Advanced Statistics Training for Climate Research 2019

When:
August 19, 2019 – August 22, 2019 all-day
2019-08-19T00:00:00+02:00
2019-08-23T00:00:00+02:00
Where:
Geophysical Institute, University of Bergen

Lecturers: Prof David Stephenson and Dr Stefan Siegert from University of Exeter
Credit point: 1 ECTS
Max. no. of participants: 20
Registration form here.  Deadline 5 August
Submitted application list


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.  

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

Monday 19 Aug:             Introduction

09:30-10:45      1. Exploratory Data Analysis                           (Prof David Stephenson)
10:45-11:00      Coffee break
11:00-12:00      Interactive R session
12:00-13:00      Lunch
13:00-14:15      2. Probability                                                  (Dr Stefan Siegert)
14:15-15:30      Interactive R session
16:00                Icebreaker at GFI coffee room

Tuesday 20 Aug:            Statistical Modelling

09:30-10:45      3. Statistical Modelling                                    (Prof David Stephenson)
10:45-11:00      Coffee break
11:00-12:00      Interactive R session
12:00-13:00      Lunch
13:00-14:15      4. Statistical Inference                                     (Dr Stefan Siegert)
14:15-15:30      Interactive R session

Wednesday 21 Aug:        Multivariate and Spatial Statistics

09:30-10:45      5. Multivariate Statistics                                   (Prof David Stephenson)
10:45-11:00      Coffee break
11:00-12:00      Interactive R session
12:00-13:00      Lunch
13:00-14:15      6. Spatial Statistics                                           (Dr Stefan Siegert)
14:15-15:30      Interactive R session

Thursday 22 Aug:            Modelling Temporal and Extremal Processes

09:30-10:45      7. Time series modelling                                   (Dr Stefan Siegert)
10:45-11:00      Coffee break
11:00-12:00      Interactive R session
12:00-13:00      Lunch
13:00-14:15      8. Extreme value modelling                               (Prof David Stephenson)
14:15-15:30      Interactive R session and Final Discussion

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.

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

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

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

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