Calendar

Jul
30
Sun
Bornö Summer School in Ocean Dynamics @ Stora Borno, Sweden
Jul 30 – Aug 12 all-day

Organiser/Responsible person: Joe LaCasce / UiO

Target group: Beginning students in oceanography

Credit points: 5 ECTS

Registration form here.

Registration deadline: 7 June

Max. no. of CHESS participants: 4

Submitted application list


The Borno Summer School is a two week summer school covering topics in ocean dynamics. During the school, the students will code their own numerical ocean model, while learning about fundamental dynamics. They will also conduct experiments with the models to study the phenomena
discussed in the lectures. The course is aimed primarily at beginning students in oceanography.

The course takes place at a hydrological station on the island of Stora Borno, off the west coast of Sweden. The station lies directly on the Gullmarsfjord, allowing observations to be made in the local ocean. Lecturers and students stay at the station, and a cook will prepare meals. Students from Denmark, Sweden and Germany will participate as well, in addition to those from Norway. Space is limited at the station. The island is roughly 4 km long, covered with pine trees and is very scenic.

Lecturers:
Week 1: Carsten Eden (Univ. Hamburg), Markus Jochum (Univ. Copenhagen)
Week 2: Joe LaCasce (Univ. Oslo), Jonas Nycander (Univ. Stockholm)

Aug
22
Tue
Advanced Statistics Training for Climate Research @ Geophysical Institute, University of 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 deadline is 22 July.

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 4060 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

Sep
11
Mon
ACDC Summer School 2017 @ Rondvassbu in Rondane National Park, Norway
Sep 11 – Sep 22 all-day

For all details see their website : http://www.uib.no/en/rs/acdc

Sep
25
Mon
PhD Conference 2017 @ Chalmers sauna in Härryda, Sweden
Sep 25 – Sep 28 all-day

Objectives:

  • To provide a relaxing atmosphere for PhD students in climate sciences to discuss work related topics
  • ultimate goal is to extend PhD students’ networks which will lead to tighter collaboration and increase information exchanges between nordic climate sciences.

Responsible: Joonas Kiviranta

 

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

Objective:

  • to educate and train theories and application of land surface modelling in the framework of the Norwegian Earth System Model

More details and registration coming soon….

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

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.

 

Details and registration coming soon…..

 

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

Objectives:

  • 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…..