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Lehrende: Prof. Dr. Christian Günter Beer
Veranstaltungsart:
Vorlesung + Übung
Anzeige im Stundenplan:
Semesterwochenstunden:
2
Credits:
3,0
Unterrichtssprache:
Englisch
Min. | Max. Teilnehmerzahl:
8 | 20
Weitere Informationen:
Die Übung wird von Prof. Dr. Christian Beer, Institut für Bodenkunde durchgeführt und gehört zur Vertiefungsrichtung Boden im Geowissenschaftlichen Master. Sie ist auch für den Klimamaster wählbar.
Kommentare/ Inhalte:
Many questions in Earth and environmental sciences today are about ecosystem dynamics at a large spatial scale or in the past or into the future. To address such questions, models need to be used to interpolate/extrapolate and interpret observations, or to perform theoretical experiments that are hardly possible in the field or laboratory. This course is an introduction into modelling concepts and individual steps in practice. Rather than providing a comprehensive overview of all kind of terrestrial ecosystem processes, in this course there will be a focus on modelling concepts using a few exemplary biogeochemical processes, such as heterotrophic respiration or gross primary production.
Lernziel:
At the conclusion of the course students will be able to:
Describe contemporary questions in Earth sciences for which modelling tools are a key to solutions
Understand different mathematical modelling concepts, and their limitations, and related types of information and data that scientists use to address questions in Earth sciences.
Apply dynamic or statistical modelling to address a specific question in Earth sciences.
Visualize and characterize observations and model results.
Evaluate and discuss model results based on observations and uncertainty estimates.
Vorgehen:
The course will start with lectures about modelling concepts that are used to address different kind of questions in Earth sciences, with a focus on terrestrial ecosystem processes. Several concepts and applications for different kind of questions will be introduced and discussed including differential equations and their solution or statistical modelling. Then, students will have the opportunity to practise individual steps in modelling, such as parameter estimation, evaluation, application and uncertainty assessment in a specific case study using MATLAB.
Literatur:
The following books complement the lectures and course material provided:
For an overview about modelling ecosystem processes:
Gordon B. Bonan, Climate change and terrestrial ecosystem modeling, 2019. Online available at campus library
For an overview about model evaluation:
Chapter 3 in Jo Smith & Pete Smith, Environmental Modelling An Introduction, Oxford University Press, Oxford, United Kingdom, 2007, 192pp., ISBN 9780199272068. Copies will be provided.
zusätzliche Hinweise zu Prüfungen
At the end of the course, a certificate will be provided on the basis of a written report about the practical case study in MATLAB. This report can be written in English or German.
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