Amanzi–ATS: Modeling Environmental Systems across Scales [Brief]

Department of Energy national labs (Los Alamos, Oak Ridge, Lawrence Berkeley, and Pacific Northwest) designed Amanzi-ATS to model complex environmental systems across multiple scales. The open-source software includes the most complete suite of surface/subsurface processes, allowing users to select...

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Bibliographic Details
Main Author: Mercer-Smith, Janet Anne
Language:unknown
Published: 2021
Subjects:
Online Access:http://www.osti.gov/servlets/purl/1657092
https://www.osti.gov/biblio/1657092
https://doi.org/10.2172/1657092
id ftosti:oai:osti.gov:1657092
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spelling ftosti:oai:osti.gov:1657092 2023-07-30T04:01:33+02:00 Amanzi–ATS: Modeling Environmental Systems across Scales [Brief] Mercer-Smith, Janet Anne 2021-11-16 application/pdf http://www.osti.gov/servlets/purl/1657092 https://www.osti.gov/biblio/1657092 https://doi.org/10.2172/1657092 unknown http://www.osti.gov/servlets/purl/1657092 https://www.osti.gov/biblio/1657092 https://doi.org/10.2172/1657092 doi:10.2172/1657092 97 MATHEMATICS AND COMPUTING 54 ENVIRONMENTAL SCIENCES 2021 ftosti https://doi.org/10.2172/1657092 2023-07-11T09:46:25Z Department of Energy national labs (Los Alamos, Oak Ridge, Lawrence Berkeley, and Pacific Northwest) designed Amanzi-ATS to model complex environmental systems across multiple scales. The open-source software includes the most complete suite of surface/subsurface processes, allowing users to select physical processes and their coupling interactions without rewriting software. Amanzi–ATS has been used to analyze pristine local watersheds, wildfire impact on watersheds, subsurface contaminant transport at legacy waste sites, the effect of a warming climate on the Arctic tundra, and groundwater in fractured porous media. Department of Energy national labs, U.S. Geological Survey, academia, and industry have applied the software. Other/Unknown Material Arctic Tundra SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Arctic Pacific
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 97 MATHEMATICS AND COMPUTING
54 ENVIRONMENTAL SCIENCES
spellingShingle 97 MATHEMATICS AND COMPUTING
54 ENVIRONMENTAL SCIENCES
Mercer-Smith, Janet Anne
Amanzi–ATS: Modeling Environmental Systems across Scales [Brief]
topic_facet 97 MATHEMATICS AND COMPUTING
54 ENVIRONMENTAL SCIENCES
description Department of Energy national labs (Los Alamos, Oak Ridge, Lawrence Berkeley, and Pacific Northwest) designed Amanzi-ATS to model complex environmental systems across multiple scales. The open-source software includes the most complete suite of surface/subsurface processes, allowing users to select physical processes and their coupling interactions without rewriting software. Amanzi–ATS has been used to analyze pristine local watersheds, wildfire impact on watersheds, subsurface contaminant transport at legacy waste sites, the effect of a warming climate on the Arctic tundra, and groundwater in fractured porous media. Department of Energy national labs, U.S. Geological Survey, academia, and industry have applied the software.
author Mercer-Smith, Janet Anne
author_facet Mercer-Smith, Janet Anne
author_sort Mercer-Smith, Janet Anne
title Amanzi–ATS: Modeling Environmental Systems across Scales [Brief]
title_short Amanzi–ATS: Modeling Environmental Systems across Scales [Brief]
title_full Amanzi–ATS: Modeling Environmental Systems across Scales [Brief]
title_fullStr Amanzi–ATS: Modeling Environmental Systems across Scales [Brief]
title_full_unstemmed Amanzi–ATS: Modeling Environmental Systems across Scales [Brief]
title_sort amanzi–ats: modeling environmental systems across scales [brief]
publishDate 2021
url http://www.osti.gov/servlets/purl/1657092
https://www.osti.gov/biblio/1657092
https://doi.org/10.2172/1657092
geographic Arctic
Pacific
geographic_facet Arctic
Pacific
genre Arctic
Tundra
genre_facet Arctic
Tundra
op_relation http://www.osti.gov/servlets/purl/1657092
https://www.osti.gov/biblio/1657092
https://doi.org/10.2172/1657092
doi:10.2172/1657092
op_doi https://doi.org/10.2172/1657092
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