Horatio228/global-et0-climate-aware-forecasting: A global multi‑site hybrid deep learning model for enhanced prediction of reference evapotranspiration using Köppen-Geiger climate classification

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Horatio Harley Koffivi HODOUTO
DOI: 10.5281/zenodo.18520936
Cited by: 0

Abstract

Reproducibility resources for global climate-aware reference evapotranspiration (ET₀) forecasting.

Fields of Study & Subjects

Hydrological Forecasting Using AI Hydrology and Drought Analysis Solar Radiation and Photovoltaics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 February 2026