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WP-MIP: An Artificial Intelligence, Hybrid and Physically Based Model Intercomparison Project for Weather Prediction

Fuente: arXiv
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Bibliographic Details
Main Authors: McTaggart-Cowan, Ron, Magnusson, Linus, Polichtchouk, Inna, Ackerley, Duncan, Koehler, Martin, Casati, Barbara, Chen, Jan-Huey, Hudson, Debra, Ujiie, Masashi, Aziz, Nurizana Amir, Bonavita, Massimo, Bouallegue, Zied Ben, de Burgh-Day, Catherine, Chamberland, Stephane, Cho, Kyounngmi, Coelho, Caio A. S., Fadeev, Rostislav, Fuentes, Manuel, Franco, Jorge L. Garcia, Gilbert, Claude, Guimaraes, Bruno S., Harris, Chris, Harrold, Michelle, Husain, Syed, James, Molly, Kaltenbaugh, Alex, Koch, Marta, Kubota, Paulo Y., Lee, Eun-Hee, Li, Chen, Li, Wei, Li, Weiwei, Loveday, Nicholas, Lussana, Chrstian, Maalick, Zubiar, Mateyisi, Mohau J., McGovern, Amy, van der Merwe, Koos, Miller, Joel, Mittermaier, Marion, Mladek, Richard, Newman, Kathryn, Neves, Andre L. O., Pill, John, Potthast, Roland, Pradhan, Maheswar, Rath, Subhrajit, Richardson, David S., Separovic, Leo, Reboita, Michelle Simoes, Skok, Gregor, Srivastava, Ankur, Tolstykh, Mikhail, Wang, Zhuo, Woodham, Beth J., Yang, Fanglin, Zaripov, Radomir, Zhang, Gan, Zhu, Hongyan
Format: Preprint
Published: 2026
Subjects:
Atmospheric and Oceanic Physics
Online Access:
Acceder al recurso
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