Visualization Environment for Analyzing Extreme Rainfall Events: A Case Study

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dc.contributor.authorKress, Jamesen_US
dc.contributor.authorAfzal, Shehzaden_US
dc.contributor.authorDasari, Hari Prasaden_US
dc.contributor.authorGhani, Sohaiben_US
dc.contributor.authorZamreeq, Arjanen_US
dc.contributor.authorGhulam, Aymanen_US
dc.contributor.authorHoteit, Ibrahimen_US
dc.contributor.editorDutta, Soumyaen_US
dc.contributor.editorFeige, Kathrinen_US
dc.contributor.editorRink, Karstenen_US
dc.contributor.editorZeckzer, Dirken_US
dc.date.accessioned2023-06-10T06:06:18Z
dc.date.available2023-06-10T06:06:18Z
dc.date.issued2023
dc.description.abstractExtreme rainfall events can devastate infrastructure and public life and potentially induce substantial financial and life losses. Although weather alert systems generate early rainfall warnings, predicting the impact areas, duration, magnitude, occurrence, and characterization as an extreme event is challenging. Scientists analyze previous extreme rainfall events to examine the factors such as meteorological conditions, large-scale features, relationships and interactions between large-scale features and mesoscale features, and the success of simulation models in capturing these conditions at different resolutions and their parameterizations. In addition, they may also be interested in understanding the sources of anomalous amounts of moisture that may fuel such events. Many factors play a role in the development of these events, which vary depending on the locations. In this work, we implement a visualization environment that supports domain scientists in analyzing simulation model outputs configured to predict and analyze extreme precipitation events. This environment enables visualization of important local features and facilitates understanding the mechanisms contributing to such events. We present a case study of the Jeddah extreme precipitation event on November 24, 2022, which caused great flooding and infrastructure damage. We also present a detailed discussion about the study's results, feedback from the domain experts, and future extensions.en_US
dc.description.sectionheadersAnalysis and Exploration of Hydrological Data
dc.description.seriesinformationWorkshop on Visualisation in Environmental Sciences (EnvirVis)
dc.identifier.doi10.2312/envirvis.20231103
dc.identifier.isbn978-3-03868-223-3
dc.identifier.pages25-32
dc.identifier.pages8 pages
dc.identifier.urihttps://doi.org/10.2312/envirvis.20231103
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/envirvis20231103
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Meteorological Visualization
dc.subjectI.3.3 [Computer Graphics]
dc.subjectMeteorological Visualization
dc.titleVisualization Environment for Analyzing Extreme Rainfall Events: A Case Studyen_US
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