Course Description
Prepares students to analyze climate data for decision making under uncertainties in climate conditions and projections. Diverse observational and model generated climate data sets are considered. For observed data, the assumptions and statistical methods used to assess trends are explored and critically analyzed. Subsequent course work focuses on spatial analyses of climate-related anomalies and trends and on ensemble predictions, including their application to climate sensitive systems. Students become proficient in the visualization of climate information. This course requires permission from the instructor to join.
Spring 2026
Instructors
Meeting Patterns
Classes Start:
January 12, 2026
Classes End:
April 28, 2026
Distance Education:
Yes
Class Days:
[TBA]
Class Type:
Lecture
Credits:
3.00
Restrictions:
R: Climate Change and Society Master's Program