Articles | Volume 14, issue 12
https://doi.org/10.5194/gmd-14-7673-2021
https://doi.org/10.5194/gmd-14-7673-2021
Model description paper
 | 
21 Dec 2021
Model description paper |  | 21 Dec 2021

SNICAR-ADv3: a community tool for modeling spectral snow albedo

Mark G. Flanner, Julian B. Arnheim, Joseph M. Cook, Cheng Dang, Cenlin He, Xianglei Huang, Deepak Singh, S. McKenzie Skiles, Chloe A. Whicker, and Charles S. Zender

Data sets

Scripts and data used to generate all plots published in "SNICAR-AD v3: A Community Tool for Modeling Spectral Snow Albedo" M. G. Flanner, J. Arnheim, J. M. Cook, C. Dang, C. He, X. Huang, D. Singh, S. M. Skiles, C. A. Whicker, and C. S. Zender https://doi.org/10.5281/zenodo.5707933

Model code and software

Source code and input data for "SNICAR-AD v3" M. G. Flanner, J. Arnheim, J. M. Cook, C. Dang, C. He, X. Huang, D. Singh, S. M. Skiles, C. A. Whicker, and C. S. Zender https://doi.org/10.5281/zenodo.5176213

SNICARv3 mflanner https://github.com/mflanner/SNICARv3

jmcook1186/BioSNICAR_GO_PY: v1.0 J. Cook, L. Chevrollier, and niklasbohn https://doi.org/10.5281/zenodo.5783032

Download
Short summary
We present the technical formulation and evaluation of a publicly available code and web-based model to simulate the spectral albedo of snow. Our model accounts for numerous features of the snow state and ambient conditions, including the the presence of light-absorbing matter like black and brown carbon, mineral dust, volcanic ash, and snow algae. Carbon dioxide snow, found on Mars, is also represented. The model accurately reproduces spectral measurements of clean and contaminated snow.