Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/gmd-2018-70
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Methods for assessment of models
29 Mar 2018
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Model Development (GMD).
LIVVkit 2.1: Automated and extensible ice sheet model validation
Katherine J. Evans1, Joseph H. Kennedy1, Dan Lu1, Mary M. Forrester2, Stephen Price3, Jeremy Fyke3,a, Andrew R. Bennett4, Matthew J. Hoffman3, Irina Tezaur5, Charles S. Zender6, and Miren Vizcaíno7 1Computational Earth Sciences Group, Oak Ridge National Laboratory, Oak Ridge, TN, USA
2Colorado School of Mines, Golden, CO, USA
3Fluid Dynamics and Solid Mechanics Group, Los Alamos National Laboratory, Los Alamos, NM, USA
4U. Washington Dept. of Civil and Environmental Engineering
5Sandia National Laboratories, Albuquerque, NM, USA
6Departments of Earth System Science and Computer Science, University of California, Irvine, USA
7Institute for Marine and Atmospheric Research, Utrecht University, Utrecht, the Netherlands
anow at: Associated Engineering, Vernon, BC, Canada
Abstract. A collection of scientific analyses, metrics, and visualizations for robust validation of ice sheet models is presented using the LIVVkit package, version 2.1. This software collection targets stand-alone ice sheet or coupled Earth system models, and handles datasets and operations that require high-performance computing and storage. LIVVkit aims to enable efficient and fully reproducible workflows for post-processing, analysis, and visualization of observational and model-derived datasets in a shareable format, whereby all data, methodologies, and output are distributed to users for evaluation. We demonstrate LIVVkit validation for a Greenland ice sheet simulation using the coupled Community Earth System Model, CESM, as well as an idealized stand-alone high-resolution ice sheet model, CISM-Albany. As one example of the capability, LIVVkit analyzes the degree to which models capture the surface mass balance (SMB) and identifies potential sources of bias, using recently available in-situ and remotely sensed data as comparison. Related fields within atmosphere and land surface models, e.g. surface temperature, radiation, and cloud cover, are also diagnosed. Applied to the CESM1.0, LIVVkit identifies a positive SMB bias that is focused largely around Greenland's southwest region that is due to insufficient ablation.
Citation: Evans, K. J., Kennedy, J. H., Lu, D., Forrester, M. M., Price, S., Fyke, J., Bennett, A. R., Hoffman, M. J., Tezaur, I., Zender, C. S., and Vizcaíno, M.: LIVVkit 2.1: Automated and extensible ice sheet model validation, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2018-70, in review, 2018.
Katherine J. Evans et al.
Katherine J. Evans et al.

Model code and software

LIVVkit version 2.1 J. H. Kennedy, A. R. Bennett, and K. J. Evans https://doi.org/10.5281/zenodo.439545
Katherine J. Evans et al.

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Short summary
A robust validation of ice sheet models is presented using LIVVkit, version 2.1. It targets ice sheet and coupled Earth system models, and handles datasets and operations that require high-performance computing and storage. We apply LIVVkit to a Greenland ice sheet simulation to show the degree to which it captures the surface mass balance. LIVVkit identifies a positive bias due to insufficient melting compared to observations that is focused largely around Greenland's southwest region.
A robust validation of ice sheet models is presented using LIVVkit, version 2.1. It targets ice...
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