Articles | Volume 19, issue 11
https://doi.org/10.5194/amt-19-3761-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-19-3761-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Jun 2026
Research article |
| 11 Jun 2026
| 11 Jun 2026
Accounting for spatiotemporally correlated errors in wind speed for remote surveys of methane emissions
Bradley M. Conrad
Energy and Emissions Research Laboratory, Department of Mechanical and Aerospace Engineering, Carleton University, Ottawa, ON K1S 5B6, Canada
Matthew R. Johnson
CORRESPONDING AUTHOR
Energy and Emissions Research Laboratory, Department of Mechanical and Aerospace Engineering, Carleton University, Ottawa, ON K1S 5B6, Canada
Related authors
Daniel Cusworth, Daniel Varon, Dylan Jervis, Jason McKeever, Alexander Turner, Christian Frankenberg, John Worden, Andrew Thorpe, Jay Fahlen, Sudhanshu Pandey, Joannes Maasakkers, Ilse Aben, Annmarie Eldering, Riley Duren, Bradley Conrad, Tia Scarpelli, Daniel Bon, Mackenzie Huffman, Itziar Irakulis-Loitxate, Luis Guanter, Jason Schroeder, Benjamin Hmiel, Evan Sherwin, Sean Crowell, Eric Kort, Adam Brandt, Frances Reuland, Maryann Sargent, James East, and Daniel Jacob
EGUsphere, https://doi.org/10.5194/egusphere-2026-6060, https://doi.org/10.5194/egusphere-2026-6060, 2026
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Short summary
In this review, we summarize the current and anticipated state of satellite remote sensing for point sources. In particular, we are provide and update to the fleet of point source imaging satellites, summarize the nuance around data availability and revisit, detail data processing pipelines and validation procedures, describe how to benchmark detection performance, and finally, describe demonstrated use-cases for satellite point source observations.
Daniel Cusworth, Daniel Varon, Dylan Jervis, Jason McKeever, Alexander Turner, Christian Frankenberg, John Worden, Andrew Thorpe, Jay Fahlen, Sudhanshu Pandey, Joannes Maasakkers, Ilse Aben, Annmarie Eldering, Riley Duren, Bradley Conrad, Tia Scarpelli, Daniel Bon, Mackenzie Huffman, Itziar Irakulis-Loitxate, Luis Guanter, Jason Schroeder, Benjamin Hmiel, Evan Sherwin, Sean Crowell, Eric Kort, Adam Brandt, Frances Reuland, Maryann Sargent, James East, and Daniel Jacob
EGUsphere, https://doi.org/10.5194/egusphere-2026-6060, https://doi.org/10.5194/egusphere-2026-6060, 2026
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Short summary
In this review, we summarize the current and anticipated state of satellite remote sensing for point sources. In particular, we are provide and update to the fleet of point source imaging satellites, summarize the nuance around data availability and revisit, detail data processing pipelines and validation procedures, describe how to benchmark detection performance, and finally, describe demonstrated use-cases for satellite point source observations.
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Short summary
This paper demonstrates a method for quantifying wind speed uncertainties in remote emissions surveys that specifically accounts for how wind errors are correlated across time and space. Using independent weather station data, models are presented for oil and gas regions in Canada, the U.S., and Colombia, along with a Python tool to enable broader use. This work enables robust accounting of uncertainties in emissions inventories and provides guidance to minimize uncertainties in remote surveys.
This paper demonstrates a method for quantifying wind speed uncertainties in remote emissions...
