A harmonic analysis method adapted to capturing slow variations of tidal amplitudes and phases

Abstract

Harmonic analysis (HA) is a widely used tool in the study of tides. To capture the slow variation of tidal amplitudes and phases revealed in recent research, namely, variations on a timescale of multiple months or longer, an empirical HA approach is presented and validated in this study. This empirical HA relies only on a knowledge of tidal frequencies and allows post facto analysis of dynamics. In essence, it is incorporation of piecewise linear functions into the conventional HA through the least squares matrix, permitting slow variations in amplitudes and phases. The advantage of linear functions over other functions such as cubic splines lies in their simple calculation and avoidance of artificial oscillation. In the approach, independent points (IPs) are selected to define the sub-domains for the piecewise functions. Tests with synthetic hourly water levels and application in practical contexts show that the new approach with sufficient IPs is able to reproduce the evolution of tidal amplitudes and phases. Its performance can be further improved by selecting suitable number of IPs for different constituents. In contrast, the more traditional method, for capturing slow variations using HA, of splitting the record into segments to perform HA always provides an average picture and loses variation of tidal amplitudes and phases near the beginning and end of a record.