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

  • J. Schuit (Creator)
  • Joannes D. Maasakkers (Creator)
  • P.K. (Peter) Bijl (Creator)
  • Gourav Mahapatra (Creator)
  • Anne-Wil van den Berg (Creator)
  • S. Pandey (Creator)
  • Alba Lorente (Creator)
  • Tobias Borsdorff (Creator)
  • S. Houweling (Creator)
  • Daniel J. Varon (Creator)
  • Jason McKeever (Creator)
  • Dylan Jervis (Creator)
  • M. Girard (Creator)
  • Itziar Irakulis-Loitxate (Creator)
  • Javier Gorroño (Creator)
  • L. Guanter (Creator)
  • Daniel H. Cusworth (Creator)
  • I. Aben (Creator)

Dataset

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.
Date made available28 Jun 2023

Keywords

  • TROPOMI
  • Methane
  • Plume
  • Machine learning

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