 | Monter d'un niveau |
Giroux, J.-S., Breton, S.-P., & Carreau, J. (2024). Interpolation-free deep learning for meteorological downscaling on unaligned grids across multiple domains with application to wind power. (Rapport technique n° G-2024-67). Lien externe
Nath, S., Carreau, J., Kornhuber, K., Pfleiderer, P., Schleussner, C.-F., & Naveau, P. (2024). MERCURY: A fast and versatile multi-resolution based global emulator of compound climate hazards. (Rapport technique n° G-2024-81). Lien externe
Paoli, A., Carreau, J., & Jalbert, J. (2024). Statistical testing of scaling models for precipitation Intensity-Duration-Frequency curves. (Rapport technique n° G-2024-34). Lien externe
