Coupled multilayer canopy-permafrost model (CryoGrid) for the use in permafrost underlain boreal forests.
CryoGrid is a land-surface scheme dedicated to modeling of ground temperatures in permafrost environments. Here, the one-dimensional land surface model (CryoGrid) is adapted for the application in vegetated areas by coupling a multilayer canopy model (CLM-ml v0). This model setup is used to reproduc...
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ftzenodo:oai:zenodo.org:4317107 2023-05-15T16:37:13+02:00 Coupled multilayer canopy-permafrost model (CryoGrid) for the use in permafrost underlain boreal forests. Stuenzi, Simone M. Boike, Julia Cable, William Herzschuh, Ulrike Kruse, Stefan Pestryakova, Luidmila A. Schneider von Deimling, Thomas Westermann, Sebastian Zakharov, Evgeniy S. Langer, Moritz 2020-12-11 https://zenodo.org/record/4317107 https://doi.org/10.5281/zenodo.4317107 eng eng info:eu-repo/grantAgreement/EC/H2020/772852/ https://github.com/CryoGrid/CryoGrid/tree/vegetation doi:10.5194/bg-2020-201 doi:10.1594/PANGAEA.919859 doi:10.1594/PANGAEA.914327 doi:10.5281/zenodo.4317106 https://zenodo.org/record/4317107 https://doi.org/10.5281/zenodo.4317107 oai:zenodo.org:4317107 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Permafrost Land surface model CryoGrid Boreal forest info:eu-repo/semantics/other software 2020 ftzenodo https://doi.org/10.5281/zenodo.431710710.5194/bg-2020-20110.1594/PANGAEA.91985910.1594/PANGAEA.91432710.5281/zenodo.4317106 2023-03-11T04:40:14Z CryoGrid is a land-surface scheme dedicated to modeling of ground temperatures in permafrost environments. Here, the one-dimensional land surface model (CryoGrid) is adapted for the application in vegetated areas by coupling a multilayer canopy model (CLM-ml v0). This model setup is used to reproduce the energy transfer and thermal regime at a study site in mixed boreal forest in Eastern Siberia. The vegetation module forms the upper boundary layer of the coupled vegetation-permafrost model and replaces the surface energy balance equation used for common CryoGrid representations. The model is described in the following article which has been published in Biogeosciences: Stuenzi, S. M., Boike, J., Cable, W., Herzschuh, U., Kruse, S., Pestryakova, L. A., Schneider von Deimling, T., Westermann, S., Zakharov, E. S., and Langer, M.: Variability of the surface energy balance in permafrost-underlain boreal forest, Biogeosciences, 18, 343–365, https://doi.org/10.5194/bg-18-343-2021, 2021. The parameters are set to the default values that were used for the simulations in the article. Parameters different from the default values can be specified in the main script main.m (general parameters, run number, etc.) and in the excel table \results\test_oldCG_334\ test_oldCG_334.xlsx (run-specific parameters). To start the program, run the script main.m. The default output directory is .\results\. Further updates to the model code can be found here: https://github.com/CryoGrid/CryoGrid/tree/vegetation Updates and documentation of the Permafrost model CryoGrid can be found here: https://github.com/CryoGrid. The model is further described in this publication: 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. The multilayer canopy model was first published by Bonan et al. (2018): ... Software Ice permafrost Siberia Zenodo Zakharov ENVELOPE(130.617,130.617,64.650,64.650) |
institution |
Open Polar |
collection |
Zenodo |
op_collection_id |
ftzenodo |
language |
English |
topic |
Permafrost Land surface model CryoGrid Boreal forest |
spellingShingle |
Permafrost Land surface model CryoGrid Boreal forest Stuenzi, Simone M. Boike, Julia Cable, William Herzschuh, Ulrike Kruse, Stefan Pestryakova, Luidmila A. Schneider von Deimling, Thomas Westermann, Sebastian Zakharov, Evgeniy S. Langer, Moritz Coupled multilayer canopy-permafrost model (CryoGrid) for the use in permafrost underlain boreal forests. |
topic_facet |
Permafrost Land surface model CryoGrid Boreal forest |
description |
CryoGrid is a land-surface scheme dedicated to modeling of ground temperatures in permafrost environments. Here, the one-dimensional land surface model (CryoGrid) is adapted for the application in vegetated areas by coupling a multilayer canopy model (CLM-ml v0). This model setup is used to reproduce the energy transfer and thermal regime at a study site in mixed boreal forest in Eastern Siberia. The vegetation module forms the upper boundary layer of the coupled vegetation-permafrost model and replaces the surface energy balance equation used for common CryoGrid representations. The model is described in the following article which has been published in Biogeosciences: Stuenzi, S. M., Boike, J., Cable, W., Herzschuh, U., Kruse, S., Pestryakova, L. A., Schneider von Deimling, T., Westermann, S., Zakharov, E. S., and Langer, M.: Variability of the surface energy balance in permafrost-underlain boreal forest, Biogeosciences, 18, 343–365, https://doi.org/10.5194/bg-18-343-2021, 2021. The parameters are set to the default values that were used for the simulations in the article. Parameters different from the default values can be specified in the main script main.m (general parameters, run number, etc.) and in the excel table \results\test_oldCG_334\ test_oldCG_334.xlsx (run-specific parameters). To start the program, run the script main.m. The default output directory is .\results\. Further updates to the model code can be found here: https://github.com/CryoGrid/CryoGrid/tree/vegetation Updates and documentation of the Permafrost model CryoGrid can be found here: https://github.com/CryoGrid. The model is further described in this publication: 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. The multilayer canopy model was first published by Bonan et al. (2018): ... |
format |
Software |
author |
Stuenzi, Simone M. Boike, Julia Cable, William Herzschuh, Ulrike Kruse, Stefan Pestryakova, Luidmila A. Schneider von Deimling, Thomas Westermann, Sebastian Zakharov, Evgeniy S. Langer, Moritz |
author_facet |
Stuenzi, Simone M. Boike, Julia Cable, William Herzschuh, Ulrike Kruse, Stefan Pestryakova, Luidmila A. Schneider von Deimling, Thomas Westermann, Sebastian Zakharov, Evgeniy S. Langer, Moritz |
author_sort |
Stuenzi, Simone M. |
title |
Coupled multilayer canopy-permafrost model (CryoGrid) for the use in permafrost underlain boreal forests. |
title_short |
Coupled multilayer canopy-permafrost model (CryoGrid) for the use in permafrost underlain boreal forests. |
title_full |
Coupled multilayer canopy-permafrost model (CryoGrid) for the use in permafrost underlain boreal forests. |
title_fullStr |
Coupled multilayer canopy-permafrost model (CryoGrid) for the use in permafrost underlain boreal forests. |
title_full_unstemmed |
Coupled multilayer canopy-permafrost model (CryoGrid) for the use in permafrost underlain boreal forests. |
title_sort |
coupled multilayer canopy-permafrost model (cryogrid) for the use in permafrost underlain boreal forests. |
publishDate |
2020 |
url |
https://zenodo.org/record/4317107 https://doi.org/10.5281/zenodo.4317107 |
long_lat |
ENVELOPE(130.617,130.617,64.650,64.650) |
geographic |
Zakharov |
geographic_facet |
Zakharov |
genre |
Ice permafrost Siberia |
genre_facet |
Ice permafrost Siberia |
op_relation |
info:eu-repo/grantAgreement/EC/H2020/772852/ https://github.com/CryoGrid/CryoGrid/tree/vegetation doi:10.5194/bg-2020-201 doi:10.1594/PANGAEA.919859 doi:10.1594/PANGAEA.914327 doi:10.5281/zenodo.4317106 https://zenodo.org/record/4317107 https://doi.org/10.5281/zenodo.4317107 oai:zenodo.org:4317107 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.431710710.5194/bg-2020-20110.1594/PANGAEA.91985910.1594/PANGAEA.91432710.5281/zenodo.4317106 |
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1766027521212547072 |