Advanced Statistics Training for Climate Research

When: 26 – 29 October 2021
Where: Geophysical Institute at UiB, Bergen
Credit: 1 ECTS
Course lecturers: Prof David Stephenson and Dr Stefan Siegert from University of Exeter

Registration

(Registration deadline: 8 October)


Course description

This is a 4-day intensive course on statistical modelling concepts for climate scientists. Since it is impossible in such a short course to go into any great depth, this course aims instead to convey the fundamental modelling concepts in statistics and an understanding and ability of how to use them correctly to interpret climate data. The course will consist of eight lectures interspersed with multiple hands-on computer sessions.

Prerequisite: Participants are expected to have some knowledge of statistics and experience in using R.

Learning Outcomes

  • Deeper appreciation of statistical modelling
  • Awareness of some relevant areas of advanced statistics
  • Ability to apply methods intelligently using the R statistical language

Programme

Tuesday 26 October
09:00-09:30 1. Introduction (Prof David Stephenson)
09:30-09:45 Coffee break
09:45-11:00 2. Probability (Dr Stefan Siegert)
11:00-12:15 Interactive R session
12:15-13:15 Lunch
13:15-14:30 3. Statistical Modelling (Prof David Stephenson)
14:30-15:45 Interactive R session
15:45 Ice breaker with snacks and drinks
Wednesday 27 October
09:00-10:15 4. Statistical Inference (Dr Stefan Siegert)
10:15-10:45 Coffee break
10:45-12:00 Interactive R session
12:00-13:00 Lunch
13:00-14:15 5. Multivariate Statistics (Prof David Stephenson)
14:15-15:30 Interactive R session
Thursday 28 October
09:00-10:15 6. Spatial Statistics (Dr Stefan Siegert)
10:15-10:45 Coffee break
10:45-12:00 Interactive R session
12:00-13:00 Lunch
13:00-14:15 7. Time series modelling (Dr Stefan Siegert)
14:15-15:30 Interactive R session
Friday 29 October
09:00-10:15 8. Extreme value modelling (Prof David Stephenson)
10:15-10:45 Coffee break
10:45-12:00 Interactive R session and final discussion
12:00-13:00 Lunch

 

Useful references

R Language (free download, documentation, etc.)

www.r-project.org

Lecture notes on basic statistical concepts:

http://secamlocal.ex.ac.uk/people/staff/dbs202/cag/courses/MT37C/course-d.pdf

Daniel S. Wilks, Statistical Methods in the Atmospheric Sciences, 3rd edition.

Faraway, J. (2004) Linear Models with R, Chapman and Hall/CRC, 240pp.

Draper NR, Smith H. Applied Regression Analysis (3rd edition). New York: Wiley 1998.

A.C. Davison, Statistical Models, Cambridge University Press 2003.

M.J. Crawley, Statistics: An Introduction Using R, Wiley and Sons 2005.

Chatfield, The Analysis of Time-series: An Introduction, CRC press, 6th edition 2003.

Chatfield, Time series forecasting, Chapman and Hall/CRC press, 2000.

Bloomfield, Fourier Analysis of Time Series: An Introduction (Wiley Series in Probability & Statistics), 2000.

Coles, An Introduction to Statistical Modelling of Extreme Values, 224 pages, Springer, 2001.