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Tracking the evolution of rainfall precipitation fields using persistent maxima

Contributo in Atti di convegno
Data di Pubblicazione:
2016
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.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Categories and Subject Descriptors (according to ACM CCS): I.3.6 [Computer Graphics]: Methodology and Techniques
Elenco autori:
Cerri, Andrea; Pittaluga, Simone; Sobrero, Davide; Spagnuolo, Michela; Biasotti, SILVIA MARIA
Autori di Ateneo:
BIASOTTI SILVIA MARIA
PITTALUGA SIMONE
SPAGNUOLO MICHELA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/318748
Titolo del libro:
STAG: Smart Tools and Apps in computer Graphics (2016)
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