Coupled mechanistic ecohydrological modelling and machine learning can provide robust estimates of global ET and GPP


Quentin Mailhos, Imperial College London, London, SW7, United Kingdom, Athanasios Paschalis, University of Cyprus, Department of Civil and Environmental Engineering, Nicosia, Cyprus, Charles Zogheib, Imperial College London, Civil and Environmental Engineering, London, United Kingdom and Simone Fatichi, ETH Zurich, Institute of Environmental Engineering, Zurich, Switzerland
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