Global Distribution of Ice Cloud Particle Shape and Roughness from PARASOL Satellite Measurements
The energy balance of the Earth is regulated in part by ice clouds, which both reflect shortwave solar radiation and absorb infrared radiation from the Earth. These clouds appear frequently worldwide, with up to 70% coverage in tropical regions. The microphysics of ice clouds determines their radiat...
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ndltd-tamu.edu-oai-repository.tamu.edu-1969.1-1511962013-12-18T03:55:18ZGlobal Distribution of Ice Cloud Particle Shape and Roughness from PARASOL Satellite MeasurementsCole, BenjaminIce roughnesspolarizationThe energy balance of the Earth is regulated in part by ice clouds, which both reflect shortwave solar radiation and absorb infrared radiation from the Earth. These clouds appear frequently worldwide, with up to 70% coverage in tropical regions. The microphysics of ice clouds determines their radiative properties, and is important for accurately predicting the role of ice clouds in Earth’s energy balance. However, describing the microphysics of ice clouds remains a challenging problem, especially with regard to the shape of ice particles and the degree of ice particle surface roughening. In-situ studies have found evidence for ice surface roughness and have found many complex ice geometries; however, these studies are limited spatially and temporally. An approach which allows large-scale analysis is to retrieve these properties via theoretical modeling using satellite observations of polarized reflectance from ice clouds, since polarized reflectance is sensitive to the shape and roughness of ice particles. The theoretical model requires the scattering properties of simulated ice particles. These properties are obtained for 10 different ice shapes and 17 different levels of surface roughness. Simulations are performed for 3 different effective ice particle diameters: 30, 60 and 90 μm. Overall, the retrieved shape is dominated by the compact aggregate of columns. Although the exact composition of shapes varies from month to month, the compact aggregate of columns remains the most commonly retrieved shape. The retrieved roughness varies from moderately rough at σ = 0.1 to severely rough at σ = 0.5. Retrieved roughness varies more than shape, and smooth surfaced ice is most prominent in January. Tropical regions tend to have ice particles that are more roughened, while the midlatitudes and polar regions tend to have more smooth ice. In almost all cases, roughened ice represents > 60% of the total retrievals. The asymmetry parameter inferred from the retrieval of ice particle shape and roughness has a mean value near 0.77, with only small differences based on assumed ice effective diameter. The median value of the asymmetry parameter has a nearly constant value of approximately 0.75.Yang, PingBrooks, SarahPanetta, LeeKattawar, George2013-12-16T20:07:22Z2013-082013-07-29August 20132013-12-16T20:07:23ZThesistextapplication/pdfhttp://hdl.handle.net/1969.1/151196en |
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Ice roughness polarization |
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Ice roughness polarization Cole, Benjamin Global Distribution of Ice Cloud Particle Shape and Roughness from PARASOL Satellite Measurements |
description |
The energy balance of the Earth is regulated in part by ice clouds, which both reflect shortwave solar radiation and absorb infrared radiation from the Earth. These clouds appear frequently worldwide, with up to 70% coverage in tropical regions. The microphysics of ice clouds determines their radiative properties, and is important for accurately predicting the role of ice clouds in Earth’s energy balance. However, describing the microphysics of ice clouds remains a challenging problem, especially with regard to the shape of ice particles and the degree of ice particle surface roughening. In-situ studies have found evidence for ice surface roughness and have found many complex ice geometries; however, these studies are limited spatially and temporally. An approach which allows large-scale analysis is to retrieve these properties via theoretical modeling using satellite observations of polarized reflectance from ice clouds, since polarized reflectance is sensitive to the shape and roughness of ice particles.
The theoretical model requires the scattering properties of simulated ice particles. These properties are obtained for 10 different ice shapes and 17 different levels of surface roughness. Simulations are performed for 3 different effective ice particle diameters: 30, 60 and 90 μm.
Overall, the retrieved shape is dominated by the compact aggregate of columns. Although the exact composition of shapes varies from month to month, the compact aggregate of columns remains the most commonly retrieved shape.
The retrieved roughness varies from moderately rough at σ = 0.1 to severely rough at σ = 0.5. Retrieved roughness varies more than shape, and smooth surfaced ice is most prominent in January. Tropical regions tend to have ice particles that are more roughened, while the midlatitudes and polar regions tend to have more smooth ice. In almost all cases, roughened ice represents > 60% of the total retrievals.
The asymmetry parameter inferred from the retrieval of ice particle shape and roughness has a mean value near 0.77, with only small differences based on assumed ice effective diameter. The median value of the asymmetry parameter has a nearly constant value of approximately 0.75. |
author2 |
Yang, Ping |
author_facet |
Yang, Ping Cole, Benjamin |
author |
Cole, Benjamin |
author_sort |
Cole, Benjamin |
title |
Global Distribution of Ice Cloud Particle Shape and Roughness from PARASOL Satellite Measurements |
title_short |
Global Distribution of Ice Cloud Particle Shape and Roughness from PARASOL Satellite Measurements |
title_full |
Global Distribution of Ice Cloud Particle Shape and Roughness from PARASOL Satellite Measurements |
title_fullStr |
Global Distribution of Ice Cloud Particle Shape and Roughness from PARASOL Satellite Measurements |
title_full_unstemmed |
Global Distribution of Ice Cloud Particle Shape and Roughness from PARASOL Satellite Measurements |
title_sort |
global distribution of ice cloud particle shape and roughness from parasol satellite measurements |
publishDate |
2013 |
url |
http://hdl.handle.net/1969.1/151196 |
work_keys_str_mv |
AT colebenjamin globaldistributionoficecloudparticleshapeandroughnessfromparasolsatellitemeasurements |
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1716620594605195264 |