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dc.contributor.authorBiasotti, Silviaen_US
dc.contributor.authorCerri, Andreaen_US
dc.contributor.authorPittaluga, Simoneen_US
dc.contributor.authorSobrero, Davideen_US
dc.contributor.authorSpagnuolo, Michelaen_US
dc.contributor.editorGiovanni Pintore and Filippo Stancoen_US
dc.date.accessioned2016-10-05T06:27:06Z
dc.date.available2016-10-05T06:27:06Z
dc.date.issued2016
dc.identifier.isbn978-3-03868-026-0
dc.identifier.issn-
dc.identifier.urihttp://dx.doi.org/10.2312/stag.20161361
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/stag20161361
dc.description.abstractIn this paper we propose a novel methodology for tracking the maxima of rainfall precipitation fields, whose changes in time may give interesting insights on the evolution of storm. Our approach is based on a topological analysis of rainfall data allowing for the extraction of the most prominent, and hence meaningful, rainfall field maxima. Then, an ad-hoc bottleneck matching is used to track the evolution of maxima along multiple time instances. The potential of our method is exhibited through a set of experiments carried out on a collection of observed punctual rainfall data and radar measurements provided by Genova municipality and Regione Liguria.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.6 [Computer Graphics]
dc.subjectMethodology and Techniques
dc.titleTracking the Evolution of Rainfall Precipitation Fields Using Persistent Maximaen_US
dc.description.seriesinformationSmart Tools and Apps for Graphics - Eurographics Italian Chapter Conference
dc.description.sectionheadersComputational Geometry and Topology
dc.identifier.doi10.2312/stag.20161361
dc.identifier.pages29-37


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