Articles | Volume 10, issue 6
https://doi.org/10.5194/tc-10-2541-2016
© 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/tc-10-2541-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
02 Nov 2016
Research article |
| 02 Nov 2016
Reflective properties of white sea ice and snow
Institute of Physics, National Academy of Sciences of Belarus, 220072, pr. Nezavisimosti 68, Minsk, Belarus
Eleonora Zege
Institute of Physics, National Academy of Sciences of Belarus, 220072, pr. Nezavisimosti 68, Minsk, Belarus
Georg Heygster
Institute of Environmental Physics, University of Bremen, O. Hahn Allee 1, 28359 Bremen, Germany
Larysa Istomina
Institute of Environmental Physics, University of Bremen, O. Hahn Allee 1, 28359 Bremen, Germany
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- Unraveling the optical shape of snow A. Robledano et al. 10.1038/s41467-023-39671-3
- Estimating Surface Albedo of Arctic Sea Ice Using an Ensemble Back-Propagation Neural Network: Toward a Better Consideration of Reflectance Anisotropy and Melt Ponds Y. Ding et al. 10.1109/TGRS.2022.3202046
34 citations as recorded by crossref.
- Combined retrieval of Arctic liquid water cloud and surface snow properties using airborne spectral solar remote sensing A. Ehrlich et al. 10.5194/amt-10-3215-2017
- Experimental and model-based investigation of the links between snow bidirectional reflectance and snow microstructure M. Dumont et al. 10.5194/tc-15-3921-2021
- Path-length distributions, scattering, and absorption in refractive spheres and slabs M. Majic et al. 10.1103/PhysRevA.107.053509
- Small-scale spatial variability in bare-ice reflectance at Jamtalferner, Austria L. Hartl et al. 10.5194/tc-14-4063-2020
- Melt pond fractions on Arctic summer sea ice retrieved from Sentinel-3 satellite data with a constrained physical forward model H. Niehaus et al. 10.5194/tc-18-933-2024
- Reflective properties of melt ponds on sea ice A. Malinka et al. 10.5194/tc-12-1921-2018
- Spectral attenuation coefficients from measurements of light transmission in bare ice on the Greenland Ice Sheet M. Cooper et al. 10.5194/tc-15-1931-2021
- Simulation of radiative heating of snow and ice coating A. Timofeev 10.1134/S086986431805013X
- Simulation framework for evaluating lightweight spectral cameras in drone-based aquatic sensing applications R. O’Shea & S. Laney 10.1364/AO.381564
- Optical properties and surface energy flux of spring fast ice in the Arctic J. Zhu et al. 10.1007/s13131-021-1828-9
- SCIATRAN software package (V4.6): update and further development of aerosol, clouds, surface reflectance databases and models L. Mei et al. 10.5194/gmd-16-1511-2023
- Comparison of Pond Depth and Ice Thickness Retrieval Algorithms for Summer Arctic Sea Ice H. Zhang et al. 10.3390/rs14122831
- Effect of optical properties on radiative-conductive heat transfer in a system of two semitransparent layers A. Timofeev 10.1134/S0869864320010138
- The effect of low-level thin arctic clouds on shortwave irradiance: evaluation of estimates from spaceborne passive imagery with aircraft observations H. Chen et al. 10.5194/amt-14-2673-2021
- Sensitivity of the Arctic Sea Ice Cover to the Summer Surface Scattering Layer M. Smith et al. 10.1029/2022GL098349
- Suitability of part block switching of ambient air vaporizer for propane vaporization in contrast to cryogenic vaporization C. Jadav & K. Chowdhury 10.1016/j.applthermaleng.2022.119315
- Regional geology mapping using satellite-based remote sensing approach in Northern Victoria Land, Antarctica A. Pour et al. 10.1016/j.polar.2018.02.004
- Evolution of the microstructure and reflectance of the surface scattering layer on melting, level Arctic sea ice A. Macfarlane et al. 10.1525/elementa.2022.00103
- Assessments of the Arctic amplification and the changes in the Arctic sea surface J. Chen et al. 10.1016/j.accre.2020.03.002
- A multilayer physically based snowpack model simulating direct and indirect radiative impacts of light-absorbing impurities in snow F. Tuzet et al. 10.5194/tc-11-2633-2017
- Four decades of global surface albedo estimates in the third edition of the CM SAF cLoud, Albedo and surface Radiation (CLARA) climate data record A. Riihelä et al. 10.5194/essd-16-1007-2024
- Generating a Long-Term Spatiotemporally Continuous Melt Pond Fraction Dataset for Arctic Sea Ice Using an Artificial Neural Network and a Statistical-Based Temporal Filter Z. Peng et al. 10.3390/rs14184538
- Weathering crust formation outpaces melt-albedo feedback on blue ice shelves of East Antarctica G. Traversa & B. Di Mauro 10.1038/s43247-024-01896-5
- Solar activity expressed in a modern varve thickness sequence G. Hughes et al. 10.1139/cjes-2018-0111
- Solar radiative transfer in Antarctic blue ice: spectral considerations, subsurface enhancement, inclusions, and meteorites A. Smedley et al. 10.5194/tc-14-789-2020
- Universality in azimuthal asymmetry of anisotropic sea-ice reflectance V. Marinyuk & S. Sheberstov 10.1364/JOSAA.467427
- Parameterizing anisotropic reflectance of snow surfaces from airborne digital camera observations in Antarctica T. Carlsen et al. 10.5194/tc-14-3959-2020
- Arctic Sea Ice Albedo Estimation from Fengyun-3C/Visible and Infra-Red Radiometer X. Sun & L. Guan 10.3390/rs16101719
- Analysis of the Role of Aquatic Gases in the Formation of Sea-Ice Porosity V. Goncharov & N. Klementieva 10.3390/w16152213
- Infrared attitude measurement method for spinning projectile under snow background Z. He et al. 10.1016/j.infrared.2020.103528
- ОТРАЖАТЕЛЬНЫЕ СВОЙСТВА АРКТИЧЕСКОГО ЛЕТНЕГО ЛЬДА В ВИДИМОМ И ИНФРАКРАСНОМ ДИАПАЗОНАХ, "Фундаментальная и прикладная гидрофизика" Э. Зеге et al. 10.7868/S2073667318030024
- Application of Sentinel-2 MSI in Arctic Research: Evaluating the Performance of Atmospheric Correction Approaches Over Arctic Sea Ice M. König et al. 10.3389/feart.2019.00022
- Unraveling the optical shape of snow A. Robledano et al. 10.1038/s41467-023-39671-3
- Estimating Surface Albedo of Arctic Sea Ice Using an Ensemble Back-Propagation Neural Network: Toward a Better Consideration of Reflectance Anisotropy and Melt Ponds Y. Ding et al. 10.1109/TGRS.2022.3202046
Discussed (final revised paper)
Latest update: 14 Dec 2024
Short summary
The number of melt ponds on Arctic summer sea ice and its reflectance are required for better climate modeling and weather prediction. In order to derive these quantities from optical satellite observations, simple analytical formulas for the bidirectional reflectance factor and albedo at direct and diffuse incidence are derived from basic assumptions and verified with in situ measurements made during the expedition ARK-XXVII/3 of research vessel Polarstern in 2012.
The number of melt ponds on Arctic summer sea ice and its reflectance are required for better...
