Articles | Volume 11, issue 2
https://doi.org/10.5194/gmd-11-665-2018
https://doi.org/10.5194/gmd-11-665-2018
Development and technical paper
 | 
22 Feb 2018
Development and technical paper |  | 22 Feb 2018

The dynamical core of the Aeolus 1.0 statistical–dynamical atmosphere model: validation and parameter optimization

Sonja Totz, Alexey V. Eliseev, Stefan Petri, Michael Flechsig, Levke Caesar, Vladimir Petoukhov, and Dim Coumou

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Manuscript not accepted for further review
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Cited articles

Berger, A., Fichefet, T., Gallée, H., Tricot, C., and van Ypersele, J. P.: Entering the glaciation with a 2-D coupled climate model, Quaternary Sci. Rev., 11, 481–493, https://doi.org/10.1016/0277-3791(92)90028-7, 1992. 
Claussen, M., Mysak, L., Weaver, A., Crucifix, M., Fichefet, T., Loutre, M. F., Weber, S., Alcamo, J., Alexeev, V., Berger, A., Calov, R., Ganopolski, A., Goosse, H., Lohmann, G., Lunkeit, F., Mokhov, I., Petoukhov, V., Stone, P., and Wang, Z.: Earth system models of intermediate complexity: Closing the gap in the spectrum of climate system models, Clim. Dynam., 18, 579–586, https://doi.org/10.1007/s00382-001-0200-1, 2002. 
Coumou, D., Petoukhov, V., and Eliseev, A. V.: Three-dimensional parameterizations of the synoptic scale kinetic energy and momentum flux in the Earth's atmosphere, Nonlin. Processes Geophys., 18, 807–827, https://doi.org/10.5194/npg-18-807-2011, 2011. 
Dobrovolski, S. G.: Stochastic Climate Theory, Springer-Verlag Berlin Heidelberg, 2000. 
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