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    The Precipitation Characteristics of ISCCP Tropical Weather States

    Source: Journal of Climate:;2012:;volume( 026 ):;issue: 003::page 772
    Author:
    Lee, Dongmin
    ,
    Oreopoulos, Lazaros
    ,
    Huffman, George J.
    ,
    Rossow, William B.
    ,
    Kang, In-Sik
    DOI: 10.1175/JCLI-D-11-00718.1
    Publisher: American Meteorological Society
    Abstract: he authors examine the daytime precipitation characteristics of the International Satellite Cloud Climatology Project (ISCCP) weather states in the extended tropics (35°S?35°N) for a 10-yr period. The main precipitation dataset used is the Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis operational product 3B42 dataset, but Global Precipitation Climatology Project daily data are also used for comparison. It is found that the most convectively active ISCCP weather state (WS1), despite an occurrence frequency below 10%, is the most dominant state with regard to surface precipitation, producing both the largest mean precipitation rates when present and the largest percent contribution to the total precipitation of the tropics; yet, even this weather state appears to not precipitate about half the time, although this may be to some extent an artifact of detection and spatiotemporal matching limitations of the precipitation dataset. WS1 exhibits a modest annual cycle of the domain-average precipitation rate, but notable seasonal shifts in its geographic distribution. The precipitation rates of the other weather states appear to be stronger when occurring before or after WS1. The precipitation rates of the various weather states are different between ocean and land, with WS1 producing higher daytime rates on average over ocean than land, likely because of the larger size and more persistent nature of oceanic WS1s. The results of this study, in addition to advancing the understanding of tropical hydrology, can serve as higher-order diagnostics for evaluating the realism of tropical precipitation distributions in large-scale models.
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      The Precipitation Characteristics of ISCCP Tropical Weather States

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    contributor authorLee, Dongmin
    contributor authorOreopoulos, Lazaros
    contributor authorHuffman, George J.
    contributor authorRossow, William B.
    contributor authorKang, In-Sik
    date accessioned2017-06-09T17:05:47Z
    date available2017-06-09T17:05:47Z
    date copyright2013/02/01
    date issued2012
    identifier issn0894-8755
    identifier otherams-79321.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4222088
    description abstracthe authors examine the daytime precipitation characteristics of the International Satellite Cloud Climatology Project (ISCCP) weather states in the extended tropics (35°S?35°N) for a 10-yr period. The main precipitation dataset used is the Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis operational product 3B42 dataset, but Global Precipitation Climatology Project daily data are also used for comparison. It is found that the most convectively active ISCCP weather state (WS1), despite an occurrence frequency below 10%, is the most dominant state with regard to surface precipitation, producing both the largest mean precipitation rates when present and the largest percent contribution to the total precipitation of the tropics; yet, even this weather state appears to not precipitate about half the time, although this may be to some extent an artifact of detection and spatiotemporal matching limitations of the precipitation dataset. WS1 exhibits a modest annual cycle of the domain-average precipitation rate, but notable seasonal shifts in its geographic distribution. The precipitation rates of the other weather states appear to be stronger when occurring before or after WS1. The precipitation rates of the various weather states are different between ocean and land, with WS1 producing higher daytime rates on average over ocean than land, likely because of the larger size and more persistent nature of oceanic WS1s. The results of this study, in addition to advancing the understanding of tropical hydrology, can serve as higher-order diagnostics for evaluating the realism of tropical precipitation distributions in large-scale models.
    publisherAmerican Meteorological Society
    titleThe Precipitation Characteristics of ISCCP Tropical Weather States
    typeJournal Paper
    journal volume26
    journal issue3
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-11-00718.1
    journal fristpage772
    journal lastpage788
    treeJournal of Climate:;2012:;volume( 026 ):;issue: 003
    contenttypeFulltext
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