globalchange  > 气候减缓与适应
DOI: 10.1007/s00382-018-04611-1
WOS记录号: WOS:000471722400044
论文题名:
Assessment of CFSR, ERA-Interim, JRA-55, MERRA-2, NCEP-2 reanalysis data for drought analysis over China
作者: Chen, Shu1,4; Gan, Thian Yew2; Tan, Xuezhi3; Shao, Dongguo4; Zhu, Jianqiang5
通讯作者: Gan, Thian Yew
刊名: CLIMATE DYNAMICS
ISSN: 0930-7575
EISSN: 1432-0894
出版年: 2019
卷: 53, 期:1-2, 页码:737-757
语种: 英语
英文关键词: Assessment of reanalysis datasets ; Drought analysis ; Palmer Drought Severity Index ; Standardized Precipitation Index ; Standardized Precipitation Evapotranspiration Index
WOS关键词: DAILY REFERENCE EVAPOTRANSPIRATION ; SPATIOTEMPORAL VARIATION ; CLIMATE-CHANGE ; PRECIPITATION ; VARIABILITY ; TRENDS ; TEMPERATURE ; INDEXES ; MODELS
WOS学科分类: Meteorology & Atmospheric Sciences
WOS研究方向: Meteorology & Atmospheric Sciences
英文摘要:

Five reanalysis datasetsNational Centers for Environmental Prediction reanalysis II (NCEP-2), NCEP Climate Forecast System Reanalysis (CFSR), European Centre for Medium-Range Weather Forecasts (ECMWF) Interim Reanalysis (ERA-Interim), Japanese 55-year Reanalysis Project (JRA-55), and National Aeronautics and Space Administration (NASA) Modern Era Reanalysis for Research and Applications Version-2 (MERRA-2)are selected to estimate meteorological droughts of China using three drought indicesthe Palmer Drought Severity Index (PDSI), Standardized Precipitation Index (SPI), and Standardized Precipitation Evapotranspiration Index (SPEI). Drought indices, drought areas and drought severity estimated for China from these reanalysis datasets are assessed against corresponding results obtained from observed climate dataset of China using Nash-Sutcliffe efficiency (NSE), correlation coefficient, and the analysis of time series. Further, temperature, precipitation and potential evapotranspiration data of the five reanalysis datasets are also compared against the observed dataset. Drought indices and drought areas estimated from reanalysis datasets are generally more representative of historical droughts that had occurred in eastern China than in western China. However, the performance of these five reanalysis datasets in representing the drought severity is unsatisfactory in both western China and eastern China. SPEI is generally more representative than PDSI and SPI partly because temperature and potential evapotranspiration data of reanalysis datasets are generally better than precipitation data. PDSI is also based on a supply-and-demand model of soil moisture but estimating the demand of soil moisture is complicated. Therefore, SPEI is preferred over PDSI and SPI as the drought index to characterize the meteorological droughts of China. Climate data and meteorological drought characteristics of eastern China are best represented by JRA-55, while that of western China are best represented by MERRA-2. From 1980 to 2014, statistically significant increasing trends in annual drought areas and drought severity are detected from JRA-55 and observed climate datasets in eastern China, but they are only detected from observed dataset in western China.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/125238
Appears in Collections:气候减缓与适应

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作者单位: 1.Changjiang River Sci Res Inst, Water Resources Dept, Wuhan, Hubei, Peoples R China
2.Univ Alberta, Dept Civil & Environm Engn, Edmonton, AB, Canada
3.Sun Yat Sen Univ, Dept Water Resources & Environm, Guangzhou, Guangdong, Peoples R China
4.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan, Hubei, Peoples R China
5.Yangtze Univ, Hubei Prov Key Lab Waterlogged Disaster & Wetland, Jingzhou, Peoples R China

Recommended Citation:
Chen, Shu,Gan, Thian Yew,Tan, Xuezhi,et al. Assessment of CFSR, ERA-Interim, JRA-55, MERRA-2, NCEP-2 reanalysis data for drought analysis over China[J]. CLIMATE DYNAMICS,2019-01-01,53(1-2):737-757
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