2007
DOI: 10.1111/j.1365-246x.1991.tb05697.x
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A procedure for tidal analysis with a Bayesian information criterion

Abstract: SUMMARY A computer algorithm for tidal analysis is developed, based on a Bayesian method proposed by Ishiguro et al. (1983). The basic assumption of the method is smoothness of the drift. This assumption is represented in the form of prior probability in the Bayesian model. Once the prior distribution is determined, the parameters used in the analysis model are obtained by maximizing the posterior distribution of the parameters. For the given data, ABIC (Akaike's Bayesian Information Criterion, Akaike 1980) is… Show more

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Cited by 395 publications
(230 citation statements)
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“…Gray and solid lines denote water level data observed with floating-type and pressure-type water level gauges, respectively. (e) Superconducting gravity data processed with BAYTAP-G (Tamura et al, 1991). Solid and gray lines are trend component, g obs (t), and the irregular component (i.e., gravity observation noise).…”
Section: Observations At Isawa Fanmentioning
confidence: 99%
See 1 more Smart Citation
“…Gray and solid lines denote water level data observed with floating-type and pressure-type water level gauges, respectively. (e) Superconducting gravity data processed with BAYTAP-G (Tamura et al, 1991). Solid and gray lines are trend component, g obs (t), and the irregular component (i.e., gravity observation noise).…”
Section: Observations At Isawa Fanmentioning
confidence: 99%
“…(Water electrical conductivity at Suginodo Spring (circle in Fig. 1 (Tamura et al, 2005), and divided into tidal, barometric, trend and irregular components by using the BAYTAP-G software package (Tamura et al, 1991). In addition, effects from the long-period tide, the polar motion and the arbitrary linear drift (−0.095 µgal/day) were corrected in the trend components.…”
Section: Observations At Isawa Fanmentioning
confidence: 99%
“…Although ocean tide is the most prominent cause of variation in ocean bottom pressure, its effect can be accurately corrected using an ocean tide model (e.g., NAO.99b, Matsumoto et al, 2000) or harmonic analysis (e.g., BAYTAP-G, Tamura et al, 1991) owing to the precisely determined periods of the tidal components. Atmospheric pressure variation is basically compensated at the sea surface, and its effect on bottom pressure is usually neglected.…”
Section: Instruments and Some Results Of Observationsmentioning
confidence: 99%
“…A sensor direction is then corrected for each station based on teleseismic waves (Shiomi et al, 2003). Tidal components are estimated and removed with the BAYTAP-G program (Tamura et al, 1991). An atmospheric pressure response is also removed with BAYTAP-G for the medium-term records (2) based on hourly-observed atmospheric pressure data at a meteorological observatory of the Japan Meteorological Agency (Morioka for group A, and Fukushima for group B in Fig.…”
Section: Tilt Data Before the Mainshockmentioning
confidence: 99%