Evidence map›Paper›PMID 40177305›Full record

ArticleGeoscientific model development2024

Development of the MPAS-CMAQ coupled system (V1.0) for multiscale global air quality modeling.

David C Wong, Jeff Willison, Jonathan E Pleim, Golam Sarwar, James Beidler, Russ Bullock, Jerold A Herwehe, Rob Gilliam, Daiwen Kang, Christian Hogrefe and 2 more

Abstract read
In one paragraph

Article in Geoscientific model development, 2024. 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. Application and evaluation of CRACMM v1.0 mechanism in PMGeoscientific model development · 2026
    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

12 authors.

David C WongOffice of Research and Development, U.S. Environmental Protection Agency, Durham, NC, USA.
Jeff WillisonOffice of Research and Development, U.S. Environmental Protection Agency, Durham, NC, USA.
Jonathan E PleimOffice of Research and Development, U.S. Environmental Protection Agency, Durham, NC, USA.
Golam SarwarOffice of Research and Development, U.S. Environmental Protection Agency, Durham, NC, USA.
James BeidlerOffice of Research and Development, U.S. Environmental Protection Agency, Durham, NC, USA.
Russ BullockOffice of Research and Development, U.S. Environmental Protection Agency, Durham, NC, USA.
Jerold A HerweheOffice of Research and Development, U.S. Environmental Protection Agency, Durham, NC, USA.
Rob GilliamOffice of Research and Development, U.S. Environmental Protection Agency, Durham, NC, USA.
Daiwen KangOffice of Research and Development, U.S. Environmental Protection Agency, Durham, NC, USA.
Christian HogrefeOffice of Research and Development, U.S. Environmental Protection Agency, Durham, NC, USA.
George PouliotOffice of Research and Development, U.S. Environmental Protection Agency, Durham, NC, USA.
Hosein ForoutanCivil & Environmental Engineering, Virginia Tech, Blacksburg, VA, USA.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

The Community Multiscale Air Quality (CMAQ) model has been used for regulatory purposes at the U.S. EPA and in the research community for decades. In 2012, we released the Weather Research and Forecasting (WRF)-CMAQ coupled model that enables aerosol information from CMAQ to affect meteorological processes through direct effects on shortwave radiation. Both CMAQ and WRF-CMAQ are considered limited-area models. Recently, we have extended domain coverage to the global scale by linking the meteorological Model for Prediction Across Scales - Atmosphere (MPAS-A, hereafter referred simply to as MPAS) with CMAQ to form the MPAS-CMAQ global coupled model. To configure these three different models, i.e., CMAQ (offline), WRF-CMAQ, and MPAS-CMAQ, we have developed the Advanced Air Quality Modeling System (AAQMS) for constructing each of them effortlessly. We evaluate this newly built MPAS-CMAQ coupled model using two global configurations: a 120 km uniform mesh and a 92-25 km variable mesh with the finer area over North America. Preliminary computational tests show good scalability and model evaluation, when using a 3-year simulation (2014-2016) for the uniform mesh case and a monthly simulation of January and July 2016 for the variable mesh case, on ozone and PM

Identifiers

PMID40177305
PMCPMC11960730

What OpenQuestion holds

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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.