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Projections of future meteorological droughts in China under CMIP6 from a three‐dimensional perspective

Author

Listed:
  • Xu, Yang
  • Zhang, Xuan
  • Hao, Zengchao
  • Hao, Fanghua
  • Li, Chong

Abstract

In recent years, serious drought-related disasters in China have received increased attention due to their significant impacts. Assessing drought variations was critical to ensure agricultural activity, social development, and human health. This study used the three-dimensional clustering method to investigate variations of drought events in historical (1971–2010) and future (SSP126 and SSP585, 2061-2100) periods in China based on observations and model simulations from Coupled Model Inter-comparison Project Phase 6 (CMIP6). The variations and risk analysis of drought characteristics were assessed by copula-based methods. Results indicated that precipitation was projected to increase by 12.0% and 19.5% for the SSP126 and SSP585 scenarios, respectively, with substantial increases in arid and semi-arid regions. The drought duration, severity, and affected area are shown to increase based on the CMIP6 projections compared with historical periods. We also assessed drought return periods of multiple drought characteristics for each scenario by using the copula-based joint distribution. Based on the joint analysis of duration, severity, and affected area for meteorological drought, both the “or” and “and” return periods in the future indicated increased risks. Under global warming, extreme drought events with long duration, high intensity, and extended affected area were shown to occur more frequently in the future, especially under the SSP585 scenario. These results can aid the understanding and characterization of drought events for drought risk management under global warming.

Suggested Citation

  • Xu, Yang & Zhang, Xuan & Hao, Zengchao & Hao, Fanghua & Li, Chong, 2021. "Projections of future meteorological droughts in China under CMIP6 from a three‐dimensional perspective," Agricultural Water Management, Elsevier, vol. 252(C).
  • Handle: RePEc:eee:agiwat:v:252:y:2021:i:c:s0378377421001141
    DOI: 10.1016/j.agwat.2021.106849
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    1. Samantaray, Alok Kumar & Ramadas, Meenu & Panda, Rabindra Kumar, 2022. "Changes in drought characteristics based on rainfall pattern drought index and the CMIP6 multi-model ensemble," Agricultural Water Management, Elsevier, vol. 266(C).
    2. Youxin Wang & Tao Peng & Qingxia Lin & Vijay P. Singh & Xiaohua Dong & Chen Chen & Ji Liu & Wenjuan Chang & Gaoxu Wang, 2022. "A New Non-stationary Hydrological Drought Index Encompassing Climate Indices and Modified Reservoir Index as Covariates," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(7), pages 2433-2454, May.
    3. Wang, Fei & Lai, Hexin & Li, Yanbin & Feng, Kai & Zhang, Zezhong & Tian, Qingqing & Zhu, Xiaomeng & Yang, Haibo, 2022. "Dynamic variation of meteorological drought and its relationships with agricultural drought across China," Agricultural Water Management, Elsevier, vol. 261(C).
    4. Qianchuan Mi & Chuanyou Ren & Yanhua Wang & Xining Gao & Limin Liu & Yue Li, 2023. "A robust ensemble drought index: construction and assessment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(1), pages 1139-1159, March.
    5. Zhang, Qi & Yu, Xin & Qiu, Rangjian & Liu, Zhongxian & Yang, Zaiqiang, 2022. "Evolution, severity, and spatial extent of compound drought and heat events in north China based on copula model," Agricultural Water Management, Elsevier, vol. 273(C).

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