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Study of storm weather situations in observation and ECHAM3/T42 model simulation

机译:观测中的暴风雨天气研究和ECHAM3 / T42模型仿真

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摘要

In this paper, we provide an estimation of the seasonal distribution of strong wind and storm weather situations in an ECHAM3/T42 climate model simulation in relation to observed conditions. Observational data of the German Eight and the southern Baltic Sea are taken to compare observations and climate model simulation. The results of the study show significant differences in the seasonal Frequency of occurrence for strong wind and storm weather situations between simulation and observations. A new objective classification routine for detecting single strong wind and storm weather situations (Bft 7 and more) in coarse resolution models is used to validate the large-scale parameters of those events in the climate simulation. The objective classification routine is able to detect strong wind and storm weather situations of two flow regimes in the German Eight in winter. The routine is applied to the ECMWF Re-Analysis (T42 resolution) and to a climate simulation of the northern Hemisphere, which was performed with the ECHAM3/T42. It is shown that the large-scale parameters of single strong wind and storm weather situations are simulated quire realistically in the ECHAM3/T42.
机译:在本文中,我们提供了ECHAM3 / T42气候模型模拟中与观测条件相关的强风和风暴天气情况的季节性分布估计。德国八号和波罗的海南部的观测数据被用来比较观测和气候模型模拟。研究结果表明,模拟和观测结果之间在强风和暴风雨天气情况下的季节性发生频率存在显着差异。一种新的客观分类例程,用于在粗分辨率模型中检测单个强风和暴风雨天气情况(Bft 7及更高),以在气候模拟中验证那些事件的大规模参数。客观分类程序能够检测冬季德国8号中两个流态的强风和暴风雨天气情况。该例程适用于ECMWF重新分析(T42分辨率)和北半球的气候模拟,该模拟是使用ECHAM3 / T42进行的。结果表明,在ECHAM3 / T42中,实际需要模拟单个强风和暴风雨天气情况的大规模参数。

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