,
Phillip Keldenich
,
Michael Perk
,
Tobias Wallner
Creative Commons Attribution 4.0 International license
We motivate and demonstrate simulation and evaluation of large-scale, fine-grained hydrodynamic flows, triggered by heavy-rain events. We show significant progress for simulating time-dependent, high-resolution runoff in large-scale heavy-rain scenarios, based on different geometry-based algorithmic speedup techniques. This enables us to address a second challenge: How can we deal with the instability of precipitation events, which are notoriously difficult to predict with good accuracy?
@InProceedings{fekete_et_al:LIPIcs.SoCG.2026.103,
author = {Fekete, S\'{a}ndor P. and Keldenich, Phillip and Perk, Michael and Wallner, Tobias},
title = {{Scalable Algorithmic Methods for Simulating Heavy-Rain Events}},
booktitle = {42nd International Symposium on Computational Geometry (SoCG 2026)},
pages = {103:1--103:6},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-418-5},
ISSN = {1868-8969},
year = {2026},
volume = {367},
editor = {Ahn, Hee-Kap and Hoffmann, Michael and Nayyeri, Amir},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SoCG.2026.103},
URN = {urn:nbn:de:0030-drops-259094},
doi = {10.4230/LIPIcs.SoCG.2026.103},
annote = {Keywords: Heavy-rain events, hydrodynamic flows, scalable simulation, applied computational geometry, sensitivity analysis}
}