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Future changes in Indian summer monsoon characteristics under 1.5 and 2 ℃ specific warming levels

机译:1.5和2℃特定增温水平下印度夏季风特征的未来变化。

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The rainfall during Indian summer monsoon (ISM) is very important for the population living in the Indian sub-continent. The recent Paris climate agreement determined to keep the global mean temperature rise well below 2 degrees C and pursue efforts to limit it within 1.5 degrees C. This global temperature rise would influence the ISM mechanism over the Indian sub-continent. This study examines the possible changes in the ISM characteristics at 1.5 and 2 degrees C specific warming levels (SWLs) with respect to the historical period. This analysis uses a set of 12 regional climate simulations under Coordinated Regional Climate Downscaling Experiments-South Asia (CORDEX-SA). The land as well as the oceans shows a warming signature due to the effect of anthropogenic forcings with much higher warming over land. The increase of global temperature to 1.5 degrees C (2 degrees C) SWL leads to an earlier onset of ISM over India by 7 (11) days in the model ensemble. The increasing land-sea temperature contrast gradually increases the strength of the Findlater jet (by 0.5-0.9 m/s), which transports more moisture towards land and causes higher rainfall (increase by 2-10%) over India. The study reveals that under a higher SWL of 2 degrees C the mean rainfall is augmented as compared to that under 1.5 degrees C. However, there exists uncertainty in the findings due to inter-model differences especially for the duration of ISM activity and the spatial distribution of rainfall at different SWLs.
机译:印度夏季风(ISM)期间的降雨对于居住在印度次大陆的人口非常重要。最近的巴黎气候协议决定将全球平均气温上升幅度保持在2摄氏度以下,并努力将其限制在1.5摄氏度以内。全球气温上升将影响印度次大陆的ISM机制。这项研究研究了相对于历史时期在1.5和2摄氏度的特定升温水平(SWL)下ISM特性的可能变化。该分析使用了南亚协调区域气候缩减试验(CORDEX-SA)下的一组12个区域气候模拟。由于人为强迫的影响,陆地和海洋显示出变暖的特征,而陆地上的变暖程度更高。在模型集合中,全球温度升高到1.5摄氏度(2摄氏度)SWL导致ISM在印度的ISM发病提前了七(11)天。不断增加的陆海温度反差逐渐增加了芬德勒喷气机的强度(提高了0.5-0.9 m / s),这使更多的水分流向陆地,并导致印度全境降雨增加(增加了2-10%)。研究表明,与1.5摄氏度相比,在2摄氏度的较高声压级下,平均降雨量增加了。但是,由于模型间的差异,尤其是在ISM活动的持续时间和空间上,由于模型间的差异,结果存在不确定性不同SWL的降雨分布。

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