Morphodynamic data assimilation used to understand changing coasts

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Morphodynamic data assimilation blends observations with model predictions and comes in many forms, including linear regression, Kalman filter, brute-force parameter estimation, variational assimilation, and Bayesian analysis. Importantly, data assimilation can be used to identify sources of prediction errors that lead to improved fundamental understanding. Overall, models incorporating data assimilation yield better information to the people who must make decisions impacting safety and wellbeing in coastal regions that experience hazards due to storms, sea-level rise, and erosion. We present examples of data assimilation associated with morphologic change. We conclude that enough morphodynamic predictive capability is available now to be useful to people, and that we will increase our understanding and the level of detail of our predictions through assimilation of observations and numerical-statistical models.

Additional publication details

Publication type Conference Paper
Publication Subtype Conference Paper
Title Morphodynamic data assimilation used to understand changing coasts
DOI 10.1142/9789814689977_0244
Year Published 2015
Language English
Publisher World Scientific Publishing Company
Contributing office(s) St. Petersburg Coastal and Marine Science Center
Conference Title Coastal Sediments 2015
Conference Location San Diego, CA
Conference Date May 11-15, 2015