Statistical Methods in Climate Research

Welcome to CLIM762!

Catalogue Description: Introduction to a core set of statistical methods that have proven useful to modern climate and predictability research. Topics include hypothesis testing, autoregression models, analysis of variance, statistical forecasting, linear regression, cross validation, principal component analysis.

Instructor: Timothy DelSole
Location: Innovation Hall 139
Class Time: 10:30am - 1:10pm
Semester: Fall 2016
Office: Room 112, Research Hall
Phone: 703-993-5715
E-mail: tdelsole "at"
Prerequisites: linear algebra, programming experience

Lecture Notes and Homeworks

08/27/2016 Probability Concepts Homework Solutions
09/03/2016 Hypothesis Tests Homework Solutions
09/10/2016 Confidence Intervals Homework Solutions
09/17/2016 No Class (shifted from Labor Day) - -
09/24/2016 Hypothesis Testing Based on Ranks Homework Solutions
10/01/2016 Stochastic Processes Homework Solutions
10/09/2016* Power Spectra Homework Solutions
10/15/2016 Multivariate Concepts Homework Solutions
10/22/2016 Linear Regression: Estimation Homework Solutions
10/29/2016 Linear Regression: Inference Homework Solutions
11/05/2016 Principal Component Analysis Homework Solutions
11/12/2016 Model Selection - -
11/19/2016 FINAL EXAM; Project Description Due - -
11/26/2016 Review of Final Exam (1-2:30pm) - -
12/03/2016 Pitfalls of Statistical Inference - -
12/17/2016 Class Presentations - -