Atmospheric Dynamics Course
Master the physical laws and mathematical frameworks that govern how Earth's atmosphere moves, organises, and evolves. This course takes you from foundational thermodynamics through large-scale dynamics, wave theory, boundary layer processes, and numerical weather prediction. Whether you are advancing in research or operational meteorology, you will gain the rigorous analytical tools the field demands.
4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
You will develop a thorough understanding of atmospheric thermodynamics, governing equations of motion, and large-scale balanced flow theory. The course covers wave dynamics, baroclinic instability, planetary boundary layer structure, and turbulence parameterisation. You will analyse extratropical cyclones, frontal systems, mesoscale convective systems, and tropical cyclones using established dynamical frameworks. Numerical weather prediction architecture, data assimilation methods, and ensemble forecasting techniques are examined in detail. Python-based computational tools, including MetPy, xarray, and Cartopy, are integrated throughout for hands-on diagnostic work with real atmospheric datasets.
Elevify advantages
Develop skills
- Atmospheric Thermodynamics: Construct and interpret skew-T log-P diagrams from real radiosonde soundings.
- Balanced Flow Analysis: Diagnose geostrophic, gradient, and thermal wind balances on synoptic charts.
- Wave Dynamics Identification: Classify Rossby, gravity, and Kelvin waves using dispersion relations and observations.
- NWP Model Evaluation: Apply verification metrics to assess numerical weather prediction forecast performance.
Suggested summary
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