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Assessing future changes in seasonal climatic extremes in the Ganges river basin using an ensemble of regional climate models

机译:使用区域气候模型集合评估恒河流域季节性气候极端事件的未来变化

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Using an ensemble of four high resolution (similar to 25 km) regional climate models, this study analyses the future (2021-2050) spatial distribution of seasonal temperature and precipitation extremes in the Ganges river basin based on the SRES A1B emissions scenario. The model validation results (1989-2008) show that the models simulate seasonality and spatial distribution of extreme temperature events better than precipitation. The models are able to capture fine topographical detail in the spatial distribution of indices based on their ability to resolve processes at a higher regional resolution. Future simulations of extreme temperature indices generally agree with expected warming in the Ganges basin, with considerable seasonal and spatial variation. Significantly warmer summers in the central part of the basin along with basin-wide increase in night temperature are expected during the summer and monsoon months. An increase in heavy precipitation indices during monsoon, coupled with extended periods without precipitation during the winter months; indicates an increase in the incidence of extreme events.
机译:本研究使用四个高分辨率(约25 km)的区域气候模型集合,根据SRES A1B排放情景分析了恒河流域未来(2021-2050)季节性温度和极端降水的空间分布。模型验证结果(1989-2008年)显示,该模型比降水更好地模拟了极端温度事件的季节性和空间分布。这些模型能够以较高的区域分辨率解析过程,因此能够在索引的空间分布中捕获精细的地形细节。未来极端温度指数的模拟通常与恒河盆地预期的变暖相符,并且季节和空间变化很大。预计在夏季和季风月份,流域中部的夏季将明显变暖,整个盆地的夜间温度将升高。季风期间强降水指数增加,而冬季则长时间无降水;表示极端事件的发生率增加。

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