Evidence map›Paper›PMID 41018119›Full record

ArticleJournal of geophysical research. Atmospheres : JGR2025

Improved Simulation of Particle Number Concentrations Over the US: Integrating a Size-Resolved Advanced Particle Microphysics Model Into CMAQ.

Jingbo Mao, Fangqun Yu, Benjamin N Murphy, Jingyu An, Yan Zhang, Gan Luo, Shao Lin, A Gannet Hallar

Abstract read
In one paragraph

Article in Journal of geophysical research. Atmospheres : JGR, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Jingbo MaoAtmospheric Sciences Research Center, State University of New York, Albany, NY, USA.
Fangqun YuAtmospheric Sciences Research Center, State University of New York, Albany, NY, USA.ORCID 0000-0001-8862-4835
Benjamin N MurphyUS Environmental Protection Agency, Office of Research and Development, Durham, NC, USA.ORCID 0000-0003-3542-5378
Jingyu AnDepartment of Environmental Science and Engineering, Fudan University, Shanghai, China.ORCID 0000-0002-3274-3306
Yan ZhangDepartment of Environmental Science and Engineering, Fudan University, Shanghai, China.ORCID 0000-0003-3087-326X
Gan LuoAtmospheric Sciences Research Center, State University of New York, Albany, NY, USA.ORCID 0000-0002-9588-7008
Shao LinSchool of Public Health, State University of New York, Albany, NY, USA.
A Gannet HallarDepartment of Atmospheric Sciences, University of Utah, Salt Lake City, UT, USA.ORCID 0000-0001-9972-0056

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Accurate representation of aerosol size distributions and total number concentrations is critical for evaluating particle impacts on climate, clouds, and public health. An Advanced Particle Microphysics model (APM) has been integrated into the USEPA's Community Multiscale Air Quality Modeling System (CMAQ) to improve its representation of aerosol size distribution. CMAQ is a state-of-the-science air quality model simulating the emission, transport, formation, evolution, and deposition of air pollutants. Unlike the original CMAQ's simplified modal approach, the sectional APM model distinguishes primary and secondary particles, keeps track of secondary species coated on each type of primary particle (black carbon, primary organic carbon, dust, and sea salt), and uses flexible binning for different particle types. This introduces 116 new APM-related tracers increasing computational cost by 83% but enabling high-size resolution aerosol simulations. The updated CMAQ-APM incorporates a ternary H

Identifiers

PMID41018119
PMCPMC12466536

What OpenQuestion holds

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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.