Overview
Atmospheric & Oceanic Sciences : The analysis of observational and modeling data, and the advantages and limitations of different data. Different analysis methods including regression, linear stochastic processes autocovariance and spectral analysis, principle component analysis, inverse problems and data assimilation, commonly used in the atmospheric and oceanic sciences.
Terms: This course is not scheduled for the 2024-2025 academic year.
Instructors: There are no professors associated with this course for the 2024-2025 academic year.