Aircraft Remote Sensing Measurements of Arctic Methane

The importance of aircraft in-situ measurements of Arctic methane (CH4) concentrations is well understood, providing not only spatially resolved and accurate concentration data, but also essential validation for ground-based and satellite remote sensing instrumentation. The role of airborne remote s...

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Bibliographic Details
Main Authors: Illingworth, SM, Allen, G, Newman, S, Vance, A, Harlow, C., Gallagher, M., O'Shea, S, Bauguitte, S.
Format: Conference Object
Language:English
Published: 2013
Subjects:
Online Access:https://research.manchester.ac.uk/en/publications/dbf07782-ae01-4387-8ece-f7158ba92ff5
Description
Summary:The importance of aircraft in-situ measurements of Arctic methane (CH4) concentrations is well understood, providing not only spatially resolved and accurate concentration data, but also essential validation for ground-based and satellite remote sensing instrumentation. The role of airborne remote sensing instruments is equally important in building up an accurate quantitative and process-driven understanding of atmospheric CH4, where the added benefit of a larger spatial coverage and potential for near surface measurements resultis in a better characterization of potential localized emission sources.As part of the Methane and other greenhouse gases in the Arctic – Measurements, process studies and Modelling (MAMM) campaign, the Manchester Airborne Retrieval Scheme (MARS) has been developed to produce well-characterized retrievals of atmospheric CH4 from spectra measured by the UK Met Office Airborne Research Interferometer Evaluation System (ARIES), a Fourier transform spectrometer that is mounted on the NERC Facility for Airborne Atmospheric Measurements (FAAM) aircraft.Data retrieved from ARIES spectra for methane (and other greenhouse gas) concentration profiles measured during MAMM will be presented, highlighting the utility of airborne nadir FTIR sensing for near-surface and partial-column mapping over local emission sources and in climatological sampling over wide areas. We shall demonstrate the validation of ARIES profile results against in-situ measurements, with error characterization suggesting that the retrieval bias is of the order of 1-2%. Because of the relative sensitivity to the surface when flying at low altitudes, these retrievals can be used to better characterize both the natural and industrial sources of Arctic CH4 and long-range inputs to the area as well as being used to detect potential seabed Ch4 seepage events.