利用湖南省2013年汛期(4—9月)的高密度区域自动站的雨量数据，引入Cressman逐步订正法求取0.01◦×0.01◦精细网格的区域降水量，并与距离平方倒数法、距离指数法和距离平方指数法计算的区域降水量进行比较.结果表明， Cressman逐步订正法计算的区域降水量与距离平方倒数法和距离指数法的结果相当，但其空间结构更为精细和准确，更好地反映了雨量站数据的分布特征.交叉验证表明Cressman逐步订正法与原始区域自动站值最为接近，误差绝对值小于0.5 mm 的雨量站占总站数的98.71%，误差标准差为0.24 mm.对于0.01◦×0.01◦精细的空间分辨率而言， Cressman逐步订正法利用高密度的区域自动站数据求得的区域降水量可以用于检验雷达定量估测降水.%Using the precipitation data given by high-density regional automated weather stations during main flood season in Hunan Province, in 2013, Cressman algorithm is introduced to calculate the regional precipitation value in 0.01◦×0.01◦resolution and is compared with the methods of a reciprocal of distance square, distance exponent, and distance square exponent. It is shown that the precipitation construction of Cressman algorithm is finer and closer to the features of gage data than other methods. Precipitation accumulation amount given by Cressman algorithm is in agreement with those obtained using methods of reciprocal of distance square and range exponent as well. Cross-validation tests show that the number with the absolute error less than 0.5 mm accounts for 98.71% of total gage number. The standard deviation of error is 0.24 mm, which is the least of all methods. As to 0.01◦×0.01◦ resolution, the regional precipitation calculated by Cressman algorithm is adaptable to validate the radar estimation rainfall.
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