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Description
The module will cover:
- The role of vegetation in the climate system
- Terrestrial vegetation dynamics modelling
- Remote sensing of vegetation
- Concepts and maths of data assimilation
- Using remote sensing data to constrain and test vegetation dynamics models
The Terrestrial Carbon: modelling and monitoring module aims:
- To outline the role of vegetation in the carbon cycle and the wider climate system
- To outline how the vegetation carbon cycle can be modelled and use the models in prediction
- To provide the linkages between the models and observations
- To enable the students to use remote sensing (and other) data to constrain, test and criticise the models - To expose the students to modern statistical methods in combining data and models
The module will be delivered through:
- Lectures (2 hour sessions providing concepts, contexts, and critiques)
- Group computer laboratory work in Jupyter notebooks (extended practical sessions progressing technical aspects of data and model implementation) followed by short student presentations
- Moodle resources (discussion and information, online notes and reading lists via )
- A student-led seminar on measurement methods
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 8th April 2024.
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