A numerical solver for heat and mass transport in snow based on FEniCS

This python code uses the Finite Element library FEniCS (via docker) to solve the one dimensional partial differential equations for heat and mass transfer in snow. The results are written in vtk format.

The dataset contains the code and the output data to reproduce the key Figure 5 from the related publication:

Schürholt, K., Kowalski, J., Löwe, H.; Elements of future snowpack modeling - Part 1: A physical instability arising from the non-linear coupling of transport and phase changes, The Cryosphere, 2022

The code and potential updates can be accessed directly through git via:

https://gitlabext.wsl.ch/snow-physics/snowmodel_fenics

Data and Resources

Additional Info

Field Value
Source
Version 1.0
Author [{"affiliation": "WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland", "affiliation_02": "University of St. Gallen", "affiliation_03": "", "data_credit": ["collection", "validation", "curation", "software"], "email": "[email protected]", "given_name": "Konstantin", "identifier": "", "name": "Sch\u00fcrholt"}, {"affiliation": "RWTH Aachen University", "affiliation_02": "", "affiliation_03": "", "data_credit": "supervision", "email": "[email protected]", "given_name": "Julia", "identifier": "", "name": "Kowalski"}, {"affiliation": "WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland", "affiliation_02": "SLF", "affiliation_03": "", "data_credit": ["software", "publication", "supervision"], "email": "[email protected]", "given_name": "Henning", "identifier": "0000-0001-7515-6809", "name": "L\u00f6we"}]
Author Email
Maintainer {"affiliation": "WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland", "email": "[email protected]", "given_name": "Henning", "identifier": "0000-0001-7515-6809", "name": "Löwe"}
Maintainer Email
Shared (this field will be removed in the future) Open
IB1 Sensitivity Class
IB1 Trust Framework
IB1 Dataset Assurance
IB1 Trust Framework
harvest_object_id e0bb55af-f61d-4679-98ba-b0d86a0ae010
harvest_source_id 8fc5dcf9-738c-468f-985c-d55347a92f88
harvest_source_title EnviDat