Extended Abstract (40K)P2.14
Heteroskedasticity and the Weighted Least Square Method in Radar Rainfall Estimate
Wenyao Pu, Nanjing University, Dalian, Liaoning, China; and M. Wei, H. Li, Y. He, S. Yu, and Z. Huang
In order to study the relation of echo intensity and precipitation in Dalian and bring into play the effect of Doppler radar and rain gauge for rainfall estimating,the method of Z-I regression is usedBBased on the data of radar and rain gauge from two cumulostratus precipitation processes in 2006,the variety disciplinarian of A and b is analyzedBIt is found there has the heteroskedasticity in the Z-I relation due to its nonlinearity and instability, and the method of weighted least square is proposed for overcoming this problem. Comparing analysis has been done among the method of the weighted least square and others. The research result shows that the instability is restrained in the account processes using the weighted least square method,and the absolute errors of radar rainfall estimation can be minimized while according with practice discipline of Z-I relation.
Poster Session P2, Quantitative Precipitation Estimation and Hydrological Applications
Monday, 6 August 2007, 1:30 PM-3:30 PM, Halls C & D
Previous paper Next paper