Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 19, issue 11
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.
https://doi.org/10.5194/amt-19-3761-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 11
Research article
 | 
11 Jun 2026
Research article |  | 11 Jun 2026

Accounting for spatiotemporally correlated errors in wind speed for remote surveys of methane emissions

Bradley M. Conrad and Matthew R. Johnson

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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.
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