Articles | Volume 8, issue 6
https://doi.org/10.5194/amt-8-2625-2015
© 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/amt-8-2625-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
29 Jun 2015
Research article |
| 29 Jun 2015
Aerosol retrieval from multiangle, multispectral photopolarimetric measurements: importance of spectral range and angular resolution
School of Computer and Information, Hefei University of Technology, Hefei, Anhui 230009, China
SRON Netherlands Institute for Space Research, Sorbonnelaan 2, 3584 CA Utrecht, the Netherlands
O. Hasekamp
SRON Netherlands Institute for Space Research, Sorbonnelaan 2, 3584 CA Utrecht, the Netherlands
B. van Diedenhoven
NASA Goddard Institute for Space Studies, New York, NY, USA
Columbia University, Center for Climate System Research, New York, NY, USA
B. Cairns
NASA Goddard Institute for Space Studies, New York, NY, USA
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- Retrieving Aerosol Characteristics From the PACE Mission, Part 2: Multi-Angle and Polarimetry L. Remer et al. https://doi.org/10.3389/fenvs.2019.00094
- Quantitative Assessment of the Uncertainty in Aerosol Optical Property Inversion due to Different Surface Reflection Models H. Zhang et al. https://doi.org/10.34133/remotesensing.0637
- Retrieval of aerosol properties and water-leaving reflectance from multi-angular polarimetric measurements over coastal waters M. Gao et al. https://doi.org/10.1364/OE.26.008968
- An improved algorithm for retrieving high resolution fine-mode aerosol based on polarized satellite data: Application and validation for POLDER-3 B. Ge et al. https://doi.org/10.1016/j.rse.2020.111894
- Simultaneous Aerosol and Ocean Properties From the PolCube CubeSat Polarimeter S. Stamnes et al. https://doi.org/10.3389/frsen.2021.709040
- Aerosol retrieval study from multiangle polarimetric satellite data based on optimal estimation method F. Zheng et al. https://doi.org/10.1117/1.JRS.14.014516
- Planning, implementation, and scientific goals of the Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS) field mission O. Toon et al. https://doi.org/10.1002/2015JD024297
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- Influence of 3D effects on 1D aerosol retrievals in synthetic, partially clouded scenes F. Stap et al. https://doi.org/10.1016/j.jqsrt.2015.10.008
- Aerosol measurements by SPEXone on the NASA PACE mission: expected retrieval capabilities O. Hasekamp et al. https://doi.org/10.1016/j.jqsrt.2019.02.006
- Simultaneous retrieval of aerosol and ocean properties from PACE HARP2 with uncertainty assessment using cascading neural network radiative transfer models M. Gao et al. https://doi.org/10.5194/amt-16-5863-2023
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- A Combined Lidar-Polarimeter Inversion Approach for Aerosol Remote Sensing Over Ocean F. Xu et al. https://doi.org/10.3389/frsen.2021.620871
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- Water vapor retrieval using the Airborne Multiangle SpectroPolarimetric Imager F. Xu & D. Diner https://doi.org/10.1016/j.jqsrt.2021.107610
- The polarization crossfire (PCF) sensor suite focusing on satellite remote sensing of fine particulate matter PM2.5 from space Z. Li et al. https://doi.org/10.1016/j.jqsrt.2022.108217
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- Efficient multi-angle polarimetric inversion of aerosols and ocean color powered by a deep neural network forward model M. Gao et al. https://doi.org/10.5194/amt-14-4083-2021
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- Intercomparison of airborne multi-angle polarimeter observations from the Polarimeter Definition Experiment K. Knobelspiesse et al. https://doi.org/10.1364/AO.58.000650
- Effective uncertainty quantification for multi-angle polarimetric aerosol remote sensing over ocean M. Gao et al. https://doi.org/10.5194/amt-15-4859-2022
- Closing the gap: an algorithmic approach to reconciling in-situ and remotely sensed aerosol properties J. Schlosser et al. https://doi.org/10.5194/amt-18-7187-2025
- Polarimetric remote sensing of atmospheric aerosols: Instruments, methodologies, results, and perspectives O. Dubovik et al. https://doi.org/10.1016/j.jqsrt.2018.11.024
- SPEX airborne spectropolarimeter calibration and performance J. Smit et al. https://doi.org/10.1364/AO.58.005695
- Estimation of Cloud Condensation Nuclei (CCN) using a neural network retrieval algorithm—A synthetic study for SPEXone on the NASA PACE mission N. Hannadige et al. https://doi.org/10.1016/j.jqsrt.2026.109853
- Estimation of aerosol complex refractive indices for both fine and coarse modes simultaneously based on AERONET remote sensing products Y. Zhang et al. https://doi.org/10.5194/amt-10-3203-2017
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