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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 11, issue 5
Geosci. Model Dev., 11, 1695-1723, 2018
https://doi.org/10.5194/gmd-11-1695-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 11, 1695-1723, 2018
https://doi.org/10.5194/gmd-11-1695-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Model description paper 04 May 2018

Model description paper | 04 May 2018

The chemistry–climate model ECHAM6.3-HAM2.3-MOZ1.0

Martin G. Schultz1,a, Scarlet Stadtler1, Sabine Schröder1, Domenico Taraborrelli1, Bruno Franco1,b, Jonathan Krefting2, Alexandra Henrot3, Sylvaine Ferrachat4, Ulrike Lohmann4, David Neubauer4, Colombe Siegenthaler-Le Drian5, Sebastian Wahl6, Harri Kokkola7, Thomas Kühn7, Sebastian Rast8, Hauke Schmidt8, Philip Stier9, Doug Kinnison10, Geoffrey S. Tyndall10, John J. Orlando10, and Catherine Wespes11 Martin G. Schultz et al.
  • 1Institut für Energie- und Klimaforschung, IEK-8, Forschungszentrum Jülich, Jülich, Germany
  • 2Meteorologisches Institut, Universität Bonn, Bonn, Germany
  • 3Unité de Modélisation du Climat et des Cycles Biogéochimiques, University of Liège, Liège, Belgium
  • 4Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
  • 5Centre for Climate Systems Modeling (C2SM), ETH Zurich, Zurich, Switzerland
  • 6GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany
  • 7Finnish Meteorological Institute, Atmospheric Research Centre of Eastern Finland, Kuopio, Finland
  • 8Max Planck Institute for Meteorology, Hamburg, Germany
  • 9Atmospheric, Oceanic and Planetary Physics, Department of Physics, University of Oxford, Oxford, UK
  • 10NCAR, Atmospheric Chemistry Observations & Modeling, Boulder, CO, USA
  • 11Université Libre de Bruxelles (ULB), Service de Chimie Quantique et Photophysique, Brussels, Belgium
  • anow at: Jülich Supercomputing Center, Forschungszentrum Jülich, Jülich, Germany
  • bnow at: Université Libre de Bruxelles (ULB), Service de Chimie Quantique et Photophysique, Brussels, Belgium

Abstract. The chemistry–climate model ECHAM-HAMMOZ contains a detailed representation of tropospheric and stratospheric reactive chemistry and state-of-the-art parameterizations of aerosols using either a modal scheme (M7) or a bin scheme (SALSA). This article describes and evaluates the model version ECHAM6.3-HAM2.3-MOZ1.0 with a focus on the tropospheric gas-phase chemistry. A 10-year model simulation was performed to test the stability of the model and provide data for its evaluation. The comparison to observations concentrates on the year 2008 and includes total column observations of ozone and CO from IASI and OMI, Aura MLS observations of temperature, HNO3, ClO, and O3 for the evaluation of polar stratospheric processes, an ozonesonde climatology, surface ozone observations from the TOAR database, and surface CO data from the Global Atmosphere Watch network. Global budgets of ozone, OH, NOx, aerosols, clouds, and radiation are analyzed and compared to the literature. ECHAM-HAMMOZ performs well in many aspects. However, in the base simulation, lightning NOx emissions are very low, and the impact of the heterogeneous reaction of HNO3 on dust and sea salt aerosol is too strong. Sensitivity simulations with increased lightning NOx or modified heterogeneous chemistry deteriorate the comparison with observations and yield excessively large ozone budget terms and too much OH. We hypothesize that this is an impact of potential issues with tropical convection in the ECHAM model.

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The chemistry–climate model ECHAM-HAMMOZ contains a detailed representation of tropospheric and stratospheric reactive chemistry and state-of-the-art parameterizations of aerosols. It thus allows for detailed investigations of chemical processes in the climate system. Evaluation of the model with various observational data yields good results, but the model has a tendency to produce too much OH in the tropics. This highlights the important interplay between atmospheric chemistry and dynamics.
The chemistry–climate model ECHAM-HAMMOZ contains a detailed representation of tropospheric and...
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