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Title: Improvements to the automated real-time tidal elevation system
Authors: L.E. Borgman, Inc.
Dredging Research Program (U.S.)
Borgman, Leon E.
Garcia, Andrew W.
Walton, Todd L.
Keywords: Navigation aids
Tidal analysis
Tidal predictions
Statistical methods
Publisher: Coastal Engineering Research Center (U.S.)
Engineer Research and Development Center (U.S.)
Description: Technical Report
Abstract: Two statistical techniques for making rapid, short-term predictions of the harmonically determined tidal residual are presented. The techniques are applied to an Automated Real-Time Tidal Elevation System (ARTTES) to improve short-term tide prediction. The techniques investigated are conventionally called "Kriging" and autoregression. The autoregressive method is based on the Yule-Walker equations for stationary time series. Evaluations using both synthetic and prototype data indicate that although Kriging has a slightly larger root mean square error than the autoregressive technique, the autoregressive technique shows bias, while Kriging gives an unbiased estimate.
Appears in Collections:Technical Report

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