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Reference: Ziehn, T, Nickless, A, Rayner, PJ et al., (2014). Greenhouse gas network design using backward Lagrangian particle dispersion modelling - Part 1: Methodology and Australian test case. Atmospheric Chemistry and Physics Discussions, 14 (6), 7557-7595.Citable link to this page:

 

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 and hourly concentration observations for the Australian continent. Meteorological driving fields are provided by the regional version of the Australian Community Climate and Earth System Simulator (ACCESS) at 12 km resolution at an hourly time scale. Prior uncertainties are derived on a weekly time scale for biosphere fluxes and fossil fuel emissions from high resolution BIOS2 model runs and from the Fossil Fuel Data Assimilation System (FFDAS), respectively. The influence from outside the modelled domain is investigated, but proves to be negligible for the network design. Existing ground based measurement stations in Australia are assessed in terms of their ability to constrain local flux estimates from the land. We find that the six stations that are currently operational are already able to reduce the uncertainties on surface flux estimates by about 30%. A candidate list of 59 stations is generated based on logistic constraints and an incremental optimization scheme is used to extend the network of existing stations. In order to achieve an uncertainty reduction of about 50% we need to double the number of measurement stations in Australia. Assuming equal data uncertainties for all sites, new stations would be mainly located in the northern and eastern part of the continent.

Peer Review status:Peer reviewedPublication status:PublishedVersion:Publisher's versionNotes:Copyright © Author(s) 2014. This discussion paper is distributedunder the Creative Commons Attribution 3.0 License.

Bibliographic Details

Publisher: European Geosciences Union

Publisher Website: http://www.egu.eu/

Publisher: Copernicus Publications

Publisher Website: http://publications.copernicus.org/

Host: Atmospheric Chemistry and Physics Discussionssee more from them

Publication Website: http://www.atmospheric-chemistry-and-physics.net/

Issue Date: 2014-3-19

pages:7557-7595Identifiers

Urn: uuid:d8b610cc-536d-4fd2-8bd4-fa1ec048a16d

Source identifier: 507354

Eissn: 1680-7375

Doi: https://doi.org/10.5194/acpd-14-7557-2014

Issn: 1680-7367 Item Description

Type: Working paper;

Version: Publisher's version Tiny URL: pubs:507354

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Autor: Ziehn, T - - - Nickless, A - institutionUniversity of Oxford Oxford, MSD, Primary Care Health Sciences - - - Rayner, PJ - - - Law

Fuente: https://ora.ox.ac.uk/objects/uuid:d8b610cc-536d-4fd2-8bd4-fa1ec048a16d



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