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COSMO-CLM regional climate simulations in the Coordinated Regional Climate Downscaling Experiment (CORDEX) framework: a review

机译:COSMO-CLM区域气候模拟在协调区域气候镇压实验(CORDEX)框架:审查

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In the last decade, the Climate Limited-area Modeling Community (CLM-Community) has contributed to the Coordinated Regional Climate Downscaling Experiment (CORDEX) with an extensive set of regional climate simulations. Using several versions of the COSMO-CLM-Community model, ERA-Interim reanalysis and eight global climate models from phase?5 of the Coupled Model Intercomparison Project (CMIP5) were dynamically downscaled with horizontal grid spacings of 0.44 ° ( ~ ?50?km), 0.22 ° ( ~ ?25?km), and 0.11 ° ( ~ ?12?km) over the CORDEX domains Europe, South Asia, East Asia, Australasia, and Africa. This major effort resulted in 80 regional climate simulations publicly available through the Earth System Grid Federation (ESGF) web portals for use in impact studies and climate scenario assessments. Here we review the production of these simulations and assess their results in terms of mean near-surface temperature and precipitation to aid the future design of the COSMO-CLM model simulations. It is found that a domain-specific parameter tuning is beneficial, while increasing horizontal model resolution (from 50 to 25 or 12?km grid spacing) alone does not always improve the performance of the simulation. Moreover, the COSMO-CLM performance depends on the driving data. This is generally more important than the dependence on horizontal resolution, model version, and configuration. Our results emphasize the importance of performing regional climate projections in a coordinated way, where guidance from both the global (GCM) and regional (RCM) climate modeling communities is needed to increase the reliability of the GCM–RCM modeling chain.
机译:在过去的十年中,气候有限公地建模社区(CLM社区)为协调区域气候镇压实验(Cordex)有着广泛的区域气候模拟。使用几个版本的COSMO-CLM-Community模型,ERA-Instim Reanalysic和来自耦合型号相互比较项目(CMIP5)的阶段的八个全球气候模型,水平网格间距为0.44°(〜50Ωkm ),0.22°(〜25 km),和0.11°(〜?12 km)欧洲,南亚,东亚,澳大利亚和非洲。这项主要努力导致80个区域气候模拟通过地球系统网格联合会(ESGF)网站,用于影响研究和气候情景评估。在这里,我们审查这些模拟的生产,并在平均近表面温度和降水方面评估它们的结果,以帮助未来的COSMO-CLM模型模拟设计。结果发现,特定于域的参数调谐是有益的,同时仅增加水平模型分辨率(从50到25或12?KM网格间隔)并不总是提高模拟的性能。此外,COSMO-CLM性能取决于驾驶数据。这通常比对水平分辨率,模型版本和配置的依赖性更重要。我们的成果强调以协调方式执行区域气候预测的重要性,其中全球(GCM)和区域(RCM)气候建模社区需要推动GCM-RCM建模链的可靠性。

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