江苏省太湖流域MSWEP数据与地表站网雨量资料融合研究

Study on the integration of MSWEP data and rainfall information from surface station network in Taihu Lake Basin,Jiangsu Province

以江苏省太湖流域采用空间降尺度处理后的MSWEP日降水数据为基础,开展基于地理加权回归方法的MSWEP与地表站网资料的降水融合研究,解析了降水融合数据较原始MSWEP数据的精度改善情况。通过对1979—2019年的长系列研究结果发现,MSWEP日降水与站网降水融合后,对研究区域日雨量场空间变异性的刻画能力明显提高,其平均绝对误差、相关系数等各项定量精度指标均有所改善。

Using daily downscaled MSWEP rainfall data as the background field,and merging with rainfall data from gauge observation based on Geographically Weighted Regression in the Taihu Lake Basin within Jiangsu Province.The result from long series of 1979~2019 shows that,after rainfall merging of MSWEP daily rainfall data and gauge observation,the ability of describe the characterize spatial variability of precipitation have a remarkable enhancement,meanwhile the mean absolute error,correlation coefficient and other quantitative accuracy index are significantly improved.