Journal article

Greenhouse gas network design using backward Lagrangian particle dispersion modelling - Part 2: Sensitivity analyses and South African test case

A Nickless, T Ziehn, PJ Rayner, RJ Scholes, F Engelbrecht

ATMOSPHERIC CHEMISTRY AND PHYSICS | COPERNICUS GESELLSCHAFT MBH | Published : 2015

Abstract

This is the second part of a two-part paper considering a measurement network design based on a stochastic Lagrangian particle dispersion model (LPDM) developed by Marek Uliasz, in this case for South Africa. A sensitivity analysis was performed for different specifications of the network design parameters which were applied to this South African test case. The LPDM, which can be used to derive the sensitivity matrix used in an atmospheric inversion, was run for each candidate station for the months of July (representative of the Southern Hemisphere winter) and January (summer). The network optimisation procedure was carried out under a standard set of conditions, similar to those applied to..

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Grants

Awarded by Australian Professorial Fellowship


Funding Acknowledgements

Peter Rayner is in receipt of an Australian Professorial Fellowship (DP1096309). This worked was supported by parliamentary grant funding from the Council of Scientific and Industrial Research. The authors would like to thank the helpful commentary from Thomas Lauvaux on the implementation and post-processing of the LPDM.