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    A Comparative Assessment of Surface Wind Speed and Sea Surface Temperature over the Indian Ocean by TMI, MSMR, and ERA-40

    Source: Journal of Atmospheric and Oceanic Technology:;2007:;volume( 024 ):;issue: 006::page 1131
    Author:
    Parekh, Anant
    ,
    Sharma, Rashmi
    ,
    Sarkar, Abhijit
    DOI: 10.1175/JTECH2021.1
    Publisher: American Meteorological Society
    Abstract: A 2-yr (June 1999?June 2001) observation of ocean surface wind speed (SWS) and sea surface temperature (SST) derived from microwave radiometer measurements made by a multifrequency scanning microwave radiometer (MSMR) and the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) is compared with direct measurements by Indian Ocean buoys. Also, for the first time SWS and SST values of the same period obtained from 40-yr ECMWF Re-Analysis (ERA-40) have been evaluated with these buoy observations. The SWS and SST are shown to have standard deviations of 1.77 m s?1 and 0.60 K for TMI, 2.30 m s?1 and 2.0 K for MSMR, and 2.59 m s?1 and 0.68 K for ERA-40, respectively. Despite the fact that MSMR has a lower-frequency channel, larger values of bias and standard deviation (STD) are found compared to those of TMI. The performance of SST retrieval during the daytime is found to be better than that at nighttime. The analysis carried out for different seasons has raised an important question as to why one spaceborne instrument (TMI) yields retrievals with similar biases during both pre- and postmonsoon periods and the other (MSMR) yields drastically different results. The large bias at low wind speeds is believed to be due to the poorer sensitivity of microwave emissivity variations at low wind speeds. The extreme SWS case study (cyclonic condition) showed that satellite-retrieved SWS captured the trend and absolute magnitudes as reflected by in situ observations, while the model (ERA-40) failed to do so. This result has direct implications on the real-time application of satellite winds in monitoring extreme weather events.
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      A Comparative Assessment of Surface Wind Speed and Sea Surface Temperature over the Indian Ocean by TMI, MSMR, and ERA-40

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4227738
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    • Journal of Atmospheric and Oceanic Technology

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    contributor authorParekh, Anant
    contributor authorSharma, Rashmi
    contributor authorSarkar, Abhijit
    date accessioned2017-06-09T17:23:35Z
    date available2017-06-09T17:23:35Z
    date copyright2007/06/01
    date issued2007
    identifier issn0739-0572
    identifier otherams-84405.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4227738
    description abstractA 2-yr (June 1999?June 2001) observation of ocean surface wind speed (SWS) and sea surface temperature (SST) derived from microwave radiometer measurements made by a multifrequency scanning microwave radiometer (MSMR) and the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) is compared with direct measurements by Indian Ocean buoys. Also, for the first time SWS and SST values of the same period obtained from 40-yr ECMWF Re-Analysis (ERA-40) have been evaluated with these buoy observations. The SWS and SST are shown to have standard deviations of 1.77 m s?1 and 0.60 K for TMI, 2.30 m s?1 and 2.0 K for MSMR, and 2.59 m s?1 and 0.68 K for ERA-40, respectively. Despite the fact that MSMR has a lower-frequency channel, larger values of bias and standard deviation (STD) are found compared to those of TMI. The performance of SST retrieval during the daytime is found to be better than that at nighttime. The analysis carried out for different seasons has raised an important question as to why one spaceborne instrument (TMI) yields retrievals with similar biases during both pre- and postmonsoon periods and the other (MSMR) yields drastically different results. The large bias at low wind speeds is believed to be due to the poorer sensitivity of microwave emissivity variations at low wind speeds. The extreme SWS case study (cyclonic condition) showed that satellite-retrieved SWS captured the trend and absolute magnitudes as reflected by in situ observations, while the model (ERA-40) failed to do so. This result has direct implications on the real-time application of satellite winds in monitoring extreme weather events.
    publisherAmerican Meteorological Society
    titleA Comparative Assessment of Surface Wind Speed and Sea Surface Temperature over the Indian Ocean by TMI, MSMR, and ERA-40
    typeJournal Paper
    journal volume24
    journal issue6
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/JTECH2021.1
    journal fristpage1131
    journal lastpage1142
    treeJournal of Atmospheric and Oceanic Technology:;2007:;volume( 024 ):;issue: 006
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian