 |
| Titel |
Towards a measurement-based national verification system for GHG emissions: UK emission estimates of CO2 from the GAUGE experiment |
| VerfasserIn |
Siegfried Gonzi, Paul Palmer, Simon O'Doherty, Dickon Young, Kieran Stanley, Ann Stavert, Aoife Grant, Carole Helfter, Neil Mullinger, Eiko Nemitz, Grant Allen, Joseph Pitt, Michael Le Breton, Hartmut Bösch, Harjinder Sembhi, Hannah Sonderfeld, Robert Parker, Stephane Bauguitte |
| Konferenz |
EGU General Assembly 2016
|
| Medientyp |
Artikel
|
| Sprache |
en
|
| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 18 (2016) |
| Datensatznummer |
250133100
|
| Publikation (Nr.) |
 EGU/EGU2016-13678.pdf |
|
|
|
|
|
| Zusammenfassung |
| Robust quantification of emissions of greenhouse gases (GHG) is central to the success of
ongoing international efforts to slow current emissions and mitigate future climate change.
The Greenhouse gAs Uk and Global Emissions (GAUGE) project aims to quantify the
magnitude and uncertainty of country-scale emissions of carbon dioxide (CO2), methane
(CH4) and nitrous oxide (N2O) using concentration measurements from a network of tall
towers and mobile platforms (aircraft and ferry) distributed across the UK. The GAUGE
measurement programme includes: (a) GHG measurements on a regular ferry route down the
North Sea aimed at sampling UK outflow; (b) campaign deployment of the UK BAe-146
research aircraft to provide vertical profile measurements of GHG over and around the UK;
(c) a high-density GHG measurement network over East Anglia that is primarily
focused on the agricultural sector; and (d) regular measurements of CO2 and CH4
isotopologues used for GHG source attribution. We also use satellite observations
from the Japanese Greenhouse gases Observing SATellite (GOSAT) to provide
continental-scale constraints on GHG flux estimates. We present CO2 flux estimates for the
UK inferred from GAUGE measurements using a nested, high-resolution (25 km)
version of the GEOS-Chem global atmospheric chemistry and transport model and an
ensemble Kalman filter. We will present our current best estimate for CO2 fluxes and a
preliminary assessment of the efficacy of individual GAUGE data sources to spatially
resolve CO2 flux estimates over the UK. We will also discuss how flux estimates
inferred from the different models used within GAUGE can help to assess the role
of transport model error and to determine an ensemble CO2 flux estimate for the
UK. |
|
|
|
|
|
|