Evidence map›Paper›PMID 37587101›Full record

ArticleNature communications2023

National quantifications of methane emissions from fuel exploitation using high resolution inversions of satellite observations.

Lu Shen, Daniel J Jacob, Ritesh Gautam, Mark Omara, Tia R Scarpelli, Alba Lorente, Daniel Zavala-Araiza, Xiao Lu, Zichong Chen, Jintai Lin

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

10 authors.

Lu ShenDepartment of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China. lshen@pku.edu.cn.ORCID http://orcid.org/0000-0003-2787-7016
Daniel J JacobSchool of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA.ORCID http://orcid.org/0000-0002-6373-3100
Ritesh GautamEnvironmental Defense Fund, Washington DC, 20009, USA.
Mark OmaraEnvironmental Defense Fund, Washington DC, 20009, USA.ORCID http://orcid.org/0000-0002-8933-1927
Tia R ScarpelliSchool of GeoSciences, University of Edinburgh, Edinburgh, EH9 3JN, UK.
Alba LorenteSchool of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA.
Daniel Zavala-AraizaEnvironmental Defense Fund, Washington DC, 20009, USA.ORCID http://orcid.org/0000-0002-8394-5725
Xiao LuSchool of Atmospheric Sciences, Sun Yat-sen University, Zhuhai, Guangdong, China.ORCID http://orcid.org/0000-0002-5989-0912
Zichong ChenSchool of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA.
Jintai LinDepartment of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-2362-2940

Funding

National Natural Science Foundation of China (National Science Foundation of China) 4227050413
6 · The paper itself

Abstract

Reducing methane emissions from fossil fuel exploitation (oil, gas, coal) is an important target for climate policy, but current national emission inventories submitted to the United Nations Framework Convention on Climate Change (UNFCCC) are highly uncertain. Here we use 22 months (May 2018-Feb 2020) of satellite observations from the TROPOMI instrument to better quantify national emissions worldwide by inverse analysis at up to 50 km resolution. We find global emissions of 62.7 ± 11.5 (2σ) Tg a

Identifiers

PMID37587101
PMCPMC10432515

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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.