Expediated modeling of burn events results (EMBER): A screening-level dataset of 2023 ozone fire impacts in the USzenodo
The Expedited Modeling of Burn Events Results (EMBER) dataset consists of 36-km grid-spacing Community Multiscale Air Quality (CMAQ) photochemical modeling for the summer of 2023. For emissions, these simulations utilized representative monthly and day-of-week anthropogenic emissions from a recent y...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340924011703 |
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| author | Heather Simon James Beidler Kirk R. Baker Barron H. Henderson Loren Fox Chris Misenis Patrick Campbell Jeff Vukovich Norm Possiel Alison Eyth |
| author_facet | Heather Simon James Beidler Kirk R. Baker Barron H. Henderson Loren Fox Chris Misenis Patrick Campbell Jeff Vukovich Norm Possiel Alison Eyth |
| author_sort | Heather Simon |
| collection | DOAJ |
| description | The Expedited Modeling of Burn Events Results (EMBER) dataset consists of 36-km grid-spacing Community Multiscale Air Quality (CMAQ) photochemical modeling for the summer of 2023. For emissions, these simulations utilized representative monthly and day-of-week anthropogenic emissions from a recent year and preliminary day-specific 2023 fire emissions derived using BlueSky pipeline. The base model run simulated ozone concentrations across the contiguous US during Apr 11-Sep 29, 2023. Two zero-out model runs simulated ozone levels that would have occurred in the US (1) in the absence of fire emissions (“Zero Fires”) and (2) in the absence of only Canadian wildfire emissions (“Zero Canadian Fires”). Fire impacts on ozone were then estimated as the difference between ozone simulated in the base EMBER run compared to the ozone simulated in each of the zero out model runs. EMBER is presented as a screening level dataset due to the emissions limitations and the 36-km grid-spacing used in these simulations. |
| format | Article |
| id | doaj-art-a1fa64add6174002bb37ac4ecbf3a63d |
| institution | Kabale University |
| issn | 2352-3409 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj-art-a1fa64add6174002bb37ac4ecbf3a63d2025-01-31T05:11:30ZengElsevierData in Brief2352-34092025-02-0158111208Expediated modeling of burn events results (EMBER): A screening-level dataset of 2023 ozone fire impacts in the USzenodoHeather Simon0James Beidler1Kirk R. Baker2Barron H. Henderson3Loren Fox4Chris Misenis5Patrick Campbell6Jeff Vukovich7Norm Possiel8Alison Eyth9Office of Air and Radiation, US Environmental Protection Agency, 109 TW Alexander Dr, PO Box 12055, RTP, NC 27711, USA; Corresponding author.Office of Research and Development, US Environmental Protection Agency, 109 TW Alexander Dr, PO Box 12055, RTP, NC 27711, USAOffice of Research and Development, US Environmental Protection Agency, 109 TW Alexander Dr, PO Box 12055, RTP, NC 27711, USAOffice of Air and Radiation, US Environmental Protection Agency, 109 TW Alexander Dr, PO Box 12055, RTP, NC 27711, USA; Office of Research and Development, US Environmental Protection Agency, 109 TW Alexander Dr, PO Box 12055, RTP, NC 27711, USAOffice of Air and Radiation, US Environmental Protection Agency, 109 TW Alexander Dr, PO Box 12055, RTP, NC 27711, USAOffice of Air and Radiation, US Environmental Protection Agency, 109 TW Alexander Dr, PO Box 12055, RTP, NC 27711, USACooperative Institute for Satellite Earth System Studies, Center for Satellite and Earth Science Research (CSER), George Mason University, Fairfax, VA, USA; Air Resources Laboratory, National Oceanic and Atmospheric Administration, College Park, MD, USAOffice of Air and Radiation, US Environmental Protection Agency, 109 TW Alexander Dr, PO Box 12055, RTP, NC 27711, USAOffice of Air and Radiation, US Environmental Protection Agency, 109 TW Alexander Dr, PO Box 12055, RTP, NC 27711, USAOffice of Air and Radiation, US Environmental Protection Agency, 109 TW Alexander Dr, PO Box 12055, RTP, NC 27711, USAThe Expedited Modeling of Burn Events Results (EMBER) dataset consists of 36-km grid-spacing Community Multiscale Air Quality (CMAQ) photochemical modeling for the summer of 2023. For emissions, these simulations utilized representative monthly and day-of-week anthropogenic emissions from a recent year and preliminary day-specific 2023 fire emissions derived using BlueSky pipeline. The base model run simulated ozone concentrations across the contiguous US during Apr 11-Sep 29, 2023. Two zero-out model runs simulated ozone levels that would have occurred in the US (1) in the absence of fire emissions (“Zero Fires”) and (2) in the absence of only Canadian wildfire emissions (“Zero Canadian Fires”). Fire impacts on ozone were then estimated as the difference between ozone simulated in the base EMBER run compared to the ozone simulated in each of the zero out model runs. EMBER is presented as a screening level dataset due to the emissions limitations and the 36-km grid-spacing used in these simulations.http://www.sciencedirect.com/science/article/pii/S2352340924011703CMAQSource attributionAir pollutionZero-outPhotochemical modeling |
| spellingShingle | Heather Simon James Beidler Kirk R. Baker Barron H. Henderson Loren Fox Chris Misenis Patrick Campbell Jeff Vukovich Norm Possiel Alison Eyth Expediated modeling of burn events results (EMBER): A screening-level dataset of 2023 ozone fire impacts in the USzenodo Data in Brief CMAQ Source attribution Air pollution Zero-out Photochemical modeling |
| title | Expediated modeling of burn events results (EMBER): A screening-level dataset of 2023 ozone fire impacts in the USzenodo |
| title_full | Expediated modeling of burn events results (EMBER): A screening-level dataset of 2023 ozone fire impacts in the USzenodo |
| title_fullStr | Expediated modeling of burn events results (EMBER): A screening-level dataset of 2023 ozone fire impacts in the USzenodo |
| title_full_unstemmed | Expediated modeling of burn events results (EMBER): A screening-level dataset of 2023 ozone fire impacts in the USzenodo |
| title_short | Expediated modeling of burn events results (EMBER): A screening-level dataset of 2023 ozone fire impacts in the USzenodo |
| title_sort | expediated modeling of burn events results ember a screening level dataset of 2023 ozone fire impacts in the uszenodo |
| topic | CMAQ Source attribution Air pollution Zero-out Photochemical modeling |
| url | http://www.sciencedirect.com/science/article/pii/S2352340924011703 |
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