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    Cloud-Base Height Estimation from VIIRS. Part I: Operational Algorithm Validation against CloudSat

    Source: Journal of Atmospheric and Oceanic Technology:;2017:;volume( 034 ):;issue: 003::page 567
    Author:
    Seaman, Curtis J.
    ,
    Noh, Yoo-Jeong
    ,
    Miller, Steven D.
    ,
    Heidinger, Andrew K.
    ,
    Lindsey, Daniel T.
    DOI: 10.1175/JTECH-D-16-0109.1
    Publisher: American Meteorological Society
    Abstract: he operational VIIRS cloud-base height (CBH) product from the Suomi?National Polar-Orbiting Partnership (SNPP) satellite is compared against observations of CBH from the cloud profiling radar (CPR) on board CloudSat. Because of the orbits of SNPP and CloudSat, these instruments provide nearly simultaneous observations of the same locations on Earth for a ~4.5-h period every 2?3 days. The methodology by which VIIRS and CloudSat observations are spatially and temporally matched is outlined. Based on four 1-month evaluation periods representing each season from June 2014 to April 2015, statistics related to the VIIRS CBH retrieval performance have been collected. Results indicate that when compared against CloudSat, the VIIRS CBH retrieval does not meet the error specifications set by the Joint Polar Satellite System (JPSS) program, with a root-mean-square error (RMSE) of 3.7 km for all clouds globally. More than half of all matching VIIRS pixels and CloudSat profiles have CBH errors exceeding the 2-km error requirement. Underscoring the significance of these statistics, it is shown that a simple estimate based on a constant cloud geometric thickness of 2 km outperforms the current operational CBH algorithm. It was found that the performance of the CBH product is impacted by the accuracy of upstream retrievals [primarily cloud-top height (CTH)] and the a priori information used by the CBH retrieval algorithm. However, even when CTH errors were small, CBH errors still exceed the JPSS program error specifications with an RMSE of 2.3 km.
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      Cloud-Base Height Estimation from VIIRS. Part I: Operational Algorithm Validation against CloudSat

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    contributor authorSeaman, Curtis J.
    contributor authorNoh, Yoo-Jeong
    contributor authorMiller, Steven D.
    contributor authorHeidinger, Andrew K.
    contributor authorLindsey, Daniel T.
    date accessioned2017-06-09T17:26:27Z
    date available2017-06-09T17:26:27Z
    date copyright2017/03/01
    date issued2017
    identifier issn0739-0572
    identifier otherams-85313.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4228747
    description abstracthe operational VIIRS cloud-base height (CBH) product from the Suomi?National Polar-Orbiting Partnership (SNPP) satellite is compared against observations of CBH from the cloud profiling radar (CPR) on board CloudSat. Because of the orbits of SNPP and CloudSat, these instruments provide nearly simultaneous observations of the same locations on Earth for a ~4.5-h period every 2?3 days. The methodology by which VIIRS and CloudSat observations are spatially and temporally matched is outlined. Based on four 1-month evaluation periods representing each season from June 2014 to April 2015, statistics related to the VIIRS CBH retrieval performance have been collected. Results indicate that when compared against CloudSat, the VIIRS CBH retrieval does not meet the error specifications set by the Joint Polar Satellite System (JPSS) program, with a root-mean-square error (RMSE) of 3.7 km for all clouds globally. More than half of all matching VIIRS pixels and CloudSat profiles have CBH errors exceeding the 2-km error requirement. Underscoring the significance of these statistics, it is shown that a simple estimate based on a constant cloud geometric thickness of 2 km outperforms the current operational CBH algorithm. It was found that the performance of the CBH product is impacted by the accuracy of upstream retrievals [primarily cloud-top height (CTH)] and the a priori information used by the CBH retrieval algorithm. However, even when CTH errors were small, CBH errors still exceed the JPSS program error specifications with an RMSE of 2.3 km.
    publisherAmerican Meteorological Society
    titleCloud-Base Height Estimation from VIIRS. Part I: Operational Algorithm Validation against CloudSat
    typeJournal Paper
    journal volume34
    journal issue3
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/JTECH-D-16-0109.1
    journal fristpage567
    journal lastpage583
    treeJournal of Atmospheric and Oceanic Technology:;2017:;volume( 034 ):;issue: 003
    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
    yabeshDSpacePersian