Articles | Volume 14, issue 9
Model description paper
03 Sep 2021
Model description paper |  | 03 Sep 2021

Mesoscale nesting interface of the PALM model system 6.0

Eckhard Kadasch, Matthias Sühring, Tobias Gronemeier, and Siegfried Raasch

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Cited articles

André, J. C., De Moor, G., Lacarrère, P., and du Vachat, R.: Modeling the 24-Hour Evolution of the Mean and Turbulent Structures of the Planetary Boundary Layer, J. Atmos. Sci., 35, 1861–1883,<1861:MTHEOT>2.0.CO;2, 1978. a
Baldauf, M., Seifert, A., Förstner, J., Majewski, D., Raschendorfer, M., and Reinhardt, T.: Operational Convective-Scale Numerical Weather Prediction with the COSMO Model: Description and Sensitivities, Mon. Weather Rev., 139, 3887–3905,, 2011. a, b, c, d
Baldauf, M., Förstner, J., Klink, S., Reinhardt, T., Schraff, C., Seifert, A., and Stephan, K.: Kurze Beschreibung des Lokal-Modells Kürzestfrist COSMO-DE (LMK) und seiner Datenbanken auf dem Datenserver des DWD, Tech. rep., Deutscher Wetterdienst, available at: (last access: 13 August 2021), version 2.3, 2014. a, b, c
Baldauf, M., Gebhardt, C., Theis, S., Ritter, B., and Schraff, C.: Beschreibung des operationellen Kürzesfristvorhersagemodells COSMO-D2 und COSMO-D2-EPS und seiner Ausgabe in die Datenbanken des DWD, Tech. rep., Deutscher Wetterdienst, available at: (last access: 13 August 2021), version 1.0, 2018. a, b
Brost, R. A., Wyngaard, J. C., and Lenschow, D. H.: Marine Stratocumulus Layers. Part II: Turbulence Budgets, J. Atmos. Sci., 39, 818–836,<0818:MSLPIT>2.0.CO;2, 1982. a, b, c, d, e
Short summary
In this paper, we provide a technical description of a newly developed interface for coupling the PALM model system 6.0 to the weather prediction model COSMO. The interface allows users of PALM to simulate the detailed atmospheric flow for relatively small regions of tens of kilometres under specific weather conditions, for instance, periods around observation campaigns or extreme weather situations. We demonstrate the interface using a benchmark simulation.