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A Variable-Resolution Stretched-Grid General Circulation Model and Data Assimilation System with Multiple Areas of Interest: Studying the Anomalous Regional Climate Events of 1998

机译:具有多个关注区域的可变分辨率伸展网格总环流模型和数据同化系统:研究1998年区域气候异常事件

摘要

The new stretched-grid design with multiple (four) areas of interest, one at each global quadrant, is implemented into both a stretched-grid GCM (general circulation model) and a stretched-grid data assimilation system (DAS). The four areas of interest include: the U.S./Northern Mexico, the El Nino area/Central South America, India/China, and the Eastern Indian Ocean/Australia. Both the stretched-grid GCM and DAS annual (November 1997 through December 1998) integrations are performed with 50 km regional resolution. The efficient regional down-scaling to mesoscales is obtained for each of the four areas of interest while the consistent interactions between regional and global scales and the high quality of global circulation, are preserved. This is the advantage of the stretched-grid approach. The global variable resolution DAS incorporating the stretched-grid GCM has been developed and tested as an efficient tool for producing regional analyses and diagnostics with enhanced mesoscale resolution. The anomalous regional climate events of 1998 that occurred over the U.S., Mexico, South America, China, India, African Sahel, and Australia are investigated in both simulation and data assimilation modes. Tree assimilated products are also used, along with gauge precipitation data, for validating the simulation results. The obtained results show that the stretched-grid GCM and DAS are capable of producing realistic high quality simulated and assimilated products at mesoscale resolution for regional climate studies and applications.
机译:具有多个(四个)关注区域(每个全局象限一个区域)的新拉伸网格设计已在拉伸网格GCM(通用循环模型)和拉伸网格数据同化系统(DAS)中实现。四个感兴趣的领域包括:美国/北墨西哥,厄尔尼诺地区/中南美洲,印度/中国和东印度洋/澳大利亚。 GCM和DAS年度网格(1997年11月至1998年12月)的合并都是以50 km的区域分辨率进行的。对于四个感兴趣的领域中的每个领域,都获得了有效的区域缩减到中等规模,同时保持了区域和全球规模之间的一致相互作用以及全球流通的高质量。这是拉伸网格方法的优点。已开发并测试了包含扩展网格GCM的全局可变分辨率DAS,并将其作为有效工具来生成具有增强的中尺度分辨率的区域分析和诊断。以模拟和数据同化模式研究了1998年美国,墨西哥,南美,中国,印度,非洲萨赫勒和澳大利亚发生的区域气候异常事件。树木同化产品也与雨量计数据一起用于验证模拟结果。所得结果表明,拉伸网格GCM和DAS能够以中尺度分辨率生产现实的高质量模拟和同化产品,用于区域气候研究和应用。

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