Application of local-area helioseismic methods as predictors of space weather

Please use this identifier to cite or link to this item: http://hdl.handle.net/2248/4641

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DC Field	Value	Language
dc.contributor.author	Jensen, J. M	-
dc.contributor.author	Lundstedt, H	-
dc.contributor.author	Thompson, M. J	-
dc.contributor.author	Pijpers, F. P	-
dc.contributor.author	Rajaguru, S. P	-
dc.date.accessioned	2009-07-15T15:57:55Z	-
dc.date.available	2009-07-15T15:57:55Z	-
dc.date.issued	2004-10	-
dc.identifier.citation	D. Danesy., ed., Proceedings of the SOHO 14 / GONG 2004 Workshop (ESA SP-559). "Helio- and Asteroseismology: Towards a Golden Future". 12-16 July, 2004. pp. 497 - 500	en
dc.identifier.uri	http://hdl.handle.net/2248/4641	-
dc.description.abstract	Space weather is growing concern to our increasingly technological society. Here we discuss neural-network approaches to forecasting space weather, in which we plan to incorporate now-cast information about solar sub-surface flows from local-area helioseismic analyses. This is the part of ongoing work for monitoring and predicting solar activity for space weather.	en
dc.language.iso	en	en
dc.publisher	European Space Agency	en
dc.relation.ispartofseries	EAS SP; No. 559	-
dc.relation.uri	http://adsabs.harvard.edu/abs/2004ESASP.559..497J	en
dc.rights	© European Space Agency	en
dc.subject	Sun; Activity	en
dc.subject	Space Weather	en
dc.title	Application of local-area helioseismic methods as predictors of space weather	en
dc.type	Article	en
Appears in Collections:	IIAP Publications

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