Articles | Volume 8, issue 3
https://doi.org/10.5194/amt-8-1537-2015
© 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-8-1537-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
24 Mar 2015
Research article |
| 24 Mar 2015
Cloud thermodynamic phase detection with polarimetrically sensitive passive sky radiometers
K. Knobelspiesse
CORRESPONDING AUTHOR
NASA Ames Research Center, Moffett Field, CA, USA
B. van Diedenhoven
NASA Goddard Institute for Space Studies, New York, NY, USA
Columbia University, New York, NY, USA
A. Marshak
NASA Goddard Space Flight Center, Greenbelt, MD, USA
S. Dunagan
NASA Ames Research Center, Moffett Field, CA, USA
B. Holben
NASA Goddard Space Flight Center, Greenbelt, MD, USA
I. Slutsker
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Sigma Space Corporation, Lanham, MD, USA
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Cited
17 citations as recorded by crossref.
- Passive shortwave-infrared polarimetric sensing of cloud thermodynamic phase M. Tauc et al. 10.1117/1.JRS.15.024520
- Evaluation of the Accuracy of the Aerosol Optical and Microphysical Retrievals by the GRASP Algorithm from Combined Measurements of a Polarized Sun-Sky-Lunar Photometer and a Three-Wavelength Elastic Lidar D. dos Santos Oliveira et al. 10.3390/rs15205010
- Uncertainties of atmospheric polarimetric measurements with sun-sky radiometers induced by errors of relative orientations of polarizers L. Li et al. 10.1016/j.jqsrt.2018.01.013
- Simulations and experimental results of cloud thermodynamic phase classification with three SWIR spectral bands M. Tauc et al. 10.1117/1.JRS.13.034526
- The impact of neglecting ice phase on cloud optical depth retrievals from AERONET cloud mode observations J. Shonk et al. 10.5194/amt-12-5087-2019
- Cloud Detection Method Based on All-Sky Polarization Imaging W. Li et al. 10.3390/s22166162
- Polarized radiative transfer of a cirrus cloud consisting of randomly oriented hexagonal ice crystals: The 3×3 approximation for non-spherical particles S. Stamnes et al. 10.1016/j.jqsrt.2016.07.001
- Visualization of all-sky polarization images referenced in the instrument, scattering, and solar principal planes L. Eshelman & J. Shaw 10.1117/1.OE.58.8.082418
- Passive UV imaging polarimeter S. Pellicori et al. 10.1364/AO.401221
- Analysis algorithm for sky type and ice halo recognition in all-sky images S. Boyd et al. 10.5194/amt-12-4241-2019
- The effect of roughness model on scattering properties of ice crystals I. Geogdzhayev & B. van Diedenhoven 10.1016/j.jqsrt.2016.03.001
- Polarized view of supercooled liquid water clouds M. Alexandrov et al. 10.1016/j.rse.2016.04.002
- All-sky polarization imaging of cloud thermodynamic phase L. Eshelman et al. 10.1364/OE.27.003528
- Remote sensing of aerosols with small satellites in formation flight K. Knobelspiesse & S. Nag 10.5194/amt-11-3935-2018
- The VIS–SWIR spectrum of skylight polarization L. Eshelman & J. Shaw 10.1364/AO.57.007974
- Physics interpretation of ISO/CIE sky types M. Kocifaj & L. Kómar 10.1016/j.solener.2021.07.017
- Multiband Polarization Imaging Y. Zhao et al. 10.1155/2016/5985673
16 citations as recorded by crossref.
- Passive shortwave-infrared polarimetric sensing of cloud thermodynamic phase M. Tauc et al. 10.1117/1.JRS.15.024520
- Evaluation of the Accuracy of the Aerosol Optical and Microphysical Retrievals by the GRASP Algorithm from Combined Measurements of a Polarized Sun-Sky-Lunar Photometer and a Three-Wavelength Elastic Lidar D. dos Santos Oliveira et al. 10.3390/rs15205010
- Uncertainties of atmospheric polarimetric measurements with sun-sky radiometers induced by errors of relative orientations of polarizers L. Li et al. 10.1016/j.jqsrt.2018.01.013
- Simulations and experimental results of cloud thermodynamic phase classification with three SWIR spectral bands M. Tauc et al. 10.1117/1.JRS.13.034526
- The impact of neglecting ice phase on cloud optical depth retrievals from AERONET cloud mode observations J. Shonk et al. 10.5194/amt-12-5087-2019
- Cloud Detection Method Based on All-Sky Polarization Imaging W. Li et al. 10.3390/s22166162
- Polarized radiative transfer of a cirrus cloud consisting of randomly oriented hexagonal ice crystals: The 3×3 approximation for non-spherical particles S. Stamnes et al. 10.1016/j.jqsrt.2016.07.001
- Visualization of all-sky polarization images referenced in the instrument, scattering, and solar principal planes L. Eshelman & J. Shaw 10.1117/1.OE.58.8.082418
- Passive UV imaging polarimeter S. Pellicori et al. 10.1364/AO.401221
- Analysis algorithm for sky type and ice halo recognition in all-sky images S. Boyd et al. 10.5194/amt-12-4241-2019
- The effect of roughness model on scattering properties of ice crystals I. Geogdzhayev & B. van Diedenhoven 10.1016/j.jqsrt.2016.03.001
- Polarized view of supercooled liquid water clouds M. Alexandrov et al. 10.1016/j.rse.2016.04.002
- All-sky polarization imaging of cloud thermodynamic phase L. Eshelman et al. 10.1364/OE.27.003528
- Remote sensing of aerosols with small satellites in formation flight K. Knobelspiesse & S. Nag 10.5194/amt-11-3935-2018
- The VIS–SWIR spectrum of skylight polarization L. Eshelman & J. Shaw 10.1364/AO.57.007974
- Physics interpretation of ISO/CIE sky types M. Kocifaj & L. Kómar 10.1016/j.solener.2021.07.017
1 citations as recorded by crossref.
Saved (final revised paper)
Latest update: 13 Dec 2024
Short summary
We test if ground-based sun photometers/radiometers like those in the Aerosol Robotic Network (AERONET) can use the polarization sensitivity of some instruments for improved cloud optical property retrieval. Our radiative transfer simulations show that the direction of linear polarization indicates cloud thermodynamic phase for optically thin clouds. In practice, data analysis shows a weak response with AERONET instruments, most likely due to noise and orientation/calibration ambiguity.
We test if ground-based sun photometers/radiometers like those in the Aerosol Robotic Network...
