A high-performance framework for Sun-to-Earth space weather modeling

The space weather modeling framework (SWMF) aims at providing software architecture for integrated modeling of different domains of Sun-Earth system and high-performance physics-based space weather simulation. The SWMF component architecture promotes collaboration between developers of individual ph...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Volberg, O., Toth, G., Gombosi, T.I., Stout, Q.F., Powell, K.G., De Zeeuw, D., Ridley, A.J., Kane, K., Hansen, K.C., Chesney, D.R., Oehmke, R.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page 8 pp.
container_title
container_volume
creator Volberg, O.
Toth, G.
Gombosi, T.I.
Stout, Q.F.
Powell, K.G.
De Zeeuw, D.
Ridley, A.J.
Kane, K.
Hansen, K.C.
Chesney, D.R.
Oehmke, R.
description The space weather modeling framework (SWMF) aims at providing software architecture for integrated modeling of different domains of Sun-Earth system and high-performance physics-based space weather simulation. The SWMF component architecture promotes collaboration between developers of individual physics models and empowers them by providing coupling context and parallel and distributed computing support. The framework design places minimal requirements on components. The Web-based graphical user interface facilitates the remote access to the framework even from scientific groups that do not have an access to supercomputers or clusters otherwise.
doi_str_mv 10.1109/IPDPS.2005.31
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_1420198</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>1420198</ieee_id><sourcerecordid>1420198</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-53ddad5db1448a9c7d65377fffc780a0a5cada8bc178adfbd19c7cbd3471a5ff3</originalsourceid><addsrcrecordid>eNotjs1Kw0AURgdUsNYuXbmZF5h470ymk1mWtmqhYKHdl5v5aaJNUiaR4tsb0NWBj8PHYewJIUME-7LZrXb7TALoTOENm1lTgJlbLRVKfcsmqBUICUbfs4e-_wSQoHI7YasFr-pTJS4hxS411LrAY6ImXLv0xceJ779bMXRiTWmoeH-hUbgGGqqQeNP5cK7b0yO7i3Tuw-yfU3Z4XR-W72L78bZZLraitjAIrbwnr32JeV6QdcbPtTImxujGWALSjjwVpUNTkI-lx9FxpVe5QdIxqil7_rutQwjHS6obSj9HzCWgLdQvZoxLdA</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>A high-performance framework for Sun-to-Earth space weather modeling</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Volberg, O. ; Toth, G. ; Gombosi, T.I. ; Stout, Q.F. ; Powell, K.G. ; De Zeeuw, D. ; Ridley, A.J. ; Kane, K. ; Hansen, K.C. ; Chesney, D.R. ; Oehmke, R.</creator><creatorcontrib>Volberg, O. ; Toth, G. ; Gombosi, T.I. ; Stout, Q.F. ; Powell, K.G. ; De Zeeuw, D. ; Ridley, A.J. ; Kane, K. ; Hansen, K.C. ; Chesney, D.R. ; Oehmke, R.</creatorcontrib><description>The space weather modeling framework (SWMF) aims at providing software architecture for integrated modeling of different domains of Sun-Earth system and high-performance physics-based space weather simulation. The SWMF component architecture promotes collaboration between developers of individual physics models and empowers them by providing coupling context and parallel and distributed computing support. The framework design places minimal requirements on components. The Web-based graphical user interface facilitates the remote access to the framework even from scientific groups that do not have an access to supercomputers or clusters otherwise.</description><identifier>ISSN: 1530-2075</identifier><identifier>ISBN: 9780769523125</identifier><identifier>ISBN: 0769523129</identifier><identifier>DOI: 10.1109/IPDPS.2005.31</identifier><language>eng</language><publisher>IEEE</publisher><subject>Application software ; Atmosphere ; Atmospheric modeling ; Ionosphere ; Magnetohydrodynamics ; Magnetosphere ; Physics computing ; Power system modeling ; Predictive models ; Weather forecasting</subject><ispartof>19th IEEE International Parallel and Distributed Processing Symposium, 2005, p.8 pp.</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1420198$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,4036,4037,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1420198$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Volberg, O.</creatorcontrib><creatorcontrib>Toth, G.</creatorcontrib><creatorcontrib>Gombosi, T.I.</creatorcontrib><creatorcontrib>Stout, Q.F.</creatorcontrib><creatorcontrib>Powell, K.G.</creatorcontrib><creatorcontrib>De Zeeuw, D.</creatorcontrib><creatorcontrib>Ridley, A.J.</creatorcontrib><creatorcontrib>Kane, K.</creatorcontrib><creatorcontrib>Hansen, K.C.</creatorcontrib><creatorcontrib>Chesney, D.R.</creatorcontrib><creatorcontrib>Oehmke, R.</creatorcontrib><title>A high-performance framework for Sun-to-Earth space weather modeling</title><title>19th IEEE International Parallel and Distributed Processing Symposium</title><addtitle>IPDPS</addtitle><description>The space weather modeling framework (SWMF) aims at providing software architecture for integrated modeling of different domains of Sun-Earth system and high-performance physics-based space weather simulation. The SWMF component architecture promotes collaboration between developers of individual physics models and empowers them by providing coupling context and parallel and distributed computing support. The framework design places minimal requirements on components. The Web-based graphical user interface facilitates the remote access to the framework even from scientific groups that do not have an access to supercomputers or clusters otherwise.</description><subject>Application software</subject><subject>Atmosphere</subject><subject>Atmospheric modeling</subject><subject>Ionosphere</subject><subject>Magnetohydrodynamics</subject><subject>Magnetosphere</subject><subject>Physics computing</subject><subject>Power system modeling</subject><subject>Predictive models</subject><subject>Weather forecasting</subject><issn>1530-2075</issn><isbn>9780769523125</isbn><isbn>0769523129</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjs1Kw0AURgdUsNYuXbmZF5h470ymk1mWtmqhYKHdl5v5aaJNUiaR4tsb0NWBj8PHYewJIUME-7LZrXb7TALoTOENm1lTgJlbLRVKfcsmqBUICUbfs4e-_wSQoHI7YasFr-pTJS4hxS411LrAY6ImXLv0xceJ779bMXRiTWmoeH-hUbgGGqqQeNP5cK7b0yO7i3Tuw-yfU3Z4XR-W72L78bZZLraitjAIrbwnr32JeV6QdcbPtTImxujGWALSjjwVpUNTkI-lx9FxpVe5QdIxqil7_rutQwjHS6obSj9HzCWgLdQvZoxLdA</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Volberg, O.</creator><creator>Toth, G.</creator><creator>Gombosi, T.I.</creator><creator>Stout, Q.F.</creator><creator>Powell, K.G.</creator><creator>De Zeeuw, D.</creator><creator>Ridley, A.J.</creator><creator>Kane, K.</creator><creator>Hansen, K.C.</creator><creator>Chesney, D.R.</creator><creator>Oehmke, R.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2005</creationdate><title>A high-performance framework for Sun-to-Earth space weather modeling</title><author>Volberg, O. ; Toth, G. ; Gombosi, T.I. ; Stout, Q.F. ; Powell, K.G. ; De Zeeuw, D. ; Ridley, A.J. ; Kane, K. ; Hansen, K.C. ; Chesney, D.R. ; Oehmke, R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-53ddad5db1448a9c7d65377fffc780a0a5cada8bc178adfbd19c7cbd3471a5ff3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Application software</topic><topic>Atmosphere</topic><topic>Atmospheric modeling</topic><topic>Ionosphere</topic><topic>Magnetohydrodynamics</topic><topic>Magnetosphere</topic><topic>Physics computing</topic><topic>Power system modeling</topic><topic>Predictive models</topic><topic>Weather forecasting</topic><toplevel>online_resources</toplevel><creatorcontrib>Volberg, O.</creatorcontrib><creatorcontrib>Toth, G.</creatorcontrib><creatorcontrib>Gombosi, T.I.</creatorcontrib><creatorcontrib>Stout, Q.F.</creatorcontrib><creatorcontrib>Powell, K.G.</creatorcontrib><creatorcontrib>De Zeeuw, D.</creatorcontrib><creatorcontrib>Ridley, A.J.</creatorcontrib><creatorcontrib>Kane, K.</creatorcontrib><creatorcontrib>Hansen, K.C.</creatorcontrib><creatorcontrib>Chesney, D.R.</creatorcontrib><creatorcontrib>Oehmke, R.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Volberg, O.</au><au>Toth, G.</au><au>Gombosi, T.I.</au><au>Stout, Q.F.</au><au>Powell, K.G.</au><au>De Zeeuw, D.</au><au>Ridley, A.J.</au><au>Kane, K.</au><au>Hansen, K.C.</au><au>Chesney, D.R.</au><au>Oehmke, R.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A high-performance framework for Sun-to-Earth space weather modeling</atitle><btitle>19th IEEE International Parallel and Distributed Processing Symposium</btitle><stitle>IPDPS</stitle><date>2005</date><risdate>2005</risdate><spage>8 pp.</spage><pages>8 pp.-</pages><issn>1530-2075</issn><isbn>9780769523125</isbn><isbn>0769523129</isbn><abstract>The space weather modeling framework (SWMF) aims at providing software architecture for integrated modeling of different domains of Sun-Earth system and high-performance physics-based space weather simulation. The SWMF component architecture promotes collaboration between developers of individual physics models and empowers them by providing coupling context and parallel and distributed computing support. The framework design places minimal requirements on components. The Web-based graphical user interface facilitates the remote access to the framework even from scientific groups that do not have an access to supercomputers or clusters otherwise.</abstract><pub>IEEE</pub><doi>10.1109/IPDPS.2005.31</doi></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 1530-2075
ispartof 19th IEEE International Parallel and Distributed Processing Symposium, 2005, p.8 pp.
issn 1530-2075
language eng
recordid cdi_ieee_primary_1420198
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Application software
Atmosphere
Atmospheric modeling
Ionosphere
Magnetohydrodynamics
Magnetosphere
Physics computing
Power system modeling
Predictive models
Weather forecasting
title A high-performance framework for Sun-to-Earth space weather modeling
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-01T18%3A04%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=A%20high-performance%20framework%20for%20Sun-to-Earth%20space%20weather%20modeling&rft.btitle=19th%20IEEE%20International%20Parallel%20and%20Distributed%20Processing%20Symposium&rft.au=Volberg,%20O.&rft.date=2005&rft.spage=8%20pp.&rft.pages=8%20pp.-&rft.issn=1530-2075&rft.isbn=9780769523125&rft.isbn_list=0769523129&rft_id=info:doi/10.1109/IPDPS.2005.31&rft_dat=%3Cieee_6IE%3E1420198%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=1420198&rfr_iscdi=true