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    The Regional Water Cycle and Heavy Spring Rainfall in Iowa: Observational and Modeling Analyses from the IFloodS Campaign

    Source: Journal of Hydrometeorology:;2016:;Volume( 017 ):;issue: 011::page 2763
    Author:
    Ryu, Young-Hee
    ,
    Smith, James A.
    ,
    Baeck, Mary Lynn
    ,
    Cunha, Luciana K.
    ,
    Bou-Zeid, Elie
    ,
    Krajewski, Witold
    DOI: 10.1175/JHM-D-15-0174.1
    Publisher: American Meteorological Society
    Abstract: he regional water cycle is examined with a special focus on water vapor transport in Iowa during the Iowa Flood Studies (IFloodS) campaign period, April?June 2013. The period had exceptionally large rainfall accumulations, and rainfall was distributed over an unusually large number of storm days. Radar-derived rainfall fields covering the 200 000 km2 study region; precipitable water from a network of global positioning system (GPS) measurements; and vertically integrated water vapor flux derived from GPS precipitable water, radar velocity?azimuth display (VAD) wind profiles, and radiosonde humidity profiles are utilized. They show that heavy rainfall is relatively weakly correlated with precipitable water and precipitable water change, with somewhat stronger direct relationships to water vapor flux. Thermodynamic properties tied to the vertical distribution of water vapor play an important role in determining heavy rainfall distribution, especially for periods of strong southerly water vapor flux. The diurnal variation of the water cycle during the IFloodS field campaign is pronounced, especially for rainfall and water vapor flux. To examine the potential effects of relative humidity in the lower atmosphere on heavy rainfall, numerical simulations are performed. It is found that low-level moisture can greatly affect heavy rainfall amount under favorable large-scale environmental conditions.
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      The Regional Water Cycle and Heavy Spring Rainfall in Iowa: Observational and Modeling Analyses from the IFloodS Campaign

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4225433
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    contributor authorRyu, Young-Hee
    contributor authorSmith, James A.
    contributor authorBaeck, Mary Lynn
    contributor authorCunha, Luciana K.
    contributor authorBou-Zeid, Elie
    contributor authorKrajewski, Witold
    date accessioned2017-06-09T17:16:51Z
    date available2017-06-09T17:16:51Z
    date copyright2016/11/01
    date issued2016
    identifier issn1525-755X
    identifier otherams-82331.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4225433
    description abstracthe regional water cycle is examined with a special focus on water vapor transport in Iowa during the Iowa Flood Studies (IFloodS) campaign period, April?June 2013. The period had exceptionally large rainfall accumulations, and rainfall was distributed over an unusually large number of storm days. Radar-derived rainfall fields covering the 200 000 km2 study region; precipitable water from a network of global positioning system (GPS) measurements; and vertically integrated water vapor flux derived from GPS precipitable water, radar velocity?azimuth display (VAD) wind profiles, and radiosonde humidity profiles are utilized. They show that heavy rainfall is relatively weakly correlated with precipitable water and precipitable water change, with somewhat stronger direct relationships to water vapor flux. Thermodynamic properties tied to the vertical distribution of water vapor play an important role in determining heavy rainfall distribution, especially for periods of strong southerly water vapor flux. The diurnal variation of the water cycle during the IFloodS field campaign is pronounced, especially for rainfall and water vapor flux. To examine the potential effects of relative humidity in the lower atmosphere on heavy rainfall, numerical simulations are performed. It is found that low-level moisture can greatly affect heavy rainfall amount under favorable large-scale environmental conditions.
    publisherAmerican Meteorological Society
    titleThe Regional Water Cycle and Heavy Spring Rainfall in Iowa: Observational and Modeling Analyses from the IFloodS Campaign
    typeJournal Paper
    journal volume17
    journal issue11
    journal titleJournal of Hydrometeorology
    identifier doi10.1175/JHM-D-15-0174.1
    journal fristpage2763
    journal lastpage2784
    treeJournal of Hydrometeorology:;2016:;Volume( 017 ):;issue: 011
    contenttypeFulltext
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