September 11, 2024

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Team develops new tool to map fossil fuel emissions from space

Spectral detection of ethane in radiances measured by the Cross-track Infrared Sounder (CrIS). Plotted are (a) CrIS carbon monoxide (CO) columns, b ethane hyperspectral range indices (HRIs), and (c) ethane brightness temperature differences for a fire plume over the South Pacific on January 2, 2020. All quantities are normalized and screened for clouds using the 900 cm−1 brightness/surface-skin temperature difference. The CrIS data shown is primarily from granule 13, with additional data from granules 12, 14, 29, 232, 233, and 234. Credit: Nature Communications (2024). DOI: 10.1038/s41467-024-52247-z
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Spectral detection of ethane in radiances measured by the Cross-track Infrared Sounder (CrIS). Plotted are (a) CrIS carbon monoxide (CO) columns, b ethane hyperspectral range indices (HRIs), and (c) ethane brightness temperature differences for a fire plume over the South Pacific on January 2, 2020. All quantities are normalized and screened for clouds using the 900 cm−1 brightness/surface-skin temperature difference. The CrIS data shown is primarily from granule 13, with additional data from granules 12, 14, 29, 232, 233, and 234. Credit: Nature Communications (2024). DOI: 10.1038/s41467-024-52247-z

University of Minnesota researchers have developed a new tool to measure ethane from space, leading to a better understanding of fossil fuel emissions worldwide. Ethane is commonly found in natural gas and is primarily used in plastics manufacturing.

Recently published in Nature Communications, the team used measurements from a satellite-based instrument to detect how emitted by Earth travels through the atmosphere and escapes to space. Some of this radiation is absorbed by gases in Earth's atmosphere, and this provides a way to quantify the abundance of those gases.

"Oil and gas extraction degrades air quality and contributes to climate warming. Diagnosing and mitigating these impacts requires accurate knowledge of the underlying emissions," said co-author Dylan Millet, a professor in the College of Food, Agricultural and Natural Resource Sciences (CFANS). "However, this is challenging due to a lack of measurements and because many key pollutants have other sources that are hard to distinguish from the oil and ."

The team used a machine learning algorithm to determine the atmospheric ethane concentrations based on the satellite measurements, then used the results to map ethane over key oil and gas basins around the world.

They found:

This research is a first step towards using to track atmospheric ethane emissions. Tools are planned that will provide measurement continuity into the 2030s and the ability to map fossil fuel emission changes over time. Additional instruments are being planned for launch into geostationary orbits, which will provide hourly--rather than daily--observations and finer-scale information to better understand and reduce air pollutant emissions.

"We've known for some time that our current estimates of ethane emissions are too low, and this new tool allows us to see where on the planet those missing emissions are probably coming from. The Permian Basin is the most obvious emitter in our dataset, but we can see fossil fuel emissions all over the world and will be examining those too in the near future," said lead author Jared Brewer, a postdoctoral associate in CFANS.

More information: Jared F. Brewer et al, Space-based observations of tropospheric ethane map emissions from fossil fuel extraction, Nature Communications (2024). DOI: 10.1038/s41467-024-52247-z

Journal information: Nature Communications

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