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Inverse methods in glaciology
Last Updated: 2026-02-05 15:29:26
Abstract
This course offers an overview of geophysical inverse methods with particular attention to applications in glaciology. We will discuss several approaches, including data fitting within certain tolerances under additional conditions; and the application of Bayes theorem. The theory is illustrated with the use of examples from glaciology.
Objective
The goal is to make the students familiar with the tools of geophysical inverse theory. The emphasis is on linear models to learn some of the basic tools. The student should learn how to make optimal use of data (which are associated with uncertainties), as well as knowledge of the physical system (the forward model) and knowledge about model parameters that already exists (prior model). It should become clear that there is not a single solution to inverse problems, and that different approaches often lead to very similar solutions.
General Information
- Language
- English
- Levels
- MSC
- Frequency
- Yearly recurring
Examination
- Type
- ungraded semester performance
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise | Inverse methods in glaciology |
|
2 h weekly |
Offered In
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Electives (The students are free to choose individually from the entire course offer of ETH Zürich and the universities of Zürich and Bern.)
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