Advanced Statistical Methods in Climate Research. 3 credits

Catalog description

Introduction to multivariate statistical techniques commonly used in climate science, with special emphasis on estimation in large dimensional spaces. Topics include: multivariate regression, canonical correlation analysis, predictable component analysis, field significance tests, data assimilation (especially the ensemble Kalman Filter), discriminant analysis, and multivariate detection and attribution of climate change. Offered by Atmospheric/Oceanic/Earth Sci . May not be repeated for credit.