Evidence map›Paper›PMID 39244593›Full record

ArticleNature communications2024

Space-based observations of tropospheric ethane map emissions from fossil fuel extraction.

Jared F Brewer, Dylan B Millet, Kelley C Wells, Vivienne H Payne, Susan Kulawik, Corinne Vigouroux, Karen E Cady-Pereira, Rick Pernak, Minqiang Zhou

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jared F BrewerUniversity of Minnesota, Department of Soil, Water, and Climate, Saint Paul, MN, USA.
Dylan B MilletUniversity of Minnesota, Department of Soil, Water, and Climate, Saint Paul, MN, USA. dbm@umn.edu.ORCID http://orcid.org/0000-0003-3076-125X
Kelley C WellsUniversity of Minnesota, Department of Soil, Water, and Climate, Saint Paul, MN, USA.ORCID http://orcid.org/0000-0003-3025-6878
Vivienne H PayneNASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0002-9204-9703
Susan KulawikBAER Institute, Petaluma, CA, USA.
Corinne VigourouxRoyal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium.
Karen E Cady-PereiraAtmospheric and Environmental Research, Lexington, MA, USA.ORCID http://orcid.org/0000-0002-1386-3791
Rick PernakAtmospheric and Environmental Research, Lexington, MA, USA.
Minqiang ZhouInstitute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.

Funding

NASA | Jet Propulsion Laboratory (JPL) 80NM0018D0004National Aeronautics and Space Administration (NASA) 80NSSC21K1963National Aeronautics and Space Administration (NASA) 80NSSC21K1975United States Department of Commerce | National Oceanic and Atmospheric Administration (NOAA) NA22OAR4310200
6 · The paper itself

Abstract

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

Identifiers

PMID39244593
PMCPMC11380669

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.