The CryoGrid community model (version 1.0) - a multi-physics toolbox for climate-driven simulations in the terrestrial cryosphere

Sebastian Westermann*, Thomas Ingeman-Nielsen, Johanna Scheer, Kristoffer Aalstad, Juditha Aga, Nitin Chaudhary, Bernd Etzelmüller, Simon Filhol, Andreas Kääb, Cas Renette, Louise Steffensen Schmidt, Thomas Vikhamar Schuler, Robin B. Zweigel, Léo Martin, Sarah Morard, Matan Ben-Asher, Michael Angelopoulos, Julia Boike, Brian Groenke, Frederieke MiesnerJan Nitzbon, Paul Overduin, Simone M. Stuenzi, Moritz Langer

*Corresponding author for this work

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Abstract

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.
Original languageEnglish
JournalGeoscientific Model Development
Volume16
Issue number9
Pages (from-to)2607-2647
Number of pages41
ISSN1991-959X
DOIs
Publication statusPublished - 2023

Bibliographical note

This research has been supported by the European Commission Horizon 2020 Framework Programme (Nunataryuk (grant no. 773421)); the European Space Agency CCI+ Permafrost (grant no. 4000123681/18/I-NB); the Research Council of Norway (Permafrost4Life (grant no. 301639), PCCH-Arctic (grant no. 320769) and Nansen Legacy (grant no. 276730)); the EEA–EU collaboration grant between Norway and Romania 2014–2021, project code RO-NO-2019-0415, contract no. 30/2020 (ClimaLand); and the Federal Ministry of Education and Research (BMBF) of Germany (PermaRisk (grant no. 01LN1709A)).

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