4-days forecasts of Air Quality over Globe, Europe, Northern Europe, and China.
The set of substances, which forecasted concentrations, total column loads, and depositions are shown, includes SO2, NO, NO2, O3, PM2.5, and PM10.
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.
Comparison of the recent forecasts with actual measurement data.
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