Evidence map›Paper›PMID 40772529›Full record

ArticleEnvironmental science & technology2025

A High-Resolution Inventory of Anthropogenic Methane Emissions in New York State.

Matthew L Loman, Lee T Murray, Eric M Leibensperger, Joannes D Maasakkers

Abstract read
In one paragraph

Article in Environmental science & technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Matthew L LomanDepartment of Earth and Environmental Sciences, University of Rochester, Rochester, New York 14627, United States.ORCID 0000-0002-9749-3600
Lee T MurrayDepartment of Earth and Environmental Sciences, University of Rochester, Rochester, New York 14627, United States.ORCID 0000-0002-3447-3952
Eric M LeibenspergerDepartment of Physics and Astronomy, Ithaca College, Ithaca, New York 14850, United States.
Joannes D MaasakkersSRON Netherlands Institute for Space Research, Leiden 2333 CA, Netherlands.ORCID 0000-0001-8118-0311

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anthropogenic sources of methane have become an important area of research in recent years, as subnational entities such as New York (NY) State mandate methane emission reductions to improve air quality and limit global warming. To facilitate modeling of regional methane emissions, we present an inventory of spatially disaggregated anthropogenic methane emissions in 2020 for NY at 100 m horizontal resolution and monthly temporal resolution. We distribute emissions for 82 source categories reported in statewide inventories from the NY State Department of Environmental Conservation (NYSDEC) and the New York State Energy Research and Development Authority (NYSERDA). This work compares favorably with existing gridded inventories including the New York City Urban Area inventory, but the NYSDEC and NYSERDA reports estimate total anthropogenic methane emissions that are 38 and 170% higher than the 2020 NY totals of the gridded Environmental Protection Agency inventory and version 8 of the Emissions Database for Global Atmospheric Research inventory, respectively, primarily due to emissions from fossil fuels and landfills. Although some major anthropogenic sources of methane remain uncertain, this work is foundational for the local-scale analyses and modeling that will be necessary for NY and other subnational entities to achieve their emission reduction targets.

Indexed as

MethaneAir PollutantsEnvironmental MonitoringNew YorkAir PollutantsMethaneemissions inventory developmentfossil fuelsfuel combustiongreenhouse gaseslandfillsnatural gaswastewater

Identifiers

PMID40772529
PMCPMC12368985

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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.