Articles | Volume 20, issue 21
https://doi.org/10.5194/acp-20-12813-2020
https://doi.org/10.5194/acp-20-12813-2020
Research article
 | 
05 Nov 2020
Research article |  | 05 Nov 2020

Detection and attribution of wildfire pollution in the Arctic and northern midlatitudes using a network of Fourier-transform infrared spectrometers and GEOS-Chem

Erik Lutsch, Kimberly Strong, Dylan B. A. Jones, Thomas Blumenstock, Stephanie Conway, Jenny A. Fisher, James W. Hannigan, Frank Hase, Yasuko Kasai, Emmanuel Mahieu, Maria Makarova, Isamu Morino, Tomoo Nagahama, Justus Notholt, Ivan Ortega, Mathias Palm, Anatoly V. Poberovskii, Ralf Sussmann, and Thorsten Warneke

Data sets

AERONET datasets Arosol Robotic Network https://aeronet.gsfc.nasa.gov/cgi-bin/draw_map_display_aod_v3

geoschem/geos-chem: GEOS-Chem 12.1.1 The International GEOS-Chem User Community https://doi.org/10.5281/zenodo.2249246

FLEXPART dispersion model Flexible Particle Model Developers https://www.flexpart.eu/downloads

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Short summary
This paper describes the use of a network of 10 Arctic and midlatitude ground-based FTIR measurement sites to detect enhancements of the wildfire tracers carbon monoxide, hydrogen cyanide, and ethane from 2003 to 2018. A tagged CO GEOS-Chem simulation is used for source attribution and to evaluate the relative contribution of CO sources to the FTIR measurements. The use of FTIR measurements allowed for the emission ratios of hydrogen cyanide and ethane to be quantified.
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