|From||"Roger Brugge" <email@example.com>|
|Date||Mon, 10 Jun 2013 16:43:58 +0000|
Understanding the information content in observations of forest carbon stocks and fluxes for data assimilation and ecological modelling Understanding the carbon balance of forests and how it will respond to climate change is of critical importance: forests act as a sink for anthropogenic emissions of carbon (thus helping to mitigate human-induced climate change), are an important economic resource, harbour a significant proportion of the world's biodiversity, and provide numerous ecosystem services. This project, in conjunction with the CASE partner Forest Research, seeks to improve estimates of carbon budgets by developing better understanding of the relative levels of information in the observations used to build and constrain models of forest growth. Large amounts of relevant data, including micro-meteorological measurements of trace gas fluxes, are now acquired on a routine basis from forests all around the world. For any given application however it is not generally known what the optimal set of observations is (i.e. the actual variables measured and the frequency in space and time with which this should be done). This project will design a mathematical framework to address this question using techniques that have previous been developed for similar purposes in numerical weather prediction. The science focus will be the carbon balance of the Forest Research site at Alice Holt and the student will design and undertake their own field work programme as part of the PhD. This PhD project would suit a student having strong mathematical skills with a desire to apply them to environmental problems. Candidates from mathematics, physical, biological and computer sciences are particularly encouraged to apply. Strong computing skills would be an advantage. Closing date for applications is 21st of June. We anticipate interviewing candidates early in July. For more information see: http://www.met.reading.ac.uk/pg-research/pgropportunities.html Or contact Dr Tristan Quaife: firstname.lastname@example.org<mailto:email@example.com>
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