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首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Time invariant boundary data of regional climate models COSMO-CLM and WRF and their application in COSMO-CLM
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Time invariant boundary data of regional climate models COSMO-CLM and WRF and their application in COSMO-CLM

机译:区域气候模型COSMO-CLM和WRF的时不变边界数据及其在COSMO-CLM中的应用

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摘要

Basic time invariant boundary parameters, such as topography, land use, soil texture, and derived vegetation and soil properties as defined in the regional climate models Consortium for Small-scale Modeling in Climate Mode (CCLM), and the Weather Research and Forecasting Model (WRF), are investigated in terms of their applicability. The focus is on the comparison of the four available data sets and the investigation of their influences on actual CCLM simulations. Several runs of the CCLM model with National Centers for Environmental Prediction (NCEP) and ERA40 boundary forcings in the Mediterranean Coordinated Regional Climate Downscaling Experiment indicate that the investigated data sets are suitable for the considered region. The variations introduced by the different time invariant boundary data are within the range of the variations resulting from different driving reanalysis data, but lower than the differences obtained in intermodel evaluations, e.g., in Prediction of Regional scenarios and Uncertainties for Defining European Climate Change Risks and Effects (PRUDENCE) and Ensembles-based predictions of climate changes and their impacts (ENSEMBLES). The variation in the monthly mean values resulting from differences in the land use, topography, and soil data are up to 1.1 K in the area average monthly mean temperature and up to 17% of the observed value of the area average monthly precipitation. The study indicates that CCLM would benefit from further improvements of the time invariant boundary data, especially the soil texture data.
机译:基本时不变边界参数,例如地形,土地利用,土壤质地以及衍生的植被和土壤特性,这些均在区域气候模型气候模式小规模联合会(CCLM)和天气研究与预测模型( WRF)的适用性进行了研究。重点是比较四个可用数据集,并研究它们对实际CCLM模拟的影响。通过CCLM模型与国家环境预测中心(NCEP)和ERA40边界强迫在地中海协调区域气候降尺度实验中的多次运行表明,所研究的数据集适用于所考虑的区域。不同时不变边界数据引入的变化在不同驾驶重新分析数据导致的变化范围内,但低于模型间评估中获得的差异,例如,在区域情景预测和欧洲气候变化风险的不确定性预测中的差异。基于影响(基于PRUDENCE)和基于集合的气候变化及其影响的预测(基于ENSEMBLES)。由土地利用,地形和土壤数据的差异引起的月平均值变化在区域平均每月平均温度上高达1.1 K,并且是区域平均每月降水的观测值的17%。研究表明,CCLM将受益于时不变边界数据,尤其是土壤质地数据的进一步改进。

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