Atmospheric Dynamics Modeling Group
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Atmospheric Dynamics Modeling Group
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- Machine learning techniques for atmospheric models
- Adaptive Mesh Refinement (AMR) and variable-resolution grid techniques for atmospheric General Circulation Models (GCMs)
- Development of simpler atmospheric models and test cases for dynamical cores of GCMs, model intercomparisons
- Modern numerical methods and computational grids for dynamical cores of GCMs
- Idealized assessments of the Quasi-Biennial Oscillation (QBO) and Sudden Stratospheric Warmings (SSWs), stratospheric dynamics
- Dynamics of tropical cyclones
- Impact of climate change on tropical cyclone statistics in high-resolution GCM experiments
- Subgrid-scale mixing in climate models
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Latest update: January 31st, 2019
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