气候变化领域集成服务门户(CCPortal): Assessment of CFSR; ERA-Interim; JRA-55; MERRA-2; NCEP-2 reanalysis data for drought analysis over China

CCPortal

DOI	10.1007/s00382-018-04611-1
	Assessment of CFSR; ERA-Interim; JRA-55; MERRA-2; NCEP-2 reanalysis data for drought analysis over China
	Chen S.; Gan T.Y.; Tan X.; Shao D.; Zhu J.
发表日期	2019
ISSN	0930-7575
起始页码	737
结束页码	757
卷号	53 期号:2020-01-02
英文摘要	Five reanalysis datasets—National 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 indices—the 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. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.
英文关键词	Assessment of reanalysis datasets; Drought analysis; Palmer Drought Severity Index; Standardized Precipitation Evapotranspiration Index; Standardized Precipitation Index
语种	英语
scopus关键词	assessment method; data set; drought; evapotranspiration; precipitation assessment; prediction; standardization; China
来源期刊	Climate Dynamics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/146180
作者单位	Water Resources Department, Changjiang River Scientific Research Institute, Wuhan, China; Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB, Canada; Department of Water Resources and Environment, Sun Yat-sen University, Guangzhou, China; State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, China; Hubei Provincial Key Laboratory on Waterlogged Disaster and Wetland Agriculture, Yangtze University, Jingzhou, China
推荐引用方式 GB/T 7714	Chen S.,Gan T.Y.,Tan X.,et al. Assessment of CFSR; ERA-Interim; JRA-55; MERRA-2; NCEP-2 reanalysis data for drought analysis over China[J],2019,53(2020-01-02).
APA	Chen S.,Gan T.Y.,Tan X.,Shao D.,&Zhu J..(2019).Assessment of CFSR; ERA-Interim; JRA-55; MERRA-2; NCEP-2 reanalysis data for drought analysis over China.Climate Dynamics,53(2020-01-02).
MLA	Chen S.,et al."Assessment of CFSR; ERA-Interim; JRA-55; MERRA-2; NCEP-2 reanalysis data for drought analysis over China".Climate Dynamics 53.2020-01-02(2019).