Transport modelling and inversions for the interpretation of greenhouse gas measurements

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dc.contributor.authorLaw, RMen_AU
dc.contributor.authorLoh, ZMen_AU
dc.contributor.authorZiehn, Ten_AU
dc.contributor.authorHaynes, KDen_AU
dc.contributor.authorKrummel, PBen_AU
dc.contributor.authorSteele, LPen_AU
dc.contributor.authorChambers, SDen_AU
dc.contributor.authorWilliams, AGen_AU
dc.date.accessioned2017-02-21T04:54:59Zen_AU
dc.date.available2017-02-21T04:54:59Zen_AU
dc.date.issued2014-11-12en_AU
dc.date.statistics2017-02-21en_AU
dc.description.abstractThe interpretation of greenhouse gas measurements can be aided by forward transport modelling while greenhouse gas fluxes can be estimated using atmospheric inversions. Here we (a) provide an update on a study of methane model simulations at Cape Grim and their use for determining methane fluxes from SE Australia and (b) show results from some recent CO2 inversions. Observed and model simulated non-baseline methane concentrations at Cape Grim have been compared (Loh et al., 2014). Two atmospheric models (CCAM and ACCESS) and six different methane emission scenarios are used. To minimise the influence of transport model errors on the analysis, deviations of Cape Grim methane concentration above baseline have been compared to coincident radon measurements. This methane to radon ratio shows a clear seasonal signal implying seasonal variations in methane emissions from SE Australia relative to a more temporally uniform radon flux. The ability of the model simulations to match the observed seasonality is dependent on the choice of methane emission scenario but all scenarios underestimate the observed methane to radon ratio in spring. We find that the most likely explanation for the discrepancy is wetland emissions that are too small in some emission scenarios or at the wrong time of year in other scenarios. CO2 inversions have been run recently for two purposes. The first is an international comparison of greenhouse gas inversions focussed on South, East and South East Asia. We have submitted a CCAM inversion for 1993-2012 using a fixed year of winds and expect to submit a second inversion with interannually varying winds. The second purpose is to use a CO2 inversion to estimate the magnitude of regional fluxes that are required to fit the larger difference in annual mean CO2 concentration between Mauna Loa and Cape Grim over recent years.en_AU
dc.identifier.citationLaw, R. M., Loh, Z. M., Ziehn, T., Haynes, K. D., Krummel, P. B., Steele, L. P., Fraser, P. J., Chambers, S. D., & Williams, A. G. (2014). Transport modelling and inversions for interpretation of greenhouse gas measurements. Paper presented at Atmospheric Composition and Chemistry Observations and Modelling Conference incorporating the Cape Grim Annual Science Meeting, 12-13 November 2014, Aspendale, Victoria.en_AU
dc.identifier.conferenceenddate12 November 2014en_AU
dc.identifier.conferencenameAtmospheric Composition and Chemistry Observations and Modelling Conference incorporating the Cape Grim Annual Science Meetingen_AU
dc.identifier.conferenceplaceAspendale, Victoriaen_AU
dc.identifier.conferencestartdate3 November 2014en_AU
dc.identifier.govdoc7914en_AU
dc.identifier.otherEP149458en_AU
dc.identifier.urihttp://apo.ansto.gov.au/dspace/handle/10238/8326en_AU
dc.language.isoenen_AU
dc.publisherBureau of Meteorology and CSIRO Oceans and Atmosphere Flagshipen_AU
dc.subjectGreenhouse gasesen_AU
dc.subjectAtmospheresen_AU
dc.subjectAustraliaen_AU
dc.subjectMethaneen_AU
dc.subjectRadonen_AU
dc.subjectEmissionen_AU
dc.titleTransport modelling and inversions for the interpretation of greenhouse gas measurementsen_AU
dc.typeConference Paperen_AU
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