Dynamic quantification of methane emissions at facility scale using laser tomography: demonstration of a farm deployment

Scheel, Kenneth; Vänskä, Elias; Weidmann, Damien; Ursin, Aku

doi:10.5194/amt-19-2343-2026

Articles | Volume 19, issue 7

https://doi.org/10.5194/amt-19-2343-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-19-2343-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 7

Research article

|

10 Apr 2026

Research article |

| 10 Apr 2026

Dynamic quantification of methane emissions at facility scale using laser tomography: demonstration of a farm deployment

Kenneth Scheel, Elias Vänskä, Damien Weidmann, and Aku Ursin

Supplement

https://doi.org/10.5194/amt-19-2343-2026-supplement

Data sets

Data set for "Dynamic quantification of methane emissions at facility scale using laser tomography: demonstration of a farm deployment" Kenneth Scheel et al. https://doi.org/10.5286/edata/969

Model code and software

COMSOL model of manure management site for the manuscript "Dynamic quantification of methane emissions at facility scale using laser tomography: demonstration of a farm deployment" Kenneth Scheel https://doi.org/10.5281/zenodo.17857383

Video supplement

Supplemental videos of the paper "Dynamic quantification of methane emissions at facility scale using laser tomography: demonstration of a farm deployment" Kenneth Scheel https://doi.org/10.5446/s_1944

Short summary

We present a laser-based tomographic approach for dynamically quantifying and mapping greenhouse gas emissions at facility scale. It was applied during a campaign at a research farm in Eastern Finland, where methane emissions from typical manure-handling events were monitored. The results show that incorporating prior information on source locations improves the tolerance of the flux estimates with respect to environmental disturbances.