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    Errors and Uncertainties in Microwave Link Rainfall Estimation Explored Using Drop Size Measurements and High-Resolution Radar Data

    Source: Journal of Hydrometeorology:;2010:;Volume( 011 ):;issue: 006::page 1330
    Author:
    Leijnse, Hidde
    ,
    Uijlenhoet, Remko
    ,
    Berne, Alexis
    DOI: 10.1175/2010JHM1243.1
    Publisher: American Meteorological Society
    Abstract: Microwave links can be used for the estimation of path-averaged rainfall by using either the path-integrated attenuation or the difference in attenuation of two signals with different frequencies and/or polarizations. Link signals have been simulated using measured time series of raindrop size distributions (DSDs) over a period of nearly 2 yr, in combination with wind velocity data and Taylor?s hypothesis. For this purpose, Taylor?s hypothesis has been tested using more than 1.5 yr of high-resolution radar data. In terms of correlation between spatial and temporal profiles of rainfall intensities, the validity of Taylor?s hypothesis quickly decreases with distance. However, in terms of error statistics, the hypothesis is seen to hold up to distances of at least 10 km. Errors and uncertainties (mean bias error and root-mean-square error, respectively) in microwave link rainfall estimates due to spatial DSD variation are at a minimum at frequencies (and frequency combinations) where the power-law relation for the conversion to rainfall intensity is close to linear. Errors generally increase with link length, whereas uncertainties decrease because of the decrease of scatter about the retrieval relations because of averaging of spatially variable DSDs for longer links. The exponent of power-law rainfall retrieval relations can explain a large part of the variation in both bias and uncertainty, which means that the order of magnitude of these error statistics can be predicted from the value of this exponent, regardless of the link length.
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      Errors and Uncertainties in Microwave Link Rainfall Estimation Explored Using Drop Size Measurements and High-Resolution Radar Data

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4212654
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    contributor authorLeijnse, Hidde
    contributor authorUijlenhoet, Remko
    contributor authorBerne, Alexis
    date accessioned2017-06-09T16:36:27Z
    date available2017-06-09T16:36:27Z
    date copyright2010/12/01
    date issued2010
    identifier issn1525-755X
    identifier otherams-70830.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4212654
    description abstractMicrowave links can be used for the estimation of path-averaged rainfall by using either the path-integrated attenuation or the difference in attenuation of two signals with different frequencies and/or polarizations. Link signals have been simulated using measured time series of raindrop size distributions (DSDs) over a period of nearly 2 yr, in combination with wind velocity data and Taylor?s hypothesis. For this purpose, Taylor?s hypothesis has been tested using more than 1.5 yr of high-resolution radar data. In terms of correlation between spatial and temporal profiles of rainfall intensities, the validity of Taylor?s hypothesis quickly decreases with distance. However, in terms of error statistics, the hypothesis is seen to hold up to distances of at least 10 km. Errors and uncertainties (mean bias error and root-mean-square error, respectively) in microwave link rainfall estimates due to spatial DSD variation are at a minimum at frequencies (and frequency combinations) where the power-law relation for the conversion to rainfall intensity is close to linear. Errors generally increase with link length, whereas uncertainties decrease because of the decrease of scatter about the retrieval relations because of averaging of spatially variable DSDs for longer links. The exponent of power-law rainfall retrieval relations can explain a large part of the variation in both bias and uncertainty, which means that the order of magnitude of these error statistics can be predicted from the value of this exponent, regardless of the link length.
    publisherAmerican Meteorological Society
    titleErrors and Uncertainties in Microwave Link Rainfall Estimation Explored Using Drop Size Measurements and High-Resolution Radar Data
    typeJournal Paper
    journal volume11
    journal issue6
    journal titleJournal of Hydrometeorology
    identifier doi10.1175/2010JHM1243.1
    journal fristpage1330
    journal lastpage1344
    treeJournal of Hydrometeorology:;2010:;Volume( 011 ):;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
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