2009-2018年云南省TRMM降尺度数据（第一版）
收藏国家对地观测科学数据中心2023-10-18 更新2024-03-04 收录
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https://noda.ac.cn/datasharing/datasetDetails/65261fb4ad8608753802fbff
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资源简介：
通过地理加权回归（GWR）模型构建云南地区TRMM数据与NDVI数据之间的函数关系，完成TRMM数据降尺度处理，得到更为精细的降水数据，其空间分辨率为1km。该数据可为开展区域降水研究、水文预报和防洪减灾等提供空间分辨率较高的月、季、年多个尺度的降水产品数据。
We utilized a geographically weighted regression (GWR) model to construct the functional correlation between TRMM and NDVI datasets over the Yunnan region, and performed downscaling processing on TRMM precipitation data to acquire refined precipitation products with a spatial resolution of 1 km. These high-spatial-resolution precipitation products, covering multiple temporal scales including monthly, seasonal and annual dimensions, can provide essential data support for regional precipitation research, hydrological forecasting, flood control and disaster mitigation and other relevant research works.
创建时间：
2023-10-18
