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    Retrieval of Monthly Rainfall Indices from Microwave Radiometric Measurements Using Probability Distribution Functions

    Source: Journal of Atmospheric and Oceanic Technology:;1991:;volume( 008 ):;issue: 001::page 118
    Author:
    Wilheit, Thomas T.
    ,
    Chang, Alfred T. C.
    ,
    Chiu, Long S.
    DOI: 10.1175/1520-0426(1991)008<0118:ROMRIF>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: An algorithm for the estimation of monthly rain totals for 5° cells over the oceans from histograms of SSM/I brightness temperatures has been developed. Them are three novel features to this algorithm. First, it uses knowledge of the form of the rainfall intensity probability density function to augment the measurements. Second, a linear combination of the 19.35 and 22.235 GHz channels has been employed to reduce the impact of variability of water vapor. Third, an objective technique has been developed to estimate the rain layer thickness from the 19.35- and 22.235-GHz brightness temperature histograms. Comparison with climatologies and the GATE radar observations suggest that the estimates are reasonable in spite of not having a beam-filling correction. By-products of the retrievals indicate that the SSM/I instrument noise level and calibration stability am quite good.
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      Retrieval of Monthly Rainfall Indices from Microwave Radiometric Measurements Using Probability Distribution Functions

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4204289
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    contributor authorWilheit, Thomas T.
    contributor authorChang, Alfred T. C.
    contributor authorChiu, Long S.
    date accessioned2017-06-09T16:12:24Z
    date available2017-06-09T16:12:24Z
    date copyright1991/02/01
    date issued1991
    identifier issn0739-0572
    identifier otherams-633.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4204289
    description abstractAn algorithm for the estimation of monthly rain totals for 5° cells over the oceans from histograms of SSM/I brightness temperatures has been developed. Them are three novel features to this algorithm. First, it uses knowledge of the form of the rainfall intensity probability density function to augment the measurements. Second, a linear combination of the 19.35 and 22.235 GHz channels has been employed to reduce the impact of variability of water vapor. Third, an objective technique has been developed to estimate the rain layer thickness from the 19.35- and 22.235-GHz brightness temperature histograms. Comparison with climatologies and the GATE radar observations suggest that the estimates are reasonable in spite of not having a beam-filling correction. By-products of the retrievals indicate that the SSM/I instrument noise level and calibration stability am quite good.
    publisherAmerican Meteorological Society
    titleRetrieval of Monthly Rainfall Indices from Microwave Radiometric Measurements Using Probability Distribution Functions
    typeJournal Paper
    journal volume8
    journal issue1
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/1520-0426(1991)008<0118:ROMRIF>2.0.CO;2
    journal fristpage118
    journal lastpage136
    treeJournal of Atmospheric and Oceanic Technology:;1991:;volume( 008 ):;issue: 001
    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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