EGU23-7910, updated on 09 Apr 2024
https://doi.org/10.5194/egusphere-egu23-7910
EGU General Assembly 2023
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Current potential of CH4 emission estimates using TROPOMI in the Middle East

Mengyao Liu1, Ronald van der A1,2, Michiel van Weele1, Henk Eskes1, Pepijn Veefkind1,3, Xin Zhang1,2, Hanqing Kang2, and Jieying Ding1
Mengyao Liu et al.
  • 1Royal Netherlands Meteorological Institute, Satellite observation department, Utrecht, Netherlands (mengyao.liu@knmi.nl)
  • 2Nanjing University of Information Science & Technology (NUIST), Nanjing, China
  • 3Delft University of Technology, Delft, The Netherlands

Methane (CH4) is the second most important greenhouse gas after CO2. The TROPOspheric Monitoring Instrument (TROPOMI) on board the Sentinel 5 Precursor (S5-P) satellite measures CH4 at a high horizontal resolution of 7 × 7 km2, showing the capability on identifying and quantifying the sources at a local to regional scale. The Middle East is one of the strong CH4-emitting regions in the world. However, it is difficult to estimate the emissions here because of the uncertainties caused by bright surfaces and high aerosol loadings. Furthermore, several sources are located near the coast or in places with complex topography, where satellite observations are often of reduced quality. We use the product from the University of Bremen, WMF-DOAS XCH4 v1.8 product, which has good spatial coverage over the ocean and mountains, to estimate the emissions in the Middle East. The Aerosol Optical Depth (AOD) data from the MODIS/Aqua satellite instrument, which has a similar overpass time as TROPOMI, was adopted to filter potential unreliable XCH4 in the product.

For the inversion, we use the divergence method of Liu et al., (2021), which has been proven to be a fast and efficient way to estimate CH4 emissions from satellite observations. We have improved our method by comparing the fluxes in different directions for better background corrections over areas with complicated topographies. The temporal filter was established to further filter false emissions caused by surface albedos. We derived CH4 emissions on a grid of 0.2° from 2018 to 2021 and compared them to the latest bottom-up inventory EDGAR v7.0 in the same years. We found significantly lower emissions than EDGAR for the locations that are mainly determined by observed gas-flaring from satellites. Apart from sources of oil/gas production, the emissions from livestock in Saudi Arabia's irrigation zones, which have been reported neither in EDGAR nor other previous studies, are identified and quantified by using our divergence method. Another unexpected finding is that emissions from landfills are fairly stable and strong in some cities like Tehran.

How to cite: Liu, M., van der A, R., van Weele, M., Eskes, H., Veefkind, P., Zhang, X., Kang, H., and Ding, J.: Current potential of CH4 emission estimates using TROPOMI in the Middle East, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-7910, https://doi.org/10.5194/egusphere-egu23-7910, 2023.