Autumn Semester 2020 takes place in a mixed form of online and classroom teaching.
Please read the published information on the individual courses carefully.

David N. Bresch: Catalogue data in Spring Semester 2016

Name Prof. Dr. David N. Bresch
FieldWeather and Climate Risks
Address
Institut für Umweltentscheidungen
ETH Zürich, CHN K 73.2
Universitätstrasse 16
8092 Zürich
SWITZERLAND
Telephone+41 44 632 77 87
E-maildbresch@ethz.ch
URLhttps://www.usys.ethz.ch/en/people/profile.david-bresch.html
DepartmentEnvironmental Systems Science
RelationshipFull Professor

NumberTitleECTSHoursLecturers
701-1252-00LClimate Change Uncertainty and Risk: From Probabilistic Forecasts to Economics of Climate Adaptation3 credits2V + 1UR. Knutti, D. N. Bresch
AbstractThe course introduces the concepts of predictability, probability, uncertainty and probabilistic risk modelling and their application to climate modeling and the economics of climate adaptation.
ObjectiveStudents 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 (MATLAB), hence basic understanding of scientific programming forms a prerequisite of the course.
ContentThe 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
Lecture notesPowerpoint slides will be made available
Literature-
Prerequisites / NoticeHands-on experience with probabilistic climate models and risk models will be acquired in the tutorials; hence basic understanding of scientific programming forms a prerequisite of the course. Basic understanding of the climate system, e.g. as covered in the course 'Klimasysteme' is required.

Examination: graded tutorials during the semester (benotete Semesterleistung)