EGU2020-12584, updated on 12 Jun 2020
https://doi.org/10.5194/egusphere-egu2020-12584
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Verifying methane emission estimates from agricultural regions in Eastern Ontario using TROPOMI product

Jiangui Liu, Ray Desjardins, Andrew VanderZaag, Douglas Worthy, and Devon worth
Jiangui Liu et al.
  • Canada (jiangui.liu@canada.ca), Agriculture and Agri-Food Canada, Ottawa, Ontario, Canada

The two main sources of CH4 from the agricultural sector are enteric fermentation and manure management systems. Canada uses the IPCC Tier-II methodology to estimate CH4 for its national inventory report of GHG emissions to UNFCCC, which is based on a bottom-up approach using activity data and emission factors obtained through site level experimental measurements. However, because of the presence of wetlands in some agricultural regions, it has been challenging to obtain accurate CH4 emission estimates at a regional scale.

This study explores the usefulness of S5P methane product for verifying methane emission estimates in eastern Ontario agricultural land. We investigated the spatiotemporal variability of total column methane mixing ratio, as well as other detailed data layers in the TROPOMI product, such as averaging kernels and a prior profiles. The spatial temporal patterns of wetland methane emission derived from the global WetCHARTs dataset, and a prior knowledge of livestock distribution in the region, are used to interpret S5P methane product. Results showed that TROPOMI methane product provides great spatiotemporal coverage that can be used to verify CH4 emissions from agricultural landscape. This will be useful to reduce methane estimation uncertainties at the regional and national scales.

How to cite: Liu, J., Desjardins, R., VanderZaag, A., Worthy, D., and worth, D.: Verifying methane emission estimates from agricultural regions in Eastern Ontario using TROPOMI product, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12584, https://doi.org/10.5194/egusphere-egu2020-12584, 2020