Visualization and Analysis Tools for Ultrascale Climate Data
Increasingly large climate model simulations are enhancing our understanding of the processes and causes of anthropogenic climate change, thanks to very large public investments in high-performance computing at national and international institutions. Various climate models implement mathematical ap...
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Online Access: | https://oceanrep.geomar.de/id/eprint/32944/ https://oceanrep.geomar.de/id/eprint/32944/1/eost2014EO420002.pdf https://doi.org/10.1002/2014EO420002 |
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ftoceanrep:oai:oceanrep.geomar.de:32944 2023-05-15T18:17:50+02:00 Visualization and Analysis Tools for Ultrascale Climate Data Williams, Dean N. 2014 text https://oceanrep.geomar.de/id/eprint/32944/ https://oceanrep.geomar.de/id/eprint/32944/1/eost2014EO420002.pdf https://doi.org/10.1002/2014EO420002 en eng AGU (American Geophysical Union) Wiley https://oceanrep.geomar.de/id/eprint/32944/1/eost2014EO420002.pdf Williams, D. N. (2014) Visualization and Analysis Tools for Ultrascale Climate Data. Open Access Eos, Transactions American Geophysical Union, 95 (42). pp. 377-378. DOI 10.1002/2014EO420002 <https://doi.org/10.1002/2014EO420002>. doi:10.1002/2014EO420002 info:eu-repo/semantics/openAccess Article PeerReviewed 2014 ftoceanrep https://doi.org/10.1002/2014EO420002 2023-04-07T15:25:51Z Increasingly large climate model simulations are enhancing our understanding of the processes and causes of anthropogenic climate change, thanks to very large public investments in high-performance computing at national and international institutions. Various climate models implement mathematical approximations of nature in different ways, which are often based on differing computational grids. These complex, parallelized coupled system codes combine numerous complex submodels (ocean, atmosphere, land, biosphere, sea ice, land ice, etc.) that represent components of the larger complex climate system. Article in Journal/Newspaper Sea ice OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) Eos, Transactions American Geophysical Union 95 42 377 378 |
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OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) |
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English |
description |
Increasingly large climate model simulations are enhancing our understanding of the processes and causes of anthropogenic climate change, thanks to very large public investments in high-performance computing at national and international institutions. Various climate models implement mathematical approximations of nature in different ways, which are often based on differing computational grids. These complex, parallelized coupled system codes combine numerous complex submodels (ocean, atmosphere, land, biosphere, sea ice, land ice, etc.) that represent components of the larger complex climate system. |
format |
Article in Journal/Newspaper |
author |
Williams, Dean N. |
spellingShingle |
Williams, Dean N. Visualization and Analysis Tools for Ultrascale Climate Data |
author_facet |
Williams, Dean N. |
author_sort |
Williams, Dean N. |
title |
Visualization and Analysis Tools for Ultrascale Climate Data |
title_short |
Visualization and Analysis Tools for Ultrascale Climate Data |
title_full |
Visualization and Analysis Tools for Ultrascale Climate Data |
title_fullStr |
Visualization and Analysis Tools for Ultrascale Climate Data |
title_full_unstemmed |
Visualization and Analysis Tools for Ultrascale Climate Data |
title_sort |
visualization and analysis tools for ultrascale climate data |
publisher |
AGU (American Geophysical Union) |
publishDate |
2014 |
url |
https://oceanrep.geomar.de/id/eprint/32944/ https://oceanrep.geomar.de/id/eprint/32944/1/eost2014EO420002.pdf https://doi.org/10.1002/2014EO420002 |
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Sea ice |
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Sea ice |
op_relation |
https://oceanrep.geomar.de/id/eprint/32944/1/eost2014EO420002.pdf Williams, D. N. (2014) Visualization and Analysis Tools for Ultrascale Climate Data. Open Access Eos, Transactions American Geophysical Union, 95 (42). pp. 377-378. DOI 10.1002/2014EO420002 <https://doi.org/10.1002/2014EO420002>. doi:10.1002/2014EO420002 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1002/2014EO420002 |
container_title |
Eos, Transactions American Geophysical Union |
container_volume |
95 |
container_issue |
42 |
container_start_page |
377 |
op_container_end_page |
378 |
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1766193203669630976 |