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.
Objectives
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.
Publications
Hutter, N., Bouchat, A., Koldunov, N., Losch, M. et al. (2022). Sea Ice Rheology Experiment (SIREx): 2. Evaluating linear kinematic features in high-resolution sea ice simulations. J. Geophys. Res.- Oceans 127, e2021JC017666, doi: https://doi.org/10.1029/2021JC017666.
Jungclaus, J. H., Brüggemann, N., Gutjahr, O., von Storch, J.S., Korn, P. et al. (2022). The ICON Earth System Model Version 1.0. J. Adv. Model Earth Sy. 14, e2021MS002813, doi: https://doi.org/10.1029/2021MS002813.
Khosravi, N., Wang, Q., Koldunov, N., Danilov, S., Jung, T. et al. (2022). The Arctic Ocean in CMIP6 models: Biases and projected changes in temperature and salinity. Earth's Future 10(2), e2021EF002282, doi: https://doi.org/10.1029/2021EF002282.
Danilov, S., Mehlmann, C. & Fofonova, V. (2022). On discretizing sea-ice dynamics on triangular meshes using vertex, cell or edge velocities. Ocean Modelling 170, 101937, doi: https://doi.org/10.1016/j.ocemod.2021.101937.
Dima, M., Lohmann, G., Scholz, P. et al. (2022). AMOC modes linked with distinct North Atlantic deep water formation sites. Clim. Dyn. 59, 837–849, doi: https://doi.org/10.1007/s00382-022-06156-w.
Scholz, P., Sidorenko, D., Danilov, S., Wang, Q., Koldunov, N., Sein, D., & Jung, T. (2022). Assessment of the Finite-VolumE Sea ice–Ocean Model (FESOM2.0) – Part 2: Partial bottom cells, embedded sea ice and vertical mixing library CVMix. Geosci. Model Dev. 15(2), 335–363, doi: https://doi.org/10.5194/gmd-15-335-2022.
Schmid, F., Gagarina, E., Klein, R. & Achatz, U. (2021). Toward a Numerical Laboratory for Investigations of Gravity Wave–Mean Flow Interactions in the Atmosphere. Mon. Wea. Rev. 149, 4005–4026, doi: https://doi.org/10.1175/MWR-D-21-0126.1.
Danilov, S., Koldunov, N., Sidorenko, D. et al. (2021). On the damping time scale of EVP sea ice dynamics. J. Adv. Model Earth Sy. 13(10), e2021MS002561, doi: https://doi.org/10.1029/2021MS002561.
Sidorenko, D., Danilov, S., Streffing, J., Juricke, S., Jung, T., Koldunov, N. et al. (2021). AMOC variability and watermass transformations in the AWI climate model. J. Adv. Model Earth Sy. 13, e2021MS002582, doi: https://doi.org/10.1029/2021MS002582.
Gutjahr, O., Brüggemann, N., Haak, H., Jungclaus, J. H., Putrasahan, D. A., Lohmann, K. & von Storch, J.-S. (2021). Comparison of ocean vertical mixing schemes in the Max Planck Institute Earth System Model (MPI-ESM1.2). Geosci. Model Dev., 14, 2317–2349, doi: https://doi.org/10.5194/gmd-14-2317-2021.