Silam

SILAM (System for Integrated Modeling of Atmospheric Composition) is a global-to-meso-scale atmospheric dispersion model developed by the Finnish Meteorological Institute (FMI).

SILAM (System for Integrated Modeling of Atmospheric Composition) is a global-to-meso-scale atmospheric dispersion model developed by the Finnish Meteorological Institute (FMI). ==Model== It provides information on atmospheric composition, air quality, and wildfire smoke (PM 2.5 ) and is also able to solve the inverse dispersion problem. It can take data from a variety of sources, including natural ones such as sea salt, blown dust, and pollen. The FMI provides three datasets based on SILAM: a 4-day global air pollutant (SO 2 , NO, NO 2 , O 3 , PM 2.5 , and PM 10 ) forecast based on TNO-MACC (global emission) and IS4FIRES (wildfire), a 5-day global wildfire smoke forecast based on IS4FIRES, and a 5-day pollen forecast for Europe.

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