Projected Meteorological Drought over Asian Drylands under Different CMIP6 Scenarios
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State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences (CAS), Urumqi 830011, China
2
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
*
Author to whom correspondence should be addressed.
Academic Editor: Guido D’Urso
Remote Sens. 2021, 13(21), 4409; https://doi.org/10.3390/rs13214409
Received: 23 September 2021
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Revised: 22 October 2021
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Accepted: 28 October 2021
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Published: 2 November 2021
(This article belongs to the Special Issue Remote Sensing in Natural Resource and Water Environment)
Asia currently has the world’s largest arid and semi-arid zones, so a timely assessment of future droughts in the Asian drylands is prudent, particularly in the context of recent frequent sandstorms. This paper assesses the duration, frequency, and intensity of drought events in the Asian drylands based on nine climate models of the Coupled Model Intercomparison Project Phase 6 (CMIP6). The results show that a high percentage of land area is experiencing significant drought intensification of 65.1%, 89.9%, and 99.8% under Shared Socioeconomic Pathways (SSP)126, SSP245, and SSP585 scenarios, respectively. Furthermore, the data indicate that future droughts will become less frequent but longer in duration and more intense, with even more severe future droughts predicted for northwest China and western parts of Uzbekistan and Kazakhstan. Drought durations of 10.8 months and 13.4 months are anticipated for the future periods of 2021–2060 and 2061–2100, respectively, compared to the duration of 6.6 months for the historical period (1960–2000). Meanwhile, drought intensity is expected to reach 1.37 and 1.66, respectively, for future events compared to 0.97 for the historical period. However, drought severity under SSP245 will be weaker than that under SSP126 due to the mitigating effect of precipitation. The results of this study can provide a basis for the development of adaptation measures in Asian dryland nations.
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MDPI and ACS Style
Li, H.; Li, Z.; Chen, Y.; Liu, Y.; Hu, Y.; Sun, F.; Kayumba, P.M. Projected Meteorological Drought over Asian Drylands under Different CMIP6 Scenarios. Remote Sens. 2021, 13, 4409. https://doi.org/10.3390/rs13214409
AMA Style
Li H, Li Z, Chen Y, Liu Y, Hu Y, Sun F, Kayumba PM. Projected Meteorological Drought over Asian Drylands under Different CMIP6 Scenarios. Remote Sensing. 2021; 13(21):4409. https://doi.org/10.3390/rs13214409
Chicago/Turabian StyleLi, Hongwei, Zhi Li, Yaning Chen, Yongchang Liu, Yanan Hu, Fan Sun, and Patient Mindje Kayumba. 2021. "Projected Meteorological Drought over Asian Drylands under Different CMIP6 Scenarios" Remote Sensing 13, no. 21: 4409. https://doi.org/10.3390/rs13214409
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