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    A Statistical Technique for Determining Rainfall over Land Employing Nimbus 6 ESMR Measurements

    Source: Journal of Applied Meteorology:;1979:;volume( 018 ):;issue: 008::page 978
    Author:
    Rodgers, Edward
    ,
    Siddalingaiah, Honnappa
    ,
    Chang, A. T. C.
    ,
    Wilheit, Thomas
    DOI: 10.1175/1520-0450(1979)018<0978:ASTFDR>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: At 37 GHz, the frequency at which the Nimbus 6 Electrically Scanning Microwave Radiometer (ESMR 6) measures upwelling radiance, it has been shown theoretically that the atmospheric scattering and the relative independence on electromagnetic polarization of the radiances emerging from hydrometeors make it possible to monitor remotely active rainfall over land. In order to verify experimentally these theoretical findings and to develop an algorithm to monitor rainfall over land, the digitized ESMR 6 measurements were examined statistically. Horizontally and vertically polarized brightness temperature pairs (TH,TV) from ESMR 6 were sampled for areas of rainfall over land as determined from the rain recording stations and the WSR 57 radar, and areas of wet and dry ground (whose thermodynamic temperatures were greater than 5°C) over the southeastern United States. These three categories of brightness temperatures were found to be significantly different in the sense that the chances that the mean vectors of any two populations coincided were less than 1 in 100. Since these categories were significantly different, classification algorithms were then developed. Three decision rules were examined: the Fisher linear classifier, the Bayesian quadratic classifier, and a non-parametric linear classifier. The Bayesian algorithm was found to perform best, particularly at a higher confidence level. An independent test case analysis showed that a rainfall area delineated by the Bayesian classifier coincided well with the synoptic-scale rainfall area mapped by ground recording rain data and radar echoes.
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      A Statistical Technique for Determining Rainfall over Land Employing Nimbus 6 ESMR Measurements

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    contributor authorRodgers, Edward
    contributor authorSiddalingaiah, Honnappa
    contributor authorChang, A. T. C.
    contributor authorWilheit, Thomas
    date accessioned2017-06-09T17:40:07Z
    date available2017-06-09T17:40:07Z
    date copyright1979/08/01
    date issued1979
    identifier issn0021-8952
    identifier otherams-9741.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4233263
    description abstractAt 37 GHz, the frequency at which the Nimbus 6 Electrically Scanning Microwave Radiometer (ESMR 6) measures upwelling radiance, it has been shown theoretically that the atmospheric scattering and the relative independence on electromagnetic polarization of the radiances emerging from hydrometeors make it possible to monitor remotely active rainfall over land. In order to verify experimentally these theoretical findings and to develop an algorithm to monitor rainfall over land, the digitized ESMR 6 measurements were examined statistically. Horizontally and vertically polarized brightness temperature pairs (TH,TV) from ESMR 6 were sampled for areas of rainfall over land as determined from the rain recording stations and the WSR 57 radar, and areas of wet and dry ground (whose thermodynamic temperatures were greater than 5°C) over the southeastern United States. These three categories of brightness temperatures were found to be significantly different in the sense that the chances that the mean vectors of any two populations coincided were less than 1 in 100. Since these categories were significantly different, classification algorithms were then developed. Three decision rules were examined: the Fisher linear classifier, the Bayesian quadratic classifier, and a non-parametric linear classifier. The Bayesian algorithm was found to perform best, particularly at a higher confidence level. An independent test case analysis showed that a rainfall area delineated by the Bayesian classifier coincided well with the synoptic-scale rainfall area mapped by ground recording rain data and radar echoes.
    publisherAmerican Meteorological Society
    titleA Statistical Technique for Determining Rainfall over Land Employing Nimbus 6 ESMR Measurements
    typeJournal Paper
    journal volume18
    journal issue8
    journal titleJournal of Applied Meteorology
    identifier doi10.1175/1520-0450(1979)018<0978:ASTFDR>2.0.CO;2
    journal fristpage978
    journal lastpage991
    treeJournal of Applied Meteorology:;1979:;volume( 018 ):;issue: 008
    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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