青藏高原南部卫星与地面站融合降雨数据集（2014-2019雨季）

青藏高原南部卫星与地面站融合降雨数据集，数据为ASCII格式，时间分辨率为1天，水平空间分辨率为0.1°，时间覆盖范围为2014-2019每年的6月10日-10月31日，可为青藏高原南部降雨验证与水文模拟提供驱动数据。 该数据集是以中国气象局和水利部水文局的站点降雨资料为近似真值，站点降雨数据经过严格的质量控制，是目前为止该区域密度最高的地面站网。数据融合采用动态贝叶斯模型平均方法，对国际上现有的GPM IMERG，GSMaP_Guage，CMORPH卫星降水产品融合而成。站点统计评估和水文模拟验证优于原始卫星数据，好于国际上流行的再分析数据CHIRPS和MSWEP。Satellite and Ground Station Merged Rainfall Dataset over Southern Tibetan Plateau. The dataset is stored in ASCII format, with a temporal resolution of 1 day (daily) and a horizontal spatial resolution of 0.1°. Its temporal coverage ranges from June 10 to October 31 annually between 2014 and 2019, and can serve as driving data for rainfall validation and hydrological simulation over the southern Tibetan Plateau. This dataset utilizes station rainfall data from the China Meteorological Administration and the Hydrological Bureau of the Ministry of Water Resources as approximate ground truths. The station rainfall data has undergone strict quality control, and constitutes the densest ground station network in this region to date. The data fusion employs the dynamic Bayesian model averaging method to integrate existing international satellite precipitation products including GPM IMERG, GSMaP_Gauge, and CMORPH. Statistical evaluation based on in-situ stations and hydrological simulation validation show that this dataset outperforms the original satellite products, and is superior to internationally popular reanalysis datasets CHIRPS and MSWEP.

搜集汇总

背景与挑战

背景概述

该数据集是青藏高原南部2014-2019年雨季的融合降雨数据，时间分辨率为1天，空间分辨率为0.1°，采用动态贝叶斯模型平均方法融合多卫星产品和密集地面站数据，精度优于原始卫星及国际再分析数据，适用于降雨验证和水文模拟。