Consensus Methods of Estimating Rainfall Using Radar Based on Error Analysis
Yong Huang, Jinyin Ye
Abstract
Yong Huang, Jinyin Ye
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.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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