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--- publications [2026/04/22 07:23] – [2026] potthast
+++ publications [2026/04/22 07:23] (current) – [2026] potthast
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 ==== 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]]
+  * 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]]