Articles | Volume 25, issue 6
https://doi.org/10.5194/hess-25-3455-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-3455-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Attribution of growing season evapotranspiration variability considering snowmelt and vegetation changes in the arid alpine basins
Tingting Ning
Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China
Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Chinese Academy of Sciences, Lanzhou, 730000, China
Qilian Mountains Eco-environment Research Center in Gansu Province, Lanzhou, 730000, China
College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi, 712100, China
Qi Feng
CORRESPONDING AUTHOR
Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China
Qilian Mountains Eco-environment Research Center in Gansu Province, Lanzhou, 730000, China
Zongxing Li
Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China
Qilian Mountains Eco-environment Research Center in Gansu Province, Lanzhou, 730000, China
Yanyan Qin
Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Chinese Academy of Sciences, Lanzhou, 730000, China
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Short summary
Previous studies decomposed ET variance in precipitation, potential ET, and total water storage changes based on Budyko equations. However, the effects of snowmelt and vegetation changes have not been incorporated in snow-dependent basins. We thus extended this method in arid alpine basins of northwest China and found that ET variance is primarily controlled by rainfall, followed by coupled rainfall and vegetation. The out-of-phase seasonality between rainfall and snowmelt weaken ET variance.
Previous studies decomposed ET variance in precipitation, potential ET, and total water storage...