Articles | Volume 15, issue 19
https://doi.org/10.5194/amt-15-5841-2022
https://doi.org/10.5194/amt-15-5841-2022
Research article
 | 
14 Oct 2022
Research article |  | 14 Oct 2022

Comparing airborne algorithms for greenhouse gas flux measurements over the Alberta oil sands

Broghan M. Erland, Cristen Adams, Andrea Darlington, Mackenzie L. Smith, Andrew K. Thorpe, Gregory R. Wentworth, Steve Conley, John Liggio, Shao-Meng Li, Charles E. Miller, and John A. Gamon

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Broghan Erland on behalf of the Authors (27 Jul 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (03 Aug 2022) by Huilin Chen
RR by Anonymous Referee #1 (11 Aug 2022)
RR by Anonymous Referee #2 (18 Aug 2022)
ED: Publish as is (29 Aug 2022) by Huilin Chen
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Short summary
Accurately estimating greenhouse gas (GHG) emissions is essential to reaching net-zero goals to combat the climate crisis. Airborne box-flights are ideal for assessing regional GHG emissions, as they can attain small error. We compare two box-flight algorithms and found they produce similar results, but daily variability must be considered when deriving emissions inventories. Increasing the consistency and agreement between airborne methods moves us closer to achieving more accurate estimates.