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    Object-Based Analysis of Satellite-Derived Precipitation Systems over the Low- and Midlatitude Pacific Ocean

    Source: Monthly Weather Review:;2009:;volume( 137 ):;issue: 010::page 3196
    Author:
    Skok, Gregor
    ,
    Tribbia, Joe
    ,
    Rakovec, Jože
    ,
    Brown, Barbara
    DOI: 10.1175/2009MWR2900.1
    Publisher: American Meteorological Society
    Abstract: The Method for Object-based Diagnostic Evaluation (MODE) developed by Davis et al. is implemented and extended to characterize the temporal behavior of objects and to perform a diagnostic analysis on the spatial distribution and properties of precipitation systems over the equatorial Pacific Ocean. The analysis is performed on two satellite-derived datasets [Tropical Rainfall Measuring Mission (TRMM) 3B42 and Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN)]. A sensitivity analysis showed that temporal convolution produces an unwanted ?spillover? effect and that a large spatial convolution radius produces too much smoothing, which results in unrealistically large objects. The analysis showed that the largest and most long-lived precipitation systems in the tropical Pacific are typically located in the western part. A good ability to track precipitation systems in the tropical Pacific was demonstrated: movement of precipitation systems in the ITCZ is both westward and eastward although westward movement is more frequent and in the eastern part of the Pacific ITCZ the westward movement is dominant. Movement of systems in the midlatitudes was predominantly eastward. These findings were common to both satellite products, despite the fact that the average rainfall accumulation can differ by 20%?30% and the occurrence of systems with long life spans can differ by 20%.
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      Object-Based Analysis of Satellite-Derived Precipitation Systems over the Low- and Midlatitude Pacific Ocean

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4211229
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    • Monthly Weather Review

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    contributor authorSkok, Gregor
    contributor authorTribbia, Joe
    contributor authorRakovec, Jože
    contributor authorBrown, Barbara
    date accessioned2017-06-09T16:32:03Z
    date available2017-06-09T16:32:03Z
    date copyright2009/10/01
    date issued2009
    identifier issn0027-0644
    identifier otherams-69548.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4211229
    description abstractThe Method for Object-based Diagnostic Evaluation (MODE) developed by Davis et al. is implemented and extended to characterize the temporal behavior of objects and to perform a diagnostic analysis on the spatial distribution and properties of precipitation systems over the equatorial Pacific Ocean. The analysis is performed on two satellite-derived datasets [Tropical Rainfall Measuring Mission (TRMM) 3B42 and Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN)]. A sensitivity analysis showed that temporal convolution produces an unwanted ?spillover? effect and that a large spatial convolution radius produces too much smoothing, which results in unrealistically large objects. The analysis showed that the largest and most long-lived precipitation systems in the tropical Pacific are typically located in the western part. A good ability to track precipitation systems in the tropical Pacific was demonstrated: movement of precipitation systems in the ITCZ is both westward and eastward although westward movement is more frequent and in the eastern part of the Pacific ITCZ the westward movement is dominant. Movement of systems in the midlatitudes was predominantly eastward. These findings were common to both satellite products, despite the fact that the average rainfall accumulation can differ by 20%?30% and the occurrence of systems with long life spans can differ by 20%.
    publisherAmerican Meteorological Society
    titleObject-Based Analysis of Satellite-Derived Precipitation Systems over the Low- and Midlatitude Pacific Ocean
    typeJournal Paper
    journal volume137
    journal issue10
    journal titleMonthly Weather Review
    identifier doi10.1175/2009MWR2900.1
    journal fristpage3196
    journal lastpage3218
    treeMonthly Weather Review:;2009:;volume( 137 ):;issue: 010
    contenttypeFulltext
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