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    Global Precipitation Estimates from Cross-Track Passive Microwave Observations Using a Physically Based Retrieval Scheme

    Source: Journal of Hydrometeorology:;2015:;Volume( 017 ):;issue: 001::page 383
    Author:
    Kidd, Chris
    ,
    Matsui, Toshihisa
    ,
    Chern, Jiundar
    ,
    Mohr, Karen
    ,
    Kummerow, Chris
    ,
    Randel, Dave
    DOI: 10.1175/JHM-D-15-0051.1
    Publisher: American Meteorological Society
    Abstract: he estimation of precipitation across the globe from satellite sensors provides a key resource in the observation and understanding of our climate system. Estimates from all pertinent satellite observations are critical in providing the necessary temporal sampling. However, consistency in these estimates from instruments with different frequencies and resolutions is critical. This paper details the physically based retrieval scheme to estimate precipitation from cross-track (XT) passive microwave (PM) sensors on board the constellation satellites of the Global Precipitation Measurement (GPM) mission. Here the Goddard profiling algorithm (GPROF), a physically based Bayesian scheme developed for conically scanning (CS) sensors, is adapted for use with XT PM sensors. The present XT GPROF scheme utilizes a model-generated database to overcome issues encountered with an observational database as used by the CS scheme. The model database ensures greater consistency across meteorological regimes and surface types by providing a more comprehensive set of precipitation profiles. The database is corrected for bias against the CS database to ensure consistency in the final product. Statistical comparisons over western Europe and the United States show that the XT GPROF estimates are comparable with those from the CS scheme. Indeed, the XT estimates have higher correlations against surface radar data, while maintaining similar root-mean-square errors. Latitudinal profiles of precipitation show the XT estimates are generally comparable with the CS estimates, although in the southern midlatitudes the peak precipitation is shifted equatorward while over the Arctic large differences are seen between the XT and the CS retrievals.
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      Global Precipitation Estimates from Cross-Track Passive Microwave Observations Using a Physically Based Retrieval Scheme

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4225347
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    • Journal of Hydrometeorology

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    contributor authorKidd, Chris
    contributor authorMatsui, Toshihisa
    contributor authorChern, Jiundar
    contributor authorMohr, Karen
    contributor authorKummerow, Chris
    contributor authorRandel, Dave
    date accessioned2017-06-09T17:16:33Z
    date available2017-06-09T17:16:33Z
    date copyright2016/01/01
    date issued2015
    identifier issn1525-755X
    identifier otherams-82253.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4225347
    description abstracthe estimation of precipitation across the globe from satellite sensors provides a key resource in the observation and understanding of our climate system. Estimates from all pertinent satellite observations are critical in providing the necessary temporal sampling. However, consistency in these estimates from instruments with different frequencies and resolutions is critical. This paper details the physically based retrieval scheme to estimate precipitation from cross-track (XT) passive microwave (PM) sensors on board the constellation satellites of the Global Precipitation Measurement (GPM) mission. Here the Goddard profiling algorithm (GPROF), a physically based Bayesian scheme developed for conically scanning (CS) sensors, is adapted for use with XT PM sensors. The present XT GPROF scheme utilizes a model-generated database to overcome issues encountered with an observational database as used by the CS scheme. The model database ensures greater consistency across meteorological regimes and surface types by providing a more comprehensive set of precipitation profiles. The database is corrected for bias against the CS database to ensure consistency in the final product. Statistical comparisons over western Europe and the United States show that the XT GPROF estimates are comparable with those from the CS scheme. Indeed, the XT estimates have higher correlations against surface radar data, while maintaining similar root-mean-square errors. Latitudinal profiles of precipitation show the XT estimates are generally comparable with the CS estimates, although in the southern midlatitudes the peak precipitation is shifted equatorward while over the Arctic large differences are seen between the XT and the CS retrievals.
    publisherAmerican Meteorological Society
    titleGlobal Precipitation Estimates from Cross-Track Passive Microwave Observations Using a Physically Based Retrieval Scheme
    typeJournal Paper
    journal volume17
    journal issue1
    journal titleJournal of Hydrometeorology
    identifier doi10.1175/JHM-D-15-0051.1
    journal fristpage383
    journal lastpage400
    treeJournal of Hydrometeorology:;2015:;Volume( 017 ):;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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