Atmospheric conditions can be as crucial for local air quality as the strength of the pollution sources. Representative wind speed measurements are critical when modelling urban air quality using meteorological observations.
Sensitivity analysis of the meteorological preprocessor MPP-FMI 3.0 using algorithmic differentiation
John Backman1, Curtis R. Wood1, Mikko Auvinen1,2, Leena Kangas1, Hanna Hannuniemi1, Ari Karppinen1, and Jaakko Kukkonen1 1Atmospheric Composition Research
The Finnish Meteorological Institute is a leading expert in meteorology, air quality, climate change, earth observation, marine and arctic research areas. FMI is in a unique position to study various themes of climate change in the Northern context.
High-quality observational data and research is utilized to develop services to benefit our everyday life. Visible examples are improvement of weather forecasts, development of new expert and warning services as well as applications of the newest research results.