Fluxes of reactive organic gases seasonal intercomparison of chemical lifetimes and emissions
Data files
Apr 16, 2026 version files 4.27 MB
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FROGSICLE-ACSM_Ground_20240201_R1.ict
322.30 KB
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FROGSICLE-SMPS_Ground_20240201_R1.ict
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FROGSICLE-SP2_Ground_20240201_R1.ict
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README.md
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Abstract
Sub–micron particulate matter (PM1) in the New York (NY) metropolitan area impacts air quality and human health. We characterized refractory black carbon (BC) and non–refractory (NR) PM1 in Mineola, NY during winter 2024 and NR-PM1 during summer 2023. This study investigated seasonal differences in PM1, drivers of wintertime PM1 elevated events, and potential health effects on local communities. Organic aerosol (OA) dominates both winter (63 %) and summer (86 %) NR–PM1. Primary OA dominates winter PM1 (57 %) with cooking organic aerosol (COA) contributing on average 29 %, but up to 81 % of elevated PM1 events. In summer, OA was impacted by wildfire smoke and biogenic sources; COA averaged only 9 % of OA, but sporadically enhanced OA and drove several PM1 events. BC accounted for 6 % of winter PM1. BC coating thickness increased during wintertime events relative to the campaign average, although modeled respiratory deposition showed that accompanying size changes did not shift respiratory deposition away from the alveolar region. Overall, urban PM1 primarily deposited to the sensitive alveolar region, with BC–containing particles exacerbating this effect relative to their uncoated cores. Canadian wildfire events during summer 2023 enhanced total deposition to the lungs when weighted by mass, with relative deposition favoring the head airways more than other summer periods. Our observations demonstrate that cooking is an important local source of PM1 in urban regions throughout the year, and that BC and NR-PM1 from multiple sources remain a threat to respiratory deposition and community health.
Dataset DOI: 10.5061/dryad.7sqv9s564
Description of the data and file structure
Particluate Matter data from the Fluxes of Reactive Organic Gases Seasonal Intercomparison of Chemical Lifetimes and Emissions (FROGSICLE). Data is from a Scanning Mobility Particle Sizer (SMPS), Aerosol Chemical Speciation Monitor (ACSM), and Single Particle Soot Photometer (SP2). All data is in the ICARTT format.
Files and variables
File: FROGSICLE-ACSM_Ground_20240201_R1.ict
Description: Bulk chemical speciation data from the Aerosol Chemical Speciation Monitor (ACSM). Missing data is reported as -9999. ICARTT format. pOrg (Organic Aerosol), pNO3, pNH4, pSO4, pCl mass concentrations. Data is averaged to 900 s.
File: FROGSICLE-SMPS_Ground_20240201_R1.ict
Description: Size distribtion data from the Scanning Mobility Particle Sizer (SMPS). Missing data is reported as -9999. ICARTT format. Size distribution data is presented as individual arrays with names corresponding to midpoint diameters (nm).
File: FROGSICLE-SP2_Ground_20240201_R1.ict
Description: Refractory Black Carbon data from the Single Particle Soot Photometer (SP2). Missing data is reported as -9999. ICARTT format. Coating thickness information included with restrictions of optical diamter from 180-300 nm.
Code/software
HYSPLIT trajectory modeling software used in this work is available at https://www.ready.noaa.gov/HYSPLIT_traj.php (Stein et al. 2015). ToF–ACSM data analysis software (Tofware) which is available for ACSM users uses Igor Pro (WaveMetrics). The PSI SP2 Toolkit is requestable from https://zenodo.org/records/3575186. The PET toolkit is available at https://cires1.colorado.edu/jimenez–group/wiki/index.php/PMF–AMS_Analysis_Guide. The AMS/ACSM Spectra Data base (available at: http://cires.colorado.edu/jimenez–group/AMSsd/; (Ulbrich et al. 2009)) was used on the AMS/ACSM Mass Spectral Comparison Tool (MARMOT) platform available at https://doi.org/10.5281/zenodo.10236207. Size distribution processing code and additional code to generate figures are available at https://github.com/FarmerGroupGH-CSU/Farmer-Group-CSU---SMPS-Processing-Toolkit, respectively. and https://github.com/ajde1998/De–Groodt–Igor–Functions, respectively.
