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    WRF with Water Vapor Tracers: A Study of Moisture Sources for the North American Monsoon

    Source: Journal of Hydrometeorology:;2016:;Volume( 017 ):;issue: 007::page 1915
    Author:
    Dominguez, Francina
    ,
    Miguez-Macho, Gonzalo
    ,
    Hu, Huancui
    DOI: 10.1175/JHM-D-15-0221.1
    Publisher: American Meteorological Society
    Abstract: he regional atmospheric Weather Research and Forecasting (WRF) Model with water vapor tracer diagnostics (WRF-WVT) is used to quantify the water vapor from different oceanic and terrestrial regions that contribute to precipitation during the North American monsoon (NAM) season. The 10-yr (2004?13) June?October simulations with 20-km horizontal resolution were driven by North American Regional Reanalysis data. Results show that lower-level moisture comes predominantly from the Gulf of California and is the most important source of precipitation. Upper-level (above 800 mb) southeasterly moisture originates from the Gulf of Mexico and Sierra Madre Occidental to the east. Moisture from within the NAM region (local recycling) is the second-most important precipitation source, as the local atmospheric moisture is very efficiently converted into precipitation. However, WRF-WVT overestimates precipitation and evapotranspiration in the NAM region, particularly over the mountainous terrain. Direct comparisons with moisture source analysis using the extended dynamic recycling model (DRM) reveal that the simple model fails to correctly backtrack moisture in this region of strong vertical wind shear. Furthermore, the assumption of a well-mixed atmosphere causes the simple model to significantly underestimate local recycling. However, the direct comparison with WRF-WVT can be used to guide future DRM improvements.
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      WRF with Water Vapor Tracers: A Study of Moisture Sources for the North American Monsoon

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4225465
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    • Journal of Hydrometeorology

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    contributor authorDominguez, Francina
    contributor authorMiguez-Macho, Gonzalo
    contributor authorHu, Huancui
    date accessioned2017-06-09T17:16:58Z
    date available2017-06-09T17:16:58Z
    date copyright2016/07/01
    date issued2016
    identifier issn1525-755X
    identifier otherams-82360.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4225465
    description abstracthe regional atmospheric Weather Research and Forecasting (WRF) Model with water vapor tracer diagnostics (WRF-WVT) is used to quantify the water vapor from different oceanic and terrestrial regions that contribute to precipitation during the North American monsoon (NAM) season. The 10-yr (2004?13) June?October simulations with 20-km horizontal resolution were driven by North American Regional Reanalysis data. Results show that lower-level moisture comes predominantly from the Gulf of California and is the most important source of precipitation. Upper-level (above 800 mb) southeasterly moisture originates from the Gulf of Mexico and Sierra Madre Occidental to the east. Moisture from within the NAM region (local recycling) is the second-most important precipitation source, as the local atmospheric moisture is very efficiently converted into precipitation. However, WRF-WVT overestimates precipitation and evapotranspiration in the NAM region, particularly over the mountainous terrain. Direct comparisons with moisture source analysis using the extended dynamic recycling model (DRM) reveal that the simple model fails to correctly backtrack moisture in this region of strong vertical wind shear. Furthermore, the assumption of a well-mixed atmosphere causes the simple model to significantly underestimate local recycling. However, the direct comparison with WRF-WVT can be used to guide future DRM improvements.
    publisherAmerican Meteorological Society
    titleWRF with Water Vapor Tracers: A Study of Moisture Sources for the North American Monsoon
    typeJournal Paper
    journal volume17
    journal issue7
    journal titleJournal of Hydrometeorology
    identifier doi10.1175/JHM-D-15-0221.1
    journal fristpage1915
    journal lastpage1927
    treeJournal of Hydrometeorology:;2016:;Volume( 017 ):;issue: 007
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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