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
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.