A comprehensive dataset for the thermal conductivity of ice Ih for application to planetary ice shells.

Ice Ih, thermal conductivity Ice shell Ice thermal conductivity model Ice thermophysical properties Temperature dependence of thermal conductivity of ice Thermal conductivity of ice Uncertainty in ice thermal conductivity

Journal

Data in brief
ISSN: 2352-3409
Titre abrégé: Data Brief
Pays: Netherlands
ID NLM: 101654995

Informations de publication

Date de publication:
Jun 2021
Historique:
received: 16 03 2021
revised: 14 04 2021
accepted: 15 04 2021
entrez: 24 5 2021
pubmed: 25 5 2021
medline: 25 5 2021
Statut: epublish

Résumé

Contemporary models representing the thermal conductivity of ice Ih as a function of temperature are based on data from published experiments that span over a century. Each model is derived using specific datasets with distinct experimental setups, temperature ranges, and uncertainties. Model errors introduced by inaccurate digitization and biased datapoints are challenging to trace due to a lack of transparency of the primary data. This dataset is a collection of published thermal conductivity data for ice Ih, including both tabulated and digitized data, presented in the original units. Specific samples or pressure conditions are noted where applicable. The dataset also includes a survey of published thermal conductivity models, providing the valid temperature range, accuracy and uncertainty (where noted in the original publication), and the primary data sources. Importantly, the dataset includes notes that were contained in the original publication or subsequent publications that provide additional context for the data. This dataset is used to derive a new thermal conductivity model which best represents the thermal conductivity of ice Ih for temperatures greater than 30 K. Statistics are provided to evaluate the fit of each thermal conductivity model in the survey of published models to the comprehensive dataset presented here. This dataset is constructed in support of the work "New insights into temperature-dependent ice properties and their effect on ice shell convection for icy ocean worlds" [1].

Identifiants

pubmed: 34026976
doi: 10.1016/j.dib.2021.107079
pii: S2352-3409(21)00363-2
pmc: PMC8134708
doi:

Types de publication

Journal Article

Langues

eng

Pagination

107079

Informations de copyright

© 2021 The Authors. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships which have or could be perceived to have influenced the work reported in this article.

Références

Cryo Letters. 2000 May-Jun;21(3):163-170
pubmed: 12148047
Phys Chem Chem Phys. 2005 Apr 7;7(7):1441-9
pubmed: 19787966
Phys Rev B Condens Matter. 1994 Sep 1;50(10):6583-6588
pubmed: 9974610

Auteurs

Natalie S Wolfenbarger (NS)

Department of Geological Studies, Jackson School of Geosciences, The University of Texas at Austin, 2305 Speedway, C1160, Austin, TX 78712, USA.
Institute for Geophysics, The University of Texas at Austin, 10100 Burnet Rd, Bldg. 196, Austin, TX 78758, USA.

Evan Carnahan (E)

Department of Geological Studies, Jackson School of Geosciences, The University of Texas at Austin, 2305 Speedway, C1160, Austin, TX 78712, USA.
Institute for Geophysics, The University of Texas at Austin, 10100 Burnet Rd, Bldg. 196, Austin, TX 78758, USA.
Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, 201 E. 24th Street, C0200, Austin, TX 78712, USA.

Jacob S Jordan (JS)

Department of Earth, Environmental and Planetary Sciences, Rice University, 6100 Main St, Ms-126, Houston, TX 77005, USA.

Marc A Hesse (MA)

Department of Geological Studies, Jackson School of Geosciences, The University of Texas at Austin, 2305 Speedway, C1160, Austin, TX 78712, USA.
Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, 201 E. 24th Street, C0200, Austin, TX 78712, USA.

Classifications MeSH