Articles | Volume 9, issue 11
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.
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
CORRESPONDING AUTHOR
NASA Langley Research Center, Hampton, VA, USA
Eduard Chemyakin
Science Systems and Applications, Inc., Hampton, VA, USA
NASA Langley Research Center, Hampton, VA, USA
Kirk Knobelspiesse
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Snorre Stamnes
NASA Langley Research Center, Hampton, VA, USA
Patricia Sawamura
Universities Space Research Association, Columbia, MD, USA
Richard H. Moore
NASA Langley Research Center, Hampton, VA, USA
Chris A. Hostetler
NASA Langley Research Center, Hampton, VA, USA
Richard A. Ferrare
NASA Langley Research Center, Hampton, VA, USA
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- Investigating the dependence of mineral dust depolarization on complex refractive index and size with a laboratory polarimeter at 180.0° lidar backscattering angle A. Miffre et al. 10.5194/amt-16-403-2023
- Polarization lidar for detecting dust orientation: system design and calibration A. Tsekeri et al. 10.5194/amt-14-7453-2021
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- 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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- 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
- A remote sensing algorithm for vertically resolved cloud condensation nuclei number concentrations from airborne and spaceborne lidar observations P. Patel et al. 10.5194/acp-24-2861-2024
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- Upgraded Three-Wavelength Lidar for Real-Time Observations of Volcanic Aerosol Optical and Microphysical Properties at Etna (Italy): Calibration Procedures and Measurement Tests M. Manzo et al. 10.3390/s24061762
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- Retrievals of aerosol microphysics from simulations of spaceborne multiwavelength lidar measurements D. Whiteman et al. 10.1016/j.jqsrt.2017.09.009
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- Optimized profile retrievals of aerosol microphysical properties from simulated spaceborne multiwavelength Lidar D. Pérez-Ramírez et al. 10.1016/j.jqsrt.2020.106932
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- Potential Retrieval of Aerosol Microphysics From Multistatic Space-Borne Lidar N. Levitan et al. 10.1051/epjconf/201817605017
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- Particle Microphysical Parameters and the Complex Refractive Index from 3β + 2α HSRL/Raman Lidar Measurements: Conditions of Accurate Retrieval, Retrieval Uncertainties and Constraints to Suppress the Uncertainties A. Kolgotin et al. 10.3390/atmos14071159
Latest update: 02 Nov 2024
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...
