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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.

  • Banerjee, T., Scholz, P., Danilov, S., Klingbeil, K. & Sidorenko, D. (2024). Split-explicit external mode solver in the finite volume sea ice–ocean model FESOM2. Geosci. Model Dev., 17, 7051-7065, doi: https://doi.org/10.5194/gmd-17-7051-2024. 

  • Li, X., Chrysagi, E., Klingbeil, K., & Burchard, H. (2024). Impact of islands on tidally dominated river plumes: A high-resolution modeling study. Journal of Geophysical Research: Oceans, 129, e2023JC020272. doi: https://doi.org/10.1029/2023JC020272.

  • Brüggemann, N., Losch, M., Scholz, P., Pollmann, F., Danilov, S., Gutjahr, O., Jungclaus, J., Koldunov, N., Korn, P., Olbers, D., Eden, C. (2024). Parameterized Internal Wave Mixing in Three Ocean General Circulation Models. Journal of Advances in Modeling Earth Systems, 16, e2023MS003768. doi: https://doi.org/10.1029/2023MS003768

  • Kutsenko, A.A. (2024) Complete Left Tail Asymptotic for the Density of Branching Processes in the Schröder Case. J Fourier Anal Appl 30, 39. https://doi.org/10.1007/s00041-024-10096-w

  • Chang, Y., Li, X., Wang, Y.P., Klingbeil, K., Li, W., Zhang, F. & Burchard, H. (2024). Salinity mixing in a tidal multi-branched estuary with huge and variable runoff. Journal of Hydrology 634, 1-16, doi: https://doi.org/10.1016/j.jhydrol.2024.131094. 

  • Listowski, C., Stephan, C.C., Le Pichon, A., Hauchecorne, A., Kim, Y.-H., Achatz, U. & Bölöni, G. (2024). Stratospheric gravity waves impact on infrasound transmission losses across the International Monitoring System. Pure Appl. Geophys., doi: https://doi.org/10.1007/s00024-024-03467-3. 

  • Achatz, U., Alexander, M.J., Becker, E. et al. (2024). Atmospheric Gravity Waves: Processes and Parameterization. J. Atmos. Sci. 18, 237-262, doi: https://doi.org/10.1175/JAS-D-23-0210.1. 

  • Wang, Q., [...], Koldunov, N., [...], Scholz, P. et al (2024). Impact of increased resolution on Arctic Ocean simulations in Ocean Model Intercomparison Project phase 2 (OMIP-2). Geosci. Model Dev. 17, 347–379, doi: https://doi.org/10.5194/gmd-17-347-2024.

  • Li, X., [...], Danilov, S., Koldunov, N., [...] & Jung, T. (2024). Eddy activity in the Arctic Ocean projected to surge in a warming world. Nat. Clim. Chang., doi: https://doi.org/10.1038/s41558-023-01908-w.

  • 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.