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.


Journal

Geoscientific model development
ISSN: 1991-9603
Titre abrégé: Geosci Model Dev
Pays: Germany
ID NLM: 101723833

Informations de publication

Date de publication:
26 Nov 2021
Historique:
entrez: 3 3 2022
pubmed: 4 3 2022
medline: 4 3 2022
Statut: ppublish

Résumé

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

Identifiants

pubmed: 35237388
doi: 10.5194/gmd-14-7189-2021
pmc: PMC8883479
mid: NIHMS1779352
doi:

Types de publication

Journal Article

Langues

eng

Pagination

7189-7221

Subventions

Organisme : Intramural EPA
ID : EPA999999
Pays : United States

Déclaration de conflit d'intérêts

Competing interests. The authors declare that they have no conflict of interest.

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Auteurs

Kai Wang (K)

Department of Civil and Environmental Engineering, Northeastern University, Boston, MA 02115, USA.

Yang Zhang (Y)

Department of Civil and Environmental Engineering, Northeastern University, Boston, MA 02115, USA.

Shaocai Yu (S)

Key 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 Wong (DC)

Center for Environmental Measurement and Modeling, U.S. EPA, Research Triangle Park, NC 27711, USA.

Jonathan Pleim (J)

Center for Environmental Measurement and Modeling, U.S. EPA, Research Triangle Park, NC 27711, USA.

Rohit Mathur (R)

Center for Environmental Measurement and Modeling, U.S. EPA, Research Triangle Park, NC 27711, USA.

James T Kelly (JT)

Office of Air Quality Planning and Standards, U.S. EPA, Research Triangle Park, NC 27711, USA.

Michelle Bell (M)

School of Forestry & Environmental Studies, Yale University, New Haven, CT 06511, USA.

Classifications MeSH