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    Lessons Learned From Operating Global Ocean Observing Networks

    Source: Bulletin of the American Meteorological Society:;1999:;volume( 080 ):;issue: 007::page 1413
    Author:
    Molinari, Robert L.
    DOI: 10.1175/1520-0477(1999)080<1413:LLFOGO>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: The Global Ocean Observing System Center (GOOSC) at the National Oceanic and Atmospheric Administration's (NOAA) Atlantic Oceanographic and Meteorological Laboratory operates two global observing networks, a drifting buoy array, and a Voluntary Observing Ship network. The arrays provide in real time surface atmospheric and subsurface oceanographic data needed by NOAA weather and climate forecasters. The data are used in delayed mode to verify model simulations of the ocean and atmosphere, to provide in situ calibration/validation data for remote sensing observations, and to increase understanding of the dynamics of the ocean and atmosphere. The operational and research lessons learned in the operation of the GOOSC are reviewed. Operationally, it was learned that, because of costs, international participation is required to maintain global networks; data management methodology is a critical component of operations; and integrated observing systems using multiple platforms provide more accurate products. Scientifically, it was learned, for example, that accurate characterizations of the salinity field must be available in model simulations. As more data become available it is found that scales of important phenomena such as equatorial upwelling are smaller, and high-frequency signals can impact on the mean structure of the upper ocean. These findings must be considered when designing effective sampling strategies.
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      Lessons Learned From Operating Global Ocean Observing Networks

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4161612
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    • Bulletin of the American Meteorological Society

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    contributor authorMolinari, Robert L.
    date accessioned2017-06-09T14:42:24Z
    date available2017-06-09T14:42:24Z
    date copyright1999/07/01
    date issued1999
    identifier issn0003-0007
    identifier otherams-24890.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4161612
    description abstractThe Global Ocean Observing System Center (GOOSC) at the National Oceanic and Atmospheric Administration's (NOAA) Atlantic Oceanographic and Meteorological Laboratory operates two global observing networks, a drifting buoy array, and a Voluntary Observing Ship network. The arrays provide in real time surface atmospheric and subsurface oceanographic data needed by NOAA weather and climate forecasters. The data are used in delayed mode to verify model simulations of the ocean and atmosphere, to provide in situ calibration/validation data for remote sensing observations, and to increase understanding of the dynamics of the ocean and atmosphere. The operational and research lessons learned in the operation of the GOOSC are reviewed. Operationally, it was learned that, because of costs, international participation is required to maintain global networks; data management methodology is a critical component of operations; and integrated observing systems using multiple platforms provide more accurate products. Scientifically, it was learned, for example, that accurate characterizations of the salinity field must be available in model simulations. As more data become available it is found that scales of important phenomena such as equatorial upwelling are smaller, and high-frequency signals can impact on the mean structure of the upper ocean. These findings must be considered when designing effective sampling strategies.
    publisherAmerican Meteorological Society
    titleLessons Learned From Operating Global Ocean Observing Networks
    typeJournal Paper
    journal volume80
    journal issue7
    journal titleBulletin of the American Meteorological Society
    identifier doi10.1175/1520-0477(1999)080<1413:LLFOGO>2.0.CO;2
    journal fristpage1413
    journal lastpage1419
    treeBulletin of the American Meteorological Society:;1999:;volume( 080 ):;issue: 007
    contenttypeFulltext
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