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Evaluation of three global gridded precipitation data sets in central Asia based on rain gauge observations

Artikel i vetenskaplig tidskrift
Författare Z. Y. Hu
Q. M. Zhou
X. Chen
J. F. Li
Q. X. Li
Deliang Chen
W. B. Liu
G. Yin
Publicerad i International Journal of Climatology
Volym 38
Nummer/häfte 9
Sidor 3475-3493
ISSN 0899-8418
Publiceringsår 2018
Publicerad vid Institutionen för geovetenskaper
Sidor 3475-3493
Språk en
Länkar dx.doi.org/10.1002/joc.5510
Ämnesord central Asia, evaluation, gridded precipitation data set, rain gauge observation, land-surface precipitation, air-temperature, satellite, products, topography, reanalysis, resolution, climate, region, error, Meteorology & Atmospheric Sciences
Ämneskategorier Meteorologi och atmosfärforskning

Sammanfattning

The accuracies of gridded precipitation data sets are important for regional climate studies and hydrological models. In this study, the performances of Global Precipitation Climatology Centre (GPCC) V7, Climatic Research Unit (CRU) TS 3.22 and Willmott and Matsuura (WM) precipitation data sets were examined over central Asia by comparing them against observed precipitation records (OBS) from 586 meteorological stations during 1901-2010. The results show that all the three gridded data sets underestimated the observed precipitation at annual and monthly scales, especially in mountainous areas. Both GPCC and WM underestimated seasonal precipitation, especially for spring precipitation. Among the three gridded data sets, GPCC had the highest correlation and lowest bias compared with CRU and WM when against the OBS. WM had a higher correlation than that of CRU, and its bias was larger than that of CRU. In terms of the drought and heavy rainfall events, CRU had the best performance in capturing drought events, and GPCC was best at representing heavy rainfall events. These differences in the performances between the three gridded data sets were primarily induced by their different interpolation methods and the numbers of available meteorological stations used in the interpolations of the three gridded data sets. Therefore, compared to the other two data sets, GPCC is more suitable for studies of long-term precipitation variations over central Asia.

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