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The chemistry–climate model SOCOL version 3 (SOCOLv3) consists of the middle-atmosphere general circulation model (MA-GCM) ECHAM and a modified version of the chemistry-transport model (CTM) MEZON (Egorova et al., 2003; Schraner et al., 2008). The MA-GCM and CTM are interactively coupled via the exchange by the 3-dimensional fields of temperature and wind (from MA-GCM to CTM) and by the concentrations of radiatively active water vapor, ozone, methane, nitrous oxide, and chlorofluorocarbons (from CTM to MA-GCM). SOCOLv3 has 39 vertical levels (from the surface up to 0.01 hPa) and can be used with two horizontal resolutions (T31 and T42). The model can be run very efficiently in parallel mode. The model performance was successfully evaluated in the framework of International CCM Intercomparison projects: CCMVal2 (Eyring et al., 2008) and CCMI-1 (Hegglin et al., 2015). A detailed description of SOCOLv3 can be found in (Stenke et al., 2013). References Egorova, T., Rozanov, E., Zubov, V., and Karol, I. L.: Model for Investigating Ozone Trends (MEZON), Izvestiya, Atmos. Oceanic Phys., 39, 277–292, 2003 Schraner, M., Rozanov, E., Schnadt Poberaj, C., Kenzelmann, P., Fischer, A. M., Zubov, V., Luo, B. P., Hoyle, C. R., Egorova, T., Fueglistaler, S., Bronnimann, S., Schmutz, W., and Peter, T.: ¨ Technical Note: Chemistry-climate model SOCOL: version 2.0 with improved transport and chemistry/microphysics schemes, Atmos. Chem. Phys., 8, 5957–5974, doi:10.5194/ACP-8-5957- 2008, 2008 Eyring, V., Chipperfield, M., Giorgetta, M., Kinnison, D., Manzini, E., Matthes, K., Newman, P., Pawson, S., Shepherd, T., and Waugh, D.: Overview of the New CCMVal Reference and Sensitivity Simulations in Support of Upcoming Ozone and Climate Assessments and the Planned SPARC CCMVal, SPARC Newsletter No. 30, 20–26, http://www.atmosp.physics.utoronto.ca/SPARC/ Newsletter30Web/53294-1%20SPRAC%20Newsletter-LR.pdf, 2008 Stenke, A., Schraner, M., Rozanov, E., Egorova, T., Luo, B., and Peter, T.: The SOCOL version 3.0 chemistry–climate model: description, evaluation, and implications from an advanced transport algorithm, Geosci. Model Dev., 6, 1407–1427, https://doi.org/10.5194/gmd-6-1407-2013, 2013. Hegglin, M.I.; Lamarque, J.F.; Eyring, V.: The IGAC/SPARC Chemistry-Climate Model Initiative Phase-1 (CCMI-1) model data output. NCAS British Atmospheric Data Centre, http://catalogue.ceda.ac.uk/uuid/9cc6b94df0f4469d8066d69b5df879d5, 2015.
chemistry-climate model
chemistry-climate model
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