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CryoGrid3

A one-dimensional land surface model dedicated to simulate ground temperatures in permafrost environments.
https://github.com/CryoGrid/CryoGrid3

Category: Natural Resources
Sub Category: Soil and Land

Last synced: about 20 hours ago
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CryoGrid is a one-dimensional land surface model dedicated to simulate ground temperatures in permafrost environments.

README.md

CryoGrid3

Depreciation note: We encourage potentially interested users of CryoGrid to use the newer community version of the model. It has a much more flexible and modular structure and comprises (almost) all functionalities of the older CryoGrid3 model.

Background

CryoGrid 3 is a land-surface scheme dedicated to modeling of ground temperatures in permafrost environments. Its excess ice module Xice is capable of simulating ground subsidence and thermokarst lake formation due to melting of excess ground ice.

References

The basic version of CryoGrid 3 Xice is described in the following article:

Westermann, S., Langer, M., Boike, J., Heikenfeld, M., Peter, M., Etzelmüller, B., & Krinner, G. (2016). Simulating the thermal regime and thaw processes of ice-rich permafrost ground with the land-surface model CryoGrid 3. Geosci. Model Dev., 9(2), 523–546. https://doi.org/10.5194/gmd-9-523-2016

This version has been extended by the lake mode FLake and has been used for simulations described in the following article:

Langer, M., Westermann, S., Boike, J., Kirillin, G., Grosse, G., Peng, S., & Krinner, G. (2016). Rapid degradation of permafrost underneath waterbodies in tundra landscapes—Toward a representation of thermokarst in land surface models. Journal of Geophysical Research: Earth Surface, 121(12), 2446–2470. https://doi.org/10.1002/2016JF003956

Version v1.0.0 has been extended by a hydrology scheme for unfrozen ground conditions, and schemes for the lateral transport of heat, water, and snow between adjacent parts of the simulated environment. It has been set up to study the degradation of ice-wedge polygons as described in the following article:

Nitzbon, J., Langer, M., Westermann, S., Martin, L., Aas, K. S., & Boike, J. (2019). Pathways of ice-wedge degradation in polygonal tundra under different hydrological conditions. The Cryosphere, 13(4), 1089–1123. https://doi.org/10.5194/tc-13-1089-2019

Very similar model versions have been used to study the degradation of peat plateaus and palsas as described in the following articles:

Martin, L. C. P., Nitzbon, J., Aas, K. S., Etzelmüller, B., Kristiansen, H., & Westermann, S. (2019). Stability Conditions of Peat Plateaus and Palsas in Northern Norway. Journal of Geophysical Research: Earth Surface, 124, 705–719. https://doi.org/10.1029/2018JF004945

Martin, L. C. P., Nitzbon, J., Scheer, J., Aas, K. S., Eiken, T., Langer, M., Filhol, S., Etzelmüller, B., & Westermann, S. (2020). Thermal erosion patterns of permafrost peat plateaus in northern Norway. The Cryosphere Discussions, 1–33. https://doi.org/10.5194/tc-2020-338

Version v1.1.0 has been extended by a scheme for the lateral transport of sediment within the simulated environment. It has been used for the simulations related to a research article on the response of ice-rich permafrost to a warming climate:

Nitzbon, J., Westermann, S., Langer, M., Martin, L. C. P., Strauss, J., Laboor, S., & Boike, J. (2020). Fast response of cold ice-rich permafrost in northeast Siberia to a warming climate. Nature Communications, 11, 2201. https://doi.org/10.1038/s41467-020-15725-8

Version v1.2.0 has been extended by a multi-scale tiling scheme. It has been used for simulations presented in a research article published in The Cryosphere:

Nitzbon, J., Langer, M., Martin, L. C. P., Westermann, S., Schneider von Deimling, T., & Boike, J. (2020). Effects of multi-scale heterogeneity on the simulated evolution of ice-rich permafrost lowlands under a warming climate. The Cryosphere, 15(3), 1399–1422. https://doi.org/10.5194/tc-15-1399-2021


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Last synced: 6 days ago

Total Commits: 130
Total Committers: 4
Avg Commits per committer: 32.5
Development Distribution Score (DDS): 0.185

Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
Jan Nitzbon j****n@p****e 106
LeoGooga l****n@g****m 18
CryoGrid 3****d 5
Stephan Jacobi 3****i 1

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Issue and Pull Request metadata

Last synced: 2 days ago

Total issues: 5
Total pull requests: 7
Average time to close issues: 3 months
Average time to close pull requests: 1 day
Total issue authors: 2
Total pull request authors: 5
Average comments per issue: 0.6
Average comments per pull request: 0.29
Merged pull request: 6
Bot issues: 0
Bot pull requests: 0

Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/CryoGrid/CryoGrid3

Top Issue Authors

  • jannitzbon (3)
  • LeoGooga (2)

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  • jannitzbon (3)
  • permarisk (1)
  • CryoGrid (1)
  • StephanJacobi (1)
  • LeoGooga (1)

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Package metadata

proxy.golang.org: github.com/CryoGrid/CryoGrid3

proxy.golang.org: github.com/cryogrid/cryogrid3

Score: -Infinity