globalchange  > 气候减缓与适应
DOI: 10.1002/joc.5510
论文题名:
Evaluation of three global gridded precipitation data sets in central Asia based on rain gauge observations
作者: Hu Z.; Zhou Q.; Chen X.; Li J.; Li Q.; Chen D.; Liu W.; Yin G.
刊名: International Journal of Climatology
ISSN: 8998418
出版年: 2018
卷: 38, 期:9
起始页码: 3475
结束页码: 3493
语种: 英语
英文关键词: central Asia ; evaluation ; gridded precipitation data set ; rain gauge observation
Scopus关键词: Climate models ; Drought ; Interpolation ; Rain gages ; Central Asia ; Evaluation ; Meteorological station ; Precipitation data ; Precipitation variation ; Rain gauges ; Seasonal precipitations ; Spring precipitation ; Rain ; accuracy assessment ; correlation ; data set ; drought ; interpolation ; observational method ; precipitation assessment ; rainfall ; raingauge ; regional climate ; Central Asia
英文摘要: 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. © 2018 Royal Meteorological Society
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/116846
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作者单位: State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China; Department of Geography, Hong Kong Baptist University, Kowloon Tong, Hong Kong; School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou, China; Department of Earth Sciences, University of Gothenburg, Gothenburg, Sweden; Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China; College of Information Science and Engineering, Xinjiang University, Urumqi, China

Recommended Citation:
Hu Z.,Zhou Q.,Chen X.,et al. Evaluation of three global gridded precipitation data sets in central Asia based on rain gauge observations[J]. International Journal of Climatology,2018-01-01,38(9)
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