Eddy Covariance Intensive Course

New course coming next January!

26.-30.01.2026, University of Helsinki, Kumpula Campus, Helsinki, Finland

Local organizers:

Ivan Mammarella and Asta Laasonen, University of Helsinki

 

The course covers all aspects concerning the eddy covariance technique, e.g. sensors, methods, post-processing, gap-filling. Particular focus is given to flux measurements post-processing and quality control. The post-processing software EddyUH is used during the course.

The course will consist of lectures and practical work sessions, and it is intended for MSc/PhD students.

Prerequisites:

- background in atmospheric or environmental sciences.

- able to write simple data analysis scripts using Matlab, Python, or R, etc.

The course is worth of 5 credits of ECTS (European Credit Transfer System).

 

Contents

  • Introduction to energy and gas exchange between the biosphere and the atmosphere
  • Overview of the theory behind of eddy covariance (EC) method
  • EC setup, sensors, methods, data post-processing, and flux gap-filling
  • Flux footprint
  • Data documentation, harmonization, and storage
  • EddyUH and rawdata post-processing (practical work sessions)

The course has a practical aim, such that, after the course, the participants will be able to use the EddyUH software for calculating EC fluxes. During the practical sessions, the rawdata set from our siteswill be used.

A presentation session will be organized. Each participant is invited to give a short talk about their own work/project. Results and/or planned research studies can be presented.

The course is graded on the scale pass/fail. In order to pass the course, the student should participate in lectures and practical sessions, as well as return a final essay.

Registration fee

The course is free of charge. 

Preliminary list of lecturers:

Ivan Mammarella, Timo Vesala, Aki Vähä, Pasi Kolari, Asta Laasonen, Alexander Buzacott, and others.

For applying to the course, please

  1. fill and submit this by Sunday 23.11.2025
  2. Attach a letter of motivation (one page) and CV.

Priority will be given to Master's and PhD students and staff from the University of Helsinki.

For any questions, please contact or