Published June 28, 2023 | Version 1.0
Dataset Open

Dataset: all TROPOMI detected plumes for 2021. [Schuit et al. 2023: Automated detection and monitoring of methane super-emitters using satellite data]

Authors/Creators

  • 1. SRON Netherlands Institute for Space Research, Leiden, The Netherlands & GHGSat Inc, Montréal, Canada
  • 2. SRON Netherlands Institute for Space Research, Leiden, The Netherlands
  • 3. SRON Netherlands Institute for Space Research, Leiden, The Netherlands & Now at: Department of Meteorology and Air Quality, Wageningen University, Wageningen, The Netherlands
  • 4. SRON Netherlands Institute for Space Research, Leiden, The Netherlands & Now at: Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, US
  • 5. SRON Netherlands Institute for Space Research, Leiden, The Netherlands & Department of Earth Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
  • 6. GHGSat Inc, Montréal, Canada & Harvard University, Cambridge, MA, US
  • 7. GHGSat Inc, Montréal, Canada
  • 8. Research Institute of Water and Environmental Engineering (IIAMA), Universitat Politècnica de València (UPV), Valencia, Spain & International Methane Emission Observatory, United Nations Environment Program, Paris, France
  • 9. Research Institute of Water and Environmental Engineering (IIAMA), Universitat Politècnica de València (UPV), Valencia, Spain
  • 10. Research Institute of Water and Environmental Engineering (IIAMA), Universitat Politècnica de València (UPV), Valencia, Spain & Environmental Defense Fund, Amsterdam, The Netherlands
  • 11. Carbon Mapper, Pasadena, CA, US & University of Arizona, Tucson, AZ, US

Description

Dataset of all TROPOMI detected methane plumes in 2021, including estimates for the source location, emission quantification and source type. Corresponds to Figure 6 of Schuit et al. 2023 [Automated detection and monitoring of methane super-emitters using satellite data, https://doi.org/10.5194/acp-23-9071-2023]. Additional details and context are provided in Section 3 of the paper.

 

Contents and data formats

date, date of the TROPOMI observation. format: YYYYMMDD

time_UTC, time of the TROPOMI observation in UTC. format: HH:MM:SS

lat, latitude of the center of the TROPOMI pixel at the estimated source location. format: float

lon, longitude of the center of the TROPOMI pixel at the estimated source location. format: float

source_rate_t/h, estimated emission source rate in tonnes per hour, the methodology is described in Section 2.5.1 of the paper. format: int

uncertainty_t/h, the uncertainty of the emission source rate in tonnes per hour, the methodology is described in Section 2.5.1 of the paper. format: int

estimated_source_type, the locally dominant anthropogenic source sector based on bottom-up inventories, the methodology is described in Section 2.5.3 of the paper. format: str

 

Full citation of the paper:

Schuit, B. J., Maasakkers, J. D., Bijl, P., Mahapatra, G., van den Berg, A.-W., Pandey, S., Lorente, A., Borsdorff, T., Houweling, S., Varon, D. J., McKeever, J., Jervis, D., Girard, M., Irakulis-Loitxate, I., Gorroño, J., Guanter, L.,  Cusworth, D. H., and Aben, I.: Automated detection and monitoring of methane super-emitters using satellite data, Atmos. Chem. Phys., 23, 9071–9098, https://doi.org/10.5194/acp-23-9071-2023, 2023.

Files

Schuit_etal2023_TROPOMI_all_plume_detections_2021.csv

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Additional details

Related works

Is described by
Preprint: 10.5194/acp-2022-862 (DOI)
Journal article: 10.5194/acp-23-9071-2023 (DOI)