Accession Number:

ADA273150

Title:

Improvements to the Automated Real-Time Tidal Elevation System

Descriptive Note:

Final rept.

Corporate Author:

COASTAL ENGINEERING RESEARCH CENTER VICKSBURG MS

Personal Author(s):

• Borgman, Leon E.
• Garcia, Andrew W.
• Walton, Todd L.

Report Date:

1993-10-01

Pagination or Media Count:

114.0

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.

Descriptors:

• *COMPUTER PROGRAM DOCUMENTATION
• *PREDICTIONS
• *STATISTICAL PROCESSES
• *TIDES
• *ELEVATION
• COMPUTERIZED SIMULATION
• REAL TIME
• FORECASTING
• TIME SERIES ANALYSIS
• PROTOTYPES
• EQUATIONS
• LOW PASS FILTERS
• BIAS
• ESTIMATES
• TIME
• NAVIGATION
• RESIDUALS
• STATIONARY
• ERRORS
• MEAN

Subject Categories:

• Physical and Dynamic Oceanography
• Statistics and Probability
• Computer Programming and Software

Distribution Statement:

APPROVED FOR PUBLIC RELEASE