Articles | Volume 15, issue 1
https://doi.org/10.5194/amt-15-149-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-149-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A Bayesian parametric approach to the retrieval of the atmospheric number size distribution from lidar data
Alberto Sorrentino
CORRESPONDING AUTHOR
Dipartimento di Matematica, Università di Genova, Genova, Italy
Alessia Sannino
Dipartimento di Fisica, Università di Napoli Federico II, Napoli, Italy
Nicola Spinelli
Dipartimento di Fisica, Università di Napoli Federico II, Napoli, Italy
Michele Piana
Dipartimento di Matematica, Università di Genova, Genova, Italy
Antonella Boselli
CNR-IMAA, Potenza, Italy
Valentino Tontodonato
ALA Srl Advanced Lidar Applications, Napoli, Italy
Pasquale Castellano
ALA Srl Advanced Lidar Applications, Napoli, Italy
Xuan Wang
CNR-SPIN, Napoli, Italy
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Cited
13 citations as recorded by crossref.
- Improvement of Aerosol Coarse-Mode Detection through Additional Use of Infrared Wavelengths in the Inversion of Arctic Lidar Data C. Böckmann et al. 10.3390/rs16091576
- Activation Energies in MoSi/Al Superconducting Nanowire Single-Photon Detectors D. Salvoni et al. 10.1103/PhysRevApplied.18.014006
- 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
- Lidar Optical and Microphysical Characterization of Tropospheric and Stratospheric Fire Smoke Layers Due to Canadian Wildfires Passing over Naples (Italy) R. Damiano et al. 10.3390/rs16030538
- Profiling of Aerosols and Clouds over High Altitude Urban Atmosphere in Eastern Himalaya: A Ground-Based Observation Using Raman LIDAR T. Bhattacharyya et al. 10.3390/atmos14071102
- Lidar-Derived Aerosol Properties from Ny-Ålesund, Svalbard during the MOSAiC Spring 2020 J. Dube et al. 10.3390/rs14112578
- A Bayesian approach for the retrieval of atmospheric particle properties from lidar data with uncertainty quantification G. Varini et al. 10.1088/1361-6420/adf003
- 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
- Polarization Lidar: Principles and Applications X. Liu et al. 10.3390/photonics10101118
- Understanding Aerosol–Cloud Interactions through Lidar Techniques: A Review F. Cairo et al. 10.3390/rs16152788
- Modeling a Spheroidal Particle Ensemble and Inversion by Generalized Runge–Kutta Regularizers from Limited Data S. Samaras et al. 10.3390/appliedmath2040032
- Air Quality Improvement Following the COVID-19 Pandemic Lockdown in Naples, Italy: A Comparative Analysis (2018–2022) A. Sannino et al. 10.3390/environments11080167
- Simultaneous Inversion of the Complex Refraction Index and the Particle Size Distribution of Nonspherical Aerosol Particles Using Latin Hypercube Sampling Method S. Gao et al. 10.1109/TGRS.2025.3592656
13 citations as recorded by crossref.
- Improvement of Aerosol Coarse-Mode Detection through Additional Use of Infrared Wavelengths in the Inversion of Arctic Lidar Data C. Böckmann et al. 10.3390/rs16091576
- Activation Energies in MoSi/Al Superconducting Nanowire Single-Photon Detectors D. Salvoni et al. 10.1103/PhysRevApplied.18.014006
- 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
- Lidar Optical and Microphysical Characterization of Tropospheric and Stratospheric Fire Smoke Layers Due to Canadian Wildfires Passing over Naples (Italy) R. Damiano et al. 10.3390/rs16030538
- Profiling of Aerosols and Clouds over High Altitude Urban Atmosphere in Eastern Himalaya: A Ground-Based Observation Using Raman LIDAR T. Bhattacharyya et al. 10.3390/atmos14071102
- Lidar-Derived Aerosol Properties from Ny-Ålesund, Svalbard during the MOSAiC Spring 2020 J. Dube et al. 10.3390/rs14112578
- A Bayesian approach for the retrieval of atmospheric particle properties from lidar data with uncertainty quantification G. Varini et al. 10.1088/1361-6420/adf003
- 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
- Polarization Lidar: Principles and Applications X. Liu et al. 10.3390/photonics10101118
- Understanding Aerosol–Cloud Interactions through Lidar Techniques: A Review F. Cairo et al. 10.3390/rs16152788
- Modeling a Spheroidal Particle Ensemble and Inversion by Generalized Runge–Kutta Regularizers from Limited Data S. Samaras et al. 10.3390/appliedmath2040032
- Air Quality Improvement Following the COVID-19 Pandemic Lockdown in Naples, Italy: A Comparative Analysis (2018–2022) A. Sannino et al. 10.3390/environments11080167
- Simultaneous Inversion of the Complex Refraction Index and the Particle Size Distribution of Nonspherical Aerosol Particles Using Latin Hypercube Sampling Method S. Gao et al. 10.1109/TGRS.2025.3592656
Latest update: 20 Aug 2025
Short summary
We present a novel approach that can be used to obtain microphysical properties of atmospheric aerosol, up to several kilometers in the atmosphere, from lidar measurements taken from the ground. Our approach provides accurate reconstructions under many different experimental conditions. Our results can contribute to the expansion of the use of remote sensing techniques for air quality monitoring and atmospheric science in general.
We present a novel approach that can be used to obtain microphysical properties of atmospheric...