TY - JOUR
T1 - Using Seafloor Geodesy to Detect Vertical Deformation at the Hikurangi Subduction Zone
T2 - Insights From Self-Calibrating Pressure Sensors and Ocean General Circulation Models
AU - Woods, K.
AU - Webb, S. C.
AU - Wallace, L. M.
AU - Ito, Y.
AU - Collins, C.
AU - Palmer, N.
AU - Hino, R.
AU - Savage, M. K.
AU - Saffer, D. M.
AU - Davis, E. E.
AU - Barker, D. H.N.
N1 - Funding Information:
This project was supported by an Endeavour research grant from the New Zealand Ministry for Business, Innovation, and Employment (MBIE; funding contract C05X1605), NSF grant OCE-1754929, and the Ministry of Education, Culture, Sports, Science and Technology (MEXT) of Japan, under its The Second Earthquake and Volcano Hazards Observation and Research Program (Earthquake and Volcano Hazard Reduction Research). The first author was also partly supported by a VUW Doctoral Scholarship. We thank Carlos Becceril, Ted Koczynski, Pete Liljegren, Merijn Thornton, Syuichi Suzuki, Tomohiro Inoue, Motoyuki Kido, Soli Garcia, and Will Quinn for contributions to instrument deployment and recoveries. We also thank the captains and crews of the R/V Tangaroa and R/V Roger Revelle and onboard science parties of voyages TAN1809, RR1903, and TAN1908. We gratefully acknowledge ship time on R/V Tangaroa which made this work possible, funded by New Zealand MBIE and administered by the Tangaroa Reference Group. We also acknowledge the New Zealand GeoNet project and its sponsors EQC, GNS Science and LINZ, for providing GNSS data used in this study. We thank the Associate Editor, reviewer Erik Fredrickson, and one anonymous reviewer, for providing useful feedback which helped improve the manuscript. Open access publishing facilitated by Victoria University of Wellington, as part of the Wiley - Victoria University of Wellington agreement via the Council of Australian University Librarians.
Funding Information:
This project was supported by an Endeavour research grant from the New Zealand Ministry for Business, Innovation, and Employment (MBIE; funding contract C05X1605), NSF grant OCE‐1754929, and the Ministry of Education, Culture, Sports, Science and Technology (MEXT) of Japan, under its The Second Earthquake and Volcano Hazards Observation and Research Program (Earthquake and Volcano Hazard Reduction Research). The first author was also partly supported by a VUW Doctoral Scholarship. We thank Carlos Becceril, Ted Koczynski, Pete Liljegren, Merijn Thornton, Syuichi Suzuki, Tomohiro Inoue, Motoyuki Kido, Soli Garcia, and Will Quinn for contributions to instrument deployment and recoveries. We also thank the captains and crews of the R/V Tangaroa and R/V Roger Revelle and onboard science parties of voyages TAN1809, RR1903, and TAN1908. We gratefully acknowledge ship time on R/V Tangaroa which made this work possible, funded by New Zealand MBIE and administered by the Tangaroa Reference Group. We also acknowledge the New Zealand GeoNet project and its sponsors EQC, GNS Science and LINZ, for providing GNSS data used in this study. We thank the Associate Editor, reviewer Erik Fredrickson, and one anonymous reviewer, for providing useful feedback which helped improve the manuscript. Open access publishing facilitated by Victoria University of Wellington, as part of the Wiley ‐ Victoria University of Wellington agreement via the Council of Australian University Librarians.
Publisher Copyright:
© 2022. The Authors.
PY - 2022/12
Y1 - 2022/12
N2 - Seafloor pressure sensor data is emerging as a promising approach to resolve vertical displacement of the seafloor in the offshore reaches of subduction zones, particularly in response to slow slip events (SSEs), although such signals are challenging to resolve due to sensor drift and oceanographic signals. Constraining offshore SSE slip distribution is of key importance to understanding earthquake and tsunami hazards posed by subduction zones. We processed seafloor pressure data from January to October 2019 acquired at the Hikurangi subduction zone, offshore New Zealand, to estimate vertical displacement associated with a large SSE that occurred beneath the seafloor array. The experiment included three self-calibrating sensors designed to remove sensor drift, which, together with ocean general circulation models, were essential to the identification and correction of long-period ocean variability remaining in the data after applying traditional processing techniques. We estimate that long-period oceanographic signals that were not synchronous between pressure sensors and reference sites influenced our inferred displacements by 0.3–2.6 cm, suggesting that regionally deployed reference sites alone may not provide sufficient ocean noise correction. After incorporating long-period ocean variability corrections into the processing, we calculate 1.0–3.3 cm of uplift during the SSE offshore Gisborne at northern Hikurangi, and 1.1–2.7 cm of uplift offshore the Hawke's Bay area at central Hikurangi. Some Hawke Bay displacements detected by pressure sensors near the trench were delayed by 6 weeks compared to the timing of slip onset detected by onshore Global Navigation Satellite System sites, suggesting updip migration of the SSE.
AB - Seafloor pressure sensor data is emerging as a promising approach to resolve vertical displacement of the seafloor in the offshore reaches of subduction zones, particularly in response to slow slip events (SSEs), although such signals are challenging to resolve due to sensor drift and oceanographic signals. Constraining offshore SSE slip distribution is of key importance to understanding earthquake and tsunami hazards posed by subduction zones. We processed seafloor pressure data from January to October 2019 acquired at the Hikurangi subduction zone, offshore New Zealand, to estimate vertical displacement associated with a large SSE that occurred beneath the seafloor array. The experiment included three self-calibrating sensors designed to remove sensor drift, which, together with ocean general circulation models, were essential to the identification and correction of long-period ocean variability remaining in the data after applying traditional processing techniques. We estimate that long-period oceanographic signals that were not synchronous between pressure sensors and reference sites influenced our inferred displacements by 0.3–2.6 cm, suggesting that regionally deployed reference sites alone may not provide sufficient ocean noise correction. After incorporating long-period ocean variability corrections into the processing, we calculate 1.0–3.3 cm of uplift during the SSE offshore Gisborne at northern Hikurangi, and 1.1–2.7 cm of uplift offshore the Hawke's Bay area at central Hikurangi. Some Hawke Bay displacements detected by pressure sensors near the trench were delayed by 6 weeks compared to the timing of slip onset detected by onshore Global Navigation Satellite System sites, suggesting updip migration of the SSE.
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U2 - 10.1029/2022JB023989
DO - 10.1029/2022JB023989
M3 - Article
AN - SCOPUS:85145171975
SN - 2169-9313
VL - 127
JO - Journal of Geophysical Research: Solid Earth
JF - Journal of Geophysical Research: Solid Earth
IS - 12
M1 - e2022JB023989
ER -