Search Results - S. Versick
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mloz: A Highly Efficient Machine Learning-Based Ozone Parameterization for Climate Sensitivity Simulations Autoría: Ma, Yiling, Abraham, Nathan Luke, Versick, Stefan, Ruhnke, Roland, Schneidereit, Andrea, Niemeier, Ulrike, Back, Felix, Braesicke, Peter, Nowack, Peer
Published 2025Fuente: arXivTipo de material: PreprintAcceso al recurso -
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Comparison between non‐orographic gravity‐wave parameterizations used in QBOi models and Strateole 2 constant‐level balloons Autoría: F. Lott, R. Rani, C. McLandress, A. Podglajen, A. Bushell, M. Bramberger, H.‐K. Lee, J. Alexander, J. Anstey, H.‐Y. Chun, A. Hertzog, N. Butchart, Y.‐H. Kim, Y. Kawatani, B. Legras, E. Manzini, H. Naoe, S. Osprey, R. Plougonven, H. Pohlmann, J. H. Richter, J. Scinocca, J. García‐Serrano, F. Serva, T. Stockdale, S. Versick, S. Watanabe, K. Yoshida
Published 2024Fuente: Wiley Open AccessTipo de material: Artículo Open AccessAcceso al recurso