Climate Dynamics &
Data Science

Department of Atmospheric Science, Colorado State University

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