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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
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
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
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
