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Numerical Weather Prediction Model Coupling-Strategies, Challenges, and Outlook
Kousal, J.; Pelletier, C.; Denissen, J.M.C.; Schulte, L.; Keeley, S.; Dueben, P.; Penny, S.G.; Park, R.; Miralles, D.G.; Shapkalijevski, M.M.; Valmassoi, A.; Renfrew, I.; Zampieri, L.; Kumar, R.; Ruiz-Vasquez, M.; Schulz, J.; Wu, L.; Bagazgoitia, X.P. (2026). Numerical Weather Prediction Model Coupling-Strategies, Challenges, and Outlook. Bull. Am. Meteorol. Soc. 107(1): E183-E189. https://dx.doi.org/10.1175/BAMS-D-25-0270.1
In: Bulletin of the American Meteorological Society. American Meteorological Society: Easton, Pa.. ISSN 0003-0007; e-ISSN 1520-0477, more
Peer reviewed article  

Available in  Authors 

Author keywords
    Atmosphere;Ocean;Numerical weather prediction/ forecasting;Operational forecasting;Coupled models;Artificial intelligence;climate;diagnostics;drag

Authors  Top 
  • Kousal, J.
  • Pelletier, C., more
  • Denissen, J.M.C.
  • Schulte, L.
  • Keeley, S.
  • Dueben, P.
  • Penny, S.G.
  • Park, R.
  • Miralles, D.G., more
  • Shapkalijevski, M.M.
  • Valmassoi, A.
  • Renfrew, I.
  • Zampieri, L.
  • Kumar, R.
  • Ruiz-Vasquez, M.
  • Schulz, J.
  • Wu, L.
  • Bagazgoitia, X.P.

Abstract
    Workshop on Surface Process Coupling and Its Interactions with the Atmosphere What: This paper reports on the Workshop on surface process coupling and its interactions with the atmosphere that took place within the ECMWF 50th-year celebrations, alongside three other workshops and its Annual Seminar. The purpose of this workshop was to improve the representation of coupled processes to enhance future implementations of global numerical weather prediction models, focusing on coupling strategies and tools, conservation and consistency of the coupling, and differences in coupling strategies between physics-based and machine-learned models. See https:// events.ecmwf.int/event/432/ and https://events.ecmwf.int/event/427/ for more information on these events. When: 9-10 April 2025 Where: Bonn, Germany

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