Gas-Phase Water-Soluble Organic Carbon: CMAQ Model Evaluation in Baltimore County

Prediction of gas-phase water-soluble organic carbon (WSOC*), a precursor for secondary organic aerosol formed through processing in atmospheric waters (aqSOA), has not yet been evaluated in models. We pair the WSOC* predictions from the U.S. EPA’s Community Multiscale Air Quality (CMAQ) model with continuous mist chamber measurements during February–March 2015 and August 2016 in Baltimore County, MD. We simulate mist chamber collection of WSOC* from CMAQ’s atmosphere with application of compound-specific collection efficiencies as a function of Henry’s law. CMAQ predictions of WSOC* mass concentrations are highest in August, while measurements are highest during February–March. CMAQ does not replicate the average diurnal pattern of the measured WSOC* in any month. The CMAQ prediction of directly emitted VOCs that oxidize to form WSOC* is more reasonable, and the model skill for nitrogen dioxide (NO₂) and ozone (O₃) is relatively excellent in comparison (R² = 0.5 and R² = 0.6, respectively; p ≈ 0). These findings suggest that representation of organic gases and their chemistry in this CMAQ simulation is sufficient to accurately predict the criteria pollutants NO₂ and O₃, but not necessarily the chemical transformations that produce WSOC*, an important precursor for aqSOA.

Publication Details

Journal
Maryland Shared Open Access Repository (USMAI Consortium)
Published
2025-05-09
DOI
https://doi.org/10.13016/m2pqzd-ywmt
Primary Topic
Art, Technology, and Culture
Type
article
Field-Weighted Citation Impact
0.00

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article

Gas-Phase Water-Soluble Organic Carbon: CMAQ Model Evaluation in Baltimore County

Maryland Shared Open Access Repository (USMAI Consortium)
Art, Technology, and Culture
article

Gas-Phase Water-Soluble Organic Carbon: CMAQ Model Evaluation in Baltimore County

article en

Abstract

Prediction of gas-phase water-soluble organic carbon (WSOC*), a precursor for secondary organic aerosol formed through processing in atmospheric waters (aqSOA), has not yet been evaluated in models. We pair the WSOC* predictions from the U.S. EPA’s Community Multiscale Air Quality (CMAQ) model with continuous mist chamber measurements during February–March 2015 and August 2016 in Baltimore County, MD. We simulate mist chamber collection of WSOC* from CMAQ’s atmosphere with application of compound-specific collection efficiencies as a function of Henry’s law. CMAQ predictions of WSOC* mass concentrations are highest in August, while measurements are highest during February–March. CMAQ does not replicate the average diurnal pattern of the measured WSOC* in any month. The CMAQ prediction of directly emitted VOCs that oxidize to form WSOC* is more reasonable, and the model skill for nitrogen dioxide (NO₂) and ozone (O₃) is relatively excellent in comparison (R² = 0.5 and R² = 0.6, respectively; p ≈ 0). These findings suggest that representation of organic gases and their chemistry in this CMAQ simulation is sufficient to accurately predict the criteria pollutants NO₂ and O₃, but not necessarily the chemical transformations that produce WSOC*, an important precursor for aqSOA.

Maryland Shared Open Access Repository (USMAI Consortium)
National Science Foundation, Division of Chemistry
Clean water and sanitation
Openalex Percentile: Top 54%
Art, Technology, and Culture
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