2010Journal of Atmospheric and Environmental OpticsRequires access

Consensus Methods of Estimating Rainfall Using Radar Based on Error Analysis

Yong Huang, Jinyin Ye

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Abstract

In the Huaihe River Basin,the estimated rainfall values were consensused from the methods of Z-I relation,average calibration,optimum interpolation,Kalman filter and optimum interpolation and Kalman filter based on the analysis of error,under the supposal that those errors of five estimate values were different in different precipitation pattern.Results of the analysis of the rainfall cases in the early of July 2007 indicate that the method of consensus is useful and the ability of estimation is improved when the value of rainfall is small,but when the rainfall is heavy the result is unsatisfactory.

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What this paper is about

In the Huaihe River Basin,the estimated rainfall values were consensused from the methods of Z-I relation,average calibration,optimum interpolation,Kalman filter and optimum interpolation and Kalman filter based on the analysis of error,under the supposal that those errors of five estimate values were different in different precipitation pattern.Results of the analysis of the rainfall cases in the early of July 2007 indicate that the method of consensus is useful and the ability of estimation is improved when the value of rainfall is small,but when the rainfall is heavy the result is unsatisfactory.

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Available abstract

In the Huaihe River Basin,the estimated rainfall values were consensused from the methods of Z-I relation,average calibration,optimum interpolation,Kalman filter and optimum interpolation and Kalman filter based on the analysis of error,under the supposal that those errors of five estimate values were different in different precipitation pattern.Results of the analysis of the rainfall cases in the early of July 2007 indicate that the method of consensus is useful and the ability of estimation is improved when the value of rainfall is small,but when the rainfall is heavy the result is unsatisfactory.

Key concepts: Interpolation (computer graphics), Kalman filter, Radar, Precipitation, Calibration, Computer science, Error analysis, Meteorology

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