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Process-oriented simulations

CLaMS (Chemical Lagrangian Model of the Stratosphere), developed by IEK-7, utilises a unique transport and mixing scheme, which was optimized based on observations. The model is a world leader in simulating exchange processes in the atmosphere across transport barriers such as stratosphere-troposphere exchange. A detailed cirrus model is included in CLaMS-Ice based on MAID. In addition to event-based simulation, the model is now increasingly used to study interannual and decadal variability of the atmosphere [1, 2, 3, 4].

For a realistic representation of UTLS transport processes (advection and mixing), CLaMS is also currently coupled into the EMAC framework [5, 6]. This approach provides a bridge between process-oriented simulations based on observations and climate and weather predictions. The initiative is supported by the simulation laboratory “Climate” of the Jülich Supercomputing Centre (JSC). An important next step is the transition from the ECHAM (spectral approach) towards the new German core model ICON, the next-generation grid point model developed by DWD and MPI-M.


  1. Plöger, F. et al. 2015, J. Geophys. Res.-A. 120: 716-733, doi:10.1002/2014JD022468.
  2. Plöger, F. et al. 2015, Geophys. Res. Lett. 42: 2047-2054, doi:10.1002/2014GL062927.
  3. Tao, M. et al. 2015, Geophys. Res. Lett. 42: 4599-4607, doi:10.1002/2015GL064443.
  4. Konopka, P. et al. 2016, J. Geophys. Res.-A. 121: (19), 11486-11501, doi:10.1002/2015JD024698.
  5. Hoppe, C. et al. 2014, Geosci. Model Dev. 7: 2639-2651, doi:10.5194/gmd-7-2639-2014.
  6. Hoppe, C. et al. 2016, Atmos. Chem. Phys. 16: (10), 6223-6239, doi:10.5194/acp-16-6223-2016.