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Atmospheric Modeling, Data Assimilation and Predictability

Solid foundation for atmospheric and oceanic modeling and numerical weather prediction: numerical methods for partial differential equations, an introduction to physical parameterizations, modern data assimilation, and predictability.

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Average GPA: 3.67 between 60 students

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