The CryoGrid community model (version 1.0) – a multi-physics toolbox for climate-driven simulations in the terrestrial cryosphere
The CryoGrid community model is a flexible toolbox for simulating the ground thermal regime and the ice-water balance for permafrost and glaciers, extending a well-established suite of permafrost models (CryoGrid 1, 2, and 3). The CryoGrid community model can accommodate a wide variety of applicatio...
Published in: | Geoscientific Model Development |
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Copernicus Publications
2023
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Online Access: | https://epic.awi.de/id/eprint/58205/ https://epic.awi.de/id/eprint/58205/1/gmd-16-2607-2023.pdf https://doi.org/10.5194/gmd-16-2607-2023 https://hdl.handle.net/10013/epic.7285391b-b0b5-487f-9a8c-7b14e2de2c74 |
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ftawi:oai:epic.awi.de:58205 2024-06-02T08:07:07+00:00 The CryoGrid community model (version 1.0) – a multi-physics toolbox for climate-driven simulations in the terrestrial cryosphere Westermann, Sebastian Ingeman-Nielsen, Thomas Scheer, Johanna Aalstad, Kristoffer Aga, Juditha Chaudhary, Nitin Etzelmüller, Bernd Filhol, Simon Kääb, Andreas Renette, Cas Schmidt, Louise Steffensen Schuler, Thomas Vikhamar Zweigel, Robin B Martin, Léo Morard, Sarah Ben-Asher, Matan Angelopoulos, Michael Boike, Julia Groenke, Brian Miesner, Frederieke Nitzbon, Jan Overduin, Paul Stuenzi, Simone Maria Langer, Moritz 2023-05-15 application/pdf https://epic.awi.de/id/eprint/58205/ https://epic.awi.de/id/eprint/58205/1/gmd-16-2607-2023.pdf https://doi.org/10.5194/gmd-16-2607-2023 https://hdl.handle.net/10013/epic.7285391b-b0b5-487f-9a8c-7b14e2de2c74 unknown Copernicus Publications https://epic.awi.de/id/eprint/58205/1/gmd-16-2607-2023.pdf Westermann, S. , Ingeman-Nielsen, T. , Scheer, J. , Aalstad, K. , Aga, J. , Chaudhary, N. , Etzelmüller, B. , Filhol, S. , Kääb, A. , Renette, C. , Schmidt, L. S. , Schuler, T. V. , Zweigel, R. B. , Martin, L. , Morard, S. , Ben-Asher, M. , Angelopoulos, M. orcid:0000-0003-2574-5108 , Boike, J. orcid:0000-0002-5875-2112 , Groenke, B. orcid:0000-0003-2570-9342 , Miesner, F. orcid:0000-0002-2849-0406 , Nitzbon, J. orcid:0000-0001-7205-6298 , Overduin, P. orcid:0000-0001-9849-4712 , Stuenzi, S. M. orcid:0000-0002-6071-289X and Langer, M. orcid:0000-0002-2704-3655 (2023) The CryoGrid community model (version 1.0) – a multi-physics toolbox for climate-driven simulations in the terrestrial cryosphere , Geoscientific Model Development, 16 (9), pp. 2607-2647 . doi:10.5194/gmd-16-2607-2023 <https://doi.org/10.5194/gmd-16-2607-2023> , hdl:10013/epic.7285391b-b0b5-487f-9a8c-7b14e2de2c74 EPIC3Geoscientific Model Development, Copernicus Publications, 16(9), pp. 2607-2647, ISSN: 1991-959X Article isiRev 2023 ftawi https://doi.org/10.5194/gmd-16-2607-2023 2024-05-07T23:37:52Z The CryoGrid community model is a flexible toolbox for simulating the ground thermal regime and the ice-water balance for permafrost and glaciers, extending a well-established suite of permafrost models (CryoGrid 1, 2, and 3). The CryoGrid community model can accommodate a wide variety of application scenarios, which is achieved by fully modular structures through object-oriented programming. Different model components, characterized by their process representations and parameterizations, are realized as classes (i.e., objects) in CryoGrid. Standardized communication protocols between these classes ensure that they can be stacked vertically. For example, the CryoGrid community model features several classes with different complexity for the seasonal snow cover, which can be flexibly combined with a range of classes representing subsurface materials, each with their own set of process representations (e.g., soil with and without water balance, glacier ice). We present the CryoGrid architecture as well as the model physics and defining equations for the different model classes, focusing on one-dimensional model configurations which can also interact with external heat and water reservoirs. We illustrate the wide variety of simulation capabilities for a site on Svalbard, with point-scale permafrost simulations using, e.g., different soil freezing characteristics, drainage regimes, and snow representations, as well as simulations for glacier mass balance and a shallow water body. The CryoGrid community model is not intended as a static model framework but aims to provide developers with a flexible platform for efficient model development. In this study, we document both basic and advanced model functionalities to provide a baseline for the future development of novel cryosphere models. Article in Journal/Newspaper glacier Ice permafrost Svalbard Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Svalbard Geoscientific Model Development 16 9 2607 2647 |
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Open Polar |
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Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
op_collection_id |
ftawi |
language |
unknown |
description |
The CryoGrid community model is a flexible toolbox for simulating the ground thermal regime and the ice-water balance for permafrost and glaciers, extending a well-established suite of permafrost models (CryoGrid 1, 2, and 3). The CryoGrid community model can accommodate a wide variety of application scenarios, which is achieved by fully modular structures through object-oriented programming. Different model components, characterized by their process representations and parameterizations, are realized as classes (i.e., objects) in CryoGrid. Standardized communication protocols between these classes ensure that they can be stacked vertically. For example, the CryoGrid community model features several classes with different complexity for the seasonal snow cover, which can be flexibly combined with a range of classes representing subsurface materials, each with their own set of process representations (e.g., soil with and without water balance, glacier ice). We present the CryoGrid architecture as well as the model physics and defining equations for the different model classes, focusing on one-dimensional model configurations which can also interact with external heat and water reservoirs. We illustrate the wide variety of simulation capabilities for a site on Svalbard, with point-scale permafrost simulations using, e.g., different soil freezing characteristics, drainage regimes, and snow representations, as well as simulations for glacier mass balance and a shallow water body. The CryoGrid community model is not intended as a static model framework but aims to provide developers with a flexible platform for efficient model development. In this study, we document both basic and advanced model functionalities to provide a baseline for the future development of novel cryosphere models. |
format |
Article in Journal/Newspaper |
author |
Westermann, Sebastian Ingeman-Nielsen, Thomas Scheer, Johanna Aalstad, Kristoffer Aga, Juditha Chaudhary, Nitin Etzelmüller, Bernd Filhol, Simon Kääb, Andreas Renette, Cas Schmidt, Louise Steffensen Schuler, Thomas Vikhamar Zweigel, Robin B Martin, Léo Morard, Sarah Ben-Asher, Matan Angelopoulos, Michael Boike, Julia Groenke, Brian Miesner, Frederieke Nitzbon, Jan Overduin, Paul Stuenzi, Simone Maria Langer, Moritz |
spellingShingle |
Westermann, Sebastian Ingeman-Nielsen, Thomas Scheer, Johanna Aalstad, Kristoffer Aga, Juditha Chaudhary, Nitin Etzelmüller, Bernd Filhol, Simon Kääb, Andreas Renette, Cas Schmidt, Louise Steffensen Schuler, Thomas Vikhamar Zweigel, Robin B Martin, Léo Morard, Sarah Ben-Asher, Matan Angelopoulos, Michael Boike, Julia Groenke, Brian Miesner, Frederieke Nitzbon, Jan Overduin, Paul Stuenzi, Simone Maria Langer, Moritz The CryoGrid community model (version 1.0) – a multi-physics toolbox for climate-driven simulations in the terrestrial cryosphere |
author_facet |
Westermann, Sebastian Ingeman-Nielsen, Thomas Scheer, Johanna Aalstad, Kristoffer Aga, Juditha Chaudhary, Nitin Etzelmüller, Bernd Filhol, Simon Kääb, Andreas Renette, Cas Schmidt, Louise Steffensen Schuler, Thomas Vikhamar Zweigel, Robin B Martin, Léo Morard, Sarah Ben-Asher, Matan Angelopoulos, Michael Boike, Julia Groenke, Brian Miesner, Frederieke Nitzbon, Jan Overduin, Paul Stuenzi, Simone Maria Langer, Moritz |
author_sort |
Westermann, Sebastian |
title |
The CryoGrid community model (version 1.0) – a multi-physics toolbox for climate-driven simulations in the terrestrial cryosphere |
title_short |
The CryoGrid community model (version 1.0) – a multi-physics toolbox for climate-driven simulations in the terrestrial cryosphere |
title_full |
The CryoGrid community model (version 1.0) – a multi-physics toolbox for climate-driven simulations in the terrestrial cryosphere |
title_fullStr |
The CryoGrid community model (version 1.0) – a multi-physics toolbox for climate-driven simulations in the terrestrial cryosphere |
title_full_unstemmed |
The CryoGrid community model (version 1.0) – a multi-physics toolbox for climate-driven simulations in the terrestrial cryosphere |
title_sort |
cryogrid community model (version 1.0) – a multi-physics toolbox for climate-driven simulations in the terrestrial cryosphere |
publisher |
Copernicus Publications |
publishDate |
2023 |
url |
https://epic.awi.de/id/eprint/58205/ https://epic.awi.de/id/eprint/58205/1/gmd-16-2607-2023.pdf https://doi.org/10.5194/gmd-16-2607-2023 https://hdl.handle.net/10013/epic.7285391b-b0b5-487f-9a8c-7b14e2de2c74 |
geographic |
Svalbard |
geographic_facet |
Svalbard |
genre |
glacier Ice permafrost Svalbard |
genre_facet |
glacier Ice permafrost Svalbard |
op_source |
EPIC3Geoscientific Model Development, Copernicus Publications, 16(9), pp. 2607-2647, ISSN: 1991-959X |
op_relation |
https://epic.awi.de/id/eprint/58205/1/gmd-16-2607-2023.pdf Westermann, S. , Ingeman-Nielsen, T. , Scheer, J. , Aalstad, K. , Aga, J. , Chaudhary, N. , Etzelmüller, B. , Filhol, S. , Kääb, A. , Renette, C. , Schmidt, L. S. , Schuler, T. V. , Zweigel, R. B. , Martin, L. , Morard, S. , Ben-Asher, M. , Angelopoulos, M. orcid:0000-0003-2574-5108 , Boike, J. orcid:0000-0002-5875-2112 , Groenke, B. orcid:0000-0003-2570-9342 , Miesner, F. orcid:0000-0002-2849-0406 , Nitzbon, J. orcid:0000-0001-7205-6298 , Overduin, P. orcid:0000-0001-9849-4712 , Stuenzi, S. M. orcid:0000-0002-6071-289X and Langer, M. orcid:0000-0002-2704-3655 (2023) The CryoGrid community model (version 1.0) – a multi-physics toolbox for climate-driven simulations in the terrestrial cryosphere , Geoscientific Model Development, 16 (9), pp. 2607-2647 . doi:10.5194/gmd-16-2607-2023 <https://doi.org/10.5194/gmd-16-2607-2023> , hdl:10013/epic.7285391b-b0b5-487f-9a8c-7b14e2de2c74 |
op_doi |
https://doi.org/10.5194/gmd-16-2607-2023 |
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