VVZ API is not affiliated with ETH Zurich. Data might be outdated or incorrect. Please view the official ETHZ Vorlesungsverzeichnis for binding information.
European Climate Change
Last Updated: 2026-06-03 00:07:51
Abstract
The lecture provides an overview of climate change in Europe, from a physical and atmospheric science perspective. It covers the following topics:• observational datasets, observation and detection of climate change;• underlying physical processes and feedbacks;• numerical and statistical approaches;• currently available projections.
Objective
At the end of this course, participants should: • understand the key physical processes shaping climate change in Europe; • know about the methodologies used in climate change studies, encompassing observational, numerical, as well as statistical approaches; • be familiar with relevant observational and modeling data sets; • be able to tackle simple climate change questions using available data sets.
Content
Contents: • global context • observational data sets, analysis of climate trends and climate variability in Europe • global and regional climate modeling • statistical downscaling • key aspects of European climate change: intensification of the water cycle, Polar and Mediterranean amplification, changes in extreme events, changes in hydrology and snow cover, topographic effects • projections of European and Alpine climate change
Resources
Lecture Notes
Slides and lecture notes will be made available athttp://www.iac.ethz.ch/edu/courses/master/electives/european-climate-change.html
General Information
- Language
- English
- Levels
- MSC
- Frequency
- Yearly recurring
Examination
- Type
- graded semester performance
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise | European Climate Change | No time listed | 2 h weekly |
Offered In
-
-
Electives (In the ‘electives’ subcategory, at least two course units must be successfully completed. All courses listed as core courses (not electives) for one of the following ETH MSc programmes, MSc Statistics, MSc Physics, MSc Computer Science, MSc (Applied) Mathematics, MSc Neural Systems and Computation, MSc Robotics, Systems, and Control, MSc Data Science, MSc Electrical Engineering and Information Technology, can be taken as an elective course in the MSc CSE without prior permission.)
-
-
-
-
-
-
General Electives (Students may choose General Electives from the entire course programme of ETH Zurich - with the following restrictions: courses that belong to the first or second year of a Bachelor curriculum at ETH Zurich as well as courses from GESS "Science in Perspective" are not eligible here. The following courses are explicitly recommended to physics students by their lecturers. (Courses in this list may be assigned to the category "General Electives" directly in myStudies. For the category assignment of other eligible courses keep the choice "no category" and take contact with the Study Administration ( ) after having received the credits.))
-
-
-
-
-
-
Vertiefungsfächer (Im ersten Semester der Ausbildung werden keine Vertiefungsfächer angeboten.)
-