| * McTaggart-Cowan, R., Magnusson, L., Polichtchouk, I., Ackerley, D., Köhler, M., Casati, B., Chen, J.-H., Hudson, D., Ujiie, M., Amir Aziz, N., Bonavita, M., Ben Bouallègue, Z., de Burgh-Day, C., Chamberland, S., Cho, K., Coelho, C. A. S., Fadeev, R., Fuentes, M., Garcia-Franco, J. L., Gilbert, C., ... Potthast, R., ... Zhu, H. (Year). WP-MIP: An artificial intelligence, hybrid and physically based model intercomparison project for weather prediction. *Journal / Preprint* [[https://arxiv.org/pdf/2604.16643]] | * McTaggart-Cowan, R., Magnusson, L., Polichtchouk, I., Ackerley, D., Köhler, M., Casati, B., Chen, J.-H., Hudson, D., Ujiie, M., Amir Aziz, N., Bonavita, M., Ben Bouallègue, Z., de Burgh-Day, C., Chamberland, S., Cho, K., Coelho, C. A. S., Fadeev, R., Fuentes, M., Garcia-Franco, J. L., Gilbert, C., ... Potthast, R., ... Zhu, H. (2026). WP-MIP: An artificial intelligence, hybrid and physically based model intercomparison project for weather prediction. Preprint [[https://arxiv.org/pdf/2604.16643]] |
| * Gian Luca Buono, Stefanie Hollborn, Roland Potthast, Jörg Schäfer, Martin Simon, Learning Data-driven Surrogate and Correction Models for Satellite Observations in Numerical Weather Prediction, submitted [[https://arxiv.org/abs/2603.22037]] | * Gian Luca Buono, Stefanie Hollborn, Roland Potthast, Jörg Schäfer, Martin Simon, Learning Data-driven Surrogate and Correction Models for Satellite Observations in Numerical Weather Prediction, submitted [[https://arxiv.org/abs/2603.22037]] |
| * Angelo Campanale, Alija Bevrnja, Mario Raffa, Roland Potthast, Paola Mercogliano, Jan-Peter Schulz, xploring the regional coupled capabilities of the ICON modelling framework: the case of medicane Ianos, Atmospheric Research, accepted [[https://doi.org/10.1016/j.atmosres.2026.108975]] | * Campanale, A., Bevrnja, A., Raffa, M., Potthast, R., Mercogliano, P., & Schulz, J.-P. (2026). Exploring the regional coupled capabilities of the ICON modelling framework: The case of medicane Ianos. Atmospheric Research, 338, 108975. [[https://doi.org/10.1016/j.atmosres.2026.108975]] |
