Journal metrics

Journal metrics

  • IF value: 4.252 IF 4.252
  • IF 5-year value: 4.890 IF 5-year 4.890
  • CiteScore value: 4.49 CiteScore 4.49
  • SNIP value: 1.539 SNIP 1.539
  • SJR value: 2.404 SJR 2.404
  • IPP value: 4.28 IPP 4.28
  • h5-index value: 40 h5-index 40
  • Scimago H index value: 51 Scimago H index 51
Discussion papers | Copyright
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

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 Katherine J. Evans et al.
  • 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.

Download & links
Katherine J. Evans et al.
Interactive discussion
Status: final response (author comments only)
Status: final response (author comments only)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Login for Authors/Topical Editors] [Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement
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.
Viewed
Total article views: 321 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
242 71 8 321 7 12
  • HTML: 242
  • PDF: 71
  • XML: 8
  • Total: 321
  • BibTeX: 7
  • EndNote: 12
Views and downloads (calculated since 29 Mar 2018)
Cumulative views and downloads (calculated since 29 Mar 2018)
Viewed (geographical distribution)
Total article views: 321 (including HTML, PDF, and XML) Thereof 320 with geography defined and 1 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited
Saved
No saved metrics found.
Discussed
No discussed metrics found.
Latest update: 15 Jul 2018
Publications Copernicus
Download
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...
Citation
Share