WorldWideScience

Sample records for meteorology mineralogy navigation

  1. MINERALOGY

    Institute of Scientific and Technical Information of China (English)

    2015-01-01

    20152310 Hao Penghao(National Defense Key Discipline Lab.of Nuclear Waste and Environmental Safety,Southwest University of Science and Technology,Mianyang 621010,China);Lu Xirui Structural Evolvement and the Capability of Resistance toγ-Ray Irradiation on Zircon Originated from the North Qaidam(Journal of Mineralogy and Petrology,

  2. MINERALOGY

    Institute of Scientific and Technical Information of China (English)

    2013-01-01

    <正>20130742 Huang Dubin (School of Geoscience and Surveying Engineering , China University of Mining and Technology , Beijing 100083 , China); Guan Xinbang Study on the Minera-logical Features of Chloritoid in Hongmiaoling Formation of Dongshan , Tanzhesi , West Beijing , China (Acta Mineralogica Sinica , ISSN1000-4734 , CN52-1045/P

  3. MINERALOGY

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    <正>20112225Du Guangpeng(Shanghai Jianqiao College,Shanghai 201319,China);Fan Jianliang Characteristics of Raman Spectral of Calcite Group Minerals(Journal of Mineralogy and Petrology,ISSN1001 - 6872, CN51-1143/TD,30(4),2010,p.32-35, 2illus.,2tables,6refs.)

  4. MINERALOGY

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    <正>20080144 Ma Guohua(Southwest University of Science and Technology,Mianyang 621002,China);Peng Tongjiang A Study of Chrysotile Asbestos Nanotube Synthesized by Hydrothermal Reaction(Journal of Mineralogy and Petrology,ISSN1001-6872,CN51-1143/TD,27(1),2007,p.40-45,2 illus.,2 photos,11 refs.)

  5. Attitude determination for three-axis stabilized geostationary meteorological satellite image navigation

    Science.gov (United States)

    Wu, Yaguang; Wang, Zhigang

    2005-11-01

    To achieve the high accuracy of attitude determination for three-axis stabilized geostationary meteorological satellite image navigation, a new approach combined gyro with star trackers is proposed, and a real-time algorithm for attitude estimation is designed. This algorithm begins with a prediction for angular rate model errors induced by gyro drifting error, and ends with the extended Kalman filtering (EKF) for attitude estimation of three-axis. A Matlab-based time domain simulation model is developed to evaluate the attitude determination performance. Simulation results demonstrate that the proposed algorithm has characteristics of high accuracy, rapid convergence and strong robustness.

  6. Sensitivity analysis of helicopter IMC decelerating steep approach and landing performance to navigation system parameters. [Instrument Meteorological Conditions

    Science.gov (United States)

    Karmali, M. S.; Phatak, A. V.; Bull, J. S.; Peach, L. L.; Demko, P. S.

    1984-01-01

    The present investigation is concerned with a sensitivity analysis of the Decelerated Steep Approach and Landing (DSAL) maneuver to on-board and ground-based navigation system parameters. The Instrument Meteorological Conditions (IMC) DSAL maneuver involves decelerating to zero range rate while tracking the localizer and glideslope. The considered study investigated the performance of the navigation systems using Constant Deceleration Profile (CDP) guidance and a six degrees glideslope trajectory. A closed-loop computer simulation of the UH1H helicopter DSAL system was developed for the sensitivity analysis. Conclusions on system performance parameter sensitivity are discussed.

  7. Meteorological and navigational data collected aboard NOAA Ship Rainier in Yaquina Bay from 2014-11-21 to 2014-12-01 (NCEI Accession 0138154)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0138154 contains raw meteorological and navigational data logged by the Scientific Computer System (SCS) aboard NOAA Ship Rainier in Yaquina Bay near...

  8. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Ronald H. Brown in the Bering Sea on 2015-09-04 (NCEI Accession 0137446)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0137446 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  9. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Oscar Elton Sette in the North Pacific Ocean on 2016-06-22 (NCEI Accession 0155170)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0155170 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  10. Biological, chemical, in situ, meteorological, navigational, physical and profile data collected by Hellenic Centre for Marine Research at OceanSITES site PYLOS from 2010-03-23 to 2016-07-16 (NCEI Accession 0131162)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Biological, chemical, in situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, BAROMETRIC PRESSURE,...

  11. Gridded in situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; OAR; Pacific Marine Environmental Laboratory at OceanSITES site KEO from 2004-06-01 to 2016-09-06 (NCEI Accession 0130542)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, BAROMETRIC PRESSURE, CURRENT DIRECTION,...

  12. Chemical, in situ, meteorological, navigational, physical and profile data collected by National Research Council at OceanSITES site W1M3A from 2004-06-18 to 2016-07-22 (NCEI Accession 0131499)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, in situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, BAROMETRIC PRESSURE,...

  13. Gridded in situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; OAR; Pacific Marine Environmental Laboratory at OceanSITES site PIRATA from 1997-09-10 to 2016-09-06 (NCEI Accession 0130543)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, BAROMETRIC PRESSURE, CURRENT DIRECTION,...

  14. In situ, meteorological, navigational, physical and profile data collected by University of Hawaii at Manoa and Woods Hole Oceanographic Institution at OceanSITES site WHOTS from 2004-08-12 to 2016-09-02 (NCEI Accession 0131449)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, BAROMETRIC PRESSURE, CONDUCTIVITY, CURRENT...

  15. In situ, meteorological, navigational, physical and profile data collected by Monterey Bay Aquarium Research Institute at OceanSITES site MBARI from 2004-04-30 to 2016-10-06 (NCEI Accession 0130040)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including ABSOLUTE HUMIDITY, AIR TEMPERATURE, BAROMETRIC PRESSURE,...

  16. In situ, meteorological, navigational, physical and profile data collected by Woods Hole Oceanographic Institution at OceanSITES site NTAS from 2001-03-30 to 2016-10-06 (NCEI Accession 0131154)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, BAROMETRIC PRESSURE, CONDUCTIVITY, CURRENT...

  17. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; OAR; Pacific Marine Environmental Laboratory at OceanSITES site KEO from 2004-06-01 to 2015-09-07 (NCEI Accession 0130037)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, BAROMETRIC PRESSURE, CONDUCTIVITY, CURRENT...

  18. Gridded in situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; OAR; Pacific Marine Environmental Laboratory at OceanSITES site RAMA from 1993-07-25 to 2016-09-06 (NCEI Accession 0130544)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, BAROMETRIC PRESSURE, CURRENT DIRECTION,...

  19. In situ, meteorological, navigational, physical and profile data collected by Japan Agency for Marine-Earth Science and Technology (JAMSTEC) at OceanSITES site JKEO from 2008-02-29 to 2012-06-23 (NCEI Accession 0130035)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, BAROMETRIC PRESSURE, DEPTH - OBSERVATION,...

  20. Biological, chemical, in situ, meteorological, navigational, physical and profile data collected by Hellenic Centre for Marine Research at OceanSITES site E1M3A from 2007-08-01 to 2015-07-07 (NCEI Accession 0130474)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Biological, chemical, in situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, BAROMETRIC PRESSURE,...

  1. In situ, meteorological, navigational, physical and profile data collected by Woods Hole Oceanographic Institution at OceanSITES site Stratus from 2000-10-07 to 2016-10-06 (NCEI Accession 0131163)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, BAROMETRIC PRESSURE, CONDUCTIVITY, CURRENT...

  2. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; OAR; Pacific Marine Environmental Laboratory at OceanSITES site PAPA from 2007-06-07 to 2016-07-05 (NCEI Accession 0130049)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, BAROMETRIC PRESSURE, CONDUCTIVITY, CURRENT...

  3. Gridded in situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; OAR; Pacific Marine Environmental Laboratory at OceanSITES site PAPA from 2007-06-07 to 2016-09-06 (NCEI Accession 0130475)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, BAROMETRIC PRESSURE, CURRENT DIRECTION,...

  4. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Reuben Lasker in the North Pacific Ocean from 2016-04-26 to 2016-05-19 (NCEI Accession 0153493)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0153493 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  5. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Thomas Jefferson in the North Atlantic Ocean from 2013-03-11 to 2013-03-13 (NODC Accession 0123054)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0123054 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  6. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Nancy Foster in the Gulf of Mexico and North Atlantic Ocean from 2014-09-15 to 2014-09-27 (NODC Accession 0125583)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125583 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  7. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Gulf of Alaska and North Pacific Ocean from 2014-02-21 to 2014-03-01 (NODC Accession 0125086)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125086 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  8. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Hi'ialakai in the North Pacific Ocean and South Pacific Ocean from 2015-01-22 to 2015-05-04 (NCEI Accession 0127322)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0127322 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  9. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Bering Sea from 2014-05-20 to 2014-06-08 (NODC Accession 0125267)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125267 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  10. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Coastal Waters of SE Alaska from 2016-01-30 to 2016-02-01 (NCEI Accession 0150695)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0150695 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  11. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Gulf of Alaska and North Pacific Ocean from 2016-02-11 to 2016-02-20 (NCEI Accession 0150731)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0150731 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  12. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Hi'ialakai in the North Pacific Ocean from 2013-09-05 to 2013-09-20 (NODC Accession 0113248)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113248 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  13. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Gulf of Alaska from 2015-03-14 to 2015-03-31 (NCEI Accession 0130691)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0130691 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  14. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Bering Sea from 2014-06-12 to 2014-08-14 (NODC Accession 0124303)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0124303 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  15. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Hi'ialakai in the North Pacific Ocean from 2015-11-01 to 2015-11-14 (NCEI Accession 0150693)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0150693 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  16. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Hi'ialakai in the North Pacific Ocean from 2014-09-06 to 2014-09-30 (NODC Accession 0122499)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0122499 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  17. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Bering Sea from 2014-05-06 to 2014-05-17 (NODC Accession 0125087)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125087 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  18. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Bering Sea, Gulf of Alaska and North Pacific Ocean from 2016-03-09 to 2016-03-24 (NCEI Accession 0150822)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0150822 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  19. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Bering Sea, Gulf of Alaska and North Pacific Ocean from 2013-06-08 to 2013-08-09 (NODC Accession 0123940)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0123940 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  20. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Bering Sea, Gulf of Alaska and North Pacific Ocean from 2015-09-23 to 2015-10-06 (NCEI Accession 0137392)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0137392 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  1. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Bering Sea, Gulf of Alaska and North Pacific Ocean from 2014-08-17 to 2014-10-06 (NODC Accession 0124596)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0124596 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  2. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Gulf of Alaska and North Pacific Ocean from 2015-02-09 to 2015-03-03 (NODC Accession 0127242)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0127242 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  3. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Bering Sea, Gulf of Alaska and North Pacific Ocean from 2015-05-14 to 2015-06-05 (NCEI Accession 0130586)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0130586 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  4. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Bering Sea, Gulf of Alaska and North Pacific Ocean from 2014-03-03 to 2014-03-12 (NODC Accession 0125005)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125005 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  5. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Bering Sea, Gulf of Alaska and North Pacific Ocean from 2013-08-15 to 2013-09-19 (NODC Accession 0123941)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0123941 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  6. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Bering Sea, Gulf of Alaska and North Pacific Ocean from 2015-08-20 to 2015-09-02 (NCEI Accession 0131578)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0131578 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  7. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Oregon II in the Gulf of Mexico and North Atlantic Ocean from 2014-05-04 to 2014-05-31 (NODC Accession 0118842)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0118842 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  8. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Bering Sea, Gulf of Alaska and North Pacific Ocean from 2016-03-02 to 2016-03-09 (NCEI Accession 0150732)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0150732 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  9. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Bering Sea, Gulf of Alaska and North Pacific Ocean from 2014-03-13 to 2014-03-25 (NODC Accession 0124597)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0124597 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  10. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Hi'ialakai in the North Pacific Ocean from 2015-07-27 to 2015-08-26 (NCEI Accession 0133933)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0133933 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  11. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Bering Sea, Gulf of Alaska and North Pacific Ocean from 2013-04-29 to 2013-05-11 (NODC Accession 0124208)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0124208 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  12. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Bering Sea from 2015-09-06 to 2015-09-18 (NCEI Accession 0137412)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0137412 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  13. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Bering Sea, Gulf of Alaska and North Pacific Ocean from 2014-04-04 to 2014-05-02 (NODC Accession 0125006)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125006 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  14. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Bering Sea, Gulf of Alaska and North Pacific Ocean from 2013-05-15 to 2013-06-01 (NODC Accession 0124207)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0124207 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  15. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Bering Sea, Gulf of Alaska and North Pacific Ocean from 2015-04-24 to 2015-05-10 (NCEI Accession 0130737)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0130737 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  16. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Pisces in the Gulf of Mexico and North Atlantic Ocean from 2013-04-05 to 2013-06-07 (NODC Accession 0117812)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0117812 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  17. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Nancy Foster in the North Atlantic Ocean from 2014-11-12 to 2014-11-21 (NODC Accession 0125582)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125582 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  18. Underway meteorological, navigational, optical, physical, time series and trawl data collected aboard NOAA Ship Bell M. Shimada in the North Pacific Ocean from 2013-04-06 to 2013-04-30 (NODC Accession 0115912)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115912 contains raw underway meteorological, navigational, optical, physical, time series and trawl data logged by the Scientific Computer System...

  19. Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2015-05-19 to 2015-06-03 (NCEI Accession 0129421)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0129421 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

  20. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Fairweather in the Beaufort Sea, Bering Sea and others from 2015-06-12 to 2015-08-14 (NCEI Accession 0131828)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0131828 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  1. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Okeanos Explorer in the Caribbean Sea, Coastal Waters of SE Alaska and others from 2015-05-08 to 2015-06-09 (NCEI Accession 0141434)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0141434 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  2. Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2015-06-10 to 2015-07-02 (NCEI Accession 0129527)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0129527 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

  3. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Nancy Foster in the North Atlantic Ocean from 2015-09-15 to 2015-10-22 (NCEI Accession 0137086)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0137086 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  4. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Nancy Foster in the North Atlantic Ocean from 2014-04-12 to 2014-04-17 (NODC Accession 0117969)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0117969 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  5. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Nancy Foster in the North Atlantic Ocean from 2015-08-21 to 2015-08-30 (NCEI Accession 0131113)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0131113 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  6. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Pisces in the Caribbean Sea, Gulf of Mexico and North Atlantic Ocean from 2015-10-12 to 2015-10-31 (NCEI Accession 0138341)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0138341 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  7. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Gordon Gunter in the North Atlantic Ocean from 2016-05-21 to 2016-06-04 (NCEI Accession 0155169)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0155169 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  8. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Pisces in the North Atlantic Ocean from 2015-07-10 to 2015-08-04 (NCEI Accession 0130690)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0130690 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  9. Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2015-05-19 to 2015-06-03 (NCEI Accession 0134847)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0134847 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

  10. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Rainier in the Beaufort Sea, Bering Sea and others from 2015-06-19 to 2015-08-27 (NCEI Accession 0130918)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0130918 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  11. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Rainier in the Gulf of Alaska from 2015-09-16 to 2015-09-25 (NCEI Accession 0138191)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0138191 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  12. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Pisces in the Gulf of Mexico from 2015-08-24 to 2015-09-10 (NCEI Accession 0132045)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0132045 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  13. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Pisces in the North Atlantic Ocean from 2013-02-10 to 2013-02-26 (NODC Accession 0117954)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0117954 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  14. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Pisces in the North Atlantic Ocean from 2015-06-18 to 2015-07-01 (NCEI Accession 0129541)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0129541 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  15. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Pisces in the Gulf of Mexico and North Atlantic Ocean from 2015-05-12 to 2015-06-10 (NCEI Accession 0129440)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0129440 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  16. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Bell M. Shimada in the North Pacific Ocean from 2014-09-25 to 2014-09-30 (NCEI Accession 0136936)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0136936 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  17. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Bell M. Shimada in the North Pacific Ocean from 2015-01-31 to 2015-02-04 (NODC Accession 0125756)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125756 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  18. Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Ronald H. Brown in the Arctic Ocean and North Pacific Ocean from 2015-01-14 to 2015-02-13 (NODC Accession 0126056)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0126056 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

  19. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Elton Sette in the South Pacific Ocean from 2016-03-05 to 2016-03-25 (NCEI Accession 0155172)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0155172 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  20. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Nancy Foster in the Gulf of Mexico and North Atlantic Ocean from 2013-04-26 to 2013-06-01 (NODC Accession 0113336)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113336 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  1. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Elton Sette in the North Pacific Ocean from 2014-03-17 to 2014-03-28 (NODC Accession 0118676)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0118676 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  2. Underway biological, meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2016-05-06 to 2016-05-13 (NCEI Accession 0153543)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0153543 contains raw underway biological, meteorological, navigational, physical, profile and time series data logged by the Scientific Computer...

  3. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Ronald H. Brown in the North Pacific Ocean and South Pacific Ocean from 2016-02-16 to 2016-03-28 (NCEI Accession 0155888)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0155888 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  4. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Fairweather in the Gulf of Alaska from 2014-04-28 to 2014-07-28 (NODC Accession 0126498)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0126498 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  5. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Elton Sette in the North Pacific Ocean from 2014-04-05 to 2014-04-19 (NODC Accession 0118646)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0118646 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  6. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Fairweather in the Coastal Waters of SE Alaska and North Pacific Ocean from 2015-09-18 to 2015-11-13 (NCEI Accession 0137857)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0137857 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  7. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Pisces in the Gulf of Mexico from 2014-08-22 to 2014-09-12 (NODC Accession 0121982)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0121982 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  8. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Oregon II in the Gulf of Mexico from 2013-10-24 to 2013-11-22 (NODC Accession 0116135)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0116135 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  9. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Bell M. Shimada in the North Pacific Ocean from 2015-05-05 to 2015-05-18 (NCEI Accession 0128172)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0128172 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  10. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Reuben Lasker in the North Pacific Ocean from 2016-03-22 to 2016-04-07 (NCEI Accession 0150873)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0150873 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  11. Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2012-09-04 to 2012-11-11 (NODC Accession 0125919)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125919 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

  12. Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2013-07-01 to 2013-08-18 (NODC Accession 0115902)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115902 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

  13. Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2012-05-31 to 2012-06-14 (NODC Accession 0125709)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125709 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

  14. Underway biological, meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2015-09-01 to 2015-11-06 (NCEI Accession 0132052)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0132052 contains raw underway biological, meteorological, navigational, physical, profile and time series data logged by the Scientific Computer...

  15. Underway meteorological, time series, navigational, physical and trawl data collected aboard NOAA Ship Nancy Foster in the North Atlantic Ocean from 2013-11-04 to 2013-11-09 (NODC Accession 0116722)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0116722 contains raw underway meteorological, time series, navigational, physical and trawl data logged by the Scientific Computer System (SCS) aboard...

  16. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Pisces in the Gulf of Mexico from 2014-05-27 to 2014-09-30 (NODC Accession 0119414)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0119414 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  17. Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2012-08-07 to 2012-08-24 (NODC Accession 0125711)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125711 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

  18. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Gordon Gunter in the Gulf of Mexico from 2015-03-03 to 2015-04-02 (NODC Accession 0127257)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0127257 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  19. Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2015-07-27 to 2015-08-07 (NCEI Accession 0130538)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0130538 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

  20. Underway composition & location, meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Gordon Gunter in the Bay of Fundy and North Atlantic Ocean from 2015-06-18 to 2015-07-24 (NCEI Accession 0130005)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0130005 contains raw underway composition & location, meteorological, navigational, optical, physical, profile and time series data logged by the...

  1. Underway meteorological, navigational, optical, physical, profile, time series and trawl data collected aboard NOAA Ship Gordon Gunter in the North Atlantic Ocean from 2014-03-11 to 2014-04-28 (NODC Accession 0118186)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0118186 contains raw underway meteorological, navigational, optical, physical, profile, time series and trawl data logged by the Scientific Computer...

  2. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Nancy Foster in the Caribbean Sea and North Atlantic Ocean from 2015-04-12 to 2015-05-05 (NCEI Accession 0129874)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0129874 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  3. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Gordon Gunter in the Gulf of Mexico and North Atlantic Ocean from 2015-04-14 to 2015-06-13 (NCEI Accession 0128347)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0128347 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  4. Underway meteorological, navigational, optical, physical, profile, time series and trawl data collected aboard NOAA Ship Gordon Gunter in the Gulf of Mexico from 2014-08-21 to 2014-09-30 (NODC Accession 0122396)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0122396 contains raw underway meteorological, navigational, optical, physical, profile, time series and trawl data logged by the Scientific Computer...

  5. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Nancy Foster in the Caribbean Sea, Gulf of Mexico and North Atlantic Ocean from 2015-05-10 to 2015-06-02 (NCEI Accession 0129840)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0129840 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  6. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Gordon Gunter in the Gulf of Mexico and North Atlantic Ocean from 2014-07-04 to 2014-07-31 (NODC Accession 0120740)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0120740 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  7. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Gordon Gunter in the Gulf of Mexico from 2016-03-17 to 2016-03-22 (NCEI Accession 0150824)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0150824 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  8. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Nancy Foster in the Caribbean Sea and North Atlantic Ocean from 2015-03-19 to 2015-04-08 (NCEI Accession 0129817)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0129817 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  9. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Nancy Foster in the Caribbean Sea and North Atlantic Ocean from 2013-02-13 to 2013-03-01 (NODC Accession 0113486)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113486 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  10. Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2012-06-18 to 2012-06-28 (NODC Accession 0125666)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125666 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

  11. Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the Bay of Fundy and North Atlantic Ocean from 2013-09-06 to 2013-11-19 (NODC Accession 0115901)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115901 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

  12. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Nancy Foster in the Caribbean Sea and North Atlantic Ocean from 2013-02-16 to 2013-04-06 (NODC Accession 0113252)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113252 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  13. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Bell M. Shimada in the North Pacific Ocean from 2016-04-28 to 2016-05-09 (NCEI Accession 0151241)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0151241 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  14. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2015-11-12 to 2015-11-17 (NCEI Accession 0138157)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0138157 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  15. Underway biological, meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the Bay of Fundy and North Atlantic Ocean from 2014-09-07 to 2014-11-13 (NODC Accession 0123520)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0123520 contains raw underway biological, meteorological, navigational, physical, profile and time series data logged by the Scientific Computer...

  16. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Bell M. Shimada in the North Pacific Ocean from 2013-03-01 to 2013-03-10 (NODC Accession 0116096)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0116096 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  17. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Gordon Gunter in the North Atlantic Ocean from 2015-10-06 to 2015-10-27 (NCEI Accession 0137363)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0137363 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  18. Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2012-07-04 to 2012-07-18 (NODC Accession 0125758)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125758 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

  19. Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2014-06-18 to 2014-07-01 (NODC Accession 0125584)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125584 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

  20. Underway profile, meteorological, optical, trawl, time series, navigational and physical data collected aboard NOAA Ship Gordon Gunter in the North Atlantic Ocean from 2013-07-19 to 2013-11-25 (NODC Accession 0113251)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113251 contains raw underway profile, meteorological, optical, trawl, time series, navigational and physical data logged by the Scientific Computer...

  1. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Elton Sette in the North Pacific Ocean from 2014-09-25 to 2014-10-27 (NODC Accession 0123056)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0123056 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  2. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Elton Sette in the North Pacific Ocean from 2014-08-30 to 2014-09-19 (NODC Accession 0123092)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0123092 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  3. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Gordon Gunter in the Gulf of Mexico and North Atlantic Ocean from 2015-08-07 to 2015-09-28 (NCEI Accession 0131988)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0131988 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  4. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Gordon Gunter in the North Atlantic Ocean from 2014-05-05 to 2014-05-09 (NCEI Accession 0149716)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0149716 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  5. Underway biological, meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2015-03-13 to 2015-05-07 (NCEI Accession 0128346)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0128346 contains raw underway biological, meteorological, navigational, physical, profile and time series data logged by the Scientific Computer...

  6. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Elton Sette in the North Pacific Ocean and Philippine Sea from 2014-07-24 to 2014-08-25 (NODC Accession 0123095)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0123095 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  7. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Elton Sette in the North Pacific Ocean and Philippine Sea from 2014-05-31 to 2014-06-16 (NODC Accession 0123093)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0123093 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  8. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Elton Sette in the North Pacific Ocean and Philippine Sea from 2014-06-19 to 2014-07-19 (NODC Accession 0123094)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0123094 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  9. Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2012-02-27 to 2012-05-04 (NODC Accession 0125710)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125710 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

  10. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Nancy Foster in the Caribbean Sea and North Atlantic Ocean from 2014-03-05 to 2014-04-08 (NODC Accession 0125563)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125563 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  11. Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2013-03-14 to 2013-05-09 (NODC Accession 0115052)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115052 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

  12. Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2014-08-05 to 2014-08-16 (NODC Accession 0125265)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125265 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

  13. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Gordon Gunter in the Gulf of Mexico from 2012-10-19 to 2012-10-29 (NODC Accession 0113519)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113519 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  14. Underway biological, meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2014-03-31 to 2014-05-23 (NODC Accession 0119096)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0119096 contains raw underway biological, meteorological, navigational, physical, profile and time series data logged by the Scientific Computer...

  15. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Nancy Foster in the Gulf of Mexico and North Atlantic Ocean from 2014-09-01 to 2014-09-14 (NODC Accession 0123337)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0123337 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  16. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Ferdinand R. Hassler in the North Atlantic Ocean from 2014-04-14 to 2014-11-19 (NCEI Accession 0138005)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0138005 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  17. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Ronald H. Brown in the North Pacific Ocean from 2016-01-12 to 2016-02-10 (NCEI Accession 0144978)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0144978 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  18. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Oscar Elton Sette in the North Pacific Ocean and Philippine Sea from 2015-04-20 to 2015-06-05 (NCEI Accession 0129910)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0129910 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  19. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Oscar Elton Sette in the North Pacific Ocean from 2015-04-03 to 2015-04-15 (NCEI Accession 0130368)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0130368 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  20. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Rainier in the Gulf of Alaska from 2014-05-19 to 2014-09-04 (NODC Accession 0123694)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0123694 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  1. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Nancy Foster in the North Atlantic Ocean from 2014-06-17 to 2014-06-28 (NODC Accession 0125534)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125534 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  2. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Ronald H. Brown in the North Pacific Ocean and South Pacific Ocean from 2014-03-23 to 2014-04-08 (NODC Accession 0120490)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0120490 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  3. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Bell M. Shimada in the North Pacific Ocean from 2014-04-15 to 2014-05-12 (NODC Accession 0118545)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0118545 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  4. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Bell M. Shimada in the North Pacific Ocean from 2016-02-13 to 2016-02-17 (NCEI Accession 0150876)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0150876 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  5. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Pisces in the Gulf of Mexico from 2013-10-22 to 2013-12-07 (NCEI Accession 0142630)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0142630 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  6. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Oregon II in the Gulf of Mexico from 2014-06-07 to 2014-07-19 (NODC Accession 0120616)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0120616 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  7. Underway meteorological, navigational and physical data collected aboard NOAA Ship Ferdinand R. Hassler in the North Atlantic Ocean from 2016-03-01 to 2016-03-11 (NCEI Accession 0150691)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0150691 contains raw underway meteorological, navigational and physical data logged by the Scientific Computer System (SCS) aboard NOAA Ship Ferdinand...

  8. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Ronald H. Brown in the North Pacific Ocean and South Pacific Ocean from 2014-08-25 to 2014-09-27 (NODC Accession 0122504)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0122504 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  9. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Nancy Foster in the North Atlantic Ocean from 2014-04-20 to 2014-04-30 (NODC Accession 0118187)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0118187 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  10. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Okeanos Explorer in the North Atlantic Ocean from 2014-02-08 to 2014-02-10 (NODC Accession 0123613)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0123613 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  11. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Okeanos Explorer in the Bay of Fundy and North Atlantic Ocean from 2014-10-14 to 2014-10-22 (NODC Accession 0125598)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125598 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  12. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Pisces in the North Atlantic Ocean from 2013-07-01 to 2013-07-12 (NODC Accession 0117838)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0117838 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  13. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Okeanos Explorer in the North Pacific Ocean from 2015-09-12 to 2015-09-30 (NCEI Accession 0142173)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0142173 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  14. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Nancy Foster in the North Atlantic Ocean from 2015-12-02 to 2015-12-14 (NCEI Accession 0139356)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0139356 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  15. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Bell M. Shimada in the North Pacific Ocean from 2014-01-28 to 2014-02-07 (NODC Accession 0116956)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0116956 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  16. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Bell M. Shimada in the North Pacific Ocean from 2016-01-09 to 2016-01-23 (NCEI Accession 0150817)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0150817 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  17. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Nancy Foster in the Gulf of Mexico and North Atlantic Ocean from 2015-06-15 to 2015-06-28 (NCEI Accession 0129875)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0129875 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  18. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Ronald H. Brown in the North Pacific Ocean from 2016-05-05 to 2016-05-21 (NCEI Accession 0155887)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0155887 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  19. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Oregon II in the Gulf of Mexico from 2016-03-31 to 2016-04-22 (NCEI Accession 0150823)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0150823 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  20. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Nancy Foster in the North Atlantic Ocean from 2015-08-09 to 2015-08-16 (NCEI Accession 0130917)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0130917 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  1. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Elton Sette in the North Pacific Ocean from 2016-06-13 to 2016-06-22 (NCEI Accession 0155171)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0155171 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  2. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Nancy Foster in the North Atlantic Ocean from 2013-07-12 to 2013-07-21 (NODC Accession 0113448)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113448 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  3. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Oregon II in the Gulf of Mexico from 2015-10-08 to 2015-11-21 (NCEI Accession 0138304)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0138304 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  4. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Pisces in the Gulf of Mexico from 2016-05-26 to 2016-05-31 (NCEI Accession 0155295)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0155295 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  5. Underway meteorological, time series, navigational, physical and optical data collected aboard NOAA Ship Okeanos Explorer in the Gulf of Mexico and North Atlantic Ocean from 2014-02-24 to 2014-03-18 (NCEI Accession 0123616)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0123616 contains raw underway meteorological, time series, navigational, physical and optical data logged by the Scientific Computer System (SCS)...

  6. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Nancy Foster in the North Atlantic Ocean from 2015-09-02 to 2015-09-10 (NCEI Accession 0137334)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0137334 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  7. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Nancy Foster in the Gulf of Mexico and North Atlantic Ocean from 2013-09-10 to 2013-09-20 (NODC Accession 0113488)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113488 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  8. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Nancy Foster in the North Atlantic Ocean from 2013-08-09 to 2013-08-15 (NODC Accession 0113484)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113484 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  9. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Nancy Foster in the North Atlantic Ocean from 2013-08-31 to 2013-09-07 (NODC Accession 0113487)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113487 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  10. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Nancy Foster in the North Atlantic Ocean from 2013-08-16 to 2013-08-28 (NODC Accession 0113485)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113485 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  11. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Nancy Foster in the Gulf of Mexico and North Atlantic Ocean from 2015-06-05 to 2015-06-12 (NCEI Accession 0129839)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0129839 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  12. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Oregon II in the Gulf of Mexico and North Atlantic Ocean from 2015-07-25 to 2015-09-27 (NCEI Accession 0132051)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0132051 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  13. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Okeanos Explorer in the North Atlantic Ocean from 2015-02-09 to 2015-02-13 (NODC Accession 0125757)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125757 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  14. Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Ronald H. Brown in the North Pacific Ocean and South Pacific Ocean from 2015-02-27 to 2015-03-30 (NODC Accession 0127092)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0127092 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

  15. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Pisces in the North Atlantic Ocean from 2016-06-08 to 2016-06-25 (NCEI Accession 0155294)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0155294 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  16. Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Ronald H. Brown in the Coral Sea, North Pacific Ocean and South Pacific Ocean from 2014-10-06 to 2014-11-01 (NODC Accession 0123096)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0123096 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

  17. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Ronald H. Brown in the Coastal Waters of SE Alaska and North Pacific Ocean from 2016-06-23 to 2016-07-09 (NCEI Accession 0155758)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0155758 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  18. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Bell M. Shimada in the North Pacific Ocean from 2015-09-16 to 2015-10-13 (NCEI Accession 0135733)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0135733 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  19. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Bell M. Shimada in the North Pacific Ocean from 2013-01-11 to 2013-02-02 (NODC Accession 0115911)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115911 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  20. Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2013-06-10 to 2013-06-24 (NODC Accession 0115702)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115702 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

  1. Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2015-08-12 to 2015-08-21 (NCEI Accession 0131861)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0131861 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

  2. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Ronald H. Brown in the Arctic Ocean, Beaufort Sea and others from 2015-08-06 to 2015-09-04 (NCEI Accession 0141104)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0141104 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  3. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Rainier in the Gulf of Alaska from 2014-06-04 to 2014-06-20 (NCEI Accession 0141106)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0141106 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  4. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Okeanos Explorer in the Gulf of Mexico and North Atlantic Ocean from 2014-02-24 to 2014-05-01 (NODC Accession 0125564)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125564 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  5. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Bell M. Shimada in the North Pacific Ocean from 2015-05-29 to 2015-06-10 (NCEI Accession 0129494)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0129494 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  6. Underway meteorological, navigational, optical and physical data collected aboard NOAA Ship Oscar Elton Sette in the North Pacific Ocean from 2013-09-11 to 2013-09-30 (NODC Accession 0117012)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0117012 contains raw underway meteorological, navigational, optical and physical data logged by the Scientific Computer System (SCS) aboard NOAA Ship...

  7. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Oscar Elton Sette in the North Pacific Ocean and Philippine Sea from 2015-06-11 to 2015-07-14 (NCEI Accession 0129902)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0129902 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  8. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Fairweather in the Coastal Waters of SE Alaska, Gulf of Alaska and North Pacific Ocean from 2015-04-21 to 2015-06-04 (NCEI Accession 0131829)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0131829 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  9. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Oregon II in the Gulf of Mexico and North Atlantic Ocean from 2014-07-26 to 2014-09-29 (NODC Accession 0122397)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0122397 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  10. Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Ronald H. Brown in the North Pacific Ocean and South Pacific Ocean from 2014-11-05 to 2014-11-24 (NODC Accession 0123338)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0123338 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

  11. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Nancy Foster in the North Atlantic Ocean from 2014-05-19 to 2014-05-20 (NODC Accession 0118685)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0118685 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  12. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Ronald H. Brown in the Gulf of Alaska, North Pacific Ocean and South Pacific Ocean from 2015-04-10 to 2015-06-24 (NCEI Accession 0129524)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0129524 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  13. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Thomas Jefferson in the North Atlantic Ocean from 2014-06-10 to 2014-06-12 (NODC Accession 0123771)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0123771 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  14. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Bell M. Shimada in the North Pacific Ocean from 2016-03-23 to 2016-03-26 (NCEI Accession 0150875)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0150875 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  15. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Bell M. Shimada in the North Pacific Ocean from 2015-03-07 to 2015-03-22 (NODC Accession 0126660)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0126660 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  16. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Oregon II in the Gulf of Mexico from 2015-05-01 to 2015-05-31 (NCEI Accession 0129419)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0129419 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  17. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Bell M. Shimada in the Coastal Waters of SE Alaska and North Pacific Ocean from 2016-02-21 to 2016-03-11 (NCEI Accession 0150967)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0150967 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  18. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Oregon II in the Gulf of Mexico from 2016-04-29 to 2016-05-13 (NCEI Accession 0152488)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0152488 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  19. Underway meteorological, navigational, optical, physical, profile, time series and trawl data collected aboard NOAA Ship Gordon Gunter in the North Atlantic Ocean from 2014-02-18 to 2014-03-09 (NODC Accession 0117035)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0117035 contains raw underway meteorological, navigational, optical, physical, profile, time series and trawl data logged by the Scientific Computer...

  20. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Pisces in the North Atlantic Ocean from 2014-07-06 to 2014-08-02 (NODC Accession 0121197)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0121197 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  1. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Hi'ialakai in the North Pacific Ocean from 2013-06-26 to 2013-07-03 (NODC Accession 0099244)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0099244 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  2. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Hi'ialakai in the North Pacific Ocean from 2014-06-16 to 2014-07-12 (NODC Accession 0120277)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0120277 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  3. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Hi'ialakai in the North Pacific Ocean from 2014-07-15 to 2014-07-23 (NODC Accession 0120634)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0120634 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  4. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Hi'ialakai in the North Pacific Ocean from 2013-07-09 to 2013-07-16 (NODC Accession 0113243)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113243 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  5. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Bering Sea, Gulf of Alaska and North Pacific Ocean from 2015-06-11 to 2015-08-16 (NCEI Accession 0130738)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0130738 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  6. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Gulf of Alaska and North Pacific Ocean from 2013-02-08 to 2013-03-05 (NODC Accession 0124184)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0124184 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  7. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Hi'ialakai in the North Pacific Ocean from 2015-06-14 to 2015-07-03 (NCEI Accession 0129549)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0129549 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  8. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Hi'ialakai in the North Pacific Ocean from 2015-09-03 to 2015-10-01 (NCEI Accession 0138171)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0138171 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  9. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Hi'ialakai in the North Pacific Ocean from 2015-05-18 to 2015-06-08 (NCEI Accession 0129462)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0129462 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  10. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Hi'ialakai in the North Pacific Ocean from 2015-07-09 to 2015-07-16 (NCEI Accession 0129903)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0129903 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  11. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Hi'ialakai in the North Pacific Ocean from 2015-10-14 to 2015-10-26 (NCEI Accession 0137364)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0137364 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  12. Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Hi'ialakai in the North Pacific Ocean and Philippine Sea from 2014-05-11 to 2014-05-22 (NODC Accession 0119200)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0119200 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

  13. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Hi'ialakai in the North Pacific Ocean from 2014-08-07 to 2014-09-01 (NODC Accession 0121622)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0121622 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  14. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Gulf of Alaska from 2013-03-14 to 2013-03-28 (NODC Accession 0124186)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0124186 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  15. Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Hi'ialakai in the North Pacific Ocean and Philippine Sea from 2014-03-05 to 2014-06-02 (NODC Accession 0119156)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0119156 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

  16. Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2014-07-24 to 2014-07-30 (NODC Accession 0125266)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125266 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

  17. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Reuben Lasker in the North Pacific Ocean from 2016-01-06 to 2016-01-30 (NCEI Accession 0150692)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0150692 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  18. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Okeanos Explorer in the North Pacific Ocean from 2015-10-07 to 2015-10-16 (NCEI Accession 0150689)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0150689 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  19. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Bell M. Shimada in the North Pacific Ocean from 2015-03-23 to 2015-05-01 (NCEI Accession 0131877)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0131877 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  20. Underway meteorological, navigational, optical, physical, profile, time series and trawl data collected aboard NOAA Ship Bell M. Shimada in the North Pacific Ocean from 2013-09-09 to 2013-09-16 (NODC Accession 0116842)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0116842 contains raw underway meteorological, navigational, optical, physical, profile, time series and trawl data logged by the Scientific Computer...

  1. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Rainier in the Coastal Waters of SE Alaska, Gulf of Alaska and North Pacific Ocean from 2015-04-25 to 2015-06-03 (NCEI Accession 0129420)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0129420 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  2. Underway meteorological and navigational data collected aboard NOAA Ship Ferdinand R. Hassler in the North Atlantic Ocean from 2015-06-29 to 2015-07-26 (NCEI Accession 0138028)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0138028 contains raw underway meteorological and navigational data logged by the Scientific Computer System (SCS) aboard NOAA Ship Ferdinand R....

  3. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T0N170W from 2006-08-25 to 2016-10-06 (NCEI Accession 0130057)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, BAROMETRIC PRESSURE, CURRENT DIRECTION,...

  4. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T5S165E from 2006-08-25 to 2016-10-06 (NCEI Accession 0131178)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  5. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T0N180W from 2006-08-25 to 2016-10-06 (NCEI Accession 0130058)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  6. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T5S180W from 2006-08-25 to 2016-10-06 (NCEI Accession 0131185)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  7. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T8S165E from 2006-08-25 to 2016-09-06 (NCEI Accession 0131444)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  8. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T2S155W from 2006-08-25 to 2016-10-06 (NCEI Accession 0130856)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  9. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T8S95W from 2006-08-25 to 2016-06-05 (NCEI Accession 0131447)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  10. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T0N110W from 2006-11-22 to 2016-10-07 (NCEI Accession 0130052)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, BAROMETRIC PRESSURE, CURRENT DIRECTION,...

  11. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T8S110W from 2006-08-25 to 2016-10-06 (NCEI Accession 0131194)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  12. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T2N180W from 2006-08-25 to 2016-10-06 (NCEI Accession 0130848)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  13. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T2N95W from 2006-08-25 to 2016-10-06 (NCEI Accession 0130852)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  14. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T2S95W from 2006-11-09 to 2016-10-06 (NCEI Accession 0131165)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  15. Chemical, in situ, meteorological, navigational, physical and profile data collected by Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Meteo France, Oceanographic Laboratory of Villefranche-sur-Mer and Oceanographic Observatory of Villefranche-sur-Mer at OceanSITES site DYFAMED from 1995-06-12 to 2016-05-18 (NCEI Accession 0130030)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Chemical, in situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, BAROMETRIC PRESSURE, CURRENT...

  16. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T2N140W from 2006-08-25 to 2016-10-06 (NCEI Accession 0130062)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  17. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T2S125W from 2006-08-25 to 2016-10-06 (NCEI Accession 0130854)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  18. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T8S155W from 2006-08-25 to 2016-10-06 (NCEI Accession 0131196)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  19. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T2N110W from 2006-11-20 to 2016-10-06 (NCEI Accession 0130060)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  20. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T2S140W from 2006-08-25 to 2016-10-06 (NCEI Accession 0130855)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  1. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T0N125W from 2006-09-01 to 2016-10-06 (NCEI Accession 0130053)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  2. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T5N110W from 2006-08-25 to 2016-10-06 (NCEI Accession 0131166)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  3. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T5N125W from 2006-08-27 to 2016-10-06 (NCEI Accession 0131167)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  4. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T2N155W from 2006-08-25 to 2016-10-05 (NCEI Accession 0130063)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  5. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T2N125W from 2006-08-25 to 2016-09-11 (NCEI Accession 0130061)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  6. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T0N155W from 2006-08-25 to 2016-10-06 (NCEI Accession 0130055)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  7. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T5S155W from 2007-07-22 to 2016-10-06 (NCEI Accession 0131177)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  8. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T5N180W from 2006-08-25 to 2016-10-06 (NCEI Accession 0131172)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  9. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T2S110W from 2006-11-22 to 2016-10-06 (NCEI Accession 0130853)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  10. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T9N140W from 2006-08-25 to 2016-09-06 (NCEI Accession 0131448)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  11. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T5S95W from 2006-11-08 to 2016-07-07 (NCEI Accession 0131186)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  12. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T2S165E from 2006-08-25 to 2016-10-06 (NCEI Accession 0130857)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  13. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T0N95W from 2006-08-25 to 2016-10-06 (NCEI Accession 0130059)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  14. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T8S125W from 2006-08-25 to 2016-10-06 (NCEI Accession 0131195)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  15. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T2N170W from 2006-08-25 to 2016-10-06 (NCEI Accession 0130198)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  16. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T5N170W from 2006-08-25 to 2016-10-06 (NCEI Accession 0131171)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  17. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T2S170W from 2006-08-25 to 2016-10-06 (NCEI Accession 0130858)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  18. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T8N95W from 2006-08-25 to 2016-10-06 (NCEI Accession 0131193)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  19. In situ, meteorological, navigational, physical and profile data collected by Italian National Institute of Oceanography and Experimental Geophysics; Experimental Geophysical Observatory at OceanSITES site E2M3A from 2002-09-16 to 2009-10-13 (NCEI Accession 0130031)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, BAROMETRIC PRESSURE, CONDUCTIVITY, DEPTH -...

  20. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T5N95W from 2006-08-25 to 2016-08-25 (NCEI Accession 0131173)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  1. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T8S180W from 2006-11-16 to 2016-09-06 (NCEI Accession 0131446)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  2. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T8N170W from 2006-08-25 to 2016-10-06 (NCEI Accession 0131191)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  3. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T2S180W from 2006-08-25 to 2016-10-06 (NCEI Accession 0131164)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  4. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T5S170W from 2006-08-25 to 2016-10-06 (NCEI Accession 0131184)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  5. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T8S170W from 2006-08-25 to 2016-09-06 (NCEI Accession 0131445)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  6. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T2N165E from 2006-08-25 to 2016-10-06 (NCEI Accession 0130064)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  7. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T8N180W from 2006-08-25 to 2016-10-06 (NCEI Accession 0131192)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  8. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T5S110W from 2006-08-25 to 2016-10-06 (NCEI Accession 0131174)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  9. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T8N125W from 2006-08-26 to 2016-10-06 (NCEI Accession 0131188)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  10. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T8N165E from 2006-08-25 to 2016-10-06 (NCEI Accession 0131190)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  11. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T0N165E from 2006-08-25 to 2016-10-06 (NCEI Accession 0130056)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, BAROMETRIC PRESSURE, CURRENT DIRECTION,...

  12. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; OAR; Pacific Marine Environmental Laboratory at OceanSITES site P12N23W from 2006-06-08 to 2013-02-27 (NCEI Accession 0130047)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, BAROMETRIC PRESSURE, CURRENT DIRECTION,...

  13. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T8N110W from 2006-08-25 to 2016-10-06 (NCEI Accession 0131187)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  14. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T5N155W from 2006-08-25 to 2016-10-06 (NCEI Accession 0131169)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  15. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T0N140W from 2006-08-25 to 2016-10-06 (NCEI Accession 0130054)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, BAROMETRIC PRESSURE, CURRENT DIRECTION,...

  16. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T5N140W from 2006-08-25 to 2016-10-06 (NCEI Accession 0131168)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  17. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T5N165E from 2006-08-25 to 2016-10-06 (NCEI Accession 0131170)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  18. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T5S125W from 2006-08-25 to 2016-10-06 (NCEI Accession 0131175)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  19. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T8N155W from 2006-08-25 to 2016-10-06 (NCEI Accession 0131189)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  20. In situ, meteorological, navigational, physical and profile data collected by US DOC; NOAA; NWS; National Data Buoy Center at OceanSITES site T5S140W from 2006-08-25 to 2016-10-06 (NCEI Accession 0131176)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In situ, meteorological, navigational, physical and profile oceanographic data were collected, including AIR TEMPERATURE, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE,...

  1. The prediction of zenith range refraction from surface measurements of meteorological parameters. [mathematical models of atmospheric refraction used to improve spacecraft tracking space navigation

    Science.gov (United States)

    Berman, A. L.

    1976-01-01

    In the last two decades, increasingly sophisticated deep space missions have placed correspondingly stringent requirements on navigational accuracy. As part of the effort to increase navigational accuracy, and hence the quality of radiometric data, much effort has been expended in an attempt to understand and compute the tropospheric effect on range (and hence range rate) data. The general approach adopted has been that of computing a zenith range refraction, and then mapping this refraction to any arbitrary elevation angle via an empirically derived function of elevation. The prediction of zenith range refraction derived from surface measurements of meteorological parameters is presented. Refractivity is separated into wet (water vapor pressure) and dry (atmospheric pressure) components. The integration of dry refractivity is shown to be exact. Attempts to integrate wet refractivity directly prove ineffective; however, several empirical models developed by the author and other researchers at JPL are discussed. The best current wet refraction model is here considered to be a separate day/night model, which is proportional to surface water vapor pressure and inversely proportional to surface temperature. Methods are suggested that might improve the accuracy of the wet range refraction model.

  2. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Coastal Waters of SE Alaska, Gulf of Alaska and North Pacific Ocean from 2013-09-24 to 2013-11-03 (NODC Accession 0124206)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0124206 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  3. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Coastal Waters of SE Alaska, Gulf of Alaska and North Pacific Ocean from 2016-02-03 to 2016-02-09 (NCEI Accession 0150730)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0150730 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  4. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Coastal Waters of SE Alaska, Gulf of Alaska and North Pacific Ocean from 2015-01-24 to 2015-01-30 (NODC Accession 0126876)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0126876 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  5. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Coastal Waters of SE Alaska, Gulf of Alaska and North Pacific Ocean from 2013-01-28 to 2013-02-03 (NODC Accession 0124297)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0124297 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  6. Underway meteorological, navigational, optical, physical, profile, time series and trawl data collected aboard NOAA Ship Bell M. Shimada in the Coastal Waters of SE Alaska and North Pacific Ocean from 2013-06-06 to 2013-09-09 (NODC Accession 0116843)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0116843 contains raw underway meteorological, navigational, optical, physical, profile, time series and trawl data logged by the Scientific Computer...

  7. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Bell M. Shimada in the Coastal Waters of SE Alaska and North Pacific Ocean from 2014-06-24 to 2014-09-14 (NODC Accession 0121964)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0121964 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  8. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Bell M. Shimada in the Coastal Waters of SE Alaska and North Pacific Ocean from 2015-06-20 to 2015-09-10 (NCEI Accession 0131258)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0131258 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  9. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Coastal Waters of SE Alaska, Gulf of Alaska and North Pacific Ocean from 2016-01-30 to 2016-02-09 (NCEI Accession 0150729)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0150729 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  10. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Bell M. Shimada in the Coastal Waters of SE Alaska and North Pacific Ocean from 2015-02-11 to 2015-03-03 (NODC Accession 0126536)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0126536 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  11. Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Ronald H. Brown in the Coastal Waters of SE Alaska, Gulf of Alaska and North Pacific Ocean from 2015-07-14 to 2015-08-03 (NCEI Accession 0130369)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0130369 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

  12. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Reuben Lasker in the Coastal Waters of SE Alaska, Gulf of Alaska and others from 2015-07-09 to 2015-10-22 (NCEI Accession 0132081)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0132081 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  13. Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Bell M. Shimada in the Coastal Waters of SE Alaska and North Pacific Ocean from 2016-03-16 to 2016-03-20 (NCEI Accession 0151240)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0151240 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

  14. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Coastal Waters of SE Alaska, Gulf of Alaska and North Pacific Ocean from 2013-04-04 to 2013-04-15 (NODC Accession 0124185)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0124185 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  15. Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Reuben Lasker in the Coastal Waters of SE Alaska, North Atlantic Ocean and North Pacific Ocean from 2015-10-26 to 2015-11-09 (NCEI Accession 0150690)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0150690 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

  16. Celestial polarization patterns sufficient for Viking navigation with the naked eye: detectability of Haidinger's brushes on the sky versus meteorological conditions.

    Science.gov (United States)

    Horváth, Gábor; Takács, Péter; Kretzer, Balázs; Szilasi, Szilvia; Száz, Dénes; Farkas, Alexandra; Barta, András

    2017-02-01

    If a human looks at the clear blue sky from which light with high enough degree of polarization d originates, an 8-shaped bowtie-like figure, the yellow Haidinger's brush can be perceived, the long axis of which points towards the sun. A band of high d arcs across the sky at 90° from the sun. A person can pick two points on that band, observe the yellow brushes and triangulate the position of the sun based on the orientation of the two observed brushes. This method has been suggested to have been used on the open sea by Viking navigators to determine the position of the invisible sun occluded by cloud or fog. Furthermore, Haidinger's brushes can also be used to locate the sun when it is below the horizon or occluded by objects on the horizon. To determine the position of the sun using the celestial polarization pattern, the d of the portion of the sky used must be greater than the viewer's degree of polarization threshold d* for perception of Haidinger's brushes. We studied under which sky conditions the prerequisite d > d* is satisfied. Using full-sky imaging polarimetry, we measured the d-pattern of skylight in the blue (450 nm) spectral range for 1296 different meteorological conditions with different solar elevation angles θ and per cent cloud cover ρ. From the measured d-patterns of a given sky we determined the proportion P of the sky for which d > d*. We obtained that P is the largest at low solar elevations θ ≈ 0° and under totally or nearly clear skies with cloud coverage ρ = 0%, when the sun's position is already easily determined. If the sun is below the horizon (-5° ≤ θ see text] under clear sky conditions. Consequently, the sky-polarimetric Viking navigation based on Haidinger's brushes is most useful after sunset and prior to sunrise, when the sun is not visible and large sky regions are bright, clear and polarized enough for perception of Haidinger's brushes.

  17. Celestial polarization patterns sufficient for Viking navigation with the naked eye: detectability of Haidinger's brushes on the sky versus meteorological conditions

    Science.gov (United States)

    Takács, Péter; Kretzer, Balázs; Szilasi, Szilvia; Száz, Dénes; Farkas, Alexandra; Barta, András

    2017-01-01

    If a human looks at the clear blue sky from which light with high enough degree of polarization d originates, an 8-shaped bowtie-like figure, the yellow Haidinger's brush can be perceived, the long axis of which points towards the sun. A band of high d arcs across the sky at 90° from the sun. A person can pick two points on that band, observe the yellow brushes and triangulate the position of the sun based on the orientation of the two observed brushes. This method has been suggested to have been used on the open sea by Viking navigators to determine the position of the invisible sun occluded by cloud or fog. Furthermore, Haidinger's brushes can also be used to locate the sun when it is below the horizon or occluded by objects on the horizon. To determine the position of the sun using the celestial polarization pattern, the d of the portion of the sky used must be greater than the viewer's degree of polarization threshold d* for perception of Haidinger's brushes. We studied under which sky conditions the prerequisite d > d* is satisfied. Using full-sky imaging polarimetry, we measured the d-pattern of skylight in the blue (450 nm) spectral range for 1296 different meteorological conditions with different solar elevation angles θ and per cent cloud cover ρ. From the measured d-patterns of a given sky we determined the proportion P of the sky for which d > d*. We obtained that P is the largest at low solar elevations θ ≈ 0° and under totally or nearly clear skies with cloud coverage ρ = 0%, when the sun's position is already easily determined. If the sun is below the horizon (−5° ≤ θ < 0°) during twilight, P = 76.17 ± 4.18% for dmin∗=23% under clear sky conditions. Consequently, the sky-polarimetric Viking navigation based on Haidinger's brushes is most useful after sunset and prior to sunrise, when the sun is not visible and large sky regions are bright, clear and polarized enough for perception of Haidinger

  18. Celestial polarization patterns sufficient for Viking navigation with the naked eye: detectability of Haidinger's brushes on the sky versus meteorological conditions

    Science.gov (United States)

    Horváth, Gábor; Takács, Péter; Kretzer, Balázs; Szilasi, Szilvia; Száz, Dénes; Farkas, Alexandra; Barta, András

    2017-02-01

    If a human looks at the clear blue sky from which light with high enough degree of polarization d originates, an 8-shaped bowtie-like figure, the yellow Haidinger's brush can be perceived, the long axis of which points towards the sun. A band of high d arcs across the sky at 90° from the sun. A person can pick two points on that band, observe the yellow brushes and triangulate the position of the sun based on the orientation of the two observed brushes. This method has been suggested to have been used on the open sea by Viking navigators to determine the position of the invisible sun occluded by cloud or fog. Furthermore, Haidinger's brushes can also be used to locate the sun when it is below the horizon or occluded by objects on the horizon. To determine the position of the sun using the celestial polarization pattern, the d of the portion of the sky used must be greater than the viewer's degree of polarization threshold d* for perception of Haidinger's brushes. We studied under which sky conditions the prerequisite d > d* is satisfied. Using full-sky imaging polarimetry, we measured the d-pattern of skylight in the blue (450 nm) spectral range for 1296 different meteorological conditions with different solar elevation angles θ and per cent cloud cover ρ. From the measured d-patterns of a given sky we determined the proportion P of the sky for which d > d*. We obtained that P is the largest at low solar elevations θ ≈ 0° and under totally or nearly clear skies with cloud coverage ρ = 0%, when the sun's position is already easily determined. If the sun is below the horizon (-5° ≤ θ regions are bright, clear and polarized enough for perception of Haidinger's brushes.

  19. Process mineralogy IX

    Energy Technology Data Exchange (ETDEWEB)

    Petruk, W.; Hagni, R.D.; Pignolet-Brandom, S.; Hausen, D.M. (eds.) (Canada Centre for Mineral and Energy Technology, Ottawa, ON (Canada))

    1990-01-01

    54 papers are presented under the headings: keynote address; process mineralogy applications to mineral processing; process mineralogy applications to gold; process mineralogy applications to pyrometallurgy and hydrometallurgy; process mineralogy applications to environment and health; and process mineralogy applications to synthetic materials. Subject and author indexes are provided. Three papers have been abstracted separately.

  20. Motivational Meteorology.

    Science.gov (United States)

    Benjamin, Lee

    1993-01-01

    Describes an introductory meteorology course for nonacademic high school students. The course is made hands-on by the use of an educational software program offered by Accu-Weather. The program contains a meteorology database and instructional modules. (PR)

  1. Introduction to Mineralogy

    Science.gov (United States)

    Knittle, Elise

    A course in mineralogy is a rite of passage for most undergraduate Earth sciences majors. As fluency with minerals is so basic for deciphering a range of geologic processes, many Earth scientists can recall long hours in the lab memorizing mineral samples, their chemical formulae and crystal systems, and perhaps staring through a petrographic microscope wondering, what exactly is 2V? In this venerable field with so many classic textbooks, one might ask why another mineralogy text is warranted.Introduction to Mineralogy is organized in a traditional way, with Part I covering the topics of symmetry, crystallography, crystal chemistry and structure, and crystal growth. Part II covers physical properties of minerals and methods for studying mineral structures and chemistry (including optical mineralogy and x-ray diffraction), and Part III presents the systematic mineralogy of all of the mineral groups.

  2. Meteorology Online.

    Science.gov (United States)

    Kahl, Jonathan D. W.

    2001-01-01

    Describes an activity to learn about meteorology and weather using the internet. Discusses the National Weather Service (NWS) internet site www.weather.gov. Students examine maximum and minimum daily temperatures, wind speed, and direction. (SAH)

  3. Meteorological Summaries

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Multi-year summaries of one or more meteorological elements at a station or in a state. Primarily includes Form 1078, a United States Weather Bureau form designed...

  4. Mineralogy in Geotechnical Engineering

    Directory of Open Access Journals (Sweden)

    A. Namdar

    2010-01-01

    Full Text Available The several investigations on soils by different researchers have been executed, but research on soil mechanical propertiesbased on mineralogy is very meager, in this regard the author intention is employee of natural minerals for evaluation of soilcohesion, it may leads to developments of a soil with appropriates characteristics in permeability, transmitting load, resistingagainst deformation and settlement. This paper deals with analysis of soil cohesion based on mineralogy. The result revealedcohesion of a plastic soil could be improve by mineral presented in an non plastic soil, and also carbonate has negative affecton soil cohesion and some other soil minerals also have same affect on cohesion that required to be more investigate.

  5. Environmental Mineralogical Materials

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    @@Basic properties, including surface absorption, porous filtration, ion exchange, heat effect and chemical solubility of environmental mineralogical materials, are widely applied to the pollution prevention environment improvement. The pollunian prevenition environmenr means the quality improvement of surface water, groundwater, river, lake and ground reservoir: the improvement of soil, the disposal of nuclear waste, the purification of domestic sewage, the collection of smoke and dust and the treatment of waste water. The prospective investigation and utilization of environmental mineralogical materials have been dealt with in more detail by the author of this paper with emphases on the prevention and control of soil contamination by heavy metals, on the quality im provement and treatment of surface water and groundwater,and on the collection of smoke and dust arising from burning coals.

  6. Sulfide Mineralogy and Geochemistry

    Science.gov (United States)

    Dilles, John

    2007-02-01

    Reviews in Mineralogy and Geochemistry Series, Volume 61 David J. Vaughan, Editor Geochemical Society and Mineralogical Society of America; ISBN 0-939950-73-1 xiii + 714 pp.; 2006; $40. Sulfide minerals as a class represent important minor rock-forming minerals, but they are generally known as the chief sources of many economic metallic ores. In the past two decades, sulfide research has been extended to include important roles in environmental geology of sulfide weathering and resultant acid mine drainage, as well as in geomicrobiology in which bacteria make use of sulfides for metabolic energy sources. In the latter respect, sulfides played an important role in early evolution of life on Earth and in geochemical cycling of elements in the Earth's crust and hydrosphere.

  7. AUTOMATIC NAVIGATION.

    Science.gov (United States)

    NAVIGATION, REPORTS), (*CONTROL SYSTEMS, *INFORMATION THEORY), ABSTRACTS, OPTIMIZATION, DYNAMIC PROGRAMMING, GAME THEORY, NONLINEAR SYSTEMS, CORRELATION TECHNIQUES, FOURIER ANALYSIS, INTEGRAL TRANSFORMS, DEMODULATION, NAVIGATION CHARTS, PATTERN RECOGNITION, DISTRIBUTION THEORY , TIME SHARING, GRAPHICS, DIGITAL COMPUTERS, FEEDBACK, STABILITY

  8. LANL Meteorology Program

    Energy Technology Data Exchange (ETDEWEB)

    Dewart, Jean Marie [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

    2015-02-09

    The goal of the Meteorology Program is to provide all routine meteorology measurements for LANL operational requirements. This report discusses the program, its routine operations, and other services.

  9. Journal of Mineralogical and Petrological Sciences

    Science.gov (United States)

    Official journal of Japan Association of Mineralogical Sciences (JAMS), focusing on mineralogical and petrological sciences and their related fields. Journal of Mineralogical and Petrological Sciences (JMPS) is the successor journal to both “Journal of Mineralogy, Petrology and Economic Geology” and “Mineralogical Journal”. Journal of Mineralogical and Petrological Sciences (JMPS) is indexed in the ISI database (Thomson Reuters), the Science Citation Index-Expanded, Current Contents/Physical, Chemical & Earth Sciences, and ISI Alerting Services.

  10. A Miniature Robotic Plane Meteorological Sounding System

    Institute of Scientific and Technical Information of China (English)

    马舒庆; 陈洪滨; 汪改; 潘毅; 李强

    2004-01-01

    This article presents a miniature robotic plane meteorological sounding system RPMSS), which consists of three major subsystems: a miniature robotic plane, an air-borne meteorological sounding and flight control system, and a ground-based system. Take-off and landing of the miniature aircraft are guided by radio control, and the flight of the robotic plane along a pre-designed trajectory is automatically piloted by an onboard navigation system. The observed meteorological data as well as all flight information are sent back in real time to the ground, then displayed and recorded by the ground-based computer. The ground-based subsystem can also transmit instructions to the air-borne control subsystem. Good system performance has been demonstrated by more than 300 hours of flight for atmospheric sounding.

  11. Ecodesign Navigator

    DEFF Research Database (Denmark)

    Simon, M; Evans, S.; McAloone, Timothy Charles;

    The Ecodesign Navigator is the product of a three-year research project called DEEDS - DEsign for Environment Decision Support. The initial partners were Manchester Metropolitan University, Cranfield University, Engineering 6 Physical Sciences Resaech Council, Electrolux, ICL, and the Industry...

  12. Meteorology in the Middle Ages

    Science.gov (United States)

    Ólafsson, H.; Ágústsson, H.

    2009-04-01

    Several documents written in Iceland and Norway in the Middle Ages have been investigated in order to establish to what extent navigators and other educated people in the 10th to 13th centuries knew or did not know about mountain meteorology. In the 10th century, Egils Saga describes flow from land as katabatic. In some textbooks published in the 20th century, similar flows are explained as the inverse of sea-breeze (land-breeze). Numerical simulations of similar flows as in Egils Saga reveal on the other hand, that its author was right about the katabatic nature of the flows. In the documents describing the discovery of Greenland in the late 10th century, Bjarni Herjólfsson navigated erroneously, as he entered the Greenland barrier jet. Apparently, he did not foresee that the foggy southeasterly winds would inevitably turn left as they approached Greenland. A few years later, a ship is wrecked in a windstorm at the coast of W-Iceland. The windstorm is described in detail in Laxdaela Saga and resembles very much a downslope windstorm. Until now, an error in translation into English may have prevented such an interpretation of the windstorm.

  13. Meteorological Monitoring Program

    Energy Technology Data Exchange (ETDEWEB)

    Hancock, H.A. Jr. [ed.; Parker, M.J.; Addis, R.P.

    1994-09-01

    The purpose of this technical report is to provide a comprehensive, detailed overview of the meteorological monitoring program at the Savannah River Site (SRS) near Aiken, South Carolina. The principle function of the program is to provide current, accurate meteorological data as input for calculating the transport and diffusion of any unplanned release of an atmospheric pollutant. The report is recommended for meteorologists, technicians, or any personnel who require an in-depth understanding of the meteorological monitoring program.

  14. Statistical Physics in Meteorology

    OpenAIRE

    Ausloos, Marcel

    2004-01-01

    Various aspects of modern statistical physics and meteorology can be tied together. The historical importance of the University of Wroclaw in the field of meteorology is first pointed out. Next, some basic difference about time and space scales between meteorology and climatology is outlined. The nature and role of clouds both from a geometric and thermal point of view are recalled. Recent studies of scaling laws for atmospheric variables are mentioned, like studies on cirrus ice content, bri...

  15. Lectures in Micro Meteorology

    DEFF Research Database (Denmark)

    Larsen, Søren Ejling

    This report contains the notes from my lectures on Micro scale meteorology at the Geophysics Department of the Niels Bohr Institute of Copenhagen University. In the period 1993-2012, I was responsible for this course at the University. At the start of the course, I decided that the text books...... available in meteorology at that time did not include enough of the special flavor of micro meteorology that characterized the work of the meteorology group at Risø (presently of the Institute of wind energy of the Danish Technical University). This work was focused on Boundary layer flows and turbulence...

  16. Meteorological Archival Facility

    Data.gov (United States)

    Federal Laboratory Consortium — FUNCTION: The Bergen Data Center (BDC) provides data archival capability for meteorological and oceanographic data. DESCRIPTION: The BDC operates as a resource for...

  17. Classification of Meteorological Drought

    Institute of Scientific and Technical Information of China (English)

    Zhang Qiang; Zou Xukai; Xiao Fengjin; Lu Houquan; Liu Haibo; Zhu Changhan; An Shunqing

    2011-01-01

    Background The national standard of the Classification of Meteorological Drought (GB/T 20481-2006) was developed by the National Climate Center in cooperation with Chinese Academy of Meteorological Sciences,National Meteorological Centre and Department of Forecasting and Disaster Mitigation under the China Meteorological Administration (CMA),and was formally released and implemented in November 2006.In 2008,this Standard won the second prize of the China Standard Innovation and Contribution Awards issued by SAC.Developed through independent innovation,it is the first national standard published to monitor meteorological drought disaster and the first standard in China and around the world specifying the classification of drought.Since its release in 2006,the national standard of Classification of Meteorological Drought has been used by CMA as the operational index to monitor and drought assess,and gradually used by provincial meteorological sureaus,and applied to the drought early warning release standard in the Methods of Release and Propagation of Meteorological Disaster Early Warning Signal.

  18. Meteorological satellite systems

    CERN Document Server

    Tan, Su-Yin

    2014-01-01

    Meteorological Satellite Systems” is a primer on weather satellites and their Earth applications. This book reviews historic developments and recent technological advancements in GEO and polar orbiting meteorological satellites. It explores the evolution of these remote sensing technologies and their capabilities to monitor short- and long-term changes in weather patterns in response to climate change. Satellites developed by various countries, such as U.S. meteorological satellites, EUMETSAT, and Russian, Chinese, Japanese and Indian satellite platforms are reviewed. This book also discusses international efforts to coordinate meteorological remote sensing data collection and sharing. This title provides a ready and quick reference for information about meteorological satellites. It serves as a useful tool for a broad audience that includes students, academics, private consultants, engineers, scientists, and teachers.

  19. Wind Power Meteorology

    DEFF Research Database (Denmark)

    Lundtang Petersen, Erik; Mortensen, Niels Gylling; Landberg, Lars

    : wind profiles and shear, turbulence and gust, and extreme winds. The data used in wind power meteorology stem mainly from three sources: onsite wind measurements, the synoptic networks, and the re-analysis projects. Wind climate analysis, wind resource estimation and siting further require a detailed......Wind power meteorology has evolved as an applied science, firmly founded on boundary-layer meteorology, but with strong links to climatology and geography. It concerns itself with three main areas: siting of wind turbines, regional wind resource assessment, and short-term prediction of the wind...... resource. The history, status and perspectives of wind power meteorology are presented, with emphasis on physical considerations and on its practical application. Following a global view of the wind resource, the elements of boundary layer meteorology which are most important for wind energy are reviewed...

  20. US Marine Meteorological Journals

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This series consists of volumes entitled 'Meteorological Journal' (a regulation Navy-issue publication) which were to be completed by masters of merchant vessels...

  1. Wave Meteorology and Soaring

    Science.gov (United States)

    Wiley, Scott

    2008-01-01

    This viewgraph document reviews some mountain wave turbulence and operational hazards while soaring. Maps, photographs, and satellite images of the meteorological phenomena are included. Additionally, photographs of aircraft that sustained mountain wave damage are provided.

  2. Climate and meteorology

    Energy Technology Data Exchange (ETDEWEB)

    Hoitink, D.J.

    1995-06-01

    This section of the 1994 Hanford Site Environmental Report summarizes the significant activities conducted in 1994 to monitor the meteorology and climatology of the site. Meteorological measurements are taken to support Hanford Site emergency preparedness and response, Hanford Site operations, and atmospheric dispersion calculations. Climatological data are collected to help plan weather-dependent activities and are used as a resource to assess the environmental effects of Hanford Site operations.

  3. MINERALOGY

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    <正>20110079 Ding Kuiying(Weifang Entry-Exit Inspection and Quarantine Bureau of the People’s Republic of China,Weifang 261041,China);Zhu Maoxu The Effect of Low Molecular Weight Organic Acids to Phosphate Adsorption by Hydroxyaluminum/Iron-Montmorillonite Complexes(Acta Mineralogica Sinica,ISSN1000-4734,CN52-1045/P,30(1),2010,p.56-62,4 illus.,3 tables,13 refs.)Key words:organic acids,montmorillonit

  4. MINERALOGY

    Institute of Scientific and Technical Information of China (English)

    2009-01-01

    <正>20090867 Chen Quanli(Gemmological Institute, China University of Geosciences, Wuhan 430074,China);Qi Lijian Thermal Property of the Apatite Pseudomorphic Turquoise(Earth Science,ISSN1000-2383, CN42-1233/P,33(3),2008,p.416-422, 6 illus.,1 table,11 refs.)

  5. MINERALOGY

    Institute of Scientific and Technical Information of China (English)

    2009-01-01

    <正>20090143 Cao Ke (Research Center for Tibeten Plateau Geology, School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China); Li Xianghui Cretaceous Clay Minerals and Paleoclimate in Sichuan Basin (Acta Geologica Sinica, ISSN0001-5717, CN11-1951, 82(1), 2008, p.115-123, 3 illus., 3 tables, 30 refs., with English abstract)

  6. MINERALOGY

    Institute of Scientific and Technical Information of China (English)

    2015-01-01

    20150124Ji Liming(Key Laboratory of Petroleum Resources Research of Gansu Province,Lanzhou 730000,China);Ma Xiangxian Relationship between Methane Adsorption Capacity of Clay Minerals and Micropore Volume(Natural Gas Geoscience,ISSN1672-1926,CN62-1177/TE,25(2),2014,p.141-152,7illus.,4tables,21refs.)Key words:clay minerals The pore size,surface area and methane adsorption isotherm of clay-rich rocks are measured.Clay minerals mainly contain micropore of 3~100nm,and have two main in-

  7. METRODOS: Meteorological preprocessor chain

    DEFF Research Database (Denmark)

    Astrup, P.; Mikkelsen, T.; Deme, S.

    2001-01-01

    The METRODOS meteorological preprocessor chain combines measured tower data and coarse grid numerical weather prediction (NWP) data with local scale flow models and similarity scaling to give high resolution approximations of the meteorological situation. Based on available wind velocity...... and direction measurements/NWP predictions, the LINCOM or the MCF flow model determines the wind field on a 1/2 to 1 km grid over the area of interest, taking the influence of orography and mixed roughness into consideration. For each grid point the obtained wind and the most appropriate - normally the nearest...... - heat flux related measurement, e.g. a temperature gradient, are used to give local values of friction velocity and Monin-Obukhov length plus an estimate of the mixing height. The METRODOS meteorological preprocessor chain is an integral part of the RODOS - Real Time On Line Decision Support - program...

  8. Women Working in Meteorology

    Institute of Scientific and Technical Information of China (English)

    1998-01-01

    IN June of 1997, the Fengynn No. 2 meteorological satellite fixed itself in a synchronous orbit 35,800 kilometers above the Earth. Domestically designed and produced, this satellite filled an important gap in China’s space-based weather equipment: the Fengyun No. 2 can provide cloud charts about one third the area of the Earth with the longitude of central China as its center. It has already begun to play an important role in medium- and short-range forecasting, as well as tracking disastrous weather patterns. The Moving Control Division under the State Satellite Meteorological Center is the headquarters for the gronnd

  9. Navigation Lights - USACE IENC

    Data.gov (United States)

    Department of Homeland Security — These inland electronic Navigational charts (IENCs) were developed from available data used in maintenance of Navigation channels. Users of these IENCs should be...

  10. Computer Exercises in Meteorology.

    Science.gov (United States)

    Trapasso, L. Michael; Conner, Glen; Stallins, Keith

    Beginning with Western Kentucky University's (Bowling Green) fall 1999 semester, exercises required for the geography and meteorology course used computers for learning. This course enrolls about 250 students per year, most of whom choose it to fulfill a general education requirement. Of the 185 geography majors, it is required for those who…

  11. Surface Meteorology and Solar Energy

    Data.gov (United States)

    National Aeronautics and Space Administration — Surface Meteorology and Solar Energy data - over 200 satellite-derived meteorology and solar energy parameters, monthly averaged from 22 years of data, global solar...

  12. Meteorological Support in Scientific Ballooning

    Science.gov (United States)

    Schwantes, Chris; Mullenax, Robert

    2017-01-01

    The weather affects every portion of a scientific balloon mission, from payload integration to launch, float, and impact and recovery. Forecasting for these missions is very specialized and unique in many aspects. CSBF Meteorology incorporates data from NWSNCEP, as well as several international meteorological organizations, and NCAR. This presentation will detail the tools used and specifics on how CSBF Meteorology produces its forecasts.

  13. Apollo Onboard Navigation Techniques

    Science.gov (United States)

    Interbartolo, Michael

    2009-01-01

    This viewgraph presentation reviews basic navigation concepts, describes coordinate systems and identifies attitude determination techniques including Primary Guidance, Navigation and Control System (PGNCS) IMU management and Command and Service Module Stabilization and Control System/Lunar Module (LM) Abort Guidance System (AGS) attitude management. The presentation also identifies state vector determination techniques, including PGNCS coasting flight navigation, PGNCS powered flight navigation and LM AGS navigation.

  14. Inertial Navigation Sensors

    Science.gov (United States)

    2010-03-01

    Capteurs de navigation a faible cout et technologie d’integration) RTO-EN-SET-116(2010) 14. ABSTRACT For many navigation applications , improved...ABSTRACT For many navigation applications , improved accuracy/performance is not necessarily the most important issue, but meeting performance at...reduced cost and size is. In particular, small navigation sensor size allows the introduction of guidance, navigation, and control into applications

  15. Phobos surface spectra mineralogical modeling

    Science.gov (United States)

    Pajola, M.; Lazzarin, M.; Dalle Ore, C. M.; Cruikshank, D. P.; Roush, T. L.; Pendleton, Y.; Bertini, I.; Magrin, S.; Carli, C.; La Forgia, F.; Barbieri, C.

    2014-04-01

    A mineralogical model composed of a mixture of Tagish Lake meteorite (TL) and Pyroxene Glass (PM80) was presented in [1] to explain the surface reflectance of Phobos from 0.25 to 4.0 μm. The positive results we obtained, when comparing the OSIRIS data [2] extended in wavelength to include the [3,4] spectra, forced us to perform a wider comparison between our TL-PM80 model and the CRISM and OMEGA Phobos spectra presented in [5]. Such spectra cover three different regions of interest (ROIs) situated in the Phobos sub-Mars hemisphere: the interior of the Stickney crater, its eastern rim, and its proximity terrain southeast of the Reldresal crater. We decided to vary the percentage mixture of the components of our model (80% TL, 20% PM80), between pure TL and pure PM80, by means of the radiative transfer code based on the [6] formulation of the slab approximation. Once this spectral range was derived, see Fig. 1, we attempted to compare it with the [5] spectra between 0.4 and 2.6 μm, i.e. below the thermal emitted radiation, to see if any spectral match was possible. We observed that CRISM scaled spectra above 1.10 μm fall within pure Tagish Lake composition and the [1] model. The CRISM data below 1.10 μm present more discrepancies with our models, in particular for the Stickney's rim spectrum. Nevertheless the TL and PM80 components seem to be good mineralogical candidates on Phobos. We performed the same analysis with the OMEGA data and, again, we found out that the Stickney's rim spectrum lies out of our model range, while the two remaining spectra still lie between pure TL and 80% TL - 20% PM80, but indicating that a different, more complicated mixture is expected in order to explain properly both the spectral trend and the possible absorption bands located above 2.0 μm. Within this analysis, we point out that a big fraction of TL material (modeled pure or present with a minimum percentage of 80% mixed together with 20% PM80) seems to explain Phobos spectral

  16. Arctic hydrology and meteorology

    Energy Technology Data Exchange (ETDEWEB)

    Kane, D.L.

    1990-01-01

    During 1990, we have continued our meteorological and hydrologic data collection in support of our process-oriented research. The six years of data collected to data is unique in its scope and continuity in a North Hemisphere Arctic setting. This valuable data base has allowed us to further our understanding of the interconnections and interactions between the atmosphere/hydrosphere/biosphere/lithosphere. The increased understanding of the heat and mass transfer processes has allowed us to increase our model-oriented research efforts.

  17. Old Romanian Meteorological Terms

    Directory of Open Access Journals (Sweden)

    Pelin Liviu-Ioan

    2016-10-01

    Full Text Available This paper aims to present the evolution of the meteorological terminology, from the 17th century Grigore Ureche’s chronicle and bishop Amfilohie Hotiniul's manuscript on Physics (Moldavia, late 18th Century to the mid 19th century writings of Teodor Stamati (Moldova and Julius Barasch (Wallachia, also considering pop science literature, newspapers, such as “Albina Românească” and weather superstitions published in various calendars, and disputed by intelectuals like Mihail Kogălniceanu.

  18. The meteorology of Jupiter

    Science.gov (United States)

    Ingersoll, A. P.

    1976-01-01

    From the point of view of meteorology the most important differences between Jupiter and the earth are related to the fact that Jupiter has an appreciable internal energy source and probably lacks a solid surface. The composition and vertical structure of the Jovian atmosphere is considered along with the composition of Jovian cloud particles, turbulence in Jupiter's atmosphere, data on the horizontal structure and motions of the atmosphere, and questions related to the longevity of Jupiter's clouds. Attention is given to the barotropic characteristics of Jupiter's atmosphere, the radiation balance in the atmosphere of the earth and of Jupiter, and studies of the Great Red Spot.

  19. Wavelets in meteorology

    Science.gov (United States)

    Singh, Ram Chandra; Bhatla, Rajeev

    2012-07-01

    This paper deals with the meteorological applications of wavelets and fuzzy logics and a hybrid of wavelets and fuzzy logics. The wavelet transform has emerged over recent years as a powerful time-frequency analysis and signal coding tool favoured for the interrogation of complex non-stationary signals. It has been shown that the wavelet transform is a flexible time-frequency decomposition tool which can form the basis of useful time series analysis. It is expected to see an increased amount of research and technology development work in the coming years employing wavelets for various scientific and engineering applications.

  20. Mapping the Martian Meteorology

    Science.gov (United States)

    Allison, M.; Ross, J. D.; Solomon, N.

    1999-01-01

    The Mars-adapted version of the NASA/GISS general circulation model (GCM) has been applied to the hourly/daily simulation of the planet's meteorology over several seasonal orbits. The current running version of the model includes a diurnal solar cycle, CO2 sublimation, and a mature parameterization of upper level wave drag with a vertical domain extending from the surface up to the 6microb level. The benchmark simulations provide a four-dimensional archive for the comparative evaluation of various schemes for the retrieval of winds from anticipated polar orbiter measurements of temperatures by the Pressure Modulator Infrared Radiometer. Additional information is contained in the original extended abstract.

  1. Optical Navigation System Project

    Data.gov (United States)

    National Aeronautics and Space Administration — This proposal is for a flexible navigation system for deep space operations that does not require GPS measurements. The navigation solution is computed using an...

  2. Optical Navigation System Project

    Data.gov (United States)

    National Aeronautics and Space Administration — This proposal is for a flexible navigation system for deep space operations that does not require GPS measurements. The navigation solution is computed using an...

  3. 14 CFR Appendix G to Part 121 - Doppler Radar and Inertial Navigation System (INS): Request for Evaluation; Equipment and...

    Science.gov (United States)

    2010-01-01

    ... crewmembers, dispatchers, and maintenance personnel. (b) For pilots, instruction in the following: (1) Theory... latitudes, a review of navigation, flight planning, and applicable meteorology. (3) The methods for updating...

  4. 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...

  5. Stereoscopic observations from meteorological satellites

    Science.gov (United States)

    Hasler, A. F.; Mack, R.; Negri, A.

    The capability of making stereoscopic observations of clouds from meteorological satellites is a new basic analysis tool with a broad spectrum of applications. Stereoscopic observations from satellites were first made using the early vidicon tube weather satellites (e.g., Ondrejka and Conover [1]). However, the only high quality meteorological stereoscopy from low orbit has been done from Apollo and Skylab, (e.g., Shenk et al. [2] and Black [3], [4]). Stereoscopy from geosynchronous satellites was proposed by Shenk [5] and Bristor and Pichel [6] in 1974 which allowed Minzner et al. [7] to demonstrate the first quantitative cloud height analysis. In 1978 Bryson [8] and desJardins [9] independently developed digital processing techniques to remap stereo images which made possible precision height measurement and spectacular display of stereograms (Hasler et al. [10], and Hasler [11]). In 1980 the Japanese Geosynchronous Satellite (GMS) and the U.S. GOES-West satellite were synchronized to obtain stereo over the central Pacific as described by Fujita and Dodge [12] and in this paper. Recently the authors have remapped images from a Low Earth Orbiter (LEO) to the coordinate system of a Geosynchronous Earth Orbiter (GEO) and obtained stereoscopic cloud height measurements which promise to have quality comparable to previous all GEO stereo. It has also been determined that the north-south imaging scan rate of some GEOs can be slowed or reversed. Therefore the feasibility of obtaining stereoscopic observations world wide from combinations of operational GEO and LEO satellites has been demonstrated. Stereoscopy from satellites has many advantages over infrared techniques for the observation of cloud structure because it depends only on basic geometric relationships. Digital remapping of GEO and LEO satellite images is imperative for precision stereo height measurement and high quality displays because of the curvature of the earth and the large angular separation of the

  6. Japanese Advanced Meteorological Imager

    Science.gov (United States)

    Puschell, Jeffery J.; Lowe, Howard A.; Jeter, James W.; Kus, Steven M.; Osgood, Roderic; Hurt, W. Todd; Gilman, David; Rogers, David L.; Hoelter, Roger L.; Kamel, Ahmed

    2005-01-01

    The Japanese Advanced Meteorological Imager (JAMI) was developed by Raytheon and delivered to Space Systems/Loral as the Imager Subsystem for Japan's MTSAT-1R satellite. Due to Japan's urgent need to replace MTSAT-1, which was destroyed in a launch failure in 1999, JAMI was developed on an expeditious 39-month schedule. Raytheon's success in responding to the needs of MTSAT-1R and delivering an excellent operational geosynchronous Earth orbit (GEO) imager was enabled by an elegant instrument architecture and use of newer but proven technology that simplified design, assembly and test of the Imager while simultaneously supplying superior performance. JAMI breaks through limitations of earlier three-axis stabilized GEO instruments with significant improvements in many areas, including spatial sampling, radiometric sensitivity, calibration and performance around local midnight.

  7. Meteorology as an infratechnology

    Science.gov (United States)

    Williams, G. A.; Smith, L. A.

    2003-04-01

    From an economists perspective, meteorology is an underpinning or infratechnology in the sense that in general it does not of its own accord lead to actual products. Its value added comes from the application of its results to the activities of other forms of economic and technological activity. This contribution discusses both the potential applications of meteorology as an ininfratechnology, and quantifying its socio-economic impact. Large economic and social benefits are both likely in theory and can be identified in practice. Case studies of particular weather dependent industries or particular episodes are suggested, based on the methodology developed by NIST to analyze the social impact of technological innovation in US industries (see www.nist.gov/director/planning/strategicplanning.htm ). Infratechnologies can provide economic benefits in the support of markets. Incomplete information is a major cause of market failure because it inhibits the proper design of contracts. The performance of markets in general can be influenced by strategies adopted by different firms within a market to regulate the performance of others especially suppliers or purchasers. This contribution will focus on benefits to society from mechanisms which enhance and enforce mitigating actions. When the market mechanism fails, who might social benefits be gained, for example, by widening the scope of authorities to ensure that those who could have taken mitigating action, given prior warning, cover the costs. This goes beyond the design and implementation of civil responses to severe weather warnings to include the design of legislative recourse in the event of negligence given prior knowledge, or the modification of insurance contracts. The aim here, for example, would be to avoid the loss of an oil tanker in heavy seas at a location where a high probability of heavy seas had been forecast for some time.

  8. Radar and electronic navigation

    CERN Document Server

    Sonnenberg, G J

    2013-01-01

    Radar and Electronic Navigation, Sixth Edition discusses radar in marine navigation, underwater navigational aids, direction finding, the Decca navigator system, and the Omega system. The book also describes the Loran system for position fixing, the navy navigation satellite system, and the global positioning system (GPS). It reviews the principles, operation, presentations, specifications, and uses of radar. It also describes GPS, a real time position-fixing system in three dimensions (longitude, latitude, altitude), plus velocity information with Universal Time Coordinated (UTC). It is accur

  9. Space Shuttle navigation validation

    Science.gov (United States)

    Ragsdale, A.

    The validation of the guidance, navigation, and control system of the Space Shuttle is explained. The functions of the ascent, on-board, and entry mission phases software of the navigation system are described. The common facility testing, which evaluates the simulations to be used in the navigation validation, is examined. The standard preflight analysis of the operational modes of the navigation software and the post-flight navigation analysis are explained. The conversion of the data into a useful reference frame and the use of orbit parameters in the analysis of the data are discussed. Upon entry the data received are converted to flags, ratios, and residuals in order to evaluate performance and detect errors. Various programs developed to support navigation validation are explained. A number of events that occurred with the Space Shuttle's navigation system are described.

  10. Calculating the Weather: Deductive Reasoning and Disciplinary "Telos" in Cleveland Abbe's Rhetorical Transformation of Meteorology

    Science.gov (United States)

    Majdik, Zoltan P.; Platt, Carrie Anne; Meister, Mark

    2011-01-01

    This paper explores the rhetorical basis of a major paradigm change in meteorology, from a focus on inductive observation to deductive, mathematical reasoning. Analysis of Cleveland Abbe's "The Physical Basis of Long-Range Weather Forecasts" demonstrates how in his advocacy for a new paradigm, Abbe navigates the tension between piety to tradition…

  11. Gold process mineralogy: Objectives, techniques, and applications

    Science.gov (United States)

    Zhou, Joe Y.; Cabri, Louis J.

    2004-07-01

    The extractive metallurgy of gold is largely driven by mineralogical factors such as gold particle size; association with other minerals; coatings; presence of cyanicides, oxygen consumers, and preg-robbers; presence of refractory gold minerals; and locking of submicroscopic gold in sulfide and sulfarsenide mineral structures. Gold process mineralogy addresses all issues related to gold ore processing by the detailed study of an ore or a mill product. The methodology is widely used as a predictive tool in feasibility studies and during the process development stage, and as a trouble-shooting tool for mineral processing and hydrometallurgical operations.

  12. Meteorological radar services: a brief discussion and a solution in practice

    Science.gov (United States)

    Nicolaides, K. A.

    2014-08-01

    The Department of Meteorology is the organization designated by the Civil Aviation Department and by the National Supervisory Authority of the Republic of Cyprus, as an air navigation service provider, based on the regulations of the Single European Sky. Department of Meteorology holds and maintains also an ISO: 9001/2008, Quality System, for the provision of meteorological and climatological services to aeronautic and maritime community, but also to the general public. In order to fulfill its obligations the Department of Meteorology customs the rather dense meteorological stations network, with long historical data series, installed and maintained by the Department, in parallel with modelling and Numerical Weather Prediction (NWP), along with training and gaining of expertise. Among the available instruments in the community of meteorologists is the meteorological radar, a basic tool for the needs of very short/short range forecasting (nowcasting). The Department of Meteorology installed in the mid 90's a C-band radar over «Throni» location and expanded its horizons in nowcasting, aviation safety and warnings issuance. The radar has undergone several upgrades but today technology has over passed its rather old technology. At the present the Department of Meteorology is in the process of buying Meteorological Radar Services as a result of a public procurement procedure. Two networked X-band meteorological radar will be installed (the project now is in the phase of infrastructure establishment while the hardware is in the process of assemble), and maintained from Space Hellas (the contractor) for a 13 years' time period. The present article must be faced as a review article of the efforts of the Department of Meteorology to support its weather forecasters with data from meteorological radar.

  13. Arctic hydrology and meteorology

    Energy Technology Data Exchange (ETDEWEB)

    Kane, D.L.

    1989-01-01

    To date, five years of hydrologic and meteorologic data have been collected at Imnavait Creek near Toolik Lake, Alaska. This is the most complete set of field data of this type collected in the Arctic of North America. These data have been used in process-oriented research to increase our understanding of atmosphere/hydrosphere/biosphere/lithosphere interactions. Basically, we are monitoring heat and mass transfer between various spheres to quantify rates. These could be rates of mass movement such as hillslope flow or rates of heat transfer for active layer thawing or combined heat and mass processes such as evapotranspiration. We have utilized a conceptual model to predict hydrologic processes. To test the success of this model, we are comparing our predicted rates of runoff and snowmelt to measured valves. We have also used a surface energy model to simulate active layer temperatures. The final step in this modeling effort to date was to predict what impact climatic warming would have on active layer thicknesses and how this will influence the hydrology of our research watershed by examining several streambeds.

  14. Silicate mineralogy at the surface of Mercury

    Science.gov (United States)

    Namur, Olivier; Charlier, Bernard

    2017-01-01

    NASA's MESSENGER spacecraft has revealed geochemical diversity across Mercury's volcanic crust. Near-infrared to ultraviolet spectra and images have provided evidence for the Fe2+-poor nature of silicate minerals, magnesium sulfide minerals in hollows and a darkening component attributed to graphite, but existing spectral data is insufficient to build a mineralogical map for the planet. Here we investigate the mineralogical variability of silicates in Mercury's crust using crystallization experiments on magmas with compositions and under reducing conditions expected for Mercury. We find a common crystallization sequence consisting of olivine, plagioclase, pyroxenes and tridymite for all magmas tested. Depending on the cooling rate, we suggest that lavas on Mercury are either fully crystallized or made of a glassy matrix with phenocrysts. Combining the experimental results with geochemical mapping, we can identify several mineralogical provinces: the Northern Volcanic Plains and Smooth Plains, dominated by plagioclase, the High-Mg province, strongly dominated by forsterite, and the Intermediate Plains, comprised of forsterite, plagioclase and enstatite. This implies a temporal evolution of the mineralogy from the oldest lavas, dominated by mafic minerals, to the youngest lavas, dominated by plagioclase, consistent with progressive shallowing and decreasing degree of mantle melting over time.

  15. Image Based Indoor Navigation

    OpenAIRE

    Noreikis, Marius

    2014-01-01

    Over the last years researchers proposed numerous indoor localisation and navigation systems. However, solutions that use WiFi or Radio Frequency Identification require infrastructure to be deployed in the navigation area and infrastructureless techniques, e.g. the ones based on mobile cell ID or dead reckoning suffer from large accuracy errors. In this Thesis, we present a novel approach of infrastructure-less indoor navigation system based on computer vision Structure from Motion techniques...

  16. Indoor wayfinding and navigation

    CERN Document Server

    2015-01-01

    Due to the widespread use of navigation systems for wayfinding and navigation in the outdoors, researchers have devoted their efforts in recent years to designing navigation systems that can be used indoors. This book is a comprehensive guide to designing and building indoor wayfinding and navigation systems. It covers all types of feasible sensors (for example, Wi-Fi, A-GPS), discussing the level of accuracy, the types of map data needed, the data sources, and the techniques for providing routes and directions within structures.

  17. SITE-94. Mineralogy of the Aespoe site

    Energy Technology Data Exchange (ETDEWEB)

    Andersson, Karin [Chalmers Univ. of Technology, Goeteborg (Sweden). Technical Environmental Planning

    1996-12-01

    The water composition has several impacts on the repository. It will influence the behaviour of the engineered materials (e.g. corrosion). It may also determine the possible solubility and speciation of released radionuclides. It also acts as a transport medium for the released elements. The groundwater composition and the potential development of the composition due to the presence of the repository as well as due to external variations is thus an important issue in a safety analysis. The development of the groundwater composition is strongly dependent on reactions with the minerals present in water bearing fractures. Here equilibrium chemistry may be of importance, but also reaction kinetics is important to the long-term behaviour. Within the SITE-94 project, a safety analysis is performed for the conditions at the Aespoe site. The mineralogy of the area has been evaluated from drill cores at various places at the site. In this report a recommendation for selection of mineralogy to be used in geochemical modelling of the repository is given. Calcite and iron containing minerals dominate the fracture filling mineralogy at the Aespoe site. Some typical fracture filling mineralogies may be identified in the fractures: epidote, chlorite, calcite, hematite, some illite/smectite + quartz, fluorite, pyrite and goethite. In addition to these a number of minor minerals are found in the fractures. Uncertainties in the fracture filling data may be due to problems when taking out the drill cores. Drilling water may remove important clay minerals and sealed fractures may be reopened mechanically and treated as water conducting fractures. The problem of determining the variability of the mineralogy along the flow paths also remains. This problem will never be solved when the investigation is performed by drilling investigation holes

  18. Design of extensible meteorological data acquisition system based on FPGA

    Science.gov (United States)

    Zhang, Wen; Liu, Yin-hua; Zhang, Hui-jun; Li, Xiao-hui

    2015-02-01

    In order to compensate the tropospheric refraction error generated in the process of satellite navigation and positioning. Temperature, humidity and air pressure had to be used in concerned models to calculate the value of this error. While FPGA XC6SLX16 was used as the core processor, the integrated silicon pressure sensor MPX4115A and digital temperature-humidity sensor SHT75 are used as the basic meteorological parameter detection devices. The core processer was used to control the real-time sampling of ADC AD7608 and to acquire the serial output data of SHT75. The data was stored in the BRAM of XC6SLX16 and used to generate standard meteorological parameters in NEMA format. The whole design was based on Altium hardware platform and ISE software platform. The system was described in the VHDL language and schematic diagram to realize the correct detection of temperature, humidity, air pressure. The 8-channel synchronous sampling characteristics of AD7608 and programmable external resources of FPGA laid the foundation for the increasing of analog or digital meteorological element signal. The designed meteorological data acquisition system featured low cost, high performance, multiple expansions.

  19. NDBC Standard Meteorological Buoy Data

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The National Data Buoy Center (NDBC) distributes meteorological data from moored buoys maintained by NDBC and others. Moored buoys are the weather sentinels of the...

  20. Defense Meteorological Satellite Program (DMSP)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Defense Meteorological Satellite Program (DMSP) satellites collect visible and infrared cloud imagery as well as monitoring the atmospheric, oceanographic,...

  1. Mathematical problems in meteorological modelling

    CERN Document Server

    Csomós, Petra; Faragó, István; Horányi, András; Szépszó, Gabriella

    2016-01-01

    This book deals with mathematical problems arising in the context of meteorological modelling. It gathers and presents some of the most interesting and important issues from the interaction of mathematics and meteorology. It is unique in that it features contributions on topics like data assimilation, ensemble prediction, numerical methods, and transport modelling, from both mathematical and meteorological perspectives. The derivation and solution of all kinds of numerical prediction models require the application of results from various mathematical fields. The present volume is divided into three parts, moving from mathematical and numerical problems through air quality modelling, to advanced applications in data assimilation and probabilistic forecasting. The book arose from the workshop “Mathematical Problems in Meteorological Modelling” held in Budapest in May 2014 and organized by the ECMI Special Interest Group on Numerical Weather Prediction. Its main objective is to highlight the beauty of the de...

  2. Restricted Navigation Areas - USACE IENC

    Data.gov (United States)

    Department of Homeland Security — These inland electronic Navigational charts (IENCs) were developed from available data used in maintenance of Navigation channels. Users of these IENCs should be...

  3. Mineralogy and Surface Composition of Asteroids

    CERN Document Server

    Reddy, Vishnu; Thomas, Cristina A; Moskovitz, Nicholas A; Burbine, Thomas H

    2015-01-01

    Methods to constrain the surface mineralogy of asteroids have seen considerable development during the last decade with advancement in laboratory spectral calibrations and validation of our interpretive methodologies by spacecraft rendezvous missions. This has enabled the accurate identification of several meteorite parent bodies in the main asteroid belt and helped constrain the mineral chemistries and abundances in ordinary chondrites and basaltic achondrites. With better quantification of spectral effects due to temperature, phase angle, and grain size, systematic discrepancies due to non-compositional factors can now be virtually eliminated for mafic silicate-bearing asteroids. Interpretation of spectrally featureless asteroids remains a challenge. This paper presents a review of all mineralogical interpretive tools currently in use and outlines procedures for their application.

  4. Mineralogical Evolution in Extreme Debris Disks

    Science.gov (United States)

    Su, Kate

    2015-10-01

    Young (10-200 Myr), luminous (fractional luminosity on the order of 1.E-2) extreme debris disks provide a unique opportunity to explore exo-asteriod and exo-planetesimal collisions during the oligarchic and chaotic phases of terrestrial planet-building. We propose to obtain low-resolution grism spectra of four extreme debris disks to document and characterize the mineralogy changes in the mid-IR region where strong peaks originating from silica and forsterite dust can be easily identified. The proposed observations will supplement our on-going warm Spitzer monitoring program studying disk variability at 3.6 and 4.5 microns, provide immediate insights on the long-term mineralogical evolution in comparison with the existing Spitzer IRS spectra, and will bridge to similar studies that JWST will provide in the near future.

  5. An unpublished text of Jovellanos about mineralogy

    Directory of Open Access Journals (Sweden)

    Jorge ORDAZ GARGALLO

    2012-02-01

    Full Text Available An unpublished manuscript of Gaspar Melchor de Jovellanos about the history of mineralogy, written during his captivity in Bellver Castle (Palma de Mallorca is presented and analyzed. In this writing the importance of the chemical knowledge as a source of other branches of science and its applications in different fields of agriculture, mining and industry is considered. The author made a historical synthesis reviewing the men of science that contributed in a great extent to the advance of the chemistry and mineralogy. The text clearly supports the new contributions of Lavoisier and other supporters of experimentation as a scientific method, which agrees with Jovellanos’ ideas about the development of the «useful» sciences for the progress of the countries.

  6. An unpublished text of Jovellanos about mineralogy

    OpenAIRE

    Ordaz Gargallo, Jorge; Gutiérrez Claverol, Manuel; De Lorenzo Álvarez, Elena

    2012-01-01

    An unpublished manuscript of Gaspar Melchor de Jovellanos about the history of mineralogy, written during his captivity in Bellver Castle (Palma de Mallorca) is presented and analyzed. In this writing the importance of the chemical knowledge as a source of other branches of science and its applications in different fields of agriculture, mining and industry is considered. The author made a historical synthesis reviewing the men of science that contributed in a great extent to the advance of t...

  7. Talc pneumoconiosis: a pathologic and mineralogic study.

    Science.gov (United States)

    Gibbs, A E; Pooley, F D; Griffiths, D M; Mitha, R; Craighead, J E; Ruttner, J R

    1992-12-01

    Seventeen cases of "talc pneumoconiosis" were examined pathologically and mineralogically to ascertain whether a true talc pneumoconiosis existed and also to compare these results in primary, secondary, and tertiary exposures. Mineralogic analyses were performed on wet tissue or tissue blocks by a variety of techniques, including analytical transmission electron microscopy and x-ray diffraction. Overall, the pathologic appearance of the tissues was similar in primary, secondary, and tertiary exposures, although ferruginous bodies and foreign body giant cells were not always present in cases caused by secondary exposures. Mixed dust fibrotic lesions were found in two cases in which there were substantial quantities of quartz present. There was great variation in the minerals found within the lung tissues. Several cases showed significant quantities of mica and kaolin in addition to talc. One case consisted predominantly of mica and in fact could be regarded as "mica pneumoconiosis"; this diagnosis was correctly attributed because of the mineralogic findings. Tremolite fibers were found in only two cases. Substantial quantities of crocidolite and amosite fibers were found in one case. This study shows that "talcosis" frequently represents disease associated with a variety of minerals and that talc is a common denominator. It shows also the usefulness of lung dust mineral analysis, particularly in secondary industries, for evaluating the cause of a pathologic reaction when exposures are especially complex.

  8. 78 FR 68861 - Certain Navigation Products, Including GPS Devices, Navigation and Display Systems, Radar Systems...

    Science.gov (United States)

    2013-11-15

    ... COMMISSION Certain Navigation Products, Including GPS Devices, Navigation and Display Systems, Radar Systems... the United States after importation of certain navigation products, including GPS devices, navigation... products, including GPS devices, navigation and display systems, radar systems, navigational aids,...

  9. Algorithms for vehicle navigation

    OpenAIRE

    Storandt, Sabine

    2012-01-01

    Nowadays, navigation systems are integral parts of most cars. They allow the user to drive to a preselected destination on the shortest or quickest path by giving turn-by-turn directions. To fulfil this task the navigation system must be aware of the current position of the vehicle at any time, and has to compute the optimal route to the destination on that basis. Both of these subproblems have to be solved frequently, because the navigation system must react immediately if the vehicle leaves...

  10. Mobile Robot Navigation

    DEFF Research Database (Denmark)

    Andersen, Jens Christian

    2007-01-01

    Abstract Robots will soon take part in everyone’s daily life. In industrial production this has been the case for many years, but up to now the use of mobile robots has been limited to a few and isolated applications like lawn mowing, surveillance, agricultural production and military applications....... The research is now progressing towards autonomous robots which will be able to assist us in our daily life. One of the enabling technologies is navigation, and navigation is the subject of this thesis. Navigation of an autonomous robot is concerned with the ability of the robot to direct itself from...

  11. USACE Navigation Channels 2012

    Data.gov (United States)

    California Department of Resources — This dataset represents both San Francisco and Los Angeles District navigation channel lines. All San Francisco District channel lines were digitized from CAD files...

  12. Coastal Navigation Portfolio Management

    Science.gov (United States)

    2015-02-19

    the entire navigation portfolio of projects , both inland and coastal. The Coastal Structures Management , Analysis, and Ranking Tool (CSMART) is a...FEB 2015 2. REPORT TYPE 3. DATES COVERED 00-00-2015 to 00-00-2015 4. TITLE AND SUBTITLE Coastal Navigatoin Portfolio Management 5a. CONTRACT...CIRP.aspx Coastal Inlets Research Program Coastal Navigation Portfolio Management The Coastal Navigatoin Portfolio Management work unit

  13. China's Meteorological Satellite Application System

    Institute of Scientific and Technical Information of China (English)

    Zhang Jiashen

    2008-01-01

    @@ (Continued) Applications In Global Environment And Natural Disaster Monitoring 1) Application in world crop yield estimation China is now one of the few nations in the world that can provide operational service with both GEO and polar-orbit meteorological satellites.

  14. Meteorological Test Reference Case - Copenhagen

    DEFF Research Database (Denmark)

    Kragh, Mikkel Kristian

    1997-01-01

    The report describes a case study. Actual weather data is converted into input for hygrothermal calculations. A survey of the literature on calculation of driving rain is reported and a ‘driving rain potential’ is generated on the basis of hourly meteorological data for selected years. The study...

  15. Evaporation in hydrology and meteorology

    NARCIS (Netherlands)

    Brandsma, T.

    1990-01-01

    In this paper the role of evaporation in hydrology and meteorology is discussed, with the emphasis on hydrology. The basic theory of evaporation is given and methods to determine evaporation are presented. Some applications of evaporation studies in literature are given in order to illustrate the

  16. Surface meteorology and Solar Energy

    Science.gov (United States)

    Stackhouse, Paul W. (Principal Investigator)

    The Release 5.1 Surface meteorology and Solar Energy (SSE) data contains parameters formulated for assessing and designing renewable energy systems. Parameters fall under 11 categories including: Solar cooking, solar thermal applications, solar geometry, tilted solar panels, energy storage systems, surplus product storage systems, cloud information, temperature, wind, other meteorological factors, and supporting information. This latest release contains new parameters based on recommendations by the renewable energy industry and it is more accurate than previous releases. On-line plotting capabilities allow quick evaluation of potential renewable energy projects for any region of the world. The SSE data set is formulated from NASA satellite- and reanalysis-derived insolation and meteorological data for the 10-year period July 1983 through June 1993. Results are provided for 1 degree latitude by 1 degree longitude grid cells over the globe. Average daily and monthly measurements for 1195 World Radiation Data Centre ground sites are also available. [Mission Objectives] The SSE project contains insolation and meteorology data intended to aid in the development of renewable energy systems. Collaboration between SSE and technology industries such as the Hybrid Optimization Model for Electric Renewables ( HOMER ) may aid in designing electric power systems that employ some combination of wind turbines, photovoltaic panels, or diesel generators to produce electricity. [Temporal_Coverage: Start_Date=1983-07-01; Stop_Date=1993-06-30] [Spatial_Coverage: Southernmost_Latitude=-90; Northernmost_Latitude=90; Westernmost_Longitude=-180; Easternmost_Longitude=180].

  17. Evaporation in hydrology and meteorology

    NARCIS (Netherlands)

    Brandsma, T.

    1990-01-01

    In this paper the role of evaporation in hydrology and meteorology is discussed, with the emphasis on hydrology. The basic theory of evaporation is given and methods to determine evaporation are presented. Some applications of evaporation studies in literature are given in order to illustrate the th

  18. 33 CFR 209.325 - Navigation lights, aids to navigation, navigation charts, and related data policy, practices and...

    Science.gov (United States)

    2010-07-01

    ... 33 Navigation and Navigable Waters 3 2010-07-01 2010-07-01 false Navigation lights, aids to navigation, navigation charts, and related data policy, practices and procedure. 209.325 Section 209.325 Navigation and Navigable Waters CORPS OF ENGINEERS, DEPARTMENT OF THE ARMY, DEPARTMENT OF...

  19. Defense Meteorological Satellite Program (DMSP) Film

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The United States Air Force Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) is a polar orbiting meteorological sensor with two...

  20. Space Environment Deteation of Chinese Meteorological Satellites

    Institute of Scientific and Technical Information of China (English)

    XU Ying; WANG Shijin; ZHU Guangwu; LIANG Jinbao

    2004-01-01

    This paper presents the space environment detection of Chinese geosynchronous and sun-synchronous meteorological satellites and gives a short perspective of space environment observations on board meteorological satellites.

  1. Mineralogical Signatures in Electrically Coupled Marine Sediments

    Science.gov (United States)

    Bauermeister, A.; Gorby, Y. A.; Schramm, J.

    2014-12-01

    'Electric cable bacteria' are organisms of the family Desulfobulbaceaethat exhibit a novel method of electron transport. Cells form conductive filaments that function like electric wires, transferring electrons over distances of more than 1 cm from deep sulfidic sediments to oxygen or other electron acceptors near the soil/water interface. The rate of electron transfer across redox boundaries far exceeds that of diffusion limited processes and generates pH gradients that can significantly influence geochemical reactions, leading to the formation of distinct mineralogical profiles unlikely to be created by abiotic means. Electrically coupled sediments are characterized by carbonate and iron sulfide dissolution reactions occurring at depth and formation of carbonate and metal oxide crusts at the surface, exhibiting a reverse pattern compared to conventional sediment geochemistry. Our research seeks to address the following questions: How prevalent are electric cable bacteria in diverse environments? How do biogeochemical conditions such as ion concentration influence mineral formation? Do biogenic minerals participate in charge transfer? What is the importance of electric charge transfer in the subsurface or other low energy habitats? Can mineral banding patterns caused by cable bacteria activity be preserved in the geologic record? With this research we hope to further elucidate the impact of biologically-induced electric fields on the mineralogy of sediments.

  2. Beginnings of Satellite Navigation

    Directory of Open Access Journals (Sweden)

    Miljenko Solarić

    2008-05-01

    Full Text Available The first satellite navigation system called the Navy Navigation Satellite System (NNSS or TRANSIT was planned in the USA in 1958. It consisted of 5-6 artificial Earth satellites, was set in motion for the USA military in 1964, and in 1967 for civilian purposes. The frequency shift of received radio waves emitted from the satellite and caused by the Doppler effect was measured. The TRANSIT satellite speed of approaching or moving away was derived from that; the TRANSIT satellites emmited also their own coordinates. Then the ship's position was determined by an intersection of three hyperboloids, which were determined from differences of distances in three time intervals. Maintenance of this navigation system was stopped in 1996, but it is still being used in the USA Navy for exploring the ionosphere. Furthermore, results of Doppler measurements in international projects at the Hvar Observatory from 1982 and 1983. This was the first time in Croatia and the former country that the coordinates of the Hvar Observatory were determined in the unique world coordinate system WGS'72. The paper ends with a brief representation of the Tsiklon Doppler navigation system produced in the former Soviet Union, and there is a list of some of numerous produced and designed satellite navigation systems.Ključne riječi

  3. Editorial: Special issue on meteorological instruments

    Institute of Scientific and Technical Information of China (English)

    LYU; Wenhua

    2015-01-01

    The earth we live in is a wonderful and complicated system,meteorology is a science of researching the earth and serving the public,so every country in the world is putting its attention on meteorological observation,and World Meteorological Organization always putting its emphasis on weather,climate and

  4. Meteorological and Environmental Research Welcomes Your Papers!

    Institute of Scientific and Technical Information of China (English)

    2012-01-01

    Meteorological and Environmental Research (ISSN 2152-3940) is a comprehensive meteorological and environmental scientific journal founded by Wu Chu (USA-China) Science Culture Media Co. in January, 2010, in Rhode Island, USA. The journal covers main research and application areas of meteorology and environment, such as

  5. Technology and Meteorology. An Action Research Paper.

    Science.gov (United States)

    Taggart, Raymond F.

    Meteorology, the science of weather and weather conditions, has traditionally been taught via textbook and rote demonstration. This study was intended to determine to what degree utilizing technology in the study of meteorology improves students' attitudes towards science and to measure to what extent technology in meteorology increases…

  6. Meteorological and Environmental Research Welcomes Your Papers!

    Institute of Scientific and Technical Information of China (English)

    2012-01-01

    Meteorological and Environmental Research (ISSN 2152-3940) is a comprehensive meteorological and environmental scientific journal founded by Wu Chu (USA-China) Science & Culture Media Co. in January, 2010, in Rhode Island, USA. The journal covers main research and application areas of meteorology and environment, such as

  7. Syllabi for Instruction in Agricultural Meteorology.

    Science.gov (United States)

    De Villiers, G. D. B.; And Others

    A working group of the Commission for Agricultural Meteorology has prepared this report to fill a need for detailed syllabi for instruction in agricultural meteorology required by different levels of personnel. Agrometeorological personnel are classified in three categories: (1) professional meteorological personnel (graduates with basic training…

  8. Navigating Distributed Services

    DEFF Research Database (Denmark)

    Beute, Berco

    2002-01-01

    , to a situation where they are distributedacross the Internet. The second trend is the shift from a virtual environment that solelyconsists of distributed documents to a virtual environment that consists of bothdistributed documents and distributed services. The third and final trend is theincreasing diversity...... of devices used to access information on the Internet.The focal point of the thesis is an initial exploration of the effects of the trends onusers as they navigate the virtual environment of distributed documents and services.To begin the thesis uses scenarios as a heuristic device to identify and analyse...... themain effects of the trends. This is followed by an exploration of theory of navigationInformation Spaces, which is in turn followed by an overview of theories, and the stateof the art in navigating distributed services. These explorations of both theory andpractice resulted in a large number of topics...

  9. China's Meteorological Satellite Application System

    Institute of Scientific and Technical Information of China (English)

    Zhang Jiashen

    2008-01-01

    @@ China's meteorological satellite program consists of five systems,namely the satellite system,the launch vehicle system,the launch center system,TT&C and the ground application system.The satellite system consists of FengYun (FY) polar orbiting series and FY geostationary series,which are launched by LM launch vehicles from Taiyan Satellite Launch Center (TSLC) and Xichang Satellite Launch Center (XSLC) respectively.

  10. Evaporation in hydrology and meteorology

    OpenAIRE

    Brandsma, T.

    1990-01-01

    In this paper the role of evaporation in hydrology and meteorology is discussed, with the emphasis on hydrology. The basic theory of evaporation is given and methods to determine evaporation are presented. Some applications of evaporation studies in literature are given in order to illustrate the theory. Further, special conditions in evaporation are considered, followed by a fotmulation of the difficulties in determining evaporation, The last part of the paper gives a short discussion about ...

  11. Topographical mineralogy of the Bamble sector, south Norway

    NARCIS (Netherlands)

    Nijland, T.G.; Zwaan, J.C.; Touret, L.

    1998-01-01

    The Bamble sector of southern Norway is a classic high grade metamorphic gneiss region, which provided specimens to many mineralogical collections all over the world. The topographical mineralogy of this area is described and reviewed. All minerals known to occur in the area are listed according to

  12. The attack navigator

    DEFF Research Database (Denmark)

    Probst, Christian W.; Willemson, Jan; Pieters, Wolter

    2016-01-01

    The need to assess security and take protection decisions is at least as old as our civilisation. However, the complexity and development speed of our interconnected technical systems have surpassed our capacity to imagine and evaluate risk scenarios. This holds in particular for risks...... that are caused by the strategic behaviour of adversaries. Therefore, technology-supported methods are needed to help us identify and manage these risks. In this paper, we describe the attack navigator: a graph-based approach to security risk assessment inspired by navigation systems. Based on maps of a socio...

  13. Navigational Planning in Orienteering

    Science.gov (United States)

    Murakoshi, Shin

    Navigation is a human activity with the aim being to arrive at a predetermined destination. In order to find the way to the destination, the use of current input from the actual environment while travelling is needed as well as stored and organized knowledge of the local geography. Although the knowledge requirement has been studied extensively in the form of cognitive maps or other spatial representation, few studies deal with how the knowledge is used together with the input from the actual environment while navigating.

  14. Mineralogy and composition of the oceanic mantle

    Science.gov (United States)

    Putirka, Keith; Ryerson, F.J.; Perfit, Michael; Ridley, W. Ian

    2011-01-01

    The mineralogy of the oceanic basalt source region is examined by testing whether a peridotite mineralogy can yield observed whole-rock and olivine compositions from (1) the Hawaiian Islands, our type example of a mantle plume, and (2) the Siqueiros Transform, which provides primitive samples of normal mid-ocean ridge basalt. New olivine compositional data from phase 2 of the Hawaii Scientific Drilling Project (HSDP2) show that higher Ni-in-olivine at the Hawaiian Islands is due to higher temperatures (T) of melt generation and processing (by c. 300°C) related to the Hawaiian mantle plume. DNi is low at high T, so parental Hawaiian basalts are enriched in NiO. When Hawaiian (picritic) parental magmas are transported to shallow depths, olivine precipitation occurs at lower temperatures, where DNi is high, leading to high Ni-in-olivine. Similarly, variations in Mn and Fe/Mn ratios in olivines are explained by contrasts in the temperatures of magma processing. Using the most mafic rocks to delimit Siqueiros and Hawaiian Co and Ni contents in parental magmas and mantle source compositions also shows that both suites can be derived from natural peridotites, but are inconsistent with partial melting of natural pyroxenites. Whole-rock compositions at Hawaii and Siqueiros are also matched by partial melting experiments conducted on peridotite bulk compositions. Hawaiian whole-rocks have elevated FeO contents compared with Siqueiros, which can be explained if Hawaiian parental magmas are generated from peridotite at 4-5 GPa, in contrast to pressures of slightly greater than 1 GPa for melt generation at Siqueiros; these pressures are consistent with olivine thermometry, as described in an earlier paper. SiO2-enriched Koolau compositions are reproduced if high-Fe Hawaiian parental magmas re-equilibrate at 1-1·5 GPa. Peridotite partial melts from experimental studies also reproduce the CaO and Al2O3 contents of Hawaiian (and Siqueiros) whole-rocks. Hawaiian magmas have TiO2

  15. Improving Canada's Marine Navigation System through e-Navigation

    Directory of Open Access Journals (Sweden)

    Daniel Breton

    2016-06-01

    The conclusion proposed is that on-going work with key partners and stakeholders can be used as the primary mechanism to identify e-Navigation related innovation and needs, and to prioritize next steps. Moving forward in Canada, implementation of new e-navigation services will continue to be stakeholder driven, and used to drive improvements to Canada's marine navigation system.

  16. Research on Standardization of Basic Meteorological Information

    Institute of Scientific and Technical Information of China (English)

    Wang Chunhu

    2011-01-01

    Current Development of National Meteorological Information Network The national meteorological information network (NMIN) is one of the most important information systems in China's basic meteorological business.Through the construction and development for more than 60 years,the national meteorological information network is beginning to take shape now.The core network in national level has been basically formed,which combines ground wideband network with aerospace satellite communications network all over the country,and the local networks of meteorological departments in different levels have also been developed.

  17. Inland Electronic Navigational Charts (IENC)

    Data.gov (United States)

    Army Corps of Engineers, Department of the Army, Department of Defense — These Inland Electronic Navigational Charts (IENCs) were developed from available data used in maintenance of Navigation channels. Users of these IENCs should be...

  18. Nautical Navigation Aids (NAVAID) Locations

    Data.gov (United States)

    Department of Homeland Security — Structures intended to assist a navigator to determine position or safe course, or to warn of dangers or obstructions to navigation. This dataset includes lights,...

  19. Surface chemistry and mineralogy. [of planet Mars

    Science.gov (United States)

    Banin, A.; Clark, B. C.; Waenke, H.

    1992-01-01

    The accumulated knowledge on the chemistry and mineralogy of Martian surface materials is reviewed. Pertinent information obtained by direct analyses of the soil on Mars by the Viking Landers, by remote sensing of Mars from flyby and orbiting spacecraft, by telescopic observations from earth, and through detailed analyses of the SNC meteorites presumed to be Martian rocks are summarized and analyzed. A compositional model for Mars soil, giving selected average elemental concentrations of major and trace elements, is suggested. It is proposed that the fine surface materials on Mars are a multicomponent mixture of weathered and nonweathered minerals. Smectite clays, silicate mineraloids similar to palagonite, and scapolite are suggested as possible major candidate components among the weathered minerals.

  20. Stable NRM and mineralogy in Allende - Chondrules

    Science.gov (United States)

    Wasilewski, P. J.; Saralker, C.

    The main objective of the present investigation is related to a description of the magnetic and mineralogic contrasts between chondrules which have a natural remanent magnetization (NRM) vector that is ultrastable during alternating field (AF) demagnetization, and those which have unstable NRM vectors when subjected to the same treatment. The results presented in the present investigation together with new magnetic results from Allende listed in a summary provided by Wasilewski (1981) are used as a basis to argue that the stable NRM in Allende was acquired during a sulfidation event. Attention is given to magnetic phases in Allende, experimental results obtained in magnetic studies conducted with 20 chondrules, and a magnetization model for Allende.

  1. Navigating Hypermasculine Terrains

    DEFF Research Database (Denmark)

    Henriksen, Ann-Karina Eske

    2015-01-01

    The study addresses how young women navigate urban terrains that are characterized by high levels of interpersonal aggression and crime. It is argued that young women apply a range of gendered tactics to establish safety and social mastery, and that these are framed by the limits and possibilitie...

  2. Personal Navigation System

    Science.gov (United States)

    2005-10-31

    GPS Satellite Simulator PC I B us PC I B us Embedded C language software TMS320VC33 DSP • Sensor I/O • Navigation Equations • Deep Integration...Simulator Test Display Simulation Controller 22 Figure 12. PNS Prototype Software System Integration Environment Embedded C language

  3. The attack navigator

    DEFF Research Database (Denmark)

    Probst, Christian W.; Willemson, Jan; Pieters, Wolter

    2016-01-01

    -technical system, the attack navigator identifies routes to an attacker goal. Specific attacker properties such as skill or resources can be included through attacker profiles. This enables defenders to explore attack scenarios and the effectiveness of defense alternatives under different threat conditions....

  4. Navigating ‘riskscapes’

    DEFF Research Database (Denmark)

    Gee, Stephanie; Skovdal, Morten

    2017-01-01

    This paper draws on interview data to examine how international health care workers navigated risk during the unprecedented Ebola outbreak in West Africa. It identifies the importance of place in risk perception, including how different spatial localities give rise to different feelings of threat...

  5. Clay mineralogy in agrochernozems of western Ukraine

    Science.gov (United States)

    Papish, I. Ya.; Chizhikova, N. P.; Poznyak, S. P.; Varlamov, E. B.

    2016-10-01

    The mineralogy of clay fractions separated from deep low-humus deep-gleyic loamy typical agrochernozems on loess-like loams of the Upper Bug and Dniester uplands in the Central Russian loess province of Ukraine consists of complex disordered interstratifications with the segregation of mica- and smectite-type layers (hereafter, smectite phase), tri- and dioctahedral hydromicas, kaolinite, and chlorite. The distribution of the clay fraction is uniform. The proportions of the layered silicates vary significantly within the profile: a decrease in the content of the smectite phase and a relative increase in the content of hydromicas up the soil profile are recorded. In the upper horizons, the contents of kaolinite and chlorite increase, and some amounts of fine quartz, potassium feldspars, and plagioclases are observed. This tendency is observed in agrochernozems developed on the both Upper Bug and Dniester uplands. The differences include the larger amounts of quartz, potassium feldspars, and plagioclases in the clay material of the Upper Bug Upland, while the contents of the smectite phase in the soil profiles of the areas considered are similar. An analogous mineral association is noted in podzolized agrochernozems on loess-like deposits in the Cis-Carpathian region of the Southern Russian loess province developed on the Prut-Dniester and Syan-Dniester uplands. The distribution of particle-size fractions and the mineralogy of the clay fraction indicate the lithogenic heterogeneity of the soil-forming substrate. When the drifts change, the mineral association of the soils developed within the loess-like deposits gives place to minerals dominated by individual smectite with some mica-smectite inter stratifications, hydromicas, and chlorite.

  6. Control algorithms for autonomous robot navigation

    Energy Technology Data Exchange (ETDEWEB)

    Jorgensen, C.C.

    1985-09-20

    This paper examines control algorithm requirements for autonomous robot navigation outside laboratory environments. Three aspects of navigation are considered: navigation control in explored terrain, environment interactions with robot sensors, and navigation control in unanticipated situations. Major navigation methods are presented and relevance of traditional human learning theory is discussed. A new navigation technique linking graph theory and incidental learning is introduced.

  7. 33 CFR 401.53 - Obstructing navigation.

    Science.gov (United States)

    2010-07-01

    ... 33 Navigation and Navigable Waters 3 2010-07-01 2010-07-01 false Obstructing navigation. 401.53 Section 401.53 Navigation and Navigable Waters SAINT LAWRENCE SEAWAY DEVELOPMENT CORPORATION, DEPARTMENT OF TRANSPORTATION SEAWAY REGULATIONS AND RULES Regulations Seaway Navigation § 401.53...

  8. Automated Quantitative Rare Earth Elements Mineralogy by Scanning Electron Microscopy

    Science.gov (United States)

    Sindern, Sven; Meyer, F. Michael

    2016-09-01

    Increasing industrial demand of rare earth elements (REEs) stems from the central role they play for advanced technologies and the accelerating move away from carbon-based fuels. However, REE production is often hampered by the chemical, mineralogical as well as textural complexity of the ores with a need for better understanding of their salient properties. This is not only essential for in-depth genetic interpretations but also for a robust assessment of ore quality and economic viability. The design of energy and cost-efficient processing of REE ores depends heavily on information about REE element deportment that can be made available employing automated quantitative process mineralogy. Quantitative mineralogy assigns numeric values to compositional and textural properties of mineral matter. Scanning electron microscopy (SEM) combined with a suitable software package for acquisition of backscatter electron and X-ray signals, phase assignment and image analysis is one of the most efficient tools for quantitative mineralogy. The four different SEM-based automated quantitative mineralogy systems, i.e. FEI QEMSCAN and MLA, Tescan TIMA and Zeiss Mineralogic Mining, which are commercially available, are briefly characterized. Using examples of quantitative REE mineralogy, this chapter illustrates capabilities and limitations of automated SEM-based systems. Chemical variability of REE minerals and analytical uncertainty can reduce performance of phase assignment. This is shown for the REE phases parisite and synchysite. In another example from a monazite REE deposit, the quantitative mineralogical parameters surface roughness and mineral association derived from image analysis are applied for automated discrimination of apatite formed in a breakdown reaction of monazite and apatite formed by metamorphism prior to monazite breakdown. SEM-based automated mineralogy fulfils all requirements for characterization of complex unconventional REE ores that will become

  9. Meteorite falls in Bulgaria: Reappraisal of mineralogy, chemistry, and classification

    Science.gov (United States)

    Dekov, Vesselin; Rochette, Pierre; Gattacceca, JéRôMe

    2017-08-01

    We present a summary of the mineralogy, mineral chemistry, and magnetic characteristics of all the five Bulgarian meteorite falls. We report the first mineralogical descriptions, chemical analyses, and magnetic measurements of the Konevo (1931) and Silistra (1917) meteorites. We classify Konevo as LL5, and Silistra as an ungrouped achondrite with HED affinities. Pavel (1966; previously classified as an H5) is reclassified as H3-anomalous. We also provide precise mineralogy and mineral chemistry of the Virba meteorite (1873, L6), and more details on the mineral chemistry of Gumoschnik (1904, H5).

  10. Integrated navigation method based on inertial navigation system and Lidar

    Science.gov (United States)

    Zhang, Xiaoyue; Shi, Haitao; Pan, Jianye; Zhang, Chunxi

    2016-04-01

    An integrated navigation method based on the inertial navigational system (INS) and Lidar was proposed for land navigation. Compared with the traditional integrated navigational method and dead reckoning (DR) method, the influence of the inertial measurement unit (IMU) scale factor and misalignment was considered in the new method. First, the influence of the IMU scale factor and misalignment on navigation accuracy was analyzed. Based on the analysis, the integrated system error model of INS and Lidar was established, in which the IMU scale factor and misalignment error states were included. Then the observability of IMU error states was analyzed. According to the results of the observability analysis, the integrated system was optimized. Finally, numerical simulation and a vehicle test were carried out to validate the availability and utility of the proposed INS/Lidar integrated navigational method. Compared with the test result of a traditional integrated navigation method and DR method, the proposed integrated navigational method could result in a higher navigation precision. Consequently, the IMU scale factor and misalignment error were effectively compensated by the proposed method and the new integrated navigational method is valid.

  11. Navigating in higher education

    DEFF Research Database (Denmark)

    Thingholm, Hanne Balsby; Reimer, David; Keiding, Tina Bering

    Denne rapport er skrevet på baggrund af spørgeskemaundersøgelsen – Navigating in Higher Education (NiHE) – der rummer besvarelser fra 1410 bachelorstuderende og 283 undervisere fordelt på ni uddannelser fra Aarhus Universitet: Uddannelsesvidenskab, Historie, Nordisk sprog og litteratur, Informati......Denne rapport er skrevet på baggrund af spørgeskemaundersøgelsen – Navigating in Higher Education (NiHE) – der rummer besvarelser fra 1410 bachelorstuderende og 283 undervisere fordelt på ni uddannelser fra Aarhus Universitet: Uddannelsesvidenskab, Historie, Nordisk sprog og litteratur......, Informationsteknologi, Biologi, Fysik, Medicin, Odontologi og Folkesundhedsvidenskab. NiHE undersøgelsen er gennemført i efteråret 2015 og vinter 2016, og den har til formål at generere data til almen undervisningsudvikling og rummer derfor både faglige, sociale og personlige perspektiver på undervisning....

  12. Geochemistry and mineralogy of mafic Icelandic hyaloclastites

    Science.gov (United States)

    Hudak, M. R.; Feineman, M. D.; Eyer, C.; Bindeman, I. N.; Sigmarsson, O.

    2016-12-01

    Hyaloclastite in the crust may be a cryptic contaminant contributing to some volatile-rich Icelandic basalts and in some places reach 2.5 km1. Hyaloclastites are highly fragmented composites of lithics, glass, and crystals in a palagonite matrix that form as a result of magma-ice or magma-water interactions. These rocks have high water content and porosity and a high initial glass content, which makes them susceptible to rapid alteration by ambient or hydrothermal waters and potentially fast digestion by magmas. Due to low density and ductility, they have the potential to stall ascending mantle-derived magmas to form sills, and in the process may contribute exotic volatile or fluid-mobile components. We have characterized the geochemistry and mineralogy of 18 hyaloclastite samples from the Reykjanes Peninsula (RP), Vestmannajyar, and the southern coast of Iceland. Major and trace elements were obtained using ICP-AES and ICP-MS, respectively, and mineralogy was determined by XRD. Loss on ignition is highly variable (0.44 - 15.7 wt.%) and positively correlated with alkali loss reflected in the Chemical Index of Alteration [34.8 - 51.3; CIA = Al2O3/(Al2O3+CaO+Na2O+K2O)]. Primitive mantle normalized multi-element plots for RP hyaloclastites are broadly similar to those for unaltered RP Holocene basalts. Two samples have trace element profiles resembling those of picrites in the region. The samples from the south coast and Vestmannaeyjar have OIB-like enrichments similar to local Holocene basalts. Five well-sorted hyaloclastite samples have broad humps in their XRD patterns from 20-50° 2q. These samples contain only primary magmatic mineral phases (plagioclase, olivine, and pyroxene), if any, while other hyaloclastites contain both primary phases and secondary alteration phases including halite, calcite, clays, chlorite, and zeolites. Preliminary O and H isotope investigation demonstrates large ranges in both parameters. Future work will include oxygen isotope analyses

  13. Waves at Navigation Structures

    Science.gov (United States)

    2014-10-27

    ABSTRACT 15. SUBJECT TERMS 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF ABSTRACT Same as Report (SAR) 18. NUMBER OF PAGES 2 19a. NAME...upgrades the Coastal Modeling System’s ( CMS ) wave model CMS -Wave, a phase-averaged spectral wave model, and BOUSS-2D, a Boussinesq-type nonlinear wave...provided by this work unit address these critical needs of the Corps’ navigation mission. Description Issue Addressed CMS -Wave application at Braddock

  14. Invisible Navigation (or Impossible?).

    OpenAIRE

    Özcan, Oğuzhan; O'Neil, Mary Lou

    2013-01-01

    Abstract: This article introduces an experimental artwork on moving mobile interfaces. It aims to answer the question: Is it possible to navigate a part of a large image composition, moving a smaller interface of a mobile device in a certain direction such as left and right, back and forth or up and down? The article then outlines the new concept of “Invisible (or impossible) Navigation” and discusses the output of artistic practices which address the “Labyrinth of Art”.

  15. Self-navigating robot

    Science.gov (United States)

    Thompson, A. M.

    1978-01-01

    Rangefinding equipment and onboard navigation system determine best route from point to point. Research robot has two TV cameras and laser for scanning and mapping its environment. Path planner finds most direct, unobstructed route that requires minimum expenditure of energy. Distance is used as measure of energy expense, although other measures such as time or power consumption (which would depend on the topography of the path) may be used.

  16. Multisensor robot navigation system

    Science.gov (United States)

    Persa, Stelian; Jonker, Pieter P.

    2002-02-01

    Almost all robot navigation systems work indoors. Outdoor robot navigation systems offer the potential for new application areas. The biggest single obstacle to building effective robot navigation systems is the lack of accurate wide-area sensors for trackers that report the locations and orientations of objects in an environment. Active (sensor-emitter) tracking technologies require powered-device installation, limiting their use to prepared areas that are relative free of natural or man-made interference sources. The hybrid tracker combines rate gyros and accelerometers with compass and tilt orientation sensor and DGPS system. Sensor distortions, delays and drift required compensation to achieve good results. The measurements from sensors are fused together to compensate for each other's limitations. Analysis and experimental results demonstrate the system effectiveness. The paper presents a field experiment for a low-cost strapdown-IMU (Inertial Measurement Unit)/DGPS combination, with data processing for the determination of 2-D components of position (trajectory), velocity and heading. In the present approach we have neglected earth rotation and gravity variations, because of the poor gyroscope sensitivities of our low-cost ISA (Inertial Sensor Assembly) and because of the relatively small area of the trajectory. The scope of this experiment was to test the feasibility of an integrated DGPS/IMU system of this type and to develop a field evaluation procedure for such a combination.

  17. Update of ECTOM - European catalogue of training opportunities in meteorology

    Science.gov (United States)

    Halenka, Tomas; Belda, Michal

    2016-04-01

    After Bologna Declaration (1999) the process of integration of education at university level was started in most European countries with the aim to unify the system and structure of the tertiary education with the option for possibility of transnational mobility of students across the Europe. The goal was to achieve the compatibility between the systems and levels in individual countries to help this mobility. To support the effort it is useful to provide the information about the possibility of education in different countries in centralised form, with uniform shape and content, but validated on a national level. For meteorology and climatology this could be reasonably done on the floor of European Meteorological Society, ideally with contribution of individual National Meteorological Societies and their guidance. Brief history of the original ECTOM I and previous attempts to start ECTOM II is given. Further need of update of the content is discussed with emphasis to several aspects. There are several reasons for such an update of ECTOM 1. First, there are many more new EMS members which could contribute to the catalogue. Second, corrected, new, more precise and expanding information will be available in addition to existing record, particularly in sense of some changes in education systems of EC countries and associated countries approaching the EC following the main goals included in Bologna Declaration. Third, contemporary technology to organize the real database with the possibility of easier navigation and searching of the appropriate information and feasibility to keep them up to date permanently through the WWW interface should be adopted. In this presentation, the engine of ECTOM II database will be shown together with practical information how to find and submit information on access to education or training possibilities. Finally, as we have started with filling the database using freely available information from the web, practical examples of use will

  18. Geochemical and Mineralogical Proxies for characterizing Tsunami and Paleotsunami Deposits

    Science.gov (United States)

    Löwhagen, L.; Jankaew, K.; Kylander, M. E.; Skelton, A.; Wohlfarth, B.

    2015-12-01

    In this study we show how geochemistry and mineralogy can be used to correlate between previously dated tsunami and paleotsunami deposits in western Thailand. We do this based on cores from three parallel swales along a transect from the shoreline inland. Stratigraphy, together with geochemical and mineralogical analyses was used to correlate between tsunami and paleotsunami layers at these sites. Using element biplots (Ti-Zr, Ti-Y and Zr-Y) and mineralogical constraints, source signatures of each of the tsunami and paleotsunami layers were used to correlate between sand layers representing the 2004 tsunami and sand layers representing at least three paleotsunamis. Based on our correlations between these swales, we predict different inundation distances and directions for these paleotsunamis. Our study shows that a combination of geochemical and mineralogical analysis provides a powerful tool for correlation between tsunami and paleotsunami layers.

  19. Magnetic mineralogy of the Mercurian lithosphere

    Science.gov (United States)

    Strauss, B. E.; Feinberg, J. M.; Johnson, C. L.

    2016-11-01

    Mercury and Earth are the only inner solar system planets with active, internally generated dynamo magnetic fields. The MErcury Surface, Space ENvironment, GEochemistry, and Ranging (MESSENGER) mission recently detected magnetic fields on Mercury that are consistent with lithospheric magnetization. We investigate the physical and chemical environment of Mercury's lithosphere, past and present, to establish the conditions under which magnetization may have been acquired and modified. Three factors are particularly crucial to the determination of crustal composition and iron mineralogy: redox conditions in the planet's crust and mantle, the iron content of the lithosphere, and, for any remanent magnetization, the temperature profile of the lithosphere and its evolution over time. We explore potential mechanisms for remanence acquisition and alteration on Mercury, whose surface environment is both hot and highly reducing. The long-term thermal history of Mercury's crust plays an important role in the longevity of any remanent crustal magnetization, which may be subject to remagnetization through thermal, viscous, and shock mechanisms. This thermal and compositional framework is used both to constrain plausible candidate minerals that could carry magnetic remanence on Mercury and to evaluate their capacity to acquire and retain sufficient magnetization to be detectable from satellite orbit. We propose that iron metal and its alloys are likely to be the dominant contributors to induced and remanent magnetization in Mercury's lithosphere, with additional contributions from iron silicides, sulfides, and carbides.

  20. Olivine-dominated Asteroids: Mineralogy and Origin

    CERN Document Server

    Sanchez, Juan A; Kelley, Michael S; Cloutis, Edward A; Bottke, William F; Nesvorný, David; Lucas, Michael P; Hardersen, Paul S; Gaffey, Michael J; Abell, Paul A; Corre, Lucille Le

    2013-01-01

    Olivine-dominated asteroids are a rare type of objects formed either in nebular processes or through magmatic differentiation. The analysis of meteorite samples suggest that at least 100 parent bodies in the main belt experienced partial or complete melting and differentiation before being disrupted. However, only a few olivine-dominated asteroids, representative of the mantle of disrupted differentiated bodies, are known to exist. Due to the paucity of these objects in the main belt their origin and evolution have been a matter of great debate over the years. In this work we present a detailed mineralogical analysis of twelve olivine-dominated asteroids. Within our sample we distinguish two classes, one that we call pure-olivine asteroids and another referred to as olivine-rich asteroids. For the pure-olivine asteroids the olivine chemistry was found to range from ~ Fo49 to Fo70, consistent with the values measured for brachinites and R chondrites. In the case of the olivine-rich asteroids we determined thei...

  1. Radio occultation based on BeiDou satellite navigation

    Science.gov (United States)

    Jiang, Hu; Hu, Haiying; Shen, Xue-min; Gong, Wenbin; Zhang, Yonghe

    2014-11-01

    With the development of GNSS systems, it has become a tendency that radio occultation is used to sense the Earth's atmosphere. By this means, the moisture, temperature, pressure, and total electron content can be derived. Based on the sensing results, more complicated models for atmosphere might come into being. Meteorology well benefits from this technology. As scheduled, the BD satellite navigation system will have a worldwide coverage by the end of 2020. Radio occultation studies in China have been highlighted in the recent decade. More and more feasibilities reports have been published in either domestic or international journals. Herein, some scenarios are proposed to assess the coverage of radio occultation based on two different phases of BD satellite navigation system. Phase one for BD is composed of GEO,IGSO and several MEO satellites. Phase two for BD consists mostly of 24 MEO satellites, some GEO and IGSO satellites. The characteristics of radio occultation based on these two phases are presented respectively.

  2. The mineralogy of ordinary chondrites and implications for asteroid spectrophotometry

    Science.gov (United States)

    Mcsween, Harry Y., Jr.; Bennett, Marvin E., III; Jarosewich, Eugene

    1991-01-01

    Published data from bulk chemical analyses of 94 ordinary chondrites are compiled in a table of normative mineralogy and discussed in detail. Significant variations in olivine, pyroxene, and metal abundance ratios are found within each chondrite class and attributed to redox processes superimposed on initial differences in metal/silicate ratios. The use of the diagrams constructed here to predict the mineralogic characteristics of asteroids on the basis of spectrophotometric observations is suggested.

  3. Meteorological uncertainty and rainfall downscaling

    Directory of Open Access Journals (Sweden)

    J. von Hardenberg

    2007-05-01

    Full Text Available We explore the sources of forecast uncertainty in a mixed dynamical-stochastic ensemble prediction chain for small-scale precipitation, suitable for hydrological applications. To this end, we apply the stochastic downscaling method RainFARM to each member of ensemble limited-area forecasts provided by the COSMO-LEPS system. Aim of the work is to quantitatively compare the relative weights of the meteorological uncertainty associated with large-scale synoptic conditions (represented by the ensemble of dynamical forecasts and of the uncertainty due to small-scale processes (represented by the set of fields generated by stochastic downscaling. We show that, in current operational configurations, small- and large-scale uncertainties have roughly the same weight. These results can be used to pinpoint the specific components of the prediction chain where a better estimate of forecast uncertainty is needed.

  4. Surface Meteorological Instrumentation for BOBMEX

    Indian Academy of Sciences (India)

    G S Bhat; S Ameenulla

    2000-06-01

    Although India has a long experience in ship-borne experiments and oceanographic instrumentation, the atmospheric component has not received much attention in the past. In this paper, the basis of the atmospheric instrumentation system assembled for use on board ORV Sagar Kanya for the BOBMEX- Pilot experiment is described along with some representative results. Wherever possible, Woods Hole's IMET recommendations for meteorological sensors for applications in the marine environment have been followed to keep our measurements in par with international standards. The sensors were tested during the BOBMEX-Pilot experiment and all sensors worked well. Velocity, humidity and temperature data have been successfully collected using fast sensors. It is shown that the component due to the ship's pitching motion can be removed from the measured vertical velocity by making use of an accelerometer. This makes it possible to calculate the surface fluxes by direct methods.

  5. Juvenile Osprey Navigation during Trans-Oceanic Migration.

    Directory of Open Access Journals (Sweden)

    Travis W Horton

    Full Text Available To compensate for drift, an animal migrating through air or sea must be able to navigate. Although some species of bird, fish, insect, mammal, and reptile are capable of drift compensation, our understanding of the spatial reference frame, and associated coordinate space, in which these navigational behaviors occur remains limited. Using high resolution satellite-monitored GPS track data, we show that juvenile ospreys (Pandion haliaetus are capable of non-stop constant course movements over open ocean spanning distances in excess of 1500 km despite the perturbing effects of winds and the lack of obvious landmarks. These results are best explained by extreme navigational precision in an exogenous spatio-temporal reference frame, such as positional orientation relative to Earth's magnetic field and pacing relative to an exogenous mechanism of keeping time. Given the age (<1 year-old of these birds and knowledge of their hatching site locations, we were able to transform Enhanced Magnetic Model coordinate locations such that the origin of the magnetic coordinate space corresponded with each bird's nest. Our analyses show that trans-oceanic juvenile osprey movements are consistent with bicoordinate positional orientation in transformed magnetic coordinate or geographic space. Through integration of movement and meteorological data, we propose a new theoretical framework, chord and clock navigation, capable of explaining the precise spatial orientation and temporal pacing performed by juvenile ospreys during their long-distance migrations over open ocean.

  6. 76 FR 490 - Marking Meteorological Evaluation Towers

    Science.gov (United States)

    2011-01-05

    ... Federal Aviation Administration 14 CFR Part 77 Marking Meteorological Evaluation Towers AGENCY: Federal.... SUMMARY: The FAA is considering revising its current Advisory Circular on Obstruction Marking and Lighting to include guidance for Meteorological Evaluation Towers (METs). These towers are erected in...

  7. 76 FR 36983 - Marking Meteorological Evaluation Towers

    Science.gov (United States)

    2011-06-24

    ... terrain. Without a similar evaluation process, the FAA cannot recommend lighting for METs. It is important... Federal Aviation Administration 14 CFR Part 77 Marking Meteorological Evaluation Towers AGENCY: Federal... recommended guidance for the voluntary marking of Meteorological Evaluation Towers (METs) erected in...

  8. Navigating ECA-Zones

    DEFF Research Database (Denmark)

    Hansen, Carsten Ørts; Grønsedt, Peter; Hendriksen, Christian

    is the substantial impact of the current and future oil price on the optimal compliance strategies ship-owners choose when complying with the new air emission requirements for vessels. The oil price determines the attractiveness of investing in asset modification for compliance, given the capital investment required......This report examines the effect that ECA-zone regulation has on the optimal vessel fuel strategies for compliance. The findings of this report are trifold, and this report is coupled with a calculation tool which is released to assist ship-owners in the ECA decision making. The first key insight...... much time their operated vessels navigate the ECA in the future....

  9. Understanding satellite navigation

    CERN Document Server

    Acharya, Rajat

    2014-01-01

    This book explains the basic principles of satellite navigation technology with the bare minimum of mathematics and without complex equations. It helps you to conceptualize the underlying theory from first principles, building up your knowledge gradually using practical demonstrations and worked examples. A full range of MATLAB simulations is used to visualize concepts and solve problems, allowing you to see what happens to signals and systems with different configurations. Implementation and applications are discussed, along with some special topics such as Kalman Filter and Ionosphere. W

  10. China Satellite Navigation Conference

    CERN Document Server

    Liu, Jingnan; Fan, Shiwei; Wang, Feixue

    2016-01-01

    These Proceedings present selected research papers from CSNC2016, held during 18th-20th May in Changsha, China. The theme of CSNC2016 is Smart Sensing, Smart Perception. These papers discuss the technologies and applications of the Global Navigation Satellite System (GNSS), and the latest progress made in the China BeiDou System (BDS) especially. They are divided into 12 topics to match the corresponding sessions in CSNC2016, which broadly covered key topics in GNSS. Readers can learn about the BDS and keep abreast of the latest advances in GNSS techniques and applications.

  11. China Satellite Navigation Conference

    CERN Document Server

    Liu, Jingnan; Yang, Yuanxi; Fan, Shiwei; Yu, Wenxian

    2017-01-01

    These proceedings present selected research papers from CSNC2017, held during 23th-25th May in Shanghai, China. The theme of CSNC2017 is Positioning, Connecting All. These papers discuss the technologies and applications of the Global Navigation Satellite System (GNSS), and the latest progress made in the China BeiDou System (BDS) especially. They are divided into 12 topics to match the corresponding sessions in CSNC2017, which broadly covered key topics in GNSS. Readers can learn about the BDS and keep abreast of the latest advances in GNSS techniques and applications.

  12. Revised mineralogic summary of Yucca Mountain, Nevada

    Energy Technology Data Exchange (ETDEWEB)

    Bish, D.L.; Chipera, S.J.

    1989-03-01

    We have evaluated three-dimensional mineral distribution at Yucca Mountain, Nevada, using quantitative x-ray powder diffraction analysis. All data were obtained on core cuttings, or sidewall samples obtained from drill holes at and around Yucca Mountain. Previously published data are included with corrections, together with new data for several drill holes. The new data presented in this report used the internal standard method of quantitative analysis, which yields results of high precision for the phases commonly found in Yucca Mountain tuffs including opal-CT and glass. Mineralogical trends with depth previously noted are clearly shown by these new data. Glass occurrence is restricted almost without exception to above the present-day static water level (SWL), although glass has been identified below the SWL in partially zeolitized tuffs. Silica phases undergo well-defined transitions with depth, with tridymite and cristobalite occurring only above the SWL, opal-CT occurring with clinoptilolite-mordenite tuffs, and quartz most abundant below the SWL. Smectite occurs in small amounts in most samples but is enriched in two distinct zones. These zones are at the top of the vitric nonwelded base of the Tiva Canyon Member and at the top of the basal vitrophyre of the Topopah Spring Member. Our data support the presence of several zones of mordenite and clinoptilolite-heulandite as shown previously. New data on several deep clinoptililite-heulandite samples coexisting with analcime show that they are heulandite. Phillipsite has not been found in any Yucca Mountain samples, but erionite and chabazite have been found once in fractures. 21 refs., 17 figs.

  13. Physicochemistry and Mineralogy of Storm Dust and Dust Sediment in Northern China

    Institute of Scientific and Technical Information of China (English)

    刘蔚; 冯起; 王涛; 张艳武; 施建华

    2004-01-01

    Dust sediments collected from 1995 to 1998 in Beijing, Dunhuang, Inner Mongolia, Kashi, the Kunlun Mountains, Lanzhou, Ningxia, the Taklimakan Desert, and Xi'an, China, were characterized in terms of their physical, chemical, and mineralogical properties. Most aerosols and dust analysed ranged in texture from silty clay to clay loam. Their median particle diameters (Mds) generally ranged between 5 to 63μm,coinciding with those of loess from central China and the finest sand from northwestern China. The dust sediments were characterized by a predominance of SiO2 and Al2O3, followed by K2O. Their SiO2/Al2O3and K2O/SiO2 molar ratios ranged from 5.17 to 8.43 and from 0.009 to 0.0368, respectively. The mass concentration spectrum during a dust storm showed a single peak, rather than the triple peak generally observed under clear sky conditions. The dominant minerals were chlorite, illite, calcite, and dolomite.These physical, chemical, and mineralogical properties were consistent with those of aeolian soils and loess in western and central China. The results suggest that aerosols and fine-gained fractions of dust sediments collected in northern China are mainly composed of soil material transported from the arid and semiarid regions of China and Mongolia by prevailing winds. The rate of deposition and properties of dust falling on eastern China were strongly influenced by meteorological conditions, season, latitude, longitude, and altitude of the sampling sites.

  14. Learning for Autonomous Navigation

    Science.gov (United States)

    Angelova, Anelia; Howard, Andrew; Matthies, Larry; Tang, Benyang; Turmon, Michael; Mjolsness, Eric

    2005-01-01

    Robotic ground vehicles for outdoor applications have achieved some remarkable successes, notably in autonomous highway following (Dickmanns, 1987), planetary exploration (1), and off-road navigation on Earth (1). Nevertheless, major challenges remain to enable reliable, high-speed, autonomous navigation in a wide variety of complex, off-road terrain. 3-D perception of terrain geometry with imaging range sensors is the mainstay of off-road driving systems. However, the stopping distance at high speed exceeds the effective lookahead distance of existing range sensors. Prospects for extending the range of 3-D sensors is strongly limited by sensor physics, eye safety of lasers, and related issues. Range sensor limitations also allow vehicles to enter large cul-de-sacs even at low speed, leading to long detours. Moreover, sensing only terrain geometry fails to reveal mechanical properties of terrain that are critical to assessing its traversability, such as potential for slippage, sinkage, and the degree of compliance of potential obstacles. Rovers in the Mars Exploration Rover (MER) mission have got stuck in sand dunes and experienced significant downhill slippage in the vicinity of large rock hazards. Earth-based off-road robots today have very limited ability to discriminate traversable vegetation from non-traversable vegetation or rough ground. It is impossible today to preprogram a system with knowledge of these properties for all types of terrain and weather conditions that might be encountered.

  15. Underwater Navigation using Pseudolite

    Directory of Open Access Journals (Sweden)

    Krishneshwar Tiwary

    2011-07-01

    Full Text Available Using pseudolite or pseudo satellite, a proven technology for ground and space applications for the augmentation of GPS, is proposed for underwater navigation. Global positioning systems (GPS like positioning for underwater system, needs minimum of four pseudolite-ranging signals for pseudo-range and accumulated delta range measurements. Using four such measurements and using the models of underwater attenuation and delays, the navigation solution can be found. However, for application where the one-way ranging does not give good accuracy, alternative algorithms based upon the bi-directional and self-difference ranging is proposed using selfcalibrated pseudolite array algorithm. The hardware configuration is proposed for pseudolite transceiver for making the self-calibrated array. The pseudolite array, fixed or moored under the sea, can give position fixing similar to GPS for underwater applications.Defence Science Journal, 2011, 61(4, pp.331-336, DOI:http://dx.doi.org/10.14429/dsj.61.1087

  16. 33 CFR 207.185 - Taylors Bayou, Tex., Beaumont Navigation District Lock; use, administration, and navigation.

    Science.gov (United States)

    2010-07-01

    ... 33 Navigation and Navigable Waters 3 2010-07-01 2010-07-01 false Taylors Bayou, Tex., Beaumont Navigation District Lock; use, administration, and navigation. 207.185 Section 207.185 Navigation and... § 207.185 Taylors Bayou, Tex., Beaumont Navigation District Lock; use, administration, and...

  17. Meteorological determinants of air quality

    Science.gov (United States)

    Turoldo, F.; Del Frate, S.; Gallai, I.; Giaiotti, D. B.; Montanari, F.; Stel, F.; Goi, D.

    2010-09-01

    Air quality is the result of complex phenomena, among which the major role is played by human emissions of pollutants. Atmospheric processes act as determinants, e.g., modulating, dumping or amplifying the effects of emissions as an orchestra's director does with musical instruments. In this work, a series of small-scale and meso-scale meteorological determinants of air-quality are presented as they are observed in an area characterized by complex orography (Friuli Venezia Giulia, in the north-eastern side of Italy). In particular, attention is devoted to: i) meso-scale flows favouring the persistence of high concentrations of particulate matter; ii) meso-scale periodic flows (breezes) favouring high values of particulate matter; iii) local-scale thermodynamic behaviour favouring high atmospheric values of nitrogen oxides. The effects of these different classes of determinants are shown through comparisons between anthropic emissions (mainly traffic) and ground-based measurements. The relevance of complex orography (relatively steep relieves near to the sea) is shown for the meso-scale flows and, in particular, for local-scale periodic flows, which favour the increase of high pollutants concentrations mainly in summer, when the breezes regime is particularly relevant. Part of these results have been achieved through the ETS - Alpine Space EU project iMONITRAF!

  18. Phantosmia as a meteorological forecaster

    Science.gov (United States)

    Aiello, S. R.; Hirsch, A. R.

    2013-09-01

    In normosmics, olfactory ability has been found to vary with ambient humidity, barometric pressure, and season. While hallucinated sensations of phantom pain associated with changes in weather have been described, a linkage to chemosensory hallucinations has heretofore not been reported. A 64-year-old white male with Parkinson's disease presents with 5 years of phantosmia of a smoky burnt wood which changed to onion-gas and then to a noxious skunk-onion excrement odor. Absent upon waking it increases over the day and persists for hours. When severe, there appears a phantom taste with the same qualities as the odor. It is exacerbated by factors that manipulate intranasal pressure, such as coughing. When eating or sniffing, the actual flavors replace the phantosmia. Since onset, he noted the intensity and frequency of the phantosmia forecasted the weather. Two to 3 h before a storm, the phantosmia intensifies from a level 0 to a 7-10, which persists through the entire thunderstorm. Twenty years prior, he reported the ability to forecast the weather, based on pain in a torn meniscus, which vanished after surgical repair. Extensive olfactory testing demonstrates underlying hyposmia. Possible mechanisms for such chemosensory-meteorological linkage includes: air pressure induced synesthesia, disinhibition of spontaneous olfactory discharge, exacerbation of ectopic discharge, affect mediated somatic sensory amplification, and misattribution error with expectation and recall bias. This is the first reported case of weather-induced exacerbation of phantosmia. Further investigation of the connection between chemosensory complaints and ambient weather is warranted.

  19. An integrated geochemical and mineralogical approach for the evaluation of arsenic mobility in mining soils

    Energy Technology Data Exchange (ETDEWEB)

    Kreidie, Nadia; Mottana, Annibale [Rome Univ. (Italy). Dipt. Scienze Geologiche; Armiento, Giovanna; Crovato, Cinzia; Nardi, Elisa; Pacifico, Renata; Cremisini, Carlo [ENEA-Agenzia Nazionale per le Nuove Tecnologie, l' Energia e lo Sviluppo Economico Sostenibile-C.R. Casaccia, Rome (Italy); Cibin, Giannantonio; Cinque, Gianfelice [INFN-Laboratori Nazionali Frascati (Italy)

    2011-01-15

    Purpose: The assessment of risk related to the presence of potentially toxic elements in soils is strictly related to the knowledge of their form and mobility. These relevant properties depend on the complex interactions of the elements of concern with the soil particles that generally cannot be addressed by a single technique. This study presents an integrated approach implementing geochemical and mineralogical investigation techniques on samples from a former mining area (Tolfa Mountains district, northern Latium, Italy), where exploiting activities occurred until the recent past. In particular, the As total concentration and the As distribution in solid phases is studied with the aim to evaluate the possibility of environmental pollution and consequent risks for the health of people living in the area and possibly affected in case of significant mobilization of this toxic element. Materials and methods: Chemical (ICP-MS, ICP-OES) and mineralogical (X-ray diffraction (XRD), scanning electron microscopy-energy dispersive X-ray (SEM-EDX), X-ray absorption near-edge structure (XANES)) analyses and the evaluation of the heavy metal mobility (by means of a sequential extraction procedure) were performed. Results and discussion: Chemical analyses show a high As content in the soils collected immediately downstream the marcasite mine waste deposit, that is the starting point of As pollution over the whole area. XANES analyses show that As occurs in two oxidation states (As{sup III} and As{sup V}) simultaneously in the tailing samples and nearby, while it has been mainly or totally transformed into As{sup V} at increasing distance from the mine. XRD data show that sheet silicates don't affect As behavior, whereas sequential extractions and SEM-EDX analyses reveal the evident association of As and Fe oxyhydroxides content. Conclusions: The use of an integrated geochemical-mineralogical approach allows to single out the contaminant forms and the relative potential

  20. Introductory Course on Satellite Navigation

    Science.gov (United States)

    Giger, Kaspar; Knogl, J. Sebastian

    2012-01-01

    Satellite navigation is widely used for personal navigation and more and more in precise and safety-critical applications. Thus, the subject is suited for attracting the interest of young people in science and engineering. The practical applications allow catching the students' attention for the theoretical background. Educational material on the…

  1. Long-range transport of giant particles in Asian dust identified by physical, mineralogical, and meteorological analysis

    Directory of Open Access Journals (Sweden)

    G. Y. Jeong

    2013-08-01

    Full Text Available Giant particles transported over long distances are generally of limited concern in atmospheric studies due to their low number concentrations in mineral dust and possible local origin. However, they can play an important role in regional circulation of earth materials due to their enormous volume concentration. Asian dust laden with giant particles was observed in Korea on 31 March 2012, after a migration of about 2000 km across the Yellow Sea from the Gobi Desert. Scanning electron microscopy (SEM revealed that 20% of the particles exceeded 10 μm in equivalent sphere diameter, with a maximum of 60 μm. The median diameter from the number distribution was 5.7 μm, which was larger than the diameters recorded of 2.5 and 2.9 μm in Asian dust storms in 2010 and 2011, respectively, and was consistent with independent optical particle counter data. Giant particles (> 10 μm contributed about 89% of the volume of the dust in the 2012 storm. Illite-smectite series clay minerals were the major mineral group followed by quartz, plagioclase, K-feldspar, and calcite. The total phyllosilicate content was ~ 52%. The direct long-range transport of giant particles was confirmed by calcite nanofibers closely associated with clays in a submicron scale identified by high-resolution SEM and transmission electron microscopy. Since giant particles consisted of clay agglomerates and clay-coated quartz, feldspars, and micas, the mineral composition varied little throughout the fine ( 20 μm size bins. Analysis of the synoptic conditions of the 2012 dust event and its migration indicated that the mid-tropospheric strong wind belt directly stretching to Korea induced rapid transport of the dust, delivering giant particles. Giant dust particles with high settling velocity would be the major input into the terrestrial and marine sedimentary and ecological systems of East Asia and the western Pacific. Analysis of ancient aeolian deposits in Korea suggested the common deposition of giant particles from Asian dust through the late Quaternary period. The roles of giant particles should be reviewed with regard to regional circulation of mineral particles and nutrients.

  2. Mineralogy and Microbial Survival During Carbon Sequestration

    Science.gov (United States)

    Santillan, E. U.; Gilbert, K.; Bennett, P.

    2010-12-01

    When CO2 is sequestered in deep saline aquifers, a region of high dissolved CO2 surrounds the supercritical CO2 plume. While microbial life will doubtless be perturbed as a result of the CO2 injection, survival may be possible in the region of high dissolved CO2. Mineralogy of the aquifer may influence which microorganisms survive by providing substrates for lithotrophic microbes and determining the competitiveness of microbes in the subsurface. Iron-rich minerals like hematite, for example, provide a terminal electron acceptor for dissimilatory iron reducing bacteria (DIRB) that is essential for their respiration. Mineral dissolution may also provide toxicity for microbes providing increased concentration of toxic elements like Al in groundwater as a result of feldspar or clay dissolution. We investigated, Shewanella oneidensis MR-1, a model DIRB, grown in the presence of representative minerals found in deep saline aquifers including carbonate minerals, silicate minerals, and clays. Cultures were subjected to 20 to 25 atm of CO2 at 30° C for 2 to 8 hours in modified Parr reactors. Cultures were plated to determine viability after CO2 stress and imaged using environmental scanning electron microscopy (ESEM). Preliminary results show that MR-1 grown in the presence of dolomite and subjected to 20 atm of CO2 for 2 hours results in decreased viability in comparison to cells grown with hematite or no minerals present. This suggests there is selective toxicity with dolomite, possibly due to an increase in dissolved Mg. Additionally, ESEM imaging revealed a change in cell morphology from plump rods to thin, pointy cells after incubating in CO2 for 8 hours at 25 atm. This change in cell morphology may be the result of cell damage due to CO2 stress. This material is based upon work supported as part of the Center for Frontiers of Subsurface Energy Security, an Energy Frontier Research Center funded by the U.S. Department of Energy, Office of Science, Office of Basic

  3. Diagenetic Mineralogy at Gale Crater, Mars

    Science.gov (United States)

    Vaniman, David; Blake, David; Bristow, Thomas F.; Chipera, Steve; Gellert, Ralf; Ming, Douglas; Morris, Richard; Rampe, E. B.; Rapin, William

    2015-01-01

    Three years into exploration of sediments in Gale crater on Mars, the Mars Science Laboratory rover Curiosity has provided data on several modes and episodes of diagenetic mineral formation. Curiosity determines mineralogy principally by X-ray diffraction (XRD), but with supporting data from thermal-release profiles of volatiles, bulk chemistry, passive spectroscopy, and laser-induced breakdown spectra of targeted spots. Mudstones at Yellowknife Bay, within the landing ellipse, contain approximately 20% phyllosilicate that we interpret as authigenic smectite formed by basalt weathering in relatively dilute water, with associated formation of authigenic magnetite as in experiments by Tosca and Hurowitz [Goldschmidt 2014]. Varied interlayer spacing of the smectite, collapsed at approximately 10 A or expanded at approximately 13.2 A, is evidence of localized diagenesis that may include partial intercalation of metal-hydroxyl groups in the approximately 13.2 A material. Subsequent sampling of stratigraphically higher Windjana sandstone revealed sediment with multiple sources, possible concentration of detrital magnetite, and minimal abundance of diagenetic minerals. Most recent sampling has been of lower strata at Mount Sharp, where diagenesis is widespread and varied. Here XRD shows that hematite first becomes abundant and products of diagenesis include jarosite and cristobalite. In addition, bulk chemistry identifies Mg-sulfate concretions that may be amorphous or crystalline. Throughout Curiosity's traverse, later diagenetic fractures (and rarer nodules) of mm to dm scale are common and surprisingly constant and simple in Ca-sulfate composition. Other sulfates (Mg,Fe) appear to be absent in this later diagenetic cycle, and circumneutral solutions are indicated. Equally surprising is the rarity of gypsum and common occurrence of bassanite and anhydrite. Bassanite, rare on Earth, plays a major role at this location on Mars. Dehydration of gypsum to bassanite in the

  4. Novel Visualization Approaches in Environmental Mineralogy

    Science.gov (United States)

    Anderson, C. D.; Lopano, C. L.; Hummer, D. R.; Heaney, P. J.; Post, J. E.; Kubicki, J. D.; Sofo, J. O.

    2006-05-01

    Communicating the complexities of atomic scale reactions between minerals and fluids is fraught with intrinsic challenges. For example, an increasing number of techniques are now available for the interrogation of dynamical processes at the mineral-fluid interface. However, the time-dependent behavior of atomic interactions between a solid and a liquid is often not adequately captured by two-dimensional line drawings or images. At the same time, the necessity for describing these reactions to general audiences is growing more urgent, as funding agencies are amplifying their encouragement to scientists to reach across disciplines and to justify their studies to public audiences. To overcome the shortcomings of traditional graphical representations, the Center for Environmental Kinetics Analysis is creating three-dimensional visualizations of experimental and simulated mineral reactions. These visualizations are then displayed on a stereo 3D projection system called the GeoWall. Made possible (and affordable) by recent improvements in computer and data projector technology, the GeoWall system uses a combination of computer software and hardware, polarizing filters and polarizing glasses, to present visualizations in true 3D. The three-dimensional views greatly improve comprehension of complex multidimensional data, and animations of time series foster better understanding of the underlying processes. The visualizations also offer an effective means to communicate the complexities of environmental mineralogy to colleagues, students and the public. Here we present three different kinds of datasets that demonstrate the effectiveness of the GeoWall in clarifying complex environmental reactions at the atomic scale. First, a time-resolved series of diffraction patterns obtained during the hydrothermal synthesis of metal oxide phases from precursor solutions can be viewed as a surface with interactive controls for peak scaling and color mapping. Second, the results of

  5. Autonomous Spacecraft Navigation With Pulsars

    CERN Document Server

    Becker, Werner; Jessner, Axel

    2013-01-01

    An external reference system suitable for deep space navigation can be defined by fast spinning and strongly magnetized neutron stars, called pulsars. Their beamed periodic signals have timing stabilities comparable to atomic clocks and provide characteristic temporal signatures that can be used as natural navigation beacons, quite similar to the use of GPS satellites for navigation on Earth. By comparing pulse arrival times measured on-board a spacecraft with predicted pulse arrivals at a reference location, the spacecraft position can be determined autonomously and with high accuracy everywhere in the solar system and beyond. The unique properties of pulsars make clear already today that such a navigation system will have its application in future astronautics. In this paper we describe the basic principle of spacecraft navigation using pulsars and report on the current development status of this novel technology.

  6. Description of the RDCDS Meteorological Component

    Energy Technology Data Exchange (ETDEWEB)

    Pekour, Mikhail S.; Berg, Larry K.

    2007-10-01

    This report provides a detailed description of the Rapidly Deployable Chemical Defense System (RDCDS) Meteorological Component. The Meteorological Component includes four surface meteorological stations, miniSODAR, laptop computers, and communications equipment. This report describes the equipment that is used, explains the operation of the network, and gives instructions for setting up the Component and replacing defective parts. A detailed description of operation and use of the individual sensors, including the data loggers is not covered in the current document, and the interested reader should refer to the manufacturer’s documentation.

  7. Meteorological data analysis using MapReduce.

    Science.gov (United States)

    Fang, Wei; Sheng, V S; Wen, XueZhi; Pan, Wubin

    2014-01-01

    In the atmospheric science, the scale of meteorological data is massive and growing rapidly. K-means is a fast and available cluster algorithm which has been used in many fields. However, for the large-scale meteorological data, the traditional K-means algorithm is not capable enough to satisfy the actual application needs efficiently. This paper proposes an improved MK-means algorithm (MK-means) based on MapReduce according to characteristics of large meteorological datasets. The experimental results show that MK-means has more computing ability and scalability.

  8. Meteorological Data Analysis Using MapReduce

    Directory of Open Access Journals (Sweden)

    Wei Fang

    2014-01-01

    Full Text Available In the atmospheric science, the scale of meteorological data is massive and growing rapidly. K-means is a fast and available cluster algorithm which has been used in many fields. However, for the large-scale meteorological data, the traditional K-means algorithm is not capable enough to satisfy the actual application needs efficiently. This paper proposes an improved MK-means algorithm (MK-means based on MapReduce according to characteristics of large meteorological datasets. The experimental results show that MK-means has more computing ability and scalability.

  9. BOREAS AFM-6 Surface Meteorological Data

    Science.gov (United States)

    Wilczak, James; Hall, Forrest G. (Editor); Newcomer, Jeffrey A. (Editor); Smith, David E. (Technical Monitor)

    2000-01-01

    The Boreal Ecosystem-Atmosphere Study (BOREAS) Airborne Fluxes and Meteorology (AFM)-6 team from the National Oceanic and Atmospheric Adminsitration/Environment Technology Laboratory (NOAA/ETL) collected surface meteorological data from 21 May to 20 Sep 1994 near the Southern Study Area-Old Jack Pine (SSA-OJP) tower site. The data are in tabular ASCII files. The surface meteorological data are available from the Earth Observing System Data and Information System (EOSDIS) Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center (DAAC). The data files are available on a CD-ROM (see document number 20010000884).

  10. Navigation System of Marks Areas - USACE IENC

    Data.gov (United States)

    Department of Homeland Security — These inland electronic Navigational charts (IENCs) were developed from available data used in maintenance of Navigation channels. Users of these IENCs should be...

  11. Dynamic Transportation Navigation

    Science.gov (United States)

    Meng, Xiaofeng; Chen, Jidong

    Miniaturization of computing devices, and advances in wireless communication and sensor technology are some of the forces that are propagating computing from the stationary desktop to the mobile outdoors. Some important classes of new applications that will be enabled by this revolutionary development include intelligent traffic management, location-based services, tourist services, mobile electronic commerce, and digital battlefield. Some existing application classes that will benefit from the development include transportation and air traffic control, weather forecasting, emergency response, mobile resource management, and mobile workforce. Location management, i.e., the management of transient location information, is an enabling technology for all these applications. In this chapter, we present the applications of moving objects management and their functionalities, in particular, the application of dynamic traffic navigation, which is a challenge due to the highly variable traffic state and the requirement of fast, on-line computations.

  12. Inversion of GPS meteorology data

    Directory of Open Access Journals (Sweden)

    K. Hocke

    Full Text Available The GPS meteorology (GPS/MET experiment, led by the Universities Corporation for Atmospheric Research (UCAR, consists of a GPS receiver aboard a low earth orbit (LEO satellite which was launched on 3 April 1995. During a radio occultation the LEO satellite rises or sets relative to one of the 24 GPS satellites at the Earth's horizon. Thereby the atmospheric layers are successively sounded by radio waves which propagate from the GPS satellite to the LEO satellite. From the observed phase path increases, which are due to refraction of the radio waves by the ionosphere and the neutral atmosphere, the atmospheric parameter refractivity, density, pressure and temperature are calculated with high accuracy and resolution (0.5–1.5 km. In the present study, practical aspects of the GPS/MET data analysis are discussed. The retrieval is based on the Abelian integral inversion of the atmospheric bending angle profile into the refractivity index profile. The problem of the upper boundary condition of the Abelian integral is described by examples. The statistical optimization approach which is applied to the data above 40 km and the use of topside bending angle profiles from model atmospheres stabilize the inversion. The retrieved temperature profiles are compared with corresponding profiles which have already been calculated by scientists of UCAR and Jet Propulsion Laboratory (JPL, using Abelian integral inversion too. The comparison shows that in some cases large differences occur (5 K and more. This is probably due to different treatment of the upper boundary condition, data runaways and noise. Several temperature profiles with wavelike structures at tropospheric and stratospheric heights are shown. While the periodic structures at upper stratospheric heights could be caused by residual errors of the ionospheric correction method, the periodic temperature fluctuations at heights below 30 km are most likely caused by atmospheric waves (vertically

  13. Communicating meteorology through popular music

    Science.gov (United States)

    Brown, Sally; Aplin, Karen; Jenkins, Katie; Mander, Sarah; Walsh, Claire; Williams, Paul

    2015-04-01

    Previous studies of weather-inspired classical music showed that all forms of music (as well as visual arts and literature) reflect the significance of the environment in society. Here we quantify the extent to which weather has inspired popular musicians, and how weather is represented in English-language pop music. Our work is in press at Weather. Over 750 songs have been identified which were found to refer to meteorological phenomena, mainly in their lyrics, but also in the title of the song, name of the band or songwriter and occasionally in the song's music or sound effects. Over one third of the songs analysed referred to either sun or rain, out of a possible 20 weather categories. It was found that artists use weather to describe emotion, for example, to mirror the changes in a relationship. In this context, rain was broadly seen negatively, and might be used to signify the end of a relationship. Rain could also be perceived in a positive way, such as in songs from more agricultural communities. Wind was the next most common weather phenomenon, but did not represent emotions as much as sun or rain. However, it was the most frequently represented weather type in the music itself, such as in instrumental effects, or non-verbally in choruses. From the limited evidence available, we found that artists were often inspired by a single weather event in writing lyrics, whereas the outcomes were less clearly identifiable from longer periods of good or bad weather. Some artists were influenced more by their environment than others, but they were often inspired to write many songs about their surroundings as part of every-day life, rather than weather in particular. Popular singers and songwriters can therefore emotionally connect their listeners to the environment; this could be exploited to communicate environmental science to a broad audience.

  14. Standardization Promotes the Quality of Meteorological Audio & Video Service

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    As an important part of meteorological sector and a critical basis for enhancing the capability of meteorological disaster prevention and mitigation and climate change response,the meteorological standardization is a significant support for facilitating the good and quick development of meteorological sector.Huafeng Group,as a leading enterprise of meteorological audio & video service,has,for years,attached much importance to employing the standardization of meteorological audio & video service to improve its management level and quality of programs,enhance the quality of meteorological audio & video service,build the brand image,cultivate the highlevel backbone personnel,and facilitate the sustainable development of meteorological audio & video service.

  15. Fall, mineralogy and chemistry of Nathdwara H6 chondrite

    Directory of Open Access Journals (Sweden)

    V. Agarwal

    2014-05-01

    Full Text Available We report here for the first time the composition and mineralogical studies on a new meteorite, which fell in Dhayala ki Chappar (24°58′N, 73°48′27″E 5 km NW of Nathdwara in south Rajasthan, India, on Dec. 25th, 2012. Mineralogical and compositional studies were carried out on a representative piece of the Nathdwara meteorite sample. The mineralogical composition of the meteorite has been found to be olivine (42−45 vol.%, feldspar (10−15 vol.%, orthopyroxene (23−25 vol.%, troilite (6−8 vol.%, and titanium bearing minerals (6−8 vol.%. Our investigations show that the Nathdwara meteorite belongs to H6 group of ordinary chondrites.

  16. Fall, mineralogy and chemistry of Nathdwara H6 chondrite

    Institute of Scientific and Technical Information of China (English)

    V. Agarwal; G. Parthasarathy; M.S. Sisodia; N. Bhandari

    2014-01-01

    We report here for the first time the composition and mineralogical studies on a new meteorite, which fell in Dhayala ki Chappar (24º58'N, 73º48'27'' E) 5 km NW of Nathdwara in south Rajasthan, India, on Dec. 25th, 2012. Mineralogical and compositional studies were carried out on a representative piece of the Nathdwara meteorite sample. The mineralogical composition of the meteorite has been found to be olivine (42-45 vol.%), feldspar (10-15 vol.%), orthopyroxene (23-25 vol.%), troilite (6-8 vol.%), and titanium bearing minerals (6-8 vol.%). Our investigations show that the Nathdwara meteorite belongs to H6 group of ordinary chondrites.

  17. Impact of mineralogical heterogeneity on reactive transport modelling

    Science.gov (United States)

    Liu, Min; Shabaninejad, Mehdi; Mostaghimi, Peyman

    2017-07-01

    Impact of mineralogical heterogeneity of rocks in reactive modelling is investigated by applying a pore scale model based on the Lattice Boltzmann and Finite Volume Methods. Mass transport, chemical reaction and solid structure modification are included in the model. A two-dimensional mineral map of a sandstone rock is acquired using the imaging technique of QEMSCAN SEM with Energy-Dispersive X-ray Spectroscopy (EDS). The mineralogical heterogeneity is explored by conducting multi-mineral reaction simulations on images containing various minerals. The results are then compared with the prediction of single mineral dissolution modelling. Dissolution patterns and permeability variations of multi-mineral and single mineral reactions are presented. The errors of single mineral reaction modelling are also estimated. Numerical results show that mineralogical heterogeneity can cause significant errors in permeability prediction, if a uniform mineral distribution is assumed. The errors are smaller in high Péclet regimes than in low Péclet regimes in this sample.

  18. Mineralogy of the Culebra Dolomite Member of the Rustler Formation

    Energy Technology Data Exchange (ETDEWEB)

    Sewards, T.; Williams, M.L.; Keil, K. (New Mexico Univ., Albuquerque, NM (USA))

    1991-03-01

    This report characterizes the mineralogy of the Culebra Member of the Rustler Formation based on studies of samples from cores of eight boreholes surrounding the WIPP repository. This investigation has three main goals: to obtain accurate modal compositions of all the samples selected; to investigate both the lateral and vertical variation of the mineralogy of the Culebra unit; and, to characterize water-bearing fracture surfaces in particular detail. The Culebra Dolomite member of the Rustler Formation is mineralogically and texturally heterogeneous, both vertically and horizontally. Although the predominant mineral is dolomite, important constituents of the formation are clay, quartz, gypsum, and calcite. Trace minerals include halite, phyllosilicates of metamorphic origin, feldspar, and pyrite. 24 refs., 90 figs., 27 tabs.

  19. Determinative Mineralogy: An Essential Component of Planetary Exploration

    Science.gov (United States)

    Bish, D. T.; Vaniman, D. T.; Blake, D. F.; Green, J. R.; Johnston, C. T.; Kelly-Serrato, B. A.; Ming, D. W.; Papike, J. J.; Yen, A. S.; Zolensky, M. E.

    2002-08-01

    Mineralogy is a fundamental characteristic of extraterrestrial bodies because different mineral assemblages can be used to characterize present and past conditions of the atmosphere, the surface, the crust, and the deep interior of a planet. Many tools are used in space exploration, and the exploration of extraterrestrial mineralogy is no exception. The tools that are needed include remote observations, in-situ analysis with landed instruments, and analysis of returned samples in laboratories on Earth. In a balanced exploration program, all three sources of data are necessary. Likewise, no one method will provide the information needed to understand the makeup and history of extraterrestrial bodies. This paper is intended as a starting point for the development of truly integrated mineralogic instrumentation efforts that will combine the diverse capabilities of many analytical methods.

  20. 33 CFR 66.10-15 - Aids to navigation.

    Science.gov (United States)

    2010-07-01

    ... 33 Navigation and Navigable Waters 1 2010-07-01 2010-07-01 false Aids to navigation. 66.10-15 Section 66.10-15 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY AIDS TO NAVIGATION PRIVATE AIDS TO NAVIGATION Uniform State Waterway Marking System § 66.10-15 Aids to navigation....

  1. Interim report on the meteorological database

    Energy Technology Data Exchange (ETDEWEB)

    Stage, S.A.; Ramsdell, J.V.; Simonen, C.A.; Burk, K.W.

    1993-01-01

    The Hanford Environmental Dose Reconstruction (HEDR) Project is estimating radiation doses that individuals may have received from operations at Hanford from 1944 to the present. An independent Technical Steering Panel (TSP) directs the project, which is being conducted by the Battelle, Pacific Northwest Laboratories in Richland, Washington. The goals of HEDR, as approved by the TSP, include dose estimates and determination of confidence ranges for these estimates. This letter report describes the current status of the meteorological database. The report defines the meteorological data available for use in climate model calculations, describes the data collection procedures and the preparation and control of the meteorological database. This report also provides an initial assessment of the data quality. The available meteorological data are adequate for atmospheric calculations. Initial checks of the data indicate the data entry accuracy meets the data quality objectives.

  2. Adaptive Weather Forecasting using Local Meteorological Information

    NARCIS (Netherlands)

    Doeswijk, T.G.; Keesman, K.J.

    2005-01-01

    In general, meteorological parameters such as temperature, rain and global radiation are important for agricultural systems. Anticipating on future conditions is most often needed in these systems. Weather forecasts then become of substantial importance. As weather forecasts are subject to

  3. Mineralogy of Rocks and Sediments at Gale Crater, Mars

    Science.gov (United States)

    Achilles, Cherie; Downs, Robert; Blake, David; Vaniman, David; Ming, Doug; Rampe, Elizabeth; Morris, Dick; Morrison, Shaunna; Treiman, Allan; Chipera, Steve; Yen, Albert; Bristow, Thomas; Craig, Patricia; Hazen, Robert; Crisp, Joy; Grotzinger, John; Des Marias, David; Farmer, Jack; Sarrazin, Philippe; Morookian, John Michael

    2017-04-01

    The Mars Science Laboratory rover, Curiosity, is providing in situ mineralogical, geochemical, and sedimentological assessments of rocks and soils in Gale crater. Since landing in 2012, Curiosity has traveled over 15 km, providing analyses of mudstones and sandstones to build a stratigraphic history of the region. The CheMin X-ray diffraction (XRD) instrument is the first instrument on Mars to provide quantitative mineralogical analyses of drilled powders and scooped sediment based on X-ray crystallography. CheMin identifies and determines mineral abundances and unit-cell parameters of major crystalline phases, and identifies minor phases at abundances >1 wt%. In conjunction with elemental analyses, CheMin-derived crystal chemistry allows for the first calculations of crystalline and amorphous material compositions. These mineralogy, crystal chemistry, and amorphous chemistry datasets are playing central roles in the characterization of Gale crater paleoenvironments. CheMin has analyzed 17 rock and sediment samples. In the first phase of the mission, Curiosity explored the sedimentary units of Aeolis Palus (Bradbury group), including two mudstones from Yellowknife Bay. CheMin analyses of the Yellowknife Bay mudstones identified clay minerals among an overall basaltic mineral assemblage. These mineralogical results, along with imaging and geochemical analyses, were used to characterize an ancient lacustrine setting that is thought to have once been a habitable environment. Following the investigations of the Bradbury group, Curiosity arrived at the lower reaches of Aeolis Mons, commonly called Mt. Sharp. A strategic sample campaign was initiated, drilling bedrock at primary sandstone and show decreased abundances of feldspar and pyroxene, and an increase in the amorphous component, specifically high-silica phases. The Murray formation is the most sampled stratigraphic unit in Gale crater. Composed mainly of finely laminated mudstones and interpreted as lacustrine

  4. Notas de mineralogía parte I

    OpenAIRE

    Henao Vásquez, Martha

    1987-01-01

    Resumen: El presente trabajo, llamado "Notas de mineralogía, parte I", es un resumen y recopilación de temas de varios textos, notas y de la misma experiencia docente. Existen dos razones que motivan la elaboración de estas notas, y son: en primer lugar, un requisito parcial para la promoción a la categoría de Profesor Asistente de la Facultad de Ciencias, Universidad Nacional, y en segundo, por ser la mineralogía una asignatura esencial en programas tales como geología, ingeniería de geol...

  5. MINERALOGICAL FEATURES OF ULTRAMAFIC HYPOXENOLITHS IN ALKALI-RICH PORPHYRY

    Institute of Scientific and Technical Information of China (English)

    LIU Xianfan; YANG Zhengxi; LIU Jiaduo; ZHANG Chengjiang; WU Dechao; LI Youguo

    2003-01-01

    Ultramafic hypoxenoliths found in the alkali-rich porphyry in the Liuhe Village, Heqing, Yunnan,China, are of great significance in understanding the origin and evolution of the porphyry. This paper discusses the mineralogical features of the hypoxenoliths. It shows that the xenoliths are characterized by the upper mantle rocks modified to certain extent by the enriched mantle fluid metasomatism in the mantle environment, with the enriched mantle property of Iow-degree partial melting. This constitutes the important mineralogical evidence for the petrogenesis and mineralization of alkali-rich porphyry.

  6. Clay mineralogical and geochemical proxies of the East Asian summer monsoon evolution in the South China Sea during Late Quaternary

    Science.gov (United States)

    Chen, Quan; Liu, Zhifei; Kissel, Catherine

    2017-01-01

    The East Asian summer monsoon controls the climatic regime of an extended region through temperature and precipitation changes. As the East Asian summer monsoon is primarily driven by the northern hemisphere summer insolation, such meteorological variables are expected to significantly change on the orbital timescale, influencing the composition of terrestrial sediments in terms of both mineralogy and geochemistry. Here we present clay mineralogy and major element composition of Core MD12-3432 retrieved from the northern South China Sea, and we investigate their relationship with the East Asian summer monsoon evolution over the last 400 ka. The variability of smectite/(illite + chlorite) ratio presents a predominant precession periodicity, synchronous with the northern hemisphere summer insolation changes and therefore with that of the East Asian summer monsoon. Variations in K2O/Al2O3 are characterized by eccentricity cycles, increasing during interglacials when the East Asian summer monsoon is enhanced. Based on the knowledge of sediment provenances, we suggest that these two proxies in the South China Sea are linked to the East Asian summer monsoon evolution with different mechanisms, which are (1) contemporaneous chemical weathering intensity in Luzon for smectite/(illite + chlorite) ratio and (2) river denudation intensity for K2O/Al2O3 ratio of bulk sediment. PMID:28176842

  7. Clay mineralogical and geochemical proxies of the East Asian summer monsoon evolution in the South China Sea during Late Quaternary.

    Science.gov (United States)

    Chen, Quan; Liu, Zhifei; Kissel, Catherine

    2017-02-08

    The East Asian summer monsoon controls the climatic regime of an extended region through temperature and precipitation changes. As the East Asian summer monsoon is primarily driven by the northern hemisphere summer insolation, such meteorological variables are expected to significantly change on the orbital timescale, influencing the composition of terrestrial sediments in terms of both mineralogy and geochemistry. Here we present clay mineralogy and major element composition of Core MD12-3432 retrieved from the northern South China Sea, and we investigate their relationship with the East Asian summer monsoon evolution over the last 400 ka. The variability of smectite/(illite + chlorite) ratio presents a predominant precession periodicity, synchronous with the northern hemisphere summer insolation changes and therefore with that of the East Asian summer monsoon. Variations in K2O/Al2O3 are characterized by eccentricity cycles, increasing during interglacials when the East Asian summer monsoon is enhanced. Based on the knowledge of sediment provenances, we suggest that these two proxies in the South China Sea are linked to the East Asian summer monsoon evolution with different mechanisms, which are (1) contemporaneous chemical weathering intensity in Luzon for smectite/(illite + chlorite) ratio and (2) river denudation intensity for K2O/Al2O3 ratio of bulk sediment.

  8. Lunar Navigation Architecture Design Considerations

    Science.gov (United States)

    D'Souza, Christopher; Getchius, Joel; Holt, Greg; Moreau, Michael

    2009-01-01

    The NASA Constellation Program is aiming to establish a long-term presence on the lunar surface. The Constellation elements (Orion, Altair, Earth Departure Stage, and Ares launch vehicles) will require a lunar navigation architecture for navigation state updates during lunar-class missions. Orion in particular has baselined earth-based ground direct tracking as the primary source for much of its absolute navigation needs. However, due to the uncertainty in the lunar navigation architecture, the Orion program has had to make certain assumptions on the capabilities of such architectures in order to adequately scale the vehicle design trade space. The following paper outlines lunar navigation requirements, the Orion program assumptions, and the impacts of these assumptions to the lunar navigation architecture design. The selection of potential sites was based upon geometric baselines, logistical feasibility, redundancy, and abort support capability. Simulated navigation covariances mapped to entry interface flightpath- angle uncertainties were used to evaluate knowledge errors. A minimum ground station architecture was identified consisting of Goldstone, Madrid, Canberra, Santiago, Hartebeeshoek, Dongora, Hawaii, Guam, and Ascension Island (or the geometric equivalent).

  9. Meteorological Factors Affecting Evaporation Duct Height Climatologies.

    Science.gov (United States)

    1980-07-01

    this present study’s central tendency statistics (monthly means, modes, and medians). The exceptions are OWS ALFA and BRAVO, and to some degree CHARLIE...Seattle 98762 Commanding Officer Superintendent Office of Naval Research U.S. Naval Academy Eastern/ Central Regional Office Library Acquisitions Bldg. 114...Italy Maritime Meteorology Division Japan Meteorological Agency Ote-Machi 1-3-4 Chiyoda-Ku Tokyo, Japan Instituto De Geofisica U.N.A.M. Biblioteca

  10. Meteorological measurements at nuclear power plants

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-12-31

    On-site meteorological measurements are necessary for evaluating atmospheric dispersion of gaseous effluents. Radiation doses in a plant`s vicinity due to these effluents are calculated from the results of dispersion evaluations. The guide addresses the requirements for on-site meteorological measurement systems. Guide YVL 7.3 addresses atmospheric dispersion evaluations and calculation methods, Guide YVL 7.2 radiation dose calculations and Guide YVL 7.8 environmental data reporting. (5 refs.).

  11. Navigable networks as Nash equilibria of navigation games

    Science.gov (United States)

    Gulyás, András; Bíró, József J.; Kőrösi, Attila; Rétvári, Gábor; Krioukov, Dmitri

    2015-07-01

    Common sense suggests that networks are not random mazes of purposeless connections, but that these connections are organized so that networks can perform their functions well. One function common to many networks is targeted transport or navigation. Here, using game theory, we show that minimalistic networks designed to maximize the navigation efficiency at minimal cost share basic structural properties with real networks. These idealistic networks are Nash equilibria of a network construction game whose purpose is to find an optimal trade-off between the network cost and navigability. We show that these skeletons are present in the Internet, metabolic, English word, US airport, Hungarian road networks, and in a structural network of the human brain. The knowledge of these skeletons allows one to identify the minimal number of edges, by altering which one can efficiently improve or paralyse navigation in the network.

  12. A greedy-navigator approach to navigable city plans

    CERN Document Server

    Lee, Sang Hoon

    2012-01-01

    We use a set of four theoretical navigability indices for street maps to investigate the shape of the resulting street networks, if they are grown by optimizing these indices. The indices compare the performance of simulated navigators (having a partial information about the surroundings, like humans in many real situations) to the performance of optimally navigating individuals. We show that our simple greedy shortcut construction strategy generates the emerging structures that are different from real road network, but not inconceivable. The resulting city plans, for all navigation indices, share common qualitative properties such as the tendency for triangular blocks to appear, while the more quantitative features, such as degree distributions and clustering, are characteristically different depending on the type of metrics and routing strategies. We show that it is the type of metrics used which determines the overall shapes characterized by structural heterogeneity, but the routing schemes contribute to m...

  13. Mineralogy: a modern approach to teaching a traditional discipline

    Science.gov (United States)

    Cook, G. W.

    2011-12-01

    Mineralogy has traditionally been a primary component in undergraduate geoscience curriculum. In recent years, there has been a trend in which mineralogy and petrology have been combined into Earth Materials courses. This is unfortunate as these disciplines each have much to offer students, and content once considered essential is eliminated out of necessity. Mineralogy is still fundamental to students' understanding of the Earth and Earth processes. Using a modern approach to time-honored concepts, I teach a quarter-long Introductory Mineralogy class offered through the Scripps Institution of Oceanography at the University of California, San Diego. Student evaluations of this course unequivocally indicate a high degree of learning and interest in the material, confirming that mineralogy continues to be a valuable class into the 21st century. While much of the content remains similar to what has been taught over the last century, my strategy involves a well-balanced approach to old and new. The first third of the course is background including the relevance of mineralogy, crystal chemistry, and crystallography; the second third of the course is systematic mineralogy using the Dana system; the last third of the course is devoted to understanding optical mineralogy, using modern analytical equipment such as XRD and SEM, and learning to use the petrographic microscope. Throughout the quarter, a strong emphasis is placed on the importance of hand-sample identification. Field work, traditionally not emphasized in mineralogy courses, has been re-introduced to the curriculum. I use modern technology to facilitate and support student learning. A lecture-based approach is employed with carefully crafted and organized PowerPoint presentations. PowerPoint lectures can be effective and highly engaging. The key is to ensure that the lectures are not overly reliant on text, instead relying on diagrams, charts, photos, and embedded media such as 3-D animations (ex. to teach

  14. Navigation in Augmented Reality, Navigation i Augmented Reality

    OpenAIRE

    Bernelind, Sarah

    2015-01-01

    The concept of augmented reality has existed since the 60’s. In this thesis it has been investigated if navigation using a mobile device would benefit, from a usability perspective, if the navigational data were presented using augmented reality instead of a standardized map. The usability principles from which the applications were evaluated are learnability, user satisfaction, efficiency and effectivity. An AR prototype was developed and tested against a standard map, in the form of Google ...

  15. Applied Mineralogy: A Critical Review and 5-Year Plan for Its Strategic Use within Teck

    OpenAIRE

    Nichola Ann McKay

    2015-01-01

    A strategic business case analysis and five-year plan are presented here for the Teck Applied Mineralogy group in Trail, British Columbia. Applied mineralogy is a key technical competency for Teck Resources that adds value in the fields of process mineralogy supporting optimization at the mining operations, and in ore characterization supporting evaluation of greenfield and brownfield properties. This 2016-2020 business plan for the applied mineralogy group is cognisant of the current mining ...

  16. Exploring maps with greedy navigators

    CERN Document Server

    Lee, Sang Hoon

    2011-01-01

    During the last decade of network researches focusing on structural and dynamical properties of networks, the role of network users has been more or less underestimated from the bird's eye view of global perspective. In this era of GPS-equipped smartphones, however, user's ability to access local geometric information and find efficient pathways on networks plays a crucial role, rather than the globally optimal pathways. We present a simple greedy spatial navigation strategy as a probe to explore spatial networks. These greedy navigators use directional information in every move they take, without being trapped in a dead end based on their memory about previous routes. We suggest that the centralities measures have to be modified to incorporate the navigators' behavior, and present the intriguing effect of navigators' greediness where removing some edges may actually enhance the routing efficiency, which is reminiscent of Braess's paradox caused by the chasm between user and global optimum. In addition, using...

  17. Radio Navigation Waveform Experiment Project

    Data.gov (United States)

    National Aeronautics and Space Administration — NASA is installing the Communications, Navigation, and Networking reConfigurable Testbed (CoNNeCT) onto the truss of the International Space Station to demonstrate...

  18. NOAA Electronic Navigational Charts (ENC)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Office of Coast Survey (OCS) has been involved in the development of a NOAA Electronic Navigational Chart (NOAA ENC) suite to support the marine transportation...

  19. CONTRAST IN CLAY MINERALOGY AND THEIR EFFECT ON ...

    African Journals Online (AJOL)

    a

    Petroleum Operations Department, Ministry of Mines and Energy, P.O. Box 486, Kotebe ... mineralogy impact on porosity permeability and other reservoir ..... iron is present as ferric oxides and enters into the crystal lattice of the clay or makes ...

  20. Mineralogy and geochemistry of density-separated Greek lignite fractions

    NARCIS (Netherlands)

    Iordanidis, A.; Doesburg, van J.D.J.

    2006-01-01

    In this study, lignite samples were collected from the Ptolemais region, northern Greece, homogenized, crushed to less than I nun, and separated in three density fractions using heavy media. The mineralogical investigation of the density fractions showed a predominance of pyrite in the light fractio

  1. Mineralogy and geochemistry of bauxite and bentonite deposits from Mozambique

    NARCIS (Netherlands)

    Dos Muchangos, A.C.

    2000-01-01

    Results of mineralogical and geochemical studies of bauxites, kaolinitic clays and bentoniteS from Mozambique are presented in this thesis. The bauxite and kaolinitic clay deposits in Penhalonga area (in the central western part of Mozambique) are associated with Precambrian magmatic rocks and the b

  2. Mineralogical Results from the Mars Science Laboratory Rover Curiosity

    Science.gov (United States)

    Blake, David Frederick.

    2017-01-01

    NASA's CheMin instrument, the first X-ray Diffractometer flown in space, has been operating on Mars for nearly five years. CheMin was first to establish the quantitative mineralogy of the Mars global soil (1). The instrument was next used to determine the mineralogy of a 3.7 billion year old lacustrine mudstone, a result that, together with findings from other instruments on the MSL Curiosity rover, documented the first habitable environment found on another planet (2). The mineralogy of this mudstone from an ancient playa lake was also used to derive the maximum concentration of CO2 in the early Mars atmosphere, a surprisingly low value that calls into question the current theory that CO2 greenhouse warming was responsible for the warm and wet environment of early Mars. CheMin later identified the mineral tridymite, indicative of silica-rich volcanism, in mudstones of the Murray formation on Mt. Sharp. This discovery challenges the paradigm of Mars as a basaltic planet and ushers in a new chapter of comparative terrestrial planetology (3). CheMin is now being used to systematically sample the sedimentary layers that comprise the lower strata of Mt. Sharp, a 5,000 meter sequence of sedimentary rock laid down in what was once a crater lake, characterizing isochemical sediments that through their changing mineralogy, document the oxidation and drying out of the Mars in early Hesperian time.

  3. Mineralogy and geochemistry of bauxite and bentonite deposits from Mozambique

    NARCIS (Netherlands)

    Dos Muchangos, A.C.

    2000-01-01

    Results of mineralogical and geochemical studies of bauxites, kaolinitic clays and bentoniteS from Mozambique are presented in this thesis. The bauxite and kaolinitic clay deposits in Penhalonga area (in the central western part of Mozambique) are associated with Precambrian magmatic rocks and the b

  4. Mineralogical and geochemical study of mud volcanoes in north ...

    African Journals Online (AJOL)

    AJL

    Key word: Mud volcano, clay mineralogy, geochemistry, mud breccias, North Moroccan Atlantic margin. INTRODUCTION .... The geochemical analysis of the metals shows a high Ti ..... smectite evolved into an illite, or because the initial source is not .... Pinheiro LM, Kopf A, Boetius A (2006): Microbial methane turnover at.

  5. Clay mineralogy of the mud banks of Cochin

    Digital Repository Service at National Institute of Oceanography (India)

    Nair, R.R.; Murty, P.S.N.

    The mineralogy of the sediments constituting the mud banks formed off Cochin, Kerala, India was studied. The clay mineral composition was used as a means of understanding the nature and source of origin of the muds. Fine fraction of the mud samples...

  6. Environmental factors of urinary stones mineralogy, Khouzestan Province, Iran

    Science.gov (United States)

    Zarasvandi, Alireza; Carranza, E. J. M.; Heidari, Majid; Mousapour, Esmaeil

    2014-09-01

    Urinary stone diseases in the Khouzestan province (southwest Iran) are growing in number and it required extensive studies on various factors of the urinary stones formation in this province. In this research, in addition to distribution of urinary stones in different areas of province, the role of bioenvironmental (race), climate (temperature) and geology (water hardness) factors in urinary stones diversity has been studied. Mineralogical studied using X-ray diffraction showed that uricite and whewellite are the most frequency mineral phases. Struvite, Cystine, hydroxyapatite, weddellite, and Niahite can be observed as urinary stones, too. These data show that the urinary stone in the Khouzestan province can divide into 7 groups: calcium oxalate, phosphate, calcium oxalate/ phosphate, Urate, Urate/calcium, Urate/calcium oxalate/phosphate, Cystine/calcium oxalate. Also the results which attained from temperature effect investigation on the mineralogy of urinary stones, confirms that from Mediterranean sub-humid climates (northeastern area) to warm and dry climates (south and southwest area), calcium oxalate stones and urate stones concentration decreases and increases respectively. Comparison of data related to the drinking water hardness and mineralogy of urinary stones in different areas of Khouzestan province show that the combination of drinking water (especially water hardness) affects mineralogy of urinary stones in some areas (such az Ramhormoz and Hendijan). Finally, the data suggest that frequency of calcium oxalate in women is more than that of men. Moreover, there is direct relationship between the age (>45 years) and the increase in frequency of Urate minerals.

  7. Variations in the Fe mineralogy of bright Martian soil

    Science.gov (United States)

    Murchie, Scott; Mustard, John; Erard, Stephane; Geissler, Paul; Singer, Robert

    1993-01-01

    Bright regions on Mars are interpreted as 'soil' derived by chemical alteration of crustal rocks, whose main pigmentary component is ferric oxide or oxyhydroxide. The mineralogy and mineralogic variability of ferric iron are important evidence for the evolution of Martian soil: mineralogy of ferric phases is sensitive to chemical conditions in their genetic environments, and the spatial distributions of different ferric phases would record a history of both chemical environments and physical mixing. Reflectance spectroscopic studies provide several types of evidence that discriminate possible pigmentary phases, including the position of a crystal field absorption near 0.9 microns and position and strengths of absorptions in the UV-visible wavelength region. Recent telescopic spectra and laboratory measurements of Mars soil analogs suggest that spectral features of bright soil can be explained based on a single pigmentary phase, hematite (alpha-Fe2O3), occurring in both 'nanophase' and more crystalline forms. Here we report on a systematic investigation of Martian bright regions using ISM imaging spectrometer data, in which we examined spatial variations in the position and shape of the approximately 0.9 microns absorption. We found both local and regional heterogeneities that indicate differences in Fe mineralogy. These results demonstrate that bright soils do not represent a single lithology that has been homogenized by eolian mixing, and suggest that weathering of soils in different geologic settings has followed different physical and chemical pathways.

  8. Models as an Aid to Courses in Crystallography and Mineralogy.

    Science.gov (United States)

    Brady, K. T.

    1983-01-01

    Three models used in teaching crystallography/mineralogy at the University of Technology (Papua, New Guinea) are described. These include stereographic projection model, optical indicatrix models for Istropic/Anisotropic minerals, and model showing effect of anisotropic minerals under crossed polars. Photographs of the models are also included.…

  9. Mineralogy and geochemistry of density-separated Greek lignite fractions

    NARCIS (Netherlands)

    Iordanidis, A.; Doesburg, van J.D.J.

    2006-01-01

    In this study, lignite samples were collected from the Ptolemais region, northern Greece, homogenized, crushed to less than I nun, and separated in three density fractions using heavy media. The mineralogical investigation of the density fractions showed a predominance of pyrite in the light fractio

  10. LITERATURE FORENSICS: NAVIGATING THROUGH ...

    Science.gov (United States)

    Intimidation and bewilderment are but two feelings scientists often confront when facing the ever- expanding universe of the published scientific literature. With the birth of any hypothesis, all fantasies of a one-way freeway for a scientific endeavor evaporate when the journey abruptly confronts a forked-road dilemma. One direction (what is known and what was known) leads back in time. A twisted, rutted, convoluted course, it can reveal how, and from where, pioneers from other, unrelated journeys arrived at the same juncture; but it can make for a punishing and, at first thought, boring ride. The other (what is unknown or pretends to be the unknown) quickly recedes into what at least appears to be the unexplored horizon - and its seductive siren can easily win our attention. Proper navigation of this juncture of old vs. new, past vs. future, dull vs. exciting, known vs. unknown is critical in avoiding a morass of ill fates, including reinventions duplication, and attendant ridicule or censure by our colleagues for failing to build upon or acknowledge what those before us have done. Following the siren of exploration without investigating where others have traveled is fraught with risks - the worst being when the fork's two branches loop back on one another, revealing that they are one continuum. What had seemed to be uncharted territory is unveiled as a Mobius path towards the fool's gold of rediscovery. Much like the disoriented spelunker seeking a

  11. Review and Development on the Studies of Chinese Meteorological Satellite and Satellite Meteorology

    Institute of Scientific and Technical Information of China (English)

    FANG Zongyi; XU Jianmin; ZHAO Fengsheng

    2006-01-01

    Meteorological satellite and satellite meteorology are the fastest developing new branches in the atmospheric sciences. Today the meteorological satellite has become a key element in the global atmospheric sounding system while the satellite meteorology is covering the main components of earth's system science.This article describes the major achievements that China has made in these fields in the past 30 years.The following contents are involved: (1) History and present status of China's meteorological satellites. It covers the development, launch, operation, technical parameters of China's polar and geostationary meteorological satellites. (2) Major achievements on remote sensing principle and method. It describes the retrieval of atmospheric temperature and humidity profiles, cloud character retrieval, aerosol character retrieval, precipitation retrieval as well as the generation of cloud wind. (3) Achievement on the studies of meteorological satellite data application. This part covers the applications of meteorological satellite data to weather analysis and forecast, numerical forecast, climate monitoring, and prediction of short-term climate change. Besides, the new results on data assimilation, climate monitoring, and forecast are also included.

  12. Iqaluit Calibration/Validation Supersite for Meteorological Satellites

    Science.gov (United States)

    Mariani, Z.; Dehghan, A.; Gascon, G.; Joe, P.; Strawbridge, K.; Burrows, W.; Melo, S.

    2016-08-01

    It is foreseen that the changing climate in the Arctic will result in increased activities, such as marine navigation, resource exploitation, aviation, fishing, and recreation, requiring reliable and relevant weather information. However, processes governing weather systems in the Arctic are not well understood. There is a recognized lack of meteorological observations to characterize the atmosphere and the cryosphere for operational forecasting and to support process studies, satellite and model calibration/validation (cal/val), and for verification. Environment and Climate Change Canada (ECCC) is enhancing the observing capacity of selected sites, including Iqaluit (64oN, 69oW), which is uniquely situated in close proximity to frequent overpasses by polar-orbiting satellites such as ADM-Aeolus, A-Train, GPM, and EarthCARE. Iqaluit's suite of instruments will provide near-real time observations of altitude resolved wind speed and direction, aerosol size and shape, cloud intensity and height, sensible heat flux, turbulence, fog, and precipitation amount/type. Initial results demonstrate their ability to detect fog, blowing snow and very light precipitation (diamond dust).

  13. Tropospheric Delay Analysis Based on Some Chinese Cities' Meteorologic Conditions

    Science.gov (United States)

    Liu, Q.; Chen, X. H.; Sun, J. Z.; Han, B. B.; Zhang, Q.

    2014-03-01

    With the increase of the users' precision in satellite orientation and navigation, the influence of the tropospheric delay has become increasingly vital, which needs to be corrected. The paper contrastively analyzes some main mapping functions' models of the tropospheric delay theory. It discusses the distributions of the hydrostatic/wet mapping functions of Niell Mapping Function (NMF), Vienna Mapping Function 1 (VMF1), and Global Mapping Function (GMF). And it analyzes tropospheric delay based on the meteorologic conditions in some Chinese cities. It could be concluded from the results that the hydrostatic VMF1 and GMF are in yearly periodic cosine distributions and approximately identical, whereas the hydrostatic NMF is roughly larger than the formers. The wet VMF1, which is influenced greatly by the atmosphere, displays close to cosine functions. Besides, VMF1 and GMF roughly display minimum in summer and maximum in winter, respectively. While the elevation angle is 10 degrees, the Slant Propagation Delays (SPDs) of the chosen stations are all in yearly periodic cosine distributions, and they decrease with the increase of the latitude. The SPD reaches maximum in summer and minimum in winter, and the difference is about 2 m.

  14. BOREAS AFM-07 SRC Surface Meteorological Data

    Science.gov (United States)

    Osborne, Heather; Hall, Forrest G. (Editor); Newcomer, Jeffrey A. (Editor); Young, Kim; Wittrock, Virginia; Shewchuck, Stan; Smith, David E. (Technical Monitor)

    2000-01-01

    The Saskatchewan Research Council (SRC) collected surface meteorological and radiation data from December 1993 until December 1996. The data set comprises Suite A (meteorological and energy balance measurements) and Suite B (diffuse solar and longwave measurements) components. Suite A measurements were taken at each of ten sites, and Suite B measurements were made at five of the Suite A sites. The data cover an approximate area of 500 km (North-South) by 1000 km (East-West) (a large portion of northern Manitoba and northern Saskatchewan). The measurement network was designed to provide researchers with a sufficient record of near-surface meteorological and radiation measurements. The data are provided in tabular ASCII files, and were collected by Aircraft Flux and Meteorology (AFM)-7. The surface meteorological and radiation data are available from the Earth Observing System Data and Information System (EOSDIS) Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center (DAAC). The data files are available on a CD-ROM (see document number 20010000884).

  15. Meteorological variability and infectious disease in Central Africa: a review of meteorological data quality.

    Science.gov (United States)

    Heaney, Alexandra; Little, Eliza; Ng, Sophia; Shaman, Jeffrey

    2016-10-01

    Central African countries may bear high climate change-related infectious disease burdens because of preexisting high rates of disease, poor healthcare infrastructure, land use changes, and high environmental change vulnerabilities. However, making connections between climate and infectious diseases in this region is hampered by the paucity of high-quality meteorological data. This review analyzes the sources and quality of meteorological data used to study the interactions between weather and infectious diseases in Central African countries. Results show that 23% of studies used meteorological data that mismatched with the disease spatial scale of interest. Use of inappropriate weather data was most frequently identified in analyses using meteorological station data or gridded data products. These findings have implications for the interpretation of existing analyses and provide guidance for the use of climate data in future analyses of the connections between meteorology and infectious diseases in Central Africa.

  16. Application of GNSS meteorology for intense precipitation case studies in Bulgaria

    Science.gov (United States)

    Yordanova, Nadezhda; Guerova, Guergana; Stoycheva, Anastasiya

    2014-05-01

    One of the applications of the Global Navigation Satellite Systems (GNSS) Meteorology is to study intense precipitation events. Development of these applications is one of the tasks of working group two of the COST Action ES1206 Advanced Global Navigation Satellite Systems tropospheric products for monitoring severe weather events and climate (GNSS4SWEC). This work is a contribution to the COST Action ES1206 and targets the use of Integrated Water Vapour (IWV), derived with the GNSS Meteorology method, during convective events with heavy precipitation in Bulgaria. Twenty-two case studies were selected for 2012. For the analysis two-dimensional maps of the IWV distribution from GNSS and Meteosat are used. A case study on the 27 June 2012 shows a strong south north gradient of the water vapour on the Balkan Peninsula before the intrusion of cold and dry air. By using these techniques the passage of a cold front is timed on the 25 May 2012. The IWV peak is between 06:00 UTC and 12:00 UTC before the passage of the cold front at 18:00 UTC. Future work will be the use of NWP model (WRF)simulations and evaluate the model performance for the selected case studies for 2012.

  17. Meteorological aspects of siting large wind turbines

    Energy Technology Data Exchange (ETDEWEB)

    Hiester, T.R.; Pennell, W.T.

    1981-01-01

    This report, which focuses on the meteorological aspects of siting large wind turbines (turbines with a rated output exceeding 100 kW), has four main goals. The first is to outline the elements of a siting strategy that will identify the most favorable wind energy sites in a region and that will provide sufficient wind data to make responsible economic evaluations of the site wind resource possible. The second is to critique and summarize siting techniques that were studied in the Department of Energy (DOE) Wind Energy Program. The third goal is to educate utility technical personnel, engineering consultants, and meteorological consultants (who may have not yet undertaken wind energy consulting) on meteorological phenomena relevant to wind turbine siting in order to enhance dialogues between these groups. The fourth goal is to minimize the chances of failure of early siting programs due to insufficient understanding of wind behavior.

  18. BOREAS AES Campbell Scientific Surface Meteorological Data

    Science.gov (United States)

    Atkinson, G. Barrie; Funk, Barrie; Knapp. David E. (Editor); Hall, Forrest G. (Editor)

    2000-01-01

    Canadian AES personnel collected data related to surface and atmospheric meteorological conditions over the BOREAS region. This data set contains 15-minute meteorological data from 14 automated meteorology stations located across the BOREAS region. Included in this data are parameters of date, time, mean sea level pressure, station pressure, temperature, dew point, wind speed, resultant wind speed, resultant wind direction, peak wind, precipitation, maximum temperature in the last hour, minimum temperature in the last hour, pressure tendency, liquid precipitation in the last hour, relative humidity, precipitation from a weighing gauge, and snow depth. Temporally, the data cover the period of August 1993 to December 1996. The data are provided in tabular ASCII files, and are classified as AFM-Staff data.

  19. 33 CFR 100.45 - Establishment of aids to navigation.

    Science.gov (United States)

    2010-07-01

    ... 33 Navigation and Navigable Waters 1 2010-07-01 2010-07-01 false Establishment of aids to navigation. 100.45 Section 100.45 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND... navigation. The District Commander will establish and maintain only those aids to navigation necessary...

  20. 33 CFR 67.35-10 - Private aids to navigation.

    Science.gov (United States)

    2010-07-01

    ... 33 Navigation and Navigable Waters 1 2010-07-01 2010-07-01 false Private aids to navigation. 67.35-10 Section 67.35-10 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY AIDS TO NAVIGATION AIDS TO NAVIGATION ON ARTIFICIAL ISLANDS AND FIXED STRUCTURES Applications §...