Zonal variability of methane trends derived from satellite data

Hachmeister, Jonas; Schneising, Oliver; Buchwitz, Michael; Burrows, John P.; Notholt, Justus; Buschmann, Matthias

doi:https://doi.org/10.5194/acp-24-577-2024

Articles | Volume 24, issue 1

https://doi.org/10.5194/acp-24-577-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-24-577-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 24, issue 1

Research article

|

15 Jan 2024

Research article |

| 15 Jan 2024

Zonal variability of methane trends derived from satellite data

Jonas Hachmeister, Oliver Schneising, Michael Buchwitz, John P. Burrows, Justus Notholt, and Matthias Buschmann

Data sets

Atmospheric Methane Dry Air Mole Fractions from the NOAA ESRL Carbon Cycle Cooperative Global Air Sampling Network Dlugokencky et al. ftp://aftp.cmdl.noaa.gov/data/ trace_gases/ch4/flask/surface/

Methane data from 2002 to present derived from satellite observations Copernicus Climate Change Service, Climate Data Store https://doi.org/10.24381/CDS.B25419F8

Model code and software

Calculating global annual methane increases from satellite data using an ensemble dynamic linear model approach (1.0.0) Jonas Hachmeister https://doi.org/10.5281/zenodo.8178927

Short summary

We quantified changes in atmospheric methane concentrations using satellite data and a dynamic linear model approach. We calculated global annual methane increases for the years 2019–2022, which are in good agreement with other sources. For zonal methane growth rates, we identified strong inter-hemispheric differences in 2019 and 2022. For 2022, we could attribute decreases in the global growth rate to the Northern Hemisphere, possibly related to a reduction in anthropogenic emissions.