June 2013
Message 26

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[Met-jobs] Land Surface Data Assimilation PhD opportunity

From "Roger Brugge" <>
To "" <>
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:

Or contact Dr Tristan Quaife:<>

Attachment: forest_data_assimilation_phd.pdf
Description: forest_data_assimilation_phd.pdf

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