktonic metapopulations. We first explore population dynamics of subpopulations and metapopulations. Even without environmental forcing, isolated local subpopulations with density-dependence can vary on time scales roughly twice the generation time at high adult survival, shifting to annual time scales at low survivals. The high frequency behavior is not seen in models of the Dungeness crab, because of their high adult survival rates. Metapopulations with density-dependent recruitment and deterministic larval dispersal fluctuate in an asynchronous fashion. Along the coast, abundance varies on spatial scales which increase with dispersal distance. Coastwide, synchronous, random environmental variability tends to synchronize these metapopulations. Climate change could cause a long-term increase or decrease in mean larval survival, which in this model leads to greater synchrony or extinction respectively. Spatially managed metapopulations of red sea urchins go extinct when distances between harvest refugia become greater than the scale of larval dispersal. All assessments of population dynamics indicate that metapopulation behavior in general dependes critically on the temporal and spatial nature of larval dispersal, which is largely determined by physical oceanographic conditions. We therfore explore physical influences on larval dispersal patterns. Observed trends in temperature and salinity applied to laboratory-determined responses indicate that natural variability in temperature and salinity can lead to variability in

  18. Habitat continuity and stepping-stone oceanographic distances explain population genetic connectivity of the brown alga Cystoseira amentacea.

    Science.gov (United States)

    Buonomo, Roberto; Assis, Jorge; Fernandes, Francisco; Engelen, Aschwin H; Airoldi, Laura; Serrão, Ester A

    2017-02-01

    Effective predictive and management approaches for species occurring in a metapopulation structure require good understanding of interpopulation connectivity. In this study, we ask whether population genetic structure of marine species with fragmented distributions can be predicted by stepping-stone oceanographic transport and habitat continuity, using as model an ecosystem-structuring brown alga, Cystoseira amentacea var. stricta. To answer this question, we analysed the genetic structure and estimated the connectivity of populations along discontinuous rocky habitat patches in southern Italy, using microsatellite markers at multiple scales. In addition, we modelled the effect of rocky habitat continuity and ocean circulation on gene flow by simulating Lagrangian particle dispersal based on ocean surface currents allowing multigenerational stepping-stone dynamics. Populations were highly differentiated, at scales from few metres up to thousands of kilometres. The best possible model fit to explain the genetic results combined current direction, rocky habitat extension and distance along the coast among rocky sites. We conclude that a combination of variable suitable habitat and oceanographic transport is a useful predictor of genetic structure. This relationship provides insight into the mechanisms of dispersal and the role of life-history traits. Our results highlight the importance of spatially explicit modelling of stepping-stone dynamics and oceanographic directional transport coupled with habitat suitability, to better describe and predict marine population structure and differentiation. This study also suggests the appropriate spatial scales for the conservation, restoration and management of species that are increasingly affected by habitat modifications. © 2016 John Wiley & Sons Ltd.

  19. Interpretation of the U.S.A. oceanographer sounding and radon data over the Arabian Sea during June 1967

    International Nuclear Information System (INIS)

    Rao, Y.P.; Desai, B.N.

    1974-01-01

    U.S.A. 'Oceanographer' sounding and radon data during June 1967 have been discussed with reference to the synoptic charts. During the period 14 to 21 June, there was above the surface layer of maritime air, less moist air with nearly saturation adiabatic lapse from the south Arabian Sea instead of the dry continental air from northeast Africa and Arabia. The 'Oceanographer' soundings compare well with those at Bombay, if one keeps in mind the effect of the Ghats for the latter location. The radon data show that there was presence of the maritime air from across the equator, which had got mixed to some extent with continental air from northeast Africa and Arabia; the high radon values off Saurashtra-Konkan were not due to vertical mixing of the lower maritime air with the upper continental air (author)

  20. Interpretation of the U.S.A. oceanographer sounding and radon data over the Arabian Sea during June 1967

    International Nuclear Information System (INIS)

    Rao, Y.P.; Desai, B.N.

    1974-01-01

    U.S.A. 'Oceanographer' sounding and radon data during June 1967 have been discussed with reference to the synoptic charts. During the period 14 to 21 June, there was above the surface layer of maritime air, less moist air with nearly saturation adiabatic lapse from the south Arabian Sea instead of the dry continental air from northeast Africa and Arabia. The 'Oceanographer' soundings compare well with those at Bombay, if one keeps in mind the effect of the Ghats for the latter location. The radon data show that there was presence of the maritime air from across the equator, which had got mixed to some extent with continental air from northeast Africa and Arabia; the high radon values off Saurashtra-Konkan were not due to vertical mixing of the lower maritime air with the upper continental air. (author)

  1. Hydrographic Data from the U.S. Naval Oceanographic Office: Persian Gulf, Southern Red Sea, and Arabian Sea 1923-1996

    National Research Council Canada - National Science Library

    Alessi, Carrol

    1999-01-01

    Temperature-salinity-depth profile data were obtained for the Persian Gulf, Southern Red Sea and parts of the Arabian Sea from the Master Oceanographic Observations Data Set (MOODS), located at the U.S...

  2. Early Student Support for Application of Advanced Multi-Core Processor Technologies to Oceanographic Research

    Science.gov (United States)

    2016-05-07

    REPORT DOCUMENTATION PAGE I . ... ... .. . ,...,.., ............. OMB No. 0704-0188 The public reporting burden for this collection of...Student Support for Appl ication of Advanced Multi- Core Processor N00014-12-1-0298 Technologies to Oceanographic Research Sb. GRANT NUMBER Sc...communications protocols (i.e. UART, I2C, and SPI), through the , ’ . handing off of the data to the server APis. By providing a common set of tools

  3. Overview of oceanographic research in JAEA-RGES

    International Nuclear Information System (INIS)

    Otosaka, Shigeyoshi

    2010-01-01

    Oceanographic research activities conducted by JAEA-RGES were described. The activities consist of two parts: a multi-year research project in the Japan Sea and the most recent research in the region Off-Rokkasho, Aomori, Japan. A series of expeditions in the Japan Sea has revealed horizontal and vertical distributions of artificial radionuclides. In addition, radiocarbon measurements of seawater have enabled us to understand general seawater circulation as well as transport processes of dissolved radionuclides in the sea. In the region Off-Rokkasho, where a reprocessing plant of spent nuclear fuel is located, site specific values for radionuclide migration model have been obtained. Special attention was paid to characteristics of particles in water, some of which contribute to the vertical transport of radionuclides via sinking process. It was suggested that concentrations of particulate materials are controlled not only by primary production but also by supplies of terrestrial materials. From this result, we concluded that the land-sea interaction would play an important role in the radionuclide behavior in coastal areas. (author)

  4. Summary of oceanographic and water-quality measurements in Rachel Carson National Wildlife Refuge, Wells, Maine, in 2013

    Science.gov (United States)

    Montgomery, Ellyn T.; Ganju, Neil K.; Dickhudt, Patrick J.; Borden, Jonathan; Martini, Marinna A.; Brosnahan, Sandra M.

    2015-01-01

    Suspended-sediment transport is a critical element controlling the geomorphology of tidal wetland complexes. Wetlands rely on organic material and inorganic sediment deposition to maintain their elevation relative to sea level. The U.S. Geological Survey performed observational deployments to measure suspended-sediment concentration and water flow rates in the tidal channels of the wetlands in the Rachel Carson National Wildlife Refuge in Wells, Maine. The objective was to characterize the sediment-transport mechanisms that contribute to the net sediment budget of the wetland complex. We deployed a meteorological tower, optical turbidity sensors, and acoustic velocity meters at sites on Stephens Brook and the Ogunquit River between March 27 and December 9, 2013. This report presents the time-series oceanographic and atmospheric data collected during those field studies. The oceanographic parameters include water velocity, depth, turbidity, salinity, temperature, and pH. The atmospheric parameters include wind direction, speed, and gust; air temperature; air pressure; relative humidity; short wave radiation; and photosynthetically active radiation.

  5. Larval fish variability in response to oceanographic features in a nearshore nursery area.

    Science.gov (United States)

    Pattrick, P; Strydom, N A

    2014-09-01

    The influence of oceanographic features on ichthyoplankton assemblages in the warm temperate nearshore region of Algoa Bay, South Africa, was assessed. The nearshore ichthyoplankton comprised 88 taxa from 34 families. Samples were collected at six stations between August 2010 and July 2012 using a plankton ring net of 750 mm diameter and 500 µm mesh aperture. The majority of larvae collected were in a preflexion stage, indicating the potential importance of the nearshore for newly hatched larvae. Engraulidae dominated the catch (38·4%), followed by Cynoglossidae (28·1%) and Sparidae (8·4%). Larval fish abundance was highest during austral spring and summer (September to February). Unique patterns in responses of each dominant fish species to oceanographic features in the nearshore indicate the sensitivity of the early developmental stage to environmental variables. Using generalized linear models, ichthyoplankton abundance responded positively to upwelling and when warm water plumes originating from an Agulhas Current meander entered Algoa Bay. Highest abundances of Engraulis encrasicolus and Sardinops sagax were observed during Agulhas Plume intrusions into Algoa Bay. When a mixed and stratified water column persisted in the nearshore region of Algoa Bay, larval fish abundance decreased. The nearshore region of Algoa Bay appears to serve as a favourable environment for the accumulation of ichthyoplankton. © 2014 The Fisheries Society of the British Isles.

  6. Oceanographic temperature and salinity measurements collected using drifting buoys in the Arctic Ocean from 2003 to 2006 (NODC Accession 0014672)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Oceanographic temperature and salinity measurements collected using drifting buoys in the Arctic Ocean. Data from JAMSTEC drifting buoys which were deployed both as...

  7. Toward an extended-geostrophic Euler-Poincare model for mesoscale oceanographic flow

    Energy Technology Data Exchange (ETDEWEB)

    Allen, J.S.; Newberger, P.A. [Oregon State Univ., Corvallis, OR (United States). Coll. of Oceanic and Atmospheric Sciences; Holm, D.D. [Los Alamos National Lab., NM (United States)

    1998-07-01

    The authors consider the motion of a rotating, continuously stratified fluid governed by the hydrostatic primitive equations (PE). An approximate Hamiltonian (L1) model for small Rossby number {var_epsilon} is derived for application to mesoscale oceanographic flow problems. Numerical experiments involving a baroclinically unstable oceanic jet are utilized to assess the accuracy of the L1 model compared to the PE and to other approximate models, such as the quasigeostrophic (QG) and the geostrophic momentum (GM) equations. The results of the numerical experiments for moderate Rossby number flow show that the L1 model gives accurate solutions with errors substantially smaller than QG or GM.

  8. Spawning of the chilean hake (Merluccius gayi in the upwelling system off Talcahuano in relation to oceanographic features

    Directory of Open Access Journals (Sweden)

    Cristian A. Vargas

    2001-06-01

    Full Text Available Previous studies have shown that the upwelling area off Talcahuano, in central-south Chile, is an important spawning zone for the hake Merluccius gayi. We document the results of a study designed to assess the importance of oceanographic features on the horizontal and vertical distribution of hake eggs and larvae. Ichthyoplankton samples and oceanographic data (CTDO casts, and wind speed and direction were collected during a cruise carried out off Talcahuano (36º22´S-37º10´S in early spring (October 1996, which included a grid of 61 stations up to 60 nm offshore. The oceanographic information obtained revealed the presence of an upwelling plume at Lavapie Point (southern zone extending northward over the shelf, and the presence of a warmer water parcel close to shore in the northern area. Peak egg densities occurred in this northern area over the shelf, in a nucleus located at the shoreward moving deeper layer (40-100 m deep and associated with the upwelling front about 20-30 nm from shore. The highest larval abundance also occurred in the northern area over the shelf and in the deeper layer but closer to shore than the egg nucleus. Because the timing (early spring and location of spawning (at depth, over the shelf and in association with frontal structures are also shared by other hake species in upwelling areas, we propose that they may be part of a more commonly developed strategy to enhance offspring survival in coastal upwelling areas of eastern boundary currents.

  9. Combining soundscape analysis with in situ observations and oceanographic data for future ecosystem evaluation techniques.

    Science.gov (United States)

    Freeman, S. E.; Freeman, L. A.

    2016-02-01

    Coral reef ecosystems face many anthropogenic threats. There are urgent requirements for improved monitoring and management. Conventional assessment methods using SCUBA are costly and prone to bias and under-sampling. Here, three approaches to understanding coral reef ecology are combined to aid the goal of enhanced passive monitoring in the future: statistical analysis of oceanographic habitats, remote cameras for nocturnal surveys of benthic fauna, and soundscape analysis in the context of oceanographic setting and ecological metrics collected in-situ. Hawaiian reefs from Kure Atoll to the island of Hawaii, an area spanning two oceanographic habitats, are assessed. Multivariate analysis of acoustic, remote camera, and in-situ observational data showed significant differences in more than 20 percent of ecological and acoustic variables when grouped by oceanic regime, suggesting that large-scale oceanography substantially influences local ecological states and associated soundscapes. Acoustic variables further delineated sites by island, suggesting local conditions influence the soundscape to a greater degree. While the number of invertebrates (with an emphasis on crustaceans and echinoderms) imaged using remote cameras correlated with a number of acoustic metrics, an increasingly higher correlation between invertebrate density and spectral level was observed as acoustic bands increased in frequency from 2 to 20 kHz. In turn, correlation was also observed between the number of predatory fish and sound levels above 2 kHz, suggesting a connection between the number of invertebrates, sound levels at higher frequencies, and the presence of their predators. Comparisons between sound recordings and diversity indices calculated from observational and remote camera data indicate that greater diversity in fishes and benthic invertebrates is associated with a larger change in sound levels between day and night. Interdisciplinary analyses provide a novel view to underwater

  10. New Navigation Post-Processing Tools for Oceanographic Submersibles

    Science.gov (United States)

    Kinsey, J. C.; Whitcomb, L. L.; Yoerger, D. R.; Howland, J. C.; Ferrini, V. L.; Hegrenas, O.

    2006-12-01

    We report the development of Navproc, a new set of software tools for post-processing oceanographic submersible navigation data that exploits previously reported improvements in navigation sensing and estimation (e.g. Eos Trans. AGU, 84(46), Fall Meet. Suppl., Abstract OS32A- 0225, 2003). The development of these tools is motivated by the need to have post-processing software that allows users to compensate for errors in vehicle navigation, recompute the vehicle position, and then save the results for use with quantitative science data (e.g. bathymetric sonar data) obtained during the mission. Navproc does not provide real-time navigation or display of data nor is it capable of high-resolution, three dimensional (3D) data display. Navproc supports the ASCII data formats employed by the vehicles of the National Deep Submergence Facility (NDSF) operated by the Woods Hole Oceanographic Institution (WHOI). Post-processing of navigation data with Navproc is comprised of three tasks. First, data is converted from the logged ASCII file to a binary Matlab file. When loaded into Matlab, each sensor has a data structure containing the time stamped data sampled at the native update rate of the sensor. An additional structure contains the real-time vehicle navigation data. Second, the data can be displayed using a Graphical User Interface (GUI), allowing users to visually inspect the quality of the data and graphically extract portions of the data. Third, users can compensate for errors in the real-time vehicle navigation. Corrections include: (i) manual filtering and median filtering of long baseline (LBL) ranges; (ii) estimation of the Doppler/gyro alignment using previously reported methodologies; and (iii) sound velocity, tide, and LBL transponder corrections. Using these corrections, the Doppler and LBL positions can be recomputed to provide improved estimates of the vehicle position compared to those computed in real-time. The data can be saved in either binary or ASCII

  11. ICON - Port Everglades 2014 Meteorological Observations (NCEI Accession 0137094)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  12. ICON - Port Everglades 2013 Meteorological Observations (NODC Accession 0124002)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  13. ICON - Port Everglades 2015 Meteorological Observations (NCEI Accession 0156578)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  14. ICON - Port Everglades 2012 Meteorological Observations (NODC Accession 0117727)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  15. Modern Technologies aspects for Oceanographic Data Management and Dissemination : The HNODC Implementation

    Science.gov (United States)

    Lykiardopoulos, A.; Iona, A.; Lakes, V.; Batis, A.; Balopoulos, E.

    2009-04-01

    The development of new technologies for the aim of enhancing Web Applications with Dynamically data access was the starting point for Geospatial Web Applications to developed at the same time as well. By the means of these technologies the Web Applications embed the capability of presenting Geographical representations of the Geo Information. The induction in nowadays, of the state of the art technologies known as Web Services, enforce the Web Applications to have interoperability among them i.e. to be able to process requests from each other via a network. In particular throughout the Oceanographic Community, modern Geographical Information systems based on Geospatial Web Services are now developed or will be developed shortly in the near future, with capabilities of managing the information itself fully through Web Based Geographical Interfaces. The exploitation of HNODC Data Base, through a Web Based Application enhanced with Web Services by the use of open source tolls may be consider as an ideal case of such implementation. Hellenic National Oceanographic Data Center (HNODC) as a National Public Oceanographic Data provider and at the same time a member of the International Net of Oceanographic Data Centers( IOC/IODE), owns a very big volume of Data and Relevant information about the Marine Ecosystem. For the efficient management and exploitation of these Data, a relational Data Base has been constructed with a storage of over 300.000 station data concerning, physical, chemical and biological Oceanographic information. The development of a modern Web Application for the End User worldwide to be able to explore and navigate throughout HNODC data via the use of an interface with the capability of presenting Geographical representations of the Geo Information, is today a fact. The application is constituted with State of the art software components and tools such as: • Geospatial and no Spatial Web Services mechanisms • Geospatial open source tools for the

  16. Oceanographic Survey in Support of Fishing off the Coast of Portugal; 30 April 1971 to 23 May 1971 (NODC Accession 7400401)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Oceanographic Survey in Support of Fishing off the Coast of Portugal (CAPEC) consists of several cruises to obtain, systemically, physical, chemical and...

  17. Oceanographic Survey in Support of Fishing off the Coast of Portugal; 19 July 1971 to 06 August 1971 (NODC Accession 7400378)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Oceanographic Survey in Support of Fishing off the Coast of Portugal (CAPEC) consists of several cruises to obtain, systemically, physical, chemical and...

  18. Using STOQS to Understand Molecular Biology and Oceanographic Data

    Science.gov (United States)

    McCann, M. P.; Ryan, J. P.; Messié, M.; Harvey, J.; Cline, D.; Michisaki, R.

    2014-12-01

    Advances in technology enable us to collect massive amounts of diverse data. With the ability to collect more data, the problem of comparative analysis becomes increasing difficult. The Monterey Bay Aquarium Research Institute (MBARI) designed the Spatial Temporal Oceanographic Query System (STOQS) to create new capabilities for scientists to gain insight from data collected by oceanographic platforms. STOQS uses a geospatial database and a web-based user interface (UI) to allow scientists to explore large collections of data. The UI is optimized to provide a quick overview of data in spatial and temporal dimensions, as well as in parameter and platform space. A user may zoom into a feature of interest and select it, initiating a filter operation updating the UI with an overview of all the data in the new filtered selection. When details are desired, radio buttons and check boxes can be selected to generate a number of different types of visualizations. These include color-filled temporal section plots, parameter-parameter plots, and both 2D and 3D spatial visualizations. The ISO/IEC 19775-1, Extensible 3D (X3D) standard provides the technology for presenting 3D data in a web browser. STOQS has been in use at MBARI for four years and is helping us manage and visualize data from month-long multi-platform observational campaigns. These campaigns produce tens of millions of diverse measurements. These volumes are too great to really understand - even with an effective data exploration UI. Effective management of these diverse data in STOQS is achieved through a two-step harmonization process: 1) conversion of all data to OGC CF-NetCDF Discrete Sampling Geometry feature types and 2) loading all data into the STOQS data model. Having all of the data easily accessible via this data model made development of the UI possible. This same method of access is also being used for development of visualization and analysis programs for tasks that cannot be executed within the UI

  19. Legacy2Drupal - Conversion of an existing oceanographic relational database to a semantically enabled Drupal content management system

    Science.gov (United States)

    Maffei, A. R.; Chandler, C. L.; Work, T.; Allen, J.; Groman, R. C.; Fox, P. A.

    2009-12-01

    Content Management Systems (CMSs) provide powerful features that can be of use to oceanographic (and other geo-science) data managers. However, in many instances, geo-science data management offices have previously designed customized schemas for their metadata. The WHOI Ocean Informatics initiative and the NSF funded Biological Chemical and Biological Data Management Office (BCO-DMO) have jointly sponsored a project to port an existing, relational database containing oceanographic metadata, along with an existing interface coded in Cold Fusion middleware, to a Drupal6 Content Management System. The goal was to translate all the existing database tables, input forms, website reports, and other features present in the existing system to employ Drupal CMS features. The replacement features include Drupal content types, CCK node-reference fields, themes, RDB, SPARQL, workflow, and a number of other supporting modules. Strategic use of some Drupal6 CMS features enables three separate but complementary interfaces that provide access to oceanographic research metadata via the MySQL database: 1) a Drupal6-powered front-end; 2) a standard SQL port (used to provide a Mapserver interface to the metadata and data; and 3) a SPARQL port (feeding a new faceted search capability being developed). Future plans include the creation of science ontologies, by scientist/technologist teams, that will drive semantically-enabled faceted search capabilities planned for the site. Incorporation of semantic technologies included in the future Drupal 7 core release is also anticipated. Using a public domain CMS as opposed to proprietary middleware, and taking advantage of the many features of Drupal 6 that are designed to support semantically-enabled interfaces will help prepare the BCO-DMO database for interoperability with other ecosystem databases.

  20. Health and Safety Laboratory environmental quarterly, September 1, 1976--December 1, 1976. [Monitoring of environment for radioactivity and chemical pollution

    Energy Technology Data Exchange (ETDEWEB)

    Hardy, E.P. Jr.

    1977-01-01

    This report presents current data from the HASL environmental programs, The Swedish Defense Research Establishment, The Woods Hole Oceanographic Institution, Argonne National Laboratory and The New Zealand National Radiation Laboratory. The initial section consists of interpretive reports and notes on ground level air radioactivity in Sweden from nuclear explosions, plutonium in air near the Rocky Flats Plant, nitrous oxide concentrations in the stratosphere, lake sediment sampling, plutonium and americium in marine and fresh water biological systems, radium in cat litter, and quality control analyses. Subsequent sections include tabulations of radionuclide and stable lead concentrations in surface air; strontium-90 in deposition, milk, diet, and tapwater; cesium-137 in Chicago foods in October 1976 and environmental radioactivity measurements in New Zealand in 1975. A bibliography of recent publications related to environmental studies is also presented.

  1. MyOSD 2014: Evaluating Oceanographic Measurements Contributed by Citizen Scientists in Support of Ocean Sampling Day

    Directory of Open Access Journals (Sweden)

    Julia Schnetzer

    2015-11-01

    Full Text Available The first Ocean Sampling Day (OSD took place on June 21, 2014. In a coordinated effort, an internationally distributed group of scientists collected samples from marine surface waters in order to study microbial diversity on a single day with global granularity. Concurrently, citizen scientists enriched the OSD initiative through the MyOSD project, providing additional oceanographic measurements crucial to the contextualization of microbial diversity. Clear protocols, a user-friendly smartphone application, and an online web-form guided citizens in accurate data acquisition, promoting quality submissions to the project’s information system. To evaluate the coverage and quality of MyOSD data submissions, we compared the sea surface temperature measurements acquired through OSD, MyOSD, and automatic in situ systems and satellite measurements. Our results show that the quality of citizen-science measurements was comparable to that of scientific measurements. As 79% of MyOSD measurements were conducted in geographic areas not covered by automatic in situ or satellite measurement, citizen scientists contributed significantly to worldwide oceanographic data gathering. Furthermore, survey results indicate that participation in MyOSD made citizens feel more engaged in ocean issues and may have increased their environmental awareness and ocean literacy.

  2. Oceanographic and surface meteorological data collected from station Perdido Pass, AL by Dauphin Island Sea Laboratory (DISL) and assembled by Gulf of Mexico Coastal Ocean Observing System (GCOOS) in the Coastal waters of Alabama and Gulf of Mexico from 2011-11-07 to 2017-04-30 (NCEI Accession 0163767)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0163767 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  3. Oceanographic and surface meteorological data collected from station Bon Secour, LA by Dauphin Island Sea Laboratory (DISL) and assembled by Gulf of Mexico Coastal Ocean Observing System (GCOOS) in the Coastal waters of Alabama and Gulf of Mexico from 2011-01-01 to 2017-05-02 (NCEI Accession 0163204)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0163204 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  4. Oceanographic and surface meteorological data collected from station Katrina Cut, AL by Dauphin Island Sea Laboratory (DISL) and assembled by Gulf of Mexico Coastal Ocean Observing System (GCOOS) in the Coastal waters of Alabama and Gulf of Mexico from 2011-04-15 to 2017-05-04 (NCEI Accession 0163673)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0163673 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  5. Oceanographic and surface meteorological data collected from RECON Alpena, Thunder Bay Buoy, by Great Lakes Environmental Research Laboratory and assembled by Great Lakes Observing System (GLOS) in the Great Lakes and Thunder Bay National Marine Sanctuary region from 2016-05-19 to 2017-08-31 (NCEI Accession 0137891)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0137891 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  6. Oceanographic and surface meteorological data collected from station Dauphin Island, AL by Dauphin Island Sea Laboratory (DISL) and assembled by Gulf of Mexico Coastal Ocean Observing System (GCOOS) in the Coastal waters of Alabama and Gulf of Mexico from 2008-01-01 to 2017-04-30 (NCEI Accession 0163672)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0163672 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  7. Oceanographic profile beam attenuation coefficient measurements collected from multiple platforms in the Global Ocean from 1984 to 2003 (NODC Accession 0012521)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Worldwide Ocean Optic Database, available online at wood.jhuapl.edu, has grown to be the most comprehensive publicly-available oceanographic bio-optical database...

  8. The oceanographic and radiological basis for the definition of high-level wastes unsuitable for dumping at sea

    International Nuclear Information System (INIS)

    1984-01-01

    The document has taken two of the models recommended in the Group of Experts on the Scientific Aspects of Marine Pollution (GESAMP) Report in 1983 and applied them to the purpose of setting dumping rate limits into an ocean basin. This guide details the assumptions underlying oceanographic model selection, analytic solutions to the models and the radiological basis used

  9. Legacy2Drupal: Conversion of an existing relational oceanographic database to a Drupal 7 CMS

    Science.gov (United States)

    Work, T. T.; Maffei, A. R.; Chandler, C. L.; Groman, R. C.

    2011-12-01

    Content Management Systems (CMSs) such as Drupal provide powerful features that can be of use to oceanographic (and other geo-science) data managers. However, in many instances, geo-science data management offices have already designed and implemented customized schemas for their metadata. The NSF funded Biological Chemical and Biological Data Management Office (BCO-DMO) has ported an existing relational database containing oceanographic metadata, along with an existing interface coded in Cold Fusion middleware, to a Drupal 7 Content Management System. This is an update on an effort described as a proof-of-concept in poster IN21B-1051, presented at AGU2009. The BCO-DMO project has translated all the existing database tables, input forms, website reports, and other features present in the existing system into Drupal CMS features. The replacement features are made possible by the use of Drupal content types, CCK node-reference fields, a custom theme, and a number of other supporting modules. This presentation describes the process used to migrate content in the original BCO-DMO metadata database to Drupal 7, some problems encountered during migration, and the modules used to migrate the content successfully. Strategic use of Drupal 7 CMS features that enable three separate but complementary interfaces to provide access to oceanographic research metadata will also be covered: 1) a Drupal 7-powered user front-end; 2) REST-ful JSON web services (providing a Mapserver interface to the metadata and data; and 3) a SPARQL interface to a semantic representation of the repository metadata (this feeding a new faceted search capability currently under development). The existing BCO-DMO ontology, developed in collaboration with Rensselaer Polytechnic Institute's Tetherless World Constellation, makes strategic use of pre-existing ontologies and will be used to drive semantically-enabled faceted search capabilities planned for the site. At this point, the use of semantic

  10. SCSPOD14, a South China Sea physical oceanographic dataset derived from in situ measurements during 1919–2014

    Science.gov (United States)

    Zeng, Lili; Wang, Dongxiao; Chen, Ju; Wang, Weiqiang; Chen, Rongyu

    2016-01-01

    In addition to the oceanographic data available for the South China Sea (SCS) from the World Ocean Database (WOD) and Array for Real-time Geostrophic Oceanography (Argo) floats, a suite of observations has been made by the South China Sea Institute of Oceanology (SCSIO) starting from the 1970s. Here, we assemble a SCS Physical Oceanographic Dataset (SCSPOD14) based on 51,392 validated temperature and salinity profiles collected from these three datasets for the period 1919–2014. A gridded dataset of climatological monthly mean temperature, salinity, and mixed and isothermal layer depth derived from an objective analysis of profiles is also presented. Comparisons with the World Ocean Atlas (WOA) and IFREMER/LOS Mixed Layer Depth Climatology confirm the reliability of the new dataset. This unique dataset offers an invaluable baseline perspective on the thermodynamic processes, spatial and temporal variability of water masses, and basin-scale and mesoscale oceanic structures in the SCS. We anticipate improvements and regular updates to this product as more observations become available from existing and future in situ networks. PMID:27116565

  11. Phytoplankton oceanographic characterization during El Niño 2004 event in the Northwest region of Baja California, Mexico

    Directory of Open Access Journals (Sweden)

    Miranda-Alvarez, A. C.

    2016-09-01

    Full Text Available An oceanographic cruise in front of the Coast of Baja California was carried from the 9th to the 29th day of July in 2004, in 91 stations at 10 m depth. The aim of this study was to identify the variability of phytoplankton and its oceanographic characterization in the coast-ocean region during an anomalous year with El Niño characteristics. Results showed a taxonomic composition of 21 phytoplankton genera in an interval size called nano-microphytoplankton: Gymnodinium, Scrippsiella, Ceratium, Coscinodiscus, Oxytoxum, Gyrodinium, Protoperidinium, Nitzschia, Gonyaulax. On the other hand, spatial distribution of light absorption coefficient for phytoplankton (aph440 and chlorophyll-a (Chl-a concentration showed high values in front of the San Quintin coast and south of Punta Eugenia, detecting a clear decrease towards the oceanic zone. In regard to the taxonomic composition of phytoplankton, a dominance of dinoflagellates in contrast to diatoms was observed, results coinciding with the basic characteristics of phytoplankton ecology during an El Niño event.

  12. Oceanographic profile temperature, salinity, oxygen measurements collected using bottle from multiple platforms in the Azov, Black Seas from 1924-1990 (NODC Accession 0002717)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Oceanographic profile temperature, salinity, oxygen measurements collected using bottle from multiple platforms in the Azov, Black Seas from 1924-1990

  13. Oceanographic and surface meteorological data collected from station Middle Bay Light, AL by Dauphin Island Sea Laboratory (DISL) and assembled by Gulf of Mexico Coastal Ocean Observing System (GCOOS) in the Coastal waters of Alabama and Gulf of Mexico from 2008-01-01 to 2017-05-03 (NCEI Accession 0163754)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0163754 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  14. Historical oceanographic data and climatologies in support of the Deepwater Horizon oil spill event in the Gulf of Mexico (NODC Accession 0064867)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Data products and in situ oceanographic data collected as part of the Deepwater Horizon Event in the Gulf of Mexico (May 2010). The climatological fields detailed...

  15. Oceanographic profile Temperature, Salinity, and pressure measurements collected using profiling floats in the World Ocean from 1950 to 2006 (NODC Accession 0010599)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

  16. Linking foraging behaviour to physical oceanographic structures: Southern elephant seals and mesoscale eddies east of Kerguelen Islands

    Science.gov (United States)

    Dragon, Anne-Cecile; Monestiez, P.; Bar-Hen, A.; Guinet, C.

    2010-10-01

    In the Southern Ocean, mesoscale features, such as fronts and eddies, have been shown to have a significant impact in structuring and enhancing primary productivity. They are therefore likely to influence the spatial structure of prey fields and play a key role in the creation of preferred foraging regions for oceanic top-predators. Optimal foraging theory predicts that predators should adjust their movement behaviour in relation to prey density. While crossing areas with sufficient prey density, we expect predators would change their behaviour by, for instance, decreasing their speed and increasing their turning frequency. Diving predators would as well increase the useful part of their dive i.e. increase bottom-time thereby increasing the fraction of time spent capturing prey. Southern elephant seals from the Kerguelen population have several foraging areas: in Antarctic waters, on the Kerguelen Plateau and in the interfrontal zone between the Subtropical and Polar Fronts. This study investigated how the movement and diving behaviour of 22 seals equipped with satellite-relayed data loggers changed in relation to mesoscale structures typical of the interfrontal zone. We studied the links between oceanographic variables including temperature and sea level anomalies, and diving and movement behaviour such as displacement speed, diving duration and bottom-time. Correlation coefficients between each of the time series were calculated and their significance tested with a parametric bootstrap. We focused on oceanographic changes, both temporal and spatial, occurring during behavioural transitions in order to clarify the connections between the behaviour and the marine environment of the animals. We showed that a majority of seals displayed a specific foraging behaviour related to the presence of both cyclonic and anticyclonic eddies. We characterized mesoscale oceanographic zones as either favourable or unfavourable based on the intensity of foraging activity as

  17. An observing system for the collection of fishery and oceanographic data

    Directory of Open Access Journals (Sweden)

    P. Falco

    2007-05-01

    Full Text Available Fishery Observing System (FOS was developed as a first and basic step towards fish stock abundance nowcasting/forecasting within the framework of the EU research program Mediterranean Forecasting System: Toward an Environmental Prediction (MFSTEP. The study of the relationship between abundance and environmental parameters also represents a crucial point towards forecasting. Eight fishing vessels were progressively equipped with FOS instrumentation to collect fishery and oceanographic data. The vessels belonged to different harbours of the Central and Northern Adriatic Sea. For this pilot application, anchovy (Engraulis encrasicolus, L. was chosen as the target species. Geo-referenced catch data, associated with in-situ temperature and depth, were the FOS products but other parameters were associated with catch data as well. MFSTEP numerical circulation models provide many of these data. In particular, salinity was extracted from re-analysis data of numerical circulation models. Satellite-derived sea surface temperature (SST and chlorophyll were also used as independent variables. Catch and effort data were used to estimate an abundance index (CPUE – Catch per Unit of Effort. Considering that catch records were gathered by different fishing vessels with different technical characteristics and operating on different fish densities, a standardized value of CPUE was calculated. A spatial and temporal average CPUE map was obtained together with a monthly mean time series in order to characterise the variability of anchovy abundance during the period of observation (October 2003–August 2005. In order to study the relationship between abundance and oceanographic parameters, Generalized Additive Models (GAM were used. Preliminary results revealed a complex scenario: the southern sector of the domain is characterised by a stronger relationship than the central and northern sector where the interactions between the environment and the anchovy

  18. Effects of oceanographic factors on spatial distribution of Whale Shark in Cendrawasih Bay National Park, West Papua

    Science.gov (United States)

    Ranintyari, Maulida; Sunarto; Syamsuddin, Mega L.; Astuty, Sri

    2018-05-01

    Whale sharks are a leading species in Cendrawasih Bay due to its benign nature and its regular appearance. Recently, whale sharks are vulnerable to scarcity and even extinction. One of the efforts to maintain the existence of the whale shark population is by knowing its spatial distribution. This study aims to analyze how the oceanographic factors affect the spatial distribution of whale sharks in Cendrawasih Bay National Park. The method used in this research is descriptive with the quantitative approach using the Generalized Additive Model (GAM) analysis. The data consisted of the whale shark monitoring data in TNTC taken by WWF-Indonesia, and image data of sea surface temperature (SST) and chlorophyll-a concentration of Aqua-MODIS, and also sea surface current from Aviso. Analyses were conducted for the period of January 2012 until March 2015. The GAM result indicated that sea surface current was better than the other environment (SST and chlorophyll-a concentration) as an oceanographic predictor of whale shark appearance. High probabilities of the whale shark’s to appear on the surface were observed in sea surface current velocities between 0.30-0.60 m/s, for SST ranged from 30.50-31.80 °C, and for chlorophyll-a concentration ranged from 0.20-0.40 mg/m3.

  19. IOC-UNEP review meeting on oceanographic processes of transport and distribution of pollutants in the sea

    International Nuclear Information System (INIS)

    1991-01-01

    The IOC-UNEP Review Meeting on Oceanographic Processes of Transfer and Distribution of Pollutants in the Sea was opened at the Ruder Boskovic Institute, Zagreb, Yugoslavia on Monday, 15 May 1989. Papers presented at the meeting dealt with physical and geochemical processes in sea-water and sediment in transport mixing and dispersal of pollutants. The importance of mesoscale eddies and gyres in the open sea, wind-driven currents and upwelling events in the coastal zone, and thermohaline processes in semi-enclosed bays and estuaries was recognized. There is strong evidence that non-local forcing can drive circulation in the coastal area. Concentrations, horizontal and vertical distributions and transport of pollutants were investigated and presented for a number of coastal areas. Riverine and atmospheric inputs of different pollutants to the western Mediterranean were discussed. Reports on two on-going nationally/internationally co-ordinated projects (MEDMODEL, EROS 2000) were presented. Discussions during the meeting enabled an exchange of ideas between specialists in different disciplines to be made. It is expected that this will promote the future interdisciplinary approach in this field. The meeting recognized the importance of physical oceanographic studies in investigating the transfer and distribution of pollutants in the sea and in view of the importance of the interdisciplinary approach and bilateral and/or multilateral co-operation a number of recommendations were adopted

  20. Numerical implementation and oceanographic application of the Gibbs potential of ice

    Directory of Open Access Journals (Sweden)

    R. Feistel

    2005-01-01

    Full Text Available The 2004 Gibbs thermodynamic potential function of naturally abundant water ice is based on much more experimental data than its predecessors, is therefore significantly more accurate and reliable, and for the first time describes the entire temperature and pressure range of existence of this ice phase. It is expressed in the ITS-90 temperature scale and is consistent with the current scientific pure water standard, IAPWS-95, and the 2003 Gibbs potential of seawater. The combination of these formulations provides sublimation pressures, freezing points, and sea ice properties covering the parameter ranges of oceanographic interest. This paper provides source code examples in Visual Basic, Fortran and C++ for the computation of the Gibbs function of ice and its partial derivatives. It reports the most important related thermodynamic equations for ice and sea ice properties.

  1. Post-Glacial Development of Western North Atlantic - Labrador Sea Oceanographic Circulation

    DEFF Research Database (Denmark)

    Sheldon, Christina

    2015-01-01

    The subpolar North Atlantic Ocean – Labrador Sea region is an important site for both oceanographic and atmospheric circulation. The convergence of ocean currents causes downwelling of cold, saline water in the subpolar gyre, helping to drive the world-wide thermohaline circulation system. The main......, the subpolar gyre weakened, which carried less Gulf Stream-derived water to the western North Atlantic Ocean via the West Greenland Current and the Slopewater Current, south of Newfoundland. Changes in the subpolar gyre circulation had developed to be analogous to the modern climate by approximately 2 cal kyr...... surface currents involved in the gyre are the south-flowing, cold and relatively fresh Labrador Current and the north-flowing, warm and relatively saline Gulf Stream. The oceanic front between these two major currents moves north and south, dependent on the relative strengths of the currents, impacting...

  2. Oceanographic profile temperature, salinity and fluorescence measurements collected using CTD from HERMANO GINES in the Caribbean Sea from 1995 to 1998 (NODC Accession 0041163)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — These are oceanographic cruises carried between 1995 and 1998 on board the B/O Hermano Gines (Call Sign YYV2502; built 06.1995; IMO9113185) collecting temperature,...

  3. Technical Note: Animal-borne CTD-Satellite Relay Data Loggers for real-time oceanographic data collection

    Directory of Open Access Journals (Sweden)

    L. Boehme

    2009-12-01

    Full Text Available The increasing need for continuous monitoring of the world oceans has stimulated the development of a range of autonomous sampling platforms. One novel addition to these approaches is a small, relatively inexpensive data-relaying device that can be deployed on marine mammals to provide vertical oceanographic profiles throughout the upper 2000 m of the water column. When an animal dives, the CTD-Satellite Relay Data Logger (CTD-SRDL records vertical profiles of temperature, conductivity and pressure. Data are compressed once the animal returns to the surface where it is located by, and relays data to, the Argos satellite system. The technical challenges met in the design of the CTD-SRDL are the maximising of energy efficiency and minimising size, whilst simultaneously maintaining the reliability of an instrument that cannot be recovered and is required to survive its lifetime attached to a marine mammal. The CTD-SRDLs record temperature and salinity with an accuracy of better than 0.005 °C and 0.02 respectively. However, due to the limited availability of reference data, real-time data from remote places are often associated with slightly higher errors. The potential to collect large numbers of profiles cost-effectively makes data collection using CTD-SRDL technology particularly beneficial in regions where traditional oceanographic measurements are scarce or even absent. Depending on the CTD-SRDL configuration, it is possible to sample and transmit hydrographic profiles on a daily basis, providing valuable and often unique information for a real-time ocean observing system.

  4. Oceanographic profile temperature, salinity, and nutrients measurements collected using bottle, CTD from various platforms in the North West Pacific from 1995-2005 (NODC Accession 0010565)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Physical and Chemical Oceanographic Time Series (Line-P) containing profiles for Nutrients, temperature, salinity near Ocean Station PAPA (50 deg N;145 deg W)....

  5. Physical, biological and optical oceanographic data collected from moored buoys in the Bering Strait from 08/16/2004 to 09/03/2007 (NODC Accession 0045300)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Physical, current meter, biological, and optical oceanographic data were collected in the Bering Strait from August 16, 2004 to September 3, 2007. These data were...

  6. Coastal Change Processes Project data report for oceanographic observations near Fire Island, New York, February through May 2014

    Science.gov (United States)

    Armstrong, Brandy N.; Warner, John C.; List, Jeffrey H.; Martini, Marinna A.; Montgomery, Ellyn T.; Traykovski, Peter A.; Voulgaris, George

    2015-01-01

    An oceanographic field study during February through May 2014 investigated processes that control the sediment-transport dynamics along the western part of Fire Island, New York. This report describes the project background, field program, instrumentation configuration, and locations of the sensors deployed. The data collected, including meteorological observations, are presented as time-series plots for data visualization. Additionally, individual links to the database containing digital data files are available as part of this report.

  7. Ocean observation data from Woods Hole Oceanographic Institution ships Oceanus, Knorr, and Atlantis, in world-wide oceans from 1993-06-26 to 2011-08-05

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — These data are part of a collection of ocean observation data from Woods Hole Oceanographic Institution ships OCEANUS (call sign WXAQ; built 1975.00; IMO 7603617),...

  8. Oceanographic and meteorological data collected on expeditions of vessels in the academic fleet since 1994, submitted by the Rolling Deck to Repository (R2R) program

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This collection includes oceanographic and meteorological data collected during expeditions of vessels in the academic fleet. The data have been managed using the...

  9. Oceanographic profile temperature, salinity, oxygen and other measurements collected using bottle in the Barents, Kara, Laptev, White, and Norwegian Seas from 1970 through 1975 (NODC Accession 0002125)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Oceanographic profile temperature, salinity, oxygen and other measurements collected using bottle in the Barents, Kara, Laptev, White, and Norwegian Seas from 1970...

  10. Oceanographic profile temperature, salinity, oxygen and other measurement collected using bottle in the Barents, Kara, Laptev, White, and Norwegian Seas from 1976 through 1982 (NODC Accession 0002126)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Oceanographic profile temperature, salinity, oxygen and other measurement collected using bottle in the Barents, Kara, Laptev, White, and Norwegian Seas from 1976...

  11. Storm Surge Modeling of Typhoon Haiyan at the Naval Oceanographic Office Using Delft3D

    Science.gov (United States)

    Gilligan, M. J.; Lovering, J. L.

    2016-02-01

    The Naval Oceanographic Office provides estimates of the rise in sea level along the coast due to storm surge associated with tropical cyclones, typhoons, and hurricanes. Storm surge modeling and prediction helps the US Navy by providing a threat assessment tool to help protect Navy assets and provide support for humanitarian assistance/disaster relief efforts. Recent advancements in our modeling capabilities include the use of the Delft3D modeling suite as part of a Naval Research Laboratory (NRL) developed Coastal Surge Inundation Prediction System (CSIPS). Model simulations were performed on Typhoon Haiyan, which made landfall in the Philippines in November 2013. Comparisons of model simulations using forecast and hindcast track data highlight the importance of accurate storm track information for storm surge predictions. Model runs using the forecast track prediction and hindcast track information give maximum storm surge elevations of 4 meters and 6.1 meters, respectively. Model results for the hindcast simulation were compared with data published by the JSCE-PICE Joint survey for locations in San Pedro Bay (SPB) and on the Eastern Samar Peninsula (ESP). In SPB, where wind-induced set-up predominates, the model run using the forecast track predicted surge within 2 meters in 38% of survey locations and within 3 meters in 59% of the locations. When the hindcast track was used, the model predicted within 2 meters in 77% of the locations and within 3 meters in 95% of the locations. The model was unable to predict the high surge reported along the ESP produced by infragravity wave-induced set-up, which is not simulated in the model. Additional modeling capabilities incorporating infragravity waves are required to predict storm surge accurately along open coasts with steep bathymetric slopes, such as those seen in island arcs.

  12. Leveraging Available Technologies for Improved Interoperability and Visualization of Remote Sensing and In-situ Oceanographic data at the PO.DAAC

    Science.gov (United States)

    Tsontos, V. M.; Arms, S. C.; Thompson, C. K.; Quach, N.; Lam, T.

    2016-12-01

    Earth science applications increasingly rely on the integration of multivariate data from diverse observational platforms. Whether for satellite mission cal/val, science or decision support, the coupling of remote sensing and in-situ field data is integral also to oceanographic workflows. This has prompted archives such as the PO.DAAC, NASA's physical oceanographic data archive, that historically has had a remote sensing focus, to adapt to better accommodate complex field campaign datasets. However, the inherent heterogeneity of in-situ datasets and their variable adherence to meta/data standards poses a significant impediment to interoperability, a problem originating early in the data lifecycle and significantly impacting stewardship and usability of these data long-term. Here we introduce a new initiative underway at PO.DAAC that seeks to catalyze efforts to address these challenges. It involves the enhancement and integration of available high TRL (Technology Readiness level) components for improved interoperability and support of in-situ data with a focus on a novel yet representative class of oceanographic field data: data from electronic tags deployed on a variety of marine species as biological sampling platforms in support of fisheries management and ocean observation efforts. This project seeks to demonstrate, deliver and ultimately sustain operationally a reusable and accessible set of tools to: 1) mediate reconciliation of heterogeneous source data into a tractable number of standardized formats consistent with earth science data standards; 2) harmonize existing metadata models for satellite and field datasets; 3) demonstrate the value added of integrated data access via a range of available tools and services hosted at the PO.DAAC, including a web-based visualization tool for comprehensive mapping of satellite and in-situ data. An innovative part of our project plan involves partnering with the leading electronic tag manufacturer to promote the

  13. Long-Term Oceanographic Observations in Western Massachusetts Bay Offshore of Boston, Massachusetts: Data Report for 1989-2002

    Science.gov (United States)

    Butman, Bradford; Bothner, Michael H.; Alexander, P. Soupy; Lightsom, Frances L.; Martini, Marinna A.; Gutierrez, Benjamin T.; Strahle, William S.

    2004-01-01

    This data report presents long-term oceanographic observations made in western Massachusetts Bay at two locations: (1) 42 deg 22.6' N., 70 deg 47.0' W. (Site A, 33 m water depth) from December 1989 through December 2002 (figure 1), and (2) 42 deg 9.8' N., 70 deg 38.4' W. (Site B, 21 m water depth) from October 1997 through December 2002. Site A is approximately 1 km south of the new ocean outfall that began discharging treated sewage effluent from the Boston metropolitan area into Massachusetts Bay on September 6, 2000. These long-term oceanographic observations have been collected by the U.S. Geological Survey (USGS) in partnership with the Massachusetts Water Resources Authority (MWRA) and with logistical support from the U.S. Coast Guard (USCG - http://www.uscg.mil). This report presents time series data through December 2002, updating a similar report that presented data through December 2000 (Butman and others, 2002). In addition, the Statistics and Mean Flow sections include some new plots and tables and the format of the report has been streamlined by combining yearly figures into single .pdfs. Figure 1 (PDF format) The long-term measurements are planned to continue at least through 2005. The long-term oceanographic observations at Sites A and B are part of a USGS study designed to understand the transport and long-term fate of sediments and associated contaminants in the Massachusetts bays. (See http://woodshole.er.usgs.gov/project-pages/bostonharbor/ and Butman and Bothner, 1997.) The long-term observations document seasonal and inter-annual changes in currents, hydrography, and suspended-matter concentration in western Massachusetts Bay, and the importance of infrequent catastrophic events, such as major storms or hurricanes, in sediment resuspension and transport. They also provide observations for testing numerical models of circulation. This data report presents a description of the field program and instrumentation, an overview of the data through

  14. Summary of oceanographic and water-quality measurements in Barnegat Bay, New Jersey, 2014–15

    Science.gov (United States)

    Suttles, Steven E.; Ganju, Neil K.; Montgomery, Ellyn T.; Dickhudt, Patrick J.; Borden, Jonathan; Brosnahan, Sandra M.; Martini, Marinna A.

    2016-09-26

    Scientists and technical support staff from the U.S. Geological Survey measured suspended-sediment concentrations, currents, pressure, and water temperature in two tidal creeks, Reedy Creek and Dinner Creek, in Barnegat Bay, New Jersey, from August 11, 2014, to July 10, 2015 as part of the Estuarine Physical Response to Storms project (GS2–2D). The oceanographic and water-quality data quantify suspended-sediment transport in Reedy Creek and Dinner Creek, which are part of a tidal marsh wetland complex in the Edwin B. Forsythe National Wildlife Refuge. All deployed instruments were removed between January 7, 2015, and April 14, 2015, to avoid damage by ice.

  15. Oceanographic temperature, salinity and other profiles from CTD and ADCP taken from the Keifu Maru off the Northern Mariana Islands on 2017-02-12 (NCEI Accession 0162265)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Oceanographic observations performed by Japan Meteorological Agency in area under national jurisdiction of the United States. Data were submitted by the Embassy of...

  16. Long-term oceanographic observations in Massachusetts Bay, 1989-2006

    Science.gov (United States)

    Butman, Bradford; Alexander, P. Soupy; Bothner, Michael H.; Borden, Jonathan; Casso, Michael A.; Gutierrez, Benjamin T.; Hastings, Mary E.; Lightsom, Frances L.; Martini, Marinna A.; Montgomery, Ellyn T.; Rendigs, Richard R.; Strahle, William S.

    2009-01-01

    This data report presents long-term oceanographic observations made in western Massachusetts Bay at long-term site A (LT-A) (42 deg 22.6' N., 70 deg 47.0' W.; nominal water depth 32 meters) from December 1989 through February 2006 and long-term site B (LT-B) (42 deg 9.8' N., 70 deg 38.4' W.; nominal water depth 22 meters) from October 1997 through February 2004 (fig. 1). The observations were collected as part of a U.S. Geological Survey (USGS) study designed to understand the transport and long-term fate of sediments and associated contaminants in Massachusetts Bay. The observations include time-series measurements of current, temperature, salinity, light transmission, pressure, oxygen, fluorescence, and sediment-trapping rate. About 160 separate mooring or tripod deployments were made on about 90 research cruises to collect these long-term observations. This report presents a description of the 16-year field program and the instrumentation used to make the measurements, an overview of the data set, more than 2,500 pages of statistics and plots that summarize the data, and the digital data in Network Common Data Form (NetCDF) format. This research was conducted by the USGS in cooperation with the Massachusetts Water Resources Authority and the U.S. Coast Guard.

  17. Mooring-based long-term observation of oceanographic condition in the Chukchi Ses and Canada Basin of the Arctic Ocean

    Science.gov (United States)

    Kikuchi, Takashi; Itoh, Motoyo; Nishino, Shigeto; Watanabe, Eiji

    2015-04-01

    Changes of the Arctic Ocean environment are well known as one of the most remarkable evidences of global warming, attracting social and public attentions as well as scientists'. However, to illustrate on-going changes and predict future condition of the Arctic marine environment, we still do not have enough knowledge of Arctic sea ice and marine environment. In particular, lack of observation data in winter, e.g., under sea ice, still remains a key issue for precise understanding of seasonal cycle on oceanographic condition in the Arctic Ocean. Mooring-based observation is one of the most useful methods to collect year-long data in the Arctic Ocean. We have been conducting long-term monitoring using mooring system in the Pacific sector of the Arctic Ocean. Volume, heat, and freshwater fluxes through Barrow Canyon where is a major conduit of Pacific-origin water-masses into the Canada Basin have been observed since 2000. We show from an analysis of the mooring results that volume flux through Barrow Canyon was about 60 % of Bering Strait volume flux. Averaged heat flux ranges from 0.9 to 3.07 TW, which could melt 88,000 to 300,000 km2 of 1m thick ice in the Canada Basin, which likely contributed to sea ice retreat in the Pacific sector of the Arctic Ocean. In winter, we found inter-annual variability in salinity related to coastal polynya activity in the Chukchi Sea. In collaboration with Distributed Biological Observatory (DBO) project, which is one of the tasks of Sustaining Arctic Observing Network (SAON), we also initiated year-long mooring observation in the Hope Valley of the southern Chukchi Sea since 2012. Interestingly, winter oceanographic conditions in the Hope Valley are greatly different between in 2012-2013 and in 2013-2014. We speculate that differences of sea ice freeze-up and coastal polynya activity in the southern Chukchi Sea cause significant difference of winter oceanographic condition. It suggests that recent sea ice reduction in the Pacific

  18. A global classification of coastal flood hazard climates associated with large-scale oceanographic forcing.

    Science.gov (United States)

    Rueda, Ana; Vitousek, Sean; Camus, Paula; Tomás, Antonio; Espejo, Antonio; Losada, Inigo J; Barnard, Patrick L; Erikson, Li H; Ruggiero, Peter; Reguero, Borja G; Mendez, Fernando J

    2017-07-11

    Coastal communities throughout the world are exposed to numerous and increasing threats, such as coastal flooding and erosion, saltwater intrusion and wetland degradation. Here, we present the first global-scale analysis of the main drivers of coastal flooding due to large-scale oceanographic factors. Given the large dimensionality of the problem (e.g. spatiotemporal variability in flood magnitude and the relative influence of waves, tides and surge levels), we have performed a computer-based classification to identify geographical areas with homogeneous climates. Results show that 75% of coastal regions around the globe have the potential for very large flooding events with low probabilities (unbounded tails), 82% are tide-dominated, and almost 49% are highly susceptible to increases in flooding frequency due to sea-level rise.

  19. Benthic organisms data collected using sediment sampler casts from NOAA Ship OCEANOGRAPHER in the Chukchi Sea from 1986-09-06 to 1987-10-05 (NODC Accession 8900299)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Benthic organisms data were collected using sediment sampler casts from NOAA Ship OCEANOGRAPHER in the Chukchi Sea from 06 September 1986 to 05 October 1987. Data...

  20. Oceanographic profile temperature, salinity and other measurements using CTD taken from NOAA Ship RONALD H. BROWN in the North Atlantic and Equatorial Atlantic in 2013 (NODC Accession 0120701)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The 2013 PIRATA Northeast Extension (PNE) and Aerosols and Ocean Science Expedition (AEROSE) Cruise RB-13-01 was designed to: (1) collect a suite of oceanographic...

  1. Dive and Discover: Bringing Oceanographic Research into the Classroom and to the General Public

    Science.gov (United States)

    Fornari, D. J.; Fino, D.; Humphris, S. E.; Fruth, L. L.; Dean, S.

    2001-12-01

    We have developed the "Dive and Discover" web site for use in classrooms and for the general public to provide near real-time, daily access to oceanographic research expeditions, particularly those using deep submergence vehicles operated by Woods Hole Oceanographic Institution. The site was one of five science sites nominated for a 2001 Webby Award, was selected by Scientific American as one of the top five sites in the category of earth and environmental science, and was one of Eisenhower National Clearinghouse's "digital dozen" for science resources. The web site consists of two major components. A series of educational modules provide both general educational information about the oceans and the people that study them, as well as cruise-specific information about the natural systems being studied, the participating scientists, and the data and sample-collecting methodologies and technologies being used. The second component consists of modules that allow access to near real-time updates of the progress of the cruise, images of seafloor features and animals, samples of data being collected and used on board, and general information about life on board. In addition, a Mail Buoy provides e-mail access for students to ask questions of the scientists on board the ship during the course of the expedition. COSI Toledo have a linked Educator's Companion that gives access to COSI project management tips, background information, activities, correlations to national science education standards, assessment tools, and a vast array of resources to assist educators in using the web site. We have worked with teachers and students from all over the United States to test, evaluate, and refine the web site during five cruises in the Pacific and Indian Oceans over the last two years. These cruises focused on various problems associated with mid-ocean ridge volcanism, and the chemical, physical and biological processes associated with seafloor hydrothermal activity. Our intention

  2. Oceanographic conditions structure forage fishes into lipid-rich and lipid-poor communities in lower Cook Inlet, Alaska, USA

    Science.gov (United States)

    Abookire, Alisa A.; Piatt, John F.

    2005-01-01

    Forage fishes were sampled with a mid-water trawl in lower Cook Inlet, Alaska, USA, from late July to early August 1996 to 1999. We sampled 3 oceanographically distinct areas of lower Cook Inlet: waters adjacent to Chisik Island, in Kachemak Bay, and near the Barren Islands. In 163 tows using a mid-water trawl, 229 437 fishes with fork length lipid-poor gadids (walleye pollock and Pacific cod), and significantly increased in lipid-rich species such as Pacific sand lance, Pacific herring, and capelin. ?? Inter-Research 2005.

  3. The ties that bind: Soil surveyor William Edgar Tharp and oceanographic cartographer Marie Tharp

    Science.gov (United States)

    Landa, Edward R.

    The link between soil science and geology is personified in the American father and daughter: soil surveyor William Edgar Tharp (1870-1959) and oceanographic cartographer Marie Tharp (1920-2006). From 1904 to 1935, W.E. Tharp mapped soils in 14 states for the US Department of Agriculture, and campaigned during the late 1920s-early 1930s to raise awareness of the high rates of soil erosion from croplands. The lifestyle of the federal soil surveyor in the United States during the early 20th century involved frequent household moves, and it played a formative role in Marie Tharp’s childhood. Her path to a career in geology was molded by this family experience, by mentors encountered in the classroom, and by social barriers that faced women scientists of that era.

  4. An oceanographic model for the dispersion of wastes disposed of in the deep sea

    International Nuclear Information System (INIS)

    1983-06-01

    The report presents results of IMO/FAO/UNESCO/WMO/WHO/IAEA/UN/UNEP joint group of experts on the scientific aspects of marine pollution (GESAMP) to provide advice on the most suitable oceanographic modelling techniques to be applied to the deep-sea dumping of both radioactive and non-radioactive substances. There are four main parts of the work: the present knowledge of oceanic processes that may transfer substances from a deep-sea dump site back to man or his food chain, methods and models presently available for estimating or calculating concentration distributions of contaminants arising from releases from deep-sea dump sites and recommendations as to the presently most appropriate models, the reliability of the concentration distributions obtained using these models and recommended areas for further improvements including research needs

  5. Application of Open Source Technologies for Oceanographic Data Analysis

    Science.gov (United States)

    Huang, T.; Gangl, M.; Quach, N. T.; Wilson, B. D.; Chang, G.; Armstrong, E. M.; Chin, T. M.; Greguska, F.

    2015-12-01

    NEXUS is a data-intensive analysis solution developed with a new approach for handling science data that enables large-scale data analysis by leveraging open source technologies such as Apache Cassandra, Apache Spark, Apache Solr, and Webification. NEXUS has been selected to provide on-the-fly time-series and histogram generation for the Soil Moisture Active Passive (SMAP) mission for Level 2 and Level 3 Active, Passive, and Active Passive products. It also provides an on-the-fly data subsetting capability. NEXUS is designed to scale horizontally, enabling it to handle massive amounts of data in parallel. It takes a new approach on managing time and geo-referenced array data by dividing data artifacts into chunks and stores them in an industry-standard, horizontally scaled NoSQL database. This approach enables the development of scalable data analysis services that can infuse and leverage the elastic computing infrastructure of the Cloud. It is equipped with a high-performance geospatial and indexed data search solution, coupled with a high-performance data Webification solution free from file I/O bottlenecks, as well as a high-performance, in-memory data analysis engine. In this talk, we will focus on the recently funded AIST 2014 project by using NEXUS as the core for oceanographic anomaly detection service and web portal. We call it, OceanXtremes

  6. Oceanographic profile temperature, salinity, and oxygen measurements collected using CTD/XBT from NOAA Ship Ronald H. Brown in the Pacific Ocean from 2007 to 2008 (NODC Accession 0046077)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — XBT/CTD profile comparison data from the oceanographic line P18 2007/2008. XBT Deployments XBTs provided by Prof. Dean Roemmich of SIO were dropped during the cruise...

  7. Towards The Operational Oceanographic Model System In Estonian Coastal Sea, Baltic Sea

    Science.gov (United States)

    Kõuts, T.; Elken, J.; Raudsepp, U.

    An integrated system of nested 2D and 3D hydrodynamic models together with real time forcing data asquisition is designed and set up in pre-operational mode in the Gulf of Finland and Gulf of Riga, the Baltic Sea. Along the Estonian coast, implicit time-stepping 3D models are used in the deep bays and 2D models in the shallow bays with ca 200 m horizontal grid step. Specific model setups have been verified by in situ current measurements. Optimum configuration of initial parameters has been found for certain critical locations, usually ports, oil terminals, etc. Operational system in- tegrates also section of historical database of most important hydrologic parameters in the region, allowing use of certain statistical analysis and proper setup of initial conditions for oceanographic models. There is large variety of applications for such model system, ranging from environmental impact assessment at local coastal sea pol- lution problems to forecast of offshore blue algal blooms. Most probable risk factor in the coastal sea engineering is oil pollution, therefore current operational model sys- tem has direct custom oriented output the oil spill forecast for critical locations. Oil spill module of the operational system consist the automatic weather and hydromet- ric station (distributed in real time to internet) and prognostic model of sea surface currents. System is run using last 48 hour wind data and wind forecast and estimates probable oil deposition areas on the shoreline under certain weather conditions. Cal- culated evolution of oil pollution has been compared with some real accidents in the past and there was found good agreement between model and measurements. Graphi- cal user interface of oil spill model is currently installed at location of port authorities (eg. Muuga port), so in case of accidents it could be used in real time supporting the rescue operations. In 2000 current pre-operational oceanographic model system has been sucessfully used to

  8. WATER TEMPERATURE and other data from NOAA Ship DISCOVERER and NOAA Ship OCEANOGRAPHER in the TOGA Area - Pacific from 1979-04-23 to 1982-05-21 (NODC Accession 9000293)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The water depth and temperature data was collected as part of Equatorial Pacific Ocean Climate Studies from NOAA Ship Discoverer and NOAA Ship Oceanographer. The...

  9. Temporal Characterization of Hydrates System Dynamics beneath Seafloor Mounds. Integrating Time-Lapse Electrical Resistivity Methods and In Situ Observations of Multiple Oceanographic Parameters

    Energy Technology Data Exchange (ETDEWEB)

    Lutken, Carol [Univ. of Mississippi, Oxford, MS (United States); Macelloni, Leonardo [Univ. of Mississippi, Oxford, MS (United States); D' Emidio, Marco [Univ. of Mississippi, Oxford, MS (United States); Dunbar, John [Univ. of Mississippi, Oxford, MS (United States); Higley, Paul [Univ. of Mississippi, Oxford, MS (United States)

    2015-01-31

    This study was designed to investigate temporal variations in hydrate system dynamics by measuring changes in volumes of hydrate beneath hydrate-bearing mounds on the continental slope of the northern Gulf of Mexico, the landward extreme of hydrate occurrence in this region. Direct Current Resistivity (DCR) measurements were made contemporaneously with measurements of oceanographic parameters at Woolsey Mound, a carbonate-hydrate complex on the mid-continental slope, where formation and dissociation of hydrates are most vulnerable to variations in oceanographic parameters affected by climate change, and where changes in hydrate stability can readily translate to loss of seafloor stability, impacts to benthic ecosystems, and venting of greenhouse gases to the water-column, and eventually, the atmosphere. We focused our study on hydrate within seafloor mounds because the structurally-focused methane flux at these sites likely causes hydrate formation and dissociation processes to occur at higher rates than at sites where the methane flux is less concentrated and we wanted to maximize our chances of witnessing association/dissociation of hydrates. We selected a particularly well-studied hydrate-bearing seafloor mound near the landward extent of the hydrate stability zone, Woolsey Mound (MC118). This mid-slope site has been studied extensively and the project was able to leverage considerable resources from the team’s research experience at MC118. The site exhibits seafloor features associated with gas expulsion, hydrates have been documented at the seafloor, and changes in the outcropping hydrates have been documented, photographically, to have occurred over a period of months. We conducted observatory-based, in situ measurements to 1) characterize, geophysically, the sub-bottom distribution of hydrate and its temporal variability, and 2) contemporaneously record relevant environmental parameters (temperature, pressure, salinity, turbidity, bottom currents) to

  10. Reconstructing Oceanographic Conditions From the Holocene to the Last Glacial Maximum in the Bay of Bengal

    Science.gov (United States)

    Miller, J.; Dekens, P. S.; Weber, M. E.; Spiess, V.; France-Lanord, C.

    2015-12-01

    The International Ocean Discovery Program (IODP) Expedition 354 drilled 7 sites in the Bay of Bengal, providing a unique opportunity to improve our understanding of the link between glacial cycles, tropical oceanographic changes, and monsoon strength. Deep-sea sediment cores of the Bengal Fan fluctuate between sand, hemipelagic and terrestrial sediment layers. All but one of the sites (U1454) contain a layer of calcareous clay in the uppermost part of the core that is late Pleistocene in age. During Expedition 354 site U1452C was sampled at high resolution (every 2cm) by a broad group of collaborators with the goal of reconstructing monsoon strength and oceanographic conditions using a variety of proxies. The top 480 cm of site U1452C (8ºN, 87ºE, 3671m water depth) contains primarily nannofossil rich calcareous clay. The relatively high abundance of foraminifera will allow us to generate a high resolution record of sea surface temperature (SST) and sea surface salinity (SSS) using standard foraminifera proxies. We will present oxygen isotopes (δ18O) and Mg/Ca data of mixed layer planktonic foraminifera from the top 70cm of the core, representing the Holocene to the last glacial maximum. δ18O of planktonic foraminifera records global ice volume and local SST and SSS, while Mg/Ca of foraminifera is a proxy for SST. The paired Mg/Ca and δ18O measurements on the same samples of foraminifera, together with published estimates with global ocean δ18O, can be used to reconstruct both SST and local δ18O of seawater, which is a function of the evaporation/precipitation balance. In future work, the local SSS and SST during the LGM will be paired with terrestrial and other oceanic proxies to increase our understanding of how global climate is connected to monsoon strength.

  11. An Oceanographic Decision Support System for Scientific Field Experiments

    Science.gov (United States)

    Maughan, T.; Das, J.; McCann, M. P.; Rajan, K.

    2011-12-01

    Thom Maughan, Jnaneshwar Das, Mike McCann, Danelle Cline, Mike Godin, Fred Bahr, Kevin Gomes, Tom O'Reilly, Frederic Py, Monique Messie, John Ryan, Francisco Chavez, Jim Bellingham, Maria Fox, Kanna Rajan Monterey Bay Aquarium Research Institute Moss Lading, California, United States Many of the coastal ocean processes we wish to observe in order to characterize marine ecosystems have large spatial extant (tens of square km) and are dynamic moving kilometers in a day with biological processes spanning anywhere from minutes to days. Some like harmful algal blooms generate toxins which can significantly impact human health and coastal economies. In order to obtain a viable understanding of the biogeochemical processes which define their dynamics and ecology, it is necessary to persistently observe, track and sample within and near the dynamic fields using augmented methods of observation such as autonomous platforms like AUVs, gliders and surface craft. Field experiments to plan, execute and manage such multitude of assets are challenging. To alleviate this problem the autonomous systems group with its collaborators at MBARI and USC designed, built and fielded a prototype Oceanographic Decision Support System (ODSS) that provides situational awareness and a single portal to visualize and plan deployments for the large scale October 2010 CANON field program as well as a series of 2 week field programs in 2011. The field programs were conducted in Monterey Bay, a known 'red tide' incubator, and varied from as many as twenty autonomous platforms, four ships and 2 manned airplanes to coordinated AUV operations, drifters and a single ship. The ODSS web-based portal was used to assimilate information from a collection of sources at sea, including AUVs, moorings, radar data as well as remote sensing products generated by partner organizations to provide a synthesis of views useful to predict the movement of a chlorophyll patch in the confines of the northern Monterey Bay

  12. Oceanographic profile temperature, salinity, and nutrients measurements collected using bottle, XBT, CTD, XCTD from various platforms in the Atlantic and Pacific from 2001 to 2007 (NODC Accession 0045591)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — We are pleased to send you the Oceanographic Data observed by research institutes in Japan as a part of the lODE activity promoted by IOC/UNESCO. Enclosed CD-ROM...

  13. Summary of oceanographic and water-quality measurements in Chincoteague Bay, Maryland and Virginia, 2014–15

    Science.gov (United States)

    Suttles, Steven E.; Ganju, Neil K.; Brosnahan, Sandra M.; Montgomery, Ellyn T.; Dickhudt, Patrick J.; Beudin, Alexis; Nowacki, Daniel J.; Martini, Marinna A.

    2017-05-25

    U.S. Geological Survey scientists and technical support staff measured oceanographic, waterquality, seabed-elevation-change, and meteorological parameters in Chincoteague Bay, Maryland and Virginia, during the period of August 13, 2014, to July 14, 2015, as part of the Estuarine Physical Response to Storms project (GS2–2D) supported by the Department of the Interior Hurricane Sandy recovery program. These measurements provide time series data that quantify the response and can be used to better understand the resilience of this back-barrier estuarine system to storms. The Assateague Island National Seashore (National Park Service) and the Chincoteague National Wildlife Refuge (U.S. Fish and Wildlife Service) are on the east side of Chincoteague Bay.

  14. Interim oceanographic description of the North-East-Atlantic site for the disposal of low-level radioactive waste. Vol. 2

    International Nuclear Information System (INIS)

    Dickson, R.R.; Gurbutt, P.A.; Kershaw, P.J.

    1986-01-01

    The NEA Co-ordinated Research and Environmental Surveillance Programme (CRESP) related to sea disposal of radioactive waste was started in 1981 following a recommendation of the Group of experts convened every five years by NEA to review the continued suitability of the dumping site for radioactive waste in the North-East Atlantic. The objective of CRESP is to increase the available scientific data base related to the oceanographic and biological characteristics of the dump site and elaborate a site specific model of the transfers of radionuclides to human populations. Volume one of the ''Interim Oceanographic Description of the North-East Atlantic Site for the Disposal of Low-Level Radioactive Waste'' was published in early 1983. It was an attempt to identify remaining gaps in current knowledge of conditions at the site and relate these conditions to the physical environment of the North-East Atlantic Ocean as a whole. The amount of data obtained by the CRESP Programme is now sufficient to justify publication of this second volume. Scientists present results of research which is of direct relevance to a better assessment of the impact from dumping radioactive waste in the North-East Atlantic, in particular an evaluation of the potential radiation doses to man. These two volumes represent part of the scientific contribution of the CRESP Programme to the 1985 Review of the Continued Suitability of the North-East Atlantic dump site

  15. Oceanographic and fisheries data collected from NOAA and academic research vessels, and commercial menhaden vessels in Gulf of Mexico from 1988-06-14 to 1991-06-22 (NCEI Accession 0156304)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Oceanographic and fisheries data were collected during 1988 through 1991 through a multiagency research project to develop a remote sensing system to provide near...

  16. Physical trajectory profile data from glider sp007 deployed by Woods Hole Oceanographic Institution in the East Coast - US/Canada from 2017-04-27 to 2017-08-21 (NCEI Accession 0165175)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Spray glider profile data from Woods Hole Oceanographic Institution. (This deployment supported by NOAA.) The National Centers for Environmental Information (NCEI)...

  17. Underway meteorological and oceanographic chemical and physical data collected aboard the R/V Celtic Explorer in the north Atlantic Ocean from June 15, 2006 to July 5, 2006 (NODC Accession 0084476)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0084476 includes underway meteorological and oceanographic chemical and physical data collected aboard the Celtic Explorer in North Atlantic Ocean...

  18. Physical trajectory profile data from glider sp010 deployed by Woods Hole Oceanographic Institution in the East Coast - US/Canada from 2017-07-07 to 2017-09-12 (NCEI Accession 0166618)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Spray glider profile data from Woods Hole Oceanographic Institution. (This deployment supported by NOAA.) The National Centers for Environmental Information (NCEI)...

  19. Physical trajectory profile data from glider sp066 deployed by Woods Hole Oceanographic Institution in the East Coast - US/Canada from 2017-04-16 to 2017-08-02 (NCEI Accession 0164674)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Spray glider profile data from Woods Hole Oceanographic Institution. (This deployment supported by NOAA.) The National Centers for Environmental Information (NCEI)...

  20. Connecting the surface to near-shore bottom waters in the California Current ecosystem: a study of Northern California interannual to decadal oceanographic variability

    Science.gov (United States)

    Fish, C.; Hill, T. M.; Davis, C. V.; Lipski, D.; Jahncke, J.

    2017-12-01

    Elucidating both surface and bottom water ecosystem impacts of temperature change, acidification, and food web disruption are needed to understand anthropogenic processes in the ocean. The Applied California Current Ecosystem Studies (ACCESS) partnership surveys the California Current within the Greater Farallones and Cordell Bank National Marine Sanctuaries three times annually, sampling water column hydrography and discrete water samples from 0 m and 200 m depth at five stations along three primary transects. The transects span the continental shelf with stations as close as 13 km from the coastline to 65 km. This time series extends from 2004 to 2017, integrating information on climate, productivity, zooplankton abundance, oxygenation, and carbonate chemistry. We focus on the interpretation of the 2012-2017 carbonate chemistry data and present both long term trends over the duration of the time series as well as shorter term variability (e.g., ENSO, `warm blob' conditions) to investigate the region's changing oceanographic conditions. For example, we document oscillations in carbonate chemistry, oxygenation, and foraminiferal abundance in concert with interannual oceanographic variability and seasonal (upwelling) cycles. We concentrate on results from near Cordell Bank that potentially impact deep sea coral ecosystems.

  1. Temperature profile data from XBT casts in the TOGA area of the Pacific Ocean from NOAA Ship OCEANOGRAPHER from 1986-11-13 to 1987-01-12 (NODC Accession 8700330)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Temperature profile data were collected using XBT casts in the TOGA area of the Pacific Ocean from NOAA Ship OCEANOGRAPHER from 13 November 1986 to 12 January 1987....

  2. A Biogeochemical Oceanographer at Sea: My Life with Nitrogen and a Nod to Silica

    Science.gov (United States)

    Dugdale, Richard C.

    2018-01-01

    My evolution from electrical engineering student to limnologist and then to oceanographer was a consequence of generous mentoring, which led to my use of the 15N tracer technique to measure nitrogen fixation in aquatic systems. The concept of new and regenerated production arose when I applied this method to measure nitrate and ammonium uptake in marine ecosystems. I then showed that enzyme kinetics could be applied to algal nitrogen uptake and used a silicate pump to explain silicate limitation of diatoms in coastal and equatorial upwelling systems. These concepts are now recognized as modern nutrient paradigms in biogeochemical oceanography. My interest in nutrients required field studies and led to my passion for the study of upwelling ecosystems and the establishment of two major international programs, with numerous advisors, collaborators, and students helping along the way.

  3. Physical trajectory profile data from glider sp066 deployed by Woods Hole Oceanographic Institution in the East Coast - US/Canada from 2015-12-17 to 2016-04-06 (NCEI Accession 0153789)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Spray glider profile data from Woods Hole Oceanographic Institution (supported by NOAA). The National Centers for Environmental Information (NCEI) received the data...

  4. Physical trajectory profile data from glider sp055 deployed by Woods Hole Oceanographic Institution in the East Coast - US/Canada from 2015-07-16 to 2015-10-16 (NCEI Accession 0145714)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Spray glider profile data from Woods Hole Oceanographic Institution (supported by NOAA). The National Centers for Environmental Information (NCEI) received the data...

  5. Physical trajectory profile data from glider sp066 deployed by Woods Hole Oceanographic Institution in the East Coast - US/Canada from 2016-08-18 to 2016-09-28 (NCEI Accession 0156697)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Spray glider profile data from Woods Hole Oceanographic Institution (supported by NOAA). The National Centers for Environmental Information (NCEI) received the data...

  6. Physical trajectory profile data from glider sp010 deployed by Woods Hole Oceanographic Institution in the East Coast - US/Canada from 2015-04-09 to 2015-06-25 (NCEI Accession 0139261)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Spray glider profile data from Woods Hole Oceanographic Institution (supported by NOAA). The National Centers for Environmental Information (NCEI) received the data...

  7. Physical trajectory profile data from glider sp065 deployed by Woods Hole Oceanographic Institution in the East Coast - US/Canada from 2015-10-01 to 2016-01-07 (NCEI Accession 0145716)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Spray glider profile data from Woods Hole Oceanographic Institution (supported by NOAA). The National Centers for Environmental Information (NCEI) received the data...

  8. Oceanographic drivers and mistiming processes shape breeding success in a seabird.

    Science.gov (United States)

    Ramírez, Francisco; Afán, Isabel; Tavecchia, Giacomo; Catalán, Ignacio A; Oro, Daniel; Sanz-Aguilar, Ana

    2016-03-16

    Understanding the processes driving seabirds' reproductive performance through trophic interactions requires the identification of seasonal pulses in marine productivity. We investigated the sequence of environmental and biological processes driving the reproductive phenology and performance of the storm petrel (Hydrobates pelagicus) in the Western Mediterranean. The enhanced light and nutrient availability at the onset of water stratification (late winter/early spring) resulted in annual consecutive peaks in relative abundance of phytoplankton, zooplankton and ichthyoplankton. The high energy-demanding period of egg production and chick rearing coincided with these successive pulses in food availability, pointing to a phenological adjustment to such seasonal patterns with important fitness consequences. Indeed, delayed reproduction with respect to the onset of water stratification resulted in both hatching and breeding failure. This pattern was observed at the population level, but also when confounding factors such as individuals' age or experience were also accounted for. We provide the first evidence of oceanographic drivers leading to the optimal time-window for reproduction in an inshore seabird at southern European latitudes, along with a suitable framework for assessing the impact of environmentally driven changes in marine productivity patterns in seabird performance. © 2016 The Author(s).

  9. Effects of Changing Weather, Oceanographic Conditions, and Land Uses on Spatio-Temporal Variation of Sedimentation Dynamics along Near-Shore Coral Reefs

    Directory of Open Access Journals (Sweden)

    Abimarie Otaño-Cruz

    2017-08-01

    Full Text Available Sedimentation is a critical threat to coral reefs worldwide. Major land use alteration at steep, highly erodible semi-arid islands accelerates the potential of soil erosion, runoff, and sedimentation stress to nearshore coral reefs during extreme rainfall events. The goal of this study was to assess spatio-temporal variation of sedimentation dynamics across nearshore coral reefs as a function of land use patterns, weather and oceanographic dynamics, to identify marine ecosystem conservation strategies. Sediment was collected at a distance gradient from shore at Bahia Tamarindo (BTA and Punta Soldado (PSO coral reefs at Culebra Island, Puerto Rico. Sediment texture and composition were analyzed by dry sieving and loss-on-ignition techniques, and were contrasted with environmental variables for the research period (February 2014 to April 2015. Rainfall and oceanographic data were analyzed to address their potential role on affecting sediment distribution with BEST BIO-ENV, RELATE correlation, and linear regression analysis. A significant difference in sedimentation rate was observed by time and distance from shore (PERMANOVA, p < 0.0100, mostly attributed to higher sediment exposure at reef zones closer to shore due to strong relationships with coastal runoff. Sedimentation rate positively correlated with strong rainfall events (Rho = 0.301, p = 0.0400 associated with storms and rainfall intensity exceeding 15 mm/h. At BTA, sediment deposited were mostly composed of sand, suggesting a potential influence of resuspension produced by waves and swells. In contrast, PSO sediments were mostly composed of silt-clay and terrigenous material, mainly attributed to a deforestation event that occurred at adjacent steep sub-watershed during the study period. Spatial and temporal variation of sedimentation pulses and terrigenous sediment input implies that coral reefs exposure to sediment stress is determined by local land use patterns, weather, and

  10. Near-realtime oceanographic profile data collected by Gliders from 20100528 to 20100830 as part of the GTSPP in response to the 20100420 Deepwater Horizon oil spill event (NODC Accession 0065724)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Data products and in situ oceanographic data collected in response to the Deepwater Horizon Event in the Gulf of Mexico (May 2010). The Global Temperature and...

  11. Near-realtime oceanographic profile data collected by Floats from 20100524 to 20101206 as part of the GTSPP in response to the 20100420 Deepwater Horizon oil spill event (NODC Accession 0065725)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Data products and in situ oceanographic data collected in response to the Deepwater Horizon Event in the Gulf of Mexico (May 2010). The Global Temperature and...

  12. Laboratory Constraints on the Stability of Petroleum at Elevated Temperatures: Implications for the Origin of Natural Gas

    Energy Technology Data Exchange (ETDEWEB)

    Seewald, Jeffrey, S.

    2011-03-14

    Results of prior DOE supported research conducted at the Woods Hole Oceanographic Institution have demonstrated the participation of sedimentary minerals and water as reactants and catalysts in chemical transformations associated with the degradation of oil and the formation of low molecular weight organic compounds. The occurrence of such processes in natural environments can be difficult to recognize because the composition of organic alteration products may not be substantially different than those produced by thermal cracking. The goals of this study were the development of diagnostic tools based on hydrogen and carbon isotopes that can be used to identify geochemical processes responsible for the formation of thermogenic natural gas. In addition, our activities were expanded to include experimental investigation of CO2 reduction in aqueous systems at elevated temperature and pressures and an assessment of microbial activity in relatively low temperature (<70°C) natural gas reservoirs in southeastern Oklahoma. Specific objectives included: A laboratory investigation of geochemical processes that regulate the hydrogen isotope composition of low molecular weight hydrocarbons in natural gas at elevated temperatures and pressures. A laboratory investigation of factors that regulate the carbon isotope composition of organic acids in basinal brines. A laboratory assessment of the role of methanol during reduction of CO2 to CH4 under hydrothermal conditions. Characterization of microbial ecosystems in coproduced fluids from the Potato Hills gas field to assess the role of microbes in the generation of natural gas.

  13. Ocean Tracking Network (OTN): Development of Oceanographic Data Integration with Animal Movement

    Science.gov (United States)

    Bajona, L.

    2016-02-01

    OTN is a $168-million ocean research and technology development platform headquartered at Dalhousie University, Canada. Using acoustic and satellite telemetry to globally document the movements and survival of aquatic animals, and their environmental correlates. The OTN Mission: to foster conservation and sustainability of valued species by generating knowledge on the movement patterns of aquatic species in their changing environment. OTN's ever-expanding global network of acoustic receivers listening for over 90 different key animal species is providing for the data needed in working in collaboration with researchers for the development of oceanographic data integration with animal movement. Presented here is Data Management's work to date, status and challenges in OTN's move towards a community standard to enable sharing between projects nationally and internationally; permitting inter-operability with other large national (e.g. CHONe, ArcticNET) and international (IOOS, IMOS) networks. This work includes co-development of Animal Acoustic Telemetry (AAT) metadata standard and implementation using an ERDDAP data server (NOAA, Environmental Research Division's Data Access Program) facilitating ingestion for modelers (eg. netcdf).

  14. Temperature profile and other data from CTD casts from NOAA Ship OCEANOGRAPHER in the TOGA area of Pacific Ocean from 1987-05-28 to 1987-07-27 (NODC Accession 9000149)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Conductivity, Temperature and Depth (CTD); and other data were collected using NOAA Ship Oceanographer from TOGA Area-Pacific (30 N to 30 S) under the Transport...

  15. Defining Mediterranean and Black Sea biogeochemical subprovinces and synthetic ocean indicators using mesoscale oceanographic features

    DEFF Research Database (Denmark)

    Nieblas, Anne-Elise; Drushka, Kyla; Reygondeau, Gabriel

    2014-01-01

    variables to define integrative indices to monitor the environmental changes within each resultant subprovince at monthly resolutions. Using both the classical and mesoscale features, we find five biogeochemical subprovinces for the Mediterranean and Black Seas. Interestingly, the use of mesoscale variables......The Mediterranean and Black Seas are semi-enclosed basins characterized by high environmental variability and growing anthropogenic pressure. This has led to an increasing need for a bioregionalization of the oceanic environment at local and regional scales that can be used for managerial...... applications as a geographical reference. We aim to identify biogeochemical subprovinces within this domain, and develop synthetic indices of the key oceanographic dynamics of each subprovince to quantify baselines from which to assess variability and change. To do this, we compile a data set of 101 months...

  16. 46 CFR 194.15-3 - Responsibility.

    Science.gov (United States)

    2010-10-01

    ... scientific party embarked may supervise the safety and operation of the chemical laboratory. (b) The laboratory supervisor shall: (1) Maintain the highest standards of safe working conditions. (2) Provide... GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) OCEANOGRAPHIC RESEARCH VESSELS HANDLING, USE, AND...

  17. SOCIB applications for oceanographic data management

    Science.gov (United States)

    Troupin, Charles; Pau Beltran, Joan; Frontera, Biel; Gómara, Sonia; Lora, Sebastian; March, David; Sebastian, Kristian; Tintoré, Joaquin

    2015-04-01

    The Balearic Islands Coastal Ocean Observing and Forecasting System (SOCIB, http://www.socib.es), is a multi-platform Marine Research Infrastructure that provides free, open and quality-controlled data from near-shore to the open sea. To collect the necessary data, the SOCIB system is made up of: a research vessel, a high-frequency (HF) radar system, weather stations, tide gauges, moorings, drifting buoys, ARGO profilers, and gliders (autonomous underwater vehicles). In addition, the system has recently begun incorporating oceanographic sensors attached to sea turtles. High-resolution numerical models provide forecast for hydrodynamics (ROMS) and waves (SAPO). According to SOCIB principles, data have to be: discoverable and accessible; freely available; interoperable, quality-controlled and standardized. The Data Centre (DC) manages the different steps of data processing, including: acquisition using SOCIB platforms (gliders, drifters, HF radar, ...), numerical models (hydrodynamics, waves, ...) or information generated by other data sources, distribution through dedicated web and mobile applications dynamic visualisation. The SOCIB DC constitutes an example of marine information systems within the framework of new coastal ocean observatories. In this work we present some of the applications developed for specific type of users, as well as the technologies used for their implementation: DAPP (Deployments application, http://apps.socib.es/dapp/), a web application to display information related to mobile platform trajectories. LW4NC2 (http://thredds.socib.es/lw4nc2), a web application for multidimensional (grid) data from NetCDF files (numerical models, HF radar). SACOSTA (http://gis.socib.es/sacosta), a viewer for cartographic data such as environmental sensitivity of the coastline. SEABOARD (http://seaboard.socib.es), a tool to disseminate SOCIB real time data to different types of users. Smart-phone apps to access data, platform trajectories and forecasts in real

  18. Oceanographic data collected during EX1701 (Kingman/Palmyra, Jarvis (Mapping)) on NOAA Ship OKEANOS EXPLORER in the South Pacific Ocean from 2017-01-18 to 2017-02-10 (NCEI Accession 0162263)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset contains oceanographic data collected in Pago Pago, American Samoa. Operations focused within several marine protected areas and included the use of the...

  19. Silent film: The Carlsberg Foundation’s Oceanographic Expedition Round the World, 1928–30

    DEFF Research Database (Denmark)

    Poulsen, Bo

    2016-01-01

    the surveys conducted onboard, as well as encounters with local populations round the World. This silent film consists of c. 20 different sequences. There is a very instructive introduction to the fishing gear, as it is being deployed in the sea, although this is supplemented by camera shots from what......Danish marine scientist, Johannes Schmidt was also a pioneer when it comes to popularizing deep-sea marine research through the use of mass media. When Schmidt headed the Carlsberg Foundation’s Oceanographical Expedition Round the World, 1928-1930, he brought along a film camera, documenting...... is clearly an aquarium, where the functioning of the water sampler is shown in action. As the Dana moves into the Pacific Ocean the focus of the film also changes. In the sections from the Pacific and Indian Oceans the film includes captions describing the local inhabitants of the Polynesian islands...

  20. Acquisition and preliminary analysis of multi-channel seismic reflection data, acquired during the oceanographic cruises of the TOMO-ETNA experiment

    Directory of Open Access Journals (Sweden)

    Marco Firetto Carlino

    2016-09-01

    Full Text Available The TOMO-ETNA experiment was performed in the framework of the FP7 “MED-SUV” (MEDiterranean SUpersite Volcanoes in order to gain a detailed geological and structural model of the continental and oceanic crust concerning Etna and Aeolian Islands volcanoes (Sicily, Italy, by means of active and passive seismic exploration methodologies. Among all data collected, some 1410 km of marine multi-channel seismic (MCS reflection profiles were acquired in the Ionian and Tyrrhenian Seas during two of the three oceanographic cruises of the TOMO-ETNA experiment, in July and November 2014, with the aim of shading light to deep, intermediate and shallow stratigraphy and crustal structure of the two above mentioned areas. The MCS sections, targeted to deep exploration, were acquired during the oceanographic cruise on board the R/V “Sarmiento de Gamboa”, using an active seismic source of 16 air-guns, for a total volume of 4340 cu. in., and a 3000 m long, 240-channels digital streamer as receiving system. High-resolution seismic profiles were instead collected through the R/V “Aegaeo”, using two smaller air-guns (overall 270 cu. in. volume and a 96 channels, 300 m long digital streamer. This paper provides a detailed description of the acquisition parameters and main processing steps adopted for the MCS data. Some processed lines are shown and preliminarily interpreted, to highlight the overall good quality and the high potential of the MCS sections collected during the TOMO-ETNA experiment.

  1. R2R Eventlogger: Community-wide Recording of Oceanographic Cruise Science Events

    Science.gov (United States)

    Maffei, A. R.; Chandler, C. L.; Stolp, L.; Lerner, S.; Avery, J.; Thiel, T.

    2012-12-01

    Methods used by researchers to track science events during a science research cruise - and to note when and where these occur - varies widely. Handwritten notebooks, printed forms, watch-keeper logbooks, data-logging software, and customized software have all been employed. The quality of scientific results is affected by the consistency and care with which such events are recorded and integration of multi-cruise results is hampered because recording methods vary widely from cruise to cruise. The Rolling Deck to Repository (R2R) program has developed an Eventlogger system that will eventually be deployed on most vessels in the academic research fleet. It is based on the open software package called ELOG (http://midas.psi.ch/elog/) originally authored by Stefan Ritt and enhanced by our team. Lessons have been learned in its development and use on several research cruises. We have worked hard to find approaches that encourage cruise participants to use tools like the eventlogger. We examine these lessons and several eventlogger datasets from past cruises. We further describe how the R2R Science Eventlogger works in concert with the other R2R program elements to help coordinate research vessels into a coordinated mobile observing fleet. Making use of data collected on different research cruises is enabled by adopting common ways of describing science events, the science instruments employed, the data collected, etc. The use of controlled vocabularies and the practice of mapping these local vocabularies to accepted oceanographic community vocabularies helps to bind shipboard research events from different cruises into a more cohesive set of fleet-wide events that can be queried and examined in a cross-cruise manner. Examples of the use of the eventlogger during multi-cruise oceanographic research programs along with examples of resultant eventlogger data will be presented. Additionally we will highlight the importance of vocabulary use strategies to the success of the

  2. A century of oceanographic and fisheries exploration on the continental shelf off Argentina

    Science.gov (United States)

    Angelescu, V.; Sánchez, R. P.

    1995-03-01

    A detailed analysis is presented of the main contributions, both local and international, to the fields of oceanography and fishery sciences resulting from exploratory cruises carried out on the continental shelf off Argentina over the last 100 years. The end of the 19th century is chosen as a starting point for this analysis as it marks the beginning of active marine research by Argentinian scientists and an accumulation of information on Antarctic and Subantarctic organisms in foreign journals. Mention is also made of previous contributions derived from the classic expeditions and global circumnavigational voyages during the 18th and 19th centuries. Although the aims of those were not always strictly oceanographic, they rendered significant information to this field of knowledge. In the early years, references arose mainly from the particular geographic situation of the Argentinian shelf, a necessary passage in the navigation routes to the Pacific Ocean, and later on the way to Antarctica. Sources of information are divided into four categories: (a) foreign scientific projects in the area; (b) investigation by Argentinian scientists and research vessels; (c) joint projects between Argentinian and foreign institutions; and (d) contributions from sources other than oceanographic cruises (commercial navigation, maritime weather reports, satellite images, etc.). The analysis includes an updated and classified bibliographical list of the main contributions to the fields of oceanography and fishery sciences derived from those sources, published either in international or local journals or appearing as technical and internal reports. The motivations, objectives and main achievements of foreign surveys and programmes in the area and their impact on local scientific progress are discussed. The early sixties mark a turning point in the evolution of international research in the area. The creation of biological stations along the Argentinian coast, and the support given to

  3. Reconstruction of Oceanographic Changes Based on the Diatom Records of the Central Okhotsk Sea over the last 500000 Years

    Directory of Open Access Journals (Sweden)

    Wei-Lung Wang Liang-Chi Wang

    2008-01-01

    Full Text Available This study provides insight into changes in sea ice conditions and the oceanographic environment over the past 500 kyr through analysis of the diatom record. Based on the relative abundance of 13 diatoms species in piston core MD012414, four types of environmental conditions in the central Okhotsk Sea over the last 330 ka BP have been distinguished: (1 open-ocean alternating with seasonal sea-ice cover in Stages 9, 5, and 1; (2 almost open-ocean free of sea-ice cover in Stages 7 and 3; (3 perennial sea-ice cover in Stages 6, 4, and 2; and (4 a warm ice-age dominated by open ocean assemblages in Stage 8. The littoral diatom species, Paralia sulcata, showed a sudden increase from the glacial period to the nterglacial period over the last 330 ka BP, except during Stage 8. Such a result implies that melting sea-ice transported terrigenous materials from the north Okhotsk Sea continental shelves to the central ocean during eglaciation. From Stage 13 to Stage 10, however, cold and warm marine conditions unexpectedly occurred in the late interglacial periods and the glacial periods, respectively. One possible reason for this is a lack of age control points from Stage 13 to Stage 10, and the different sediment accumulation rates between glacial and interglacial periods. This study suggests not only the process by which oceanographic variation of sea ice occurred, but also new significance for Paralia sulcata as an indicator in the diatom record of the Okhotsk Sea.

  4. Building oceanographic and atmospheric observation networks by composition: unmanned vehicles, communication networks, and planning and execution control frameworks

    Science.gov (United States)

    Sousa, J. T.; Pinto, J.; Martins, R.; Costa, M.; Ferreira, F.; Gomes, R.

    2014-12-01

    The problem of developing mobile oceanographic and atmospheric observation networks (MOAO) with coordinated air and ocean vehicles is discussed in the framework of the communications and control software tool chain developed at Underwater Systems and Technologies Laboratory (LSTS) from Porto University. This is done with reference to field experiments to illustrate key capabilities and to assess future MOAO operations. First, the motivation for building MOAO by "composition" of air and ocean vehicles, communication networks, and planning and execution control frameworks is discussed - in networked vehicle systems information and commands are exchanged among multiple vehicles and operators, and the roles, relative positions, and dependencies of these vehicles and operators change during operations. Second, the planning and execution control framework developed at LSTS for multi-vehicle systems is discussed with reference to key concepts such as autonomy, mixed-initiative interactions, and layered organization. Third, the LSTS tool software tool chain is presented to show how to develop MOAO by composition. The tool chain comprises the Neptus command and control framework for mixed initiative interactions, the underlying IMC messaging protocol, and the DUNE on-board software. Fourth, selected LSTS operational deployments illustrate MOAO capability building. In 2012 we demonstrated the use of UAS to "ferry" data from UUVs located beyond line of sight (BLOS). In 2013 we demonstrated coordinated observations of coastal fronts with small UAS and UUVs, "bent" BLOS through the use of UAS as communication relays, and UAS tracking of juvenile hammer-head sharks. In 2014 we demonstrated UUV adaptive sampling with the closed loop controller of the UUV residing on a UAS; this was done with the help of a Wave Glider ASV with a communications gateway. The results from these experiments provide a background for assessing potential future UAS operations in a compositional MOAO.

  5. The NOSAMS sample preparation laboratory in the next millenium: Progress after the WOCE program

    International Nuclear Information System (INIS)

    Gagnon, Alan R.; McNichol, Ann P.; Donoghue, Joanne C.; Stuart, Dana R.; Reden, Karl von

    2000-01-01

    Since 1991, the primary charge of the National Ocean Sciences AMS (NOSAMS) facility at the Woods Hole Oceanographic Institution has been to supply high throughput, high precision AMS 14 C analyses for seawater samples collected as part of the World Ocean Circulation Experiment (WOCE). Approximately 13,000 samples taken as part of WOCE should be fully analyzed by the end of Y2K. Additional sample sources and techniques must be identified and incorporated if NOSAMS is to continue in its present operation mode. A trend in AMS today is the ability to routinely process and analyze radiocarbon samples that contain tiny amounts ( 14 C analysis has been recognized as a major facility goal. The installation of a new 134-position MC-SNICS ion source, which utilizes a smaller graphite target cartridge than presently used, is one step towards realizing this goal. New preparation systems constructed in the sample preparation laboratory (SPL) include an automated bank of 10 small-volume graphite reactors, an automated system to process organic carbon samples, and a multi-dimensional preparative capillary gas chromatograph (PCGC)

  6. Oceanographic data collected during the EX1607 (CAPSTONE Wake Island PRIMNM (Mapping)) on NOAA Ship OKEANOS EXPLORER in the North Pacific Ocean from 2016-08-25 to 2016-09-11 (NCEI Accession 0156614)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset contains oceanographic data collected in and around the Wake Island Unit of the Pacific Remote Islands Marine National Monument (PRIMNM). Operations...

  7. Temporal patterns in habitat use by small cetaceans at an oceanographically dynamic marine renewable energy test site in the Celtic Sea

    Science.gov (United States)

    Cox, S. L.; Witt, M. J.; Embling, C. B.; Godley, B. J.; Hosegood, P. J.; Miller, P. I.; Votier, S. C.; Ingram, S. N.

    2017-07-01

    Shelf-seas are highly dynamic and oceanographically complex environments, which likely influences the spatio-temporal distributions of marine megafauna such as marine mammals. As such, understanding natural patterns in habitat use by these animals is essential when attempting to ascertain and assess the impacts of anthropogenically induced disturbances, such as those associated with marine renewable energy installations (MREIs). This study uses a five year (2009-2013) passive acoustics (C-POD) dataset to examine the use of an oceanographically dynamic marine renewable energy test site by small cetaceans, dolphins (unspecified delphinids) and harbour porpoises Phocoena phocoena, in the southern Celtic Sea. To examine how temporal patterns in habitat use across the site related to oceanographic changes occurring over broad seasonal scales as well as those driven by fine scale (bi-weekly) localised processes (that may be masked by seasonal trends), separate analyses were conducted using (1) all daily animal detection rates spanning the entire five year dataset and (2) daily animal detection rates taken only during the summer months (defined as mid-June to mid-October) of 2010 (when continuous monitoring was carried out at multiple discrete locations across the site). In both instances, generalised additive mixed effects models (GAMMs) were used to link detection rates to a suite of environmental variables representative of the oceanography of the region. We show that increased harbour porpoise detection rates in the late winter/early spring (January-March) are associated with low sea surface temperatures (SST), whilst peaks in dolphin detection rates in the summer (July-September) coincide with increased SSTs and the presence of a tidal-mixing front. Moreover, across the summer months of 2010, dolphin detection rates were found to respond to small scale changes in SST and position in the spring-neap cycle, possibly reflective of a preference for the stratified waters

  8. Oceanographic data collected during the EX1609 (Main Hawaiian Island Shakedown) on NOAA Ship OKEANOS EXPLORER in the North Pacific Ocean from 2016-12-10 to 2016-12-16 (NCEI Accession 0160069)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset contains oceanographic data collected in Honolulu, Hawaii. The primary goals of this cruise included a shakedown, test, and calibration of the ship’s...

  9. Oceanographic and topographic conditions structure benthic meiofauna communities in the Weddell Sea, Bransfield Strait and Drake Passage (Antarctic)

    Science.gov (United States)

    Veit-Köhler, Gritta; Durst, Stephan; Schuckenbrock, Jan; Hauquier, Freija; Durán Suja, Laura; Dorschel, Boris; Vanreusel, Ann; Martínez Arbizu, Pedro

    2018-03-01

    The marine environment of the tip of the Antarctic Peninsula is characterised by three oceanographically distinct regions for which we linked continental-slope meiofaunal patterns and environmental drivers on a large scale (100-300 km among ecoregions). Samples for meiofauna communities and sediment analyses were collected with a multicorer, water-column data were derived from water samples and CTD recordings. Meiofauna communities including individuals from 19 higher taxa were compared to a set of 16 environmental variables. We detected significant differences between the communities of Weddell Sea and those of Bransfield Strait and Drake Passage. The amount of phytopigments in the sediment, their freshness and the silt and clay content were driving factors for this separation. The highest meiofauna abundances were found at slopes in the Weddell Sea. Food banks may facilitate high standing stocks. There, the highest ever recorded copepod percentages for the Antarctic were related to the highest phytopigment contents while nematodes were extremely abundant even in deeper sediment layers at stations with fresh organic material. For Bransfield Strait and Drake Passage a sampling scheme of slopes and adjacent troughs was applied. The two regions were divided into three geographical "areas" with the two "habitat" types investigated for each area. Multivariate non-parametric permutational analysis of variance (PERMANOVA) showed that in Bransfield Strait slope and trough meiofauna communities differed significantly in all geographical areas while in Drake Passage this was only the case in the East. These differences were explained best by the regionally and topographically distinct characteristics of 7 out of 11 water-column and sediment-bound factors related to sediment grain size, food quantity and quality, water temperature and salinity. Environmental drivers of the benthic habitat are dependent on large-scale oceanographic conditions and are thus sensitive to changes

  10. Coupled wave and surge modelling for the eastern Irish Sea and implications for model wind-stress

    Science.gov (United States)

    Brown, Jennifer M.; Wolf, Judith

    2009-05-01

    We revisit the surge of November 1977, a storm event which caused damage on the Sefton coast in NW England. A hindcast has been made with a coupled surge-tide-wave model, to investigate whether a wave-dependent surface drag is necessary for accurate surge prediction, and also if this can be represented by an optimised Charnock parameter. The Proudman Oceanographic Laboratory Coastal Modelling System-Wave Model (POLCOMS-WAM) has been used to model combined tides, surges, waves and wave-current interaction in the Irish Sea on a 1.85 km grid. This period has been previously thoroughly studied, e.g. Jones and Davies [Jones, J.E., Davies, A.M., 1998. Storm surge computations for the Irish Sea using a three-dimensional numerical model including wave-current interaction. Continental Shelf Research 18(2), 201-251] and we build upon this previous work to validate the POLCOMS-WAM model to test the accuracy of surge elevation predictions in the study area. A one-way nested approach has been set up from larger scale models to the Irish Sea model. It was demonstrated that (as expected) swell from the North Atlantic does not have a significant impact in the eastern Irish Sea. To capture the external surge generated outside of the Irish Sea a (1/9° by 1/6°) model extending beyond the continental shelf edge was run using the POLCOMS model for tide and surge. The model results were compared with tide gauge observations around the eastern Irish Sea. The model was tested with different wind-stress formulations including Smith and Banke [Smith, S.D., Banke, E.G., 1975. Variation of the surface drag coefficient with wind speed. Quarterly Journal of the Royal Meteorology Society, 101(429), 665-673] and Charnock [Charnock, H., 1955. Wind-stress on a water surface. Quarterly Journal of the Royal Meteorological Society, 81(350), 639-640]. In order to get a single parameterisation that works with wave-coupling, the wave-derived surface roughness length has been imposed in the surge model

  11. Status report on research at the Institute of Oceanographic Sciences related to the possible disposal of radioactive waste on or beneath the seafloor April 1979 - March 1984

    International Nuclear Information System (INIS)

    Booty, B.

    1985-01-01

    This report summarises all of the research carried out by the Institute of Oceanographic Sciences in connection with the possible disposal of radioactive waste at sea. It covers the period April 1 1979 to March 31 1984. All the work mentioned here is reported upon, usually in much greater detail, in a series of individual reports. (author)

  12. Rapid Deployment of a RESTful Service for Oceanographic Research Cruises

    Science.gov (United States)

    Fu, Linyun; Arko, Robert; Leadbetter, Adam

    2014-05-01

    The Ocean Data Interoperability Platform (ODIP) seeks to increase data sharing across scientific domains and international boundaries, by providing a forum to harmonize diverse regional data systems. ODIP participants from the US include the Rolling Deck to Repository (R2R) program, whose mission is to capture, catalog, and describe the underway/environmental sensor data from US oceanographic research vessels and submit the data to public long-term archives. R2R publishes information online as Linked Open Data, making it widely available using Semantic Web standards. Each vessel, sensor, cruise, dataset, person, organization, funding award, log, report, etc, has a Uniform Resource Identifier (URI). Complex queries that federate results from other data providers are supported, using the SPARQL query language. To facilitate interoperability, R2R uses controlled vocabularies developed collaboratively by the science community (eg. SeaDataNet device categories) and published online by the NERC Vocabulary Server (NVS). In response to user feedback, we are developing a standard programming interface (API) and Web portal for R2R's Linked Open Data. The API provides a set of simple REST-type URLs that are translated on-the-fly into SPARQL queries, and supports common output formats (eg. JSON). We will demonstrate an implementation based on the Epimorphics Linked Data API (ELDA) open-source Java package. Our experience shows that constructing a simple portal with limited schema elements in this way can significantly reduce development time and maintenance complexity.

  13. Oceanographic data collected during EX1704 (American Samoa and Cook Islands (Telepresence Mapping)) on NOAA Ship OKEANOS EXPLORER in the South Pacific Ocean from 2017-04-04 to 2017-04-21 (NCEI Accession 0163356)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset contains oceanographic data collected in Apia, Western Samoa and Pago Pago, American Samoa. Operations for this cruise focused within the waters of...

  14. Temperature profiles from mechanical bathythermograph (MBT) casts from the USS ENHANCE in the Philippine Sea in support of the Fleet Observations of Oceanographic Data (FLOOD) project on 1965-11-01 (NODC Accession 6500176)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — MBT data were collected from the USS ENHANCE in support of the Fleet Observations of Oceanographic Data (FLOOD) project. Data were collected in the in the Philippine...

  15. Temperature profiles from mechanical bathythermograph (MBT) casts from the USS BOLD in the Mediterranean Sea in support of the Fleet Observations of Oceanographic Data (FLOOD) project for 1955-08-25 (NODC Accession 5500036)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — MBT data were collected from the USS BOLD in support of the Fleet Observations of Oceanographic Data (FLOOD) project. Data were collected by US Navy; Ships of...

  16. Oceanographic water temperature profiles from XBTs aboard multiple platforms as part of the GTSPP and SOT SOOP in the Southern Ocean and adjoining seas from 2016-02-10 to 2016-12-03 (NCEI Accession 0157632)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Oceanographic water temperature profiles collected from XBTs aboard the platforms Maersk Jalan, Shengking, L'Astrolabe, and Siangtan in the South Pacific Ocean,...

  17. Oceanographic data collected aboard NOAA Ship Pisces in the Gulf of Mexico from 2010-07-15 to 2010-07-21 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0084593)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Oceanographic data were collected aboard NOAA Ship Pisces in the Gulf of Mexico from 2010-07-15 to 2010-07-21 in response to the Deepwater Horizon Oil Spill event on...

  18. The Oceanographic Multipurpose Software Environment (OMUSE v1.0

    Directory of Open Access Journals (Sweden)

    I. Pelupessy

    2017-08-01

    Full Text Available In this paper we present the Oceanographic Multipurpose Software Environment (OMUSE. OMUSE aims to provide a homogeneous environment for existing or newly developed numerical ocean simulation codes, simplifying their use and deployment. In this way, numerical experiments that combine ocean models representing different physics or spanning different ranges of physical scales can be easily designed. Rapid development of simulation models is made possible through the creation of simple high-level scripts. The low-level core of the abstraction in OMUSE is designed to deploy these simulations efficiently on heterogeneous high-performance computing resources. Cross-verification of simulation models with different codes and numerical methods is facilitated by the unified interface that OMUSE provides. Reproducibility in numerical experiments is fostered by allowing complex numerical experiments to be expressed in portable scripts that conform to a common OMUSE interface. Here, we present the design of OMUSE as well as the modules and model components currently included, which range from a simple conceptual quasi-geostrophic solver to the global circulation model POP (Parallel Ocean Program. The uniform access to the codes' simulation state and the extensive automation of data transfer and conversion operations aids the implementation of model couplings. We discuss the types of couplings that can be implemented using OMUSE. We also present example applications that demonstrate the straightforward model initialization and the concurrent use of data analysis tools on a running model. We give examples of multiscale and multiphysics simulations by embedding a regional ocean model into a global ocean model and by coupling a surface wave propagation model with a coastal circulation model.

  19. Near-realtime oceanographic profile data collected by XBT's aboard the Walton Smith from 20100607 to 20100610 as part of the GTSPP in response to the 20100420 Deepwater Horizon oil spill event (NODC Accession 0065727)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Data products and in situ oceanographic data collected in response to the Deepwater Horizon Event in the Gulf of Mexico (May 2010). The Global Temperature and...

  20. Progress on Oceanographic Tables and Standards 1983-1986: Work and Recommendations of the Unesco/SCOR/ICES/IAPSO Joint Panel. Unesco Technical Papers in Marine Science No. 50.

    Science.gov (United States)

    United Nations Educational, Scientific, and Cultural Organization, Paris (France). Div. of Marine Sciences.

    The present document covers activities carried out by and under the auspices of the Joint Panel on Oceanographic Tables and Standards (JPOTS) over the period of 1983-1986. The first part is the report of the Chairman of JPOTS on the activities of the Panel during the period 1983-1985. Two major topics were considered by the Panel: (1) the…

  1. Habitat Modeling and Preferences of Marine Mammals as Function of Oceanographic Characteristics: Development of Predictive Tools for Assessing the Risks and the Impacts Due to Sound Emissions

    Science.gov (United States)

    2011-09-30

    evaluate WEC projects in the perspective of the environmental cost-benefit analysis. Proceedings of the ISOPE 2011, Maui, Hawaii, USA 19-24 June, 2011...Function of Oceanographic Characteristics: Development of Predictive Tools for Assessing the Risks and the Impacts Due to Sound Emissions Dr...detections) and the available environmental predictors; - Creating the knowledge-based background about potential mitigation measures appropriate for

  2. Temperature profiles from mechanical bathythermograph (MBT) casts from the USS ENDURANCE in the South China Sea in support of the Fleet Observations of Oceanographic Data (FLOOD) project for 1964-05-02 (NODC Accession 6400832)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — MBT data were collected from the USS ENDURANCE in support of the Fleet Observations of Oceanographic Data (FLOOD) project. Data were collected by US Navy; Ships of...

  3. Temperature profiles from mechanical bathythermograph (MBT) casts from the USS PLUCK in the North Pacific Ocean in support of the Fleet Observations of Oceanographic Data (FLOOD) project on 1966-02-12 (NODC Accession 6600559)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — MBT data were collected from the USS PLUCK in support of the Fleet Observations of Oceanographic Data (FLOOD) project. Data were collected in the North Pacific Ocean...

  4. Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-28 to 2010-08-09 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0084586)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-28 to 2010-08-09 in response to the Deepwater Horizon Oil Spill...

  5. Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-08-13 to 2010-08-23 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0084587)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-08-13 to 2010-08-23 in response to the Deepwater Horizon Oil Spill...

  6. Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-14 to 2010-07-19 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0084583)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-14 to 2010-07-19 in response to the Deepwater Horizon Oil Spill...

  7. Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-06-09 to 2010-06-16 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0084578)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-06-09 to 2010-06-16 in response to the Deepwater Horizon Oil Spill...

  8. Unknown oceanographic data collected aboard the Ridley Thomas in the Gulf of Mexico from 2010-06-26 to 2010-06-29 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0084612)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Unknown oceanographic data were collected aboard the Ridley Thomas in the Gulf of Mexico from 2010-06-26 to 2010-06-29 in response to the Deepwater Horizon Oil Spill...

  9. Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-21 to 2010-07-23 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0084584)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-21 to 2010-07-23 in response to the Deepwater Horizon Oil Spill...

  10. Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-06-07 to 2010-06-09 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0084576)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-06-07 to 2010-06-09 in response to the Deepwater Horizon Oil Spill...

  11. Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-06-18 to 2010-06-23 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0084579)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-06-18 to 2010-06-23 in response to the Deepwater Horizon Oil Spill...

  12. Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-06-05 to 2010-06-07 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0084569)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-06-05 to 2010-06-07 in response to the Deepwater Horizon Oil Spill...

  13. Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-01 to 2010-07-09 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0084581)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-01 to 2010-07-09 in response to the Deepwater Horizon Oil Spill...

  14. Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-25 to 2010-07-28 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0084585)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-25 to 2010-07-28 in response to the Deepwater Horizon Oil Spill...

  15. Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-06-24 to 2010-06-29 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0084580)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-06-24 to 2010-06-29 in response to the Deepwater Horizon Oil Spill...

  16. Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-08-27 to 2010-09-01 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0084588)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-08-27 to 2010-09-01 in response to the Deepwater Horizon Oil Spill...

  17. Oceanographic and surface meteorological data collected from Holland Buoy by LimnoTech and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2014-07-01 to 2017-08-31 (NODC Accession 0123650)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0123650 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  18. PCs and networking for oceanographic research vessels

    Digital Repository Service at National Institute of Oceanography (India)

    Desai, R.G.P.; Desa, E.; Vithayathil, G.

    on IBM PC compatibles. The computers are located in different laboratories and are dedicated to data collection from one or more instruments. They are integratEd. by a local area network for real time sharing and integration of data. The special...

  19. Second International Workshop on Software Engineering and Code Design in Parallel Meteorological and Oceanographic Applications

    Science.gov (United States)

    OKeefe, Matthew (Editor); Kerr, Christopher L. (Editor)

    1998-01-01

    This report contains the abstracts and technical papers from the Second International Workshop on Software Engineering and Code Design in Parallel Meteorological and Oceanographic Applications, held June 15-18, 1998, in Scottsdale, Arizona. The purpose of the workshop is to bring together software developers in meteorology and oceanography to discuss software engineering and code design issues for parallel architectures, including Massively Parallel Processors (MPP's), Parallel Vector Processors (PVP's), Symmetric Multi-Processors (SMP's), Distributed Shared Memory (DSM) multi-processors, and clusters. Issues to be discussed include: (1) code architectures for current parallel models, including basic data structures, storage allocation, variable naming conventions, coding rules and styles, i/o and pre/post-processing of data; (2) designing modular code; (3) load balancing and domain decomposition; (4) techniques that exploit parallelism efficiently yet hide the machine-related details from the programmer; (5) tools for making the programmer more productive; and (6) the proliferation of programming models (F--, OpenMP, MPI, and HPF).

  20. Summary of oceanographic and water-quality measurements near the Blackwater National Wildlife Refuge, Maryland, 2011

    Science.gov (United States)

    Ganju, Neil K.; Dickhudt, Patrick J.; Montgomery, Ellyn T.; Brennand, Patrick; Derby, R. Kyle; Brooks, Thomas W.; Guntenspergen, Glenn R.; Martini, Marinna A.; Borden, Jonathan; Baldwin, Sandra M.

    2012-01-01

    Suspended-sediment transport is a critical element governing the geomorphology of tidal marshes. Marshes rely on both organic material and inorganic sediment deposition to maintain their elevation relative to sea level. In wetlands near the Blackwater National Wildlife Refuge, Maryland, portions of the salt marsh have been subsiding relative to sea level since the early 20th century. Other portions of the marsh have been successful at maintaining elevation. The U.S. Geological Survey performed observational deployments to measure suspended-sediment concentration in the tidal channels in order to understand the magnitude of suspended-sediment concentrations, the sediment-transport mechanisms, and differences between two marsh areas, one that subsided and one that maintained elevation. We deployed optical turbidity sensors and acoustic velocity meters at multiple sites over two periods in 2011. This report presents the time-series of oceanographic data collected during those field studies, including velocity, depth, turbidity, salinity, water temperature, and pH.

  1. Autonomous Acoustic Receiver System

    Data.gov (United States)

    Federal Laboratory Consortium — FUNCTION: Collects underwater acoustic data and oceanographic data. Data are recorded onboard an ocean buoy and can be telemetered to a remote ship or shore station...

  2. Oceanographic data collected during the EX1605L2 (CAPSTONE CNMI & Mariana Trench MNM (Mapping)) on NOAA Ship OKEANOS EXPLORER in the North Pacific Ocean from 2016-05-20 to 2016-06-11 (NCEI Accession 0155917)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset contains oceanographic data collected in the Commonwealth of the Northern Marianas Islands (CNMI), beginning in Mutan, Saipan and concluding in Santa...

  3. Oceanographic data collected during the EX1503L1 (Tropical Exploration (Mapping I)) expedition on NOAA Ship OKEANOS EXPLORER in the North Atlantic Ocean from 2015-05-08 to 2015-05-13 (NCEI Accession 0129880)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Multibeam data was collected 24 hours a day and XBT casts were conducted at an interval defined by prevailing oceanographic conditions, not to exceed 6 hours....

  4. Near-realtime oceanographic profile data collected by AXBT's and AXCTD's from NOAA Aircraft from 20100508 to 20100724 as part of the GTSPP in response to the 20100420 Deepwater Horizon oil spill event (NODC Accession 0065723)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Data products and in situ oceanographic data collected in response to the Deepwater Horizon Event in the Gulf of Mexico (May 2010). The Global Temperature and...

  5. Physical and profile oceanographic data collected aboard the ENDEAVOR in the Gulf of Mexico from 2010-06-17 to 2010-06-30 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0084592)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Physical and profile oceanographic data were collected aboard the ENDEAVOR in the Gulf of Mexico from 2010-06-17 to 2010-06-30 in response to the Deepwater Horizon...

  6. Unknown oceanographic data collected aboard NOAA Ship THOMAS JEFFERSON in the Gulf of Mexico from 2010-05-23 to 2010-05-28 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0084596)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Unknown oceanographic data were collected aboard NOAA Ship THOMAS JEFFERSON in the Gulf of Mexico from 2010-05-23 to 2010-05-28 in response to the Deepwater Horizon...

  7. Web catalog of oceanographic data using GeoNetwork

    Science.gov (United States)

    Marinova, Veselka; Stefanov, Asen

    2017-04-01

    Most of the data collected, analyzed and used by Bulgarian oceanographic data center (BgODC) from scientific cruises, argo floats, ferry boxes and real time operating systems are spatially oriented and need to be displayed on the map. The challenge is to make spatial information more accessible to users, decision makers and scientists. In order to meet this challenge, BgODC concentrate its efforts on improving dynamic and standardized access to their geospatial data as well as those from various related organizations and institutions. BgODC currently is implementing a project to create a geospatial portal for distributing metadata and search, exchange and harvesting spatial data. There are many open source software solutions able to create such spatial data infrastructure (SDI). Finally, the GeoNetwork open source is chosen, as it is already widespread. This software is free, effective and "cheap" solution for implementing SDI at organization level. It is platform independent and runs under many operating systems. Filling of the catalog goes through these practical steps: • Managing and storing data reliably within MS SQL spatial data base; • Registration of maps and data of various formats and sources in GeoServer (most popular open source geospatial server embedded with GeoNetwork) ; • Filling added meta data and publishing geospatial data at the desktop of GeoNetwork. GeoServer and GeoNetwork are based on Java so they require installing of a servlet engine like Tomcat. The experience gained from the use of GeoNetwork Open Source confirms that the catalog meets the requirements for data management and is flexible enough to customize. Building the catalog facilitates sustainable data exchange between end users. The catalog is a big step towards implementation of the INSPIRE directive due to availability of many features necessary for producing "INSPIRE compliant" metadata records. The catalog now contains all available GIS data provided by BgODC for Internet

  8. Design Patterns to Achieve 300x Speedup for Oceanographic Analytics in the Cloud

    Science.gov (United States)

    Jacob, J. C.; Greguska, F. R., III; Huang, T.; Quach, N.; Wilson, B. D.

    2017-12-01

    We describe how we achieve super-linear speedup over standard approaches for oceanographic analytics on a cluster computer and the Amazon Web Services (AWS) cloud. NEXUS is an open source platform for big data analytics in the cloud that enables this performance through a combination of horizontally scalable data parallelism with Apache Spark and rapid data search, subset, and retrieval with tiled array storage in cloud-aware NoSQL databases like Solr and Cassandra. NEXUS is the engine behind several public portals at NASA and OceanWorks is a newly funded project for the ocean community that will mature and extend this capability for improved data discovery, subset, quality screening, analysis, matchup of satellite and in situ measurements, and visualization. We review the Python language API for Spark and how to use it to quickly convert existing programs to use Spark to run with cloud-scale parallelism, and discuss strategies to improve performance. We explain how partitioning the data over space, time, or both leads to algorithmic design patterns for Spark analytics that can be applied to many different algorithms. We use NEXUS analytics as examples, including area-averaged time series, time averaged map, and correlation map.

  9. Low-Frequency Oceanographic Variability Near Flemish Cap and Sackville Spur

    Science.gov (United States)

    Layton, Chantelle; Greenan, Blair J. W.; Hebert, Dave; Kelley, Dan E.

    2018-03-01

    To address a need for science-based advice on issues of resource exploration, two oceanographic moorings were placed on the abyssal slope of northwest Flemish Cap from July 2013 to July 2014. These yielded some of the first long-term moored measurements of velocity, temperature, and salinity in the region. Hydrographic and lowered-ADCP measurements made during mooring deployment and recovery reveal that the deep Labrador Current flows approximately along isobaths between water depths of 1,200 and 2,200 m. However, these snapshots differ significantly, with stronger currents observed during the deployment survey. The mooring data, obtained near the 1,500 m isobath, reveal a complex temporal variation of the current. The velocity spectrum is dominated by a peak at a period of approximately 21 days, with power increasing with depth in the water column and varying through the year. In other boundary-current studies, variations in the several-week band have been attributed to baroclinic topographic Rossby waves, but with just two widely spaced moorings, we cannot infer the wave number and test for such waves using the dispersion relationship. However, an indirect estimate of wave number can be made by examining the variation of spectral power with depth, and doing this yields results that are reasonably consistent with a linear theory of baroclinic topographic Rossby waves for water of constant stratification over a planar slope. This agreement is somewhat surprising, given the simplicity of the theory and the complexity of the domain, but it appears to offer a clear indication of the importance of baroclinic vorticity dynamics in this region.

  10. Chemical and physical oceanographic profile data collected from CTD casts aboard the American Diver in the Gulf of Mexico on 2010-08-04 in response to the Deepwater Horizon oil spill event (NODC Accession 0069088)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical and physical oceanographic profile data were collected aboard the American Diver in the Gulf of Mexico on 2010-08-04 in response to the Deepwater Horizon...

  11. The NOSAMS sample preparation laboratory in the next millenium: Progress after the WOCE program

    Energy Technology Data Exchange (ETDEWEB)

    Gagnon, Alan R. E-mail: agagnon@whoi.edu; McNichol, Ann P.; Donoghue, Joanne C.; Stuart, Dana R.; Reden, Karl von

    2000-10-01

    Since 1991, the primary charge of the National Ocean Sciences AMS (NOSAMS) facility at the Woods Hole Oceanographic Institution has been to supply high throughput, high precision AMS {sup 14}C analyses for seawater samples collected as part of the World Ocean Circulation Experiment (WOCE). Approximately 13,000 samples taken as part of WOCE should be fully analyzed by the end of Y2K. Additional sample sources and techniques must be identified and incorporated if NOSAMS is to continue in its present operation mode. A trend in AMS today is the ability to routinely process and analyze radiocarbon samples that contain tiny amounts (<100 {mu}g) of carbon. The capability to mass-produce small samples for {sup 14}C analysis has been recognized as a major facility goal. The installation of a new 134-position MC-SNICS ion source, which utilizes a smaller graphite target cartridge than presently used, is one step towards realizing this goal. New preparation systems constructed in the sample preparation laboratory (SPL) include an automated bank of 10 small-volume graphite reactors, an automated system to process organic carbon samples, and a multi-dimensional preparative capillary gas chromatograph (PCGC)

  12. Water temperature, salinity, and other data collected from R/V Thomas G. Thompson in Pacific Ocean near San Diego, California from 2016-02-13 to 2016-02-19 (NCEI Accession 0161328)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Beginning in 2011 the University National Oceanographic Laboratory System (UNOLS) began a program of Chief Scientist training cruises to introduce prospective early...

  13. Oceanographic data and information collected during the EX1705 American Samoa, Kingman/Palmyra, Jarvis (ROV & Mapping) expedition on NOAA Ship OKEANOS EXPLORER in the Pacific Ocean from 2017-04-27 to 2017-05-19 (NCEI Accession 0163984)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset contains oceanographic data collected in several marine protected areas between Pago Pago, American Samoa and Honolulu, Hawaii. Operations included the...

  14. Oceanographic and surface meteorological data collected from MTU Buoy by Michigan Technological University and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2014-07-01 to 2017-09-01 (NODC Accession 0123644)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0123644 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  15. Unknown oceanographic data collected aboard NOAA Ship DELAWARE II in the Gulf of Mexico from 2010-07-14 to 2010-07-24 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0084595)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Unknown oceanographic data were collected aboard NOAA Ship DELAWARE II in the Gulf of Mexico from 2010-07-14 to 2010-07-24 in response to the Deepwater Horizon Oil...

  16. Partial pressure (or fugacity) of carbon dioxide, temperature, salinity and other variables collected from surface underway observations using carbon dioxide gas analyzer, shower head equilibrator and other instruments from SOOP M/V Las Cuevas cruises in the Gulf of Mexico and Caribbean Sea from 2009-09-12 to 2009-10-28 (NCEI Accession 0162030)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In 2009, the Global Carbon Group at NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML), in collaboration with Methanol Holdings LTD and the National...

  17. Partial pressure (or fugacity) of carbon dioxide, temperature, salinity and other variables collected from surface underway observations using carbon dioxide gas analyzer, shower head equilibrator and other instruments from SOOP M/V Las Cuevas cruises in the North Atlantic Ocean, Gulf of Mexico and Caribbean Sea from 2011-01-06 to 2011-12-31 (NCEI Accession 0162099)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In 2009, the Global Carbon Group at NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML), in collaboration with Methanol Holdings LTD and the National...

  18. Partial pressure (or fugacity) of carbon dioxide, temperature, salinity and other variables collected from the coastal surface underway observations using carbon dioxide gas analyzer, shower head equilibrator and other instruments from NOAA Ship Gordon Gunter in the North Atlantic Ocean, US North-East coast during 2017 (NCEI Accession 0163566)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In March, 2008, the Ocean Carbon Cycle (OCC) group at NOAA's Atlantic Oceanographic and Meteorological Laboratory (AOML) installed an underway system to measure...

  19. Oceanographic Station Data and temperature profiles from bottle and XBT casts from the DOLPHIN as part of the Marine Resources Monitoring, Assessment and Prediction (MARMAP) from 1975-08-31 to 1975-09-19 (NODC Accession 7600375)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Oceanographic Station Data and temperature profiles were collected from bottle and XBT casts from the DOLPHIN from 31 August 1975 to 19 September 1975. Data were...

  20. Oceanographic Station Data and temperature profiles from bottle and XBT casts from the DOLPHIN as part of the Marine Resources Monitoring, Assessment and Prediction (MARMAP) from 1975-04-17 to 1976-02-07 (NODC Accession 7600888)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Oceanographic Station Data and temperature profiles were collected from bottle and XBT casts from the DOLPHIN from 17 April 1975 to 07 February 1976. Data were...

  1. Oceanographic Station Data and temperature profiles from bottle and XBT casts from the DOLPHIN as part of the Marine Resources Monitoring, Assessment and Prediction (MARMAP) from 1977-01-18 to 1977-05-22 (NODC Accession 7800595)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Oceanographic Station Data and temperature profiles were collected from bottle and XBT casts from the DOLPHIN from 18 January 1977 to 22 May 1977. Data were...

  2. Oceanographic Station Data and temperature profiles from XBT and bottle casts from the DOLPHIN as part of the Marine Resources Monitoring, Assessment and Prediction (MARMAP) from 1975-12-03 to 1975-12-06 (NODC Accession 7600754)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Oceanographic Station Data and temperature profiles were collected from XBT and bottle casts from the DOLPHIN from 03 December 1975 to 06 December 1975. Data were...

  3. Oceanographic Station Data and temperature profiles from XBT and bottle casts from the DOLPHIN as part of the Marine Resources Monitoring, Assessment and Prediction (MARMAP) from 1976-08-28 to 1976-09-21 (NODC Accession 7700036)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Oceanographic Station Data and temperature profiles were collected from XBT and bottle casts from the DOLPHIN from 28 August 1976 to 21 September 1976. Data were...

  4. Chemical, physical and profile oceanographic data collected aboard the PELICAN in the Gulf of Mexico from 2010-05-10 to 2010-07-21 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069087)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical and profile oceanographic data were collected aboard the PELICAN in the Gulf of Mexico from 2010-05-10 to 2010-07-21 in response to the Deepwater...

  5. Physical and profile oceanographic data collected aboard the WEATHERBIRD II in the Gulf of Mexico from 2010-05-22 to 2010-05-27 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0084597)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Physical and profile oceanographic data were collected aboard the WEATHERBIRD II in the Gulf of Mexico from 2010-05-22 to 2010-05-27 in response to the Deepwater...

  6. The use of nuclear powered submarines for oceanographic research in ICE covered regions

    International Nuclear Information System (INIS)

    Sambrotto, Raymond; Chayes, Dale

    2000-01-01

    Nuclear powered submarines offer a variety of advantages as platforms for oceanographic research. Their speed and ability to remain submerged for extended periods greatly extends their spatial coverage and isolates them from surface ocean conditions as compared to conventional ships. These advantages are particularly obvious in ice covered oceans that remain among the least explored regions on the globe. Scientific research in these regions has been limited to selected seasons and places where ice conditions are favorable for available observational platforms. However, much broader scientific observations are needed to assess such impacts as pollutants and possible climate variations on polar regions. To overcome some of the observational limitations of surface ships in the Arctic, the U.S. Navy made available nuclear powered submarines for civilian oceanographic research during the Scientific Ice Expedition (Scicex) program from 1993 to 1999. Together, these cruises sampled along more than 85,000 km of track throughout the international waters of the Arctic Ocean during selected periods from March to October. This sampling forms the basis of the present analysis of the limitations and capabilities of nuclear submarines as observational platforms for scientific research. Scientific observations were made in four general disciplines: ocean physics; biology and chemistry; sea ice; and marine geology and geophysics. Sampling of ocean biology and chemistry was most constrained because the water samples typically required in such studies were limited to the operating depths of the submarine. However, the surface 250 m contains all of the biological production, as well as informative chemical tracers for the flow of Atlantic and Pacific water masses. Measurements of ocean physics were less constrained because in addition to the on-board measurements, expendable probes are available to sample water depths inaccessible to the submarine. The submarine proved to be an

  7. Oceanographic conditions in the NEMO region during the KM3NeT project (April 2006-May 2009)

    International Nuclear Information System (INIS)

    Sparnocchia, Stefania; Pietro Gasparini, Gian; Schroeder, Katrin; Borghini, Mireno

    2011-01-01

    An intense observational activity was conducted in the NEMO region, western Ionian Sea, 40 nm south-east of Capo Passero (Sicily), in the framework of the KM3NeT project. Several oceanographic cruises were performed from 2006 to 2009 and current measurements carried out. The new data describe the present status of the deep layer and its evolution after the occurrence of a notable change that affected the Eastern Mediterranean water masses and circulation during the 1990's. In particular, they evidence the presence of a newly formed water mass in the abyssal layer of the Ionian Sea, coming likely from the Adriatic. Deep currents in the region are quite energetic, as already known, and highly variable both spatially and in strength. They are organized in a cyclonic circuit, with a prevalent north-west direction corresponding to the NEMO site.

  8. Oceanographic and surface meteorological data collected from MTU1 Buoy by Michigan Technological University and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2014-07-01 to 2017-08-31 (NODC Accession 0123646)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0123646 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  9. Chemical, physical, profile and other oceanographic data collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-08-24 to 2010-09-10 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0070532)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile, meteorological, navigational and underway oceanographic data were collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from...

  10. Oceanographic and surface meteorological data collected from Oregon Pump Station by City of Oregon and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2015-06-20 to 2017-08-31 (NCEI Accession 0130547)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0130547 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  11. Oceanographic and surface meteorological data collected from station 45165, Monroe, MI, by LimnoTech and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2014-08-07 to 2017-08-31 (NODC Accession 0123661)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0123661 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  12. Oceanographic data collected during the EX1404L1 (Shakedown and Mapping, NE Seamounts) expedition on NOAA Ship OKEANOS EXPLORER in the North Atlantic Ocean from 2014-08-09 to 2014-08-30 (NCEI Accession 0121584)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Multibeam, single beam, and subbottom sonar data will be collected 24 hours a day and XBT casts will be conducted at an interval defined by prevailing oceanographic...

  13. Oceanographic data collected during the EX1503L2 (Tropical Exploration (Mapping II)) expedition on NOAA Ship OKEANOS EXPLORER in the North Pacific Ocean from 2015-05-16 to 2015-06-24 (NCEI Accession 0129881)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — During EX-15-03L2, multibeam data was collected 24 hours a day and XBT casts were conducted at an interval defined by prevailing oceanographic conditions, but not to...

  14. Partial pressure (or fugacity) of carbon dioxide, temperature, salinity and other variables collected from the coastal surface underway observations using carbon dioxide gas analyzer, shower head equilibrator and other instruments from NOAA Ship Henry B. Bigelow in the North Atlantic Ocean, US North East coast from 2014-03-29 to 2014-11-13 (NCEI Accession 0162228)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In February 2011, the Ocean Carbon Group at NOAA's Atlantic Oceanographic and Meteorological Laboratory (AOML) installed an instrument to measure CO2 levels in...

  15. Partial pressure (or fugacity) of carbon dioxide, temperature, salinity and other variables collected from the coastal surface underway observations using carbon dioxide gas analyzer, shower head equilibrator and other instruments from NOAA Ship Henry B. Bigelow in the North Atlantic Ocean, US North East coast from 2013-03-14 to 2013-11-19 (NCEI Accession 0162209)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In February 2011, the Ocean Carbon Group at NOAA's Atlantic Oceanographic and Meteorological Laboratory (AOML) installed an instrument to measure CO2 levels in...

  16. Partial pressure (or fugacity) of carbon dioxide, temperature, salinity and other variables collected from the coastal surface underway observations using carbon dioxide gas analyzer, shower head equilibrator and other instruments from NOAA Ship Henry B. Bigelow in the North Atlantic Ocean, US North-East coast in 2017 (NCEI Accession 0162290)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In February 2011, the Ocean Carbon Group at NOAA's Atlantic Oceanographic and Meteorological Laboratory (AOML) installed an instrument to measure CO2 levels in...

  17. Partial pressure (or fugacity) of carbon dioxide, temperature, salinity and other variables collected from surface underway observations using carbon dioxide gas analyzer, shower head equilibrator and other instruments from SOOP M/V Equinox in the Caribbean Sea and North Atlantic Ocean in 2017 (NCEI Accession 0161868)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In 2015, the Ocean Carbon Group at NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML) installed an autonomous instrument to measure CO2 levels in...

  18. Partial pressure (or fugacity) of carbon dioxide, temperature, salinity and other variables collected from surface underway observations using carbon dioxide gas analyzer, shower head equilibrator and other instruments from SOOP C/S Allure of the Seas in the Caribbean Sea, Gulf of Mexico and North Atlantic Ocean in 2017 (NCEI Accession 0161619)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In 2015, the Ocean Carbon Group at NOAA's Atlantic Oceanographic and Meteorological Laboratory (AOML) installed an autonomous instrument to measure CO2 levels in...

  19. Research combines with public outreach on a cruise ship

    Science.gov (United States)

    Williams, Elizabeth; Prager, Ellen; Wilson, Doug

    An innovative partnership among academia, government, and private industry has created a unique opportunity for oceanographic and meteorological research on a cruise ship. The University of Miami's Rosenstiel School of Marine and Atmospheric Science, Royal Caribbean International, the National Oceanic and Atmospheric Administration's Atlantic Oceanographic and Meteorological Laboratory the National Science Foundation, and the U.S. Office of Naval Research have collaborated to establish two modern laboratories for oceanic and atmospheric research on the 142,000-ton Royal Caribbean ship Explorer of the Seas.The Explorer of the Seas combines extensive research capabilities with public outreach. Hundreds of passengers experience the planet's atmosphere-ocean systems through laboratory tours and presentations given by experienced guest scientists and graduate students. In addition to weekly public lectures, guided tours of the ocean and atmospheric laboratories are available, and ocean-related films are shown during selected afternoons. Two interactive eco-learning areas onboard are equipped with a series of interactive displays and large informational touch screens that illustrate marine and atmospheric concepts as well as the onboard research program.

  20. An International Coordinated Effort to Further the Documentation & Development of Quality Assurance, Quality Control, and Best Practices for Oceanographic Observations

    Science.gov (United States)

    Bushnell, M.; Waldmann, C.; Hermes, J.; Tamburri, M.

    2017-12-01

    Many oceanographic observation groups create and maintain QA, QC, and best practices (BP) to ensure efficient and accurate data collection and quantify quality. Several entities - IOOS® QARTOD, AtlantOS, ACT, WMO/IOC JCOMM OCG - have joined forces to document existing practices, identify gaps, and support development of emerging techniques. While each group has a slightly different focus, many underlying QA/QC/BP needs can be quite common. QARTOD focuses upon real-time data QC, and has produced manuals that address QC tests for eleven ocean variables. AtlantOS is a research and innovation project working towards the integration of ocean-observing activities across all disciplines in the Atlantic Basin. ACT brings together research institutions, resource managers, and private companies to foster the development and adoption of effective and reliable sensors for coastal, freshwater, and ocean environments. JCOMM promotes broad international coordination of oceanographic and marine meteorological observations and data management and services. Leveraging existing efforts of these organizations is an efficient way to consolidate available information, develop new practices, and evaluate the use of ISO standards to judge the quality of measurements. ISO standards may offer accepted support for a framework for an ocean data quality management system, similar to the meteorological standards defined by WMO (https://www.wmo.int/pages/prog/arep/gaw/qassurance.html). We will first cooperatively develop a plan to create a QA/QC/BP manual. The resulting plan will describe the need for such a manual, the extent of the manual, the process used to engage the community in creating it, the maintenance of the resultant document, and how these things will be done. It will also investigate standards for metadata. The plan will subsequently be used to develop the QA/QC/BP manual, providing guidance which advances the standards adopted by IOOS, AtlantOS, JCOMM, and others.

  1. Oceanographic data and information collected during the EX1703 Howland/Baker PRIMNM and PIPA (ROV/Mapping) expedition on NOAA Ship OKEANOS EXPLORER in the South Pacific Ocean from 2017-03-07 to 2017-03-29 (NCEI Accession 0162616)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset contains oceanographic data collected in Apia, Samoa. Operations were conducted within several marine protected areas and included the use of the...

  2. Oceanographic Station, temperature profiles, and other data from XBT and bottle casts from the DOLPHIN as part of the Marine Resources Monitoring, Assessment and Prediction (MARMAP) from 1973-02-12 to 1973-03-23 (NODC Accession 7300813)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Oceanographic Station,temperature profiles, and other data were collected from XBT and bottle casts from the DOLPHIN from 12 February 1973 to 23 March 1973. Data...

  3. Oceanographic Station, temperature profiles, and other data from XBT and bottle casts from the DOLPHIN as part of the Marine Resources Monitoring, Assessment and Prediction (MARMAP) from 1975-01-17 to 1975-04-10 (NODC Accession 7500672)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Oceanographic Station, temperature profiles, and other data were collected from XBT and bottle casts from the DOLPHIN from 17 January 1975 to 10 April 1975. Data...

  4. Oceanographic Station, temperature profiles, and other data from bottle and XBT casts from the DOLPHIN as part of the Marine Resources Monitoring, Assessment and Prediction (MARMAP) from 1974-08-13 to 1974-09-18 (NODC Accession 7400814)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Oceanographic Station, temperature profiles, and other data were collected from bottle and XBT casts from the DOLPHIN from 13 August 1974 to 18 September 1974. Data...

  5. A revised oceanographic model to calculate the limiting capacity of the ocean to accept radioactive waste

    International Nuclear Information System (INIS)

    Webb, G.A.M.; Grimwood, P.D.

    1976-12-01

    This report describes an oceanographic model which has been developed for the use in calculating the capacity of the oceans to accept radioactive wastes. One component is a relatively short-term diffusion model which is based on that described in an earlier report (Webb et al., NRPB-R14(1973)), but which has been generalised to some extent. Another component is a compartment model which is used to calculate long-term widespread water concentrations. This addition overcomes some of the short comings of the earlier diffusion model. Incorporation of radioactivity into deep ocean sediments is included in this long-term model as a removal mechanism. The combined model is used to provide a conservative (safe) estimate of the maximum concentrations of radioactivity in water as a function of time after the start of a continuous disposal operation. These results can then be used to assess the limiting capacity of an ocean to accept radioactive waste. (author)

  6. Chemical, physical and profile oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-05-26 to 2010-05-30 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069092)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical and profile oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-05-26 to 2010-05-30 in response to the...

  7. Chemical, physical and profile oceanographic data collected aboard NOAA Ship PISCES in the Gulf of Mexico from 2010-07-05 to 2010-08-14 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069111)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical and profile oceanographic data were collected aboard NOAA Ship PISCES in the Gulf of Mexico from 2010-07-05 to 2010-08-14 in response to the...

  8. Chemical, physical and profile oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-09-09 to 2010-09-15 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069126)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical and profile oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-09-09 to 2010-09-15 in response to the...

  9. Chemical, physical and profile oceanographic data collected aboard NOAA Ship Pisces in the Gulf of Mexico from 2010-08-18 to 2010-09-02 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069112)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical and profile oceanographic data were collected aboard NOAA Ship Pisces in the Gulf of Mexico from 2010-08-18 to 2010-09-02 in response to the...

  10. Chemical, physical and profile oceanographic data collected aboard the CAPE HATTERAS in the Gulf of Mexico from 2010-08-21 to 2010-09-02 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069058)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical and profile oceanographic data were collected aboard the CAPE HATTERAS in the Gulf of Mexico from 2010-08-21 to 2010-09-02 in response to the...

  11. Chemical, physical and profile oceanographic data collected aboard NOAA Ship Pisces in the Gulf of Mexico from 2010-09-09 to 2010-09-17 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069113)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical and profile oceanographic data were collected aboard NOAA Ship Pisces in the Gulf of Mexico from 2010-09-09 to 2010-09-17 in response to the...

  12. Chemical, physical and profile oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-11 to 2010-07-13 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0084582)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical and profile oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-11 to 2010-07-13 in response to the...

  13. Chemical, physical and profile oceanographic data collected aboard the CAPE HATTERAS in the Gulf of Mexico from 2010-09-04 to 2010-09-15 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069059)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical and profile oceanographic data were collected aboard the CAPE HATTERAS in the Gulf of Mexico from 2010-09-04 to 2010-09-15 in response to the...

  14. Chemical, physical and profile oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-09-04 to 2010-09-08 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069120)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical and profile oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-09-04 to 2010-09-08 in response to the...

  15. Profile and underway oceanographic data collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-07-21 to 2010-07-24 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0081186)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Profile and underway oceanographic data were collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-07-21 to 2010-07-24 in response to the...

  16. Multi-sensor Oceanographic Correlations for Pacific Hake Acoustic Survey Improvement

    Science.gov (United States)

    Brozen, M.; Hillyer, N.; Holt, B.; Armstrong, E. M.

    2010-12-01

    North Pacific hake (Merluccius productus), the most abundant groundfish along the Pacific coast of northwestern America, are an essential source of income for the coastal region from southern California to British Columbia, Canada. However, hake abundance and distribution are highly variable among years, exhibiting variance in both the north-south and east-west distribution as seen in the results from biannual acoustic surveys. This project is part of a larger undertaking, ultimately focused on the prediction of hake distribution to improve the distribution of survey effort and precision of stock assessments in the future. Four remotely sensed oceanographic variables are examined as a first step in improving our understanding the relationship between the intensity of coastal upwelling and other ocean dynamics, and the north-south summer hake distribution. Sea surface height, wind vectors, chlorophyll - a concentrations, and sea surface temperature were acquired from several satellites, including AVHRR, SeaWifs, TOPEX/Poseidon, Jason-1, Jason-2, SSM/I, ASMR-E, and QuikScat. Data were aligned to the same spatial and temporal resolution, and these re-gridded data were then analyzed using empirical orthogonal functions (EOFs). EOFs were used as a spatio-temporally compact representation of the data and to reduce the co-variability of the multiple time series in the dataset. The EOF results were plotted and acoustic survey results were overlaid to understand differences between regions. Although this pilot project used data from only a single year (2007), it demonstrated a methodology for reducing dimensionality of linearly related satellite variables that can used in future applications, and provided insight into multi-dimensional ocean characteristics important for hake distribution.

  17. Oceanographic station, temperature profiles, meteorological, and other data from bottle and XBT from the DOLPHIN as part of the Marine Resources Monitoring, Assessment and Prediction (MARMAP) project from 1974-01-09 to 1974-01-12 (NODC Accession 7400287)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Oceanographic station, temperature profiles, meteorological, and other data were collected from bottle and XBT casts from the DOLPHIN from 09 January 1974 to 12...

  18. Oceanographic and surface meteorological data collected from station Sandusky Bay by Bowling Green State University and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2015-07-04 to 2017-08-31 (NCEI Accession 0155656)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0155656 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  19. Oceanographic and surface meteorological data collected from station ATW20 by University of Wisconsin-Milwaukee and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2014-07-01 to 2017-08-31 (NODC Accession 0123639)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0123639 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  20. Oceanographic and surface meteorological data collected from 45171, Granite Island Buoy, by Northern Michigan University and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2015-07-09 to 2017-08-31 (NCEI Accession 0130588)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0130588 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  1. Oceanographic and surface meteorological data collected from Toledo Low Service Pump Station by LimnoTech and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2015-05-12 to 2017-08-31 (NCEI Accession 0130072)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0130072 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  2. Oceanographic and surface meteorological data collected from station Little Cedar Point by University of Toledo and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2015-07-03 to 2017-08-31 (NCEI Accession 0155545)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0155545 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  3. Oceanographic Station, temperature profiles, and other data from XBT and bottle casts from the DOLPHIN as part of the Marine Resources Monitoring, Assessment and Prediction (MARMAP) from 1974-04-01 to 1974-05-09 (NODC Accession 7400626)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Oceanographic Station, temperature profiles, and other data were collected from XBT and bottle casts from the DOLPHIN from 01 April 1974 to 09 May 1974. Data were...

  4. Temperature profiles from mechanical bathythermograph (MBT) casts from the USS LEADER in the Philippine Sea in support of the Fleet Observations of Oceanographic Data (FLOOD) project from 1967-02-17 to 1967-02-19 (NODC Accession 6700064)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — MBT data were collected from the USS LEADER in support of the Fleet Observations of Oceanographic Data (FLOOD) project. Data were collected by US Navy; Ships of...

  5. Physical and profile oceanographic data collected aboard NOAA Ship DELAWARE II in the Gulf of Mexico from 2010-06-26 to 2010-07-08 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0084591)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Physical and profile oceanographic data were collected aboard NOAA Ship DELAWARE II in the Gulf of Mexico from 2010-06-26 to 2010-07-08 in response to the Deepwater...

  6. Physical and profile oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-09-02 to 2010-09-06 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0084590)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Physical and profile oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-09-02 to 2010-09-06 in response to the Deepwater...

  7. Physical and profile oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-08-29 to 2010-09-02 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0084589)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Physical and profile oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-08-29 to 2010-09-02 in response to the Deepwater...

  8. Chemical, physical, profile and other oceanographic data collected aboard NOAA Ship THOMAS JEFFERSON in the Gulf of Mexico from 2010-06-03 to 2010-07-18 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069082)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical, profile, tows and underway oceanographic data were collected aboard NOAA Ship THOMAS JEFFERSON in the Gulf of Mexico from 2010-06-03 to...

  9. Oceanographic data and information collected during the EX1605L3 (CAPSTONE CNMI & Mariana Trench MNM (ROV & Mapping)) on NOAA Ship OKEANOS EXPLORER in the North Pacific Ocean from 2016-06-17 to 2016-07-10 (NCEI Accession 0156334)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset contains oceanographic data collected in the deep water areas around the Commonwealth of the Northern Marianas Islands (CNMI). Operations for this...

  10. Oceanographic and meteorological data measurements collected from CTD, bottle and other instruments from Gerda, J.E., Pillsbury and Calanus in the North Atlantic Ocean and Gulf of Mexico from 1967-02-24 to 1970-11-13 (NCEI Accession 7100821)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Oceanographic and meteorological data measurements collected from CTD, bottle and other instruments. Data were collected from Gerda, J.E., Pillsbury and Calanus in...

  11. Measuring the Value of Research Data: A Citation Analysis of Oceanographic Data Sets

    Science.gov (United States)

    Belter, Christopher W.

    2014-01-01

    Evaluation of scientific research is becoming increasingly reliant on publication-based bibliometric indicators, which may result in the devaluation of other scientific activities - such as data curation – that do not necessarily result in the production of scientific publications. This issue may undermine the movement to openly share and cite data sets in scientific publications because researchers are unlikely to devote the effort necessary to curate their research data if they are unlikely to receive credit for doing so. This analysis attempts to demonstrate the bibliometric impact of properly curated and openly accessible data sets by attempting to generate citation counts for three data sets archived at the National Oceanographic Data Center. My findings suggest that all three data sets are highly cited, with estimated citation counts in most cases higher than 99% of all the journal articles published in Oceanography during the same years. I also find that methods of citing and referring to these data sets in scientific publications are highly inconsistent, despite the fact that a formal citation format is suggested for each data set. These findings have important implications for developing a data citation format, encouraging researchers to properly curate their research data, and evaluating the bibliometric impact of individuals and institutions. PMID:24671177

  12. A Smart Web-Based Geospatial Data Discovery System with Oceanographic Data as an Example

    Directory of Open Access Journals (Sweden)

    Yongyao Jiang

    2018-02-01

    Full Text Available Discovering and accessing geospatial data presents a significant challenge for the Earth sciences community as massive amounts of data are being produced on a daily basis. In this article, we report a smart web-based geospatial data discovery system that mines and utilizes data relevancy from metadata user behavior. Specifically, (1 the system enables semantic query expansion and suggestion to assist users in finding more relevant data; (2 machine-learned ranking is utilized to provide the optimal search ranking based on a number of identified ranking features that can reflect users’ search preferences; (3 a hybrid recommendation module is designed to allow users to discover related data considering metadata attributes and user behavior; (4 an integrated graphic user interface design is developed to quickly and intuitively guide data consumers to the appropriate data resources. As a proof of concept, we focus on a well-defined domain-oceanography and use oceanographic data discovery as an example. Experiments and a search example show that the proposed system can improve the scientific community’s data search experience by providing query expansion, suggestion, better search ranking, and data recommendation via a user-friendly interface.

  13. Temperature profiles from mechanical bathythermograph (MBT) casts from the USS CONFLICT in the North Pacific Ocean in support of the Fleet Observations of Oceanographic Data (FLOOD) project from 1966-07-23 to 1966-08-02 (NODC Accession 6600087)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — MBT data were collected from the USS CONFLICT in support of the Fleet Observations of Oceanographic Data (FLOOD) project. Data were collected in the North Pacific...

  14. Chemical, physical and profile oceanographic data collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-07-25 to 2010-07-31 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0070332)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical and profile oceanographic data were collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-07-25 to 2010-07-31 in response to...

  15. Chemical, physical and profile oceanographic data collected aboard NOAA Ship THOMAS JEFFERSON in the Gulf of Mexico from 2010-06-15 to 2010-06-28 in response to the Deepwater Horizon Oil Spill event (NODC Accession 0069083)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, physical and profile oceanographic data were collected aboard NOAA Ship THOMAS JEFFERSON in the Gulf of Mexico from 2010-06-15 to 2010-06-28 in response to...

  16. Oceanographic and surface meteorological data collected from Avon Lake Pump Station by Avon Lake Regional Water and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2015-06-28 to 2017-08-31 (NCEI Accession 0130546)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0130546 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  17. Oceanographic and surface meteorological data collected from station City of Toledo Water Intake Crib by LimnoTech and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2015-05-20 to 2017-08-31 (NCEI Accession 0130548)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0130548 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  18. 76 FR 29210 - Procurement List; Proposed Additions

    Science.gov (United States)

    2011-05-20

    ... Maintenance Services, NOAA- Atlantic Oceanographic & Meteorological Laboratory (AOML), 4301 Rickenbacker... General Services Administration. Services Service Type/Location: Total Facility Maintenance, FCC--Equipment Developmental Group, 3600 Hiram-Lithia Springs Road, SW., Hiram, GA. NPA: Bobby Dodd Institute...

  19. Temperature profiles from mechanical bathythermograph (MBT) casts from the USS SKILL in the North Atlantic Ocean in support of the Fleet Observations of Oceanographic Data (FLOOD) project from 1967-07-08 to 1967-07-19 (NODC Accession 6700389)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — MBT data were collected from the USS SKILL in support of the Fleet Observations of Oceanographic Data (FLOOD) project. Data were collected by US Navy; Ships of...

  20. Temperature profiles from mechanical bathythermograph (MBT) casts from the USS ENDURANCE in the South China Sea in support of the Fleet Observations of Oceanographic Data (FLOOD) project from 1962-04-16 to 1962-04-27 (NODC Accession 6200946)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — MBT data were collected from the USS ENDURANCE in support of the Fleet Observations of Oceanographic Data (FLOOD) project. Data were collected by US Navy; Ships of...

  1. Temperature profiles from mechanical bathythermograph (MBT) casts from the USS EXCEL in the South China Sea in support of the Fleet Observations of Oceanographic Data (FLOOD) project from 1967-05-03 to 1967-06-10 (NODC Accession 6700195)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — MBT data were collected from the USS EXCEL in support of the Fleet Observations of Oceanographic Data (FLOOD) project. Data were collected by US Navy; Ships of...

  2. Temperature profiles from mechanical bathythermograph (MBT) casts from the USS EMBATTLE in the South China Sea in support of the Fleet Observations of Oceanographic Data (FLOOD) project from 1959-03-04 to 1959-03-10 (NODC Accession 5900016)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — MBT data were collected from the USS EMBATTLE in support of the Fleet Observations of Oceanographic Data (FLOOD) project. Data were collected by US Navy; Ships of...

  3. Temperature profiles from mechanical bathythermograph (MBT) casts from the USS REAPER in the South China Sea in support of the Fleet Observations of Oceanographic Data (FLOOD) project from 1970-01-04 to 1970-01-06 (NODC Accession 7000334)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — MBT data were collected from the USS REAPER in support of the Fleet Observations of Oceanographic Data (FLOOD) project. Data were collected by US Navy; Ships of...

  4. Temperature profiles from mechanical bathythermograph (MBT) casts from the USS ENERGY in the South China Sea in support of the Fleet Observations of Oceanographic Data (FLOOD) project from 1964-09-04 to 1964-09-30 (NODC Accession 6400825)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — MBT data were collected from the USS ENGAGE in support of the Fleet Observations of Oceanographic Data (FLOOD) project. Data were collected by US Navy; Ships of...

  5. Temperature profiles from mechanical bathythermograph (MBT) casts from the USS CONFLICT in the North Pacific Ocean in support of the Fleet Observations of Oceanographic Data (FLOOD) project from 1966-07-19 to 1966-07-21 (NODC Accession 6600106)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — MBT data were collected from the USS CONFLICT in support of the Fleet Observations of Oceanographic Data (FLOOD) project. Data were collected by US Navy; Ships of...

  6. Temperature profiles from mechanical bathythermograph (MBT) casts from the USS GANNET in the South China Sea in support of the Fleet Observations of Oceanographic Data (FLOOD) project from 1966-09-29 to 1966-10-10 (NODC Accession 6600402)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — MBT data were collected from the USS GANNET in support of the Fleet Observations of Oceanographic Data (FLOOD) project. Data were collected by US Navy; Ships of...

  7. Oceanographic station and other data from meteorological sensors, CTD, and bottle casts from numerous platforms and processed by NODC to the NODC standard Station Data II (SD2) Output Format from 1955-05-04 to 1986-09-24

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Oceanographic station and other data from meteorological sensors, CTD, and bottle casts from numerous platforms from 1955-05-04 to 1986-09-24. Data were processed by...

  8. Temperature profiles from mechanical bathythermograph (MBT) casts from the USS ENGAGE in the South China Sea in support of the Fleet Observations of Oceanographic Data (FLOOD) project from 1966-08-08 to 1966-10-11 (NODC Accession 6600265)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — MBT data were collected from the USS ENGAGE in support of the Fleet Observations of Oceanographic Data (FLOOD) project. Data were collected by US Navy; Ships of...

  9. Temperature profiles from mechanical bathythermograph (MBT) casts from the USS ENGAGE in the North Pacific Ocean in support of the Fleet Observations of Oceanographic Data (FLOOD) project from 1966-10-24 to 1966-12-12 (NODC Accession 6600267)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — MBT data were collected from the USS ENGAGE in support of the Fleet Observations of Oceanographic Data (FLOOD) project. Data were collected by US Navy; Ships of...

  10. Temperature profiles from mechanical bathythermograph (MBT) casts from the USS LEADER in the South China Sea in support of the Fleet Observations of Oceanographic Data (FLOOD) project from 1968-08-14 to 1968-11-28 (NODC Accession 7000894)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — MBT data were collected from the USS LEADER in support of the Fleet Observations of Oceanographic Data (FLOOD) project. Data were collected by US Navy; Ships of...

  11. Temperature profiles from mechanical bathythermograph (MBT) casts from the USS PEACOCK in the South China Sea in support of the Fleet Observations of Oceanographic Data (FLOOD) project from 1967-06-17 to 1967-07-17 (NODC Accession 6700701)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — MBT data were collected from the USS PEACOCK in support of the Fleet Observations of Oceanographic Data (FLOOD) project. Data were collected by US Navy; Ships of...

  12. Temperature profiles from mechanical bathythermograph (MBT) casts from the USS CONFLICT in the North Pacific Ocean in support of the Fleet Observations of Oceanographic Data (FLOOD) project from 1962-01-02 to 1962-02-09 (NODC Accession 6200043)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — MBT data were collected from the USS CONFLICT in support of the Fleet Observations of Oceanographic Data (FLOOD) project. Data were collected by US Navy; Ships of...

  13. Temperature profiles from mechanical bathythermograph (MBT) casts from the USS DIRECT in the North Atlantic Ocean in support of the Fleet Observations of Oceanographic Data (FLOOD) project from 1969-11-07 to 1969-11-25 (NODC Accession 6901053)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — MBT data were collected from the USS DIRECT in support of the Fleet Observations of Oceanographic Data (FLOOD) project. Data were collected by US Navy; Ships of...

  14. Temperature profiles from mechanical bathythermograph (MBT) casts from the USS ALBATROSS in the East China Sea in support of the Fleet Observations of Oceanographic Data (FLOOD) project from 1963-03-30 to 1963-05-31 (NODC Accession 6300736)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — MBT data were collected from the USS ALBATROSS in support of the Fleet Observations of Oceanographic Data (FLOOD) project. Data were collected by US Navy; Ships of...

  15. Temperature profiles from mechanical bathythermograph (MBT) casts from the USS VIREO in the South China Sea in support of the Fleet Observations of Oceanographic Data (FLOOD) project from 1965-01-26 to 1965-02-14 (NODC Accession 6500660)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — MBT data were collected from the USS VIREO in support of the Fleet Observations of Oceanographic Data (FLOOD) project. Data were collected by US Navy; Ships of...

  16. Temperature profiles from mechanical bathythermograph (MBT) casts from the USS ACME in the North Pacific Ocean in support of the Fleet Observations of Oceanographic Data (FLOOD) project from 1968-04-05 to 1968-04-25 (NODC Accession 6800642)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — MBT data were collected from the USS ACME in support of the Fleet Observations of Oceanographic Data (FLOOD) project. Data were collected by US Navy; Ships of...

  17. Temperature profiles from mechanical bathythermograph (MBT) casts from the USS VIREO in the East China Sea in support of the Fleet Observations of Oceanographic Data (FLOOD) project from 1964-04-13 to 1964-04-26 (NODC Accession 6400688)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — MBT data were collected from the USS VIREO in support of the Fleet Observations of Oceanographic Data (FLOOD) project. Data were collected by US Navy; Ships of...

  18. Temperature profiles from mechanical bathythermograph (MBT) casts from the USS WARBLER in the South China Sea in support of the Fleet Observations of Oceanographic Data (FLOOD) project from 1966-04-21 to 1966-05-28 (NODC Accession 6600712)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — MBT data were collected from the USS WARBLER in support of the Fleet Observations of Oceanographic Data (FLOOD) project. Data were collected by US Navy; Ships of...

  19. Temperature profiles from mechanical bathythermograph (MBT) casts from the USS LOYALTY in the South China Sea in support of the Fleet Observations of Oceanographic Data (FLOOD) project from 1966-09-12 to 1966-10-30 (NODC Accession 6600255)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — MBT data were collected from the USS LOYALTY in support of the Fleet Observations of Oceanographic Data (FLOOD) project. Data were collected by US Navy; Ships of...

  20. Temperature profiles from mechanical bathythermograph (MBT) casts from the USS LOYALTY in the North Pacific Ocean in support of the Fleet Observations of Oceanographic Data (FLOOD) project from 1969-06-18 to 1969-06-23 (NODC Accession 6900720)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — MBT data were collected from the USS LOYALTY in support of the Fleet Observations of Oceanographic Data (FLOOD) project. Data were collected by US Navy; Ships of...