2016-2021年汛期中国0.25°10min降水定量降水产品

本数据集利用Himawari-8红外亮温数据反演中国区域（80˚E）10min/25km分辨率的定量降水。该数据集与GPM IMERG Final产品在月尺度和小时尺度上，空间格局相似性较高。在2017-2021年中国典型极端降水案例中，Himawari-8降水产品能捕捉到降水峰值的变化和空间上降水。证明由机器学习算法建立的降水反演算法，在有高精度的观测降水基础上，能够在时间和空间上接近训练的降水产品。数据集可以通过数据平台免费向科研用户共享。

This dataset retrieves quantitative precipitation over the Chinese region (80°E) with a temporal resolution of 10 minutes and spatial resolution of 25 km using Himawari-8 infrared brightness temperature data. It exhibits high spatial pattern similarity with the GPM IMERG Final product at both monthly and hourly scales. In typical extreme precipitation events across China during 2017–2021, the Himawari-8 precipitation product can capture the variations of precipitation peaks and the spatial distribution of precipitation. This validates that the precipitation retrieval algorithm developed via machine learning can achieve results comparable to the reference precipitation product used for training in both temporal and spatial dimensions, when trained on high-precision observed precipitation datasets. This dataset is freely accessible to scientific researchers through data platforms.

搜集汇总

背景与挑战

背景概述

该数据集是一个2016-2021年中国汛期降水定量产品，基于Himawari-8红外亮温数据和机器学习算法反演，提供0.25°空间分辨率和10分钟时间分辨率的降水数据。数据与GPM IMERG最终产品在空间和时间模式上高度相似，能有效捕捉极端降水事件的峰值和空间分布，适用于高精度降水观测和大气科学研究。