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Coordinator

Ha Hagemann

Wikis 🔑 AIO and NEMO-Europe

Overall Objective

The main general aim is to improve the representation of the regional ocean and its interaction with the atmosphere in the COSMO-CLM and ICON-CLM.

State of the art, scientific developments

Regional climate models (RCMs) are tools for dynamical downscaling coarse results from global climate circulation models (CGCMsGCMs), which are nowadays mainly coupled atmosphere-ocean models (AOGCMs). Ideally, RCMs should be able to determine the regional climate without the influence of the CGCMsGCMs, except at the lateral boundaries. However, presently this is not the case for COSMO-CLM/ICON-CLM, since the lower boundary values over the sea are taken from the AOGCMs. This has a major impact on the quality of the regional model simulations as shown already for the Baltic Sea, the North Sea and the Mediterranean Sea. To overcome this problem regional coupled atmosphere-ocean models may be used for climate simulations. Several groups in the CLM-Community are working on the coupling of a regional ocean to COSMO-CLM/ICON-CLM.

Objectives of participating groups

• Improve the representation of the ocean and the interaction with the atmosphere in the COSMO-CLM (Goethe University Frankfurt, BiK-F)

• Better regional representation of the North Sea and Baltic Sea in climate simulations in the COSMO-CLM and ICON-CLM (Hereon, DWD)

• Simulating polynya processes in the Laptev Sea and the Weddell Sea with a fully coupled A-I-O model (University Trier)

• Assess the added value of high-resolution climatic hindcasts and scenarios for the Mediterranean when using coupled atmosphere-ocean models (IMK-TRO (KIT))

• To get better accuracy, since in the CIRA simulations the lower boundary values over the sea are taken from the global coupled model CMCC-MED. A better regional representation of the Mediterranean Sea is also important in order to increase the accuracy also for climate simulations of the Alpine space (CIRA)

• Carry out simulations over the Southern Ocean to investigate seasonal simulations covering the confluence region of the Brazil and Malvinas currents, where many oceanic eddies occur (C2SM-ETHZ). Thereby two major questions are addressed:
  - What is the impact of the highly resolved SST on fluxes between the atmosphere and the ocean and on the lower troposphere? Are highly resolved SSTs required to realistically represent fluxes of heat and freshwater in that region?
  - How are these processes affected by the coupling between the atmosphere and the ocean?

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Documents

2018 🔑 Annual WG Presentation at Assembly

2017🔑 Annual WG Presentation at Assembly

2011/08/26 Annual report 2011

2012/09/13   Annual report 2012

2013/09/17   Annual report 2013 

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Byrne, D., M. Münnich, I. Frenger, N. Gruber (2016): Mesoscale atmosphere-ocean coupling enhances the transfer of wind energy into the ocean, Nature Communications 7, doi:10.1038/ncomms11867

Gröger, M., Dieterich, C., Haapala, J., Ho-Hagemann, H.T.M., Hagemann, S., Jakacki, J., May, W., Meier, H.E.M., Miller, P.A., Rutgersson, A., & Wu, L. (2021): Coupled regional Earth system modeling in the Baltic Sea region. Earth Syst. Dynam., 12, 939–973, doi:10.5194/esd-12-939-2021

Hagemann, Stefan, & Ho-Hagemann, Ha T.M. (2021). The Hydrological Discharge Model - a river runoff component for offline and coupled model applications (5.1.0). Zenodo. https://doi.org/10.5281/zenodo.5707587

Ho-Hagemann, H.T.M. (2022). The OASIS3-MCT Coupling Interface for ICON-CLM (1.0.0). Zenodo. https://doi.org/10.5281/zenodo.5833118

Ho-Hagemann, H.T.M., Hagemann, S., Grayek, S., Petrik, R., Rockel, B., Staneva, J., Feser, F., & Schrum, C. (2020): Internal Model Variability of the Regional Coupled System Model GCOAST-AHOI. Atmosphere 2020, 11, 227, doi:10.3390/atmos11030227

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Rockel, B., J. Brauch, O. Gutjahr, N. Akhtar, H.T.M. Ho-Hagemann (2017): Gekoppelte Modellsysteme: Atmosphäre und Ozean. Promet - Meteorologische Fortbildung, 99, 65-75

Rockel, B. (2022). SPICE (Starter Package for ICON-CLM Experiments) (1.1). Zenodo. https://doi.org/10.5281/zenodo.6517710

Ruti P.M., S. Somot, F. Giorgi, C. Dubois, E. Flaounas, A. Obermann, A. Dell'Aquila, G. Pisacane, A. Harzallah, E. Lombardi, B. Ahrens, N. Akhtar, A. Alias, T. Arsouze, R. Aznar, S. Bastin, J. Bartholy, K. Béranger, J. Beuvier, S. Bouffies-Cloché, J. Brauch, W. Cabos, S. Calmanti, J.-C. Calvet, A. Carillo D. Conte, E. Coppola, V. Djurdjevic, P. Drobinski, A. Elizalde-Arellano, M. Gaertner, P. Galàn, C. Gallardo, S. Gualdi, M. Goncalves, O. Jorba, G. Jordà, B. L'Heveder, C. Lebeaupin-Brossier, L. Li, G. Liguori, P. Lionello, D. Maciàs-Moy, P. Nabat, B. Onol, B. Rajkovic, K. Ramage, F. Sevault, G. Sannino, M.V. Struglia, A. Sanna, C. Torma, V. Vervatis (2016): MED-CORDEX initiative for Mediterranean Climate studies. Bull. of the American Meteorological Society, 97(7), 1187-1208, doi: 10.1175/BAMS-D-14-00176.1

Wahle, K.; Staneva, J.; Koch, W.; Fenoglio-Marc, L.; Ho-Hagemann, H.T.M.; Stanev, E.V.: An atmosphere-wave regional coupled model: improving predictions of wave heights and surface winds in the southern North Sea. In: Ocean Science. Vol. 13 (2017) 2, 289 - 301. (DOI: 10.5194/os-13-289-2017)

Wiese, A., Staneva, J., Ho-Hagemann, H.T.M., Grayek, S., Koch, W., & Schrum, C. (2020): Internal Model Variability of Ensemble Simulations With a Regional Coupled Wave-Atmosphere Model GCOAST. Front. Mar. Sci. 7:596843, doi:10.3389/fmars.2020.596843

Will, A., N. Akhtar, J. Brauch, M. Breil, E. Davin, H. T. M. Ho-Hagemann, E. Maisonnave, M. Thürkow, and S. Weiher (2017): The COSMO-CLM 4.8 regional climate model coupled to regional ocean, land surface and global earth system models using OASIS3-MCT: description and performance. Geoscientific Model Development, 10:1549–1586, doi:10.5194/gmd-10-1549-2017

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