dc.contributor.author | Biasotti, Silvia | en_US |
dc.contributor.author | Cerri, Andrea | en_US |
dc.contributor.author | Pittaluga, Simone | en_US |
dc.contributor.author | Sobrero, Davide | en_US |
dc.contributor.author | Spagnuolo, Michela | en_US |
dc.contributor.editor | Giovanni Pintore and Filippo Stanco | en_US |
dc.date.accessioned | 2016-10-05T06:27:06Z | |
dc.date.available | 2016-10-05T06:27:06Z | |
dc.date.issued | 2016 | |
dc.identifier.isbn | 978-3-03868-026-0 | |
dc.identifier.issn | - | |
dc.identifier.uri | http://dx.doi.org/10.2312/stag.20161361 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/stag20161361 | |
dc.description.abstract | In 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.publisher | The Eurographics Association | en_US |
dc.subject | I.3.6 [Computer Graphics] | |
dc.subject | Methodology and Techniques | |
dc.title | Tracking the Evolution of Rainfall Precipitation Fields Using Persistent Maxima | en_US |
dc.description.seriesinformation | Smart Tools and Apps for Graphics - Eurographics Italian Chapter Conference | |
dc.description.sectionheaders | Computational Geometry and Topology | |
dc.identifier.doi | 10.2312/stag.20161361 | |
dc.identifier.pages | 29-37 | |