Evidence map›Paper›PMID 35237388›Full record

ArticleGeoscientific model development2021

A comparative study of two-way and offline coupled WRF v3.4 and CMAQ v5.0.2 over the contiguous US: performance evaluation and impacts of chemistry-meteorology feedbacks on air quality.

Kai Wang, Yang Zhang, Shaocai Yu, David C Wong, Jonathan Pleim, Rohit Mathur, James T Kelly, Michelle Bell

Open access · goldAbstract read
In one paragraph

Article in Geoscientific model development, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.8field-weighted citation impact, top 17% of its field
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

3 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
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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

8 authors at 4 institutions in 3 countries.

Kai WangDepartment of Civil and Environmental Engineering, Northeastern University, Boston, MA 02115, USA.
Yang ZhangDepartment of Civil and Environmental Engineering, Northeastern University, Boston, MA 02115, USA.
Shaocai YuKey Laboratory of Environmental Remediation and Ecological Health, Ministry of Education; Research Center for Air Pollution and Health, College of Environment and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, P.R. China.
David C WongCenter for Environmental Measurement and Modeling, U.S. EPA, Research Triangle Park, NC 27711, USA.
Jonathan PleimCenter for Environmental Measurement and Modeling, U.S. EPA, Research Triangle Park, NC 27711, USA.
Rohit MathurCenter for Environmental Measurement and Modeling, U.S. EPA, Research Triangle Park, NC 27711, USA.
James T KellyOffice of Air Quality Planning and Standards, U.S. EPA, Research Triangle Park, NC 27711, USA.
Michelle BellSchool of Forestry & Environmental Studies, Yale University, New Haven, CT 06511, USA.
Environmental Protection Agency · USNortheastern University · USMinistry of Education · THYale University · US

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

The two-way coupled Weather Research and Forecasting and Community Multiscale Air Quality (WRF-CMAQ) model has been developed to more realistically represent the atmosphere by accounting for complex chemistry-meteorology feedbacks. In this study, we present a comparative analysis of two-way (with consideration of both aerosol direct and indirect effects) and offline coupled WRF v3.4 and CMAQ v5.0.2 over the contiguous US. Long-term (5 years from 2008 to 2012) simulations using WRF-CMAQ with both offline and two-way coupling modes are carried out with anthropogenic emissions based on multiple years of the U.S. National Emission Inventory and chemical initial and boundary conditions derived from an advanced Earth system model (i.e., a modified version of the Community Earth System Model/Community Atmospheric Model). The comprehensive model evaluations show that both two-way WRF-CMAQ and WRF-only simulations perform well for major meteorological variables such as temperature at 2 m, relative humidity at 2 m, wind speed at 10 m, precipitation (except for against the National Climatic Data Center data), and shortwave and longwave radiation. Both two-way and offline CMAQ also show good performance for ozone (O

Identifiers

PMID35237388
PMCPMC8883479
OpenAlexW3081785617

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.