MET-RODOS: A Comprehensive Atmospheric Dispersion Module

Mikkelsen, Torben; Thykier-Nielsen, Søren; Astrup, Poul; Santabàrbara, J. M.; Sørensen, Jens Havskov; Rasmussen, Alix; Robertson, Lennart; Ullerstig, Anders; Deme, S.; Martens, R.; Bartzis, John G.; Päsler-Sauer, Jürgen

doi:10.1093/oxfordjournals.rpd.a032162

Cited by 44 publications

(35 citation statements)

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“…The Local S Model Chain (LSMC) (Mikkelsen et al, 1997) comprises a meteorological pre-proces ahead. For Denmark the recent Danish operational NWP system (Sass et al, 2002) consists of two nested models named DMI-HIRLAM-S05 and -T15, with horizontal resolutions of about 5 and 15 km, respectively.…”

Section: Copenhagen Emergency Decision-support Systemmentioning

confidence: 99%

“…In order to meet the input requirements of the ARGOS system, a meteorological pre-processing interface is translating and interpolating the NWP model output. The Local Scale Model Chain (LSMC) (Mikkelsen et al, 1997) comprises a meteorological pre-processor, which calculates deposition and stability parameters and wind fields based on the data provided by the DMI-HIRLAM model. These data are pre-processed and interpolated to yield data input fields for the RIMPUFF local-scale dispersion model of ARGOS.…”

Section: Copenhagen Emergency Decision-support Systemmentioning

confidence: 99%

“…Typically the fields are interpolated to a grid spacing of about 1 km or finer. The wind fields are interpolated either with the linearized flow model LINCOM (Mikkelsen et al, 1997;Astrup et al, 1996) or by 1/r 2 weighting. In order to provide a more detailed wind field near the source, LINCOM is only used out to about 15 km from the source.…”

Section: Copenhagen Emergency Decision-support Systemmentioning

confidence: 99%

“…It includes the atmospheric local-scale dispersion model RIsø Mesoscale PUFF model (RIMPUFF) developed at the Risø National Laboratory (Mikkelsen et al, 1984(Mikkelsen et al, , 1997. At distances greater than about 20 km from the source, the DMI long-range atmospheric dispersion model, the Danish Emergency Response Model of the Atmosphere (DERMA), can be used Sørensen et al, 1998;Baklanov and Sørensen, 2001).…”

Section: Copenhagen Emergency Decision-support Systemmentioning

confidence: 99%

“…Validation and intercomparisons of the individual dispersion models integrated in, or interfaced with, the ARGOS system were carried out for specific experimental studies for other areas, e.g. ETEX, Algeciras, ENSEMBLE (Mikkelsen et al, 1997;Sørensen et al, 1998;Galmarini et al, 2004a, b;Baklanov et al, 2005b) showing realistic simulation results.…”

Section: Copenhagen Emergency Decision-support Systemmentioning

confidence: 99%

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Integrated systems for forecasting urban meteorology, air pollution and population exposure

Hänninen²,

et al. 2007

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Abstract. Urban air pollution is associated with significant adverse health effects. Model-based abatement strategies are required and developed for the growing urban populations. In the initial development stage, these are focussed on exceedances of air quality standards caused by high short-term pollutant concentrations. Prediction of health effects and implementation of urban air quality information and abatement systems require accurate forecasting of air pollution episodes and population exposure, including modelling of emissions, meteorology, atmospheric dispersion and chemical reaction of pollutants, population mobility, and indoor-outdoor relationship of the pollutants. In the past, these different areas have been treated separately by different models and even institutions. Progress in computer resources and ensuing improvements in numerical weather prediction, air chemistry, and exposure modelling recently allow a unification and integration of the disjunctive models and approaches. The current work presents a novel approach that integrates the latest developments in meteorological, air quality, and population exposure modelling into Urban Air Quality Information and Forecasting Systems (UAQIFS) in the context of the European Union FUMAPEX project. The suggested integrated strategy is demonstrated for examples of the systems in three Nordic cities: Helsinki and Oslo for assessment and forecasting of urban air pollution and Copenhagen for urban emergency preparedness.

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Section: Copenhagen Emergency Decision-support Systemmentioning

confidence: 99%

Section: Copenhagen Emergency Decision-support Systemmentioning

confidence: 99%

Section: Copenhagen Emergency Decision-support Systemmentioning

confidence: 99%