Wind field at Attika Basin & Concentration prediction
The DETRACT consists of a set of modules that meet the
requirements of studying local to mesoscale wind circulation as well as air pollution
levels for terrains of high complexity and real atmospheric conditions on a diagnostic and
It is especially suitable for urban environment due to the fact that the 2-D grid scale
on the ground surface is completely independent from the 3-D grid scale of modelling
domain in the air. This allows a quite detailed description of the ground and its land
uses "ignoring" computation restrictions coming from the size of the 3-D air
The DETRACT consists of the following modules:
- The Topography and Land Use Pre-processors DELTA(mesoscale)
and DELTA_B(local) that prepare the necessary ground related
input data for the other modules.
- The illumination module DELTA/HELIOS indicating during one day
cycle with 15-min resolution time which ground surfaces are shadowed based on the day of
the year, the time of the day and the surrounding topography.
- The Meteorological Pre-processor FILMAKER permitting to
generate a complete set of meteorological data within the calculation grid based on
scattered observation or forecasting data inside or even outside the grid.
- The diagnostic module ADREA-diagn generating mass consistent
wind field by correcting properly due to topography the FILMAKER or any other larger scale
- The prognostic module ADREA-I performing
small to medium scale atmospheric calculations under any atmospheric stability conditions.
It is a 3-D non-hydrostatic fully compressible code utilizing the conservation laws of
mass, momentum and energy. The closure scheme is based on the eddy viscosity/diffusivity
concept and it is obtained through the utilization of the one equation (default) or
two-equation turbulence model. The model takes into account air /ground energy and mass
interactions including solar radiation and forest fire heat input.
- The 3-D Dispersion Eulerian Model ADREA-D
for passive dispersion solving the prognostic pollutant mass conservation equations
separately at the gas phase and the liquid phase of the moist atmosphere. The model allows
for 3-D variability of wet scavenging and deposition.
- The 3-D Dispersion Eulerian Model ADREA/UAM for chemical
substances utilizing the EPA-UAM photochemical model (33 substances) and the ADREA wind
- The 3-D Langrangian Particle Model DIPCOT
for passive pollutants and point sources