Articles | Volume 15, issue 13
https://doi.org/10.5194/acp-15-7703-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-15-7703-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
14 Jul 2015
Research article |
| 14 Jul 2015
Climate-forced air-quality modeling at the urban scale: sensitivity to model resolution, emissions and meteorology
K. Markakis
CORRESPONDING AUTHOR
Laboratoire de Meteorologie Dynamique, IPSL Laboratoire CEA/CNRS/UVSQ, Ecole Polytechnique, 91128 Palaiseau CEDEX, France
M. Valari
Laboratoire de Meteorologie Dynamique, IPSL Laboratoire CEA/CNRS/UVSQ, Ecole Polytechnique, 91128 Palaiseau CEDEX, France
O. Perrussel
AIRPARIF, Association de surveillance de qualité de l'air en Île-de-France, 7 rue Crillon, 75004, Paris, France
O. Sanchez
AIRPARIF, Association de surveillance de qualité de l'air en Île-de-France, 7 rue Crillon, 75004, Paris, France
C. Honore
AIRPARIF, Association de surveillance de qualité de l'air en Île-de-France, 7 rue Crillon, 75004, Paris, France
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33 citations as recorded by crossref.
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- The impact of monthly variation of the Pacific–North America (PNA) teleconnection pattern on wintertime surface-layer aerosol concentrations in the United States J. Feng et al. 10.5194/acp-16-4927-2016
- Impact of residential combustion and transport emissions on air pollution in Santiago during winter A. Mazzeo et al. 10.1016/j.atmosenv.2018.06.043
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- The regional impact of urban emissions on air quality in Europe: the role of the urban canopy effects P. Huszar et al. 10.5194/acp-21-14309-2021
- Parallel Implementation of a Sensitivity Operator-Based Source Identification Algorithm for Distributed Memory Computers A. Penenko & E. Rusin 10.3390/math10234522
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- Impact of urban canopy meteorological forcing on aerosol concentrations P. Huszar et al. 10.5194/acp-18-14059-2018
- Impact of meteorological parameterization schemes on CTM model simulations N. Srivastava & N. Blond 10.1016/j.atmosenv.2021.118832
- A multi-pollutant and multi-sectorial approach to screening the consistency of emission inventories P. Thunis et al. 10.5194/gmd-15-5271-2022
- Air pollution modelling in urban environment based on a priori and reconstructed data A. Gochakov et al. 10.1088/1755-1315/211/1/012050
- Are contributions of emissions to ozone a matter of scale? – a study using MECO(n) (MESSy v2.50) M. Mertens et al. 10.5194/gmd-13-363-2020
- On the long-term impact of emissions from central European cities on regional air quality P. Huszar et al. 10.5194/acp-16-1331-2016
- Impact of urbanization on fine particulate matter concentrations over central Europe P. Huszar et al. 10.5194/acp-24-397-2024
- Direct Impacts of Global Climate Change on Urban Areas R. José et al. 10.18178/ijesd.2017.8.3.949
- Urban canopy meteorological forcing and its impact on ozone and PM<sub>2.5</sub>: role of vertical turbulent transport P. Huszar et al. 10.5194/acp-20-1977-2020
- Sensitivity Operator Framework for Analyzing Heterogeneous Air Quality Monitoring Systems A. Penenko et al. 10.3390/atmos12121697
- An exploratory performance assessment of the CHIMERE model (version 2017r4) for the northwestern Iberian Peninsula and the summer season S. Brands et al. 10.5194/gmd-13-3947-2020
- The regional impact of urban emissions on climate over central Europe: present and future emission perspectives P. Huszár et al. 10.5194/acp-16-12993-2016
- Emission ensemble approach to improve the development of multi-scale emission inventories P. Thunis et al. 10.5194/gmd-17-3631-2024
- The influence of model spatial resolution on simulated ozone and fine particulate matter for Europe: implications for health impact assessments S. Fenech et al. 10.5194/acp-18-5765-2018
- Algorithms for the inverse modelling of transport and transformation of atmospheric pollutants A. Penenko 10.1088/1755-1315/211/1/012052
- Hybrid Deep Learning and Sensitivity Operator-Based Algorithm for Identification of Localized Emission Sources A. Penenko et al. 10.3390/math12010078
- CHIMERE-2017: from urban to hemispheric chemistry-transport modeling S. Mailler et al. 10.5194/gmd-10-2397-2017
- A Review of Air Quality Modeling Studies in India: Local and Regional Scale R. Garaga et al. 10.1007/s40726-018-0081-0
- An evaluation of the efficacy of very high resolution air-quality modelling over the Athabasca oil sands region, Alberta, Canada M. Russell et al. 10.5194/acp-19-4393-2019
- The impact of urban land-surface on extreme air pollution over central Europe P. Huszar et al. 10.5194/acp-20-11655-2020
- A review of machine learning for modeling air quality: Overlooked but important issues D. Tang et al. 10.1016/j.atmosres.2024.107261
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Saved (final revised paper)
Latest update: 13 Dec 2024
Short summary
The efficacy of emission policies is explored by coarse resolution modeling applications. These were shown to be biased, overestimating that efficacy indicated in simulations with refined resolution. In order to improve our assessments, we need to quantify those biases. In this study we show that the ozone bias of the coarse run is reduced by 40% by adopting higher resolution emissions. For PM2.5, the coarse run cannot selectively incorporate local scale features in order to reduce model error.
The efficacy of emission policies is explored by coarse resolution modeling applications. These...
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