Martin Wild: Catalogue data in Spring Semester 2025

Name Prof. Dr. Martin Wild
Address
Institut für Atmosphäre und Klima
ETH Zürich, CHN L 16.2
Universitätstrasse 16
8092 Zürich
SWITZERLAND
Telephone+41 44 632 82 78
E-mailmartin.wild@env.ethz.ch
DepartmentEnvironmental Systems Science
RelationshipAdjunct Professor

NumberTitleECTSHoursLecturers
651-4095-01LColloquium Atmosphere and Climate 1 Information Restricted registration - show details 1 credit1KH. 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
AbstractThe 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 objectiveGet insight into ongoing research in different fields related to atmospheric and climate science
ContentThe 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 / NoticeTo 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.
CompetenciesCompetencies
Subject-specific CompetenciesConcepts and Theoriesfostered
Social CompetenciesCommunicationfostered
651-4095-02LColloquium Atmosphere and Climate 2 Information Restricted registration - show details 1 credit1KH. 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
AbstractThe 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 objectiveGet insight into ongoing research in different fields related to atmospheric and climate sciences
Prerequisites / NoticeTo 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.
CompetenciesCompetencies
Subject-specific CompetenciesConcepts and Theoriesfostered
Social CompetenciesCommunicationfostered
651-4095-03LColloquium Atmosphere and Climate 3 Information Restricted registration - show details 1 credit1KH. 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
AbstractThe 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 objectiveGet insight into ongoing research in different fields related to atmospheric and climate sciences
Prerequisites / NoticeTo 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.
CompetenciesCompetencies
Subject-specific CompetenciesConcepts and Theoriesfostered
Social CompetenciesCommunicationfostered
701-1222-00LWeather and Climate Modeling Information 4 credits2V + 1UA. Prein, D. Leutwyler, M. Wild
AbstractWeather 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 objective1) 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.
ContentThis 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.
LiteratureList of literature will be provided.
Prerequisites / NoticeTo 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.
CompetenciesCompetencies
Subject-specific CompetenciesConcepts and Theoriesassessed
Techniques and Technologiesfostered
Method-specific CompetenciesAnalytical Competenciesfostered
Decision-makingassessed
Media and Digital Technologiesfostered
Problem-solvingfostered
Personal CompetenciesCreative Thinkingfostered
Critical Thinkingassessed
701-1232-00LRadiation and Climate Change3 credits2GM. Wild
AbstractThis lecture focuses on the prominent role of radiation in the energy balance of the Earth and in the context of past and future climate change.
Learning objectiveThe aim of this course is to develop a thorough understanding of the fundamental role of radiation in the context of Earth's energy balance and climate change.
ContentThe course will cover the following topics:
Basic radiation laws; sun-earth relations; the sun as driver of climate change (faint sun paradox, Milankovic ice age theory, solar cycles); radiative forcings in the atmosphere: aerosol, water vapour, clouds; radiation balance of the Earth (satellite and surface observations, modeling approaches); anthropogenic perturbation of the Earth radiation balance: greenhouse gases and enhanced greenhouse effect, air pollution and global dimming; radiation-induced feedbacks in the climate system (water vapour feedback, snow albedo feedback); climate model scenarios under various radiative forcings.
Lecture notesSlides will be made available
LiteratureAs announced in the course