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    Monthly Mean Large-Scale Analyses of Upper-Tropospheric Humidity and Wind Field Divergence Derived from Three Geostationary Satellites

    Source: Bulletin of the American Meteorological Society:;1995:;volume( 076 ):;issue: 009::page 1578
    Author:
    Schmetz, Johannes
    ,
    Menzel, W. Paul
    ,
    Hyden, Christopher
    ,
    Velden, Christopher
    ,
    Wu, Xiangqian
    ,
    Nieman, Steve
    ,
    van de Berg, Leo
    ,
    Holmlund, Kenneth
    ,
    Geijo, Carlos
    DOI: 10.1175/1520-0477(1995)076<1578:MMLSAO>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: This paper describes the results from a collaborative study between the European Space Operations Center, the European Organization for the Exploitation of Meteorological Satellites, the National Oceanic and Atmospheric Administration, and the Cooperative Institute for meteorological Satellite Studies investigating the relationship between satellite-derived monthly mean fields of wind and humidity in the upper troposphere for March 1994. Three geostationary meteorological satellites GOES-7, Moteoset-3, and Meteosat-5 are used to cover an area from roughly 160°W to 50°E. The wind fields are derived from tracking features in successive images of upper-tropospheric water vapor (WV) as depicted in the 6.5-? absorption band. The upper-tropospheric relative humidity (UTH) is inferred from measured water vapor radiances with a physical retrieval scheme based on radiative forward calculations. Quantitative information on large-scale circulation patterns in the upper troposphere is possible with the dense spatial coverage of the WV wind vectors. The monthly mean wind field is used to estimate the large-scale divergence; values range between about ?5 ? 10?6 and 5 ? 10?6 sec?1 when averaged over a scale length of about 1000?2000 km, The spatial patterns of the UTH field and the divergence of the wind field closely resemble one another, suggesting that UTH patterns are principally determined by the large-scale circulation. Since the upper-tropospheric humidity absorbs upwelling radiation from lower-tropospheric levels and therefore contributes significantly to the atmospheric greenhouse effect, this work implies that studies an the climate relevance of watervapor should include three-dimensional modeling of the atmospheric dynamics. The fields of UTH and WV winds are useful parameters for a climate-monitoring system based on satellite data. The results from this 1-month analysis suggest the desirability of further GOES and Meteosat studies to characterize the changes in the upper-tropospheric moisture sources and sinks over the past decade.
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      Monthly Mean Large-Scale Analyses of Upper-Tropospheric Humidity and Wind Field Divergence Derived from Three Geostationary Satellites

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4161280
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    contributor authorSchmetz, Johannes
    contributor authorMenzel, W. Paul
    contributor authorHyden, Christopher
    contributor authorVelden, Christopher
    contributor authorWu, Xiangqian
    contributor authorNieman, Steve
    contributor authorvan de Berg, Leo
    contributor authorHolmlund, Kenneth
    contributor authorGeijo, Carlos
    date accessioned2017-06-09T14:41:34Z
    date available2017-06-09T14:41:34Z
    date copyright1995/09/01
    date issued1995
    identifier issn0003-0007
    identifier otherams-24591.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4161280
    description abstractThis paper describes the results from a collaborative study between the European Space Operations Center, the European Organization for the Exploitation of Meteorological Satellites, the National Oceanic and Atmospheric Administration, and the Cooperative Institute for meteorological Satellite Studies investigating the relationship between satellite-derived monthly mean fields of wind and humidity in the upper troposphere for March 1994. Three geostationary meteorological satellites GOES-7, Moteoset-3, and Meteosat-5 are used to cover an area from roughly 160°W to 50°E. The wind fields are derived from tracking features in successive images of upper-tropospheric water vapor (WV) as depicted in the 6.5-? absorption band. The upper-tropospheric relative humidity (UTH) is inferred from measured water vapor radiances with a physical retrieval scheme based on radiative forward calculations. Quantitative information on large-scale circulation patterns in the upper troposphere is possible with the dense spatial coverage of the WV wind vectors. The monthly mean wind field is used to estimate the large-scale divergence; values range between about ?5 ? 10?6 and 5 ? 10?6 sec?1 when averaged over a scale length of about 1000?2000 km, The spatial patterns of the UTH field and the divergence of the wind field closely resemble one another, suggesting that UTH patterns are principally determined by the large-scale circulation. Since the upper-tropospheric humidity absorbs upwelling radiation from lower-tropospheric levels and therefore contributes significantly to the atmospheric greenhouse effect, this work implies that studies an the climate relevance of watervapor should include three-dimensional modeling of the atmospheric dynamics. The fields of UTH and WV winds are useful parameters for a climate-monitoring system based on satellite data. The results from this 1-month analysis suggest the desirability of further GOES and Meteosat studies to characterize the changes in the upper-tropospheric moisture sources and sinks over the past decade.
    publisherAmerican Meteorological Society
    titleMonthly Mean Large-Scale Analyses of Upper-Tropospheric Humidity and Wind Field Divergence Derived from Three Geostationary Satellites
    typeJournal Paper
    journal volume76
    journal issue9
    journal titleBulletin of the American Meteorological Society
    identifier doi10.1175/1520-0477(1995)076<1578:MMLSAO>2.0.CO;2
    journal fristpage1578
    journal lastpage1584
    treeBulletin of the American Meteorological Society:;1995:;volume( 076 ):;issue: 009
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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