A&O SCI 219Statistical Analysis and Visual Explanation of Large Climate Data
Atmospheric and Oceanic Sciences · 4 units · Graduate courses (200-299)
Introduction to statistical methods to analyze climate data and principles of visual presentation of quantitative information. Review of basic statistical concepts. Principles of visual display of quantitative information. Parametric and non-parametric tests for auto-correlated and non-stationary data, multiplicity, and field significance. Spatial-tempo pattern analyses including cross-spectral analysis, spatio-temporary spectral analysis, empirical orthogonal function (EOF) and extension of EOFs (complex EOF, multivariate EOF, extended EOF). Spatial-temporal canonical correlation analysis (CCA), time-lagged CCA, maximum correlation analysis (or singular value decomposition). Self-organizing map.
S/U or letter grading.
When it runs
- Spring 2026
- Spring 2027
Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.
Requisites
UCLA lists no requisites for this course.
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
Nothing — this is an entry point.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
No course in the catalog lists this as a requisite.