A Novel Modeling Framework based on Empirical models, PSO, XGBoost, and multiple GCMs for the projection of Long-Term Reference Evapotranspiration

Ali Elbilali; Abdessamad Hadri; Abdeslam Taleb; El Mahdi EL Khalki; Meryem Tanarhte; Mohamed Hakim Kharrou

doi:https://doi.org/10.5194/egusphere-egu25-12646

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EGU25-12646, updated on 15 Mar 2025

https://doi.org/10.5194/egusphere-egu25-12646

EGU General Assembly 2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

A Novel Modeling Framework based on Empirical models, PSO, XGBoost, and multiple GCMs for the projection of Long-Term Reference Evapotranspiration

Ali Elbilali^1,2, Abdessamad Hadri², Abdeslam Taleb¹, El Mahdi EL Khalki², Meryem Tanarhte¹, and Mohamed Hakim Kharrou²

Ali Elbilali et al.

¹Hassan II University of Casablanca, Faculty of sciences and techniques, Mohammedia, Morocoo
²Mohammed VI Polytechnic University (UM6P), International Water Research Institute, Benguerir, 43150, Morocco

How to cite: Elbilali, A., Hadri, A., Taleb, A., EL Khalki, E. M., Tanarhte, M., and Kharrou, M. H.: A Novel Modeling Framework based on Empirical models, PSO, XGBoost, and multiple GCMs for the projection of Long-Term Reference Evapotranspiration, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-12646, https://doi.org/10.5194/egusphere-egu25-12646, 2025.

This abstract has been withdrawn on 25 Jul 2025.