The DOI matches its Crossref record; 234 of the 234 references it cites were found in a registry or an index.
A review of operational, regional-scale, chemical weather forecasting models in Europe
Open accessAbstract
Abstract. Numerical models that combine weather forecasting and atmospheric chemistry are here referred to as chemical weather forecasting models. Eighteen operational chemical weather forecasting models on regional and continental scales in Europe are described and compared in this article. Topics discussed in this article include how weather forecasting and atmospheric chemistry models are integrated into chemical weather forecasting systems, how physical processes are incorporated into the models through parameterization schemes, how the model architecture affects the predicted variables, and how air chemistry and aerosol processes are formulated. In addition, we discuss sensitivity analysis and evaluation of the models, user operational requirements, such as model availability and documentation, and output availability and dissemination. In this manner, this article allows for the evaluation of the relative strengths and weaknesses of the various modelling systems and modelling approaches. Finally, this article highlights the most prominent gaps of knowledge for chemical weather forecasting models and suggests potential priorities for future research directions, for the following selected focus areas: emission inventories, the integration of numerical weather prediction and atmospheric chemical transport models, boundary conditions and nesting of models, data assimilation of the various chemical species, improved understanding and parameterization of physical processes, better evaluation of models against data and the construction of model ensembles.
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Cites
Deterministic Nonperiodic Flow
Lorenz, E. N. (1963) · Journal of the Atmospheric Sciences · doi:10.1175/1520-0469(1963)020<0130:dnf>2.0.co;2 · Cited by 19,398
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
The Kain–Fritsch Convective Parameterization: An Update
Kain, J. S. (2004) · Journal of Applied Meteorology · doi:10.1175/1520-0450(2004)043<0170:tkcpau>2.0.co;2 · Cited by 4,964
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
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
Aerosols, Climate, and the Hydrological Cycle
Ramanathan, V., Crutzen, P. J., Kiehl, J. T., & Rosenfeld, D. (2001) · Science · doi:10.1126/science.1064034 · Cited by 3,831
A description of the fifth-generation Penn State/NCAR Mesoscale Model (MM5)
Grell, G., Dudhia, J., & Stauffer, D. (1994) · doi:10.5065/d60z716b · Cited by 3,822
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
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
Atmospheric Modeling, Data Assimilation and Predictability
Kalnay, E. (2002) · doi:10.1017/cbo9780511802270 · Cited by 3,391
Cited by
Real-time air quality forecasting, part I: History, techniques, and current status
Zhang, Y., Bocquet, M., Mallet, V., Seigneur, C., & Baklanov, A. (2012) · Atmospheric Environment · doi:10.1016/j.atmosenv.2012.06.031 · Cited by 498
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Metadata
- Authors
- Kukkonen, J., Olsson, T., Schultz, D. M., Baklanov, A., Klein, T., Miranda, A. I., Monteiro, A., Hirtl, M., Tarvainen, V., Boy, M., Peuch, V.-H., Poupkou, A., Kioutsioukis, I., Finardi, S., Sofiev, M., Sokhi, R., Lehtinen, K. E. J., Karatzas, K., San José, R., Astitha, M., Kallos, G., Schaap, M., Reimer, E., Jakobs, H., & Eben, K.
- Venue
- Atmospheric Chemistry and Physics
- Publisher
- Copernicus GmbH
- Published
- 2012-01-02
- Volume
- 12
- Issue
- 1
- Pages
- 1-87
- ISSN
- 1680-7316 (ISSN-L)
- 1680-7324
- OpenAlex
- W2099310231
- Cited by
- 337
- References
- 234
- FWCI
- 25.04
- Type
- journal article
- Language
- en
- Open access
- gold
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- Kukkonen, J., Olsson, T., Schultz, D. M., Baklanov, A., Klein, T., Miranda, A. I., Monteiro, A., Hirtl, M., Tarvainen, V., Boy, M., Peuch, V.-H., Poupkou, A., Kioutsioukis, I., Finardi, S., Sofiev, M., Sokhi, R., Lehtinen, K. E. J., Karatzas, K., San José, R., . . . Eben, K. (2012). A review of operational, regional-scale, chemical weather forecasting models in Europe. Atmospheric Chemistry and Physics. https://doi.org/10.5194/acp-12-1-2012
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