Abstract

Accurate and timely prediction of flash flooding events can be a very useful tool for stormwater officials and first responders. Having lead time with which to issue evacuation directives, to close flood prone roadways, to deploy rescue gear and personnel, and to fortify areas against flooding is essential to minimize property damage and risk of casualties. In this poster, we are presenting a flash flooding prediction workflow based on the Hydrology Lab-Research Distributed Hydrologic Model (HL-RDHM). This workflow leverages cloud computing and the Pegasus Workflow Management System to provide continuous high resolution flood predictions for the Dallas-Fort Worth Metroplex area in North Texas, and can be easily expanded to other regions.

Metadata

publication

2021 IEEE 17th International Conference on eScience (eScience), 259-261, 2021

year

2021

publication date

2021/9/20

authors

Eric Lyons, Dong-Jun Seo, Sunghee Kim, Hamideh Habibi, George Papadimitriou, Ryan Tanaka, Ewa Deelman, Michael Zink, Anirban Mandal

link

https://ieeexplore.ieee.org/abstract/document/9582328/

resource_link

https://par.nsf.gov/servlets/purl/10301314

conference

2021 IEEE 17th International Conference on eScience (eScience)

pages

259-261

publisher

IEEE