Articles | Volume 21, issue 12
https://doi.org/10.5194/acp-21-9779-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-9779-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Tropospheric and stratospheric wildfire smoke profiling with lidar: mass, surface area, CCN, and INP retrieval
Albert Ansmann
CORRESPONDING AUTHOR
Leibniz Institute for Tropospheric Research, Leipzig, Germany
Kevin Ohneiser
Leibniz Institute for Tropospheric Research, Leipzig, Germany
Rodanthi-Elisavet Mamouri
Department of Civil Engineering and Geomatics, Cyprus University of Technology, Limassol, Cyprus
ERATOSTHENES Center of Excellence, Limassol, Cyprus
Daniel A. Knopf
School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY 11794-5000, USA
Igor Veselovskii
Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia
Holger Baars
Leibniz Institute for Tropospheric Research, Leipzig, Germany
Ronny Engelmann
Leibniz Institute for Tropospheric Research, Leipzig, Germany
Andreas Foth
Leipzig Institute for Meteorology, University of Leipzig, Leipzig, Germany
Cristofer Jimenez
Leibniz Institute for Tropospheric Research, Leipzig, Germany
Patric Seifert
Leibniz Institute for Tropospheric Research, Leipzig, Germany
Boris Barja
Atmospheric Research Laboratory, University of Magallanes, Punta Arenas, Chile
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- EUNADICS-AV early warning system dedicated to supporting aviation in the case of a crisis from natural airborne hazards and radionuclide clouds H. Brenot et al. 10.5194/nhess-21-3367-2021
- Annual cycle of aerosol properties over the central Arctic during MOSAiC 2019–2020 – light-extinction, CCN, and INP levels from the boundary layer to the tropopause A. Ansmann et al. 10.5194/acp-23-12821-2023
- Estimating cloud condensation nuclei concentrations from CALIPSO lidar measurements G. Choudhury & M. Tesche 10.5194/amt-15-639-2022
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- CALIPSO Aerosol-Typing Scheme Misclassified Stratospheric Fire Smoke: Case Study From the 2019 Siberian Wildfire Season A. Ansmann et al. 10.3389/fenvs.2021.769852
- Measurements of Aerosol Size and Microphysical Properties: A Comparison Between Raman Lidar and Airborne Sensors P. Di Girolamo et al. 10.1029/2021JD036086
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- Australian Bushfires (2019–2020): Aerosol Optical Properties and Radiative Forcing C. Papanikolaou et al. 10.3390/atmos13060867
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- Australian wildfire smoke in the stratosphere: the decay phase in 2020/2021 and impact on ozone depletion K. Ohneiser et al. 10.5194/acp-22-7417-2022
- Retrieval and analysis of the composition of an aerosol mixture through Mie–Raman–fluorescence lidar observations I. Veselovskii et al. 10.5194/amt-17-4137-2024
- Evaluation of aerosol number concentrations from CALIPSO with ATom airborne in situ measurements G. Choudhury et al. 10.5194/acp-22-7143-2022
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Latest update: 05 Dec 2024
Short summary
We present retrievals of tropospheric and stratospheric height profiles of particle mass, volume, surface area concentration of wildfire smoke layers, and related cloud condensation nuclei (CCN) and ice-nucleating particle (INP) concentrations. The new analysis scheme is applied to ground-based lidar observations of stratospheric Australian smoke over southern South America and to spaceborne lidar observations of tropospheric North American smoke.
We present retrievals of tropospheric and stratospheric height profiles of particle mass,...
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