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    Evaluation of the High-Resolution CMORPH Satellite Rainfall Product Using Dense Rain Gauge Observations and Radar-Based Estimates

    Source: Journal of Hydrometeorology:;2012:;Volume( 013 ):;issue: 006::page 1784
    Author:
    Habib, Emad
    ,
    Haile, Alemseged Tamiru
    ,
    Tian, Yudong
    ,
    Joyce, Robert J.
    DOI: 10.1175/JHM-D-12-017.1
    Publisher: American Meteorological Society
    Abstract: his study focuses on the evaluation of the NOAA?NCEP Climate Prediction Center (CPC) morphing technique (CMORPH) satellite-based rainfall product at fine space?time resolutions (1 h and 8 km). The evaluation was conducted during a 28-month period from 2004 to 2006 using a high-quality experimental rain gauge network in southern Louisiana, United States. The dense arrangement of rain gauges allowed for multiple gauges to be located within a single CMORPH pixel and provided a relatively reliable approximation of pixel-average surface rainfall. The results suggest that the CMORPH product has high detection skills: the probability of successful detection is ~80% for surface rain rates >2 mm h?1 and probability of false detection <3%. However, significant and alarming missed-rain and false-rain volumes of 21% and 22%, respectively, were reported. The CMORPH product has a negligible bias when assessed for the entire study period. On an event scale it has significant biases that exceed 100%. The fine-resolution CMORPH estimates have high levels of random errors; however, these errors get reduced rapidly when the estimates are aggregated in time or space. To provide insight into future improvements, the study examines the effect of temporal availability of passive microwave rainfall estimates on the product accuracy. The study also investigates the implications of using a radar-based rainfall product as an evaluation surface reference dataset instead of gauge observations. The findings reported in this study guide future enhancements of rainfall products and increase their informed usage in a variety of research and operational applications.
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      Evaluation of the High-Resolution CMORPH Satellite Rainfall Product Using Dense Rain Gauge Observations and Radar-Based Estimates

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4224877
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    contributor authorHabib, Emad
    contributor authorHaile, Alemseged Tamiru
    contributor authorTian, Yudong
    contributor authorJoyce, Robert J.
    date accessioned2017-06-09T17:15:01Z
    date available2017-06-09T17:15:01Z
    date copyright2012/12/01
    date issued2012
    identifier issn1525-755X
    identifier otherams-81831.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4224877
    description abstracthis study focuses on the evaluation of the NOAA?NCEP Climate Prediction Center (CPC) morphing technique (CMORPH) satellite-based rainfall product at fine space?time resolutions (1 h and 8 km). The evaluation was conducted during a 28-month period from 2004 to 2006 using a high-quality experimental rain gauge network in southern Louisiana, United States. The dense arrangement of rain gauges allowed for multiple gauges to be located within a single CMORPH pixel and provided a relatively reliable approximation of pixel-average surface rainfall. The results suggest that the CMORPH product has high detection skills: the probability of successful detection is ~80% for surface rain rates >2 mm h?1 and probability of false detection <3%. However, significant and alarming missed-rain and false-rain volumes of 21% and 22%, respectively, were reported. The CMORPH product has a negligible bias when assessed for the entire study period. On an event scale it has significant biases that exceed 100%. The fine-resolution CMORPH estimates have high levels of random errors; however, these errors get reduced rapidly when the estimates are aggregated in time or space. To provide insight into future improvements, the study examines the effect of temporal availability of passive microwave rainfall estimates on the product accuracy. The study also investigates the implications of using a radar-based rainfall product as an evaluation surface reference dataset instead of gauge observations. The findings reported in this study guide future enhancements of rainfall products and increase their informed usage in a variety of research and operational applications.
    publisherAmerican Meteorological Society
    titleEvaluation of the High-Resolution CMORPH Satellite Rainfall Product Using Dense Rain Gauge Observations and Radar-Based Estimates
    typeJournal Paper
    journal volume13
    journal issue6
    journal titleJournal of Hydrometeorology
    identifier doi10.1175/JHM-D-12-017.1
    journal fristpage1784
    journal lastpage1798
    treeJournal of Hydrometeorology:;2012:;Volume( 013 ):;issue: 006
    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