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人为变暖下印度极端降雨的时空聚集

Temporal and spatial aggregation of rainfall extremes over India under anthropogenic warming.

作者信息

Konda Gopinadh, Chowdary Jasti S, Gnanaseelan C, Vissa Naresh Krishna, Parekh Anant

机构信息

Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Pune, 411008, India.

Department of Earth and Atmospheric Sciences, National Institute of Technology, Rourkela, 769008, India.

出版信息

Sci Rep. 2024 May 31;14(1):12538. doi: 10.1038/s41598-024-63417-w.

Abstract

India experienced several unprecedented floods in the recent decades. The increase in the extreme rainfall events (EREs) is the primary cause for these floods, manifesting its societal impacts. The daily downscaled and bias corrected (DBC) Coupled Model Intercomparison Project Phase 6 (CMIP6) rainfall and sea surface temperature (SST) are prepared for the Indian region and are utilized to examine the characteristics of EREs. The DBC products capture the characteristic features of EREs for the baseline period, which inspired us to assess the EREs over India in CMIP6 future projections. Consistent with the observations, DBC product shows ~ 8% of Indian land found to experienced extremely heavy rainfall associated with the long duration EREs in the baseline period. However, area and extreme rainfall thresholds are projected to increase by about 18(13)% and 58(50)%, respectively in the far future under SSP5-8.5 (SSP2-4.5) emission scenario relative to the baseline period. A two-fold-65(62)% increase in long-duration EREs compared to the short-duration EREs and substantial warming ~ 2.4(2.9) C of Indian Ocean SSTs in the far future under SSP5-8.5 (SSP2-4.5) emission scenario compared to baseline period are reported. These findings may provide fundamental insights to formulate national climate change adaptation policies for the EREs.

摘要

近几十年来,印度经历了几次前所未有的洪水。极端降雨事件(EREs)的增加是这些洪水的主要原因,并显现出其社会影响。为印度地区准备了每日降尺度和偏差校正(DBC)的耦合模式比较计划第6阶段(CMIP6)降雨和海表面温度(SST)数据,并用于研究极端降雨事件的特征。DBC产品捕捉到了基准期极端降雨事件的特征,这促使我们评估CMIP6未来预测中印度的极端降雨事件。与观测结果一致,DBC产品显示,在基准期内,约8%的印度土地经历了与长时间极端降雨事件相关的极强降雨。然而,在相对于基准期的SSP5-8.5(SSP2-4.5)排放情景下,预计到遥远未来,面积和极端降雨阈值将分别增加约18(±13)%和58(±50)%。与短持续时间极端降雨事件相比,长持续时间极端降雨事件增加了两倍至65(±62)%,并且在相对于基准期的SSP5-8.5(SSP2-4.5)排放情景下,预计到遥远未来,印度洋海表面温度将大幅变暖约2.4(±2.9)摄氏度。这些发现可能为制定针对极端降雨事件的国家气候变化适应政策提供基本见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/666f/11143250/f63d8ba6282e/41598_2024_63417_Fig1_HTML.jpg

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