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.
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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- Influence of 3D effects on 1D aerosol retrievals in synthetic, partially clouded scenes F. Stap et al. 10.1016/j.jqsrt.2015.10.008
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- Simultaneous retrieval of aerosol and ocean properties from PACE HARP2 with uncertainty assessment using cascading neural network radiative transfer models M. Gao et al. 10.5194/amt-16-5863-2023
- Polarimetric retrievals of cloud droplet number concentrations K. Sinclair et al. 10.1016/j.rse.2019.04.008
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- Machine learning based aerosol and ocean color joint retrieval algorithm for multiangle polarimeters over coastal waters K. Aryal et al. 10.1364/OE.522794
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