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Assessment of CFSR, ERA-lnterim, JRA-55, MERRA-2, NCEP-2 reanalysis data for drought analysis over China

机译:CFSR,ERA-Interim,JRA-55,MERRA-2,NCEP-2再分析数据的评估,用于中国的干旱分析

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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.
机译:五个再分析数据集国家环境预测再分析中心II(NCEP-2),NCEP气候预测系统再分析(CFSR),欧洲中距离天气预报中心(ECMWF)临时重新分析(ERA-Interim),日本55年重新分析项目( (JRA-55)和国家航空航天局(NASA)的研究和应用现代时代再分析第2版(MERRA-2)被选为使用三个干旱指数,帕尔默干旱严重度指数(PDSI),标准化的中国气象干旱降水指数(SPI)和标准降水蒸散指数(SPEI)。利用纳什-苏特克里夫效率(NSE),相关系数和时间序列分析,根据从这些再分析数据集估算的中国干旱指数,干旱地区和干旱严重程度,与从观测到的中国气候数据集获得的相应结果进行了评估。此外,还将五个再分析数据集的温度,降水和潜在蒸散数据与观测数据集进行了比较。从再分析数据集估计的干旱指数和干旱地区通常比东部地区更能代表中国东部发生的历史干旱。但是,这五个再分析数据集在代表干旱严重程度方面的表现在中国西部和中国东部均不令人满意。 SPEI通常比PDSI和SPI更具代表性,部分原因是重新分析数据集的温度和潜在蒸散数据通常要好于降水数据。 PDSI也是基于土壤水分的供需模型,但是估算土壤水分的需求很复杂。因此,SPEI优于PDSI和SPI作为干旱指数来表征中国的气象干旱。东部地区的气候数据和气象干旱特征最好用JRA-55表示,而西部地区的气候数据和气象干旱特征最好用MERRA-2表示。从1980年到2014年,从JRA-55和中国东部观测到的气候数据集中发现了年度干旱地区和干旱严重程度的统计显着增长趋势,但仅从中国西部观测到的数据中发现了这些趋势。

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