Articles | Volume 12, issue 4
https://doi.org/10.5194/gmd-12-1725-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-1725-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Quantifying uncertainties due to chemistry modelling – evaluation of tropospheric composition simulations in the CAMS model (cycle 43R1)
R&D Weather and Climate Modeling, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Andrea Pozzer
Air Chemistry Department, Max Planck Institute for Chemistry, Mainz, Germany
Joaquim Arteta
Centre National de Recherches Météorologiques Université
de Toulouse, Météo-France, CNRS, Toulouse, France
Guy Brasseur
Max Planck Institute for Meteorology, Hamburg, Germany
Idir Bouarar
Max Planck Institute for Meteorology, Hamburg, Germany
Simon Chabrillat
Royal Belgian Institute for Space Aeronomy, BIRA-IASB, 1080 Brussels,
Belgium
Yves Christophe
Royal Belgian Institute for Space Aeronomy, BIRA-IASB, 1080 Brussels,
Belgium
Thierno Doumbia
Centre National de Recherches Météorologiques Université
de Toulouse, Météo-France, CNRS, Toulouse, France
Johannes Flemming
European Centre for Medium-Range Weather Forecasts, Reading, RG2 9AX,
UK
Jonathan Guth
Centre National de Recherches Météorologiques Université
de Toulouse, Météo-France, CNRS, Toulouse, France
Béatrice Josse
Centre National de Recherches Météorologiques Université
de Toulouse, Météo-France, CNRS, Toulouse, France
Vlassis A. Karydis
Air Chemistry Department, Max Planck Institute for Chemistry, Mainz, Germany
Forschungszentrum Jülich, Institute of Energy and Climate Research IEK-8,
52425 Jülich, Germany
Virginie Marécal
Centre National de Recherches Météorologiques Université
de Toulouse, Météo-France, CNRS, Toulouse, France
Sophie Pelletier
Centre National de Recherches Météorologiques Université
de Toulouse, Météo-France, CNRS, Toulouse, France
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Latest update: 14 Dec 2024
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 modelling.
We report on an evaluation of tropospheric ozone and its precursor gases in three atmospheric...