Show simple item record

dc.contributor.authorWu, Linen_US
dc.contributor.authorBocquet, Marcen_US
dc.contributor.authorLauvaux, Thomasen_US
dc.contributor.authorChevallier, Frédéricen_US
dc.contributor.authorRAYNER, PETERen_US
dc.contributor.authorDavis, Kennethen_US
dc.date.accessioned2014-05-22T07:00:02Z
dc.date.available2014-05-22T07:00:02Z
dc.date.issued2011en_US
dc.identifier.citationWu, L., Bocquet, M., Lauvaux, T., Chevallier, F., Rayner, P. & Davis, K. (2011). Optimal representation of source-sink fluxes for mesoscale carbon dioxide inversion with synthetic data. Journal of Geophysical Research, 116, doi:10.1029/2011JD016198.en_US
dc.identifier.issn2156–2202en_US
dc.identifier.urihttp://hdl.handle.net/11343/32764
dc.description© 2011 American Geophysical Unionen_US
dc.description.abstractThe inversion of CO2 surface fluxes from atmospheric concentration measurements involves discretizing the flux domain in time and space. The resolution choice is usually guided by technical considerations despite its impact on the solution to the inversion problem. In our previous studies, a Bayesian formalism has recently been introduced to describe the discretization of the parameter space over a large dictionary of adaptive multiscale grids. In this paper, we exploit this new framework to construct optimal space-time representations of carbon fluxes for mesoscale inversions. Inversions are performed using synthetic continuous hourly CO2 concentration data in the context of the Ring 2 experiment in support of the North American Carbon Program Mid Continent Intensive (MCI). Compared with the regular grid at finest scale, optimal representations can have similar inversion performance with far fewer grid cells. These optimal representations are obtained by maximizing the number of degrees of freedom for the signal (DFS) that measures the information gain from observations to resolve the unknown fluxes. Consequently information from observations can be better propagated within the domain through these optimal representations. For the Ring 2 network of eight towers, in most cases, the DFS value is relatively small compared to the number of observations d (DFS/d < 20%). In this multiscale setting, scale-dependent aggregation errors are identified and explicitly formulated for more reliable inversions. It is recommended that the aggregation errors should be taken into account, especially when the correlations in the errors of a priori fluxes are physically unrealistic. The optimal multiscale grids allow to adaptively mitigate the aggregation errors.en_US
dc.languageengen_US
dc.publisherAmerican Geophysical Unionen_US
dc.subjectaggregation erroren_US
dc.subjectdegrees of freedom for the signalen_US
dc.subjectmesoscale CO2 inversionen_US
dc.subjectoptimal multiscale representationen_US
dc.titleOptimal representation of source-sink fluxes for mesoscale carbon dioxide inversion with synthetic dataen_US
dc.typeJournal Articleen_US
melbourne.peerreviewPeer Revieweden_US
melbourne.affiliationThe University of Melbourneen_US
melbourne.affiliation.departmentScience - Earth Sciencesen_US
melbourne.publication.statusPublisheden_US
melbourne.source.titleJournal of Geophysical Researchen_US
melbourne.source.volume116en_US
melbourne.elementsidNA
melbourne.contributor.authorWu, Lin
melbourne.contributor.authorRayner, Peter
melbourne.accessrightsOpen Access


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record