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    Rain Retrieval from TMI Brightness Temperature Measurements Using a TRMM PR–Based Database

    Source: Journal of Applied Meteorology and Climatology:;2006:;volume( 045 ):;issue: 003::page 455
    Author:
    Viltard, Nicolas
    ,
    Burlaud, Corinne
    ,
    Kummerow, Christian D.
    DOI: 10.1175/JAM2346.1
    Publisher: American Meteorological Society
    Abstract: This study focuses on improving the retrieval of rain from measured microwave brightness temperatures and the capability of the retrieved field to represent the mesoscale structure of a small intense hurricane. For this study, a database is constructed from collocated Tropical Rainfall Measuring Mission (TRMM) precipitation radar (PR) and the TRMM Microwave Imager (TMI) data resulting in about 50 000 brightness temperature vectors associated with their corresponding rain-rate profiles. The database is then divided in two: a retrieval database of about 35 000 rain profiles and a test database of about 25 000 rain profiles. Although in principle this approach is used to build a database over both land and ocean, the results presented here are only given for ocean surfaces, for which the conditions for the retrieval are optimal. An algorithm is built using the retrieval database. This algorithm is then used on the test database, and results show that the error can be constrained to reasonable levels for most of the observed rain ranges. The relative error is nonetheless sensitive to the rain rate, with maximum errors at the low and high ends of the rain intensities (+60% and ?30%, respectively) and a minimum error between 1 and 7 mm h?1. The retrieval method is optimized to exhibit a low total bias for climatological purposes and thus shows a high standard deviation on point-to-point comparisons. The algorithm is applied to the case of Hurricane Bret (1999). The retrieved rain field is analyzed in terms of structure and intensity and is then compared with the TRMM PR original rain field. The results show that the mesoscale structures are indeed well reproduced even if the retrieved rain misses the highest peaks of precipitation. Nevertheless, the mesoscale asymmetries are well reproduced and the maximum rain is found in the correct quadrant. Once again, the total bias is low, which allows for future calculation of the heat sources/sinks associated with precipitation production and evaporation.
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      Rain Retrieval from TMI Brightness Temperature Measurements Using a TRMM PR–Based Database

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4216486
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    • Journal of Applied Meteorology and Climatology

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    contributor authorViltard, Nicolas
    contributor authorBurlaud, Corinne
    contributor authorKummerow, Christian D.
    date accessioned2017-06-09T16:47:47Z
    date available2017-06-09T16:47:47Z
    date copyright2006/03/01
    date issued2006
    identifier issn1558-8424
    identifier otherams-74279.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4216486
    description abstractThis study focuses on improving the retrieval of rain from measured microwave brightness temperatures and the capability of the retrieved field to represent the mesoscale structure of a small intense hurricane. For this study, a database is constructed from collocated Tropical Rainfall Measuring Mission (TRMM) precipitation radar (PR) and the TRMM Microwave Imager (TMI) data resulting in about 50 000 brightness temperature vectors associated with their corresponding rain-rate profiles. The database is then divided in two: a retrieval database of about 35 000 rain profiles and a test database of about 25 000 rain profiles. Although in principle this approach is used to build a database over both land and ocean, the results presented here are only given for ocean surfaces, for which the conditions for the retrieval are optimal. An algorithm is built using the retrieval database. This algorithm is then used on the test database, and results show that the error can be constrained to reasonable levels for most of the observed rain ranges. The relative error is nonetheless sensitive to the rain rate, with maximum errors at the low and high ends of the rain intensities (+60% and ?30%, respectively) and a minimum error between 1 and 7 mm h?1. The retrieval method is optimized to exhibit a low total bias for climatological purposes and thus shows a high standard deviation on point-to-point comparisons. The algorithm is applied to the case of Hurricane Bret (1999). The retrieved rain field is analyzed in terms of structure and intensity and is then compared with the TRMM PR original rain field. The results show that the mesoscale structures are indeed well reproduced even if the retrieved rain misses the highest peaks of precipitation. Nevertheless, the mesoscale asymmetries are well reproduced and the maximum rain is found in the correct quadrant. Once again, the total bias is low, which allows for future calculation of the heat sources/sinks associated with precipitation production and evaporation.
    publisherAmerican Meteorological Society
    titleRain Retrieval from TMI Brightness Temperature Measurements Using a TRMM PR–Based Database
    typeJournal Paper
    journal volume45
    journal issue3
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/JAM2346.1
    journal fristpage455
    journal lastpage466
    treeJournal of Applied Meteorology and Climatology:;2006:;volume( 045 ):;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