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 9, issue 9
Geosci. Model Dev., 9, 3071–3091, 2016
https://doi.org/10.5194/gmd-9-3071-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 9, 3071–3091, 2016
https://doi.org/10.5194/gmd-9-3071-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Model description paper 06 Sep 2016

Model description paper | 06 Sep 2016

C-IFS-CB05-BASCOE: stratospheric chemistry in the Integrated Forecasting System of ECMWF

Vincent Huijnen et al.
Related authors  
Validation of reactive gases and aerosols in the MACC global analysis and forecast system
H. Eskes, V. Huijnen, A. Arola, A. Benedictow, A.-M. Blechschmidt, E. Botek, O. Boucher, I. Bouarar, S. Chabrillat, E. Cuevas, R. Engelen, H. Flentje, A. Gaudel, J. Griesfeller, L. Jones, J. Kapsomenakis, E. Katragkou, S. Kinne, B. Langerock, M. Razinger, A. Richter, M. Schultz, M. Schulz, N. Sudarchikova, V. Thouret, M. Vrekoussis, A. Wagner, and C. Zerefos
Geosci. Model Dev., 8, 3523–3543, https://doi.org/10.5194/gmd-8-3523-2015,https://doi.org/10.5194/gmd-8-3523-2015, 2015
Short summary
Evaluation of near-surface ozone over Europe from the MACC reanalysis
E. Katragkou, P. Zanis, A. Tsikerdekis, J. Kapsomenakis, D. Melas, H. Eskes, J. Flemming, V. Huijnen, A. Inness, M. G. Schultz, O. Stein, and C. S. Zerefos
Geosci. Model Dev., 8, 2299–2314, https://doi.org/10.5194/gmd-8-2299-2015,https://doi.org/10.5194/gmd-8-2299-2015, 2015
Short summary
The POLARCAT Model Intercomparison Project (POLMIP): overview and evaluation with observations
L. K. Emmons, S. R. Arnold, S. A. Monks, V. Huijnen, S. Tilmes, K. S. Law, J. L. Thomas, J.-C. Raut, I. Bouarar, S. Turquety, Y. Long, B. Duncan, S. Steenrod, S. Strode, J. Flemming, J. Mao, J. Langner, A. M. Thompson, D. Tarasick, E. C. Apel, D. R. Blake, R. C. Cohen, J. Dibb, G. S. Diskin, A. Fried, S. R. Hall, L. G. Huey, A. J. Weinheimer, A. Wisthaler, T. Mikoviny, J. Nowak, J. Peischl, J. M. Roberts, T. Ryerson, C. Warneke, and D. Helmig
Atmos. Chem. Phys., 15, 6721–6744, https://doi.org/10.5194/acp-15-6721-2015,https://doi.org/10.5194/acp-15-6721-2015, 2015
Short summary
Modeling global impacts of heterogeneous loss of HO2 on cloud droplets, ice particles and aerosols
V. Huijnen, J. E. Williams, and J. Flemming
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acpd-14-8575-2014,https://doi.org/10.5194/acpd-14-8575-2014, 2014
Revised manuscript not accepted
Related subject area  
Atmospheric Sciences
The upper-atmosphere extension of the ICON general circulation model (version: ua-icon-1.0)
Sebastian Borchert, Guidi Zhou, Michael Baldauf, Hauke Schmidt, Günther Zängl, and Daniel Reinert
Geosci. Model Dev., 12, 3541–3569, https://doi.org/10.5194/gmd-12-3541-2019,https://doi.org/10.5194/gmd-12-3541-2019, 2019
Short summary
Revised treatment of wet scavenging processes dramatically improves GEOS-Chem 12.0.0 simulations of surface nitric acid, nitrate, and ammonium over the United States
Gan Luo, Fangqun Yu, and James Schwab
Geosci. Model Dev., 12, 3439–3447, https://doi.org/10.5194/gmd-12-3439-2019,https://doi.org/10.5194/gmd-12-3439-2019, 2019
Short summary
Assessment of wavelet-based spatial verification by means of a stochastic precipitation model (wv_verif v0.1.0)
Sebastian Buschow, Jakiw Pidstrigach, and Petra Friederichs
Geosci. Model Dev., 12, 3401–3418, https://doi.org/10.5194/gmd-12-3401-2019,https://doi.org/10.5194/gmd-12-3401-2019, 2019
Short summary
The Eulerian urban dispersion model EPISODE – Part 2: Extensions to the source dispersion and photochemistry for EPISODE–CityChem v1.2 and its application to the city of Hamburg
Matthias Karl, Sam-Erik Walker, Sverre Solberg, and Martin O. P. Ramacher
Geosci. Model Dev., 12, 3357–3399, https://doi.org/10.5194/gmd-12-3357-2019,https://doi.org/10.5194/gmd-12-3357-2019, 2019
Short summary
The FireWork v2.0 air quality forecast system with biomass burning emissions from the Canadian Forest Fire Emissions Prediction System v2.03
Jack Chen, Kerry Anderson, Radenko Pavlovic, Michael D. Moran, Peter Englefield, Dan K. Thompson, Rodrigo Munoz-Alpizar, and Hugo Landry
Geosci. Model Dev., 12, 3283–3310, https://doi.org/10.5194/gmd-12-3283-2019,https://doi.org/10.5194/gmd-12-3283-2019, 2019
Short summary
Cited articles  
Atkinson, R., Baulch, D. L., Cox, R. A., Crowley, J. N., Hampson, R. F., Hynes, R. G., Jenkin, M. E., Rossi, M. J., Troe, J., and IUPAC Subcommittee: Evaluated kinetic and photochemical data for atmospheric chemistry: Volume II – gas phase reactions of organic species, Atmos. Chem. Phys., 6, 3625–4055, https://doi.org/10.5194/acp-6-3625-2006, 2006.
Bândă, N., Krol, M., van Weele, M., van Noije, T., Le Sager, P., and Röckmann, T.: Can we explain the observed methane variability after the Mount Pinatubo eruption?, Atmos. Chem. Phys., 16, 195–214, https://doi.org/10.5194/acp-16-195-2016, 2016.
BASCOE code: Belgian Assimilation System for Chemical ObsErvations (BASCOE), available at: http://bascoe.oma.be, last access: 31 August 2016.
Benedetti, A., Morcrette, J.-J., Boucher, O., Dethof, A., Engelen, R. J., Fisher, M., Flentje, H., Huneeus, N., Jones, L., Kaiser, J. W., Kinne, S., Mangold, A., Razinger, M., Simmons, A. J., Suttie, M., and the GEMS-AER team: Aerosol analysis and forecast in the European Centre for Medium-Range Weather Forecasts Integrated Forecast System: 2. Data assimilation, J. Geophys. Res., 114, D13205, https://doi.org/10.1029/2008JD011115, 2009.
Publications Copernicus
Download
Short summary
We present a model description and benchmark evaluation of an extension of the tropospheric chemistry module in the ECMWF Integrated Forecasting System (IFS) with stratospheric chemistry. The stratospheric chemistry originates from the one used in the Belgian Assimilation System for Chemical ObsErvations (BASCOE), and is here combined with the modified CB05 chemistry module for the troposphere as currently used operationally in the Copernicus Atmosphere Monitoring Service (CAMS).
We present a model description and benchmark evaluation of an extension of the tropospheric...
Citation