2021
DOI: 10.3389/feart.2020.600671
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A Thirty-Month Seafloor Test of the A-0-A Method for Calibrating Pressure Gauges

Abstract: Geodetic observations in the oceans are important for understanding plate tectonics, earthquake cycles and volcanic processes. One approach to seafloor geodesy is the use of seafloor pressure gauges to sense vertical changes in the elevation of the seafloor after correcting for variations in the weight of the overlying oceans and atmosphere. A challenge of using pressure gauges is the tendency for the sensors to drift. The A-0-A method is a new approach for correcting drift. A valve is used to periodically swi… Show more

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Cited by 15 publications
(24 citation statements)
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“…All the BPR data presented in this paper are either drift‐corrected or did not need correcting. Other more recent approaches to quantifying BPR drift use modified sensors with a known reference pressure to compare with the ambient pressure over time (Cook et al., 2019; Manalang et al., 2019; Sasagawa & Zumberge, 2021; Sasagawa et al., 2016; Wilcock et al., 2021), some of which are being tested at Axial, but we do not employ these methods here. However, these self‐calibrating BPRs could be used as a reference site for MPR measurements in the future.…”
Section: Methodsmentioning
confidence: 99%
“…All the BPR data presented in this paper are either drift‐corrected or did not need correcting. Other more recent approaches to quantifying BPR drift use modified sensors with a known reference pressure to compare with the ambient pressure over time (Cook et al., 2019; Manalang et al., 2019; Sasagawa & Zumberge, 2021; Sasagawa et al., 2016; Wilcock et al., 2021), some of which are being tested at Axial, but we do not employ these methods here. However, these self‐calibrating BPRs could be used as a reference site for MPR measurements in the future.…”
Section: Methodsmentioning
confidence: 99%
“…Our study shows that sensors equipped with self‐calibration allow for effective minimization of sensor drift, as shown in Figure 4, reducing the problem of unknown drift of seafloor sensors—as also demonstrated by Wilcock et al. (2021). Therefore, the range of displacement estimates we find for the regular pressure sensor data based on different drift correction periods (variations of 0.2–5.8 cm, Table S4 in Supporting Information S1) does not exist for the self‐calibrated data.…”
Section: Discussionmentioning
confidence: 99%
“…The largely drift-free A-0-A observations revealed similarities between the long-period predictions from the OGCMs and the reference site-corrected seafloor pressure data (Figure 7). Using a regional OGCM to reproduce ocean circulation in Monterey Bay, Wilcock et al (2021) also identified long-period pressure variations in self-calibrated pressure data due to ocean variability signals.…”
Section: Value Of Deploying Self-calibrating Pressure Sensorsmentioning
confidence: 99%
“…The longest period signal that could be observed would be half the record length, so with the cabled sensors this could be a decade or so. Methods to overcome this with in-situ calibration are in development (Sasagawa and Zumberge, 2013;Wilcock et al, 2021). Shinohara et al (2021) conclude that "Through the evaluation of records of tides and a tsunami, it is estimated that the buried pressure gauge records data with the same quality and amplitude as the pressure gauge on the seafloor.…”
Section: Sensorsmentioning
confidence: 99%
“…The addition of other sensor types, including hydrophones, conductivity sensors, inverted echosounders, as well as acoustic or optical modems capable of relaying data from free swimming sensors, has been considered. A new in-situ calibration method called ambient-zero/internal pressure case-ambient (A-0-A; Wilcock et al, 2021) would approach accuracies required for detecting longer-term (secular) vertical deformation signals, seafloor geodesy, and absolute sea level rise. Given that the SMART repeater will provide a general interface, in principle it should be possible to add these and others once the initial concept has been successfully demonstrated.…”
Section: Sensorsmentioning
confidence: 99%