A rainstorm dataset in China during 2001-2019

This rainstorm dataset is extracted from a long time series (January 2001 to December 2019) of 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 is able to reflect the spatial distribution characteristics of extreme precipitation in China. Understanding the temporal and spatial characteristics of rainstorms across the country can be helpful for preventing and alleviating disasters. This dataset provides important support for the development of social economy and ecological environment. It is of important theoretical and practical application value.

本暴雨数据集源自长时间序列（2001年1月至2019年12月）的全球降水量测量（GPM）产品。依据中国气象局规定的暴雨阈值，通过Python编程语言从GPM时间序列数据中提取暴雨事件。该数据集覆盖整个中国，空间分辨率为0.1°×0.1°。该数据集源自卫星降水量产品的长期序列，具有高精度和高分辨率，能够反映中国极端降水的空间分布特征。深入理解全国范围内暴雨的时空特性，对于预防和减轻灾害具有重要意义。本数据集为社会经济发展和生态环境建设提供了重要的数据支持，具有重要的理论及实践应用价值。

搜集汇总

背景与挑战

背景概述

该数据集是从2001年1月至2019年12月的全球降水测量(GPM)产品中提取的中国暴雨事件数据，空间分辨率为0.1°×0.1°，覆盖整个中国地区。数据集具有高精度和高分辨率，能够反映中国极端降水的空间分布特征，对防灾减灾和社会经济发展具有重要支持作用。