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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Main Authors: K. J. Evans, J. H. Kennedy, D. Lu, M. M. Forrester, S. Price, J. Fyke, A. R. Bennett, M. J. Hoffman, I. Tezaur, C. S. Zender, M. Vizcaíno
Format: Article
Language:English
Published: Copernicus Publications 2019-03-01
Series:Geoscientific Model Development
Online Access:https://www.geosci-model-dev.net/12/1067/2019/gmd-12-1067-2019.pdf
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spelling 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
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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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