Literature DB >> 30982450

Optical properties of ice and snow.

Stephen G Warren1.   

Abstract

The interactions of electromagnetic radiation with ice, and with ice-containing media such as snow and clouds, are determined by the refractive index and absorption coefficient (the 'optical constants') of pure ice as functions of wavelength. Bulk reflectance, absorptance and transmittance are further influenced by grain size (for snow), bubbles (for glacier ice and lake ice) and brine inclusions (for sea ice). Radiative transfer models for clouds can also be applied to snow; the important differences in their radiative properties are that clouds are optically thinner and contain smaller ice crystals than snow. Absorption of visible and near-ultraviolet radiation by ice is so weak that absorption of sunlight at these wavelengths in natural snow is dominated by trace amounts of light-absorbing impurities such as dust and soot. In the thermal infrared, ice is moderately absorptive, so snow is nearly a blackbody, with emissivity 98-99%. The absorption spectrum of liquid water resembles that of ice from the ultraviolet to the mid-infrared. At longer wavelengths they diverge, so microwave emission can be used to detect snowmelt on ice sheets, and to discriminate between sea ice and open water, by remote sensing. Snow and ice are transparent to radio waves, so radar can be used to infer ice-sheet thickness. This article is part of the theme issue 'The physics and chemistry of ice: scaffolding across scales, from the viability of life to the formation of planets'.

Entities:  

Keywords:  absorption spectrum; ice; optical properties; snow; solar radiation

Year:  2019        PMID: 30982450      PMCID: PMC6501920          DOI: 10.1098/rsta.2018.0161

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  14 in total

1.  Scattering optics of snow.

Authors:  Alexander A Kokhanovsky; Eleonora P Zege
Journal:  Appl Opt       Date:  2004-03-01       Impact factor: 1.980

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Authors:  T P Ackerman; O B Toon
Journal:  Appl Opt       Date:  1981-10-15       Impact factor: 1.980

3.  Measurement of the temperature-dependent optical constants of water ice in the 15-200 microm range.

Authors:  Daniel B Curtis; Bhavani Rajaram; Owen B Toon; Margaret A Tolbert
Journal:  Appl Opt       Date:  2005-07-01       Impact factor: 1.980

4.  Visible and near-ultraviolet absorption spectrum of ice from transmission of solar radiation into snow.

Authors:  Stephen G Warren; Richard E Brandt; Thomas C Grenfell
Journal:  Appl Opt       Date:  2006-07-20       Impact factor: 1.980

5.  Temperature Dependence of Absorption in Ice at 532 nm.

Authors:  K Woschnagg; P B Price
Journal:  Appl Opt       Date:  2001-05-20       Impact factor: 1.980

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Authors:  R M Pope; E S Fry
Journal:  Appl Opt       Date:  1997-11-20       Impact factor: 1.980

7.  Optical properties of deep ice at the South Pole: scattering.

Authors:  P B Price; L Bergström
Journal:  Appl Opt       Date:  1997-06-20       Impact factor: 1.980

8.  Optical constants of ice from the ultraviolet to the microwave.

Authors:  S G Warren
Journal:  Appl Opt       Date:  1984-04-15       Impact factor: 1.980

9.  Catch a falling star: meteorites and old ice.

Authors:  I M Whillans; W A Cassidy
Journal:  Science       Date:  1983-10-07       Impact factor: 47.728

10.  Improved Mie scattering algorithms.

Authors:  W J Wiscombe
Journal:  Appl Opt       Date:  1980-05-01       Impact factor: 1.980

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  4 in total

1.  The physics and chemistry of ice.

Authors:  Thorsten Bartels-Rausch; Maurine Montagnat
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2019-06-03       Impact factor: 4.226

2.  Sublimation-driven morphogenesis of Zen stones on ice surfaces.

Authors:  Nicolas Taberlet; Nicolas Plihon
Journal:  Proc Natl Acad Sci U S A       Date:  2021-09-30       Impact factor: 11.205

3.  In-Situ LED-Based Observation of Snow Surface and Depth Transects.

Authors:  Celeste Barnes; Chris Hopkinson; Thomas Porter; Zhouxin Xi
Journal:  Sensors (Basel)       Date:  2020-04-17       Impact factor: 3.576

4.  Cloud Masking for Landsat 8 and MODIS Terra Over Snow-Covered Terrain: Error Analysis and Spectral Similarity Between Snow and Cloud.

Authors:  Timbo Stillinger; Dar A Roberts; Natalie M Collar; Jeff Dozier
Journal:  Water Resour Res       Date:  2019-07-29       Impact factor: 5.240

  4 in total

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