【摘要】 提出了基于雷达测雨数据的R-G联合法,该法在原有雨量站实测降雨的基础上,引入了雷达测站得到的雷达数据.雨量站实测点雨量精度高,雷达站测的数据在空间上分布合理.R-G联合法结合雨量站和雷达两者的优点,得到面上分布合理并且精度高的降水数据.选择站网密度比较理想的湖北东部区域对各方法进行实际应用,通过与传统数据同化方法的对比分析研究,证明所提方法可明显提高数据同化精度.更多还原

【Abstract】 The R-G method which estimates the rainfall spatial distribution using weather-radar,is proposed.This method uses the radar-explored data to estimate the rainfall spatial distribution on the basis of the original rain gauge data.The precision of rain gauge data is high and the spatial distribution of radar-explored data is applicable(reasonable).So the idea of the R-G Method is to make use of both of them by combining their merits,and then to find more precise and mose applicable spatial distribution of the rainfall.In the case study of an east area of Hubei Province which has enough rainfall stations,various traditional data assimilation methods and the R-G Method are applied to calculate the spatial distribution of the rainfall.The cross-validation method is used to examine the precision and applicability of these approaches.Finally,the research result shows that the R-G Method’s precision and applicability are obviously better than traditional data assimilation methods.更多还原