摘要
A continuous 10-year simulation in Asia for the period of 1 July 1988 to 31 December 1998 was conducted using the Regional Integrated Environmental Model System （RIEMS） with NCEP Reanalysis II data as the driving fields. The model processes include surface physics state package （BATS le）, a Holtslag explicit planetary boundary layer formulation, a Grell cumulus parameterization, and a modified radiation package （CCM3）. Model-produced surface temperature and precipitation axe compared with observations from 1001 meteorology stations distributed over Asia and with the 0.5° × 0.5° CRU gridded dataset. The analysis results show that： （1） RIEMS reproduces well the spatial pattern and the seasonal cycle of surface temperature and precipitation; （2） When regionally averaged, the seasonal mean temperature biases are within 1-2℃. For precipitation, the model tends to give better simulation in winter than in summer, and seasonal precipitation biases are mostly in the range of - 12%-50%; （3） Spatial correlation coefficients between observed and simulated seasonal precipitation are higher in north of the Yangtze River than in the south and higher in winter than in summer; （4） RIEMS can well reproduce the spatial pattern of seasonal mean sea level pressure. In winter, the model-simulated Siberian high is stronger than the observed. In summer, the simulated subtropical high is shifted northwestwards; （5） The temporal evolution of the East Asia summer monsoon rain belt, with steady phases separated by more rapid transitions, is reproduced.
A continuous 10-year simulation in Asia for the period of 1 July 1988 to 31 December 1998 was conducted using the Regional Integrated Environmental Model System （RIEMS） with NCEP Reanalysis II data as the driving fields. The model processes include surface physics state package （BATS le）, a Holtslag explicit planetary boundary layer formulation, a Grell cumulus parameterization, and a modified radiation package （CCM3）. Model-produced surface temperature and precipitation axe compared with observations from 1001 meteorology stations distributed over Asia and with the 0.5° × 0.5° CRU gridded dataset. The analysis results show that： （1） RIEMS reproduces well the spatial pattern and the seasonal cycle of surface temperature and precipitation; （2） When regionally averaged, the seasonal mean temperature biases are within 1-2℃. For precipitation, the model tends to give better simulation in winter than in summer, and seasonal precipitation biases are mostly in the range of - 12%-50%; （3） Spatial correlation coefficients between observed and simulated seasonal precipitation are higher in north of the Yangtze River than in the south and higher in winter than in summer; （4） RIEMS can well reproduce the spatial pattern of seasonal mean sea level pressure. In winter, the model-simulated Siberian high is stronger than the observed. In summer, the simulated subtropical high is shifted northwestwards; （5） The temporal evolution of the East Asia summer monsoon rain belt, with steady phases separated by more rapid transitions, is reproduced.
