Rehana Shaik, Nannaka Vivek, Mummidivarapu Satish Kumar
Hydroclimatic Research Group, Lab for Spatial Informatics, International Institute of Information Technology, Gachibowli, Hyderabad, Telangana 500032, India.
Hydroclimatic Research Group, Lab for Spatial Informatics, International Institute of Information Technology, Gachibowli, Hyderabad, Telangana 500032, India.
Sci Total Environ. 2024 Nov 10;950:175164. doi: 10.1016/j.scitotenv.2024.175164. Epub 2024 Aug 2.
The simultaneous occurrence of climate extremes significantly impacts ecosystems, increasing the vulnerability to physical risks. Despite extensive research on hot extremes and droughts globally, there remains a significant gap in comprehending the occurrence, magnitude, spatial extent, and associated risks of compound extremes, encompassing scenarios like warm/dry, cold/dry, warm/wet, and cold/wet. This study investigates various compound extreme scenarios by examining combinations of maximum temperature (Tx) and the Standardized Precipitation Evapotranspiration Index (SPEI) using monthly data from 1951 to 2014 acquired from the India Meteorological Department (IMD) for Indian landmass. From the results, the spatial extent of warm/dry events has increased at 1.8 % per decade, while cold/wet events decreased by 1.1 % over India. The warm/wet events have shown an increased trend of about 0.3 %, and cold/dry events at modest rise of 0.7 % per decade. Furthermore, compound warm/dry and cold/wet extremes over India exhibit extreme frequency and shorter return periods, posing greater risk. Conversely, compound cold/dry and warm/wet extremes occur less often, indicating longer return periods and lower risk. Across much of the country, the frequency of warm/dry, cold/dry, warm/wet, and cold/wet extremes ranges from 30 to 45, 15-30, 20-30, and 25-45 months, respectively. Notably, warm/dry conditions exhibit increased frequency in the recent period (1983-2014) with 31 years compared to the base period (1951-1982) which had approximately 24 years for a spatial extent exceeding 5 %. The findings of this study contribute to an enhanced understanding of the changes in compound climate extremes from a multivariate perspective.
极端气候的同时出现对生态系统有显著影响,增加了遭受自然风险的脆弱性。尽管全球对炎热极端事件和干旱进行了广泛研究,但在理解复合极端事件(包括暖干、冷干、暖湿和冷湿等情况)的发生、强度、空间范围及相关风险方面仍存在重大差距。本研究利用从印度气象局(IMD)获取的1951年至2014年印度大陆月度数据,通过研究最高温度(Tx)和标准化降水蒸散指数(SPEI)的组合来调查各种复合极端情景。结果显示,印度暖干事件的空间范围以每十年1.8%的速度增加,而冷湿事件减少了1.1%。暖湿事件呈约0.3%的上升趋势,冷干事件每十年略有上升,为0.7%。此外,印度的复合暖干和冷湿极端事件呈现出极端频率和较短的重现期,带来更大风险。相反,复合冷干和暖湿极端事件发生频率较低,表明重现期较长且风险较低。在该国大部分地区,暖干、冷干、暖湿和冷湿极端事件的频率分别为30至45个月、15至30个月、20至30个月和25至45个月。值得注意的是,与基础期(1951 - 1982年,空间范围超过5%的时间段约为24年)相比,近期(1983 - 2014年,共31年)暖干情况的频率有所增加。本研究结果有助于从多变量角度增强对复合气候极端变化的理解。