Subgrid-Scale Corrections to Increase the Accuracy and Efficiency of Storm Surge Models
Abstract
Modern storm surge models have diverged into two mutually exclusive groups: 1. Low resolution models that can be run very quickly on single processors to perform ensemble simulations prior to storm landfalls; and 2. High resolution, large area simulations that are more accurate but can only run on large multiprocessor machines and are too slow to run in real-time ensembles. In this presentation, we discuss the use of subgrid models in storm surge simulations as a strategy towards improving the accuracy/efficiency tradeoff. These subgrid systems exploit correlations in data (for example surface elevations) in high resolution models to provide correction terms to low resolution models. The resulting models solve new continuum equations with closures for these corrections, and can achieve much higher accuracy than the uncorrected systems.
We will discuss progress on theoretical systems, including different levels of closure, and will give numerical examples for both idealized test cases and over real bathymetries. Continuing work will include changes to widely-used existing codes to implement subgrid corrections, development of correction libraries, and dissemination to the user base.- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2018
- Bibcode:
- 2018AGUFMNH53A..02K
- Keywords:
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- 1817 Extreme events;
- HYDROLOGYDE: 4217 Coastal processes;
- OCEANOGRAPHY: GENERALDE: 4564 Tsunamis and storm surges;
- OCEANOGRAPHY: PHYSICALDE: 7954 Magnetic storms;
- SPACE WEATHER