Articles | Volume 15, issue 10
https://doi.org/10.5194/essd-15-4571-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-4571-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
17 Oct 2023
Data description paper |
| 17 Oct 2023
| 17 Oct 2023
ET-WB: water-balance-based estimations of terrestrial evaporation over global land and major global basins
Jinghua Xiong
State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, Hubei 430072, China
Abhishek
Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, India
Global Institute for Water Security, University of Saskatchewan, Saskatoon, SK S7N 3H5, Canada
Hrishikesh A. Chandanpurkar
Centre for Sustainability, Environment, and Climate Change, FLAME University, Pune, India
James S. Famiglietti
Global Institute for Water Security, University of Saskatchewan, Saskatoon, SK S7N 3H5, Canada
Global Futures Laboratory, Arizona State University, Tempe, AZ 85281, United States
Chong Zhang
Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China
Gionata Ghiggi
Environmental Remote Sensing Laboratory (LTE), EPFL, 1005 Lausanne, Switzerland
State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, Hubei 430072, China
Yun Pan
CORRESPONDING AUTHOR
Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China
Bramha Dutt Vishwakarma
Interdisciplinary Centre for Water Research, Indian Institute of Science, Bengaluru 560012, India
Centre for Earth Sciences, Indian Institute of Science, Bengaluru 560012, India
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model evaluation).
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Short summary
To overcome the shortcomings associated with limited spatiotemporal coverage, input data quality, and model simplifications in prevailing evaporation (ET) estimates, we developed an ensemble of 4669 unique terrestrial ET subsets using an independent mass balance approach. Long-term mean annual ET is within 500–600 mm yr−1 with a unimodal seasonal cycle and several piecewise trends during 2002–2021. The uncertainty-constrained results underpin the notion of increasing ET in a warming climate.
To overcome the shortcomings associated with limited spatiotemporal coverage, input data...
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