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
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
7189-7221Subventions
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.
Références
Proc Natl Acad Sci U S A. 2016 Sep 6;113(36):10025-30
pubmed: 27551089
Environ Sci Technol. 2016 Jul 19;50(14):7527-34
pubmed: 27310144
Environ Sci Technol. 2016 Nov 15;50(22):12356-12364
pubmed: 27779870
Geosci Model Dev. 2017;10(4):1703-1732
pubmed: 30147852
Atmos Environ (1994). 2019;214:1-116872
pubmed: 31741655
J Geophys Res Atmos. 2019;124(14):8303-8319
pubmed: 31667043
J Air Waste Manag Assoc. 1999 Dec;49(12):1415-1424
pubmed: 28060636
Environ Sci Technol. 2017 Feb 7;51(3):1458-1466
pubmed: 28051851
Atmos Chem Phys. 2017;17:12449-12474
pubmed: 29681922
Atmos Chem Phys. 2017;17(1):343-369
pubmed: 30147709
Atmos Chem Phys. 2017;17(16):9869-9883
pubmed: 30147710
Environ Sci Technol. 2015 Aug 4;49(15):9203-11
pubmed: 26151227
Environ Chem Lett. 2017 Dec;15(4):709-715
pubmed: 29713260
Atmos Chem Phys. 2020 Apr 24;20(8):4809-4888
pubmed: 33424953
J Air Waste Manag Assoc. 2017 May;67(5):582-598
pubmed: 27960634
Atmos Chem Phys. 2017;17(17):10435-10465
pubmed: 30147711
Sci Rep. 2018 May 25;8(1):8151
pubmed: 29802392