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Article

The Characteristics and Evaluation of Future Droughts across China through the CMIP6 Multi-Model Ensemble

1
School of Geography and Tourism, Anhui Normal University, Wuhu 241002, China
2
Academy of Disaster Reduction and Emergency Management, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
3
Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2022, 14(5), 1097; https://doi.org/10.3390/rs14051097
Submission received: 4 January 2022 / Revised: 19 February 2022 / Accepted: 21 February 2022 / Published: 23 February 2022
(This article belongs to the Topic Climate Change and Environmental Sustainability)

Abstract

Understanding historical and future drought patterns is crucial to acclimation and the mitigation of drought. The negative impact of China’s droughts on the social economy has attracted attention; however, there is still no comprehensive or long-term monitoring pattern for future droughts. Here we evaluated the precipitation and temperature simulation capability of Coupled Model Intercomparison Project Phase 6 (CMIP6) and evaluated the temporal and spatial pattern of droughts during 1961–2099 across China. The results show that the multi-model ensemble mean (MME) is more representative of the observed precipitation and temperatures across China than the single climate model. China experienced an overall drying trend in the historical period. After 1991, the drought frequency (DF), drought duration (DD), and drought intensity (DI) in the northwest of the Inland River Basin and in the Yangtze River Basin increased significantly. Compared with the historical period, China will suffer more frequent drought events, although the DD and DI will be weakened under SSP1-2.6 and SSP2-4.5, while China will experience longer DD and more serious drought events under SSP3-7.0 and SSP5-8.5. The Hai River Basin and Huai River Basin are expected to have more serious drought trends in summer. Compared with historical periods, the drought trend will increase by 2.9–5.7 times and 1.1–4.2 times, respectively. The results can be used for decision making regarding future drought control.
Keywords: drought assessment; drought characteristics; standardized precipitation evapotranspiration index; CMIP6 models; SSP scenarios; China drought assessment; drought characteristics; standardized precipitation evapotranspiration index; CMIP6 models; SSP scenarios; China

Share and Cite

MDPI and ACS Style

Ma, Z.; Sun, P.; Zhang, Q.; Zou, Y.; Lv, Y.; Li, H.; Chen, D. The Characteristics and Evaluation of Future Droughts across China through the CMIP6 Multi-Model Ensemble. Remote Sens. 2022, 14, 1097. https://doi.org/10.3390/rs14051097

AMA Style

Ma Z, Sun P, Zhang Q, Zou Y, Lv Y, Li H, Chen D. The Characteristics and Evaluation of Future Droughts across China through the CMIP6 Multi-Model Ensemble. Remote Sensing. 2022; 14(5):1097. https://doi.org/10.3390/rs14051097

Chicago/Turabian Style

Ma, Zice, Peng Sun, Qiang Zhang, Yifan Zou, Yinfeng Lv, Hu Li, and Donghua Chen. 2022. "The Characteristics and Evaluation of Future Droughts across China through the CMIP6 Multi-Model Ensemble" Remote Sensing 14, no. 5: 1097. https://doi.org/10.3390/rs14051097

APA Style

Ma, Z., Sun, P., Zhang, Q., Zou, Y., Lv, Y., Li, H., & Chen, D. (2022). The Characteristics and Evaluation of Future Droughts across China through the CMIP6 Multi-Model Ensemble. Remote Sensing, 14(5), 1097. https://doi.org/10.3390/rs14051097

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