Articles | Volume 30, issue 4
https://doi.org/10.5194/hess-30-1117-2026
© Author(s) 2026. 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-30-1117-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Feb 2026
Research article |
| 26 Feb 2026
| 26 Feb 2026
Uncertainties in long-term ensemble estimates of contextual evapotranspiration over southern France
Unité de Recherche Ecologie des Forêts Méditerranéennes, INRAE, Avignon, France
Université de Toulouse, CESBIO, CNES/CNRS/IRD/UPS/INRAE, Toulouse, France
Unité de Recherche Ecologie des Forêts Méditerranéennes, INRAE, Avignon, France
Jordi Etchanchu
UMR HSM, IRD-CNRS-Université de Montpellier, Montpellier, France
Kanishka Mallick
Université de Toulouse, CESBIO, CNES/CNRS/IRD/UPS/INRAE, Toulouse, France
Aolin Jia
Institute of Agricultural Sciences (IAS), Dept. of Environmental Systems Science (D-USYS), ETH Zürich, Zurich, Switzerland
Jérôme Demarty
UMR HSM, IRD-CNRS-Université de Montpellier, Montpellier, France
Nesrine Farhani
UMR HSM, IRD-CNRS-Université de Montpellier, Montpellier, France
Emmanuelle Sarrazin
Université de Toulouse, CESBIO, CNES/CNRS/IRD/UPS/INRAE, Toulouse, France
Philippe Gamet
Université de Toulouse, CESBIO, CNES/CNRS/IRD/UPS/INRAE, Toulouse, France
Jean-Louis Roujean
Université de Toulouse, CESBIO, CNES/CNRS/IRD/UPS/INRAE, Toulouse, France
Gilles Boulet
Université de Toulouse, CESBIO, CNES/CNRS/IRD/UPS/INRAE, Toulouse, France
Indo-French Cell for Water Sciences (IFCWS), IISc, Bangalore, India
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Biogeosciences, 21, 473–511, https://doi.org/10.5194/bg-21-473-2024, https://doi.org/10.5194/bg-21-473-2024, 2024
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Bimal K. Bhattacharya, Kaniska Mallick, Devansh Desai, Ganapati S. Bhat, Ross Morrison, Jamie R. Clevery, William Woodgate, Jason Beringer, Kerry Cawse-Nicholson, Siyan Ma, Joseph Verfaillie, and Dennis Baldocchi
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Han Ma, Shunlin Liang, Changhao Xiong, Qian Wang, Aolin Jia, and Bing Li
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L. Dumas, V. Defonte, Y. Steux, and E. Sarrazin
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Short summary
The EVapotranspiration Assessment from SPAce (EVASPA) algorithm that will generate TRISHNA evapotranspiration (TRISHNA ET) products shows good agreement with observations. Analyses conducted on 4 variables used in contextual ET modelling showed that land surface temperature and evaporative fraction methods introduce the largest uncertainty in ensemble estimates, followed by radiation. Soil heat flux methods contribute the least. Robust ET products will require optimizing the sensitive variables.
The EVapotranspiration Assessment from SPAce (EVASPA) algorithm that will generate TRISHNA...
