Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 267 - 316
Published: Nov. 29, 2024
Language: Английский
Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 267 - 316
Published: Nov. 29, 2024
Language: Английский
Journal of Geophysical Research Atmospheres, Journal Year: 2025, Volume and Issue: 130(5)
Published: March 3, 2025
Abstract The record‐breaking 2023 Canadian wildfire season had large‐scale burning that resulted in wide‐reaching long‐range transport of smoke plumes and their associated trace gases. This paper examines three events (May 16‐23, June 3‐9 17‐30, 2023) during which the composition was measured over Toronto Egbert, Ontario. Tropospheric columns (0–10 km) CO, C 2 H 6 , CH 3 OH, HCN, HCOOH, NH O were using high‐resolution Fourier transform infrared spectrometers. Coincident enhancements CO other gases used to calculate enhancement ratios. Correlations with observed for HCN but not . Plume investigated Hybrid Single‐Particle Lagrangian Integrated Trajectory model, GEM‐MACH‐FireWork (GM‐FW) air quality Measurements Pollution Troposphere (MOPITT) satellite data. Additional measurements examined surface PM 2.5 plume height from a Mini Micro Pulse Lidar, EM27/SUN XCO columns. GM‐FW model output compared ground‐based 0–10 km column measurements, MOPITT maps. Over forest fire (May‐September), underestimated background tropospheric generally overestimated events. Relative situ seasonal averages (which enhanced events), while fluctuated between positive negative bias. Compared MOPITT, event‐averaged appropriately represent dispersion across country, some offsets on scale locations are consistent discussed findings.
Language: Английский
Citations
0Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 267 - 316
Published: Nov. 29, 2024
Language: Английский
Citations
0