Collaborators

Robert Jenssen, UiT The Arctic University of Norway (Visual Intelligence, Machine learning) and University of Copenhagen (Pioneer Centre for AI)

X. San Liang, Fudan University & Southern Marine Laboratory (China), Information flow and causal analysis

Daniel Hagan, Ghent University (Belgium), Causal analysis applied to land-atmosphere interactions

Giorgia Di Capua, Potsdam Institute for Climate Impact Research (Germany), Causal analysis applied to atmospheric teleconnections

François Massonnet, Université catholique de Louvain (Belgium), Polar climate predictions at seasonal to decadal time scales

Torben Koenigk, Swedish Meteorological and Hydrological Institute (Sweden), Global climate modeling (EC-Earth)

Shengping He, University of Bergen (Norway), Polar climate variability and prediction (NorESM2)

Martin Drews, Technical University of Denmark, Regional climate modelling, climate extremes and climate risk management

Elena Tomasi, Fondazione Bruno Kessler (Italy), Machine learning for weather and climate modeling

Gabriele Franch, Fondazione Bruno Kessler (Italy), Machine learning for weather and climate modeling

Alexandra Jahn, University of Colorado Boulder (USA), Arctic Ocean and sea-ice variability and modeling

Gustau Camps-Valls, Universitat de València (Spain), Machine learning for Earth and climate science

Carlos Pires, Instituto Dom Luiz (Portugal), Nonlinear dynamics and causal analysis applied to the climate system