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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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AMT | Articles | Volume 13, issue 3
Atmos. Meas. Tech., 13, 1467–1484, 2020
https://doi.org/10.5194/amt-13-1467-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 13, 1467–1484, 2020
https://doi.org/10.5194/amt-13-1467-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 30 Mar 2020

Research article | 30 Mar 2020

Testing the near-field Gaussian plume inversion flux quantification technique using unmanned aerial vehicle sampling

Adil Shah et al.

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Adil Shah on behalf of the Authors (06 Dec 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (02 Jan 2020) by Thomas Röckmann
RR by Anonymous Referee #3 (15 Jan 2020)
RR by Anonymous Referee #1 (19 Jan 2020)
ED: Publish subject to minor revisions (review by editor) (28 Jan 2020) by Thomas Röckmann
AR by Adil Shah on behalf of the Authors (04 Feb 2020)  Author's response    Manuscript
ED: Publish subject to technical corrections (15 Feb 2020) by Thomas Röckmann
AR by Adil Shah on behalf of the Authors (15 Feb 2020)  Author's response    Manuscript
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Short summary
Methane is a potent greenhouse gas, with large flux uncertainties from facility-scale sources, such as natural gas extraction infrastructure. A recently developed flux quantification method was successfully tested by flying an unmanned aerial vehicle (UAV) downwind of 22 controlled atmospheric methane releases. The UAVs were used to derive high-precision atmospheric methane measurements. The UAV methodology was successful in both detecting the release and providing a rough flux estimate.
Methane is a potent greenhouse gas, with large flux uncertainties from facility-scale sources,...
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