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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.
|Publisher:||Coastal Engineering Research Center (U.S.)|
Engineer Research and Development Center (U.S.)
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|