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

<p>We integrate various reanalysis, meteorological observation,&nbsp;and satellite precipitation datasets, including CRU (Climate Research Unit), MERRA2 (Modern-Eta Retrospective Analysis for Research and Applications&nbsp;version2), CMAP (Climate Prediction Center&nbsp;(CPC)&nbsp;integrated&nbsp;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&nbsp;0.2&deg; &times; 0.2&deg; (latitude &times; longitude)&nbsp;during the period from 1980 to 2019 in ASRC. The new product was validated&nbsp;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&nbsp;mm month<sup>-1</sup>. The annual trend of integrated precipitation is 0.09 mm/year which is consistent with the trend of observation.&nbsp;</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
20
Reuse readiness
8
Engagement
0

Dataset details

Repository
zenodo
Published
December 31, 2022
License
cc-by-4.0
DOI
10.5281/zenodo.7774706

Scored with release 0.9.0

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