Comprehensive Air Quality Model with Extensions: Formulation and Evaluation for Ozone and Particulate Matter over the US

被引:1
|
作者
Emery, Christopher [1 ]
Baker, Kirk [2 ]
Wilson, Gary [1 ]
Yarwood, Greg [1 ]
机构
[1] Ramboll, Novato, CA 94945 USA
[2] US EPA, Res Triangle Pk, NC 27711 USA
关键词
CAMx; air quality; grid modeling; photochemistry; ozone; PM2.5; SECONDARY ORGANIC AEROSOL; VOLATILITY BASIS-SET; FRITSCH CONVECTIVE PARAMETERIZATION; GASEOUS DRY DEPOSITION; ATMOSPHERIC CHEMISTRY; SULFUR-DIOXIDE; MECHANISM; SCALE; PREDICTIONS; EMISSIONS;
D O I
10.3390/atmos15101158
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Comprehensive Air Quality Model with extensions (CAMx) is an open-source, state-of-the-science photochemical grid model that addresses tropospheric air pollution (ozone, particulates, air toxics) over spatial scales ranging from neighborhoods to continents. CAMx has been in continuous development for over 25 years and has been used by numerous entities ranging from government to industry to academia to support regulatory actions and scientific research addressing a variety of air quality issues. Here, we describe the technical formulation of CAMx v7.20, publicly released in May 2022. To illustrate an example of regional and seasonal model performance for predicted ozone and fine particulate matter (PM2.5), we summarize a model evaluation from a recent 2016 national-scale CAMx application over nine climate zones contained within the conterminous US. We show that statistical performance for warm season maximum 8 h ozone is consistently within benchmark statistical criteria for bias, gross error, and correlation over all climate zones, and often near statistical goals. Statistical performance for 24 h PM2.5 and constituents fluctuate around statistical criteria with more seasonal and regional variability that can be attributed to different sources of uncertainty among PM2.5 species (e.g., weather influences, chemical treatments and interactions, emissions uncertainty, and ammonia treatments). We close with a mention of new features and capabilities that are planned for the next public releases of the model in 2024 and beyond.
引用
收藏
页数:37
相关论文
共 50 条
  • [1] A comprehensive performance evaluation of the air quality model BOLCHEM to reproduce the ozone concentrations over Italy
    Mircea, Mihaela
    D'Isidoro, Massimo
    Maurizi, Alberto
    Vitali, Lina
    Monforti, Fabio
    Zanini, Gabriele
    Tampieri, Francesco
    ATMOSPHERIC ENVIRONMENT, 2008, 42 (06) : 1169 - 1185
  • [2] Application and evaluation of two Air Quality Models for particulate matter for a southeastern US episode
    Zhang, Y
    Pun, B
    Wu, SY
    Vijayaraghavan, K
    Seigneur, C
    JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 2004, 54 (12) : 1478 - 1493
  • [3] Chemical Sensitivity Analysis and Uncertainty Analysis of Ozone Production in the Comprehensive Air Quality Model with Extensions Applied to Eastern Texas
    Dunker, Alan M.
    Wilson, Gary
    Bates, Josephine T.
    Yarwood, Greg
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2020, 54 (09) : 5391 - 5399
  • [4] Long-term simulations of particulate matter over Europe with emphasis on North-Rhine-Westphalia with a comprehensive air quality model system
    Wurzler, S.
    Geiger, J.
    Hartmann, U.
    Hoffmann, V.
    Pfeffer, U.
    Memmesheimer, M.
    Friese, E.
    Jakobs, H.J.
    Feldmann, H.
    Ebel, A.
    Kerschgens, M.J.
    Journal of Aerosol Science, 2004, 35 (SUPPL. 2):
  • [5] Uncertainty in air quality model evaluation for particulate matter due to spatial variations in pollutant concentrations
    Park, Sun-Kyoung
    Cobb, Charles Evan
    Wade, Katherine
    Mulholland, James
    Hu, Yongtao
    Russell, Armistead G.
    ATMOSPHERIC ENVIRONMENT, 2006, 40 (563-573) : S563 - S573
  • [6] Evaluation of near surface ozone and particulate matter in air quality simulations driven by dynamically downscaled historical meteorological fields
    Seltzer, Karl M.
    Nolte, Christopher G.
    Spero, Tanya L.
    Appel, K. Wyat
    Xing, Jia
    ATMOSPHERIC ENVIRONMENT, 2016, 138 : 42 - 54
  • [7] Performance evaluation of ozone and particulate matter sensors
    DeWitt, H. Langley
    Crow, Walter L.
    Flowers, Bradley
    JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 2020, 70 (03) : 292 - 306
  • [8] Impact of Particulate Matter on Air Quality
    da Silva Brito, Gabriel Ferreira
    Sodre, Fernando Fabriz
    de Almeida, Fernanda Vasconcelos
    REVISTA VIRTUAL DE QUIMICA, 2018, 10 (05) : 1335 - 1354
  • [9] Air quality and effects of particulate matter
    Molline, Miriam
    Witt, Christan
    Gerber, Alexander
    Groneberg, David A.
    ZENTRALBLATT FUR ARBEITSMEDIZIN ARBEITSSCHUTZ UND ERGONOMIE, 2007, 57 (02): : 36 - 40
  • [10] Scientific assessment of background ozone over the US: Implications for air quality management
    Jaffe, Daniel A.
    Cooper, Owen R.
    Fiore, Arlene M.
    Henderson, Barron H.
    Tonnesen, Gail S.
    Russell, Armistead G.
    Henze, Daven K.
    Langford, Andrew O.
    Lin, Meiyun
    Moore, Tom
    ELEMENTA-SCIENCE OF THE ANTHROPOCENE, 2018, 6