000020342 001__ 20342
000020342 041__ $$aEnglish
000020342 100__ $$aChu, D.
000020342 245__ $$aValidation of the satellite-derived rainfall estimates over the Tibet
000020342 260__ $$c2012
000020342 300__ $$a734-741
000020342 507__ $$aSagar Bajracharya ICIMOD Staff
000020342 507__ $$apeerreviewed
000020342 507__ $$apeerreviewed
000020342 520__ $$aMeasuring rainfall from space appears to be the only cost effective and viable means in estimating regional precipitation over the Tibet, and the satellite rainfall products are essential to hydrological and agricultural modeling. A long-standing problem in the meteorological and hydrological studies is that there is only a sparse raingauge network representing the spatial distribution of precipitation and its quantity on small scales over the Tibet. Therefore, satellite derived quantitative precipitation estimates are extremely useful for obtaining rainfall patterns that can be used by hydrological models to produce forecasts of river discharge and to delineate the flood hazard area. In this paper, validation of the US National Oceanic and Atmospheric Administration (NOAA) Climate Prediction Center (CPC) RFE (rainfall estimate) 2.0 data was made by using daily rainfall observations at 11 weather stations over different climate zones from southeast to northwest of the Tibet during the rainy season from 1 June to 30 September 2005 and 2006. Analysis on the time series of daily rainfall of RFE-CPC and observed data in different climate zones reveals that the mean correlation coefficients between satellite estimated and observed rainfall is 0.74. Only at Pali and Nielamu stations located in the southern brink of the Tibet along the Himalayan Mountains, are the correlation coefficients less than 0.62. In addition, continuous validations show that the RFE performed well in different climate zones, with considerably low mean error (ME) and root mean square error (RMSE) scores except at Nielamu station along the Himalayan range. Likewise, for the dichotomous validation, at most stations over the Tibet, the probability of detection (POD) values is above 73% while the false alarm rate (FAR) is between 1% and 12%. Overall, NOAA CPC RFE 2.0 products performed well in the estimation and monitoring of rainfall over the Tibet and can be used to analyze the precipitation pattern, produce discharge forecast, and delineate the flood hazard area.
000020342 653__ $$aprecipitation
000020342 653__ $$avalidation
000020342 653__ $$asatellite rainfall estimation
000020342 653__ $$aTibetan Plateau
000020342 650__ $$aIWRM
000020342 700__ $$aPubu, T.
000020342 700__ $$aNorbu, G.
000020342 700__ $$aSagar, B.
000020342 700__ $$aMandira, S.
000020342 700__ $$aGuo, J.
000020342 773__ $$pActa Meteorologica Sinica
000020342 773__ $$v25 (6)
000020342 773__ $$a10.1007/s13351-011-0604-8
000020342 8564_ $$uhttp://www.springerlink.com/content/8459083423r7g768/$$yExternal link
000020342 8564_ $$uhttp://lib.icimod.org/record/20342/files/20342.pdf
000020342 8564_ $$uhttp://lib.icimod.org/record/20342/files/20342.ps.gz
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000020342 980__ $$aARTICLE