Advanced Statistics Training for Climate Research

When:
August 22, 2017 – August 25, 2017 all-day
2017-08-22T00:00:00+02:00
2017-08-26T00:00:00+02:00
Where:
Geophysical Institute, University of Bergen, Bergen

Credit points: The workload of the course is one full week, which normally corresponds to 2 ECTS.

Registration form here.

Max. no. of participants: 20

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

Tuesday 22 Aug:                      Introduction

10:00-11:00      1. Exploratory Data Analysis                             (Prof David Stephenson)
11:00-11:15      Coffee break
11:15-12:15      Interactive R session
12:15-13:15      Lunch
13:15-14:15      2. Probability                                                    (Dr Stefan Siegert)
14:15-15:30      Interactive R session

Wednesday 23 Aug:                 Statistical Modelling

10:00-11:00      3. Statistical Modelling                                      (Prof David Stephenson)
11:00-11:15      Coffee break
11:15-12:15      Interactive R session
12:15-13:15      Lunch
13:15-14:15      4. Statistical Inference                                       (Dr Stefan Siegert)
14:15-15:30      Interactive R session/Seminar on uncertainty in NAO predictability

Thursday 24 Aug:                    Multivariate and Spatial Statistics

10:00-11:00      5. Multivariate Statistics                                    (Prof David Stephenson)
11:00-11:15      Coffee break
11:15-12:15      Interactive R session
12:15-13:15      Lunch
13.15-14:15      6. Spatial Statistics                                            (Dr Stefan Siegert)
14:15-15:30      Interactive R session

Friday 25 Aug:             Modelling Temporal and Extremal Processes

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

*All lectures will be at BCCR lecture room 4020 and all practical sessions at G-Lab.*

 

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