Space-based observations of tropospheric ethane map emissions from fossil fuel extraction.
Jared F BrewerDylan B MilletKelley C WellsVivienne H PayneSusan KulawikCorinne VigourouxKaren E Cady-PereiraRick PernakMinqiang ZhouPublished in: Nature communications (2024)
Ethane is the most abundant non-methane hydrocarbon in the troposphere, where it impacts ozone and reactive nitrogen and is a key tracer used for partitioning emitted methane between anthropogenic and natural sources. However, quantification has been challenged by sparse observations. Here, we present a satellite-based measurement of tropospheric ethane and demonstrate its utility for fossil-fuel source quantification. An ethane spectral signal is detectable from space in Cross-track Infrared Sounder (CrIS) radiances, revealing ethane signatures associated with fires and fossil fuel production. We use machine-learning to convert these signals to ethane abundances and validate the results against surface observations (R 2 = 0.66, mean CrIS/surface ratio: 0.65). The CrIS data show that the Permian Basin in Texas and New Mexico exhibits the largest persistent ethane enhancements on the planet, with regional emissions underestimated by seven-fold. Correcting this underestimate reveals Permian ethane emissions that represent at least 4-7% of the global fossil-fuel ethane source.
Keyphrases
- machine learning
- magnetic resonance imaging
- climate change
- nitric oxide
- big data
- deep learning
- optical coherence tomography
- magnetic resonance
- municipal solid waste
- hydrogen peroxide
- artificial intelligence
- anaerobic digestion
- particulate matter
- air pollution
- life cycle
- positron emission tomography
- carbon dioxide
- pet ct
- pet imaging
- data analysis
- neural network
- sewage sludge