LLNL/Rescal-snow

Software · Thu Jul 25 00:00:00 EDT 2019

DOI:https://doi.org/10.11578/dc.20191011.3· OSTI ID:1570332 · Code ID:28731

Kochanski, Kelly A ^[1]; Green, Eric W ^[1]; Robeson, Aaron R ^[1]; Downie, Carlos A ^[1]; Rountree, Barry L ^[1]; Defazio, Gian Carlo ^[1]; Rubin, Adam ^[2]

---

1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
2. Univ. of Colorado, Boulder, CO (United States)

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.

• Short Name / Acronym: Rescal-snow
• Project Type: Open Source, Publicly Available Repository
• Site Accession Number: 983028
• Software Type: Scientific
• Version: 1.0
• License(s): GNU General Public License v3.0
• Research Organization: Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)

  ---

  Primary Award/Contract Number:

  AC52-07NA27344
• DOE Contract Number: AC52-07NA27344
• Code ID: 28731
• OSTI ID: 1570332
• Country of Origin: United States