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Giroux, J.-S., Breton, S.-P., & Carreau, J. (2025). Interpolation-Free Deep Learning for Meteorological Downscaling on Unaligned Grids Across Multiple Domains with Application to Wind Power. Artificial Intelligence for the Earth Systems. Lien externe
Nath, S., Carreau, J., Kornhuber, K., Pfleiderer, P., Schleussner, C.-F., & Naveau, P. (2025). MERCURY: A Fast and Versatile Multi‐Resolution Based Global Emulator of Compound Climate Hazards. Journal of Advances in Modeling Earth Systems. Lien externe
Houssou, V., & Carreau, J. (2025). Spatial pattern regression for gridded meteorological data: A precipitation and temperature case study. (Rapport technique n° G-2025-48). Lien externe
Stache, N., Shakibaeinia, A., Carreau, J., & Matte, P. (septembre 2024). Evaluation of ML techniques for downscaling hydrodynamic simulations [Communication écrite]. 12th International Conference on Fluvial Hydraulics (River Flow 2024), Liverpool, UK. Lien externe