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Geogg124 TERRESTRIAL CARBON: MODELLING and MONITORING

Geogg124 TERRESTRIAL CARBON: MODELLING and MONITORING. P. Lewis Professor of Remote Sensing UCL Geography & NERC NCEO. Aims of course. The Terrestrial Carbon: modelling and monitoring module aims: To outline the role of vegetation in the carbon cycle and the wider climate system

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Geogg124 TERRESTRIAL CARBON: MODELLING and MONITORING

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  1. Geogg124TERRESTRIAL CARBON: MODELLING and MONITORING P. Lewis Professor of Remote Sensing UCL Geography & NERC NCEO

  2. Aims of course • 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 remote sensing observations (radiative transfer) • 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

  3. Content of the course • The module will cover: • The role of vegetation in the climate system • Terrestrial vegetation dynamics modelling • Remote sensing of vegetation • Radiation interactions with vegetation • Model inversion in remote sensing • Concepts and maths of data assimilation • Using remote sensing data to constrain and test vegetation dynamics models

  4. Assessment • 2 hour unseen exam, 100% of the assessment.

  5. Format • The module will be delivered through: • Lectures (2 hour sessions providing concepts, contexts, and critiques) • Computer laboratory work (extended practical sessions progressing technical aspects of model implementation and options hands-on experience of relevant software). Practicals will initially be based around specific vegetation models and EO radiative transfer schemes, but also include advanced concepts such as data assimilation. • Moodle resources (hosting reading lists, lecture handouts, datasets, guides and practical support materials)

  6. Learning outcomes • At the end of the module, students should: • Appreciate the role of vegetation in the carbon cycle and the climate system • Appreciate the role, strengths and weaknesses of models of global vegetation processes • Understand the factors affecting remote sensing measurements of vegetation (radiative transfer theory) • Understand how to use models and observations in combination to improve estimates of carbon fluxes and pools • Have an understanding of data assimilation

  7. Course web page • Moodle … but mainly • http://www2.geog.ucl.ac.uk/~plewis/geogg124

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