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Synthesis Area S: Climate models as metrics

Our scientists in Area S will implement new parameterisations and numerics into two national leading coupled climate models and test their performance. Therefore, they provide a metric for the success of the whole project.

Synthesis of all areas

During the course of the project, Area S will use the results (e.g. new parameterizations or refined model set ups) of the other areas in the projects to further enhance and improve climate models.

  • Koldunov, N. & Jung, T. (2024). Local climate services for all, courtesy of large language models. Commun. Earth Environ. 5(13), doi: https://doi.org/10.1038/s43247-023-01199-1.

  • Henell, E., Burchard, H., Gräwe, U. & Klingbeil, K. (2023). Spatial composition of the diahaline overturning circulation in a fjord-type, non-tidal estuarine system. J. Geophys. Res. - Oceans 128, e2023JC019862, doi: https://doi.org/10.1029/2023JC019862. 

  • Achatz, U., Kim, Y.-H. & Voelker, G.S. (2023). Multi-Scale Dynamics of the Interaction Between Waves and Mean Flows: From Nonlinear WKB Theory to Gravity-Wave Parameterizations in Weather and Climate Models. J. Math. Phys. 64(11), 111101, doi: https://doi.org/10.1063/5.0165180. 

  • Eden, C. (2023). A simple eddy potential vorticity flux closure. Journal of Advances in Modeling Earth Systems 15(10), e2023MS003711, doi: https://doi.org/10.1029/2023MS003711. 

  • Dolaptchiev, S.D., Spichtinger, P., Baumgartner, M. & Achatz, U. (2023). Interactions between gravity waves and cirrus clouds: asymptotic modeling of wave induced ice nucleation. J. Atmos. Sci. 80(12), 2861–2879, doi: https://doi.org/10.1175/JAS-D-22-0234.1.

  • Zhao, Y.-B., Žagar, N., Lunkeit, F. & Blender, R. (2023). Atmospheric bias teleconnections in boreal winter associated with systematic sea surface temperature errors in the tropical Indian Ocean. Weather Clim. Dynam. 4(4), 833–852, doi: https://doi.org/10.5194/wcd-4-833-2023.

  • Reinert, M., Lorenz, M., Klingbeil, K., Büchmann, B., & Burchard, H. (2023). High-Resolution Simulations of the Plume Dynamics in an Idealized 79°N Glacier Cavity Using Adaptive Vertical Coordinates. J. Adv. Model Earth Sy. 15(10), e2023MS003721, doi: https://doi.org/10.1029/2023MS003721. 

  • Shi, J., Stepanek, C., Sein, D., Streffing, J., & Lohmann, G. (2023). East Asian summer precipitation in AWI-CM3: Comparison with observations and CMIP6 models. International Journal of Climatology, 1– 16, doi: https://doi.org/10.1002/joc.8075. 

  • Olbers, D., Pollmann, F., Patel, A. & Eden, C. (2023). A model of energy and spectral shape for the internal gravity wave field in the deep-sea – The parametric IDEMIX model. J. Phys.Oceanogr. 53(5), doi: https://doi.org/10.1175/JPO-D-22-0147.1.

  • Hohenegger, C., Korn, P., Brüggemann, N., Gutjahr, O., Jungclaus, J., Shevchenko, R., von Storch, J.S. et al. (2023). ICON-Sapphire: simulating the components of the Earth system and their interactions at kilometer and subkilometer scales. Geosci. Model Dev. 16, 779–811, doi: https://doi.org/10.5194/gmd-16-779-2023.