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Visual Analytics of Paleoceanographic Conditions

Authors: Roberto Therón;

Visual Analytics of Paleoceanographic Conditions

Abstract

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.

Se presenta un an?lisis visual interactivo de datos paleoclim?ticos que permite la reconstrucci?n de las condiciones clim?ticas del pasado.

Country
Spain
Related Organizations
Keywords

Paleoclimatolog?a, Simulaci?n por ordenador, Oceanography, Simulación por ordenador, Geophysics computing, Geophysics, Paleoceanography, Paleoclimatología, Oceanographic techniques, Climate change forecasting

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Average
Green