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

Simple item page
dc.contributor.authorShang, Xiaoxia
dc.contributor.authorLipponen, Antti
dc.contributor.authorFilioglou, Maria
dc.contributor.authorSundström, Anu-Maija
dc.contributor.authorParrington, Mark
dc.contributor.authorBuchard, Virginie
dc.contributor.authorDarmenov, Anton S.
dc.contributor.authorWelton, Ellsworth J.
dc.contributor.authorMarinou, Eleni
dc.contributor.authorAmiridis, Vassilis
dc.contributor.authorSicard, Michael
dc.contributor.authorRodríguez-Gómez, Alejandro
dc.contributor.authorKomppula, Mika
dc.contributor.authorMielonen, Tero
dc.date.accessioned2023-10-10T18:13:57Z
dc.date.available2023-10-10T18:13:57Z
dc.date.issued2023-09-15
dc.description.abstractIn May–June 2019, smoke plumes from wildfires in Alberta, Canada, were advected all the way to Europe. To analyze the evolution of the plumes and to estimate the amount of smoke aerosols transported to Europe, retrievals from the space-borne lidar CALIOP (Cloud-Aerosol Lidar with Orthogonal Polarization) were used. The plumes were located with the help of a trajectory analysis, and the mass of smoke aerosols were retrieved from the CALIOP observations. The accuracy of the CALIOP mass retrievals was compared with the accuracy of ground-based lidars/ceilometer near the source in North America and after the long-range transport in Europe. Overall, CALIOP and the ground-based lidars/ceilometer produced comparable results. Over North America the CALIOP layer mean mass was 30 % smaller than the ground-based estimates, whereas over Southern Europe that difference varied between 12 % and 43 %. Finally, the CALIOP mass retrievals were compared with simulated aerosol concentrations from two reanalysis models, MERRA-2 (Modern-Era Retrospective analysis for Research and Applications, Version 2) and CAMS (Copernicus Atmospheric Monitoring System). The simulated total column aerosol optical depths (AOD) and the total column mass concentration of smoke agreed quite well with CALIOP observations, but the comparison of the layer mass concentration of smoke showed significant discrepancies. The amount of smoke aerosols in the model simulations was consistently smaller than in the CALIOP retrievals. These results highlight the limitations of such models, and more specifically their limitation to reproduce properly the smoke vertical distribution. They indicate that CALIOP is a useful tool monitoring smoke plumes over secluded areas whereas reanalysis models have difficulties in representing the aerosol mass in these plumes. This study shows the advantages of space-borne aerosol lidars, e.g. being of paramount importance to monitor smoke plumes, and reveals the urgent need of future lidar missions in space.en_US
dc.description.sponsorshipThis work was supported by the Academy of Finland [grant number 339885], and the Atmosphere and Climate Competence Center ACCC Flagship, funded by the Academy of Finland [grant number 337552]. EW and the MPLNET project are funded by the NASA Radiation Sciences Program and Earth Observing System. This research was supported by data and services obtained from the PANhellenic Geophysical Observatory of Antikythera (PANGEA) of the National Observatory of Athens (NOA). EM was supported by the PANGEA4CalVal project [Grant Agreement 101079201] funded by the European Union. VA acknowledges the the Hellenic Foundation for Research and Innovation (Project Acronym: StratoFIRE, Project Number: 3995). MS was supported by the REALISTIC project [Grant Agreement 101086690] funded by the European Union. ARG was supported by the Agencia Estatal de Investigación [grant number PID2019-103886RB-I00], the H2020 Environment [grant numbers 871115 and 101008004] and the H2020 Excellent Science [grant number 778349] programs. We acknowledge ACTRIS, University of Granada, and the Finnish Meteorological Institute for providing the data set which is available for download from https://cloudnet.fmi.fi/. We acknowledge PollyNET for the data collection, calibration, processing and dissemination. We thank M_Map for the open source code for the map plots used in this paper (Pawlowicz, R., 2020. "M_Map: A mapping package for MATLAB", version 1.4m, [Computer software], available online at www.eoas.ubc.ca/~rich/map.html). The authors wish to acknowledge CSC – IT Center for Science, Finland, for computational resources.en_US
dc.description.urihttps://egusphere.copernicus.org/preprints/2023/egusphere-2023-1945/en_US
dc.format.extent25 pagesen_US
dc.genrejournal articlesen_US
dc.genrepreprintsen_US
dc.identifierdoi:10.13016/m2fubd-csry
dc.identifier.citationShang, X., Lipponen, A., Filioglou, M., Sundström, A.-M., Parrington, M., Buchard, V., Darmenov, A. S., Welton, E. J., Marinou, E., Amiridis, V., Sicard, M., Rodríguez-Gómez, A., Komppula, M., and Mielonen, T.: Monitoring biomass burning aerosol transport using CALIOP observations and reanalysis models: a Canadian wildfire event in 2019, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-1945, 2023.en_US
dc.identifier.urihttps://doi.org/10.5194/egusphere-2023-1945
dc.identifier.urihttp://hdl.handle.net/11603/30051
dc.language.isoen_USen_US
dc.publisherEGUen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC GESTAR II Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.en_US
dc.rightsPublic Domain Mark 1.0*
dc.rights.urihttp://creativecommons.org/publicdomain/mark/1.0/*
dc.titleMonitoring biomass burning aerosol transport using CALIOP observations and reanalysis models: a Canadian wildfire event in 2019en_US
dc.typeTexten_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
egusphere-2023-1945.pdf
Size:
7.46 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.56 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

UMBC GESTAR II
UMBC Faculty Collection