The DOI matches its Crossref record; 123 of the 123 references it cites were found in a registry or an index.
CHIMERE 2013: a model for regional atmospheric composition modelling
Open accessAbstract
Abstract. Tropospheric trace gas and aerosol pollutants have adverse effects on health, environment and climate. In order to quantify and mitigate such effects, a wide range of processes leading to the formation and transport of pollutants must be considered, understood and represented in numerical models. Regional scale pollution episodes result from the combination of several factors: high emissions (from anthropogenic or natural sources), stagnant meteorological conditions, kinetics and efficiency of the chemistry and the deposition. All these processes are highly variable in time and space, and their relative contribution to the pollutants budgets can be quantified with chemistry-transport models. The CHIMERE chemistry-transport model is dedicated to regional atmospheric pollution event studies. Since it has now reached a certain level a maturity, the new stable version, CHIMERE 2013, is described to provide a reference model paper. The successive developments of the model are reviewed on the basis of published investigations that are referenced in order to discuss the scientific choices and to provide an overview of the main results.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Atmospheric Chemistry and Physics: From Air Pollution to Climate Change
Seinfeld, J. H., Pandis, S. N., & Noone, K. (1998) · Physics Today · doi:10.1063/1.882420 · Cited by 8,731
Towards the ultimate conservative difference scheme. V. A second-order sequel to Godunov's method
van Leer, B. (1979) · Journal of Computational Physics · doi:10.1016/0021-9991(79)90145-1 · Cited by 7,142
Evensen, G. (1994) · Journal of Geophysical Research: Oceans · doi:10.1029/94jc00572 · Cited by 5,371
Guenther, A., Karl, T., Harley, P., Wiedinmyer, C., Palmer, P. I., & Geron, C. (2006) · Atmospheric Chemistry and Physics · doi:10.5194/acp-6-3181-2006 · Cited by 4,603
The Piecewise Parabolic Method (PPM) for gas-dynamical simulations
Colella, P., & Woodward, P. R. (1984) · Journal of Computational Physics · doi:10.1016/0021-9991(84)90143-8 · Cited by 3,954
A Comprehensive Mass Flux Scheme for Cumulus Parameterization in Large-Scale Models
Tiedtke, M. (1989) · Monthly Weather Review · doi:10.1175/1520-0493(1989)117<1779:acmfsf>2.0.co;2 · Cited by 3,648
Christensen, J. H., Hewitson, B. C., Busuioc, A., Chen, A., Gao, X., Held, R., Jones, R., Kolli, R. K., Kwon, W., Laprise, R., et al. (2007) · Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut) · Cited by 3,177
(2010) · doi:10.5194/acp-10-11707-2010 · Cited by 2,859
A Description of the Advanced Research WRF Version 2
Skamarock, W., Klemp, J., Dudhia, J., Gill, D., Barker, D., & Wang, W. (2005) · NSF National Center for Atmospheric Research · doi:10.5065/d6dz069t · Cited by 2,504 · cited 6×
“This project has provided sensitivity analyses of modelled concentration fields when using the different land surface schemes of the WRF meteorological driver (Khvorostyanov et al., 2010); this leads to a better understanding of the impact of land surface models (LSM) on modelled surface concentrations and thus quantif…”
MethodInfluentialA dynamic global vegetation model for studies of the coupled atmosphere‐biosphere system
Krinner, G., Viovy, N., de Noblet‐Ducoudré, N., Ogée, J., Polcher, J., Friedlingstein, P., Ciais, P., Sitch, S., & Prentice, I. C. (2005) · Global Biogeochemical Cycles · doi:10.1029/2003gb002199 · Cited by 2,496
Cited by
Shah, V., Jacob, D. J., Li, K., Silvern, R. F., Zhai, S., Liu, M., Lin, J., & Zhang, Q. (2020) · Atmospheric Chemistry and Physics · doi:10.5194/acp-20-1483-2020 · Cited by 298
CHIMERE-2017: from urban to hemispheric chemistry-transport modeling
Mailler, S., Menut, L., Khvorostyanov, D., Valari, M., Couvidat, F., Siour, G., Turquety, S., Briant, R., Tuccella, P., Bessagnet, B., et al. (2017) · Geoscientific Model Development · doi:10.5194/gmd-10-2397-2017 · Cited by 268
Self-citationGrowing season extension affects ozone uptake by European forests
Anav, A., De Marco, A., Friedlingstein, P., Savi, F., Sicard, P., Sitch, S., Vitale, M., & Paoletti, E. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.03.020 · Cited by 46
Assessing Douro Vineyards Exposure to Tropospheric Ozone
Ascenso, A., Gama, C., Blanco-Ward, D., Monteiro, A., Silveira, C., Viceto, C., Rodrigues, V., Rocha, A., Borrego, C., Lopes, M., et al. (2021) · Atmosphere · doi:10.3390/atmos12020200 · Cited by 14
Metadata
- Authors
- Menut, L., Bessagnet, B., Khvorostyanov, D., Beekmann, M., Blond, N., Colette, A., Coll, I., Curci, G., Foret, G., Hodzic, A., Mailler, S., Meleux, F., Monge, J.-L., Pison, I., Siour, G., Turquety, S., Valari, M., Vautard, R., & Vivanco, M. G.
- Venue
- Geoscientific Model Development
- Publisher
- Copernicus GmbH
- Published
- 2013-07-22
- Volume
- 6
- Issue
- 4
- Pages
- 981-1028
- ISSN
- 1991-959X (ISSN-L)
- 1991-9603
- OpenAlex
- W1975450074
- Cited by
- 517
- References
- 123
- FWCI
- 22.28
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: CHIMERE 2013: a model for regional atmospheric composition modelling. https://app.cochat.ai/papers/10.5194/gmd-6-981-2013
- The paper
- Menut, L., Bessagnet, B., Khvorostyanov, D., Beekmann, M., Blond, N., Colette, A., Coll, I., Curci, G., Foret, G., Hodzic, A., Mailler, S., Meleux, F., Monge, J.-L., Pison, I., Siour, G., Turquety, S., Valari, M., Vautard, R., & Vivanco, M. G. (2013). CHIMERE 2013: a model for regional atmospheric composition modelling. Geoscientific Model Development. https://doi.org/10.5194/gmd-6-981-2013
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.