Articles | Volume 9, issue 11
Atmos. Meas. Tech., 9, 5555–5574, 2016
https://doi.org/10.5194/amt-9-5555-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Atmos. Meas. Tech., 9, 5555–5574, 2016
https://doi.org/10.5194/amt-9-5555-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
22 Nov 2016
Research article
| 22 Nov 2016
Information content and sensitivity of the 3β + 2α lidar measurement system for aerosol microphysical retrievals
Sharon P. Burton et al.
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Cited
30 citations as recorded by crossref.
- Ambient Aerosol Hygroscopic Growth From Combined Raman Lidar and HSRL K. Dawson et al. 10.1029/2019JD031708
- Is the near-spherical shape the “new black” for smoke? A. Gialitaki et al. 10.5194/acp-20-14005-2020
- Retrieval of aerosol microphysical properties from atmospheric lidar sounding: an investigation using synthetic measurements and data from the ACEPOL campaign W. McLean et al. 10.5194/amt-14-4755-2021
- Constraining the Twomey effect from satellite observations: issues and perspectives J. Quaas et al. 10.5194/acp-20-15079-2020
- Simultaneous Reconstruction of the Complex Refractive Index and the Particle Size Distribution Function from Lidar Measurements: Testing the Developed Algorithms S. Samoilova 10.1134/S1024856019060137
- 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
- Automated, unsupervised inversion of multiwavelength lidar data with TiARA: assessment of retrieval performance of microphysical parameters using simulated data D. Müller et al. 10.1364/AO.58.004981
- A Bayesian parametric approach to the retrieval of the atmospheric number size distribution from lidar data A. Sorrentino et al. 10.5194/amt-15-149-2022
- 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
- Retrievals of aerosol microphysics from simulations of spaceborne multiwavelength lidar measurements D. Whiteman et al. 10.1016/j.jqsrt.2017.09.009
- Calibration of a high spectral resolution lidar using a Michelson interferometer, with data examples from ORACLES S. Burton et al. 10.1364/AO.57.006061
- Information content of bistatic lidar observations of aerosols from space M. Alexandrov & M. Mishchenko 10.1364/OE.25.00A134
- Optical and microphysical characterization of atmospheric aerosol in the Central Mediterranean during simultaneous volcanic ash and desert dust transport events A. Sannino et al. 10.1016/j.atmosres.2022.106099
- Polarization lidar for detecting dust orientation: system design and calibration A. Tsekeri et al. 10.5194/amt-14-7453-2021
- 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
- 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
- Method to retrieve cloud condensation nuclei number concentrations using lidar measurements W. Tan et al. 10.5194/amt-12-3825-2019
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- Extinction-related Angström exponent characterization of submicrometric volume fraction in atmospheric aerosol particles A. Quirantes et al. 10.1016/j.atmosres.2019.06.009
- Characterization of smoke and dust episode over West Africa: comparison of MERRA-2 modeling with multiwavelength Mie–Raman lidar observations I. Veselovskii et al. 10.5194/amt-11-949-2018
- Efficient multi-angle polarimetric inversion of aerosols and ocean color powered by a deep neural network forward model M. Gao et al. 10.5194/amt-14-4083-2021
- Retrieval of aerosol microphysical parameters based on a few optical parameters from lidar S. Li et al. 10.1002/mop.33131
- Modelling optical properties of atmospheric black carbon aerosols M. Kahnert & F. Kanngießer 10.1016/j.jqsrt.2020.106849
- Optimized profile retrievals of aerosol microphysical properties from simulated spaceborne multiwavelength Lidar D. Pérez-Ramírez et al. 10.1016/j.jqsrt.2020.106932
- The impact of lidar detection sensitivity on assessing aerosol direct radiative effects T. Thorsen et al. 10.1002/2017GL074521
- (UV, VIS) Laboratory evaluation of the lidar depolarization ratio of freshly emitted soot aggregates from pool fire in ambient air at exact backscattering angle L. Paulien et al. 10.1016/j.jqsrt.2020.107451
- Potential Retrieval of Aerosol Microphysics From Multistatic Space-Borne Lidar N. Levitan et al. 10.1051/epjconf/201817605017
- Information constraints in variational data assimilation M. Kahnert 10.1002/qj.3347
- Combined use of Mie–Raman and fluorescence lidar observations for improving aerosol characterization: feasibility experiment I. Veselovskii et al. 10.5194/amt-13-6691-2020
- How much information do extinction and backscattering measurements contain about the chemical composition of atmospheric aerosol? M. Kahnert & E. Andersson 10.5194/acp-17-3423-2017
30 citations as recorded by crossref.
- Ambient Aerosol Hygroscopic Growth From Combined Raman Lidar and HSRL K. Dawson et al. 10.1029/2019JD031708
- Is the near-spherical shape the “new black” for smoke? A. Gialitaki et al. 10.5194/acp-20-14005-2020
- Retrieval of aerosol microphysical properties from atmospheric lidar sounding: an investigation using synthetic measurements and data from the ACEPOL campaign W. McLean et al. 10.5194/amt-14-4755-2021
- Constraining the Twomey effect from satellite observations: issues and perspectives J. Quaas et al. 10.5194/acp-20-15079-2020
- Simultaneous Reconstruction of the Complex Refractive Index and the Particle Size Distribution Function from Lidar Measurements: Testing the Developed Algorithms S. Samoilova 10.1134/S1024856019060137
- 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
- Automated, unsupervised inversion of multiwavelength lidar data with TiARA: assessment of retrieval performance of microphysical parameters using simulated data D. Müller et al. 10.1364/AO.58.004981
- A Bayesian parametric approach to the retrieval of the atmospheric number size distribution from lidar data A. Sorrentino et al. 10.5194/amt-15-149-2022
- 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
- Retrievals of aerosol microphysics from simulations of spaceborne multiwavelength lidar measurements D. Whiteman et al. 10.1016/j.jqsrt.2017.09.009
- Calibration of a high spectral resolution lidar using a Michelson interferometer, with data examples from ORACLES S. Burton et al. 10.1364/AO.57.006061
- Information content of bistatic lidar observations of aerosols from space M. Alexandrov & M. Mishchenko 10.1364/OE.25.00A134
- Optical and microphysical characterization of atmospheric aerosol in the Central Mediterranean during simultaneous volcanic ash and desert dust transport events A. Sannino et al. 10.1016/j.atmosres.2022.106099
- Polarization lidar for detecting dust orientation: system design and calibration A. Tsekeri et al. 10.5194/amt-14-7453-2021
- 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
- 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
- Method to retrieve cloud condensation nuclei number concentrations using lidar measurements W. Tan et al. 10.5194/amt-12-3825-2019
- Simultaneous reconstruction of two microphysical aerosol characteristics from the lidar data S. Samoilova et al. 10.1016/j.jqsrt.2018.10.014
- Extinction-related Angström exponent characterization of submicrometric volume fraction in atmospheric aerosol particles A. Quirantes et al. 10.1016/j.atmosres.2019.06.009
- Characterization of smoke and dust episode over West Africa: comparison of MERRA-2 modeling with multiwavelength Mie–Raman lidar observations I. Veselovskii et al. 10.5194/amt-11-949-2018
- Efficient multi-angle polarimetric inversion of aerosols and ocean color powered by a deep neural network forward model M. Gao et al. 10.5194/amt-14-4083-2021
- Retrieval of aerosol microphysical parameters based on a few optical parameters from lidar S. Li et al. 10.1002/mop.33131
- Modelling optical properties of atmospheric black carbon aerosols M. Kahnert & F. Kanngießer 10.1016/j.jqsrt.2020.106849
- Optimized profile retrievals of aerosol microphysical properties from simulated spaceborne multiwavelength Lidar D. Pérez-Ramírez et al. 10.1016/j.jqsrt.2020.106932
- The impact of lidar detection sensitivity on assessing aerosol direct radiative effects T. Thorsen et al. 10.1002/2017GL074521
- (UV, VIS) Laboratory evaluation of the lidar depolarization ratio of freshly emitted soot aggregates from pool fire in ambient air at exact backscattering angle L. Paulien et al. 10.1016/j.jqsrt.2020.107451
- Potential Retrieval of Aerosol Microphysics From Multistatic Space-Borne Lidar N. Levitan et al. 10.1051/epjconf/201817605017
- Information constraints in variational data assimilation M. Kahnert 10.1002/qj.3347
- Combined use of Mie–Raman and fluorescence lidar observations for improving aerosol characterization: feasibility experiment I. Veselovskii et al. 10.5194/amt-13-6691-2020
- How much information do extinction and backscattering measurements contain about the chemical composition of atmospheric aerosol? M. Kahnert & E. Andersson 10.5194/acp-17-3423-2017
Latest update: 08 Aug 2022
Short summary
Retrievals of aerosol microphysics exist for ground-based, airborne, and future space-borne lidar measurements. We investigate the information content of a lidar measurement system, using only a forward model but no explicit inversion. The simplified aerosol used here is applicable as a best case for all retrievals in the absence of additional constraints. We report (1) information content of the measurements; (2) uncertainties on the retrieved parameters; and (3) sources of compensating errors.
Retrievals of aerosol microphysics exist for ground-based, airborne, and future space-borne...
