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A High-Resolution Simulation of the Year 2003 for Germany Using the Regional Model COSMO

机译:使用区域模型COSMO对2003年德国进行的高分辨率模拟

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In this article, the authors examine the effect of a high-resolution grid (grid resolution lower than 3 km) in the context of a realistic climate simulation. For this purpose global simulation results of the German Weather Service were dynamically downscaled in a one-way nesting approach to 2.8 km using the regional forecast model of the Consortium for Small-Scale Modeling (COSMO) of the German Weather Service. The simulations were performed for the region of central Europe in 2003. In particular, the authors investigate whether COSMO adequately handles extreme events such as the persistent drought and heat of the summer of 2003. Comparisons of the simulated atmospheric conditions in terms of 2-m temperature, mean sea level pressure, and precipitation demonstrated a good correspondence to their associated observational data. Simulation results and observed data are both given as time series at locations such as grid cells or station locations. By cluster analysis a representation of the spatial structure for observation data and simulation results is found. The kappa statistic evaluates how well the two spatial structures correspond to each other. The different kappa variants are helpful to diagnose where shortcomings of the simulation results are located.
机译:在本文中,作者在现实的气候模拟背景下研究了高分辨率网格(网格分辨率低于3 km)的影响。为此,使用德国气象局小规模模型联盟(COSMO)的区域预报模型,通过单向嵌套方法将德国气象局的全球模拟结果动态缩小为2.8公里。在2003年对中欧地区进行了模拟。特别是,作者调查了COSMO是否足以处理极端事件,例如2003年夏天的持续干旱和高温。模拟大气条件的2 m温度,平均海平面压力和降水与相关的观测数据显示出良好的对应关系。仿真结果和观测数据都以时间序列的形式在诸如网格单元或站点位置之类的位置给出。通过聚类分析,发现了观测数据和模拟结果的空间结构。 kappa统计量评估两个空间结构相互对应的程度。不同的kappa变体有助于诊断模拟结果的缺点所在。

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