Articles | Volume 4, issue 7
https://doi.org/10.5194/acp-4-1781-2004
© Author(s) 2004. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
https://doi.org/10.5194/acp-4-1781-2004
© Author(s) 2004. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
08 Sep 2004
A quantitative analysis of grid-related systematic errors in oxidising capacity and ozone production rates in chemistry transport models
J. G. Esler
Department of Mathematics, University College London, UK
G. J. Roelofs
Institute for Marine and Atmospheric research, Utrecht – IMAU, The Netherlands
M. O. Köhler
Centre for Atmospheric Science, University of Cambridge, Cambridge, UK
F. M. O'Connor
Centre for Atmospheric Science, University of Cambridge, Cambridge, UK
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Cited
14 citations as recorded by crossref.
- Global tropospheric ozone modeling: Quantifying errors due to grid resolution O. Wild & M. Prather https://doi.org/10.1029/2005JD006605
- Effect of aerosol subgrid variability on aerosol optical depth and cloud condensation nuclei: implications for global aerosol modelling N. Weigum et al. https://doi.org/10.5194/acp-16-13619-2016
- Sensitivity to grid resolution in the ability of a chemical transport model to simulate observed oxidant chemistry under high-isoprene conditions K. Yu et al. https://doi.org/10.5194/acp-16-4369-2016
- Ship plume dispersion rates in convective boundary layers for chemistry models F. Chosson et al. https://doi.org/10.5194/acp-8-4841-2008
- Impacts of improved modeling resolution on the simulation of meteorology, air quality, and human exposure to PM2.5, O3 in Beijing, China H. Tao et al. https://doi.org/10.1016/j.jclepro.2019.118574
- Establishing Lagrangian connections between observations within air masses crossing the Atlantic during the International Consortium for Atmospheric Research on Transport and Transformation experiment J. Methven et al. https://doi.org/10.1029/2006JD007540
- Performance of European chemistry transport models as function of horizontal resolution M. Schaap et al. https://doi.org/10.1016/j.atmosenv.2015.04.003
- Toward a novel high‐resolution modeling approach for the study of chemical evolution of pollutant plumes during long‐range transport E. Real et al. https://doi.org/10.1029/2009JD011707
- The impact of resolution on ship plume simulations with NOx chemistry C. Charlton-Perez et al. https://doi.org/10.5194/acp-9-7505-2009
- Estimation of mixing in the troposphere from Lagrangian trace gas reconstructions during long‐range pollution plume transport I. Pisso et al. https://doi.org/10.1029/2008JD011289
- Comparison and visualisation of high‐resolution transport modelling with aircraft measurements F. O'Connor et al. https://doi.org/10.1002/asl.111
- Quantifying errors in trace species transport modeling M. Prather et al. https://doi.org/10.1073/pnas.0806541106
- Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model Z. Stock et al. https://doi.org/10.5194/acp-14-3899-2014
- Sensitivity of chemistry-transport model simulations to the duration of chemical and transport operators: a case study with GEOS-Chem v10-01 S. Philip et al. https://doi.org/10.5194/gmd-9-1683-2016
14 citations as recorded by crossref.
- Global tropospheric ozone modeling: Quantifying errors due to grid resolution O. Wild & M. Prather https://doi.org/10.1029/2005JD006605
- Effect of aerosol subgrid variability on aerosol optical depth and cloud condensation nuclei: implications for global aerosol modelling N. Weigum et al. https://doi.org/10.5194/acp-16-13619-2016
- Sensitivity to grid resolution in the ability of a chemical transport model to simulate observed oxidant chemistry under high-isoprene conditions K. Yu et al. https://doi.org/10.5194/acp-16-4369-2016
- Ship plume dispersion rates in convective boundary layers for chemistry models F. Chosson et al. https://doi.org/10.5194/acp-8-4841-2008
- Impacts of improved modeling resolution on the simulation of meteorology, air quality, and human exposure to PM2.5, O3 in Beijing, China H. Tao et al. https://doi.org/10.1016/j.jclepro.2019.118574
- Establishing Lagrangian connections between observations within air masses crossing the Atlantic during the International Consortium for Atmospheric Research on Transport and Transformation experiment J. Methven et al. https://doi.org/10.1029/2006JD007540
- Performance of European chemistry transport models as function of horizontal resolution M. Schaap et al. https://doi.org/10.1016/j.atmosenv.2015.04.003
- Toward a novel high‐resolution modeling approach for the study of chemical evolution of pollutant plumes during long‐range transport E. Real et al. https://doi.org/10.1029/2009JD011707
- The impact of resolution on ship plume simulations with NOx chemistry C. Charlton-Perez et al. https://doi.org/10.5194/acp-9-7505-2009
- Estimation of mixing in the troposphere from Lagrangian trace gas reconstructions during long‐range pollution plume transport I. Pisso et al. https://doi.org/10.1029/2008JD011289
- Comparison and visualisation of high‐resolution transport modelling with aircraft measurements F. O'Connor et al. https://doi.org/10.1002/asl.111
- Quantifying errors in trace species transport modeling M. Prather et al. https://doi.org/10.1073/pnas.0806541106
- Representing ozone extremes in European megacities: the importance of resolution in a global chemistry climate model Z. Stock et al. https://doi.org/10.5194/acp-14-3899-2014
- Sensitivity of chemistry-transport model simulations to the duration of chemical and transport operators: a case study with GEOS-Chem v10-01 S. Philip et al. https://doi.org/10.5194/gmd-9-1683-2016
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