Evolution of Extreme Dust Events in 3D Environment
| dc.contributor.author | Kress, James | en_US |
| dc.contributor.author | Cui, Wenqiang | en_US |
| dc.contributor.author | Afzal, Shehzad | en_US |
| dc.contributor.author | Ghani, Sohaib | en_US |
| dc.contributor.author | Karumuri, Rama Krishna | en_US |
| dc.contributor.author | Hoteit, Ibrahim | en_US |
| dc.contributor.editor | Feige, Kathrin | en_US |
| dc.contributor.editor | Nsonga, Baldwin | en_US |
| dc.contributor.editor | Rink, Karsten | en_US |
| dc.date.accessioned | 2025-05-26T06:27:51Z | |
| dc.date.available | 2025-05-26T06:27:51Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | Dust is one of the main components of atmospheric particles in desert regions. The concentration, composition, and spatial distribution of these dust particles in the atmosphere vary over time and could significantly impact the weather, climatological conditions, radiative forcing and transfer, and ecosystem dynamics. Scientists and decision-makers are interested in analyzing the evolution of dust events (including their formation, dynamics, and interactions with the environment), understanding the main contributing factors and atmospheric conditions that intensify these events and lead to extreme dust events, examining the role of topographic features, and gaining insights into their relationship with global teleconnections. Scientists use highresolution simulation models (such as WRF-Chem) to simulate the prevalent atmospheric conditions centered around extreme events and examine the model outputs to understand such events better. These simulation datasets are extremely large in scale, depending on the spatial domain, spatiotemporal resolutions, simulation duration, and number of atmospheric parameters. They need a specialized environment that facilitates analyzing such datasets. To this end, we provide a 3D visualization system that facilitates the analysis of dust simulation model outputs and provides information about dust loading, transport, evolution, deposition, and intensification into an extreme event. This system also aids in understanding the interactions between different atmospheric parameters, the impact of terrain surface characteristics, and more, providing a holistic view of the dust events. We present a case study demonstrating the system's capabilities in analyzing extreme dust events and also include feedback from the domain experts, along with a discussion on future extensions. | en_US |
| dc.description.sectionheaders | Session I | |
| dc.description.seriesinformation | Workshop on Visualisation in Environmental Sciences (EnvirVis) | |
| dc.identifier.doi | 10.2312/envirvis.20251147 | |
| dc.identifier.isbn | 978-3-03868-287-5 | |
| dc.identifier.pages | 8 pages | |
| dc.identifier.uri | https://doi.org/10.2312/envirvis.20251147 | |
| dc.identifier.uri | https://diglib.eg.org/handle/10.2312/envirvis20251147 | |
| dc.publisher | The Eurographics Association | en_US |
| dc.rights | Attribution 4.0 International License | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | CCS Concepts: Human-centered computing → Geographic visualization | |
| dc.subject | Human centered computing → Geographic visualization | |
| dc.title | Evolution of Extreme Dust Events in 3D Environment | en_US |