Airborne observations of greenhouse gas emissions from the European Arctic wetlands during the MAMM field project

This study presents airborne observations of higj-precision in-situ CO2, CH4 and other trace species made on board the FAAM BAe-146 research aircraft during the summer 2012 and 2013 MAMM (Methane and other greenhouse gases in the Arctic – measurements, process studies and modelling) field campaign,...

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Bibliographic Details
Main Authors: O'Shea, Sebastian, Allen, G., Gallagher, Martin, Illingworth, S. M., Muller, J. B. A., Jones, B., Percival, Carl, Bauguitte, S, Cain, M, Pyle3, J., Skiba, U., Drewer, J., George, Charles, Hayman, Garry, Nisbet, Euan, Lowry, Dave, Fisher, Rebecca, France, James
Format: Conference Object
Language:English
Published: 2014
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Online Access:https://research.manchester.ac.uk/en/publications/ab725500-c1bf-4745-ac90-06cb48dc650f
Description
Summary:This study presents airborne observations of higj-precision in-situ CO2, CH4 and other trace species made on board the FAAM BAe-146 research aircraft during the summer 2012 and 2013 MAMM (Methane and other greenhouse gases in the Arctic – measurements, process studies and modelling) field campaign, based out of Kiruna, Sweden. From these measurements, we derive surface fluxes from a broadly homogeneous area of Arctic wetland near the Sweden-Finland border by employing an advective box model during sampling along the prevailing wind vector. This region provides a unique and pristine natural laboratory within which to employ such an approach due to its well-characterised background, its well-mixed boundary layer and a lack of other local sources in the area For the 2012 flights, net fluxes for this region are found to be 1.3 ± 0.4 mg CH4 hr-1 m-2 and -380 ± 120 mg CO2 hr-1 m-2 . We compare the derived fluxes to those from inverse modelling techniques using the NAME Lagrangian particle dispersion model, as well as investigate the efficacy of up-scaling ground-based flux measurements by comparing with simultaneous eddy covariance and chamber flux measurements that were made within the aircraft’s sampling footprint. Finally, we will use this study to constrain uncertainties in the JULES (Joint UK Land Environment Simulator) land surface model.