701-1338-00L  Biogeochemical Modelling of Sediments, Lakes and Oceans

SemesterFrühjahrssemester 2021
DozierendeM. Schmid, D. Bouffard, M. Vogt
Periodizitätjährlich wiederkehrende Veranstaltung
LehrspracheEnglisch
KommentarNumber of participants limited to 18.

The waiting list will be deleted on 05.03.2021.



Lehrveranstaltungen

NummerTitelUmfangDozierende
701-1338-00 GBiogeochemical Modelling of Sediments, Lakes and Oceans2 Std.
Fr10:15-12:00CHN D 44 »
M. Schmid, D. Bouffard, M. Vogt

Katalogdaten

KurzbeschreibungIn 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.
LernzielThe 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.
InhaltNumerical 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)
SkriptPresentation slides, exercises, and some background material will be provided.
LiteraturDM 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
Voraussetzungen / BesonderesThe 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.

Leistungskontrolle

Information zur Leistungskontrolle (gültig bis die Lerneinheit neu gelesen wird)
Leistungskontrolle als Semesterkurs
ECTS Kreditpunkte3 KP
PrüfendeM. Schmid, D. Bouffard, M. Vogt
Formbenotete Semesterleistung
PrüfungsspracheEnglisch
RepetitionRepetition nur nach erneuter Belegung der Lerneinheit möglich.
Zusatzinformation zum PrüfungsmodusExercises: Six exercises will support student learning and allow for an ongoing self-assessment in terms of the course's learning objectives. 5 out of 6 exercises need to be handed in during the semester as a compulsory prerequisite for participation in the case study.

Case study: During the second half of the semester, students will develop, implement, test, and interpret their own model for a selected biogeochemical case study in groups of two students. Students will present their project in written and oral form. A short presentation of the work will be given to a peer group for discussion and peer-to-peer evaluation. The students will then document their findings in a project report, which will include a description of their model and its scientific application, as well as a critical interpretation of the results and a discussion of the limitations of the model. The final course grade will be based on the written project report.

Lernmaterialien

Keine öffentlichen Lernmaterialien verfügbar.
Es werden nur die öffentlichen Lernmaterialien aufgeführt.

Gruppen

Keine Informationen zu Gruppen vorhanden.

Einschränkungen

PlätzeMaximal 18
WartelisteBis 05.03.2021

Angeboten in

StudiengangBereichTyp
Umweltnaturwissenschaften MasterMethodische Werkzeuge: ModellierungskurseWInformation