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oai:gredos.usal.es:10366/557112025-12-11T13:53:55Zcom_10366_4386com_10366_4349com_10366_3946com_10366_3823col_10366_4392

Therón Sánchez, Roberto 2009-02-06 2009-10-14T12:03:13Z 2006 THERÓN SÁNCHEZ, R. (2006). Visual analytics of paleoceanographic conditions. En Wong, P. Ch. y Keim, D. (Eds.) "VAST, IEEE Symposium on Visual Analytics Science and Technology, 2006 : proceedings, Baltimore, Maryland, USA, October 31-November 2, 2006" (pp. 19-26). Piscataway : IEEE http://hdl.handle.net/10366/55711 http://hdl.handle.net/10366/55711 Decade scale oceanic phenomena like El Ni no are correlated with weather anomalies all over the globe. Only by understanding the events that produced the climatic conditions in the past it will be possible to forecast abrupt climate changes and prevent disastrous consequences for human beings and their environment. Paleoceanography research is a collaborative effort that requires the analysis of paleo time-series, obtained from a number of independent techniques and instruments, produced by several researchersand/or laboratories. Analytical reasoning techniques that combine the judgment of paleoceanographers with automated reasoning techniques are needed to gain deep insights about these phenomena. This paper presents an interactive visual analysis environment for paleoceanography that enables the discovery of unexpected relationships and supports the reconstruction of climatic conditions of the past. eng https://creativecommons.org/licenses/by-nc-nd/3.0/ info:eu-repo/semantics/openAccess Attribution-NonCommercial-NoDerivs 3.0 Unported Geophysics Geophysics computing Oceanographic techniques Oceanography Climate change forecasting Paleoceanography Visual analytics of paleoceanographic conditions info:eu-repo/semantics/article info:eu-repo/semantics/article