Articles | Volume 8, issue 8
https://doi.org/10.5194/gmd-8-2435-2015
https://doi.org/10.5194/gmd-8-2435-2015
Development and technical paper
 | 
05 Aug 2015
Development and technical paper |  | 05 Aug 2015

Revision of the convective transport module CVTRANS 2.4 in the EMAC atmospheric chemistry–climate model

H. G. Ouwersloot, A. Pozzer, B. Steil, H. Tost, and J. Lelieveld

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Cited articles

Arakawa, A.: The cumulus parameterization problem: past, present, and future, J. Climate, 17, 2493–2525, https://doi.org/10.1175/1520-0442(2004)017<2493:RATCPP>2.0.CO;2, 2004.
Bechtold, P., Cuijpers, J. W. M., Mascart, P., and Trouilhet, P.: Modeling of trade wind cumuli with a low-order turbulence model: toward a unified description of Cu and Sc clouds in meteorological models, J. Atmos. Sci., 52, 455–463, https://doi.org/10.1175/1520-0469(1995)052<0455:MOTWCW>2.0.CO;2, 1995.
Cuijpers, J. W. and Bechtold, P.: A simple parameterization of cloud water related variables for use in boundary layer models, J. Atmos. Sci., 52, 2486–2490, https://doi.org/10.1175/1520-0469(1995)052<2486:ASPOCW>2.0.CO;2, 1995.
Jöckel, P., Sander, R., Kerkweg, A., Tost, H., and Lelieveld, J.: Technical Note: The Modular Earth Submodel System (MESSy) – a new approach towards Earth System Modeling, Atmos. Chem. Phys., 5, 433–444, https://doi.org/10.5194/acp-5-433-2005, 2005.
Jöckel, P., Tost, H., Pozzer, A., Brühl, C., Buchholz, J., Ganzeveld, L., Hoor, P., Kerkweg, A., Lawrence, M. G., Sander, R., Steil, B., Stiller, G., Tanarhte, M., Taraborrelli, D., van Aardenne, J., and Lelieveld, J.: The atmospheric chemistry general circulation model ECHAM5/MESSy1: consistent simulation of ozone from the surface to the mesosphere, Atmos. Chem. Phys., 6, 5067–5104, https://doi.org/10.5194/acp-6-5067-2006, 2006.