LIVVkit 2.1: automated and extensible ice sheet model validation
<p>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 s...
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doaj-f7d809325cf54976a923b49c672ef44f2020-11-24T21:21:42ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032019-03-01121067108610.5194/gmd-12-1067-2019LIVVkit 2.1: automated and extensible ice sheet model validationK. J. Evans0J. H. Kennedy1D. Lu2M. M. Forrester3S. Price4J. Fyke5J. Fyke6A. R. Bennett7M. J. Hoffman8I. Tezaur9C. S. Zender10M. Vizcaíno11Computational Earth Sciences Group, Oak Ridge National Laboratory, Oak Ridge, TN, USAComputational Earth Sciences Group, Oak Ridge National Laboratory, Oak Ridge, TN, USAComputational Earth Sciences Group, Oak Ridge National Laboratory, Oak Ridge, TN, USADepartment of Geology and Geological Engineering, Colorado School of Mines, Golden, CO, USAFluid Dynamics and Solid Mechanics Group, Los Alamos National Laboratory, Los Alamos, NM, USAFluid Dynamics and Solid Mechanics Group, Los Alamos National Laboratory, Los Alamos, NM, USAnow at: Associated Engineering, Vernon, BC, CanadaDepartment of Civil and Environmental Engineering, University of Washington, Seattle, WA, USAFluid Dynamics and Solid Mechanics Group, Los Alamos National Laboratory, Los Alamos, NM, USASandia National Laboratories, Albuquerque, NM, USADepartments of Earth System Science and Computer Science, University of California, Irvine, CA, USADepartment of Geoscience and Remote Sensing, Delft University of Technology, Delft, the Netherlands<p>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.</p>https://www.geosci-model-dev.net/12/1067/2019/gmd-12-1067-2019.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
K. J. Evans J. H. Kennedy D. Lu M. M. Forrester S. Price J. Fyke J. Fyke A. R. Bennett M. J. Hoffman I. Tezaur C. S. Zender M. Vizcaíno |
spellingShingle |
K. J. Evans J. H. Kennedy D. Lu M. M. Forrester S. Price J. Fyke J. Fyke A. R. Bennett M. J. Hoffman I. Tezaur C. S. Zender M. Vizcaíno LIVVkit 2.1: automated and extensible ice sheet model validation Geoscientific Model Development |
author_facet |
K. J. Evans J. H. Kennedy D. Lu M. M. Forrester S. Price J. Fyke J. Fyke A. R. Bennett M. J. Hoffman I. Tezaur C. S. Zender M. Vizcaíno |
author_sort |
K. J. Evans |
title |
LIVVkit 2.1: automated and extensible ice sheet model validation |
title_short |
LIVVkit 2.1: automated and extensible ice sheet model validation |
title_full |
LIVVkit 2.1: automated and extensible ice sheet model validation |
title_fullStr |
LIVVkit 2.1: automated and extensible ice sheet model validation |
title_full_unstemmed |
LIVVkit 2.1: automated and extensible ice sheet model validation |
title_sort |
livvkit 2.1: automated and extensible ice sheet model validation |
publisher |
Copernicus Publications |
series |
Geoscientific Model Development |
issn |
1991-959X 1991-9603 |
publishDate |
2019-03-01 |
description |
<p>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.</p> |
url |
https://www.geosci-model-dev.net/12/1067/2019/gmd-12-1067-2019.pdf |
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