Ground/space, passive/active remote sensing observations coupled with particle dispersion modelling to understand the inter-continental transport of wildfire smoke plumes
M. Sicard, M. J. Granados-Munoz, L. Alados-Arboledas, R. Barragan,, A.E. Bedoya-Velasquez, J.A. Benavent-Oltra, D. Bortoli, A. Comeron, C., Cordoba-Jabonero, M. J. Costa, A. del Aguila, A. J. Fernandez, J.L., Guerrero-Rascado, O. Jorba, F. Molero, C. Munoz-Porcar

TL;DR
This study combines satellite, ground lidar, and particle dispersion models to analyze intercontinental wildfire smoke transport from North America to Europe during 2017, revealing detailed aerosol properties and vertical distribution.
Contribution
It integrates multiple remote sensing observations with dispersion modeling to improve understanding of wildfire smoke intercontinental transport and aerosol characteristics.
Findings
Smoke reached Iberian Peninsula a few days after North American fires.
Smoke particles were observed in the stratosphere and troposphere during transport.
Particle properties varied with altitude and time, indicating different sedimentation and transport processes.
Abstract
During the 2017 record-breaking burning season in Canada / United States, intense wild fires raged during the first week of September in the Pacific northwestern region (British Columbia, Alberta, Washington, Oregon, Idaho, Montana and northern California) burning mostly temperate coniferous forests. The heavy loads of smoke particles emitted in the atmosphere reached the Iberian Peninsula (IP) a few days later on 7 and 8 September. Satellite imagery allows to identify two main smoke clouds emitted during two different periods that were injected and transported in the atmosphere at several altitude levels. Columnar properties on 7 and 8 September at two Aerosol Robotic Network (AERONET) mid-altitude, background sites in northern and southern Spain are: aerosol optical depth (AOD) at 440 nm up to 0.62, Angstrom exponent of 1.6-1.7, large dominance of small particles (fine mode fraction >…
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