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.

Meike Vogt: Catalogue data in Spring Semester 2020

Name Dr. Meike Vogt
I. f. Biogeochemie/Schadstoffdyn.
ETH Zürich, CHN E 23.2
Universitätstrasse 16
8092 Zürich
Telephone+41 44 632 84 99
DepartmentEnvironmental Systems Science

701-1317-00LGlobal Biogeochemical Cycles and Climate3 credits3GN. Gruber, M. Vogt
AbstractThe human-induced emissions of carbon dioxide has led to atmospheric CO2 concentrations that Earth likely has no’t seen for the last 30 million years. This course aims to investigate and understand the impact of humans on Earth's biogeochemical cycles with a focus on the carbon cycle and its interaction with the physical climate system for the past, the present, and the future.
ObjectiveThis course aims to investigate the nature of the interaction between the carbon cycles on land and in the ocean with climate and how this interaction has evolved over time and will change in the future. Students are expected to participate actively in the course, which includes the critical reading of the pertinent literature.
ContentTopics discussed include: The anthropogenic perturbation of the global carbon cycle and climate. Response of land and oceanic ecosystems to past and future global changes; Interactions between biogeochemical cycles on land and in the ocean; Biogeochemical processes controlling carbon dioxide and oxygen in the ocean and atmosphere on time-scales from a few years to a few hundred thousand years.
Lecture notesSarmiento & Gruber (2006), Ocean Biogeochemical Dynamics, Princeton University Press.
Additional handouts will be provided as needed. see website:
LiteratureSarmiento & Gruber (2006), Ocean Biogeochemical Dynamics, Princeton University Press, 526pp.

Original literature.
701-1338-00LBiogeochemical Modelling of Sediments, Lakes and Oceans Restricted registration - show details
Number of participants limited to 18.

The waiting list will be deleted on 28.02.20.
3 credits2GM. Schmid, D. Bouffard, M. Vogt
AbstractIn this course, the students acquire skills to implement, evaluate and analyse the results of basic numerical models for the simulation of biogeochemical processes in aquatic systems using Python, to interpret and document model results, and to critically discuss model limitations. The focus of the course is on practical applications.
ObjectiveThe aim of this course is to encourage and enable students to develop, test and apply basic numerical models for a range of biogeochemical applications, and to interpret model results.
ContentNumerical models are useful tools for the evaluation of processes in complex systems, the interpretion of observational data, and the projection of the response of a system beyond the range of observations. In this course, the students acquire skills to implement and test basic numerical models for the simulation of biogeochemical processes in aquatic systems using Python, to interpret and document model results in written and oral form, and to critically discuss model limitations.
The course includes the following topics:
- Formulation of transport and reaction equations describing aquatic systems
- Numerical recipes (discretization in time and space, finite differences, finite volumes, initial and boundary conditions)
- Implementation of simple models in Python (box models, 1D-models, with applications from sediments, lakes, and oceans)
- Techniques for applied modelling & model testing (sensitivity analysis, parameter estimation)
- Model evaluation against observational data (model evaluation metrics in space and time)
- Interpretation and documentation of model results
- Model applications in current aquatic research (recent examples from the scientific literature)
Lecture notesPresentation slides, exercises, and some background material will be provided.
LiteratureDM Glover, WJ Jenkins, SC Doney, 2011. Modeling Methods for Marine Science, Cambridge University Press
K Soetaert, PMJ Herman, 2009. A Practical Guide to Ecological Modelling, Springer
E Holzbecher, 2012, Environmental Modeling Using MATLAB, 2nd edition, Springer
Prerequisites / NoticeThe students are expected to work with their own laptop where Python should be installed prior to the start of the class. We recommend also installing a development environment such as the Educational Edition of PyCharm or the Anaconda distribution with Spyder.

The following course or equivalent knowledge is required:
Mathematik III: Systemanalyse (701-0071-00L, autumn semester, German)

Basic programming knowledge in Python is required, e.g. the following course:
Anwendungsnahes Programmieren mit Python (252-0840-02L, spring semester, German)

The following course is useful but not required:
Modelling Aquatic Ecosystems (701-0426-00L, spring semester, English)

The number of participants is limited to 18. Selection of the students: order of registration.