SNICAR-AD v3: A Community Tool for Modeling Spectral Snow Albedo
The Snow, Ice, and Aerosol Radiative (SNICAR) model has been used in various capacities over the last 15 years to model the spectral albedo of snow with light-absorbing constituents (LAC). Recent studies have extended the model to include an adding-doubling two-stream solver and representations of n...
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ftcopernicus:oai:publications.copernicus.org:gmdd95053 2023-05-15T14:02:17+02:00 SNICAR-AD v3: A Community Tool for Modeling Spectral Snow Albedo Flanner, Mark G. Arnheim, Julian Cook, Joseph M. Dang, Cheng He, Cenlin Huang, Xianglei Singh, Deepak Skiles, S. McKenzie Whicker, Chloe A. Zender, Charles S. 2021-08-16 application/pdf https://doi.org/10.5194/gmd-2021-182 https://gmd.copernicus.org/preprints/gmd-2021-182/ eng eng doi:10.5194/gmd-2021-182 https://gmd.copernicus.org/preprints/gmd-2021-182/ eISSN: 1991-9603 Text 2021 ftcopernicus https://doi.org/10.5194/gmd-2021-182 2021-08-23T16:22:29Z The Snow, Ice, and Aerosol Radiative (SNICAR) model has been used in various capacities over the last 15 years to model the spectral albedo of snow with light-absorbing constituents (LAC). Recent studies have extended the model to include an adding-doubling two-stream solver and representations of non-spherical ice particles, carbon dioxide snow, snow algae, and new types of mineral dust, volcanic ash, and brown carbon. New options also exist for ice refractive indices and solar zenith angle-dependent surface spectral irradiances used to derive broadband albedo. The model spectral range was also extended deeper into the ultraviolet for studies of extraterrestrial and high-altitude cryospheric surfaces. Until now, however, these improvements and capabilities have not been merged into a unified code base. Here, we document the formulation and evaluation of the publicly-available SNICAR-ADv3 source code, web-based model, and accompanying library of particle optical properties. The use of non-spherical ice grains, which scatter less strongly into the forward direction, reduce the simulated albedo perturbations from LAC by ~9–31 %, depending on which of the three available non-spherical shapes are applied. The model compares very well against measurements of snow albedo from seven studies, though key properties affecting snow albedo are not fully constrained with measurements, including ice effective grain size of the top sub-millimeter of the snowpack, mixing state of LAC with respect to ice grains, and site-specific LAC optical properties. The new default ice refractive indices produce extremely high pure snow albedo (> 0.99) in the blue and ultraviolet part of the spectrum, with such values measured so far only in Antarctica. More work is needed particularly in the representation of snow algae, including experimental verification of how different pigment expressions and algal cell concentrations affect snow albedo. Representations and measurements of the influence of liquid water on spectral snow albedo are also needed. Text Antarc* Antarctica Copernicus Publications: E-Journals |
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English |
description |
The Snow, Ice, and Aerosol Radiative (SNICAR) model has been used in various capacities over the last 15 years to model the spectral albedo of snow with light-absorbing constituents (LAC). Recent studies have extended the model to include an adding-doubling two-stream solver and representations of non-spherical ice particles, carbon dioxide snow, snow algae, and new types of mineral dust, volcanic ash, and brown carbon. New options also exist for ice refractive indices and solar zenith angle-dependent surface spectral irradiances used to derive broadband albedo. The model spectral range was also extended deeper into the ultraviolet for studies of extraterrestrial and high-altitude cryospheric surfaces. Until now, however, these improvements and capabilities have not been merged into a unified code base. Here, we document the formulation and evaluation of the publicly-available SNICAR-ADv3 source code, web-based model, and accompanying library of particle optical properties. The use of non-spherical ice grains, which scatter less strongly into the forward direction, reduce the simulated albedo perturbations from LAC by ~9–31 %, depending on which of the three available non-spherical shapes are applied. The model compares very well against measurements of snow albedo from seven studies, though key properties affecting snow albedo are not fully constrained with measurements, including ice effective grain size of the top sub-millimeter of the snowpack, mixing state of LAC with respect to ice grains, and site-specific LAC optical properties. The new default ice refractive indices produce extremely high pure snow albedo (> 0.99) in the blue and ultraviolet part of the spectrum, with such values measured so far only in Antarctica. More work is needed particularly in the representation of snow algae, including experimental verification of how different pigment expressions and algal cell concentrations affect snow albedo. Representations and measurements of the influence of liquid water on spectral snow albedo are also needed. |
format |
Text |
author |
Flanner, Mark G. Arnheim, Julian Cook, Joseph M. Dang, Cheng He, Cenlin Huang, Xianglei Singh, Deepak Skiles, S. McKenzie Whicker, Chloe A. Zender, Charles S. |
spellingShingle |
Flanner, Mark G. Arnheim, Julian Cook, Joseph M. Dang, Cheng He, Cenlin Huang, Xianglei Singh, Deepak Skiles, S. McKenzie Whicker, Chloe A. Zender, Charles S. SNICAR-AD v3: A Community Tool for Modeling Spectral Snow Albedo |
author_facet |
Flanner, Mark G. Arnheim, Julian Cook, Joseph M. Dang, Cheng He, Cenlin Huang, Xianglei Singh, Deepak Skiles, S. McKenzie Whicker, Chloe A. Zender, Charles S. |
author_sort |
Flanner, Mark G. |
title |
SNICAR-AD v3: A Community Tool for Modeling Spectral Snow Albedo |
title_short |
SNICAR-AD v3: A Community Tool for Modeling Spectral Snow Albedo |
title_full |
SNICAR-AD v3: A Community Tool for Modeling Spectral Snow Albedo |
title_fullStr |
SNICAR-AD v3: A Community Tool for Modeling Spectral Snow Albedo |
title_full_unstemmed |
SNICAR-AD v3: A Community Tool for Modeling Spectral Snow Albedo |
title_sort |
snicar-ad v3: a community tool for modeling spectral snow albedo |
publishDate |
2021 |
url |
https://doi.org/10.5194/gmd-2021-182 https://gmd.copernicus.org/preprints/gmd-2021-182/ |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_source |
eISSN: 1991-9603 |
op_relation |
doi:10.5194/gmd-2021-182 https://gmd.copernicus.org/preprints/gmd-2021-182/ |
op_doi |
https://doi.org/10.5194/gmd-2021-182 |
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1766272457819291648 |