Climate Dynamics &
Data Science

Our research covers atmospheric dynamics and variability under different climates. This includes...

• machine learning for atmospheric and climate research

• explainable AI (XAI) for geoscience

• causal discovery

• large-scale atmospheric dynamics and climate change

• sub-seasonal to seasonal prediction of extreme events, temperature, and precipitation

• tropical-extratropical teleconnections

• eddy-mean flow dynamics (e.g. annular-modes, wave propagation)

• climate change and sustainability

• the use of simplified models to understand the general circulation