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Research Areas

• Machine learning techniques for atmospheric models
• Great Lakes weather research with coupled atmosphere-lake models: lake-effect snow storms
• Adaptive Mesh Refinement (AMR) and variable-resolution grid techniques for the dynamical cores of atmospheric General Circulation Models (GCMs)
• High-resolution weather and climate modeling
• Development of simpler atmospheric models and test cases for dynamical cores of GCMs, model intercomparisons
• Atmospheric dynamics:
  • Mesoscale Convective Systems (MCSs) and their interaction with the large-scale flow
  • Extratropical cyclones
  • Stratospheric dynamics: Idealized assessments of the Quasi-Biennial Oscillation (QBO) and Sudden Stratospheric Warmings (SSWs)
  • Dynamics of tropical cyclones
• Subgrid-scale mixing in weather and climate models
• Physics-dynamics coupling in GCMs
• Detection of pathways in GCMs (with a current focus on tracer advection)

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Example scientific and educational events organized by our group and group alumni:

Life drawing of my talk (credit: https://riva-illustrations.com, invited by the European Commission):
Jablonowski, C. (2020), Frontiers in Earth System Modeling: Where do we go from here?
AAAS Annual Meeting
Feb/13-16/2020
Seattle, WA

PDEs on the Sphere Workshop 2019

April/29/2019 – May/3/2019
Montreal, Canada

Emerging Data Science and Machine Learning Opportunities in the Weather and Climate Sciences

AGU 2018 Workshop, Washington D.C., December/13/2018 (see the workshop page here)

3rd workshop on Physics Dynamics Coupling (PDC18)

July/10/2018 – July/12/2018
European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, U.K.

PDC18 Group Photo (credit: ECMWF)

Updated on January/15/2023