| Title | Time | Room | Instructor |
|---|---|---|---|
| Climate Modeling | 02.05.2023 08:45 - 10:00 (Tue) | Lab Meeting room ground-floor | Goswami, Bidyut |
| Climate Modeling | 04.05.2023 08:45 - 10:00 (Thu) | Lab Meeting room ground-floor | Goswami, Bidyut |
| Climate Modeling | 09.05.2023 08:45 - 10:00 (Tue) | Lab Meeting room ground-floor | Goswami, Bidyut |
| Climate Modeling | 11.05.2023 08:45 - 10:00 (Thu) | Lab Meeting room ground-floor | Goswami, Bidyut |
| Climate Modeling | 16.05.2023 08:45 - 10:00 (Tue) | Lab Meeting room ground-floor | Goswami, Bidyut |
| Climate Modeling | 23.05.2023 08:45 - 10:00 (Tue) | Lab Meeting room ground-floor | Goswami, Bidyut |
| Climate Modeling | 25.05.2023 08:45 - 10:00 (Thu) | Lab Meeting room ground-floor | Goswami, Bidyut |
| Climate Modeling | 30.05.2023 08:45 - 10:00 (Tue) | Lab Meeting room ground-floor | Goswami, Bidyut |
| Climate Modeling | 01.06.2023 08:45 - 10:00 (Thu) | Lab Meeting room ground-floor | Goswami, Bidyut |
| Climate Modeling | 06.06.2023 08:45 - 10:00 (Tue) | Lab Meeting room ground-floor | Goswami, Bidyut |
| Climate Modeling | 13.06.2023 08:45 - 10:00 (Tue) | Office Meeting room O1.101 big | Goswami, Bidyut |
| Climate Modeling | 15.06.2023 08:45 - 10:00 (Thu) | Lab Meeting room ground-floor | Goswami, Bidyut |
Description:
Climate models are used to simulate the past, present and future of our climate. These models are a set of physically based mathematical equations mimicking the different components of the earth system and the interactions between them. We shall learn about different levels of complexities of climate models and different components of a typical General Circulation Model (GCM) model. Finally, we shall dive inside a climate model code, learn to run it and and visualize its outputs.
Capacity:
7/20
Course Code:
C_PHY-1000_S23
Course instructor(s):
Bidyut Goswami
Course type:
Taught course
Course level:
Introductory
Primary Track:
Physics
Secondary Track(s):
Computer Science
Data Science & Scientific Computing
Mathematics
Course format:
Hybrid
Duration:
Half semester
ECTS:
3
Semester:
Spring 2
Target audience:
Graduate students
Prerequisites:
Beginners level computer programming
Teaching format:
Lectures, project work
Assessment form(s):
Participation
Grading scheme:
Pass/fail
Course Category:
Credit Course
Academic Year:
AY 2022/23