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    The Distribution of Rainfall over Oceans from Spaceborne Radars

    Source: Journal of Applied Meteorology and Climatology:;2009:;volume( 049 ):;issue: 003::page 535
    Author:
    Berg, Wesley
    ,
    L’Ecuyer, Tristan
    ,
    Haynes, John M.
    DOI: 10.1175/2009JAMC2330.1
    Publisher: American Meteorological Society
    Abstract: A combination of rainfall estimates from the 13.8-GHz Tropical Rainfall Measuring Mission (TRMM) precipitation radar (PR) and the 94-GHz CloudSat Cloud Profiling Radar (CPR) is used to assess the distribution of rainfall intensity over tropical and subtropical oceans. These two spaceborne radars provide highly complementary information: the PR provides the best information on the total rain volume because of its ability to estimate the intensity of all but the lightest rain rates while the CPR?s higher sensitivity provides superior rainfall detection as well as estimates of drizzle and light rain. Over the TRMM region between 35°S and 35°N, rainfall frequency from the CPR is around 9%, approximately 2.5 times that detected by the PR, and the CPR estimates indicate a contribution by light rain that is undetected by the PR of around 10% of the total. Stratifying the results by total precipitable water (TPW) as a proxy for rainfall regime indicates dramatic differences over stratus-dominated subsidence regions, with nearly 20% of the total rain occurring as light rain. Over moist tropical regions, the CPR substantially underestimates rain from intense convective storms because of large attenuation and multiple-scattering effects while the PR misses very little of the total rain volume because of a lower relative contribution from light rain. Over low-TPW regions, however, inconsistencies between estimates from the PR and the CPR point to uncertainties in the algorithm assumptions that remain to be understood and addressed.
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      The Distribution of Rainfall over Oceans from Spaceborne Radars

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4209934
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    contributor authorBerg, Wesley
    contributor authorL’Ecuyer, Tristan
    contributor authorHaynes, John M.
    date accessioned2017-06-09T16:28:03Z
    date available2017-06-09T16:28:03Z
    date copyright2010/03/01
    date issued2009
    identifier issn1558-8424
    identifier otherams-68382.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4209934
    description abstractA combination of rainfall estimates from the 13.8-GHz Tropical Rainfall Measuring Mission (TRMM) precipitation radar (PR) and the 94-GHz CloudSat Cloud Profiling Radar (CPR) is used to assess the distribution of rainfall intensity over tropical and subtropical oceans. These two spaceborne radars provide highly complementary information: the PR provides the best information on the total rain volume because of its ability to estimate the intensity of all but the lightest rain rates while the CPR?s higher sensitivity provides superior rainfall detection as well as estimates of drizzle and light rain. Over the TRMM region between 35°S and 35°N, rainfall frequency from the CPR is around 9%, approximately 2.5 times that detected by the PR, and the CPR estimates indicate a contribution by light rain that is undetected by the PR of around 10% of the total. Stratifying the results by total precipitable water (TPW) as a proxy for rainfall regime indicates dramatic differences over stratus-dominated subsidence regions, with nearly 20% of the total rain occurring as light rain. Over moist tropical regions, the CPR substantially underestimates rain from intense convective storms because of large attenuation and multiple-scattering effects while the PR misses very little of the total rain volume because of a lower relative contribution from light rain. Over low-TPW regions, however, inconsistencies between estimates from the PR and the CPR point to uncertainties in the algorithm assumptions that remain to be understood and addressed.
    publisherAmerican Meteorological Society
    titleThe Distribution of Rainfall over Oceans from Spaceborne Radars
    typeJournal Paper
    journal volume49
    journal issue3
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/2009JAMC2330.1
    journal fristpage535
    journal lastpage543
    treeJournal of Applied Meteorology and Climatology:;2009:;volume( 049 ):;issue: 003
    contenttypeFulltext
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