[1]云兆得,杜飞,胡庆芳,等.江苏省太湖流域MSWEP数据与地表站网雨量资料融合研究[J].江苏水利,2023,(01):54-58.
 YUN Zhaode,DU Fei,HU Qingfang,et al.Study on the integration of MSWEP data and rainfall information from surface station network in Taihu Lake Basin, Jiangsu Province[J].JIANGSU WATER RESOURCES,2023,(01):54-58.
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江苏省太湖流域MSWEP数据与地表站网雨量资料融合研究()
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《江苏水利》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2023年01期
页码:
54-58
栏目:
水文水资源
出版日期:
2023-01-30

文章信息/Info

Title:
Study on the integration of MSWEP data and rainfall information from surface station network in Taihu Lake Basin, Jiangsu Province
文章编号:
1007-7839(2023)01-0054-0005
作者:
云兆得1杜飞1胡庆芳12王银堂12
(1.南京水利科学研究院 水文水资源与水利工程科学国家重点实验室,江苏 南京210029;2.长江保护与绿色发展研究院,江苏 南京210098)
Author(s):
YUN Zhaode1 DU Fei2 HU Qingfang12 WANG Yintang12
(1.State Key Laboratory of Hydrology-Water Resource and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, China;2. Yangtze Institute for Conservation and Development, Nanjing 210098, China)
关键词:
降水融合MSWEP数据太湖流域
Keywords:
rainfall merging MSWEP Data Taihu Lake Basin
分类号:
TV125
文献标志码:
A
摘要:
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。
Abstract:
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.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2022-07-16
基金项目:江苏省水利科技项目(2020034);国家自然科学基金面上项目(51479118)
作者简介:云兆得(1996—),男,硕士,主要从事遥感水文的研究工作。E-mail: zd_yun@foxmail.com
更新日期/Last Update: 2023-01-30