From 2 November 2020, the autumn semester 2020 will take place online. Exceptions: Courses that can only be carried out with on-site presence. Please note the information provided by the lecturers via e-mail.

Heini Wernli: Catalogue data in Spring Semester 2020

Name Prof. Dr. Heini Wernli
FieldAtmosperic Dynamics
Address
Institut für Atmosphäre und Klima
ETH Zürich, CHN M 12.1
Universitätstrasse 16
8092 Zürich
SWITZERLAND
Award: The Golden Owl
Telephone+41 44 632 54 80
E-mailheini.wernli@env.ethz.ch
DepartmentEnvironmental Systems Science
RelationshipFull Professor

NumberTitleECTSHoursLecturers
651-4095-01LColloquium Atmosphere and Climate 1 Information Restricted registration - show details 1 credit1KC. Schär, H. Wernli, D. N. Bresch, D. Domeisen, N. Gruber, H. Joos, R. Knutti, U. Lohmann, T. Peter, S. I. Seneviratne, K. Steffen, 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.
Objective-get 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.
651-4095-02LColloquium Atmosphere and Climate 2 Information Restricted registration - show details 1 credit1KC. Schär, H. Wernli, D. N. Bresch, D. Domeisen, N. Gruber, H. Joos, R. Knutti, U. Lohmann, T. Peter, S. I. Seneviratne, K. Steffen, 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.
Objective-get 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.
651-4095-03LColloquium Atmosphere and Climate 3 Information Restricted registration - show details 1 credit1KC. Schär, H. Wernli, D. N. Bresch, D. Domeisen, N. Gruber, H. Joos, R. Knutti, U. Lohmann, T. Peter, S. I. Seneviratne, K. Steffen, 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.
Objective-get 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.
701-0071-AALMathematics III: Systems Analysis
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
4 credits9RR. Knutti, H. Wernli
AbstractThe objective of the systems analysis course is to deepen and illustrate the mathematical concepts on the basis of a series of very concrete examples. Topics covered include: linear box models with one or several variables, non-linear box models with one or several variables, time-discrete models, and continuous models in time and space.
ObjectiveLearning and applying of concepts (models) and quantitative methods to address concrete problems of environmental relevance. Understanding and applying the systems-analytic approach, i.e., Recognizing the core of the problem - simplification - quantitative approach - prediction.
Contenthttp://www.up.ethz.ch/education/systems-analysis.html
Lecture notesOverhead slides will be made available through Ilias.
LiteratureImboden, D.S. and S. Pfenninger (2013) Introduction to Systems Analysis: Mathematically Modeling Natural Systems. Berlin Heidelberg: Springer Verlag.

http://link.springer.com/book/10.1007%2F978-3-642-30639-6
701-1224-00LMesoscale Atmospheric Systems - Observation and Modelling
Does not take place this semester.
2 credits2VH. Wernli, U. Germann
AbstractMesoscale meteorology focusing on processes relevant for the evolution of precipitation systems. Discussion of empirical and mathematical-physical models for, e.g., fronts and convective storms. Consideration of oceanic evaporation, transport and the associated physics of stable water isotopes. Introduction to weather radar being the widespread instrument for observing mesoscale precipitation.
ObjectiveBasic concepts of observational and theoretical mesoscale meteorology, including precipitation measurements and radar. Knowledge about the interpretation of radar images. Understanding of processes leading to the formation of fronts and convective storms, and basic knowledge on ocean evaporation and the physics of stable water isotopes.
701-1266-00LWeather Discussion Restricted registration - show details
Limited number of participants.
Preference will be given to students on the masters level in Atmospheric and Climate Science and Environmental Sciences and doctoral students in Environmental Sciences.

Prerequisites: Basic knowledge in meteorology is required for this class, students are advised to take courses 702-0473-00L and/or 701-1221-00L before attending this course.
2.5 credits2PH. Wernli
AbstractThis three-parts course includes: (i) concise units to update the students knowledge about key aspects of mid-latitude weather systems and numerical weather prediction, (ii) a concrete application of this knowledge to predict and discuss the "weather of the week", and (iii) an in-depth case study analysis, performed in small groups, of a remarkable past weather event.
ObjectiveStudents will learn how to elaborate a weather prediction and to cope with uncertainties of weather (probabilistic) prediction models. They will also learn how to apply theoretical concepts from other lecture courses on atmospheric dynamics to perform a detailed case study of a specific weather event, using state-of-the-art observational and model-derived products and datasets.