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Attributing the 2017 Bangladesh floods from meteorological and hydrological perspectives

机译:归因于2017年孟加拉国洪水的气象和水文观点

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In August 2017 Bangladesh faced one of its worst river flooding events in recent history. This paper presents, for the first time, an attribution of this precipitation-induced flooding to anthropogenic climate change from a combined meteorological and hydrological perspective. Experiments were conducted with three observational datasets and two climate models to estimate changes in the extreme 10-day precipitation event frequency over the Brahmaputra basin up to the present and, additionally, an outlook to 2 degrees C warming since pre-industrial times. The precipitation fields were then used as meteorological input for four different hydrological models to estimate the corresponding changes in river discharge, allowing for comparison between approaches and for the robustness of the attribution results to be assessed.
机译:2017年8月,孟加拉国在近期历史上面临其最糟糕的河流洪水活动之一。 本文首次呈现这种降水诱导的洪水对人为气候变化的归因,从综合气象和水文的角度来看。 实验是用三个观察数据集和两个气候模型进行的,以估计勃拉姆帕福特拉盆地的极端10天降水事件频率的变化,距自工业工业时期以来的前景为2摄氏度。 然后将沉淀场用作四种不同水文模型的气象输入,以估计河流放电的相应变化,允许评估归因结果的方法和鲁棒性。

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