Assimilating models and data to enhance predictions of shoreline evolution
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Abstract
A modeling system that considers both long- and short-term process-driven shoreline change is presented. The modeling system is integrated into a data assimilation framework that uses sparse observations of shoreline change to correct a model forecast and to determine unobserved model variables and free parameters. Application of the assimilation algorithm also provides quantitative statistical estimates of uncertainty that can be applied to coastal hazard and vulnerability assessments. Significant attention is given to the estimation of four non-observable quantities using the data assimilation framework that utilizes only one observable process (i.e. ,shoreline change). The general framework discussed here can be applied to many other geophysical processes by simply changing the model component to one applicable to the processes of interest.
| Publication type | Conference Paper |
|---|---|
| Publication Subtype | Conference Paper |
| Title | Assimilating models and data to enhance predictions of shoreline evolution |
| DOI | 10.9753/icce.v32.sediment.91 |
| Year Published | 2010 |
| Language | English |
| Publisher | International Conference on Coastal Engineering |
| Contributing office(s) | St. Petersburg Coastal and Marine Science Center |
| Description | 6 p. |
| Larger Work Type | Book |
| Larger Work Subtype | Conference publication |
| Larger Work Title | Proceedings of 32nd International Conference on Coastal Engineering |
| Conference Title | 32nd International Conference on Coastal Engineering |
| Conference Location | Shanghai, China |
| Conference Date | June 30-July 5 2010 |
| Online Only (Y/N) | N |
| Additional Online Files (Y/N) | N |
| Google Analytic Metrics | Metrics page |