Survey of methane super-emitters in the Permian Basin with spaceborne hyperspectral data
Luis Guanter, Universitat Politècnica de València, lguanter@fis.upv.es (Presenter)
Itziar Irakulis-Loitxate, Universitat Politècnica de València, iiraloi@doctor.upv.es
Yinnian Liu, Shangai Inst. Technical Physics, ynliu@mail.sitp.ac.cn
Daniel Varon, Harvard University, danielvaron@g.harvard.edu
Joannes Dyonisius Maasakkers, SRON Netherlands Institute for Space Research, j.d.maasakkers@sron.nl
Yuzhong Zhang, Westlake Institute for Advanced Study, zhangyuzhong@westlake.edu.cn
Apisada Chulakadabba, Harvard University, achulakadabba@seas.harvard.edu
Steven Wofsy, Harvard University, wofsy@g.harvard.edu
Andrew Kenji Thorpe, JPL, andrew.k.thorpe@jpl.nasa.gov
Riley Duren, University of Arizona, riley.m.duren@jpl.nasa.gov
Daniel Cusworth, JPL, daniel.cusworth@jpl.nasa.gov
David Lyon, Environmental Defense Fund, dlyon@edf.org
Benjamin Hmiel, Environmental Defense Fund, bhmiel@edf.org
Yongguang Zhang, Nanjing University, yongguang_zhang@nju.edu.cn
Javier Gorroño, Universitat Politècnica de València, jagorvie@upv.edu.es
Elena Sánchez-García, Universitat Politècnica de València, elsncgar@upv.es
Melissa Sulprizio, Harvard University, mpayer@seas.harvard.edu
Lise Aben, Netherlands Institute for Space Research, i.aben@sron.nl
Daniel Jacob, Harvard University, djacob@fas.harvard.edu
Satellite-based imaging spectrometers, also called hyperspectral imagers, produce images of the Earth in hundreds of spectral channels covering the entire solar range with a typical bandwidth of 10 nm and a spatial sampling of 30 m. The potential of these instruments for methane mapping was first demonstrated using the AVIRIS airborne spectrometer, and lately space-based instruments. In this contribution, we combine hyperspectral data collected over several days in 2019 and 2020 from three new satellite missions (the Chinese GF5-AHSI and ZY1-AHSI and the Italian PRISMA) to map methane point emissions in the Permian Basin. We have identified a total of 37 point source emissions with flux rates >500kg/h, that is, a high concentration of extreme emission point sources. Also, we have found that new infrastructure (post-2018) is responsible for almost 60% of the detected emissions. Our results demonstrate that hyperspectral satellite data are a powerful tool for the detection and quantification of strong methane point emissions, and reveal the extreme emissions happening within the Permian Basin.
Poster: Poster_Guanter__30_25.pdf
Presentation Type: Poster
Session: 3.2c Observations to quantify hot spots and local/urban emissions
Session Date: Wednesday (6/16) 9:45 AM