Using Preference Ranking for Rating Water Level Prediction Models

C. Steidley, A.L. Sadovski, K.T. Knott, and P. Tissot (USA)

Keywords

Model Development, Mathematical Modeling, Physically Based Modeling

Abstract

Tide charts, based upon harmonic analysis, is the general method of choice for predicting water levels. In the shallow waters of the Gulf of Mexico, however, tide charts are woefully inadequate for the prediction of water levels. We have developed a number of models for the prediction of water levels. In this paper we summarize these methods and discuss the development of a tool to measure the quality of predictions of water levels in the estuaries and shallow waters of the Gulf of Mexico.

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