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280351 VU Climate Modelling Lab (2024S)
Continuous assessment of course work
Labels
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 05.02.2024 00:00 to Tu 27.02.2024 23:59
- Registration is open from Th 29.02.2024 00:00 to We 06.03.2024 23:59
- Deregistration possible until Su 31.03.2024 23:59
Details
max. 15 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
UZA II: 2G542 (Weather Discussion Room of IMG)
- Tuesday 05.03. 13:30 - 14:30 Ort in u:find Details
- Tuesday 05.03. 14:30 - 16:30 Ort in u:find Details
- Tuesday 19.03. 13:30 - 14:30 Ort in u:find Details
- Tuesday 19.03. 14:30 - 16:30 Ort in u:find Details
- Tuesday 09.04. 13:30 - 14:30 Ort in u:find Details
- Tuesday 09.04. 14:30 - 16:30 Ort in u:find Details
- Tuesday 16.04. 13:30 - 14:30 Ort in u:find Details
- Tuesday 16.04. 14:30 - 16:30 Ort in u:find Details
- Tuesday 23.04. 13:30 - 14:30 Ort in u:find Details
- Tuesday 23.04. 14:30 - 16:30 Ort in u:find Details
- Tuesday 30.04. 13:30 - 14:30 Ort in u:find Details
- Tuesday 30.04. 14:30 - 16:30 Ort in u:find Details
- Tuesday 07.05. 13:30 - 14:30 Ort in u:find Details
- Tuesday 07.05. 14:30 - 16:30 Ort in u:find Details
- Tuesday 14.05. 13:30 - 14:30 Ort in u:find Details
- Tuesday 14.05. 14:30 - 16:30 Ort in u:find Details
- Tuesday 21.05. 13:30 - 14:30 Ort in u:find Details
- Tuesday 21.05. 14:30 - 16:30 Ort in u:find Details
- Tuesday 28.05. 13:30 - 14:30 Ort in u:find Details
- Tuesday 28.05. 14:30 - 16:30 Ort in u:find Details
- Tuesday 04.06. 13:30 - 14:30 Ort in u:find Details
- Tuesday 04.06. 14:30 - 16:30 Ort in u:find Details
- Tuesday 11.06. 13:30 - 14:30 Ort in u:find Details
- Tuesday 11.06. 14:30 - 16:30 Ort in u:find Details
- Tuesday 18.06. 13:30 - 14:30 Ort in u:find Details
- Tuesday 18.06. 14:30 - 16:30 Ort in u:find Details
- Tuesday 25.06. 13:30 - 14:30 Ort in u:find Details
- Tuesday 25.06. 14:30 - 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 to study basic phenomena of climate dynamics.At the end of the lecture part, you will be able to explain technical aspects of the ICON model, e.g., the model grid, dynamical core and physics parametrizations. You will also have developed an understanding of hierarchical climate modeling.In the exercises, you will learn how to operate the ICON climate model. This can include changes to the model source code and boundary conditions. Possible model experiments include the climate response to a quadrupling of CO2, a climate with transparent clouds, and an Eyeball Earth.You will learn to evaluate and interpret the results to answer a scientific question.
Assessment and permitted materials
The final grade will be calculated as follows:
20% multiple choice test (content: lecture part)
20% active participation and discussion
30% final presentation (30 mins)
30% final reportEach of the four components need to be completed. The four 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 lecturers.
20% multiple choice test (content: lecture part)
20% active participation and discussion
30% final presentation (30 mins)
30% final reportEach of the four components need to be completed. The four 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 lecturers.
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%
Grade 5: < 50%
Grade 4: 50-65%
Grade 3: 65-77.5%
Grade 2: 77.5-90%
Grade 1: > 90%
Examination topics
Multiple choice test: entire content of lecture
Reading list
Given in the course
Association in the course directory
WM-AdvCli
Last modified: Tu 05.03.2024 10:47