ClimBurst: A Dynamic Visualization Tool to Display Climatological Anomalies over Time and Space
Detecting abnormal climate events across temporal and spatial scales is crucial to the understanding of local and regional climate trends. This demonstration introduces ClimBurst, a dynamic tool to detect climate bursts, which are unusually high or low values of one or more climate variables over some time interval. ClimBurst detects bursts without prior assumptions about their temporal duration. The demonstration will allow users to interact directly with our system to see both a summary showing the presence/absence of bursts over a user-specified year and spatial range. The demonstration will also allow users to perform time-travel queries to see how bursts propagate over space and time.
Authors
- Audrey Brouillet (ORCID: https://orcid.org/0000-0001-9466-0197)
- Benoit Lange (ORCID: https://orcid.org/0009-0007-7820-8249)
- Florent Masséglia (ORCID: https://orcid.org/0000-0002-1149-585X)
- Dennis E. Shasha (ORCID: https://orcid.org/0000-0002-7036-3312)
- Guillaume Coulaud (ORCID: https://orcid.org/0009-0006-9401-2062)
- Reza Akbarinia (ORCID: https://orcid.org/0000-0002-7098-0361)
Institutions
- Centre National de la Recherche Scientifique (FR)
- Institut national de recherche en sciences et technologies du numérique (FR)
- Université de Montpellier (FR)
- Courant Institute of Mathematical Sciences (US)
- Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier (FR)
- Institut de Recherche pour le Développement (FR)
- New York University (US)
Publication Details
- Published
- 2025-11-07
- DOI
- https://doi.org/10.1145/3746252.3761466
- Primary Topic
- Data Visualization and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.00