Evidence map›Paper›PMID 39830727›Full record

ArticleEnvironmental science & technology letters2025

Multiscale Measurements of Greenhouse Gas Emissions at U.S. Natural Gas Liquefaction Terminals.

Yuanrui Zhu, Gregory Ross, Olga Khaliukova, Selina A Roman-White, Fiji C George, Dorit Hammerling, Arvind P Ravikumar

Abstract read
In one paragraph

Article in Environmental science & technology letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Yuanrui ZhuEnergy Emissions Modeling and Data Lab (EEMDL), The University of Texas at Austin, Austin Texas 78712, United States.ORCID https://orcid.org/0000-0003-2688-1419
Gregory RossCheniere Energy, Inc., Houston Texas 77002, United States.
Olga KhaliukovaEnergy Emissions Modeling and Data Lab (EEMDL), The University of Texas at Austin, Austin Texas 78712, United States.ORCID https://orcid.org/0000-0002-6192-7139
Selina A Roman-WhiteCheniere Energy, Inc., Houston Texas 77002, United States.
Fiji C GeorgeCheniere Energy, Inc., Houston Texas 77002, United States.ORCID https://orcid.org/0000-0001-8819-0838
Dorit HammerlingEnergy Emissions Modeling and Data Lab (EEMDL), The University of Texas at Austin, Austin Texas 78712, United States.ORCID https://orcid.org/0000-0003-3583-3611
Arvind P RavikumarEnergy Emissions Modeling and Data Lab (EEMDL), The University of Texas at Austin, Austin Texas 78712, United States.ORCID https://orcid.org/0000-0001-8385-6573

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Addressing methane emissions across the liquefied natural gas (LNG) supply chain is key to reducing climate impacts of LNG. Actions to address methane emissions have emphasized the importance of the use of measurement-informed emissions inventories given the systematic underestimation in official greenhouse gas (GHG) emission inventories. Despite significant progress in field measurements of GHG emissions across the natural gas supply chain, no detailed measurements at US liquefaction terminals are publicly available. In this work, we conduct multiscale, periodic measurements of methane and carbon dioxide emissions at two US LNG terminals over a 16-month campaign. We find that methane emission intensity varied from 0.007% to 0.045%, normalized to methane in LNG production. Carbon dioxide emissions accounted for over 95% of total GHG emissions using 100-year global warming potential (GWP) for methane. Thus, contrary to observations across other natural gas supply chain segments, we find that reported GHG emissions intensity closely matches measurement informed GHG emissions intensity of 0.24-0.27 kg CO

Identifiers

PMID39830727
PMCPMC11736837

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.