Reto Knutti: Katalogdaten im Frühjahrssemester 2020

Name	Herr Prof. Dr. Reto Knutti
Lehrgebiet	Klimaphysik
Adresse	Institut für Atmosphäre und Klima ETH Zürich, CHN N 12.1 Universitätstrasse 16 8092 Zürich SWITZERLAND
Telefon	+41 44 632 35 40
E-Mail	reto.knutti@env.ethz.ch
URL	http://www.iac.ethz.ch/people/knuttir
Departement	Umweltsystemwissenschaften
Beziehung	Ordentlicher Professor

Nummer	Titel	ECTS	Umfang	Dozierende
651-4095-01L	Colloquium Atmosphere and Climate 1	1 KP	1K	C. 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
Kurzbeschreibung	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.
Lernziel	-get insight into ongoing research in different fields related to atmospheric and climate science
Inhalt	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.
Voraussetzungen / Besonderes	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.
651-4095-02L	Colloquium Atmosphere and Climate 2	1 KP	1K	C. 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
Kurzbeschreibung	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.
Lernziel	-get insight into ongoing research in different fields related to atmospheric and climate sciences
Voraussetzungen / Besonderes	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.
651-4095-03L	Colloquium Atmosphere and Climate 3	1 KP	1K	C. 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
Kurzbeschreibung	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.
Lernziel	-get insight into ongoing research in different fields related to atmospheric and climate sciences
Voraussetzungen / Besonderes	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.
701-0071-AAL	Mathematics III: Systems Analysis Belegung ist NUR erlaubt für MSc Studierende, die diese Lerneinheit als Auflagenfach verfügt haben. Alle anderen Studierenden (u.a. auch Mobilitätsstudierende, Doktorierende) können diese Lerneinheit NICHT belegen.	4 KP	9R	R. Knutti, H. Wernli
Kurzbeschreibung	In der Systemanalyse geht es darum, durch ausgesuchte praxisnahe Beispiele die in der Mathematik bereit gestellte Theorie zu vertiefen und zu veranschaulichen. Konkret behandelt werden: Dynamische lineare Boxmodelle mit einer und mehreren Variablen; Nichtlineare Boxmodelle mit einer oder mehreren Variablen; zeitdiskrete Modelle, und kontinuierliche Modelle in Raum und Zeit.
Lernziel	Erlernen und Anwendung von Konzepten (Modellen) und quantitativen Methoden zur Lösung von umweltrelevanten Problemen. Verstehen und Umsetzen des systemanalytischen Ansatzes, d.h. Erkennen des Kernes eines Problemes - Abstraktion - Quantitatives Erfassen - Vorhersage.
Inhalt	http://www.up.ethz.ch/education/systems-analysis.html
Skript	Folien werden über Ilias zur Verfügung gestellt.
Literatur	Imboden, D. and S. Koch (2003) Systemanalyse - Einführung in die mathematische Modellierung natürlicher Systeme. Berlin Heidelberg: Springer Verlag.
701-1211-01L	Master's Seminar: Atmosphere and Climate 1	3 KP	2S	H. Joos, R. Knutti, I. Medhaug, M. A. Wüest
Kurzbeschreibung	In this seminar, the process of writing a scientific proposal will be introduced. The essential elements of a proposal, including the peer review process, will be outlined and class exercises will train scientific writing skills. Knowledge exchange between class participants is promoted through the preparation of a master thesis proposal and evaluation of each other's work.
Lernziel	Scientific writing skills How to effectively write a scientific proposal.
Inhalt	In this seminar, the process of writing a scientific proposal will be introduced. The essential elements of a proposal, including the peer review process, will be outlined and class exercises will train scientific writing skills. Knowledge exchange between class participants is promoted through the preparation of a master thesis proposal and evaluation of each other's work.
Voraussetzungen / Besonderes	Please register for the seminar 1 in the semester BEFORE writing your MSc thesis. Attendance is mandatory.
701-1211-02L	Master's Seminar: Atmosphere and Climate 2	3 KP	2S	H. Joos, R. Knutti, I. Medhaug, M. A. Wüest
Kurzbeschreibung	This seminar brings the students working on their Master thesis together. Students present their Master thesis project including an overview of the outline and the first scientific results. In this seminar presentation skills and visualisation techniques are trained and methods of scientific project management are introduced and applied to the Master project.
Lernziel	- training of presentation and visualisation skills - gain basic knowledge in project management - train how to lead a discussion, chair a presentation
Inhalt	This seminar brings the students working on their MSc thesis together. Students present their MSc thesis project including an overview of the outline and the first scientific results. In this seminar presentation skills and visualisation techniques are trained and methods of scientific project management are introduced and applied to the MSc project.
Voraussetzungen / Besonderes	Please register for this seminar 2 in the semester in which you work on your MSc thesis. Attendance is mandatory
701-1252-00L	Climate Change Uncertainty and Risk: From Probabilistic Forecasts to Economics of Climate Adaptation	3 KP	2V + 1U	D. N. Bresch, R. Knutti
Kurzbeschreibung	The course introduces the concepts of predictability, probability, uncertainty and probabilistic risk modelling and their application to climate modeling and the economics of climate adaptation.
Lernziel	Students will acquire knowledge in uncertainty and risk quantification (probabilistic modelling) and an understanding of the economics of climate adaptation. They will become able to construct their own uncertainty and risk assessment models (in Python), hence basic understanding of scientific programming forms a prerequisite of the course.
Inhalt	The first part of the course covers methods to quantify uncertainty in detecting and attributing human influence on climate change and to generate probabilistic climate change projections on global to regional scales. Model evaluation, calibration and structural error are discussed. In the second part, quantification of risks associated with local climate impacts and the economics of different baskets of climate adaptation options are assessed – leading to informed decisions to optimally allocate resources. Such pre-emptive risk management allows evaluating a mix of prevention, preparation, response, recovery, and (financial) risk transfer actions, resulting in an optimal balance of public and private contributions to risk management, aiming at a more resilient society. The course provides an introduction to the following themes: 1) basics of probabilistic modelling and quantification of uncertainty from global climate change to local impacts of extreme events 2) methods to optimize and constrain model parameters using observations 3) risk management from identification (perception) and understanding (assessment, modelling) to actions (prevention, preparation, response, recovery, risk transfer) 4) basics of economic evaluation, economic decision making in the presence of climate risks and pre-emptive risk management to optimally allocate resources
Skript	Powerpoint slides will be made available.
Literatur	Many papers for in-depth study will be referred to during the lecture.
Voraussetzungen / Besonderes	Hands-on experience with probabilistic climate models and risk models will be acquired in the tutorials; hence good understanding of scientific programming forms a prerequisite of the course, in Python (teaching language, object oriented) or similar. Basic understanding of the climate system, e.g. as covered in the course 'Klimasysteme' is required. Examination: graded tutorials during the semester (benotete Semesterleistung)