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Sensitivity of Selected ETCCDI Climate Indices from the Calculation Method for Projected Future Climate

机译:从项目未来气候计算方法中所选ETCCDI气候指标的敏感性

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Statistical bias correction of climate models' outputs is being increasingly used in the recent decade for assessing the impact of climate change on several sectors. In this study, output from simulations for the present-day (1961-1990) climate, as well as for the near future scenario (2021-2050), performed with ALADIN-Climate in the frame of the CECILIA project, are used for calculation of selected ETCCDI climate indices. The same subset, but based on observational database E-OBS, is taken from the open archive ClimData and used as reference. The results of the computations, performed over the interior of the Balkan Peninsula, demonstrates the possibilities of the delta-change approach and its modifications. The outcome from the study confirms the high sensitivity of the absolute-threshold indices from the applied bias corrections. Overall, the sign of the change caused by all of the applied methods, agrees with the consolidated outcome from the recent studies of the projected future climate in SE Europe. The general distribution pattern of the climate change signal, expressed with the thermal indices, is similar for all considered techniques. This signal shows, however, in the field of the precipitation-based indices, significant spatial irregularities and non-negligible differences depending on the method applied.
机译:最近十年来评估气候变化对若干部门的影响,气候模型的统计偏差越来越多地使用。在本研究中,在塞西莉亚项目框架中使用Aladin-Climations进行的当天(1961-1990)气候以及近期场景(2021-2050)的模拟输出用于计算选定的ETCCDI气候指标。相同的子集,但基于观察数据库E-OBS,从开放的归档ClimData取出并用作参考。在巴尔干半岛的内部执行的计算结果展示了三角形改变方法的可能性及其修改。该研究的结果证实了绝对阈值指数从应用的偏压校正的高灵敏度。总体而言,所有应用方法造成的变革的迹象,同意最近对欧洲预计未来气候研究的综合结果。与热索引表示的气候变化信号的一般分布模式类似于所有考虑的技术。然而,该信号在沉淀的索引的领域中,根据所施加的方法,显着的空间不规则性和不可忽略的差异。

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