2012
DOI: 10.5194/acp-12-1-2012
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A review of operational, regional-scale, chemical weather forecasting models in Europe

Abstract: 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 pa… Show more

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Cited by 264 publications
(179 citation statements)
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References 446 publications
(407 reference statements)
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“…-SILAM (http://silam.fmi.fi) is a meso-to-global-scale dispersion model (Sofiev et al, 2008; see also the review by Kukkonen et al, 2012). The Eulerian advection-diffusion core used in this study is based on the algorithms of Galperin (2000) and Sofiev (2002).…”
Section: Dispersion Modelsmentioning
confidence: 99%
“…-SILAM (http://silam.fmi.fi) is a meso-to-global-scale dispersion model (Sofiev et al, 2008; see also the review by Kukkonen et al, 2012). The Eulerian advection-diffusion core used in this study is based on the algorithms of Galperin (2000) and Sofiev (2002).…”
Section: Dispersion Modelsmentioning
confidence: 99%
“…This reduces inconsistencies in processes that relate to aerosols, chemistry and meteorology (Baklanov et al, 2014). It also enables feedback effects from air pollution (e.g., those due to aerosol) on meteorological processes (Kukkonen et al, 2012;Forkel et al, 2012). A recent review has highlighted a number of important areas to focus on in relation to online modelling (Baklanov et al, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…Usually, the meteorology for these models is available at a 1 h, 3 h or 6 h resolution. The online integration of numerical weather prediction with atmospheric chemistry, transformation and transport allows all meteorological three-dimensional fields to be used at each time step (Kukkonen et al, 2012), varying from seconds to a few minutes. This reduces inconsistencies in processes that relate to aerosols, chemistry and meteorology (Baklanov et al, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…Aerosol modeling, once purely the domain of regional air quality and climate models, has seen recent rapid development at traditional numerical weather prediction (NWP) centers (e.g., Tanaka et al, 2003;Morcrette et al, 2009;Westphal et al, 2009;Kukkonen et al, 2012). Applications are numerous, and include corrections for radiance assimilation systems for the NWP modeling systems themselves (Wang and Niu, 2013;Weaver et al, 2007).…”
Section: Introductionmentioning
confidence: 99%