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
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.
Schlund, M., Hassler, B., Lauer, A., Eyring, V. et al. (2023). Evaluation of native Earth system model output with ESMValTool v2.6.0. Geosci. Model Dev. 16(1), 315–333, doi: https://doi.org/10.5194/gmd-16-315-2023.
Juricke, S., Bellinghausen, K., Danilov, S., Kutsenko, A. & Oliver, M. (2023). Scale analysis on unstructured grids: Kinetic energy and dissipation power spectra on triangular meshes. J. Adv. Model Earth Sy. 15, e2022MS003280, doi: https://doi.org/10.1029/2022MS003280.
Denamiel, C., Vasylkevych, S., Žagar, N., Zemunik, P. & Vilibić, I. (2023). Destructive potential of planetary meteotsunami waves beyond the Hunga Tonga–Hunga Ha’apai volcano eruption. B. Am. Meteorol. Soc. 104(1), E178–E191, doi: https://doi.org/10.1175/BAMS-D-22-0164.1.
Pohlmann, H., Brune, S., Fröhlich, K., Jungclaus, J.H., Sgoff, C. & Baehr, J. (2022). Impact of ocean data assimilation on climate predictions with ICON-ESM. Clim. Dyn., doi: https://doi.org/10.1007/s00382-022-06558-w.