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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Main Authors: Baird, William P., Bethel, Wes, Carter, Jonathan, Siegerist, Chistina, Stone, Tavia, Wehner, Michael
Format: Article in Journal/Newspaper
Language:English
Published: eScholarship, University of California 2005
Subjects:
Online Access:http://www.escholarship.org/uc/item/4zz1309s
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spelling 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
institution Open Polar
collection 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
op_rights public
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