A Review of Global Precipitation Data Sets: Data Sources, Estimation, and Intercomparisons

Reviews of Geophysics - Tập 56 Số 1 - Trang 79-107 - 2018
Qing Sun1, Chiyuan Miao1, Qingyun Duan1, Hamed Ashouri2, Soroosh Sorooshian2, Kuolin Hsu2
1State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, China
2Department of Civil and Environmental Engineering, University of California, Irvine, CA, USA

Tóm tắt

AbstractIn this paper, we present a comprehensive review of the data sources and estimation methods of 30 currently available global precipitation data sets, including gauge‐based, satellite‐related, and reanalysis data sets. We analyzed the discrepancies between the data sets from daily to annual timescales and found large differences in both the magnitude and the variability of precipitation estimates. The magnitude of annual precipitation estimates over global land deviated by as much as 300 mm/yr among the products. Reanalysis data sets had a larger degree of variability than the other types of data sets. The degree of variability in precipitation estimates also varied by region. Large differences in annual and seasonal estimates were found in tropical oceans, complex mountain areas, northern Africa, and some high‐latitude regions. Overall, the variability associated with extreme precipitation estimates was slightly greater at lower latitudes than at higher latitudes. The reliability of precipitation data sets is mainly limited by the number and spatial coverage of surface stations, the satellite algorithms, and the data assimilation models. The inconsistencies described limit the capability of the products for climate monitoring, attribution, and model validation.

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Reviews of Geophysics

Tập 56 Số 1

79-107

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