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

被引:46
|
作者
Xu, Yang [1 ]
Zhang, Xuan [1 ]
Hao, Zengchao [1 ]
Hao, Fanghua [1 ]
Li, Chong [1 ]
机构
[1] Beijing Normal Univ, Coll Water Sci, Beijing Key Lab Urban Hydrol Cycle & Sponge City, Beijing 100875, Peoples R China
基金
中国国家自然科学基金;
关键词
Drought events identification; Spatiotemporal variation; Copula; Drought return period; BIAS CORRECTION METHODS; CLIMATE-CHANGE; HYDROLOGICAL DROUGHTS; FREQUENCY-ANALYSIS; RIVER-BASIN; COPULA; SEVERITY; DURATION; RISK; PRECIPITATION;
D O I
10.1016/j.agwat.2021.106849
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
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.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] Projections of meteorological drought severity-duration variations based on CMIP6
    Behzadi, Farhad
    Javadi, Saman
    Yousefi, Hossein
    Shahdany, S. Mehdy Hashemy
    Moridi, Ali
    Neshat, Aminreza
    Golmohammadi, Golmar
    Maghsoudi, Rahimeh
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [22] Regional difference in precipitation seasonality over China from CMIP6 projections
    Hu, Dan
    Tian, Zhiping
    Lang, Xianmei
    Jiang, Dabang
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2023, 43 (13) : 6179 - 6190
  • [23] The Characteristics and Evaluation of Future Droughts across China through the CMIP6 Multi-Model Ensemble
    Ma, Zice
    Sun, Peng
    Zhang, Qiang
    Zou, Yifan
    Lv, Yinfeng
    Li, Hu
    Chen, Donghua
    REMOTE SENSING, 2022, 14 (05)
  • [24] Projections of precipitation over China based on CMIP6 models
    Jiaxi Tian
    Zengxin Zhang
    Zeeshan Ahmed
    Leying Zhang
    Buda Su
    Hui Tao
    Tong Jiang
    Stochastic Environmental Research and Risk Assessment, 2021, 35 : 831 - 848
  • [25] Projections of precipitation over China based on CMIP6 models
    Tian, Jiaxi
    Zhang, Zengxin
    Ahmed, Zeeshan
    Zhang, Leying
    Su, Buda
    Tao, Hui
    Jiang, Tong
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2021, 35 (04) : 831 - 848
  • [26] The offshore wind speed changes in China: an insight into CMIP6 model simulation and future projections
    Deng, Kaiqiang
    Yang, Song
    Liu, Wanlei
    Li, Hairong
    Chen, Deliang
    Lian, Tao
    Zhang, Gangfeng
    Zha, Jinlin
    Shen, Cheng
    CLIMATE DYNAMICS, 2024, 62 (05) : 3305 - 3319
  • [27] Future projections of extreme temperature events in Southwest China using nine models in CMIP6
    Li, Xiehui
    Chen, Zifan
    Wang, Lei
    Liu, Huan
    FRONTIERS IN EARTH SCIENCE, 2022, 10
  • [28] Model assessments and future projections of spring climate extremes in China based on CMIP6 models
    Ai, Yawen
    Chen, Huopo
    Sun, Jianqi
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2022, 42 (09) : 4601 - 4620
  • [29] On the heat waves over India and their future projections under different SSP scenarios from CMIP6 models
    Norgate, Marc
    Tiwari, P. R.
    Das, Sushant
    Kumar, D.
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2024, 44 (03) : 973 - 995
  • [30] Assessment of global meteorological, hydrological and agricultural drought under future warming based on CMIP6
    Zeng, Jianxin
    Li, Jiaxian
    Lu, Xingjie
    Wei, Zhongwang
    Wei Shangguan
    Zhang, Shupeng
    Dai, Yongjiu
    Zhang, Shulei
    ATMOSPHERIC AND OCEANIC SCIENCE LETTERS, 2022, 15 (01)