Data for: Leveraging scientific community knowledge for air quality model chemistry parameterizations
Files contain values from Figures 1, 2, and 3 of the article by Pye et al., "Leveraging scientific community knowledge for air quality model chemistry parameterizations," scheduled for publication in EM in January 2024. Figures 2 and 3 are available in csv and excel spreadsheet format. Figure 1 is only available in spreadsheet format. Figure 1 shows gas and aerosol-phase chemistry representations in CMAQ since 2010. Figure 2 shows ozone and SOA formation potential (in g/g) for CRACMM species. Figure 3 shows the size (number of species and reactions) for various chemical mechanisms.
This dataset is associated with the following publication:
Pye, H., R. Schwantes, K. Barsanti, V.F. McNeill, and G. Wolfe. Leveraging scientific community knowledge for air quality model chemistry parameterizations. EM Magazine. Air and Waste Management Association, Pittsburgh, PA, USA, 24-31, (2024).
Resources
5 resources available
-
https://doi.org/10.5281/zenodo.7218076
FILE -
https://www.github.com/USEPA/CMAQ
FILE -
20231120_pye_em_figuredata.xlsx
APPLICATION/VND.OPENXMLFORMATS-OFFICEDOCUMENT.SPREADSHEETML.SHEET -
Fig2.csv
TEXT/PLAIN -
Fig3.csv
TEXT/PLAIN
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "020:00" ] |
| contactPoint |
{ "fn": "Havala Pye", "hasEmail": "mailto:pye.havala@epa.gov" } |
| description | Files contain values from Figures 1, 2, and 3 of the article by Pye et al., "Leveraging scientific community knowledge for air quality model chemistry parameterizations," scheduled for publication in EM in January 2024. Figures 2 and 3 are available in csv and excel spreadsheet format. Figure 1 is only available in spreadsheet format. Figure 1 shows gas and aerosol-phase chemistry representations in CMAQ since 2010. Figure 2 shows ozone and SOA formation potential (in g/g) for CRACMM species. Figure 3 shows the size (number of species and reactions) for various chemical mechanisms. This dataset is associated with the following publication: Pye, H., R. Schwantes, K. Barsanti, V.F. McNeill, and G. Wolfe. Leveraging scientific community knowledge for air quality model chemistry parameterizations. EM Magazine. Air and Waste Management Association, Pittsburgh, PA, USA, 24-31, (2024). |
| distribution |
[ { "title": "https://doi.org/10.5281/zenodo.7218076", "accessURL": "https://doi.org/10.5281/zenodo.7218076" }, { "title": "https://www.github.com/USEPA/CMAQ", "accessURL": "https://www.github.com/USEPA/CMAQ" }, { "title": "20231120_pye_em_figuredata.xlsx", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529808/20231120_pye_em_figuredata.xlsx" }, { "title": "Fig2.csv", "mediaType": "text/plain", "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529808/Fig2.csv" }, { "title": "Fig3.csv", "mediaType": "text/plain", "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529808/Fig3.csv" } ] |
| identifier | https://doi.org/10.23719/1529808 |
| keyword |
[ "CMAQ", "CRACMM", "Chemical Mechanism", "HAP", "Nitrogen and Co-pollutants", "Ozone", "secondary organic aerosol (SOA)" ] |
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2023-11-20 |
| programCode |
[ "020:000" ] |
| publisher |
{ "name": "U.S. EPA Office of Research and Development (ORD)", "subOrganizationOf": { "name": "U.S. Environmental Protection Agency", "subOrganizationOf": { "name": "U.S. Government" } } } |
| references |
[ "https://www.awma.org/emcurrentissue" ] |
| rights |
null
|
| title | Data for: Leveraging scientific community knowledge for air quality model chemistry parameterizations |
