ASSIMILATING MODELS AND DATA TO ENHANCE PREDICTIONS OF SHORELINE EVOLUTION

Proceedings of the International Conference on Coastal Engineering

Joseph W. Long¹  Nathaniel G. Plant¹ 

[1] U.S. Geological Survey

关键词: data assimilation;    shoreline change;    sediment transport;    morphology;   

DOI  :  10.9753/icce.v32.sediment.91

学科分类：建筑学

来源: Coastal Engineering Research Council

【 摘 要 】

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.

【 授权许可】

Unknown