Professors Valeriy Ivanov and Nikolaos Katopodes were among a group of four researchers to receive one of these grants for their project “Urban Flood Modeling at ‘Human Action’ Scale: Harnessing the Power of Reduced-Order Approaches and Uncertainty Quantification.”
The Michigan Institute for Computational Discovery and Engineering has awarded its second round of Catalyst Grants, providing between $80,000 and $90,000 each to seven innovative projects in computational science. The proposals were judged on novelty, likelihood of success at catalyzing larger programs and potential to leverage ARC’s computing resources. Professors Valeriy Ivanov and Nikolaos Katopodes were among a group of four researchers to receive one of these grants for their project “Urban Flood Modeling at ‘Human Action’ Scale: Harnessing the Power of Reduced-Order Approaches and Uncertainty Quantification.” Details are below.
Researchers: Valeriy Ivanov, Civil and Environmental Engineering; Nikolaos Katopodes, Civil and Environmental Engineering; Darren McKague Climate and Space Sciences and Engineering; Khachik Sargsyan, Sandia National Labs.
Description: The research team will demonstrate urban flood monitoring and prediction capabilities using NASA Cyclone Global Navigation Satellite System (CYGNSS) data and relying on state-of-the-science uncertainty quantification tools in a proof-of-concept urban flooding problem of high complexity.
The full story can be found here.
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