Monitoring biomass burning aerosol transport using CALIOP observations and reanalysis models: a Canadian wildfire event in 2019

Shang, Xiaoxia; Lipponen, Antti; Filioglou, Maria; Sundström, Anu-Maija; Parrington, Mark; Buchard, Virginie; Darmenov, Anton S.; Welton, Ellsworth J.; Marinou, Eleni; Amiridis, Vassilis; Sicard, Michael; Rodríguez-Gómez, Alejandro; Komppula, Mika; Mielonen, Tero

doi:https://doi.org/10.5194/acp-24-1329-2024

Articles | Volume 24, issue 2

https://doi.org/10.5194/acp-24-1329-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-24-1329-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 24, issue 2

Research article

|

30 Jan 2024

Research article |

| 30 Jan 2024

Monitoring biomass burning aerosol transport using CALIOP observations and reanalysis models: a Canadian wildfire event in 2019

Xiaoxia Shang, Antti Lipponen, Maria Filioglou, Anu-Maija Sundström, Mark Parrington, Virginie Buchard, Anton S. Darmenov, Ellsworth J. Welton, Eleni Marinou, Vassilis Amiridis, Michael Sicard, Alejandro Rodríguez-Gómez, Mika Komppula, and Tero Mielonen

Data sets

CALIPSO data NASA Langley Research Center Atmospheric Science Data Center https://subset.larc.nasa.gov/calipso/

MERRA-2 data NASA Goddard Earth Sciences (GES) Data and Information Services Center (DISC) https://disc.gsfc.nasa.gov/datasets?project=MERRA-2

MPLNET data MPLNET https://mplnet.gsfc.nasa.gov/download_tool/

Ceilometer data Cloudnet https://cloudnet.fmi.fi/

CAMS Global Atmospheric Composition Forecasts Atmosphere Data Store https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-global-atmospheric-composition-forecasts

Visualization of Lidar Products PollyNET https://polly.tropos.de/datavis/location/38/19/1?dates=[2019-06-08T00:00:00,2019-06-09T00:00:00]

Lidar data from Grenada on 6 June 2019 A. Cazorla Cabrera and L. Alados-Arboledas https://hdl.handle.net/21.12132/1.155df385c4b14cd0

Model code and software

Example of a custom trajectory model run for aerosol layers Antti Lipponen https://doi.org/10.5281/zenodo.10567637

M_Map: A mapping package for MATLAB, version 1.4m R. Pawlowicz https://www.eoas.ubc.ca/~rich/map.html

Short summary

In June 2019, smoke particles from a Canadian wildfire event were transported to Europe. The long-range-transported smoke plumes were monitored with a spaceborne lidar and reanalysis models. Based on the aerosol mass concentrations estimated from the observations, the reanalysis models had difficulties in reproducing the amount and location of the smoke aerosols during the transport event. Consequently, more spaceborne lidar missions are needed for reliable monitoring of aerosol plumes.