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has been cited by the following article:

• TITLE: Spatial Downscaling of Remote Sensing Precipitation Data in the Beijing-Tianjin-Hebei Region

  AUTHORS: Nuan Wang, Jie Yu, Lin Zhu, Yanbing Wang, Zhengyang He

  KEYWORDS: TRMM, GPM, Spatial Downscaling, Geographically Weighted Regression

  JOURNAL NAME: Journal of Computer and Communications, Vol.9 No.6, June 30, 2021

  ABSTRACT: Precipitation is an important part of the global hydrological cycle. The large- scale, high-precision continuous precipitation data obtained by satellite remote sensing detection technology has become an important source of spatial precipitation data. However, because the spatial resolution of remote sensing precipitation data is still low, it is difficult to meet the needs of hydrological research, which restricts their application in drought and flood analysis, hydrological simulation, etc. In response to this problem, this paper takes the Beijing-Tianjin-Hebei region as the research area, downscaling the TRMM data and the GPM data space of the continuation plan, and increasing the spatial resolution of the data to 1 km. Compared with the original data, spatial downscaling data not only greatly improves the spatial resolution, but also increases the accuracy of the data, which has better applicability.