Articles | Volume 14, issue 2
https://doi.org/10.5194/amt-14-1267-2021
https://doi.org/10.5194/amt-14-1267-2021
Research article
 | 
18 Feb 2021
Research article |  | 18 Feb 2021

Detection and quantification of CH4 plumes using the WFM-DOAS retrieval on AVIRIS-NG hyperspectral data

Jakob Borchardt, Konstantin Gerilowski, Sven Krautwurst, Heinrich Bovensmann, Andrew K. Thorpe, David R. Thompson, Christian Frankenberg, Charles E. Miller, Riley M. Duren, and John Philip Burrows

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Jakob Borchardt on behalf of the Authors (24 Dec 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (03 Jan 2021) by Ilse Aben
RR by Luis Guanter (07 Jan 2021)
ED: Publish as is (08 Jan 2021) by Ilse Aben
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Short summary
The AVIRIS-NG hyperspectral imager has been used successfully to identify and quantify anthropogenic methane sources utilizing different retrieval and inversion methods. Here, we examine the adaption and application of the WFM-DOAS algorithm to AVIRIS-NG measurements to retrieve local methane column enhancements, compare the results with other retrievals, and quantify the uncertainties resulting from the retrieval method. Additionally, we estimate emissions from five detected methane plumes.