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Title: LLNL/Rescal-snow

Abstract

When wind blows over snow, it self-organizes. This forms surface features, such as ripples and dunes, that alter the reflectivity and thermal conductivity of the snow. These features have just begun to be studied by the snow and climate science communities (see 1, 2, 3 for recent work). We created rescal-snow to provide a highly capable snow dune modelling toolkit, to enable snow scientists to study snow features in controlled numerical experiments, and produce high-quality quantitative output. We hope that this model will be useful to researchers in snow science, geomorphology, and polar climate.

Developers:
 [1];  [1];  [1];  [1];  [1];  [1];  [2]
  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  2. Univ. of Colorado, Boulder, CO (United States)
Release Date:
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Version:
1.0
Licenses:
GNU General Public License v3.0
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)

Primary Award/Contract Number:
AC52-07NA27344
Code ID:
28731
Site Accession Number:
983028
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Country of Origin:
United States

Citation Formats

Kochanski, Kelly A, Green, Eric W, Robeson, Aaron R, Downie, Carlos A, Rountree, Barry L, Defazio, Gian Carlo, Rubin, Adam, and USDOE National Nuclear Security Administration. LLNL/Rescal-snow. Computer software. https://www.osti.gov//servlets/purl/1570332. Vers. 1.0. USDOE National Nuclear Security Administration (NNSA). 25 Jul. 2019. Web. doi:10.11578/dc.20191011.3.
Kochanski, Kelly A, Green, Eric W, Robeson, Aaron R, Downie, Carlos A, Rountree, Barry L, Defazio, Gian Carlo, Rubin, Adam, & USDOE National Nuclear Security Administration. (2019, July 25). LLNL/Rescal-snow (Version 1.0) [Computer software]. https://www.osti.gov//servlets/purl/1570332. doi:10.11578/dc.20191011.3.
Kochanski, Kelly A, Green, Eric W, Robeson, Aaron R, Downie, Carlos A, Rountree, Barry L, Defazio, Gian Carlo, Rubin, Adam, and USDOE National Nuclear Security Administration. LLNL/Rescal-snow. Computer software. Version 1.0. July 25, 2019. https://www.osti.gov//servlets/purl/1570332. doi:10.11578/dc.20191011.3.
@misc{osti_1570332,
title = {LLNL/Rescal-snow, Version 1.0},
author = {Kochanski, Kelly A and Green, Eric W and Robeson, Aaron R and Downie, Carlos A and Rountree, Barry L and Defazio, Gian Carlo and Rubin, Adam and USDOE National Nuclear Security Administration},
abstractNote = {When wind blows over snow, it self-organizes. This forms surface features, such as ripples and dunes, that alter the reflectivity and thermal conductivity of the snow. These features have just begun to be studied by the snow and climate science communities (see 1, 2, 3 for recent work). We created rescal-snow to provide a highly capable snow dune modelling toolkit, to enable snow scientists to study snow features in controlled numerical experiments, and produce high-quality quantitative output. We hope that this model will be useful to researchers in snow science, geomorphology, and polar climate.},
url = {https://www.osti.gov//servlets/purl/1570332},
doi = {10.11578/dc.20191011.3},
year = {2019},
month = {7},
note =
}

Software:
Publicly Accessible Repository
https://github.com/LLNL/Rescal-snow

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