The Cryosphere
The Cryosphere
TC
Articles | Volume 16, issue 10
Articles | Volume 16, issue 10
The Cryosphere, 16, 4141–4162, 2022
https://doi.org/10.5194/tc-16-4141-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
The Cryosphere, 16, 4141–4162, 2022
https://doi.org/10.5194/tc-16-4141-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 10
Research article
10 Oct 2022
Research article | 10 Oct 2022

Evaluating simplifications of subsurface process representations for field-scale permafrost hydrology models

Bo Gao and Ethan T. Coon

Supplement

https://doi.org/10.5194/tc-16-4141-2022-supplement

Data sets

Raw and processed forcing data, and simulated outputs Bo Gao https://github.com/gaobhub/data_for_paper_model_comparison

Evaluating simplifications of subsurface process representations for field-scale permafrost hydrology models B. Gao https://doi.org/10.5281/zenodo.7125408

Surface Meteorology, Utqiagvik (Barrow), Alaska, Area A, B, C and D, Ongoing from 2012 L. Hinzman, B. Busey, W. Cable, and V. Romanovsky https://doi.org/10.5440/1164893

Surface Meteorology at Teller Site Stations, Seward Peninsula, Alaska, Ongoing from 2016 B. Busey, B. Bolton, C. Wilson, and L. Cohen https://doi.org/10.5440/1437633

Model code and software

The Advanced Terrestrial Simulator (ATS) version 1.2 E. T. Coon, M. Berndt, A. Jan, D. Svyatsky, A. L. Atchley, E. Kikinzon, D. R. Harp, G. Manzini, E. Shelef, K. Lipnikov, R. Garimella, C. Xu, J. D. Moulton, S. Karra, S. L. Painter, E. Jafarov, and S. Molins https://github.com/amanzi/ats

Advanced Terrestrial Simulator (ATS) v1.2.0 (1.2.0) E. Coon, M. Berndt, A. Jan, D. Svyatsky, A. Atchley, E. Kikinzon, D. Harp, G. Manzini, E. Shelef, K. Lipnikov, R. Garimella, C. Xu, D. Moulton, S. Karra, S. Painter, E. Jafarov, and S. Molins https://doi.org/10.5281/zenodo.6679807

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Short summary
Representing water at constant density, neglecting cryosuction, and neglecting heat advection are three commonly applied but not validated simplifications in permafrost models to reduce computation complexity at field scale. We investigated this problem numerically by Advanced Terrestrial Simulator and found that neglecting cryosuction can cause significant bias (10%–60%), constant density primarily affects predicting water saturation, and ignoring heat advection has the least impact.
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