Comparisons on RIEMS 2.0's Ability to Simulate Multi—Year Mean Climate in Northern China with Two Model Domains
Comparisons on RIEMS 2.0's Ability to Simulate Multi—Year Mean Climate in Northern China with Two Model Domains
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DOI：
10.1080/16742834.2009.11446828
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发表时间：
2009-01
影响因子：
2.3
通讯作者：
Zhao De-Ming;Fu Congbin
中科院分区：
文献类型：
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作者：
Zhao De-Ming;Fu Congbin
中国科学院东亚温带区域气候环境重点实验室正在研制区域综合环境模拟系统2.0（RIEMS 2.0）。为了检验RIEMS 2.0模式区域对长期气候及其变化模拟的敏感性，为模式的进一步发展和应用提供依据，采用不同积云参数化方案，比较了两个模式区域对降水和地面气温的模拟和观测结果。该模型由NCEP/NCAR再分析数据驱动，模拟持续时间为1979年1月1日至2007年12月31日。两个模式区域的降水量和地面气温的空间分布及年际变化均无显著差异。然而，在局部次区域的两个模型域模拟之间观察到了差异。较小的模式域更准确地模拟降水，特别是在夏季（6月，7月和8月），并减少地面气温的偏差，特别是在冬季（12月，1月和2月）。较小的模式区域模拟的弱的夏季风和冬季风是边界强迫的结果，并可能部分地解释了这个模式的改进。
Abstract Regional Integrated Environment Modeling System Version 2.0 (RIEMS2.0) is now being developed by the Key Laboratory of Regional Climate—Environment for Temperate East Asia, Chinese Academy of Sciences. In order to test the sensitivity of the RIEMS2.0 model domain to simulate long—term climate and its change, and provide a basis for the further development and application of the model, the authors compared results between simulated and observed precipitation and surface—air—temperature using two model domains under different cumulus parameterization schemes. The model was driven by NCEP/NCAR reanalysis data with a simulation duration ranging from 1 January 1979 to 31 December 2007. There were no significant differences found in the spatial distributions of the simulated precipitation and surface—air—temperature, or interannual variations between the two model domains. There were, however, differences observed between the two model domain simulations of local sub—regions. The smaller model domain more accurately simulated precipitation, especially in summer (June, July, and August), and decreased the bias of surface—air—temperature, especially in winter (December, January, and February). The weak summer and winter monsoons simulated by the smaller model domain was a result of boundary forcings and may partially account for the improvements of this model.