Day 4

Detailed paper information

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Paper title Assessing the importance of super-emitters versus diffuse oil/gas methane emissions in Algeria
Authors
  1. Stijn Naus SRON Netherlands Institute for Space Research, Leiden, The Netherlands Speaker
  2. joannes maasakkers SRON Netherlands Institute for Space Research
  3. Brian Nathan
  4. sudanshu pandey SRON Netherlands Institute for Space Research, Leiden, The Netherlands
  5. Ritesh Gautam
  6. Mark Omara
  7. Daniel Zavala-Araiza Environmental Defense Fund
  8. Youssef Farah SRON Netherlands Institute for Space Research, Leiden, The Netherlands
  9. Alba Lorente SRON Netherlands Institute for Space Research
  10. Tobias Borsdorff SRON NWO-I
  11. Ilse Aben SRON Netherlands Institute for Space Research
Form of presentation Poster
Topics
  • A1. Atmosphere
    • A1.04 Greenhouse Gases
Abstract text An increasing fleet of space-based, Earth-observing instruments provides coverage of the distribution of the greenhouse gas methane across a range of spatio-temporal scales. In this work, we focus on the synergy between TROPOMI and Sentinel-2 over active oil and gas production regions in Algeria. TROPOMI provides daily global coverage of methane at 7×5.5 km2 resolution, and one of its primary applications is to constrain the global methane distribution. Sentinel-2 provides global coverage every few days at 30m resolution, but with only a few broad spectral bands it is only able to inform on the largest methane point source signals.
In the TROPOMI data over eastern Algeria, large methane plume signals have been detected, most likely coming from large point sources. It is difficult to trace the source location of the plumes based only on TROPOMI, due to its comparatively coarse resolution. Instead, we employ the high-resolution Sentinel-2 data to trace the source locations of these super-emitters to a facility-level. The point source locations are then combined with a generic bottom-up emission inventory, and used as input for a TROPOMI inversion with the Weather Research and Forecasting (WRF) Model to estimate 2020 emissions from Algerian oil and gas fields. Thus, the Sentinel-2 data allows us to track down point source locations, while TROPOMI data provides the best integrated emission quantification of the entire region. In this novel approach, we show that we can optimize both point sources and more diffuse emissions in one systematic framework. In this way, we generate a full emission characterization of the region, in which we estimate the individual contribution of emissions from super-emitters and from diffuse emissions to the methane emission total. This unique information is highly valuable for developing efficient mitigation measures that target oil and gas methane emissions, and by extent their impact on the global climate.