Evidence map›Paper›PMID 39440024›Full record

ArticleAtmospheric chemistry and physics2024

An updated modeling framework to simulate Los Angeles air quality - Part 1: Model development, evaluation, and source apportionment.

Elyse A Pennington, Yuan Wang, Benjamin C Schulze, Karl M Seltzer, Jiani Yang, Bin Zhao, Zhe Jiang, Hongru Shi, Melissa Venecek, Daniel Chau and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Atmospheric chemistry and physics, 2024. 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

15 authors.

Elyse A PenningtonDepartment of Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Yuan WangDepartment of Earth System Science, Stanford University, Stanford, CA 94305, USA.
Benjamin C SchulzeDivision of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA 91125, USA.
Karl M SeltzerOffice of Air and Radiation, U.S. Environmental Protection Agency, Research Triangle Park, Durham, NC 27711, USA.
Jiani YangDivision of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA 91125, USA.
Bin ZhaoState Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China.
Zhe JiangCarbon Neutrality Research Center, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100084, China.
Hongru ShiKey Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100084, China.
Melissa VenecekModeling and Meteorology Branch, California Air Resources Board, Sacramento, CA 95814, USA.
Daniel ChauModeling and Meteorology Branch, California Air Resources Board, Sacramento, CA 95814, USA.
Benjamin N MurphyOffice of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, Durham, NC 27711, USA.
Christopher M KensethDepartment of Chemistry, California Institute of Technology, Pasadena, CA 91125, USA.
Ryan X WardDepartment of Environmental Science and Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Havala O T PyeOffice of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, Durham, NC 27711, USA.
John H SeinfeldDepartment of Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

This study describes a modeling framework, model evaluation, and source apportionment to understand the causes of Los Angeles (LA) air pollution. A few major updates are applied to the Community Multiscale Air Quality (CMAQ) model with a high spatial resolution (1 km × 1 km). The updates include dynamic traffic emissions based on real-time, on-road information and recent emission factors and secondary organic aerosol (SOA) schemes to represent volatile chemical products (VCPs). Meteorology is well predicted compared to ground-based observations, and the emission rates from multiple sources (i.e., on-road, volatile chemical products, area, point, biogenic, and sea spray) are quantified. Evaluation of the CMAQ model shows that ozone is well predicted despite inaccuracies in nitrogen oxide (NO

Identifiers

PMID39440024
PMCPMC11492966

What OpenQuestion holds

Textmetadata
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.