Quantifying uncertainty and sensitivity in sea ice models

The Los Alamos Sea Ice model has a number of input parameters for which accurate values are not always well established. We conduct a variance-based sensitivity analysis of hemispheric sea ice properties to 39 input parameters. The method accounts for non-linear and non-additive effects in the model...

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Bibliographic Details
Main Authors: Urrego Blanco, Jorge Rolando, Hunke, Elizabeth Clare, Urban, Nathan Mark
Language:unknown
Published: 2021
Subjects:
54 ENVIRONMENTAL SCIENCES
Sea ice
Online Access:http://www.osti.gov/servlets/purl/1291188
https://www.osti.gov/biblio/1291188
https://doi.org/10.2172/1291188
id ftosti:oai:osti.gov:1291188
record_format openpolar
spelling ftosti:oai:osti.gov:1291188 2023-07-30T04:06:41+02:00 Quantifying uncertainty and sensitivity in sea ice models Urrego Blanco, Jorge Rolando Hunke, Elizabeth Clare Urban, Nathan Mark 2021-02-12 application/pdf http://www.osti.gov/servlets/purl/1291188 https://www.osti.gov/biblio/1291188 https://doi.org/10.2172/1291188 unknown http://www.osti.gov/servlets/purl/1291188 https://www.osti.gov/biblio/1291188 https://doi.org/10.2172/1291188 doi:10.2172/1291188 54 ENVIRONMENTAL SCIENCES 2021 ftosti https://doi.org/10.2172/1291188 2023-07-11T09:10:58Z The Los Alamos Sea Ice model has a number of input parameters for which accurate values are not always well established. We conduct a variance-based sensitivity analysis of hemispheric sea ice properties to 39 input parameters. The method accounts for non-linear and non-additive effects in the model. Other/Unknown Material Sea ice SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy)
institution Open Polar
collection SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy)
op_collection_id ftosti
language unknown
topic 54 ENVIRONMENTAL SCIENCES
spellingShingle 54 ENVIRONMENTAL SCIENCES
Urrego Blanco, Jorge Rolando
Hunke, Elizabeth Clare
Urban, Nathan Mark
Quantifying uncertainty and sensitivity in sea ice models
topic_facet 54 ENVIRONMENTAL SCIENCES
description The Los Alamos Sea Ice model has a number of input parameters for which accurate values are not always well established. We conduct a variance-based sensitivity analysis of hemispheric sea ice properties to 39 input parameters. The method accounts for non-linear and non-additive effects in the model.
author Urrego Blanco, Jorge Rolando
Hunke, Elizabeth Clare
Urban, Nathan Mark
author_facet Urrego Blanco, Jorge Rolando
Hunke, Elizabeth Clare
Urban, Nathan Mark
author_sort Urrego Blanco, Jorge Rolando
title Quantifying uncertainty and sensitivity in sea ice models
title_short Quantifying uncertainty and sensitivity in sea ice models
title_full Quantifying uncertainty and sensitivity in sea ice models
title_fullStr Quantifying uncertainty and sensitivity in sea ice models
title_full_unstemmed Quantifying uncertainty and sensitivity in sea ice models
title_sort quantifying uncertainty and sensitivity in sea ice models
publishDate 2021
url http://www.osti.gov/servlets/purl/1291188
https://www.osti.gov/biblio/1291188
https://doi.org/10.2172/1291188
genre Sea ice
genre_facet Sea ice
op_relation http://www.osti.gov/servlets/purl/1291188
https://www.osti.gov/biblio/1291188
https://doi.org/10.2172/1291188
doi:10.2172/1291188
op_doi https://doi.org/10.2172/1291188
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