The DOI matches its Crossref record; 373 of the 373 references it cites were found in a registry or an index.
Online coupled regional meteorology chemistry models in Europe: current status and prospects
Open accessAbstract
Abstract. Online coupled mesoscale meteorology atmospheric chemistry models have undergone a rapid evolution in recent years. Although mainly developed by the air quality modelling community, these models are also of interest for numerical weather prediction and regional climate modelling as they can consider not only the effects of meteorology on air quality, but also the potentially important effects of atmospheric composition on weather. Two ways of online coupling can be distinguished: online integrated and online access coupling. Online integrated models simulate meteorology and chemistry over the same grid in one model using one main time step for integration. Online access models use independent meteorology and chemistry modules that might even have different grids, but exchange meteorology and chemistry data on a regular and frequent basis. This article offers a comprehensive review of the current research status of online coupled meteorology and atmospheric chemistry modelling within Europe. Eighteen regional online coupled models developed or being used in Europe are described and compared. Topics discussed include a survey of processes relevant to the interactions between atmospheric physics, dynamics and composition; a brief overview of existing online mesoscale models and European model developments; an analysis on how feedback processes are treated in these models; numerical issues associated with coupled models; and several case studies and model performance evaluation methods. Finally, this article highlights selected scientific issues and emerging challenges that require proper consideration to improve the reliability and usability of these models for the three scientific communities: air quality, numerical meteorology modelling (including weather prediction) and climate modelling. This review will be of particular interest to model developers and users in all three fields as it presents a synthesis of scientific progress and provides recommendations for future research directions and priorities in the development, application and evaluation of online coupled models.
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A Description of the Advanced Research WRF Version 3
Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D., Barker, D. M., Wang, W., Huang, X., & Duda, M. (2008) · UCAR/NCAR · doi:10.5065/d68s4mvh · Cited by 8,925
Mlawer, E. J., Taubman, S. J., Brown, P. D., Iacono, M. J., & Clough, S. A. (1997) · Journal of Geophysical Research: Atmospheres · doi:10.1029/97jd00237 · Cited by 8,419
A New Vertical Diffusion Package with an Explicit Treatment of Entrainment Processes
Hong, S.-Y., Noh, Y., & Dudhia, J. (2006) · Monthly Weather Review · doi:10.1175/mwr3199.1 · Cited by 7,154
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
Aerosols, Cloud Microphysics, and Fractional Cloudiness
Albrecht, B. A. (1989) · Science · doi:10.1126/science.245.4923.1227 · Cited by 4,422
A global model of natural volatile organic compound emissions
Guenther, A., Hewitt, C. N., Erickson, D., Fall, R., Geron, C., Graedel, T., Harley, P., Klinger, L., Lerdau, M., Mckay, W. A., et al. (1995) · Journal of Geophysical Research: Atmospheres · doi:10.1029/94jd02950 · Cited by 4,169
Guenther, A. B., Jiang, X., Heald, C. L., Sakulyanontvittaya, T., Duhl, T., Emmons, L. K., & Wang, X. (2012) · Geoscientific Model Development · doi:10.5194/gmd-5-1471-2012 · Cited by 4,112
Fully coupled “online” chemistry within the WRF model
Grell, G. A., Peckham, S. E., Schmitz, R., McKeen, S. A., Frost, G., Skamarock, W. C., & Eder, B. (2005) · Atmospheric Environment · doi:10.1016/j.atmosenv.2005.04.027 · Cited by 3,748
Self-citationA 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
Bulk Parameterization of the Snow Field in a Cloud Model
Lin, Y.-L., Farley, R. D., & Orville, H. D. (1983) · Journal of Climate and Applied Meteorology · doi:10.1175/1520-0450(1983)022<1065:bpotsf>2.0.co;2 · Cited by 3,481
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Overview of the Meso-NH model version 5.4 and its applications
Lac, C., Chaboureau, J.-P., Masson, V., Pinty, J.-P., Tulet, P., Escobar, J., Leriche, M., Barthe, C., Aouizerats, B., Augros, C., et al. (2018) · Geoscientific Model Development · doi:10.5194/gmd-11-1929-2018 · Cited by 403
Advances in air quality research – current and emerging challenges
Sokhi, R. S., Moussiopoulos, N., Baklanov, A., Bartzis, J., Coll, I., Finardi, S., Friedrich, R., Geels, C., Grönholm, T., Halenka, T., et al. (2022) · Atmospheric Chemistry and Physics · doi:10.5194/acp-22-4615-2022 · Cited by 285
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Metadata
- Authors
- Baklanov, A., Schlünzen, K., Suppan, P., Baldasano, J., Brunner, D., Aksoyoglu, S., Carmichael, G., Douros, J., Flemming, J., Forkel, R., Galmarini, S., Gauss, M., Grell, G., Hirtl, M., Joffre, S., Jorba, O., Kaas, E., Kaasik, M., Kallos, G., Kong, X., Korsholm, U., Kurganskiy, A., Kushta, J., Lohmann, U., Mahura, A., Manders-Groot, A., Maurizi, A., Moussiopoulos, N., Rao, S. T., Savage, N., Seigneur, C., Sokhi, R. S., Solazzo, E., Solomos, S., Sørensen, B., Tsegas, G., Vignati, E., Vogel, B., & Zhang, Y.
- Venue
- Atmospheric Chemistry and Physics
- Publisher
- Copernicus GmbH
- Published
- 2014-01-10
- Volume
- 14
- Issue
- 1
- Pages
- 317-398
- ISSN
- 1680-7316 (ISSN-L)
- 1680-7324
- OpenAlex
- W2163789416
- Cited by
- 349
- References
- 373
- FWCI
- 23.17
- Type
- journal article
- Language
- en
- Open access
- gold
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- Baklanov, A., Schlünzen, K., Suppan, P., Baldasano, J., Brunner, D., Aksoyoglu, S., Carmichael, G., Douros, J., Flemming, J., Forkel, R., Galmarini, S., Gauss, M., Grell, G., Hirtl, M., Joffre, S., Jorba, O., Kaas, E., Kaasik, M., Kallos, G., . . . Zhang, Y. (2014). Online coupled regional meteorology chemistry models in Europe: current status and prospects. Atmospheric Chemistry and Physics. https://doi.org/10.5194/acp-14-317-2014
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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.
