Based on daily precipitation data of 119 weather stations over Inner Mongolia in 2018,the adaptability of six sets of precipitation data( GLDAS2.1,ITPCAS,CLDAS2.0,CMPAS2.0 ERA5 and CMPAS2.1) in Inner Mongolia was eval...Based on daily precipitation data of 119 weather stations over Inner Mongolia in 2018,the adaptability of six sets of precipitation data( GLDAS2.1,ITPCAS,CLDAS2.0,CMPAS2.0 ERA5 and CMPAS2.1) in Inner Mongolia was evaluated and analyzed by using Pearson correlation coefficient( R),mean deviation( Bias) and root mean square error( RMSE).The results indicate that the six sets of precipitation data could well reflect the spatial and temporal variation of precipitation over Inner Mongolia.On a ten-day scale,the mean deviation of CMPAS2.1 had a smaller variation,which slightly underestimated precipitation;the mean deviation of CLDAS2.0 had a smaller variation in the eastern region;the mean deviation of both ITPCAS and CMPAS2.0 was more stable in the central region than in the eastern and western regions;the mean deviation of GLDAS2.1 and ERA5 had a relatively larger variation,and ERA5 overestimated precipitation to a certain extent;the root mean square error of CMPAS2.1 had the smallest variation,whereas that of ERA5 was relatively larger.The monthly scale was similar to the ten-day scale.The correlation coefficient of the six sets of precipitation data in the central region was better than that in the east and west,and the mean deviation and root mean square error were relatively larger in areas with more complex mountain topography.According to statistical indicators,CMPAS2.1 performed better in Inner Mongolia than other five sets of data.展开更多
基金Supported by Special Project for MonitoringEarly Warning and Prevention of Major Natural Disasters of National Key Research and Development Plan(2018YFC1506606)Science and Technology Innovation Project of Inner Mongolia Autonomous Region Meteorological Bureau (nmqxkjcx202112)。
文摘Based on daily precipitation data of 119 weather stations over Inner Mongolia in 2018,the adaptability of six sets of precipitation data( GLDAS2.1,ITPCAS,CLDAS2.0,CMPAS2.0 ERA5 and CMPAS2.1) in Inner Mongolia was evaluated and analyzed by using Pearson correlation coefficient( R),mean deviation( Bias) and root mean square error( RMSE).The results indicate that the six sets of precipitation data could well reflect the spatial and temporal variation of precipitation over Inner Mongolia.On a ten-day scale,the mean deviation of CMPAS2.1 had a smaller variation,which slightly underestimated precipitation;the mean deviation of CLDAS2.0 had a smaller variation in the eastern region;the mean deviation of both ITPCAS and CMPAS2.0 was more stable in the central region than in the eastern and western regions;the mean deviation of GLDAS2.1 and ERA5 had a relatively larger variation,and ERA5 overestimated precipitation to a certain extent;the root mean square error of CMPAS2.1 had the smallest variation,whereas that of ERA5 was relatively larger.The monthly scale was similar to the ten-day scale.The correlation coefficient of the six sets of precipitation data in the central region was better than that in the east and west,and the mean deviation and root mean square error were relatively larger in areas with more complex mountain topography.According to statistical indicators,CMPAS2.1 performed better in Inner Mongolia than other five sets of data.
