Training Course Tutorials

5th DWD Training Course, Langen, April 2019
The ICON code that is used for this tutorial has been derived from the ICON release v2.3.00 with additional enhancements for ICON-LAM (state January 2019 ).

Reports on ICON

The series Reports on ICON allows for a fast and straightforward DOI-referenced publication of technical and scientific contributions around ICON.
Further information and access to the articles published so far is available on the following website:


Non-hydrostatic atmosphere:

  • Zängl, G. et al. (2015). The ICON (ICOsahedral Non-hydrostatic) modelling framework of DWD and MPI-M: Description of the non-hydrostatic dynamical core. Q. J. R. Meteorol. Soc. 141, 563–579.
  • Dipankar, A. et al. (2015). Large eddy simulation using the general circulation model ICON. Journal of Advances in Modeling Earth Systems, 7(3), 963–986.
  • Heinze, R. et al. (2017). Large-eddy simulations over Germany using ICON: a comprehensive evaluation. Q. J. R. Meteorol. Soc., 143(702), 69–100.
  • Giorgetta, M. A. et al. (2018). ICON‐A, the atmosphere component of the ICON Earth system model: I. Model description. Journal of Advances in Modeling Earth Systems, 10.
  • Crueger, T. et al. (2018). ICON-A, the atmosphere component of the ICON Earth system model: II. Model evaluation. Journal of Advances in Modeling Earth Systems, 10.
  • Borchert, S. et al. (2019). The upper-atmosphere extension of the ICON general circulation model (version: ua-icon-1.0). Geoscientific Model Development, 12, 3541-3569.

Hydrostatic atmosphere

  • Wan, H. et al. (2013): The ICON-1.2 hydrostatic atmospheric dynamical core on triangular grids. Part 1: Formulation and performance of the baseline version. Geoscientific Model Development, 6(3), 735–763.

External submodel for Aerosols and Reactive Trace gases (ART)

  • Schröter, J., Rieger, D., Stassen, C., Vogel, H., Weimer, M., Werchner, S., Förstner, J., Prill, F., Reinert, D., Zängl, G., Giorgetta, M., Ruhnke, R., Vogel, B., and Braesicke, P.: ICON-ART 2.1: a flexible tracer framework and its application for composition studies in numerical weather forecasting and climate simulations, Geosci. Model Dev., 11, 4043-4068,, 2018.
  • Rieger, D., Bangert, M., Bischoff-Gauss, I., Förstner, J., Lundgren, K., Reinert, D., Schröter, J., Vogel, H., Zängl, G., Ruhnke, R., and Vogel, B.: ICON–ART 1.0 – a new online-coupled model system from the global to regional scale, Geosci. Model Dev., 8, 1659-1676,, 2015.
  • Donner, L. J., O'Brien, T. A., Rieger, D., Vogel, B., and Cooke, W. F.: Are atmospheric updrafts a key to unlocking climate forcing and sensitivity?, Atmos. Chem. Phys., 16, 12983-12992,, 2016.
  • Weimer, M., Schröter, J., Eckstein, J., Deetz, K., Neumaier, M., Fischbeck, G., Hu, L., Millet, D. B., Rieger, D., Vogel, H., Vogel, B., Reddmann, T., Kirner, O., Ruhnke, R., and Braesicke, P.: An emission module for ICON-ART 2.0: implementation and simulations of acetone, Geosci. Model Dev., 10, 2471-2494,, 2017.
  • Gasch, P., Rieger, D., Walter, C., Khain, P., Levi, Y., Knippertz, P., and Vogel, B.: Revealing the meteorological drivers of the September 2015 severe dust event in the Eastern Mediterranean, Atmos. Chem. Phys., 17, 13573-13604,, 2017.
  • Rieger, D., Steiner, A., Bachmann, V., Gasch, P., Förstner, J., Deetz, K., Vogel, B., and Vogel, H.: Impact of the 4 April 2014 Saharan dust outbreak on the photovoltaic power generation in Germany, Atmos. Chem. Phys., 17, 13391-13415,, 2017.
  • Eckstein, J., Ruhnke, R., Pfahl, S., Christner, E., Dyroff, C., Reinert, D., Rieger, D., Schneider, M., Schröter, J., Zahn, A., and Braesicke, P.: From climatological to small scale applications: Simulating water isotopologues with ICON-ART-Iso (version 2.1), Geosci. Model Dev. Discuss.,, in review, 2017.


NWP physics Package

Microphysics (single moment/two moments)

  • Seifert, A. (2008): A Revised Cloud Microphysical Parameterization for COSMO-LME, COSMO News Letter No.7, 25-28,
  • Seifert, A. and Beheng, K. D. (2006): A two-moment cloud microphysics parameterization for mixed-phase clouds. Part 1: Model description, Meteorol. Atmos. Phys., 92, 45-66,

Fresh water lake

  • Mironov, D., Heise, E., Kourzeneva, E., Ritter, B., Schneider, S., Terzhevik, A. (2010): Implementation of the lake parameterisation scheme FLake into the numerical weather prediction model COSMO,
    Boreal Env. Res., 15, 218-230.


  • Mironov, D., Ritter, B., Schulz, J.-B., Buchhold, M., Lange, M., Machulskaya, E. (2012): Parameterization of sea and lake ice in numerical weather prediction models of the German Weather Service,
    Tellus A, 64, 17330, https://10.3402/tellusa.v64i0.17330

Libraries used by ICON



  • Climate Data Interface
    CDI is a C and Fortran Interface to access climate and NWP model data.
    Supported data formats are GRIB and NetCDF.