Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.154 IF 5.154
  • IF 5-year value: 5.697 IF 5-year
    5.697
  • CiteScore value: 5.56 CiteScore
    5.56
  • SNIP value: 1.761 SNIP 1.761
  • IPP value: 5.30 IPP 5.30
  • SJR value: 3.164 SJR 3.164
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 59 Scimago H
    index 59
  • h5-index value: 49 h5-index 49
Volume 8, issue 8
Geosci. Model Dev., 8, 2435–2445, 2015
https://doi.org/10.5194/gmd-8-2435-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: The Modular Earth Submodel System (MESSy) (ACP/GMD inter-journal...

Geosci. Model Dev., 8, 2435–2445, 2015
https://doi.org/10.5194/gmd-8-2435-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

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 et al.

Related authors

Parameterizations for convective transport in various cloud-topped boundary layers
M. Sikma and H. G. Ouwersloot
Atmos. Chem. Phys., 15, 10399–10410, https://doi.org/10.5194/acp-15-10399-2015,https://doi.org/10.5194/acp-15-10399-2015, 2015
Short summary
Study of a prototypical convective boundary layer observed during BLLAST: contributions by large-scale forcings
H. P. Pietersen, J. Vilà-Guerau de Arellano, P. Augustin, A. van de Boer, O. de Coster, H. Delbarre, P. Durand, M. Fourmentin, B. Gioli, O. Hartogensis, F. Lohou, M. Lothon, H. G. Ouwersloot, D. Pino, and J. Reuder
Atmos. Chem. Phys., 15, 4241–4257, https://doi.org/10.5194/acp-15-4241-2015,https://doi.org/10.5194/acp-15-4241-2015, 2015
A comparison of HONO budgets for two measurement heights at a field station within the boreal forest in Finland
R. Oswald, M. Ermel, K. Hens, A. Novelli, H. G. Ouwersloot, P. Paasonen, T. Petäjä, M. Sipilä, P. Keronen, J. Bäck, R. Königstedt, Z. Hosaynali Beygi, H. Fischer, B. Bohn, D. Kubistin, H. Harder, M. Martinez, J. Williams, T. Hoffmann, I. Trebs, and M. Sörgel
Atmos. Chem. Phys., 15, 799–813, https://doi.org/10.5194/acp-15-799-2015,https://doi.org/10.5194/acp-15-799-2015, 2015
Short summary
Two perspectives on the coupled carbon, water and energy exchange in the planetary boundary layer
M. Combe, J. Vilà-Guerau de Arellano, H. G. Ouwersloot, C. M. J. Jacobs, and W. Peters
Biogeosciences, 12, 103–123, https://doi.org/10.5194/bg-12-103-2015,https://doi.org/10.5194/bg-12-103-2015, 2015
Short summary

Related subject area

Atmospheric Sciences
An adaptive method for speeding up the numerical integration of chemical mechanisms in atmospheric chemistry models: application to GEOS-Chem version 12.0.0
Lu Shen, Daniel J. Jacob, Mauricio Santillana, Xuan Wang, and Wei Chen
Geosci. Model Dev., 13, 2475–2486, https://doi.org/10.5194/gmd-13-2475-2020,https://doi.org/10.5194/gmd-13-2475-2020, 2020
Short summary
Satellite-derived leaf area index and roughness length information for surface–atmosphere exchange modelling: a case study for reactive nitrogen deposition in north-western Europe using LOTOS-EUROS v2.0
Shelley C. van der Graaf, Richard Kranenburg, Arjo J. Segers, Martijn Schaap, and Jan Willem Erisman
Geosci. Model Dev., 13, 2451–2474, https://doi.org/10.5194/gmd-13-2451-2020,https://doi.org/10.5194/gmd-13-2451-2020, 2020
Short summary
An online emission module for atmospheric chemistry transport models: implementation in COSMO-GHG v5.6a and COSMO-ART v5.1-3.1
Michael Jähn, Gerrit Kuhlmann, Qing Mu, Jean-Matthieu Haussaire, David Ochsner, Katherine Osterried, Valentin Clément, and Dominik Brunner
Geosci. Model Dev., 13, 2379–2392, https://doi.org/10.5194/gmd-13-2379-2020,https://doi.org/10.5194/gmd-13-2379-2020, 2020
Short summary
Representing model uncertainty for global atmospheric CO2 flux inversions using ECMWF-IFS-46R1
Joe R. McNorton, Nicolas Bousserez, Anna Agustí-Panareda, Gianpaolo Balsamo, Margarita Choulga, Andrew Dawson, Richard Engelen, Zak Kipling, and Simon Lang
Geosci. Model Dev., 13, 2297–2313, https://doi.org/10.5194/gmd-13-2297-2020,https://doi.org/10.5194/gmd-13-2297-2020, 2020
Short summary
Coupled online learning as a way to tackle instabilities and biases in neural network parameterizations: general algorithms and Lorenz 96 case study (v1.0)
Stephan Rasp
Geosci. Model Dev., 13, 2185–2196, https://doi.org/10.5194/gmd-13-2185-2020,https://doi.org/10.5194/gmd-13-2185-2020, 2020
Short summary

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.
Publications Copernicus
Download
Citation