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Area S: Synthesis with Climate Models

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.

  • Georgiou, S., Ypma, S. L., Brüggemann, N., Sayol, J-M., van der Boog, C. G., Spence, P., et al. (2021). Direct and indirect pathways of convected water masses and their impacts on the overturning dynamics of the Labrador Sea. J. Geophys. Res. Oceans 126, e2020JC01665, doi: https://doi.org/10.1029/2020JC016654. 

  • Sidorenko, D., Danilov, S., Koldunov, N. et al. (2020). AMOC, Water Mass Transformations, and Their Responses to Changing Resolution in the Finite-VolumE Sea Ice-Ocean Model. J. Adv. Model Earth Sy. 12(12), e2020MS00231, doi: https://doi.org/10.1029/2020MS002317. 

  • Chassignet, E.P., Yeager, S.G., Koldunov, N. et al. (2020). Impact of horizontal resolution on global ocean-sea-ice model simulations based on the experimental protocols of the Ocean Model Intercomparison Project phase 2 (OMIP-2). Geosci. Model Dev. 13, 4595–4637, doi: https://doi.org/10.5194/gmd-2019-374. 

  • Semmler, T., Danilov, S., Koldunov, N. et al. (2020). Simulations for CMIP6 With the AWI Climate Model AWI-CM-1-1. J. Adv. Model Earth Sy. 12(9), doi: https://doi.org/10.1029/2019MS002009. 

  • Tsujino, H., Urakawa, S., Koldunov, N., et al. (2020). Evaluation of global ocean–sea-ice model simulations based on the experimental protocols of the Ocean Model Intercomparison Project phase 2 (OMIP-2). Geosci. Model Dev. 13(8), 3643–3708, doi: https://doi.org/10.5194/gmd-13-3643-2020. 

  • Eyring, V., Bock, L., Lauer, A., Righi, M., Schlund, M., Andela, B., Arnone, E., Bellprat, O., Brötz, B., Caron, L.-P., Carvalhais, N., Cionni, I., Cortesi, N., Crezee, B., Davin, E. L., Davini, P., Debeire, K., de Mora, L., Deser, C., Docquier, D., Earnshaw, P., Ehbrecht, C., Gier, B. K., Gonzalez-Reviriego, N., Goodman, P., Hagemann, S., Hardiman, S., Hassler, B., Hunter, A., Kadow, C., Kindermann, S., Koirala, S., Koldunov, N., Lejeune, Q., Lembo, V., Lovato, T., Lucarini, V., Massonnet, F., Müller, B., Pandde, A., Pérez-Zanón, N., Phillips, A., Predoi, V., Russell, J., Sellar, A., Serva, F., Stacke, T., Swaminathan, R., Torralba, V., Vegas-Regidor, J., von Hardenberg, J., Weigel, K., and Zimmermann, K. (2020). Earth System Model Evaluation Tool (ESMValTool) v2.0 – an extended set of large-scale diagnostics for quasi-operational and comprehensive evaluation of Earth system models in CMIP. Geosci. Model Dev. 13, 3383–3438, doi: https://doi.org/10.5194/gmd-13-3383-2020. 

  • Sidorenko, D., Danilov, S., Koldunov, N. et al. (2020). Simple algorithms to compute meridional overturning and barotropic streamfunction on unstructured meshes. Geosci. Model Dev. 13(7), doi: https://doi.org/10.5194/gmd-13-3337-2020.

  • Wang, Q., Koldunov, N., Danilov, S. et al. (2020). Eddy Kinetic Energy in the Arctic Ocean from a Global Simulation with a 1-km Arctic. Geophys. Res. Lett. 47, e2020GL088550, doi: https://doi.org/10.1029/2020GL088550.

  • Sein, D.V., Gröger, M., Koldunov, N., et al. (2020). Regionally Coupled Atmosphere-Ocean-Marine Biogeochemistry Model ROM: 2. Studying the Climate Change Signal in the North Atlantic and Europe. J. Adv. Model Earth Sy. 12(8), doi: https://doi.org/10.1029/2019MS001646. 

  • Lembo, V., Lucarini, V., & Ragone, F. (2019). Beyond Forcing Scenarios: Predicting Climate Change through Response Operators in a Coupled General Circulation Model. Sci. Rep., doi: 10.1038/S41598-020-65297-2.