Articles | Volume 16, issue 4
https://doi.org/10.5194/tc-16-1197-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-16-1197-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
SNICAR-ADv4: a physically based radiative transfer model to represent the spectral albedo of glacier ice
Department of Climate and Space Sciences and Engineering, University
of Michigan, Ann Arbor, MI, USA
Mark G. Flanner
Department of Climate and Space Sciences and Engineering, University
of Michigan, Ann Arbor, MI, USA
Cheng Dang
Joint Center for Satellite Data Assimilation, University Corporation
for Atmospheric Research, Boulder, CO, USA
Charles S. Zender
Department of Earth System Science, University of California, Irvine,
CA, USA
Joseph M. Cook
Department of Environmental Science, Aarhus University,
Frederiksborgvej 339C, 4000, Roskilde, Denmark
Alex S. Gardner
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
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Cited
26 citations as recorded by crossref.
- Dark brown carbon from wildfires: a potent snow radiative forcing agent? G. Chelluboyina et al.
- Modelling light-absorbing particle–snow–radiation interactions and impacts on snow albedo: fundamentals, recent advances and future directions C. He & J. Ming
- An insight into POLDER database over Arctic through the angular information J. Guo et al.
- Brief communication: Not as dirty as they look, flawed airborne and satellite snow spectra E. Bair et al.
- SatRbedo: An R package for retrieving snow and ice albedo from optical satellite imagery P. Fuchs et al.
- Molecular-Specific Aromatic Compounds Absorption Drives Divergent Radiative Forcing in High-Altitude Air and Snow over the Tibetan Plateau X. Wu et al.
- Quantitative evaluation of the delta-Eddington, Hapke, and Shkuratov models for predicting the albedo and inferring the grain radius of ice A. Khuller & A. Emran
- Separating the albedo-reducing effect of different light-absorbing particles on snow using deep learning L. Chevrollier et al.
- Radiative effects of black carbon in the Arctic due to recent extreme summer fires X. Chen et al.
- How well do the regional atmospheric and oceanic models describe the Antarctic sea ice albedo? K. Verro et al.
- Improvement of Snow Albedo Simulation Considering Water Content F. Li & K. Wu
- Assessing bare-ice albedo simulated by MAR over the Greenland ice sheet (2000–2021) and implications for meltwater production estimates R. Antwerpen et al.
- Black carbon concentrations and modeled smoke deposition fluxes to the bare-ice dark zone of the Greenland Ice Sheet A. Khan et al.
- A simple analytical model for the reflection function of flat glacier ice surfaces and its application for optical remote sensing of glaciers A. Kokhanovsky et al.
- Saharan dust impacts on the surface mass balance of Argentière Glacier (French Alps) L. Roussel et al.
- Contribution of biomass burning to black carbon deposition on Andean glaciers: consequences for radiative forcing E. Bonilla et al.
- Modeling of ice albedo: A quantitative study of the impact of surface roughness T. Tanikawa et al.
- Snow Albedo and its Parameterization for the Purposes of Modeling Natural Systems and Climate D. Turkov et al.
- Light absorption and albedo reduction by pigmented microalgae on snow and ice L. Chevrollier et al.
- Snow albedo and its parameterization for natural systems and climate modeling D. Turkov et al.
- Enhanced MODIS-derived ice physical properties within the Common Land Model (CoLM) revealing bare-ice–snow albedo feedback over Greenland S. Guo et al.
- Dark ice in a warming world: advances and challenges in the study of Greenland Ice Sheet's biological darkening L. Halbach et al.
- Impact of varying solar angles on Arctic iceberg area retrieval from Sentinel-2 near-infrared data H. Fisser et al.
- Insights into the impact of light-absorbing impurities on radiative forcing and snowmelt in the Ili Basin in Central Asia B. Wu et al.
- Potential for photosynthesis on Mars within snow and ice A. Khuller et al.
- Do we still need reflectance? From radiance to snow properties in mountainous terrain: a case study with the EMIT imaging spectrometer N. Bohn et al.
26 citations as recorded by crossref.
- Dark brown carbon from wildfires: a potent snow radiative forcing agent? G. Chelluboyina et al.
- Modelling light-absorbing particle–snow–radiation interactions and impacts on snow albedo: fundamentals, recent advances and future directions C. He & J. Ming
- An insight into POLDER database over Arctic through the angular information J. Guo et al.
- Brief communication: Not as dirty as they look, flawed airborne and satellite snow spectra E. Bair et al.
- SatRbedo: An R package for retrieving snow and ice albedo from optical satellite imagery P. Fuchs et al.
- Molecular-Specific Aromatic Compounds Absorption Drives Divergent Radiative Forcing in High-Altitude Air and Snow over the Tibetan Plateau X. Wu et al.
- Quantitative evaluation of the delta-Eddington, Hapke, and Shkuratov models for predicting the albedo and inferring the grain radius of ice A. Khuller & A. Emran
- Separating the albedo-reducing effect of different light-absorbing particles on snow using deep learning L. Chevrollier et al.
- Radiative effects of black carbon in the Arctic due to recent extreme summer fires X. Chen et al.
- How well do the regional atmospheric and oceanic models describe the Antarctic sea ice albedo? K. Verro et al.
- Improvement of Snow Albedo Simulation Considering Water Content F. Li & K. Wu
- Assessing bare-ice albedo simulated by MAR over the Greenland ice sheet (2000–2021) and implications for meltwater production estimates R. Antwerpen et al.
- Black carbon concentrations and modeled smoke deposition fluxes to the bare-ice dark zone of the Greenland Ice Sheet A. Khan et al.
- A simple analytical model for the reflection function of flat glacier ice surfaces and its application for optical remote sensing of glaciers A. Kokhanovsky et al.
- Saharan dust impacts on the surface mass balance of Argentière Glacier (French Alps) L. Roussel et al.
- Contribution of biomass burning to black carbon deposition on Andean glaciers: consequences for radiative forcing E. Bonilla et al.
- Modeling of ice albedo: A quantitative study of the impact of surface roughness T. Tanikawa et al.
- Snow Albedo and its Parameterization for the Purposes of Modeling Natural Systems and Climate D. Turkov et al.
- Light absorption and albedo reduction by pigmented microalgae on snow and ice L. Chevrollier et al.
- Snow albedo and its parameterization for natural systems and climate modeling D. Turkov et al.
- Enhanced MODIS-derived ice physical properties within the Common Land Model (CoLM) revealing bare-ice–snow albedo feedback over Greenland S. Guo et al.
- Dark ice in a warming world: advances and challenges in the study of Greenland Ice Sheet's biological darkening L. Halbach et al.
- Impact of varying solar angles on Arctic iceberg area retrieval from Sentinel-2 near-infrared data H. Fisser et al.
- Insights into the impact of light-absorbing impurities on radiative forcing and snowmelt in the Ili Basin in Central Asia B. Wu et al.
- Potential for photosynthesis on Mars within snow and ice A. Khuller et al.
- Do we still need reflectance? From radiance to snow properties in mountainous terrain: a case study with the EMIT imaging spectrometer N. Bohn et al.
Saved (final revised paper)
Latest update: 14 May 2026
Short summary
Snow and ice surfaces are important to the global climate. Current climate models use measurements to determine the reflectivity of ice. This model uses physical properties to determine the reflectivity of snow, ice, and darkly pigmented impurities that reside within the snow and ice. Therefore, the modeled reflectivity is more accurate for snow/ice columns under varying climate conditions. This model paves the way for improvements in the portrayal of snow and ice within global climate models.
Snow and ice surfaces are important to the global climate. Current climate models use...