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--- publications [2026/03/30 11:41] – [2025] potthast
+++ publications [2026/04/22 07:23] (current) – [2026] potthast
@@ Line 71: / Line 71: @@
 ==== 2026 ====
+  * 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]]
-  * 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.
+  * 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]]
 ==== 2025 ====