The Finnish Meteorological Institute has applied machine learning methods in estimating the concentration of aerosols from solar radiation measurements performed on the Earth's surface.
Huttunen, J., Kokkola, H., Mielonen, T., Mononen, M. E. J., Lipponen, A., Reunanen, J., Lindfors, A. V., Mikkonen, S., Lehtinen, K. E. J., Kouremeti, N., Bais, A., Niska, H., and Arola, A.: Retrieval of aerosol optical depth from surface solar radiation measurements using machine learning algorithms, non-linear regression and a radiative transfer-based look-up table, Atmos. Chem. Phys., 16, 8181-8191, doi:10.5194/acp-16-8181-2016, 2016.
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.
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