A METEOROLOGICAL DATABASE FOR NEXT-GENERATION DISPERSION MODELS, AND A LAGRANGIAN PARTICLE MODEL-BASED ON KINEMATIC SIMULATION THEORY

Citation
E. Reimer et al., A METEOROLOGICAL DATABASE FOR NEXT-GENERATION DISPERSION MODELS, AND A LAGRANGIAN PARTICLE MODEL-BASED ON KINEMATIC SIMULATION THEORY, International journal of environment and pollution, 5(4-6), 1995, pp. 623-634
Citations number
24
Categorie Soggetti
Environmental Sciences
ISSN journal
09574352
Volume
5
Issue
4-6
Year of publication
1995
Pages
623 - 634
Database
ISI
SICI code
0957-4352(1995)5:4-6<623:AMDFND>2.0.ZU;2-4
Abstract
The database system supports small to regional scale air pollution ana lysis and dispersion modelling. It provides a three-dimensional and ti me-dependent description of relevant meteorological scalar and vector quantities, and also trajectories and meteorological input data for co mmonly used. dispersion models for local and regional applications. Th e data are visualized on a standard PC with software provided. The sys tem contains the following modules: a statistical I/O-analysis, a boun dary layer model, a short-term regional-scale forecast model (in prepa ration), a trajectory processor, a nonhydrostatic meteorological local model and interfaces for a variety of transport and dispersion models . Station data and gridded data are archived. Postprocessors extract a rchived data and process time series, profiles, subregions grid, etc., as required. The new Lagrangian particle model (LPM) uses kinematic s imulation theory. It calculates snapshots of concentrations rather tha n ensemble mean values. It can also directly provide higher moments of concentrations, C-n(t), and is applicable for odour problems as well.