Universität Wien

280351 VU Climate Modelling Lab (2025S)

Continuous assessment of course work
Tu 29.04. 13:30-16:30 Ort in u:find Details

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 20 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

UZA II: 2G542 (Weather Discussion Room of IMG)

  • Tuesday 04.03. 13:30 - 16:30 Ort in u:find Details
  • Tuesday 11.03. 13:30 - 16:30 Ort in u:find Details
  • Tuesday 18.03. 13:30 - 16:30 Ort in u:find Details
  • Tuesday 25.03. 13:30 - 16:30 Ort in u:find Details
  • Tuesday 01.04. 13:30 - 16:30 Ort in u:find Details
  • Tuesday 08.04. 13:30 - 16:30 Ort in u:find Details
  • Tuesday 06.05. 13:30 - 16:30 Ort in u:find Details
  • Tuesday 13.05. 13:30 - 16:30 Ort in u:find Details
  • Tuesday 20.05. 13:30 - 16:30 Ort in u:find Details
  • Tuesday 27.05. 13:30 - 16:30 Ort in u:find Details
  • Tuesday 03.06. 13:30 - 16:30 Ort in u:find Details
  • Tuesday 10.06. 13:30 - 16:30 Ort in u:find Details
  • Tuesday 17.06. 13:30 - 16:30 Ort in u:find Details
  • Tuesday 24.06. 13:30 - 16:30 Ort in u:find Details

Information

Aims, contents and method of the course

The course provides an introduction to climate modeling, with a focus on the global climate model ICON. You will run ICON yourself on a state-of-the-art HPC platform.

You will be able to explain technical aspects of the ICON model, including the model grid, dynamical core and physics parametrizations. You will also have developed an understanding of climate modeling as a tool to build understanding.

You will learn how to operate the ICON climate model. You will learn to evaluate and interpret the results to answer a scientific question that will be agreed upon during the course. Y will foster your skills of working in a team and in delivering high-quality scientific presentations.

Assessment and permitted materials

The final grade will be calculated as follows:
40% written examen
10% active participation
50% project report

Each of the three components need to be completed. The partial performances are each graded from 0-100%. A weighted average is used to calculate the percentage achieved, from which the final grade is calculated according to the grading scheme.

You can earn a bonus of 10 percentage points for your final grade by describing your modeling efforts and results in a social media post, youtube video, blog post or similar. Note: the post does not need to be published to obtain the bonus, but needs to be shared with the lecturer.

Minimum requirements and assessment criteria

Grading scheme:
Grade 5: < 50%
Grade 4: 50-65%
Grade 3: 65-77.5%
Grade 2: 77.5-90%
Grade 1: > 90%

Examination topics

Written examen: content of lecture part

Reading list

Given in the course

Association in the course directory

WM-AdvCli

Last modified: Tu 04.03.2025 09:07