Articles | Volume 15, issue 4
https://doi.org/10.5194/acp-15-1647-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-15-1647-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
17 Feb 2015
Research article |
| 17 Feb 2015
Characterization of forest fire smoke event near Washington, DC in summer 2013 with multi-wavelength lidar
I. Veselovskii
CORRESPONDING AUTHOR
Physics Instrumentation Center of General Physics Institute, Troitsk, Moscow, Russia
D. N Whiteman
NASA Goddard Space Flight Center, Greenbelt, MD, USA
M. Korenskiy
Physics Instrumentation Center of General Physics Institute, Troitsk, Moscow, Russia
A. Suvorina
Physics Instrumentation Center of General Physics Institute, Troitsk, Moscow, Russia
A. Kolgotin
Physics Instrumentation Center of General Physics Institute, Troitsk, Moscow, Russia
A. Lyapustin
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Y. Wang
Universities Space Research Association, Columbia, MD, USA
M. Chin
NASA Goddard Space Flight Center, Greenbelt, MD, USA
H. Bian
Joint Center for Environmental Technology UMBC, Baltimore, MD, USA
T. L. Kucsera
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Universities Space Research Association, Columbia, MD, USA
D. Pérez-Ramírez
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Universities Space Research Association, Columbia, MD, USA
B. Holben
NASA Goddard Space Flight Center, Greenbelt, MD, USA
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40 citations as recorded by crossref.
- Atmospheric Aerosol Measurement Using High-Spectral-Resolution Lidar Methods Y. JIN 10.2184/lsj.48.11_585
- Assessment of urban aerosol pollution over the Moscow megacity by the MAIAC aerosol product E. Zhdanova et al. 10.5194/amt-13-877-2020
- Multi year aerosol characterization in the tropical Andes and in adjacent Amazonia using AERONET measurements D. Pérez-Ramírez et al. 10.1016/j.atmosenv.2017.07.037
- Biomass Burning Smoke Climatology of the United States: Implications for Particulate Matter Air Quality A. Kaulfus et al. 10.1021/acs.est.7b03292
- Spatiotemporal changes in aerosol properties by hygroscopic growth and impacts on radiative forcing and heating rates during DISCOVER-AQ 2011 D. Pérez-Ramírez et al. 10.5194/acp-21-12021-2021
- High temporal resolution estimates of columnar aerosol microphysical parameters from spectrum of aerosol optical depth by linear estimation: application to long-term AERONET and star-photometry measurements D. Pérez-Ramírez et al. 10.5194/amt-8-3117-2015
- Implementation of Rotational Raman Channel in Multiwavelength Aerosol Lidar to Improve Measurements of Particle Extinction and Backscattering at 532 NM I. Veselovskii et al. 10.1051/epjconf/201611917002
- Tropospheric and stratospheric wildfire smoke profiling with lidar: mass, surface area, CCN, and INP retrieval A. Ansmann et al. 10.5194/acp-21-9779-2021
- Towards Early Detection of Tropospheric Aerosol Layers Using Monitoring with Ceilometer, Photometer, and Air Mass Trajectories M. Adam et al. 10.3390/rs14051217
- Fluorescence lidar observations of wildfire smoke inside cirrus: a contribution to smoke–cirrus interaction research I. Veselovskii et al. 10.5194/acp-22-5209-2022
- Aerosol mass scattering efficiencies and single scattering albedo under high mass loading in Chiang Mai valley, Thailand S. Pani et al. 10.1016/j.atmosenv.2023.119867
- MAIAC Thermal Technique for Smoke Injection Height From MODIS A. Lyapustin et al. 10.1109/LGRS.2019.2936332
- Temporal variations in optical and microphysical properties of mineral dust and biomass burning aerosol derived from daytime Raman lidar observations over Warsaw, Poland L. Janicka et al. 10.1016/j.atmosenv.2017.09.022
- Biomass burning events measured by lidars in EARLINET – Part 1: Data analysis methodology M. Adam et al. 10.5194/acp-20-13905-2020
- Target categorization of aerosol and clouds by continuous multiwavelength-polarization lidar measurements H. Baars et al. 10.5194/amt-10-3175-2017
- The impacts of transported wildfire smoke aerosols on surface air quality in New York State: A case study in summer 2018 W. Hung et al. 10.1016/j.atmosenv.2020.117415
- Using Raman-lidar-based regularized microphysical retrievals and Aerosol Mass Spectrometer measurements for the characterization of biomass burning aerosols S. Samaras et al. 10.1016/j.jcp.2015.06.045
- Microphysical characterization of long-range transported biomass burning particles from North America at three EARLINET stations P. Ortiz-Amezcua et al. 10.5194/acp-17-5931-2017
- On the use of light polarization to investigate the size, shape, and refractive index dependence of backscattering Ångström exponents A. Miffre et al. 10.1364/OL.385107
- Retrieval of Aged Biomass-Burning Aerosol Properties by Using GRASP Code in Synergy with Polarized Micro-Pulse Lidar and Sun/Sky Photometer M. López-Cayuela et al. 10.3390/rs14153619
- Retrievals of aerosol single scattering albedo by multiwavelength lidar measurements: Evaluations with NASA Langley HSRL-2 during discover-AQ field campaigns D. Pérez-Ramírez et al. 10.1016/j.rse.2018.12.022
- A Novel Arc Fault Detector for Early Detection of Electrical Fires K. Yang et al. 10.3390/s16040500
- Investigating the size, shape and surface roughness dependence of polarization lidars with light-scattering computations on real mineral dust particles: Application to dust particles' external mixtures and dust mass concentration retrievals T. Mehri et al. 10.1016/j.atmosres.2017.11.027
- Retrieval of aerosol profiles combining sunphotometer and ceilometer measurements in GRASP code R. Román et al. 10.1016/j.atmosres.2018.01.021
- Modification of Local Urban Aerosol Properties by Long-Range Transport of Biomass Burning Aerosol I. Stachlewska et al. 10.3390/rs10030412
- This is FAST: multivariate Full-permutAtion based Stochastic foresT method—improving the retrieval of fine-mode aerosol microphysical properties with multi-wavelength lidar N. Wang et al. 10.1016/j.rse.2022.113226
- Optical characterization of pure pollen types using a multi-wavelength Raman polarization lidar X. Shang et al. 10.5194/acp-20-15323-2020
- Retrieval of optical and physical properties of African dust from multiwavelength Raman lidar measurements during the SHADOW campaign in Senegal I. Veselovskii et al. 10.5194/acp-16-7013-2016
- Retrievals of aerosol microphysics from simulations of spaceborne multiwavelength lidar measurements D. Whiteman et al. 10.1016/j.jqsrt.2017.09.009
- Transport of Canadian forest fire smoke over the UK as observed by lidar G. Vaughan et al. 10.5194/acp-18-11375-2018
- Sensitivity of Particle Extinction and Backscattering Calculation from Mie-Raman Lidar Measurements to the Choice of Ångström Exponent A. Suvorina et al. 10.1051/epjconf/201611923019
- Depolarization and lidar ratios at 355, 532, and 1064 nm and microphysical properties of aged tropospheric and stratospheric Canadian wildfire smoke M. Haarig et al. 10.5194/acp-18-11847-2018
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- Mie–Raman–fluorescence lidar observations of aerosols during pollen season in the north of France I. Veselovskii et al. 10.5194/amt-14-4773-2021
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- Automated time–height-resolved air mass source attribution for profiling remote sensing applications M. Radenz et al. 10.5194/acp-21-3015-2021
- Aerosol Characterization during the Summer 2017 Huge Fire Event on Mount Vesuvius (Italy) by Remote Sensing and In Situ Observations A. Boselli et al. 10.3390/rs13102001
- Identification of typical dust sources in Tarim Basin based on multi-wavelength Raman polarization lidar H. Wang et al. 10.1016/j.atmosenv.2022.119358
- Long term observations of biomass burning aerosol over Warsaw by means of multiwavelength lidar L. Janicka et al. 10.1364/OE.496794
- Characterization of Extremely Fresh Biomass Burning Aerosol by Means of Lidar Observations B. De Rosa et al. 10.3390/rs14194984
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Latest update: 29 Jun 2024
Short summary
The multi-wavelength lidar technique was applied to the study of a smoke event near Washington, DC on 26-28 August 2013. Satellite observations combined with transport model predictions imply that the smoke plume originated mainly from Wyoming/Idaho forest fires. The NASA GSFC multi-wavelength Mie-Raman lidar was used to profile the smoke particle parameters such as volume density, effective radius and the real part of the refractive index.
The multi-wavelength lidar technique was applied to the study of a smoke event near Washington,...
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