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Table of Contents

1. Course title

Eddy covariance intensive course
Eddy covariance intensive course
Eddy covariance intensive course


2. Course code



3. Course status: optional

-Which degree programme is responsible for the course?
Master's Programme in Atmospheric Sciences

-Which module does the course belong to?
ATM300 Advanced Studies in Atmospheric Sciences
optional for

  • Study Track in Biogeochemical Cycles
  • Study Track in Meteorology

-Is the course available to students from other degree programmes?

4. Course level (first-, second-, third-cycle/EQF levels 6, 7 and 8)


Master’s level, degree programmes in medicine, dentistry and veterinary medicine = secondcycle
degree/EQF level 7
Doctoral level = third-cycle (doctoral) degree/EQF level 8


-Does the course belong to basic, intermediate or advanced studies (cf. Government Decree
on University Degrees)?
Advanced studies

5. Recommended time/stage of studies for completion

Can be taken in the early or later stages of studies. However, it is recommended after the ATM347 Boundary Layer Physics I.

6. Term/teaching period when the course will be offered


  • Spring term, not every year.

7. Scope of the course in credits

5 cr

8. Teacher coordinating the course

Ivan Mammarella

9. Course learning outcomes

  • You will learn how to process and analysis the eddy covariance flux measurements.
  • You will learn how to use the post-processing software EddyUH.

10. Course completion methods

Lectures, practical sessions in the class and final essay. Students will write the final essay after course.

11. Prerequisites

Also other courses related to micrometeorological flux measurements (ATM331 Theory of Micrometeorological Flux Measurements) and time-series analysis (ATM310 Time Series Analysis in Geosciences) may be useful.

12. Recommended optional studies

If you are interested in continuing in the subject courses ATM332 Terrestrial water, carbon and nitrogen cycles and  ATM328 Global biogeochemical cycles  are recommended.

13. Course content

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

14. Recommended and required literature

  •  Lecture notes
  • Peer-reviewed articles
  • Supplementary reading: Eddy covariance: a practical guide to measurement and data analysis / Marc Aubinet, Timo Vesala, Dario Papale, editors

15. Activities and teaching methods in support of learning

Lectures and practical sessions in the classroom.

16. Assessment practices and criteria, grading scale

Individual essay after the course

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

17. Teaching language