(Formerly CLIM 759: Special Topics)
Instructor: Timothy DelSole
Semester: Fall 2008
Email: tdelsole@gmu.edu
OfÞce Phone: 301-902-1258
Catalogue Description: Introduction to a core set of statistical methods
that have proven useful to modern climate and predictability research. Topics
include detecting and attributing climate change, describing climate
variability with empirical orthogonal functions, statistical forecasting with
regression and time series models, and identifying coupled patterns of
variability with canonical correlation analysis.
Prerequisites: undergraduate level linear algebra and probability, or
permission of instructor.
Class Meeting: Mondays, 10:30am-1:15pm, IN139
Grading: Homework: 60%, Exam: 25%, Project: 15%
Course Text: There is no ofÞcial text book for this course. Lecture
notes will be handed out or made available electronically. The following texts
may prove useful:
Statistical Analysis in Climate Research, by von Storch and Zwiers,
Cambridge Univ Press.
Probability and Statistics, by Spiegel, Schaums Outlines.
Applied Multivariate Statistical Analysis, by Johnson and Wichern.
Expectations
for R Programming
Chapter 1 Homework 1 (Due 9
September 2008)
Chapter 2 Homework 2 (Due
16 September 2008)
Chapter 4 Homework 3 (Due
23 September 2008)
Chapter 3 Homework 4 (Due
30 September 2008)
Chapter 5 Homework 5 (Due
7 October 2008)
Chapter 6 Homework 6 (Due
14 October 2008)