Advanced Statistics Training for Climate Research @ Geophysical Institute, University of Bergen, Bergen
Aug 22 – Aug 25 all-day

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


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.)

Lecture notes on basic statistical concepts:

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

Land surface modeling course @ Geophysical Institute, University of Bergen, Bergen
Oct 2 – Oct 6 all-day

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

Course organisers: Dr. Hanna Lee/Uni Research Climate, Prof Chong-Yu Xu/UiO (LATICE)

Student background: Students who have background in terrestrial science, atmospheric science, geology, geography, biology are welcome to join.

Maximum number of students: 12

REGISTRATION HERE.  Deadline: 1 September 2017

Submitted application list

Course description

The main objective of this course is to educate and train theories and application of land surface modeling in the framework of the Norwegian Earth System Model to increase the use of climate modeling in terrestrial sciences research and to train the next generation land surface modelers. The course will focus on addressing:

1) the understanding and modelling of processes controlling fluxes of water and energy at the boundary between the land surface and the atmosphere, and

2) the interaction between biogeophysics and biogeochemistry in terrestrial systems and modeling these processes in land surface modeling.

The students will gain experience in conducting site-level simulations and model experiments to understand structure and function of the Community Land Model.

Invited guest lecturers:

Prof. Jordi Vila, Wageningen University, Netherlands
Dr. Danica Lombardozzi, National Center for Atmospheric Research, USA
Dr. Sarah Chadburn, University of Exeter, UK
Dr. Altug Ekici, Uni Research Climate
Dr. Yuanchao Fan, Uni Research Climate
Dr. Hui Tang, University of Oslo

Morning lectures

Morning lectures will address theoretical basis of land surface modeling. The lectures will focus on biogeophysics and biogeochemistry to strengthen the students’ knowledge in functioning of land surface modeling in Earth System Model framework.

Day 1&2: lectures on biogeophysics focused on water and energy balance and fluxes
Day 3&4: lectures on biogeochemistry focused on carbon and nitrogen cycling
Day 4&5: lectures on Community Land Model and NorESM, model structure and functioning

Afternoon practical

The lab sessions will focus on practical use of the model. The students will prepare tentative research questions they want to answer using the model. During the lab, the students will conduct some of the model simulation experiments (site-simulations). On the afternoon of Day5, the students will present their model results and findings to discuss future application.

Day 1: Land-atmospheric interaction
Day 2: Student project discussion / General model simulations
Day 3: Site-simulations
Day 4: Site-simulation experiments and analysis
Day 5: Student discussion and presentation

Scientific writing course with Daniel Soule @ Geophysical Institute, University of Bergen, Bergen
Oct 23 – Oct 25 all-day

Three days intensive course tailored for climate science, led by Daniel Soule.

Credit points: The workload is three full days with teaching and exercise and corresponds to 1 ECTS.

Maximum no. of participants: 20

Register here. Deadline: 23 September

Submitted application list

Course description:

This three day writing workshop will introduce students to complexities of writing research papers, with a view to making the process easier and more transparent. Day one will concentrate on three interrelated problems in writing research: mastering the style of a scientific research paper; how to be an efficient writer and understand how and why writers get blocked; and finally tips for reviewing the literature and developing critical thinking.

Day two breaks down the research paper into its constituent parts and unpick their structures. These structures can then be used to model a plan and write the article.  Finally, day three takes an overview of the whole process of writing and publishing a research paper, including co-authoring, drafting, editing, and peer review. Importantly, this final day will also discuss the importance of the post-publication life of your papers, such as their impact and social networking your results.

Day 1: Introduction to Research Writing:

Academic style
The Writing Process: Generating Writing
Reviewing the Literature and Thinking Critically

Day 2: Research Articles Structures

How to Write Introductions
How to Write Methodologies
Writing About Evidence and Data
How to Write Conclusions

Day 3: Writing for Different Audiences

The Writing Process: Co-authoring, Editing and Proofreading
Submission and Peer-review
The Publishing Process
Maximising Your Impact: Impact Factors, H Indexing and Social Networking

Hydrometeorological downscaling and bias correction techniques @ Statkraft AS, Lysaker, Norway
Nov 6 – Nov 8 all-day


  • To provide an overview of statistical and dynamical approaches to downscaling and bias correction
  • Students will be introduced to some statistical (esd) and simplified (ICAR) downscaling packages

Responsible: John Burkhart / Asgeir Sorteberg

Credit points: 1 ECTS (TBC)

More details and registration coming soon…..

Writing successful project proposals – From idea to project: Preparing a draft proposal @ Geophysical Institute, University of Bergen, Bergen
Nov 20 – Nov 21 all-day

Course leaders: Friederike U. Hoffmann, Research Coordinator at GFI and EU expert evaluator; Nadine Goris, Researcher at Uni Climate

Time: 20-21 November 2017, 09:00 – 16:30 both days

Credit point: 1 (ECTS)

Maximu number of participants: 14

Registration will start soon


Course description

Target group is early career scientists (PhD, Post Doc, young researchers) in climate sciences with little or no experience in proposal writing.

The course will enable you to apply for external funding of your own research. You will learn how to prepare a draft for a successful research project proposal.

Using your own research ideas, you will learn:

– how to plan and structure a draft proposal
– how to develop the different components of the draft proposal
– how to draft a project budget
– where you can apply for funding

The course includes lectures, group work and plenary discussion. During the course, the participants will develop the project ideas of 3 participants into ready-to-use draft proposals.