Emissions Inventory Optimization using Sector-Resolved Dual-Comb Methane Observations

Griffin J. Mead; Daniel I. Herman; Daniel I. Herman; Fabrizio R. Giorgetta; Fabrizio R. Giorgetta; Nathan A. Malarich; Esther Baumann; Esther Baumann; Brian R. Washburn; Brian R. Washburn; Nathan R. Newbury; Ian Coddington; Kevin C. Cossel

doi:10.1364/ES.2023.EM1E.4

Optica Sensing Congress 2023 (AIS, FTS, HISE, Sensors, ES)
Technical Digest Series (Optica Publishing Group, 2023),
paper EM1E.4
•https://doi.org/10.1364/ES.2023.EM1E.4

Emissions Inventory Optimization using Sector-Resolved Dual-Comb Methane Observations

Griffin J. Mead, Daniel I. Herman, Fabrizio R. Giorgetta, Nathan A. Malarich, Esther Baumann, Brian R. Washburn, Nathan R. Newbury, Ian Coddington, and Kevin C. Cossel

Optics and Photonics for Sensing the Environment 2023

Munich Germany
30 July–3 August 2023
ISBN: 978-1-957171-24-1

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Applications from the Soil to the Atmosphere (EM1E)

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G. J. Mead, D. I. Herman, F. R. Giorgetta, N. A. Malarich, E. Baumann, B. R. Washburn, N. R. Newbury, I. Coddington, and K. C. Cossel, "Emissions Inventory Optimization using Sector-Resolved Dual-Comb Methane Observations," in Optica Sensing Congress 2023 (AIS, FTS, HISE, Sensors, ES), Technical Digest Series (Optica Publishing Group, 2023), paper EM1E.4.

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Abstract

Dynamic linear model analysis of dual-comb and CRDS methane, ethane, and ammonia measurements extracts sector-resolved methane mixing ratios. From these data, a Bayesian inversion retrieves sector specific energy and agriculture methane fluxes in Northern Colorado.

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