Accelerated Climate Model for Energy (Final Report)

The E3SM (formerly ACME) project utilizes the netCDF Operator (NCO) toolkit to generate, regrid, and split climate datasets for pre- and post-processing analysis. NCO tools are themselves embedded in the E3SM-unified, E3SM-diags, A-Prime, MPAS-Analysis, Processflow, and LIVVkit diagnostic suites, an...

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Main Author: Zender, Charles
Language:unknown
Published: 2019
Subjects:
54 ENVIRONMENTAL SCIENCES
58 GEOSCIENCES
97 MATHEMATICS AND COMPUTING
Sea ice
Online Access:http://www.osti.gov/servlets/purl/1499706
https://www.osti.gov/biblio/1499706
https://doi.org/10.2172/1499706
id ftosti:oai:osti.gov:1499706
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spelling ftosti:oai:osti.gov:1499706 2023-07-30T04:06:45+02:00 Accelerated Climate Model for Energy (Final Report) Zender, Charles 2019-12-20 application/pdf http://www.osti.gov/servlets/purl/1499706 https://www.osti.gov/biblio/1499706 https://doi.org/10.2172/1499706 unknown http://www.osti.gov/servlets/purl/1499706 https://www.osti.gov/biblio/1499706 https://doi.org/10.2172/1499706 doi:10.2172/1499706 54 ENVIRONMENTAL SCIENCES 58 GEOSCIENCES 97 MATHEMATICS AND COMPUTING 2019 ftosti https://doi.org/10.2172/1499706 2023-07-11T09:31:55Z The E3SM (formerly ACME) project utilizes the netCDF Operator (NCO) toolkit to generate, regrid, and split climate datasets for pre- and post-processing analysis. NCO tools are themselves embedded in the E3SM-unified, E3SM-diags, A-Prime, MPAS-Analysis, Processflow, and LIVVkit diagnostic suites, and so improve and leverage the analysis and diagnostics capabilities of the E3SM Science and Infrastructure teams. In this project, the UCI team extended and customized NCO features used standalone and by the diagnostic suites to accelerate and ease analysis and distribution of E3SM experiments. With supplementary funding, the UCI team also contributed physical improvements to the treatment of snow in the E3SM land, land-ice, and sea-ice model components. 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
58 GEOSCIENCES
97 MATHEMATICS AND COMPUTING
spellingShingle 54 ENVIRONMENTAL SCIENCES
58 GEOSCIENCES
97 MATHEMATICS AND COMPUTING
Zender, Charles
Accelerated Climate Model for Energy (Final Report)
topic_facet 54 ENVIRONMENTAL SCIENCES
58 GEOSCIENCES
97 MATHEMATICS AND COMPUTING
description The E3SM (formerly ACME) project utilizes the netCDF Operator (NCO) toolkit to generate, regrid, and split climate datasets for pre- and post-processing analysis. NCO tools are themselves embedded in the E3SM-unified, E3SM-diags, A-Prime, MPAS-Analysis, Processflow, and LIVVkit diagnostic suites, and so improve and leverage the analysis and diagnostics capabilities of the E3SM Science and Infrastructure teams. In this project, the UCI team extended and customized NCO features used standalone and by the diagnostic suites to accelerate and ease analysis and distribution of E3SM experiments. With supplementary funding, the UCI team also contributed physical improvements to the treatment of snow in the E3SM land, land-ice, and sea-ice model components.
author Zender, Charles
author_facet Zender, Charles
author_sort Zender, Charles
title Accelerated Climate Model for Energy (Final Report)
title_short Accelerated Climate Model for Energy (Final Report)
title_full Accelerated Climate Model for Energy (Final Report)
title_fullStr Accelerated Climate Model for Energy (Final Report)
title_full_unstemmed Accelerated Climate Model for Energy (Final Report)
title_sort accelerated climate model for energy (final report)
publishDate 2019
url http://www.osti.gov/servlets/purl/1499706
https://www.osti.gov/biblio/1499706
https://doi.org/10.2172/1499706
genre Sea ice
genre_facet Sea ice
op_relation http://www.osti.gov/servlets/purl/1499706
https://www.osti.gov/biblio/1499706
https://doi.org/10.2172/1499706
doi:10.2172/1499706
op_doi https://doi.org/10.2172/1499706
_version_ 1772819643258372096

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