Andreas Prein: Catalogue data in Spring Semester 2025 |
| Name | Prof. Dr. Andreas Prein |
| Name variants | Andreas F. Prein Andreas Prein |
| Field | High-Resolution Weather and Climate Modelling |
| Address | Hochaufl. Wetter- u Klimamodel. ETH Zürich, CHN N 11 Universitätstrasse 16 8092 Zürich SWITZERLAND |
| Telephone | +41 44 632 30 29 |
| andreas.prein@env.ethz.ch | |
| Department | Environmental Systems Science |
| Relationship | Full Professor |
| Number | Title | ECTS | Hours | Lecturers | ||||||||||||||||||||||||||
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| 651-4095-01L | Colloquium Atmosphere and Climate 1   | 1 credit | 1K | H. Joos, S. I. Seneviratne, D. N. Bresch, D. Domeisen, E. Fischer, N. Gruber, C. Heald, R. Jnglin Wills, R. Knutti, U. Lohmann, C. Mohr, A. Prein, H. Wernli, M. Wild | ||||||||||||||||||||||||||
| Abstract | The colloquium is a series of scientific talks by prominent invited speakers assembling interested students and researchers from around Zürich. Students take part of the scientific discussions. | |||||||||||||||||||||||||||||
| Learning objective | Get insight into ongoing research in different fields related to atmospheric and climate science | |||||||||||||||||||||||||||||
| Content | The colloquium is a series of scientific talks by prominent invited speakers assembling interested students and researchers from around Zürich. Students take part of the scientific discussions. | |||||||||||||||||||||||||||||
| Prerequisites / Notice | To acquire credit points for this colloquium, please confirm your attendance of 8 colloquia per semester by using the form which is provided at the course webpage. | |||||||||||||||||||||||||||||
| Competencies |
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| 651-4095-02L | Colloquium Atmosphere and Climate 2 | 1 credit | 1K | H. Joos, S. I. Seneviratne, D. N. Bresch, D. Domeisen, E. Fischer, N. Gruber, C. Heald, R. Jnglin Wills, R. Knutti, U. Lohmann, C. Mohr, A. Prein, H. Wernli, M. Wild | ||||||||||||||||||||||||||
| Abstract | The colloquium is a series of scientific talks by prominent invited speakers assembling interested students and researchers from around Zürich. Students take part of the scientific discussions. | |||||||||||||||||||||||||||||
| Learning objective | Get insight into ongoing research in different fields related to atmospheric and climate sciences | |||||||||||||||||||||||||||||
| Prerequisites / Notice | To acquire credit points for this colloquium, please confirm your attendance of 8 colloquia per semester by using the form which is provided at the course webpage. | |||||||||||||||||||||||||||||
| Competencies |
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| 651-4095-03L | Colloquium Atmosphere and Climate 3 | 1 credit | 1K | H. Joos, S. I. Seneviratne, D. N. Bresch, D. Domeisen, E. Fischer, N. Gruber, C. Heald, R. Jnglin Wills, R. Knutti, U. Lohmann, C. Mohr, A. Prein, H. Wernli, M. Wild | ||||||||||||||||||||||||||
| Abstract | The colloquium is a series of scientific talks by prominent invited speakers assembling interested students and researchers from around Zürich. Students take part of the scientific discussions. | |||||||||||||||||||||||||||||
| Learning objective | Get insight into ongoing research in different fields related to atmospheric and climate sciences | |||||||||||||||||||||||||||||
| Prerequisites / Notice | To acquire credit points for this colloquium, please confirm your attendance of 8 colloquia per semester by using the form which is provided at the course webpage. | |||||||||||||||||||||||||||||
| Competencies |
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| 701-1222-00L | Weather and Climate Modeling | 4 credits | 2V + 1U | A. Prein, D. Leutwyler, M. Wild | ||||||||||||||||||||||||||
| Abstract | Weather and climate models shape decisions from daily routines to battling climate change. This course introduces weather and climate models, from core equations to real-world applications in forecasting and climate projections. You'll run a state-of-the-art model, deepen your skills, and explore key challenges and opportunities. Join to master these essential tools for shaping the future. | |||||||||||||||||||||||||||||
| Learning objective | 1) Understand fundamental equations governing weather and climate models. 2) Run a state-of-the-art weather model and analyze forecast outputs. 3) Recognize key challenges in weather and climate modeling. 4) Develop critical skills for interpreting and using model results. 5) Explore real-world applications of weather and climate models in decision-making. | |||||||||||||||||||||||||||||
| Content | This course dives into essential themes of weather and climate modeling, including numerical methods, atmospheric model formulation, and physical process parameterization (clouds, convection, radiation). You’ll also explore data assimilation, limits of predictability including chaos theory, and climate models (coupled atmospheric and oceanic systems). Gain hands-on experience with state-of-the-art modeling tools and their analysis using Python in the tutorial. | |||||||||||||||||||||||||||||
| Literature | List of literature will be provided. | |||||||||||||||||||||||||||||
| Prerequisites / Notice | To follow this course, you need some basic background in atmospheric science, mathematical methods, as well as experience in programming. Previous experience with Python and Linux environments is useful but not required. | |||||||||||||||||||||||||||||
| Competencies |
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