全球多源降水融合数据集（2022-2025）

以IMERG多源融合降水产品为背景，融合了FY-3C、3D和3E卫星高质量微波降水产品后的降水融合产品；采用机器学习的方法反演FY-3C、3D、3E和3F卫星的降水产品，并将FY-3降水产品与IMERG中其他微波观测拼接。对拼接后的所有被动微波产品采用云运动矢量外推，并通过卡尔曼滤波与GOES、MetSat和Himawari 等静止卫星的红外降水产品融合。FY-3系列卫星的高质量微波降水产品可以有效补充IMERG中因微波观测缺口导致的误差，为全球降水研究提供更可靠的数据集。相关研究已发表在https://doi.org/10.1016/j.scib.2024.05.007。

Based on the IMERG multi-source merged precipitation product, this dataset is a merged precipitation product that fuses high-quality microwave precipitation products from FY-3C, 3D and 3E satellites. It adopts machine learning methods to retrieve precipitation products from FY-3C, 3D, 3E and 3F satellites, and mosaics the FY-3 series precipitation products with other microwave observations in IMERG. Cloud motion vector extrapolation is applied to all mosaicked passive microwave products, and the results are fused with infrared precipitation products from geostationary satellites including GOES, MetSat and Himawari via Kalman filtering. The high-quality microwave precipitation products from the FY-3 series satellites can effectively mitigate the errors caused by microwave observation gaps in IMERG, providing a more reliable dataset for global precipitation research. The relevant research has been published at https://doi.org/10.1016/j.scib.2024.05.007.

搜集汇总

背景与挑战

背景概述

全球多源降水融合数据集（2022-2025）是一个高时空分辨率的降水数据集，融合了多源卫星观测数据，采用先进算法提升数据精度，适用于全球降水研究。