Application Experiment on Quantitative Rainfall Estimation with Radar Mosaic Data
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Abstract:
The radar and automatic precipitation station data of 5 to 7 June 2008 from the Guangdong provincial CINRAD network are used, an analysis is carried out of the observation differences of the radar networking system at 3 km over Guangdong Province, and it is discovered that observed values of Guangzhou radar, compared to nearby radar, are generally 1 to 3 dBz higher, and those of Meizhou radar are 1 to 2 dBz lower. With the Z〖CD*2〗R relationship and the optimum interpolation calibrated method, 6minute and 1hour quantitative rainfall estimations are conducted, and a verification is made using the basin average rainfall deviations and the rootmeansquare errors on the estimation effect. It is concluded: in 6minute precipitation estimation, two methods would underestimate precipitation, and the bigger the precipitation, the better the estimation effect is; in 1 hour precipitation estimation, the estimations of the two methods are generally higher, and the results of the radarraingauge estimation method is best, in which progressive accumulation and then calibration are performed; the shorttime precipitation estimation can reflect well the variation in precipitation processes, while the longterm precipitation estimations can estimate the amount of precipitation more accurately.
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Supported by:Beijing E-Tiller Technology Development Co., Ltd.
Supported by:Beijing E-Tiller Technology Development Co., Ltd.