SILAM

System for Integrated modeLling of Atmospheric coMposition

Air Quality Forecasts

4-days forecasts of Air Quality over Europe and Northern Europe.

The set of substances, which concentrations (upper figures) and depositions (lower figures) are forecasted, includes SO2, NO, NO2, O3, PM2.5, and PM10.

View details »

Wild-land Fire Smoke Forecasts

2-days forecasts of distribution of wild-land smoke fires over Europe.

The forecasts of particles PM2.5 (up to 2.5 μm), and PM10 (up to 10 μm) use near-real-time satellite observations of Temperature Anomaly and Fire Radiative Power processed by IS4FIRES.

View details »

Allergenic Pollen Forecasts

5-days forecasts of pollen distribution over Europe and Northern Europe

The forecasted species include birch, grass, olive, and ragweed pollen, as well as characteristics of the allergenic season. In co-operation with European Aeroallergen Network EAN.

View details »

General Information

SILAM is a global-to-meso-scale dispersion model developed for atmospheric composition, air quality, and emergency decision support applications, as well as for inverse dispersion problem solution.

The model incorporates both Eulerian and Lagrangian transport routines, 8 chemico-physical transformation modules (basic acid chemistry and secondary aerosol formation, ozone formation in the troposphere and the stratosphere, radioactive decay, aerosol dynamics in the air, pollen transformations), 3- and 4-dimensional variational data assimilation modules.

SILAM source terms include point- and area- source inventories, sea salt, wind-blown dust, natural pollen, natural volatile organic compounds, nuclear explosion, as well as interfaces to ship emission system STEAM and fire information system IS4FRIES.

SILAM is an open-code system and free for research applications. Contact us to obtain the model.


Forecast evaluation

Comparison of the recent forecasts with actual measurement data.

-- European operational evalaution, MACC

-- Regional operational evalaution over Finland (Google-Earth)

       NO2, O3, CO, SO2, PM 2.5, PM 10

Contact us

Model development and applications: Mikhail Sofiev, Julius Vira, Marje Prank, Rostislav Kouznetsov, Joana Soares

Remote access and graphical user interface: Tuula Summanen

Head of Modelling group of Atmospheric Composition Department: Ari Karppinen

Mailing: first_name.last_name (at) fmi.fi