Software Productivity Challenges in Environmental Applications
Predictive simulations of environmental applications pose significant challenges for multiscale multiphysics frameworks. Problem complexity requires flexibility to compare different models or model features, to add new models, and to explore model coupling. We will present our experience in addressi...
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ftdatacite:10.6084/m9.figshare.4719145 2023-05-15T14:58:24+02:00 Software Productivity Challenges in Environmental Applications Moulton, David Coon, Ethan Steefel, Carl 2017 https://dx.doi.org/10.6084/m9.figshare.4719145 https://figshare.com/articles/presentation/Software_Productivity_Challenges_in_Environmental_Applications/4719145 unknown figshare Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Computer Software FOS Computer and information sciences 80309 Software Engineering Environmental Science Presentation MediaObject article Audiovisual 2017 ftdatacite https://doi.org/10.6084/m9.figshare.4719145 2021-11-05T12:55:41Z Predictive simulations of environmental applications pose significant challenges for multiscale multiphysics frameworks. Problem complexity requires flexibility to compare different models or model features, to add new models, and to explore model coupling. We will present our experience in addressing these issues in two open-source codes, Amanzi and the Arctic Terrestrial Simulator. We will discuss the importance and challenge of leveraging existing frameworks and libraries as well as components of established codes. Presented at SIAM CSE15 minisymposium Scientific Software Productivity at Extreme Scale. Conference Object Arctic DataCite Metadata Store (German National Library of Science and Technology) Arctic |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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Computer Software FOS Computer and information sciences 80309 Software Engineering Environmental Science |
spellingShingle |
Computer Software FOS Computer and information sciences 80309 Software Engineering Environmental Science Moulton, David Coon, Ethan Steefel, Carl Software Productivity Challenges in Environmental Applications |
topic_facet |
Computer Software FOS Computer and information sciences 80309 Software Engineering Environmental Science |
description |
Predictive simulations of environmental applications pose significant challenges for multiscale multiphysics frameworks. Problem complexity requires flexibility to compare different models or model features, to add new models, and to explore model coupling. We will present our experience in addressing these issues in two open-source codes, Amanzi and the Arctic Terrestrial Simulator. We will discuss the importance and challenge of leveraging existing frameworks and libraries as well as components of established codes. Presented at SIAM CSE15 minisymposium Scientific Software Productivity at Extreme Scale. |
format |
Conference Object |
author |
Moulton, David Coon, Ethan Steefel, Carl |
author_facet |
Moulton, David Coon, Ethan Steefel, Carl |
author_sort |
Moulton, David |
title |
Software Productivity Challenges in Environmental Applications |
title_short |
Software Productivity Challenges in Environmental Applications |
title_full |
Software Productivity Challenges in Environmental Applications |
title_fullStr |
Software Productivity Challenges in Environmental Applications |
title_full_unstemmed |
Software Productivity Challenges in Environmental Applications |
title_sort |
software productivity challenges in environmental applications |
publisher |
figshare |
publishDate |
2017 |
url |
https://dx.doi.org/10.6084/m9.figshare.4719145 https://figshare.com/articles/presentation/Software_Productivity_Challenges_in_Environmental_Applications/4719145 |
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Arctic |
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Arctic |
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Arctic |
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Arctic |
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Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
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CC-BY |
op_doi |
https://doi.org/10.6084/m9.figshare.4719145 |
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1766330495014010880 |