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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/gmd-2018-331
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-2018-331
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Model evaluation paper 08 Jan 2019

Model evaluation paper | 08 Jan 2019

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This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Model Development (GMD).

Quantifying uncertainties due to chemistry modeling – evaluation of tropospheric composition simulations in the CAMS model

Vincent Huijnen1, Andrea Pozzer2, Joaquim Arteta3, Guy Brasseur4, Idir Bouarar4, Simon Chabrillat6, Yves Christophe6, Thierno Doumbia3, Johannes Flemming5, Jonathan Guth3, Béatrice Josse3, Vlassis A. Karydis2,7, Virginie Marécal3, and Sophie Pelletier3 Vincent Huijnen et al.
  • 1Royal Netherlands Meteorological Institute, De Bilt, The Netherlands
  • 2Max Planck Institute for Chemistry, Mainz, Germany
  • 3Centre National de Recherches Météorologiques Université de Toulouse, Météo-France, CNRS, Toulouse, France
  • 4Max Planck Institute for Meteorology, Hamburg, Germany
  • 5European Centre for Medium Range Weather Forecast, Reading, RG2 9AX, UK
  • 6Royal Belgian Institute for Space Aeronomy, BIRA-IASB, 1080 Brussels, Belgium
  • 7Forschungszentrum Jülich, Inst Energy & Climate Res IEK-8, D-52425 Jülich, Germany

Abstract. We report on an evaluation of tropospheric ozone and its precursor gases in three atmospheric chemistry versions as implemented in ECMWF’s Integrated Forecasting System (IFS), referred to as IFS(CB05BASCOE), IFS(MOZART) and IFS(MOCAGE). While the model versions were forced with the same overall meteorology, emissions, transport and deposition schemes, they vary largely in their parameterizations describing atmospheric chemistry, including the organics degradation, heterogeneous chemistry and photolysis, as well as chemical solver. The model results from the three chemistry versions are compared against a range of aircraft field campaigns, ozone sondes and satellite observations, which provides quantification of the overall model uncertainty driven by the chemistry parameterizations. We find that they produce similar patterns and magnitudes for carbon monoxide (CO) and ozone (O3), as well as a range of non-methane hydrocarbons (NMHCs), with averaged differences for O3 (CO) within 10% (20%) throughout the troposphere. Most of the divergence in the magnitude of NMHCs can be explained by differences in OH concentrations, which can reach up to 50% particularly at high latitudes. Also comparatively large discrepancies between model versions exist for NO2, SO2 and HNO3, which are strongly influenced by secondary chemical production and loss. Other, common biases in CO and NMHCs are mainly attributed to uncertainties in their emissions. This configuration of having various chemistry versions within IFS provides a quantification of uncertainties induced by chemistry modeling in the main CAMS global trace gas products beyond those that are constrained by data-assimilation.

Vincent Huijnen et al.
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Status: open (until 05 Mar 2019)
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Vincent Huijnen et al.
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Short summary
We report on an evaluation of tropospheric ozone and its precursor gases in three atmospheric chemistry versions as implemented in ECMWF’s Integrated Forecasting System (IFS), referred to as IFS(CB05BASCOE), IFS(MOZART) and IFS(MOCAGE). This configuration of having various chemistry versions within IFS provides a quantification of uncertainties in CAMS trace gas products that are induced by chemistry modeling.
We report on an evaluation of tropospheric ozone and its precursor gases in three atmospheric...
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