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

Wang, Nuan and Yu, Jie and Zhu, Lin and Wang, Yanbing and He, Zhengyang (2021) Spatial Downscaling of Remote Sensing Precipitation Data in the Beijing-Tianjin-Hebei Region. Journal of Computer and Communications, 09 (06). pp. 191-202. ISSN 2327-5219

[thumbnail of jcc_2021062910010707.pdf] Text
jcc_2021062910010707.pdf - Published Version

Download (2MB)

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.

Item Type: Article
Subjects: Science Global Plos > Computer Science
Depositing User: Unnamed user with email support@science.globalplos.com
Date Deposited: 16 May 2023 08:25
Last Modified: 12 Jan 2024 07:15
URI: http://ebooks.manu2sent.com/id/eprint/873

Actions (login required)

View Item
View Item