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Changes in severe indices as simulated by two French coupled global climate models

机译:由两个法国耦合的全球气候模型模拟的严重指数变化

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Extremes are assessed here in an attempt to validate the two French models in their representation of the second part of the 20th century, using different sources of gridded observational datasets. Models show some ability to simulate extremal behaviour of the climate even if discrepancies are noticeable between models and observations. These may be partly due to the low resolution used for the present study simulations. Extreme indices, calculated using the STARDEX (STAtistical and Regional dynamical Downscaling of Extremes for European regions) methodology, are investigated in different IPCC (International Panel on Climate Change) scenarios performed by the French community. Investigation of 21st century severe indices simulated in these simulations shows some interesting features. In some parts of the world, extreme temperatures experience a more rapid increase than the mean, suggesting that the Power Density Function (PDF) may not only be shifted toward higher temperatures but also changed in its shape. Extremes of precipitation also experience a change toward more intense precipitation events in winter and longer dry events in summer. Approaching future changes in extreme indices through their relationship to mean annual temperature may be a useful approach in multi-model studies, since it provides a measure of the sensitivity of extremes to warming conditions in these models.
机译:为了评估这两个法国模型在20世纪下半叶的代表性,此处使用不同的网格化观测数据源进行了评估。即使模型与观测值之间的差异明显,模型仍具有模拟气候极端行为的能力。这些可能部分归因于本研究模拟所使用的低分辨率。在法国社区执行的不同IPCC(国际气候变化专门委员会)方案中,研究了使用STARDEX(欧洲地区极端地区的统计和区域动态降尺度)方法计算得出的极端指数。在这些模拟中对21世纪严重指数进行的调查显示了一些有趣的功能。在世界上的某些地区,极端温度的升高速度比平均值高得多,这表明功率密度函数(PDF)可能不仅会移向更高的温度,而且还会改变其形状。极端降水也经历了向冬季更强烈的降水事件和夏季更长的干旱事件的转变。通过其与年平均气温的关系来估算极端指数的未来变化可能是多模型研究中的一种有用方法,因为它可以测量这些模型中极端因素对变暖条件的敏感性。

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