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    Comparison of Two Satellite-based Rainfall Algorithms Using Pacific Atoll Raingage Data

    Source: Journal of Applied Meteorology:;1993:;volume( 032 ):;issue: 002::page 411
    Author:
    Morrissey, Mark L.
    ,
    Scott Greene, J.
    DOI: 10.1175/1520-0450(1993)032<0411:COTSBR>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Rainfall estimates for two simple satellite-based rainfall algorithms are verified over the tropical Pacific using a new method that incorporates sparsely distributed raingages. The resulting linear regression relationship between monthly areal rainfall and the highly reflective cloud index agrees with earlier results. However, the GOES precipitation index (GPI), which was calibrated using radar rainfall data obtained from the eastern tropical Atlantic, produces biased areas rainfall estimates over most of the tropical Pacific. However, its precision is greater than the highly reflective cloud index, perhaps due to the GPI's larger spatial dimensions. With the incorporation of calibration coefficients determined in this study, the GPI will produce unbiased estimates of areal rainfall for the tropical Pacific region.
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      Comparison of Two Satellite-based Rainfall Algorithms Using Pacific Atoll Raingage Data

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4147150
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    • Journal of Applied Meteorology

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    contributor authorMorrissey, Mark L.
    contributor authorScott Greene, J.
    date accessioned2017-06-09T14:04:16Z
    date available2017-06-09T14:04:16Z
    date copyright1993/02/01
    date issued1993
    identifier issn0894-8763
    identifier otherams-11874.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4147150
    description abstractRainfall estimates for two simple satellite-based rainfall algorithms are verified over the tropical Pacific using a new method that incorporates sparsely distributed raingages. The resulting linear regression relationship between monthly areal rainfall and the highly reflective cloud index agrees with earlier results. However, the GOES precipitation index (GPI), which was calibrated using radar rainfall data obtained from the eastern tropical Atlantic, produces biased areas rainfall estimates over most of the tropical Pacific. However, its precision is greater than the highly reflective cloud index, perhaps due to the GPI's larger spatial dimensions. With the incorporation of calibration coefficients determined in this study, the GPI will produce unbiased estimates of areal rainfall for the tropical Pacific region.
    publisherAmerican Meteorological Society
    titleComparison of Two Satellite-based Rainfall Algorithms Using Pacific Atoll Raingage Data
    typeJournal Paper
    journal volume32
    journal issue2
    journal titleJournal of Applied Meteorology
    identifier doi10.1175/1520-0450(1993)032<0411:COTSBR>2.0.CO;2
    journal fristpage411
    journal lastpage425
    treeJournal of Applied Meteorology:;1993:;volume( 032 ):;issue: 002
    contenttypeFulltext
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