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Retrieving the refractive index, emissivity, and surface temperature of polar sea ice from 6.9 GHz microwave measurements: A theoretical development : Retrieving the refractive index, emissivity, and surface temperature of polar sea ice from 6.9GHz microwave measurements: A theoretical development

Cited 20 time in Web of Science Cited 20 time in Scopus
Authors

Lee, Sang-Moo; Sohn, Byung-Ju

Issue Date
2015-03
Publisher
American Geophysical Union
Citation
Journal of Geophysical Research-atmospheres, Vol.120 No.6, pp.2293-2305
Abstract
A new method for retrieving the refractive index, horizontally and vertically polarized emissivities (epsilon(H), epsilon(V)), and temperature of sea ice has been developed by using the combined Fresnel equation, which combines two Fresnel-polarized reflectivity equations into one. By using low-frequency 6.9GHz brightness temperature measurements, the full microwave radiative transfer equation was simplified so that the atmospheric influence on the horizontally and vertically polarized brightness temperatures (T-H, T-V) can be ignored, and thus epsilon(H)/epsilon(V)=T-H/T-V. Since epsilon(H) can be expressed by epsilon(V) according to the combined Fresnel equation (or vice versa), epsilon(H) and epsilon(V) can directly be retrieved from T-H/T-V. The Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) measurements based on the developed method indicate that retrieved epsilon(V) is close to 1, regardless of region and season, which is consistent with the theoretically expected value of epsilon(V) near the Brewster angle (close to AMSR-E viewing angle of 55 degrees). This finding strongly suggests that epsilon(H) and epsilon(V) hold the same degree of accuracy because epsilon(H)/epsilon(V)=T-H/T-V. Such expected accuracy can also be applied to associated sea ice temperature and refractive index retrievals. Likewise, the close agreement of retrieved sea ice temperature with in situ measurement at the ice surface suggests that emissivity and refractive index retrievals are also sound. Some caveats of this approach for the surface temperature over the area including open water are discussed.
ISSN
2169-897X
URI
https://hdl.handle.net/10371/201050
DOI
https://doi.org/10.1002/2014JD022481
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  • College of Natural Sciences
  • Department of Earth and Environmental Sciences
Research Area Data Assimilation for Numerical Weather Prediction, Radiative Transfer Modeling, Satellite Remote Sensing

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