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Performance of Regional Integrated Environment Modeling System (RIEMS) in the Simulation of Surface Air Temperature over East Asia
作者姓名:ZHAO  De-Ming
基金项目:supported by the National Basic Research Program of China under Grant 2011CB952003;the Chinese Academy of Sciences Strategic Priority Program under Grant XDA05090206;the National Natural Science Foundation of China under Grant 40975053
摘    要:Regional climate models (RCMs) have the potential for more detailed surface characteristic and mesoscale modeling results than general circulation models (GCMs).These advantages have drawn significant focus on RCM development in East Asia.The Regional Integrated Environment Modeling System,version 2.0 (RIEMS2.0),has been developed from an earlier RCM,RIEMS1.0,by the Key Laboratory of Regional ClimateEnvironment for Temperate East Asia (RCE-TEA) and Nanjing University.A numerical experiment covering 1979 to 2008 (simulation duration from 1 January 1978 to 31 December 2008) with a 50-km spatial resolution was performed to test the ability of RIEMS2.0 to simulate long-term climate and climate changes in East Asia and to provide a basis for further development and applications.The simulated surface air temperature (SAT) was compared with observed meteorological data.The results show that RIEMS2.0 simulation reproduced the SAT spatial distribution in East Asia but that it was underestimated.The simulated 30-year averaged SAT was approximately 2.0°C lower than the observed SAT.The annual and interannual variations in the averaged SAT and their anomalies were both well reproduced in the model.A further analysis of three sub-regions representing different longitudinal ranges showed that there is a good correlation and consistency between the simulated results and the observed data.The annual variations,interannual variations for the averaged SAT,and the anomalies in the three sub-regions were also captured well by the model.In summary,RIEMS2.0 shows stability and does well both in simulating the long-term SAT in East Asia and in expressing sub-regional characteristics.

关 键 词:RIEMS2.0  surface  air  temperature  climate  simulation  ability

Performance of Regional Integrated Environment Modeling System (RIEMS) in the Simulation of Surface Air Temperature over East Asia
ZHAO De-Ming.Performance of Regional Integrated Environment Modeling System (RIEMS) in the Simulation of Surface Air Temperature over East Asia[J].Atmospheric and Oceanic Science Letters,2012,5(2):145-150.
Authors:ZHAO De-Ming
Institution:Key Laboratory of Regional Climate-Environment for Temperate East Asia, Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences (CAS), Beijing 100029, China
Abstract:Regional climate models (RCMs) have the potential for more detailed surface characteristic and mesoscale modeling results than general circulation models (GCMs). These advantages have drawn significant focus on RCM development in East Asia. The Regional Integrated Environment Modeling System, version 2.0 (RIEMS2.0), has been developed from an earlier RCM, RIEMS1.0, by the Key Laboratory of Regional Climate-Environment for Temperate East Asia (RCE-TEA) and Nanjing University. A numerical experiment covering 1979 to 2008 (simulation duration from 1 January 1978 to 31 December 2008) with a 50-km spatial resolution was performed to test the ability of RIEMS2.0 to simulate long-term climate and climate changes in East Asia and to provide a basis for further development and applications. The simulated surface air temperature (SAT) was compared with observed meteorological data. The results show that RIEMS2.0 simulation reproduced the SAT spatial distribution in East Asia but that it was underestimated. The simulated 30-year averaged SAT was approximately 2.0°C lower than the observed SAT. The annual and interannual variations in the averaged SAT and their anomalies were both well reproduced in the model. A further analysis of three sub-regions representing different longitudinal ranges showed that there is a good correlation and consistency between the simulated results and the observed data. The annual variations, interannual variations for the averaged SAT, and the anomalies in the three sub-regions were also captured well by the model. In summary, RIEMS2.0 shows stability and does well both in simulating the long-term SAT in East Asia and in expressing sub-regional characteristics.
Keywords:RIEMS2  0  surface air temperature  climate  simulation ability
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