Universität Wien

280354 VU Modelling and Data Analysis (2025W)

6.00 ECTS (4.00 SWS), SPL 28 - Erdwissenschaften, Meteorologie-Geophysik und Astronomie
Continuous assessment of course work
Moodle

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

We'll start on October 1st. But we'll have to skip the October 8th lecture as I will be on a field campaign.
The 8:45 to 10:45 time slot is reserved for lectures.
We'll continue with exercises directly after, from 11:00 a.m. onwards (generally taking about 1 hour).

  • Wednesday 01.10. 08:45 - 12:30 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Wednesday 08.10. 08:45 - 12:30 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Wednesday 15.10. 08:45 - 12:30 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Wednesday 22.10. 08:45 - 12:30 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Wednesday 29.10. 08:45 - 12:30 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Wednesday 05.11. 08:45 - 12:30 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Wednesday 12.11. 08:45 - 12:30 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Wednesday 19.11. 08:45 - 12:30 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Wednesday 26.11. 08:45 - 12:30 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Wednesday 03.12. 08:45 - 12:30 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Wednesday 10.12. 08:45 - 12:30 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Wednesday 17.12. 08:45 - 12:30 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Wednesday 07.01. 08:45 - 12:30 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Wednesday 14.01. 08:45 - 12:30 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Wednesday 21.01. 08:45 - 12:30 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Wednesday 28.01. 08:45 - 12:30 Praktikumsraum Meteorologie 2F513 5.OG UZA II

Information

Aims, contents and method of the course

This course provides an introduction to climate models, including their dynamics and physics, and fundamental data analysis techniques, including time series analysis, filtering, and model evaluation.

At the end of the semester, students can:
- Describe the concept and structure of climate models
- Explain the properties of different numerical methods and parameterization schemes
- Run a climate model in a high performance computing environment
- Analyze and visualize model output

Assessment and permitted materials

Written exams (intermediate and final exam), active participation in the exercises

Minimum requirements and assessment criteria

The final grade is influenced in equal parts by the lecture and exercise part. For a positive grade a total percentage score of at least 50% is required. Every exercise counts as partial achievement, and all partial achievements have to be completed.

Basic knowledge of Python is required to follow this course. Basic knowledge of bash and meteorological concepts is an advantage.

Examination topics

Contents of the course

Reading list

Andrew Gettelman and Richard B. Rood - Demystifying climate models

Association in the course directory

PM-ModAna

Last modified: Tu 21.10.2025 13:47