Highlight D (HD)

Atmospheric AI

The Highlight is focused especially on the application of interactive AI in atmospheric and Earth system research, building a virtual atmospheric laboratory to combine ML/AI models with physical and chemical models.

Artificial intelligence (AI) and machine learning (ML) are making their inroads to atmospheric and earth sciences. There are lots of opportunities to do research in physical sciences more efficiently and to obtain novel results of high impact—both in atmospheric and computer sciences—by developing and applying novel AI methods to solve scientific problems.

The research relates to the Research Programs Agile probabilistic AI (R1), Simulator-based inference (R2), Interactive AI (R5). The Highlight also collaborates with Atmosphere and Climate Competence Center Flagship.

You can join the Highlight D mailing list if you want to be informed of events and developments regarding the Highlight.

Examples of publications:

• Anton Björklund, A., Jarmo Mäkelä, Kai Puolamäki. 2023. SLISEMAP: Supervised dimensionality reduction through local explanations. Machine Learning, 112(1), 1–43.

• Moritz Lange, Henri Suominen, Mona Kurppa, Leena Järvi, Emilia Oikarinen, Rafael Savvides, Kai Puolamäki. 2021. Machine-learning models to replicate large-eddy simulations of air pollutant concentrations along boulevard-type streets. Geoscientific Model Development, 14(12), 7411–7424.

Program poster (pdf)

Coordinating professor: Kai Puolamäki – kai.puolamaki at helsinki.fi

People

The groups of following PIs take part in this Highlight. If you would like to join the Highlight, please contact the coordinating professor.

• Antti Honkela, University of Helsinki

• Samuel Kaski, Aalto University

• Arto Klami, University of Helsinki

• Ville Kotovirta, VTT

• Antti Oulasvirta, Aalto University

• Kai Puolamäki, University of Helsinki – coordinating professor

• Sasu Tarkoma, University of Helsinki

• Elena Vildjiounaite, VTT