globalchange  > 过去全球变化的重建
DOI: 10.1007/s00382-014-2310-6
Scopus记录号: 2-s2.0-84935021827
论文题名:
Comparison of multiple datasets with gridded precipitation observations over the Tibetan Plateau
作者: You Q.; Min J.; Zhang W.; Pepin N.; Kang S.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2015
卷: 45, 期:2017-03-04
起始页码: 791
结束页码: 806
语种: 英语
英文关键词: Multi-datasets ; Observation ; Precipitation ; Tibetan Plateau
英文摘要: Precipitation is a critical component of the water balance, and hence its variability is critical for cryospheric and climate change in the Tibetan Plateau (TP). Mean annual and seasonal precipitation totals are compared between gridded observations interpolated to a high resolution (0.5° × 0.5°) and multiple reanalysis type-datasets during 1979–2001. The latter include two NCEP reanalyses (NCEP1 and NCEP2), two European Centre for Medium-Range Weather Forecasts (ECMWF) reanalyses (ERA-40 and ERA-Interim), three modern reanalyses [the twentieth century reanalysis (20century), MERRA and CFSR] and three merged analysis datasets (CMAP1, CMAP2 and GPCP). Observations show an increase in mean precipitation from the northwestern to the southeastern (SE) regions of the TP which are divided by an isohyet of 400 mm, and overall trends during the studied period are positive. Compared with observations, most of the datasets (NCEP1, NCEP2, CMAP1, CMAP2, ERA-Interim, ERA-40, GPCP, 20century, MERRA and CFSR) can both broadly capture the spatial distributions and identify temporal patterns and variabilities of mean precipitation. However, most multi-datasets overestimate precipitation especially in the SE where summer convection is dominant. There remain substantial disagreements and large discrepancies in precipitation trends due to differences in assimilation systems between datasets. Taylor diagrams are used to show the correlation coefficients, standard deviation, and root-mean-square difference of precipitation totals between interpolated observations and assimilated values on an annual and seasonal basis. Merged analysis data (CMAP1 and CMAP2) agree with observations more closely than reanalyses. Thus not all datasets are equally biased and choice of dataset is important. © 2014, Springer-Verlag Berlin Heidelberg.
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被引频次[WOS]:148   [查看WOS记录]     [查看WOS中相关记录]
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/54071
Appears in Collections:过去全球变化的重建

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作者单位: Earth System Modelling Center (ESMC), Nanjing International Academy of Meteorological Sciences (NIAMS), Key Laboratory of Meteorological Disaster, Ministry of Education, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China; Open Research Fund Program of Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Chengdu, China; Department of Geography, University of Portsmouth, Portsmouth, United Kingdom; State Key Laboratory of Cryospheric Science, Chinese Academy of Sciences, Lanzhou, China

Recommended Citation:
You Q.,Min J.,Zhang W.,et al. Comparison of multiple datasets with gridded precipitation observations over the Tibetan Plateau[J]. Climate Dynamics,2015-01-01,45(2017-03-04)
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