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Modeling the physics of permafrost-related processes.

https://github.com/permamodel

permamodel

Permamodel is a collection of numerical permafrost models with a range of capability and complexity. Permamodel includes multiple sets of sample inputs representing a variety of conditions and locations. The Permamodel project is intended to facilitate the broader use of permafrost models. We hope that the simple Python interfaces and open source licensing can make permafrost models accessible to a broad audience well beyond the permafrost research community, such as educators, students, and policy makers.

Frost number

Calculates the frost number, an indication of the probability of finding permafrost, at a site. There are different versions of the frost number depending on what data area available at the site.

For more information, including source code and examples, please see https://github.com/permamodel/permamodel.

Ku

Implements a semi-empirical/analytical solution to soil conditions. Please cite:

Wang, K., Jafarov, E., & Overeem, I. (2020). Sensitivity evaluation of the Kudryavtsev permafrost model. Science of The Total Environment, 137538. https://doi.org/10.1016/j.scitotenv.2020.137538

Overeem, I., E. Jafarov, K. Wang, K. Schaefer, S. Stewart, G. Clow, M. Piper, and Y. Elshorbany (2018). A modeling toolbox for permafrost landscapes. Eos. https://doi.org/10.1029/2018EO105155.

For more information, including source code and examples, please see https://github.com/permamodel/permamodel.

GIPL

GIPL is a numerical model that solves for the temperature profile of a soil column given its material properties and the temperature and precipitation conditions it experiences.

For more information, please see https://github.com/Elchin/GIPL and https://github.com/permamodel/GIPL-BMI-Fortran.

Acknowledgement

Funding for the permamodel project is provided by NSF Polar Programs Grant 1503559, Towards a Tiered Permafrost Modeling Cyberinfrastructure.