Articles | Volume 6, issue 11
https://doi.org/10.5194/amt-6-3039-2013
© Author(s) 2013. 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-6-3039-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Effects of systematic and random errors on the retrieval of particle microphysical properties from multiwavelength lidar measurements using inversion with regularization
D. Pérez-Ramírez
Departamento de Física Aplicada, Universidad de Granada, Campus de Fuentenueva s/n, 18071 Granada, Spain
Centro Andaluz de Medio Ambiente (CEAMA), Universidad de Granada, Junta de Andalucía, Av. del Mediterráneo s/n, 18006 Granada, Spain
Mesoscale Atmospheric Processes Laboratory, NASA Goddard Space Flight Center, Greenbelt, 20771, Maryland, USA
D. N. Whiteman
Mesoscale Atmospheric Processes Laboratory, NASA Goddard Space Flight Center, Greenbelt, 20771, Maryland, USA
I. Veselovskii
Physics Instrumentation Center of General Physics Institute, Troitsk, Moscow Region, 142190, Russia
A. Kolgotin
Physics Instrumentation Center of General Physics Institute, Troitsk, Moscow Region, 142190, Russia
M. Korenskiy
Physics Instrumentation Center of General Physics Institute, Troitsk, Moscow Region, 142190, Russia
L. Alados-Arboledas
Departamento de Física Aplicada, Universidad de Granada, Campus de Fuentenueva s/n, 18071 Granada, Spain
Centro Andaluz de Medio Ambiente (CEAMA), Universidad de Granada, Junta de Andalucía, Av. del Mediterráneo s/n, 18006 Granada, Spain
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- 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
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- ORACLES Campaign, September 2016: Inversion of HSRL-2 Observations with Regularization Algorithm into Particle Microphysical Parameters and Comparison to Airborne In-Situ Data A. Kolgotin et al. 10.3390/atmos14111661
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- 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
- Characterization of forest fire smoke event near Washington, DC in summer 2013 with multi-wavelength lidar I. Veselovskii et al. 10.5194/acp-15-1647-2015
- Aerosol optical and microphysical retrievals from a hybrid multiwavelength lidar data set – DISCOVER-AQ 2011 P. Sawamura et al. 10.5194/amt-7-3095-2014
- About the effects of polarising optics on lidar signals and the Δ90 calibration V. Freudenthaler 10.5194/amt-9-4181-2016
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- 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
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- 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 Modified Look-Up Table Based Algorithm with a Self-Posed Scheme for Fine-Mode Aerosol Microphysical Properties Inversion by Multi-Wavelength Lidar Z. Zhou et al. 10.3390/rs16132265
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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
- 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
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Latest update: 21 Nov 2024