Projections of future meteorological droughts in China under CMIP6 from a three‐dimensional perspective
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DOI: 10.1016/j.agwat.2021.106849
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- 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).
- 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.
- 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.
- 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).
- 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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Keywords
Drought events identification; Spatiotemporal variation; Copula; Drought return period;All these keywords.
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