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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >Projected changes in European extreme precipitation indices on the basis of global and regional climate model ensembles
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Projected changes in European extreme precipitation indices on the basis of global and regional climate model ensembles

机译:基于全球和区域气候模型集合的欧洲极端降水指数的预计变化

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As both global (GCM) and regional (RCM) climate models have their own advantages, the most comprehensive picture of changes in precipitation and their uncertainty ranges can be achieved by comparing the results of both model categories. Here we have evaluated seasonal changes in indices representing excess or scarcity of precipitation in Europe on the basis of simulations performed with ten GCMs with a reasonably high spatial resolution and, for comparison, with five RCMs driven by one and the same GCM. We found no fundamental differences between the GCMs and RCMs in the projected tendency towards a more extreme precipitation climate, characterized by increases both in indices representing wet conditions and also dry conditions. Most evidently in the Northern European summer and Southern European winter, the differences in the responses of the various indices between the present sets of GCMs and RCMs could be explained by the dissimilar changes in seasonal mean precipitation. The scatter among the projected changes was in general much smaller for the RCM than for the GCM simulations. The projections of individual RCMs mainly fall within the interval determined by the GCM projections. This indicates that the GCM ensemble yielded more comprehensive estimates for the uncertainty ranges in the extreme precipitation indices.
机译:由于全球(GCM)和区域(RCM)气候模型都有其自身的优势,因此可以通过比较两个模型类别的结果来获得最全面的降水变化及其不确定性范围的图景。在这里,我们根据十个具有较高空间分辨率的GCM进行的模拟评估了代表欧洲降水过多或稀缺的指数的季节性变化,并进行了比较,以一个相同GCM驱动的五个RCM进行了比较。我们没有发现GCM和RCM之间在更加趋向极端的降水气候的预测趋势方面没有根本差异,其特征在于代表湿润条件和干燥条件的指数均增加。最明显的是在北欧夏季和南欧冬季,目前的GCM和RCM之间不同指标响应的差异可以用季节平均降水量的不同变化来解释。通常,RCM的预计更改之间的分散程度比GCM模拟的分散范围小得多。单个RCM的投影主要落在GCM投影确定的区间内。这表明,GCM集合对极端降水指数的不确定性范围给出了更全面的估计。

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