Quantifying historical trends and future projections of evapotranspiration in arid central Asia using selected CMIP6 and GLEAM

Introduction The fragile social-ecological systems of Central Asia's arid regions (ACA) are critically dependent on evapotranspiration (ET) dynamics, which govern water and energy cycles in this precipitation-limited region experiencing increasing climatic variability and water stress. Methods Using the Global Land Evaporation Amsterdam Model (GLEAM) for historical analysis (1985-2014) and an optimized ensemble of five CMIP6 models (selected via DISO metric) under four SSP scenarios (SSP1-2.6 to SSP5-8.5) for future projections (2021-2100), this study provides a comprehensive assessment of ET trends and climate linkages. Results Key results show: (1) Historical ET increased significantly (0.43 mm/a by GLEAM; 0.98 mm/a by CMIP6 MME, p < 0.05); (2) Future projections reveal strongest ET increases under SSP5-8.5 (0.79 mm/a annually), with >85% of ACA (notably northern Kazakhstan and Kunlun Mountains) showing upward trends, though SSP1-2.6 causes growing-season declines in 48% of regions; (3) ET exhibits strong positive correlations with temperature (especially in Kyrgyzstan/Tajikistan/southern Xinjiang) and precipitation (r = 0.52 under SSP1-2.6). Discussion These findings underscore ET’s growing hydrological significance in ACA, highlighting the urgent need for adaptive water management strategies to address climate change impacts on agricultural, ecosystem sustainability and zoonics from one health perspective.

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Publication Details

Journal
Frontiers in Environmental Science
Published
2026-03-02
DOI
https://doi.org/10.3389/fenvs.2026.1757853
Primary Topic
Plant Water Relations and Carbon Dynamics
Type
article
Field-Weighted Citation Impact
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article

Quantifying historical trends and future projections of evapotranspiration in arid central Asia using selected CMIP6 and GLEAM

G. Yin, Nazrullozoda Sulaimon, Yaoming Li, Xiaohua Ni et al.
Frontiers in Environmental Science
Plant Water Relations and Carbon Dynamics
article

Quantifying historical trends and future projections of evapotranspiration in arid central Asia using selected CMIP6 and GLEAM

G. Yin, Nazrullozoda Sulaimon, Yaoming Li, Xiaohua Ni, Qianqian Zhang, Zengyun Hu, Zhuo Zhang
article en

Abstract

Introduction The fragile social-ecological systems of Central Asia's arid regions (ACA) are critically dependent on evapotranspiration (ET) dynamics, which govern water and energy cycles in this precipitation-limited region experiencing increasing climatic variability and water stress. Methods Using the Global Land Evaporation Amsterdam Model (GLEAM) for historical analysis (1985-2014) and an optimized ensemble of five CMIP6 models (selected via DISO metric) under four SSP scenarios (SSP1-2.6 to SSP5-8.5) for future projections (2021-2100), this study provides a comprehensive assessment of ET trends and climate linkages. Results Key results show: (1) Historical ET increased significantly (0.43 mm/a by GLEAM; 0.98 mm/a by CMIP6 MME, p < 0.05); (2) Future projections reveal strongest ET increases under SSP5-8.5 (0.79 mm/a annually), with >85% of ACA (notably northern Kazakhstan and Kunlun Mountains) showing upward trends, though SSP1-2.6 causes growing-season declines in 48% of regions; (3) ET exhibits strong positive correlations with temperature (especially in Kyrgyzstan/Tajikistan/southern Xinjiang) and precipitation (r = 0.52 under SSP1-2.6). Discussion These findings underscore ET’s growing hydrological significance in ACA, highlighting the urgent need for adaptive water management strategies to address climate change impacts on agricultural, ecosystem sustainability and zoonics from one health perspective.

Frontiers in Environmental ScienceVol. 14
Shanghai Jiao Tong University (CN), Chinese Academy of Sciences (CN), Academy of Sciences of the Republic of Tajikistan (TJ), Research Center for Ecology and Environment of Central Asia (CN), Xinjiang Institute of Ecology and Geography (CN), University of Chinese Academy of Sciences (CN), Xinjiang University (CN)
Climate action
Openalex Percentile: Top 48%
Plant Water Relations and Carbon Dynamics
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