280354 VU Modelling and Data Analysis (2023W)

6.00 ECTS (4.00 SWS), SPL 28 - Erdwissenschaften, Meteorologie - Geophysik und

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).

Registration is open from Mo 04.09.2023 00:00 to Tu 26.09.2023 23:59
Registration is open from Th 28.09.2023 00:00 to We 04.10.2023 23:59
Deregistration possible until Tu 31.10.2023 23:59

Details

max. 20 participants

Language: English

Lecturers

Classes (iCal) - next class is marked with N

    
    Wednesday
    04.10.
    08:45 - 10:15
    Praktikumsraum Meteorologie 2F513 5.OG UZA II
    
    Wednesday
    04.10.
    14:45 - 16:45
    Praktikumsraum Meteorologie 2F513 5.OG UZA II
    
    Wednesday
    11.10.
    08:45 - 10:15
    Praktikumsraum Meteorologie 2F513 5.OG UZA II
    
    Wednesday
    11.10.
    14:45 - 16:45
    Praktikumsraum Meteorologie 2F513 5.OG UZA II
    
    Wednesday
    18.10.
    08:45 - 10:15
    Praktikumsraum Meteorologie 2F513 5.OG UZA II
    
    Wednesday
    18.10.
    14:45 - 16:45
    Praktikumsraum Meteorologie 2F513 5.OG UZA II
    
    Wednesday
    25.10.
    08:45 - 10:15
    Praktikumsraum Meteorologie 2F513 5.OG UZA II
    
    Wednesday
    25.10.
    14:45 - 16:45
    Praktikumsraum Meteorologie 2F513 5.OG UZA II
    
    Wednesday
    08.11.
    08:45 - 10:15
    Praktikumsraum Meteorologie 2F513 5.OG UZA II
    
    Wednesday
    08.11.
    14:45 - 16:45
    Praktikumsraum Meteorologie 2F513 5.OG UZA II
    
    Wednesday
    15.11.
    08:45 - 10:15
    Praktikumsraum Meteorologie 2F513 5.OG UZA II
    
    Wednesday
    15.11.
    14:45 - 16:45
    Praktikumsraum Meteorologie 2F513 5.OG UZA II
    
    Wednesday
    22.11.
    08:45 - 10:15
    Praktikumsraum Meteorologie 2F513 5.OG UZA II
    
    Wednesday
    22.11.
    14:45 - 16:45
    Praktikumsraum Meteorologie 2F513 5.OG UZA II
    
    Wednesday
    29.11.
    08:45 - 10:15
    Praktikumsraum Meteorologie 2F513 5.OG UZA II
    
    Wednesday
    29.11.
    14:45 - 16:45
    Praktikumsraum Meteorologie 2F513 5.OG UZA II
    
    Wednesday
    06.12.
    08:45 - 10:15
    Praktikumsraum Meteorologie 2F513 5.OG UZA II
    
    Wednesday
    06.12.
    14:45 - 16:45
    Praktikumsraum Meteorologie 2F513 5.OG UZA II
    
    Wednesday
    13.12.
    08:45 - 10:15
    Praktikumsraum Meteorologie 2F513 5.OG UZA II
    
    Wednesday
    13.12.
    14:45 - 16:45
    Praktikumsraum Meteorologie 2F513 5.OG UZA II
    
    Wednesday
    10.01.
    08:45 - 10:15
    Praktikumsraum Meteorologie 2F513 5.OG UZA II
    
    Wednesday
    10.01.
    14:45 - 16:45
    Praktikumsraum Meteorologie 2F513 5.OG UZA II
    
    Wednesday
    17.01.
    08:45 - 10:15
    Praktikumsraum Meteorologie 2F513 5.OG UZA II
    
    Wednesday
    17.01.
    14:45 - 16:45
    Praktikumsraum Meteorologie 2F513 5.OG UZA II
    
    Wednesday
    24.01.
    08:45 - 10:15
    Praktikumsraum Meteorologie 2F513 5.OG UZA II
    
    Wednesday
    24.01.
    14:45 - 16:45
    Praktikumsraum Meteorologie 2F513 5.OG UZA II
    
    Wednesday
    31.01.
    08:45 - 10:15
    Praktikumsraum Meteorologie 2F513 5.OG UZA II
    
    Wednesday
    31.01.
    14:45 - 16:45
    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: Fr 13.10.2023 16:08