Other Data Paper Zone I Versions ZH2
A rainstorm dataset in China during 2001–2019
Dataset URL >>
: 2021 - 08 - 24
: 2021 - 09 - 23
: 2021 - 09 - 23
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Abstract & Keywords
Abstract: This rainstorm dataset is extracted from a long time series (January 2001 to December 2019) of the Global Precipitation Measurement (GPM) product. According to the rainstorm threshold defined by the China Meteorological Administration, rainstorm events are extracted from time series GPM data using Python programming. The dataset covers the whole China with a spatial resolution of 0.1°×0.1°. Derived from long-term sequence of satellite precipitation products, with high-precision and high-resolution, this rainstorm dataset can reflect the spatial distribution characteristics of extreme precipitation in China. Understanding the temporal and spatial characteristics of rainstorms across the country can help prevent and alleviate disasters. This dataset provides important support for the development of the social economy and ecological environment. It is of important theoretical and practical application value.
Keywords: rainstorm; Global Precipitation Measurement (GPM); China
Dataset Profile
TitleA rainstorm dataset in China during 2001–2019
Data authorBai He, Ming Yisen, Liu Qihang, Huang Chang
Data corresponding authorHuang Chang (changh@nwu.edu.cn)
Time rangs2001–2019
Geographical scopeLongitude&latitude; geographical scope (73°33′-135°05′E,3°51′-53°33′N); specific areas include: China
Spatial resolution0.1°×0.1°
Data volume16.2 MB
Data format*.tif
Source of fundingNational Key R & D Program (2017YFC1502501).
Data service system<http://www.doi.org/10.11922/sciencedb.j00001.00290>
Dataset compositionThis dataset includes rainstorm data in China from 2001 to 2019. According to different years, the rainstorm data for each year is stored in a separate folder, a total of 19 files. which includes 6 sub-datasets, StormCount, StormDuration, StormLevel, StormPeak, StormTime, and StormVolume. After compression, the data volume of this dataset is approximately 16.2 MB.
Article and author information
Bai He
Ming Yisen
Liu Qihang
Huang Chang
Publication records
Released: Sept. 23, 2021 ( VersionsZH2