Improvements to the Automated Real-Time Tidal Elevation System
2006
Borgman, Leon E. | Garcia, Andrew W. | Walton, Todd L.
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.
Mostrar más [+] Menos [-]Prepared in collaboration with L. E. Borgman, Inc., Laramine, WY.
Mostrar más [+] Menos [-]Palabras clave de AGROVOC
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