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Greenhouse gas network design using backward Lagrangian particle dispersion modelling - Part 1: Methodology and Australian test case

Abstract:

This paper describes the generation of optimal atmospheric measurement networks for determining carbon dioxide fluxes over Australia using inverse methods. A Lagrangian particle dispersion model is used in reverse mode together with a Bayesian inverse modelling framework to calculate the relationship between weekly surface fluxes, comprising contributions from the biosphere and fossil fuel combustion, and hourly concentration observations for the Australian continent. Meteorological driving f...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.5194/acp-14-9363-2014

Authors


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Institution:
University of Oxford
Department:
Oxford, MSD, Primary Care Health Sciences
Rayner, PJ More by this author
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Publisher:
European Geosciences Union Publisher's website
Journal:
Atmospheric Chemistry and Physics Journal website
Volume:
14
Issue:
17
Pages:
9363-9378
Publication date:
2014
DOI:
EISSN:
1680-7324
ISSN:
1680-7316
URN:
uuid:336e157d-7731-4d57-93c5-05778eaaeca1
Source identifiers:
507353
Local pid:
pubs:507353
Language:
English

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