Title
LIVVkit 2.1: Automated and extensible ice sheet model validation
Author
Evans, Katherine J. (Oak Ridge National Laboratory)
Kennedy, Joseph H. (Oak Ridge National Laboratory)
Lu, Dan (Oak Ridge National Laboratory)
Forrester, Mary M. (Colorado School of Mines)
Price, Stephen (Los Alamos National Laboratory)
Fyke, Jeremy (Los Alamos National Laboratory)
Bennett, Andrew R. (University of Washington)
Hoffman, Matthew J. (Los Alamos National Laboratory)
Tezaur, Irina (Sandia National Laboratories, California)
Zender, Charles S. (University of California)
Vizcaino, M. (TU Delft Physical and Space Geodesy) 
Date
2019
Abstract
A collection of scientific analyses, metrics, and visualizations for robust validation of ice sheet models is presented using the Land Ice Verification and Validation toolkit (LIVVkit), version 2.1, and the LIVVkit Extensions repository (LEX), version 0.1. This software collection targets stand-alone ice sheet or coupled Earth system models, and handles datasets and analyses that require high-performance computing and storage. LIVVkit aims to enable efficient and fully reproducible workflows for postprocessing, 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. Extending from the initial LIVVkit software framework, we demonstrate Greenland ice sheet simulation validation metrics using the coupled Community Earth System Model (CESM) as well as an idealized stand-alone high-resolution Community Ice Sheet Model, version 2 (CISM2), coupled to the Albany/FELIX velocity solver (CISM-Albany or CISM-A). 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.
To reference this document use:
http://resolver.tudelft.nl/uuid:6be0a6cf-4971-4e74-8c9b-bf5922107fcb
DOI
https://doi.org/10.5194/gmd-12-1067-2019
ISSN
1991-959X
Source
Geoscientific Model Development, 12 (3), 1067-1086
Part of collection
Institutional Repository
Document type
journal article
Rights
© 2019 Katherine J. Evans, Joseph H. Kennedy, Dan Lu, Mary M. Forrester, Stephen Price, Jeremy Fyke, Andrew R. Bennett, Matthew J. Hoffman, Irina Tezaur, Charles S. Zender, M. Vizcaino