TRI Data Storm
TRI Data Storm centers around the concept of using an integrated, multisystem file system to improve the analysis of results produced by the demanding HPC application - the community atmospheric model (CAM). Our aim is to take the output of CAM from a high-resolution grid, filter out the data of int...
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ftcdlib:qt4zz1309s 2023-05-15T17:30:57+02:00 TRI Data Storm Baird, William P. Bethel, Wes Carter, Jonathan Siegerist, Chistina Stone, Tavia Wehner, Michael 2005-11-12 application/pdf http://www.escholarship.org/uc/item/4zz1309s english eng eScholarship, University of California qt4zz1309s http://www.escholarship.org/uc/item/4zz1309s public Baird, William P.; Bethel, Wes; Carter, Jonathan; Siegerist, Chistina; Stone, Tavia; & Wehner, Michael. (2005). TRI Data Storm. Lawrence Berkeley National Laboratory: Lawrence Berkeley National Laboratory. Retrieved from: http://www.escholarship.org/uc/item/4zz1309s hurricane simulation analytics data storage article 2005 ftcdlib 2017-12-08T23:56:13Z TRI Data Storm centers around the concept of using an integrated, multisystem file system to improve the analysis of results produced by the demanding HPC application - the community atmospheric model (CAM). Our aim is to take the output of CAM from a high-resolution grid, filter out the data of interest and visualize the formation of storms in the North Atlantic basin. This tool will be used in a study comparing real hurricane data with simulations. The effect of climate change on the intensity and frequency of hurricanes in area is of utmost importance to policymakers. Article in Journal/Newspaper North Atlantic University of California: eScholarship |
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Open Polar |
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University of California: eScholarship |
op_collection_id |
ftcdlib |
language |
English |
topic |
hurricane simulation analytics data storage |
spellingShingle |
hurricane simulation analytics data storage Baird, William P. Bethel, Wes Carter, Jonathan Siegerist, Chistina Stone, Tavia Wehner, Michael TRI Data Storm |
topic_facet |
hurricane simulation analytics data storage |
description |
TRI Data Storm centers around the concept of using an integrated, multisystem file system to improve the analysis of results produced by the demanding HPC application - the community atmospheric model (CAM). Our aim is to take the output of CAM from a high-resolution grid, filter out the data of interest and visualize the formation of storms in the North Atlantic basin. This tool will be used in a study comparing real hurricane data with simulations. The effect of climate change on the intensity and frequency of hurricanes in area is of utmost importance to policymakers. |
format |
Article in Journal/Newspaper |
author |
Baird, William P. Bethel, Wes Carter, Jonathan Siegerist, Chistina Stone, Tavia Wehner, Michael |
author_facet |
Baird, William P. Bethel, Wes Carter, Jonathan Siegerist, Chistina Stone, Tavia Wehner, Michael |
author_sort |
Baird, William P. |
title |
TRI Data Storm |
title_short |
TRI Data Storm |
title_full |
TRI Data Storm |
title_fullStr |
TRI Data Storm |
title_full_unstemmed |
TRI Data Storm |
title_sort |
tri data storm |
publisher |
eScholarship, University of California |
publishDate |
2005 |
url |
http://www.escholarship.org/uc/item/4zz1309s |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Baird, William P.; Bethel, Wes; Carter, Jonathan; Siegerist, Chistina; Stone, Tavia; & Wehner, Michael. (2005). TRI Data Storm. Lawrence Berkeley National Laboratory: Lawrence Berkeley National Laboratory. Retrieved from: http://www.escholarship.org/uc/item/4zz1309s |
op_relation |
qt4zz1309s http://www.escholarship.org/uc/item/4zz1309s |
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public |
_version_ |
1766128123324137472 |