Application of ClimateWeather Research and Forecasting Model(CWRF) in China: Domain Optimization
Application of ClimateWeather Research and Forecasting Model(CWRF) in China: Domain Optimization
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发表时间：
2008
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通讯作者：
L. Shu;Liangjie Xin;Zhang Hua;B. Monitoring
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作者：
L. Shu;Liangjie Xin;Zhang Hua;B. Monitoring
区域气候模式应用中的一个主要问题是计算区域的设计问题，为了优化模式的性能，需要对计算区域进行局部化处理。本研究通过物理过程理解和数值敏感性研究，对美国伊利诺伊大学厄巴纳-香槟分校伊利诺伊州水资源调查局开发的气候-天气研究与预报模式（CWRF）在中国的应用进行了区域优化研究。首先，通过对观测资料的相关分析，找出了控制中国降水变化的大尺度环流过程的关键区，通过比较两个观测再分析资料，确定了强迫资料误差较大或不确定性较大的贫困区，并选择了最佳区域，使得横向边界缓冲区包含关键过程区通过对1998年中国夏季特大洪水模拟的敏感性研究，对CWRF的选择进行了评价，结果表明，采用最佳区域的CWRF能最真实地模拟降水结果表明，区域气候模拟中区域设计的重要性，尤其是当南部缓冲区延伸到热带地区时，模拟效果明显下降，而当西部和东部缓冲区远离关键过程区时，模拟效果进一步下降。
A primary issue for applying a regional climate model is the computational domain design,where localization is necessary to optimize the model performance.This study focuses on the domain optimization for application of the Climate-Weather Research and Forecasting Model(CWRF),developed by Illinois State Water Survey,University of Illinois at Urbana-Champaign,in China through physical process understanding and numerical sensitivity study.First,correlation analysis of observational data is conducted to identify the key regions of large-scale circulation processes that govern China precipitation variations,and two observational reanalysis data are compared to determine the poor areas where large forcing data errors or uncertainties occur.The optimal domain is chosen such that the lateral boundary buffer zones contain the key process regions and avoid the poor data areas to accurately integrate the planetary and synoptic forcing signals while enabling the CWRF to realistically generate its own mesoscale circulation within the domain interior.This domain choice is then evaluated by a sensitivity study of the CWRF ability in simulating the 1998 summer extreme flood in China.It is demonstrated that the CWRF using the optimal domain most realistically reproduces the observed precipitation temporal evolutions and spatial patterns.The performance,however,is substantially reduced when the southern buffer zone extends to the Tropics where large driving data errors exist,and further degraded if the western and eastern buffer zones are also positioned away from the key process regions.The result indicates the great importance of the domain design in the regional climate modeling.