Simon Heather, Beidler James, Baker Kirk R, Henderson Barron H, Fox Loren, Misenis Chris, Campbell Patrick, Vukovich Jeff, Possiel Norm, Eyth Alison
Office 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, USA.
Data Brief. 2024 Dec 6;58:111208. doi: 10.1016/j.dib.2024.111208. eCollection 2025 Feb.
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.
烧伤事件结果快速建模(EMBER)数据集包含2023年夏季网格间距为36公里的社区多尺度空气质量(CMAQ)光化学模型。对于排放,这些模拟使用了最近一年代表性的月度和每周特定日期的人为排放,以及使用蓝天管道得出的2023年特定日期初步火灾排放。基础模型运行模拟了2023年4月11日至9月29日期间美国本土的臭氧浓度。两次归零模型运行模拟了美国(1)在没有火灾排放情况下(“零火灾”)和(2)仅在没有加拿大野火排放情况下(“零加拿大火灾”)可能出现的臭氧水平。然后,将基础EMBER运行模拟的臭氧与每个归零模型运行模拟的臭氧之间的差异估计为火灾对臭氧的影响。由于这些模拟中的排放限制和36公里的网格间距,EMBER被作为一个筛选级数据集呈现。