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--- publications [2026/04/22 07:18] – [2026] potthast
+++ publications [2026/07/10 11:54] (current) – [2025] potthast
@@ Line 72: / Line 72: @@
 ==== 2026 ====
-  * McTaggart-Cowan, R., Magnusson, L., Polichtchouk, I., Ackerley, D., Köhler, M.,
+  * Schühl, L., Schomburg, A., Deppisch, T., Scheck, L., Schraff, C., Köpken‑Watts, C., Faulwetter, R., Potthast, R., & Weissmann, M. (2026). Operational assimilation of visible satellite observations in the regional ICON‑D2 model at DWD [Preprint].
-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.,
+  * 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]]
-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]]
   * 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]]
 ==== 2025 ====
+  * Valmassoi, A., Anlauf, H., Becker, A., Keller, J. D., Krebber, S., Zängl, G., Potthast, R., Cress, A., Fundel, F., Hanisch, T., Lange, M., Steinert, T., & Kaspar, F. (2025). ICON-DREAM: ICON-Dual resolution Reanalysis for Emulators, Applications and Monitoring: The ICON-Dual resolution reanalysis (Version 1.0) [Dataset]. Deutscher Wetterdienst. https://doi.org/10.5676/dwd/icon-dream_v1
   * Klaus Vobig, Roland Potthast, and Klaus Stephan: On process-oriented conditional targeted covariance inflation (TCI) for 3D-volume radar data assimilation, Volume 32, issue 4 Nonlinear Processes in Geophysics, 471–488, 2025 [[https://doi.org/10.5194/npg-32-471-2025]]