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Abstract: CarbonSense/EcoPerceiver 2.0: Multimodal Deep Learning for Global Hourly Flux Modelling (AGU25)

CarbonSense/EcoPerceiver 2.0: Multimodal Deep Learning for Global Hourly Flux Modelling

Matteo Detto1, Matthew Fortier2, Luis Lara2, Mathias La Rochelle3, Oliver Sonnentag4 and Christopher Pal5, (1)Princeton University, High Meadows Environmental Institute, Princeton, NJ, United States, (2)Mila - Quebec Artificial Intelligence Institute, Montreal, Canada, (3)Université de Montréal, Montréal, Canada, (4)University of Montreal, Département de Géographie, Montreal, QC, Canada, (5)Ecole Polytechnique de Montreal, Computer Engineering and Software Engineering, Montreal, Canada
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