Satellite observation analysis using machine learning methods

G S Gopikrishnan
Finnish Meteorological Institute

We aim to examine the atmospheric chemical processes that regulate the secondary formation of trace gases, with a particular focus on the role of new particle formation in shaping atmospheric composition.

This addresses important environmental and socioeconomic challenges related to air quality, climate change, and public health. Secondary formation of trace gases (e.g., Ozone) have significant impacts on human health, atmospheric visibility, and radiative forcing.

To better understand these processes, we will integrate satellite observations, ground-based measurements, and chemical transport models to develop machine learning–based frameworks. These models will be used to analyse regional and temporal trends in aerosols and trace gas formation, transformation, and their broader influence on global warming and climate change.

Programme

Find out the research institutes that implement the Programme and where to find open positions.

Progress

Great start for the Programme! The first 36 postdoctoral researchers have been recruited and started their work. Half of them relocated to Finland from abroad.
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