Articles | Volume 16, issue 12
https://doi.org/10.5194/acp-16-7545-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-7545-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
21 Jun 2016
Research article |
| 21 Jun 2016
Degree of ice particle surface roughness inferred from polarimetric observations
Department of Atmospheric Sciences, Texas A&M
University, College Station, Texas, USA
Ping Yang
Department of Atmospheric Sciences, Texas A&M
University, College Station, Texas, USA
Bryan A. Baum
Space Science and Engineering Center, University of
Wisconsin-Madison, Madison, Wisconsin, USA
Steven Platnick
Earth Science Division, NASA Goddard Space Flight Center,
Greenbelt, Maryland, USA
Kerry G. Meyer
Goddard Earth Sciences Technology and Research,
Universities Space Research Association, Columbia, Maryland, USA
Michael D. King
Laboratory for Atmospheric & Space Physics, University
of Colorado, Boulder, CO, USA
Jerome Riedi
Laboratoire d'Optique Atmosphérique, Université de
Lille – Sciences et Technologies, Villeneuve d'Ascq, France
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Cited
20 citations as recorded by crossref.
- Impact of Orbital Characteristics and Viewing Geometry on the Retrieval of Cloud Properties From Multiangle Polarimetric Measurements Y. Wang et al. 10.1109/TGRS.2023.3329305
- Effects of ice crystal surface roughness and air bubble inclusions on cirrus cloud radiative properties from remote sensing perspective G. Tang et al. 10.1016/j.jqsrt.2017.01.016
- Quantitative three‐dimensional ice roughness from scanning electron microscopy N. Butterfield et al. 10.1002/2016JD026094
- Investigations of Mesoscopic Complexity of Small Ice Crystals in Midlatitude Cirrus E. Järvinen et al. 10.1029/2018GL079079
- Captured cirrus ice particles in high definition N. Magee et al. 10.5194/acp-21-7171-2021
- Inference of an Optimal Ice Particle Model through Latitudinal Analysis of MISR and MODIS Data Y. Wang et al. 10.3390/rs10121981
- Quantifying the Impact of the Surface Roughness of Hexagonal Ice Crystals on Backscattering Properties for Lidar‐Based Remote Sensing Applications M. Saito & P. Yang 10.1029/2023GL104175
- On the Scattering-Angle Dependence of the Spectral Consistency of Ice Cloud Optical Thickness Retrievals Based on Geostationary Satellite Observations D. Li et al. 10.1109/TGRS.2023.3331970
- Global Statistics of Ice Microphysical and Optical Properties at Tops of Optically Thick Ice Clouds B. van Diedenhoven et al. 10.1029/2019JD031811
- A Classification of Ice Crystal Habits Using Combined Lidar and Scanning Polarimeter Observations during the SEAC4RS Campaign N. Midzak et al. 10.1175/JTECH-D-20-0037.1
- Surface roughness during depositional growth and sublimation of ice crystals J. Voigtländer et al. 10.5194/acp-18-13687-2018
- Diurnal Variation of Tropical Ice Cloud Microphysics: Evidence from Global Precipitation Measurement Microwave Imager Polarimetric Measurements J. Gong et al. 10.1002/2017GL075519
- Information Content of Ice Cloud Properties from Multi-Spectral, -Angle and -Polarization Observations M. Zhang et al. 10.3390/rs12162548
- Ice particle morphology and microphysical properties of cirrus clouds inferred from combined CALIOP‐IIR measurements M. Saito et al. 10.1002/2016JD026080
- Toward Better Constrained Scattering Models for Natural Ice Crystals in the Visible Region G. Xu et al. 10.1029/2022JD037604
- Optical Property Model for Cirrus Clouds Based on Airborne Multi-Angle Polarization Observations Y. Wang et al. 10.3390/rs13142754
- Generalization of Atmospheric Nonspherical Particle Size: Interconversions of Size Distributions and Optical Equivalence M. Saito & P. Yang 10.1175/JAS-D-22-0086.1
- Ice Cloud Optical Thickness, Effective Radius, And Ice Water Path Inferred From Fused MISR and MODIS Measurements Based on a Pixel‐Level Optimal Ice Particle Roughness Model Y. Wang et al. 10.1029/2019JD030457
- Impact of Multiple Scattering on Longwave Radiative Transfer Involving Clouds C. Kuo et al. 10.1002/2017MS001117
- Time-Dependent Systematic Biases in Inferring Ice Cloud Properties from Geostationary Satellite Observations D. Li et al. 10.3390/rs15030855
20 citations as recorded by crossref.
- Impact of Orbital Characteristics and Viewing Geometry on the Retrieval of Cloud Properties From Multiangle Polarimetric Measurements Y. Wang et al. 10.1109/TGRS.2023.3329305
- Effects of ice crystal surface roughness and air bubble inclusions on cirrus cloud radiative properties from remote sensing perspective G. Tang et al. 10.1016/j.jqsrt.2017.01.016
- Quantitative three‐dimensional ice roughness from scanning electron microscopy N. Butterfield et al. 10.1002/2016JD026094
- Investigations of Mesoscopic Complexity of Small Ice Crystals in Midlatitude Cirrus E. Järvinen et al. 10.1029/2018GL079079
- Captured cirrus ice particles in high definition N. Magee et al. 10.5194/acp-21-7171-2021
- Inference of an Optimal Ice Particle Model through Latitudinal Analysis of MISR and MODIS Data Y. Wang et al. 10.3390/rs10121981
- Quantifying the Impact of the Surface Roughness of Hexagonal Ice Crystals on Backscattering Properties for Lidar‐Based Remote Sensing Applications M. Saito & P. Yang 10.1029/2023GL104175
- On the Scattering-Angle Dependence of the Spectral Consistency of Ice Cloud Optical Thickness Retrievals Based on Geostationary Satellite Observations D. Li et al. 10.1109/TGRS.2023.3331970
- Global Statistics of Ice Microphysical and Optical Properties at Tops of Optically Thick Ice Clouds B. van Diedenhoven et al. 10.1029/2019JD031811
- A Classification of Ice Crystal Habits Using Combined Lidar and Scanning Polarimeter Observations during the SEAC4RS Campaign N. Midzak et al. 10.1175/JTECH-D-20-0037.1
- Surface roughness during depositional growth and sublimation of ice crystals J. Voigtländer et al. 10.5194/acp-18-13687-2018
- Diurnal Variation of Tropical Ice Cloud Microphysics: Evidence from Global Precipitation Measurement Microwave Imager Polarimetric Measurements J. Gong et al. 10.1002/2017GL075519
- Information Content of Ice Cloud Properties from Multi-Spectral, -Angle and -Polarization Observations M. Zhang et al. 10.3390/rs12162548
- Ice particle morphology and microphysical properties of cirrus clouds inferred from combined CALIOP‐IIR measurements M. Saito et al. 10.1002/2016JD026080
- Toward Better Constrained Scattering Models for Natural Ice Crystals in the Visible Region G. Xu et al. 10.1029/2022JD037604
- Optical Property Model for Cirrus Clouds Based on Airborne Multi-Angle Polarization Observations Y. Wang et al. 10.3390/rs13142754
- Generalization of Atmospheric Nonspherical Particle Size: Interconversions of Size Distributions and Optical Equivalence M. Saito & P. Yang 10.1175/JAS-D-22-0086.1
- Ice Cloud Optical Thickness, Effective Radius, And Ice Water Path Inferred From Fused MISR and MODIS Measurements Based on a Pixel‐Level Optimal Ice Particle Roughness Model Y. Wang et al. 10.1029/2019JD030457
- Impact of Multiple Scattering on Longwave Radiative Transfer Involving Clouds C. Kuo et al. 10.1002/2017MS001117
- Time-Dependent Systematic Biases in Inferring Ice Cloud Properties from Geostationary Satellite Observations D. Li et al. 10.3390/rs15030855
Latest update: 24 Apr 2024
Short summary
The degree of surface roughness of ice particles within thick, cold ice clouds is inferred from multi-directional, multi-spectral satellite polarimetric observations over oceans, assuming a column-aggregate particle habit. An improved roughness inference scheme is employed, which provides a more noise-resilient roughness estimate than the conventional approach. A global one-month data sample shows the use and the limit of a severely roughened ice habit to simulate the polarized reflectivity.
The degree of surface roughness of ice particles within thick, cold ice clouds is inferred from...
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