Data Assimilation Summer School @ Universitatea Politehnica Timisoara, Timisoara, Romania
Jul 22 – Aug 2 all-day

The 6th data assimilation summer school aims to educate and to familiarize graduate students (MSc and PhD) with the basic concepts of data assimilation, to illustrate them by applications and to offer an overview of special topics related to the challenges and issues of data assimilation in the geosciences.
The summer school will set an arena for discussions and debates around the big data challenge presents in practical applications of these methodologies: hydrology, atmospheric sciences, oceanography and geosciences.
This summer school targets primarily students and researchers at an early stage of their career with/without previous experience in data assimilation.
CHESS will support 5 PhD members to participate in the school.

For more details and registration, please check the website:

Bornö Summer School 2019 @ Hydrological station, Bornö Island, Sweden
Jul 29 – Aug 9 all-day

Bornö Stationen, a small retreat in Sweden

Organiser/Responsible: Joe LaCasce/UiO
Credit points: 5 ECTS
Registration form here. Deadline: 16 June
Max. no. of CHESS participants: 4
Participant submission list

The Bornö Summer School is a two week summer school covering topics in dynamics relevant for the ocean and atmosphere. During the school, the students will code their own numerical ocean model, in Python and Matlab. Lectures are given in the mornings about fundamental dynamics, and in the afternoons the students conduct experiments with their models to study the same phenomena. The course is aimed primarily at students beginning in dynamics, but is appropriate for all levels.
The course takes place at a hydrological station on the island of Stora Bornö, off the west coast of Sweden. The station lies directly on the Gullmarsfjord, allowing observations to be made. Lecturers and students stay at the station, and a cook will prepare (fantastic) 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.

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

Advanced Statistics Training for Climate Research 2019 @ Geophysical Institute, University of Bergen
Aug 19 – Aug 22 all-day

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 19 July
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


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.)

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.

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.


Advanced Climate Dynamic Courses (ACDC 2019) @ Yosemite Field Station, Yosemite National Park, USA
Sep 22 – Oct 4 all-day

Advanced Climate Dynamics Courses (ACDC), supported by CHESS and other agencies, are yearly summer schools organized by the Bjerknes Centre for Climate Research (University of Bergen) in collaboration with the University of Washington, Woods Hole Oceanographic Institution, and the University of Texas at Austin.

The online application for ACDC 2019 is now open. The summer school will take place at Yosemite Field Station, Yosemite National Park, USA | 22. September – 4. October, 2019. The topic is “The Anthropocene”.

Read the flyer here.

ACDC website and registration. Deadline: 1 April, 2019 (registration closed)


Climate science at high latitudes: eScience for linking Arctic measurements and modeling @ Abisko Scientific Research Station, Sweden
Oct 15 – Oct 24 all-day

Coordination: Paul Zieger and Paul Glantz (Stockholm University)
Co-organisers and Lecturers: Michael Schulz (University of Oslo/Meteorologisk Institutt), Ilona Riipinen (Stockholm University) and Antti Lauri (University of Helsinki)
Expected number of participants: 20-25 students, lecturers (5) and assistants (5)
Maximum no. of CHESS participants: 6   *Travel costs of CHESS students will be covered by CHESS*
Credit points: 5

This course aims to teach the next generation of scientists to integrate different eScience tools and infrastructures to achieve a more holistic interpretation of the climate system and its components through model and data analysis. The focus of the course is on the application of eScience tools, but applied to climate and air quality research at high northern latitudes. It is the third part of a series of three two-week graduate courses, open to graduate students and early career scientists from the Nordic countries and Europe.

More details and the registration form (deadline: 15th of August 2019) can be found here: