Description and evaluation of the Community Ice Sheet Model (CISM) v2.1

William H. Lipscomb, Stephen F. Price, Matthew J. Hoffman, Gunter R. Leguy, Andrew R. Bennett, Sarah L. Bradley, Katherine J. Evans, Jeremy G. Fyke, Joseph H. Kennedy, Mauro Perego, Douglas M. Ranken, William J. Sacks, Andrew G. Salinger, Lauren J. Vargo, Patrick H. Worley

Research output: Contribution to journalArticlepeer-review

83 Scopus citations

Abstract

We describe and evaluate version 2.1 of the Community Ice Sheet Model (CISM). CISM is a parallel, 3-D thermomechanical model, written mainly in Fortran, that solves equations for the momentum balance and the thickness and temperature evolution of ice sheets. CISM's velocity solver incorporates a hierarchy of Stokes flow approximations, including shallow-shelf, depth-integrated higher order, and 3-D higher order. CISM also includes a suite of test cases, links to third-party solver libraries, and parameterizations of physical processes such as basal sliding, iceberg calving, and sub-ice-shelf melting. The model has been verified for standard test problems, including the Ice Sheet Model Intercomparison Project for Higher-Order Models (ISMIP-HOM) experiments, and has participated in the initMIP-Greenland initialization experiment. In multimillennial simulations with modern climate forcing on a 4 km grid, CISM reaches a steady state that is broadly consistent with observed flow patterns of the Greenland ice sheet. CISM has been integrated into version 2.0 of the Community Earth System Model, where it is being used for Greenland simulations under past, present, and future climates. The code is open-source with extensive documentation and remains under active development.

Original languageEnglish
Pages (from-to)387-424
Number of pages38
JournalGeoscientific Model Development
Volume12
Issue number1
DOIs
StatePublished - Jan 22 2019

Funding

Acknowledgements. CISM development was supported primarily by the Earth System Modeling program, Office of Biological and Environmental Research (BER) of the US Department of Energy’s Office of Science. Additional support was provided by the DOE’s Office of Advanced Scientific Computing Research (ASCR), by BER’s Regional and Global Climate Modeling Program, and by the National Science Foundation. This material is based upon work supported by the National Center for Atmospheric Research, which is a major facility sponsored by the National Science Foundation under cooperative agreement no. 1852977. Computing resources (https://doi.org/10.5065/D6RX99HX) were provided by the Climate Simulation Laboratory at NCAR’s Computational and Information Systems Laboratory, sponsored by the National Science Foundation and other agencies. Lauren J. Vargo was supported by NSF grant ANT-0424589 to the Center for Remote Sensing of Ice Sheets (CReSIS). This paper has been authored by UT-Battelle, LLC, under contract no. DE-AC05-00OR22725 with the US Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this paper, or allow others to do so, for United States Government purposes.

FundersFunder number
US Department of Energy
National Science FoundationANT-0424589
U.S. Department of Energy
National Center for Atmospheric Research1852977
Office of Science
Advanced Scientific Computing Research
Biological and Environmental Research
Horizon 2020 Framework Programme678145

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