The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.
CHIMERE-2017: from urban to hemispheric chemistry-transport modeling
Open accessAbstract
Abstract. CHIMERE is a chemistry-transport model designed for regional atmospheric composition. It can be used at a variety of scales from local to continental domains. However, due to the model design and its historical use as a regional model, major limitations had remained, hampering its use at hemispheric scale, due to the coordinate system used for transport as well as to missing processes that are important in regions outside Europe. Most of these limitations have been removed in the CHIMERE-2017 version, allowing its use in any region of the world and at any scale, from the scale of a single urban area up to hemispheric scale, with or without polar regions included. Other important improvements have been made in the treatment of the physical processes affecting aerosols and the emissions of mineral dust. From a computational point of view, the parallelization strategy of the model has also been updated in order to improve model numerical performance and reduce the code complexity. The present article describes all these changes. Statistical scores for a model simulation over continental Europe are presented, and a simulation of the circumpolar transport of volcanic ash plume from the Puyehue volcanic eruption in June 2011 in Chile provides a test case for the new model version at hemispheric scale.
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Cites
Photogrammetric Engineering and Remote Sensing
Nicol, J., King, B., Quattrochi, D., Dowman, I. J., Ehlers, M., & Xiaoli, D. (2007) · UCL Discovery (University College London) · Cited by 9,325
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
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
Overview of the CALIPSO Mission and CALIOP Data Processing Algorithms
Winker, D. M., Vaughan, M. A., Omar, A., Hu, Y., Powell, K. A., Liu, Z., Hunt, W. H., & Young, S. A. (2009) · Journal of Atmospheric and Oceanic Technology · doi:10.1175/2009jtecha1281.1 · Cited by 2,600
Parameterization of surface resistances to gaseous dry deposition in regional-scale numerical models
Wesely, M. L. (1989) · Atmospheric Environment (1967) · doi:10.1016/0004-6981(89)90153-4 · Cited by 2,304
Scattering, Absorption, and Emission of Light by Small Particles
Mishchenko, M. I., Lacis, A. A., & Travis, L. D. (2002) · Cited by 2,141
Computational Design of the Basic Dynamical Processes of the UCLA General Circulation Model
ARAKAWA, A., & LAMB, V. R. (1977) · Methods in Computational Physics: Advances in Research and Applications · doi:10.1016/b978-0-12-460817-7.50009-4 · Cited by 2,068
WESELY, M. (2007) · Atmospheric Environment · doi:10.1016/j.atmosenv.2007.10.058 · Cited by 1,873
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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
- Mailler, S., Menut, L., Khvorostyanov, D., Valari, M., Couvidat, F., Siour, G., Turquety, S., Briant, R., Tuccella, P., Bessagnet, B., Colette, A., Létinois, L., Markakis, K., & Meleux, F.
- Venue
- Geoscientific Model Development
- Publisher
- Copernicus GmbH
- Published
- 2017-06-28
- Volume
- 10
- Issue
- 6
- Pages
- 2397-2423
- ISSN
- 1991-959X (ISSN-L)
- 1991-9603
- OpenAlex
- W2917213968
- Cited by
- 268
- References
- 77
- FWCI
- 14.34
- Type
- journal article
- Language
- en
- Open access
- gold
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- Mailler, S., Menut, L., Khvorostyanov, D., Valari, M., Couvidat, F., Siour, G., Turquety, S., Briant, R., Tuccella, P., Bessagnet, B., Colette, A., Létinois, L., Markakis, K., & Meleux, F. (2017). CHIMERE-2017: from urban to hemispheric chemistry-transport modeling. Geoscientific Model Development. https://doi.org/10.5194/gmd-10-2397-2017
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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.