SILAM

The Ministry of Environment and physical planning provides a three-day forecast of air quality for key air pollutants. The forecast is generated by the SILAM model (System for Integrated Modeling of Atmospheric Composition).

SILAM is a global-to-meso-scale chemical transport and dispersion model. It predicts the transport, chemical transformation, and deposition of pollutants using advanced mathematical routines (Eulerian transport and Lagrangian dispersion).

• It incorporates:
  • Emissions from human sources and natural sources (e.g., sea salt, wind-blown dust, pollen, wild fires),
  • Chemical reactions between atmospheric compounds (e.g., ozone formation), Meteorological data to drive transport and atmospheric processes. SILAM integrates multiple data sources:
  • Anthropogenic emission inventories (e.g., TNO-MACC dataset), • Wildfire emissions and smoke data (from systems like IS4FIRES), Meteorological data (often from global weather models such as ECMWF IFS),
  • Natural emissions (sea salt, dust, biogenic compounds, pollen).

The model results are displayed as hourly data for key pollutants that impact health and the environment: ozone, particulate matter (PM10 and PM2.5), sulfur dioxide, nitrogen dioxide, and carbon monoxide. The data is presented on an interactive map.

The forecast is available at the following link: