Scripps Institution of Oceanography

Baytap08 is a modified version of the BAYTAP-G program developed by M. Ishiguro, Y. Tamura, T. Sato and M. Ooe. This program uses a Bayesian modeling procedure (based on work by H. Akaike) to analyze time series that contain both tidal and other variations: this includes tidal gravity, ocean tides, and strain and tilt data. Baytap08 has been modified (by D. C. Agnew) to make it somewhat easier to use. The program can estimate tidal amplitudes and phases, while also finding a long-period component of the data, and also a component correlated with other data (such as barometric pressure). It uses the the Akaike Bayesian Information Criterion (ABIC), to find an optimal model.

This manual has been rewritten by D. C. Agnew, from the original manual by Y. Tamura, so as to describe the modified version, as well as to include more details about some aspects of the operation, and also some examples.

The entire program (and manual) are available at

http://igppweb.ucsd.edu/~agnew/baytap.html