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Extreme temperature and precipitation events over Italy: assessment of high-resolution simulations with COSMO-CLM and future scenarios

机译:意大利上空的极端温度和降水事件:使用COSMO-CLM和未来情景评估高分辨率模拟

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摘要

This study presents a detailed analysis of the present and expected future extreme climate conditions over Italy through the use of some extreme indicators. Climate data for this analysis were provided by the regional climate model COSMO-CLM, using different grid spacing to ascertain the real importance of using higher resolution climate data, especially over such a complex topography as Italy. Four simulations were carried out at spatial resolutions of 0.125 degrees and 0.0715 degrees, driven by ERA-Interim Reanalysis and the CMCC-CM global model. We investigated the ability of the model to represent realistically the climatology of a subset of climate indicators defined by the Expert Team on Climate Change Detection and Indices (ETCCDI) for precipitation and temperature. Several high-resolution observational data sets available over some Italian regions were therefore used in order to offset the limited number of observations available over Italy in the E-OBS data set and its coarse grid. We found that the increase in resolution could have interesting benefits in representing such extreme indices, especially in the more orographically complex areas. Finally, we investigated future climate changes regarding extreme weather events expected under anthropogenic climate change scenarios, employing the IPCC RCP4.5 and RCP8.5 greenhouse gas concentrations, showing that such events are expected to increase over Italy.
机译:这项研究通过使用一些极端指标,对意大利目前和未来的极端气候条件进行了详细分析。该分析的气候数据由区域气候模型COSMO-CLM提供,使用不同的网格间距来确定使用高分辨率气候数据的真正重要性,尤其是在意大利这样复杂的地形上。在ERA-临时再分析和CMCC-CM全局模型的驱动下,以0.125度和0.0715度的空间分辨率进行了四个模拟。我们调查了该模型实际代表由降水量和温度的气候变化检测和指数专家组(ETCCDI)定义的一部分气候指标的气候的能力。因此,使用了一些在意大利一些地区可获得的高分辨率观测数据集,以抵消E-OBS数据集及其粗网格中在意大利可获得的有限数量的观测数据。我们发现,分辨率的提高可能对代表这样的极端指数具有有趣的好处,尤其是在地形复杂的地区。最后,我们使用IPCC RCP4.5和RCP8.5温室气体浓度调查了在人为气候变化情景下预期的极端天气事件的未来气候变化,表明此类事件预计将在意大利范围内增加。

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