Will the 2022 compound heatwave-drought extreme over the Yangtze River Basin become Grey Rhino in the future?

被引:5
作者
Feng, Ai-Qing [1 ]
Chao, Qing-Chen [1 ]
Liu, Lu-Lu [2 ]
Gao, Ge [1 ]
Wang, Guo-Fu [1 ]
Zhang, Xue-Jun [3 ]
Wang, Qi-Guang [4 ]
机构
[1] Natl Climate Ctr, China Meteorol Adm Key Lab Climate Predict Studies, Beijing 100081, Peoples R China
[2] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
[3] China Inst Water Resources & Hydropower Res, Beijing 100038, Peoples R China
[4] China Meteorol Adm, China Meteorol Adm Training Ctr, Beijing 100081, Peoples R China
基金
中国国家自然科学基金;
关键词
Compound extreme event; Joint return period; Drought; Heatwave; Climate change; Yangtze River Basin; CONCURRENT CLIMATE EXTREMES; PRECIPITATION; RISK;
D O I
10.1016/j.accre.2024.05.004
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The increasingly frequent and severe regional-scale compound heatwave-drought extreme events (CHDEs), driven by global warming, present formidable challenges to ecosystems, residential livelihoods, and economic conditions. However, uncertainty persists regarding the future trend of CHDEs and their insights into regional spatiotemporal heterogeneity. By integrating daily meteorological data from observations in 1961-2022 and global climate models (GCMs) based on the Shared Socioeconomic Pathways, the evolution patterns of CHDEs were compared and examined among three sub-catchments of the Yangtze River Basin, and the return periods of CHDE in 2050s and 2100s were projected. The findings indicate that the climate during the 2022 CHDE period was the warmest and driest recorded in 1961-2022, with precipitation less than 154.5 mm and a mean daily maximum temperature 3.4 degrees C higher than the average of 1981-2010, whereas the characteristics in the sub-catchments exhibited temporal and spatial variation. In July-August 2022, the most notable feature of CHDE was its extremeness since 1961, with return periods of similar to 200-year in upstream, 80-year in midstream, and 40-year in downstream, respectively. By 2050, the return periods witnessed 2022 CHDE would likely be reduced by one-third. Looking towards 2100, under the highest emission scenario of SSP585, it was projected to substantially increase the frequency of CHDEs, with return periods reduced to one-third in the upstream and downstream, as well as halved in the midstream. These findings provide valuable insights into the changing risks associated with forthcoming climate extremes, emphasizing the urgency of addressing these challenges in regional management and sustainable development.
引用
收藏
页码:547 / 556
页数:10
相关论文
共 47 条
[1]   Climate Extremes and Compound Hazards in a Warming World [J].
AghaKouchak, Amir ;
Chiang, Felicia ;
Huning, Laurie S. ;
Love, Charlotte A. ;
Mallakpour, Iman ;
Mazdiyasni, Omid ;
Moftakhari, Hamed ;
Papalexiou, Simon Michael ;
Ragno, Elisa ;
Sadegh, Mojtaba .
ANNUAL REVIEW OF EARTH AND PLANETARY SCIENCES, VOL 48, 2020, 2020, 48 :519-548
[2]   Global warming and changes in risk of concurrent climate extremes: Insights from the 2014 California drought [J].
AghaKouchak, Amir ;
Cheng, Linyin ;
Mazdiyasni, Omid ;
Farahmand, Alireza .
GEOPHYSICAL RESEARCH LETTERS, 2014, 41 (24) :8847-8852
[3]   Precipitation trends determine future occurrences of compound hot-dry events [J].
Bevacqua, Emanuele ;
Zappa, Giuseppe ;
Lehner, Flavio ;
Zscheischler, Jakob .
NATURE CLIMATE CHANGE, 2022, 12 (04) :350-+
[4]   More meteorological events that drive compound coastal flooding are projected under climate change [J].
Bevacqua, Emanuele ;
Vousdoukas, Michalis I. ;
Zappa, Giuseppe ;
Hodges, Kevin ;
Shepherd, Theodore G. ;
Maraun, Douglas ;
Mentaschi, Lorenzo ;
Feyen, Luc .
COMMUNICATIONS EARTH & ENVIRONMENT, 2020, 1 (01)
[5]   Multivariate quantile mapping bias correction: an N-dimensional probability density function transform for climate model simulations of multiple variables [J].
Cannon, Alex J. .
CLIMATE DYNAMICS, 2018, 50 (1-2) :31-49
[6]   Multivariate Bias Correction of Climate Model Output: Matching Marginal Distributions and Intervariable Dependence Structure [J].
Cannon, Alex J. .
JOURNAL OF CLIMATE, 2016, 29 (19) :7045-7064
[7]   Causes of the persistent merging of the western North Pacific subtropical high and the Iran high during late July 2022 [J].
Chen, Ruidan ;
Li, Xiaoqi .
CLIMATE DYNAMICS, 2023, 61 (5-6) :2285-2297
[8]   WFDE5: bias-adjusted ERA5 reanalysis data for impact studies [J].
Cucchi, Marco ;
Weedon, Graham P. ;
Amici, Alessandro ;
Bellouin, Nicolas ;
Lange, Stefan ;
Schmied, Hannes Mueller ;
Hersbach, Hans ;
Buontempo, Carlo .
EARTH SYSTEM SCIENCE DATA, 2020, 12 (03) :2097-2120
[9]   A 439-year simulated daily discharge dataset (1861-2299) for the upper Yangtze River, China [J].
Gao, Chao ;
Su, Buda ;
Krysanova, Valentina ;
Zha, Qianyu ;
Chen, Cai ;
Luo, Gang ;
Zeng, Xiaofan ;
Huang, Jinlong ;
Xiong, Ming ;
Zhang, Liping ;
Jiang, Tong .
EARTH SYSTEM SCIENCE DATA, 2020, 12 (01) :387-402
[10]   Temporal and spatial evolution of the standardized precipitation evapotranspiration index (SPEI) in the Loess Plateau under climate change from 2001 to 2050 [J].
Gao, Xuerui ;
Zhao, Qi ;
Zhao, Xining ;
Wu, Pute ;
Pan, Wenxiang ;
Gao, Xiaodong ;
Sun, Miao .
SCIENCE OF THE TOTAL ENVIRONMENT, 2017, 595 :191-200