Hydrothermal condition is mismatched in arid and semi-arid regions, particularly in Central Asia (including Kazakhstan, Kyrgyzstan, Tajikistan, Uzbekistan, and Turkmenistan), resulting many environmental limitations. In this study, we projected hydrothermal condition in Central Asia based on bias-corrected multi-model ensembles (MMEs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) under four Shared Socioeconomic Pathway and Representative Concentration Pathway (SSP-RCP) scenarios (SSP126 (SSP1-RCP2.6), SSP245 (SSP2-RCP4.5), SSP460 (SSP4-RCP6.0), and SSP585 (SSP5-RCP8.5)) during 2015–2100. The bias correction and spatial disaggregation, water-thermal product index, and sensitivity analysis were used in this study. The results showed that the hydrothermal condition is mismatched in the central and southern deserts, whereas the region of Pamir Mountains and Tianshan Mountains as well as the northern plains of Kazakhstan showed a matched hydrothermal condition. Compared with the historical period, the matched degree of hydrothermal condition improves during 2046–2075, but degenerates during 2015–2044 and 2076–2100. The change of hydrothermal condition is sensitive to precipitation in the northern regions and the maximum temperatures in the southern regions. The result suggests that the optimal scenario in Central Asia is SSP126 scenario, while SSP585 scenario brings further hydrothermal contradictions. This study provides scientific information for the development and sustainable utilization of hydrothermal resources in arid and semi-arid regions under climate change.

YAO Linlin;ZHOU Hongfei;YAN Yingjie;LI Lanhai;SU Yuan

State Key Laboratory of Desert and Oasis Ecology,Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences,Urumqi 830011,China;Fukang National Field Scientific Observation and Research Station for Desert Ecosystems,Chinese Academy of Sciences,Fukang 831505,China;University of Chinese Academy of Sciences,Beijing 100049,China;Ili Station for Watershed Ecosystem Research,Chinese Academy of Sciences,Xinyuan 835800,China;CAS Research Center for Ecology and Environment of Central Asia,Urumqi 830011,China;Xinjiang Key Laboratory of Water Cycle and Utilization in Arid Zone,Urumqi 830011,China

干旱区科学

[1]YAO Linlin;ZHOU Hongfei;YAN Yingjie;LI Lanhai;SU Yuan-.Projection of hydrothermal condition in Central Asia under four SSP-RCP scenarios)[J].干旱区科学,2022(05):521-536

SSP460,degenerates

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