Published March 27, 2023 | Version v2
Dataset Open

An Integrated Precipitation Product for the Arid and Semi-arid Regions of China

Authors/Creators

  • 1. Lanzhou University

Description

We integrate various reanalysis, meteorological observation, and satellite precipitation datasets, including CRU (Climate Research Unit), MERRA2 (Modern-Eta Retrospective Analysis for Research and Applications version2), CMAP (Climate Prediction Center (CPC) integrated analysis of monthly precipitation), GPCP (Global Precipitation Climatology Project) and GPM (Global Precipitation Measurement), to create a new monthly precipitation product with a spatial resolution approximately 0.2° × 0.2° (latitude × longitude) during the period from 1980 to 2019 in ASRC. The new product was validated with observations at different temporal scales (e.g., monthly to yearly variability and trends). The results show that the new product improves the accuracy of precipitation with the lower bias of -1.1 mm month-1. The annual trend of integrated precipitation is 0.09 mm/year which is consistent with the trend of observation. 

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