Articles | Volume 26, issue 13
https://doi.org/10.5194/hess-26-3691-2022
© Author(s) 2022. 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-26-3691-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Jul 2022
Research article |
| 15 Jul 2022
| 15 Jul 2022
Attribution of global evapotranspiration trends based on the Budyko framework
Shijie Li
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters (CIC–FEMD), School of Geographical Sciences,
Nanjing University of Information Science and Technology, Nanjing 210044,
China
Guojie Wang
CORRESPONDING AUTHOR
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters (CIC–FEMD), School of Geographical Sciences,
Nanjing University of Information Science and Technology, Nanjing 210044,
China
Chenxia Zhu
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters (CIC–FEMD), School of Geographical Sciences,
Nanjing University of Information Science and Technology, Nanjing 210044,
China
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters (CIC–FEMD), School of Geographical Sciences,
Nanjing University of Information Science and Technology, Nanjing 210044,
China
Waheed Ullah
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters (CIC–FEMD), School of Geographical Sciences,
Nanjing University of Information Science and Technology, Nanjing 210044,
China
Daniel Fiifi Tawia Hagan
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters (CIC–FEMD), School of Geographical Sciences,
Nanjing University of Information Science and Technology, Nanjing 210044,
China
Giri Kattel
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters (CIC–FEMD), School of Geographical Sciences,
Nanjing University of Information Science and Technology, Nanjing 210044,
China
Department of Infrastructure Engineering, The University of Melbourne, Melbourne 3010, Australia
Department of Hydraulic Engineering, Tsinghua University, Beijing
100084, China
Jian Peng
Department of Remote Sensing, Helmholtz Centre for Environmental
Research-UFZ, Permoserstrasse 15, 04318, Leipzig, Germany
Remote Sensing Centre for Earth System Research, Leipzig University, Talstr. 35, 04103, Leipzig, Germany
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Short summary
We found that the precipitation variability dominantly controls global evapotranspiration (ET) in dry climates, while the net radiation has substantial control over ET in the tropical regions, and vapor pressure deficit (VPD) impacts ET trends in boreal mid-latitude climate. The critical role of VPD in controlling ET trends is particularly emphasized due to its influence in controlling the carbon–water–energy cycle.
We found that the precipitation variability dominantly controls global evapotranspiration (ET)...
