Articles | Volume 30, issue 4
https://doi.org/10.5194/hess-30-1117-2026
https://doi.org/10.5194/hess-30-1117-2026
Research article
 | 
26 Feb 2026
Research article |  | 26 Feb 2026

Uncertainties in long-term ensemble estimates of contextual evapotranspiration over southern France

Samuel Mwangi, Albert Olioso, Jordi Etchanchu, Kanishka Mallick, Aolin Jia, Jérôme Demarty, Nesrine Farhani, Emmanuelle Sarrazin, Philippe Gamet, Jean-Louis Roujean, and Gilles Boulet

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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.
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