Seafloor Crustal Deformation on Ocean Bottom Pressure Records With Nontidal Variability Corrections: Application to Hikurangi Margin, New Zealand

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  • Tomoya Muramoto
    Research Center for Earthquake Prediction, Disaster Prevention Research Institute Kyoto University Uji Japan
  • Yoshihiro Ito
    Research Center for Earthquake Prediction, Disaster Prevention Research Institute Kyoto University Uji Japan
  • Daisuke Inazu
    Department of Marine Resource and Energy Tokyo University of Marine Science and Technology Tokyo Japan
  • Laura M. Wallace
    GNS Science Lower Hutt New Zealand
  • Ryota Hino
    Graduate School of Science Tohoku University Sendai Japan
  • Syuichi Suzuki
    Graduate School of Science Tohoku University Sendai Japan
  • Spahr C. Webb
    Lamont‐Doherty Earth Observatory Columbia University Palisades NY USA
  • Stuart Henrys
    GNS Science Lower Hutt New Zealand

書誌事項

公開日
2019-01-13
資源種別
journal article
権利情報
  • http://onlinelibrary.wiley.com/termsAndConditions#am
  • http://onlinelibrary.wiley.com/termsAndConditions#vor
DOI
  • 10.1029/2018gl080830
公開者
American Geophysical Union (AGU)

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説明

<jats:title>Abstract</jats:title><jats:p>Ocean bottom pressure (OBP) observations are a powerful tool for determining vertical crustal displacements, especially due to earthquakes and slow earthquakes, with centimeter‐level resolution. In these studies, removal of oceanographic noise (tens of centimeters) is required to identify centimeter‐level crustal deformation. We undertake barotropic modeling to remove oceanographic signals from data from an OBP array deployed offshore New Zealand in 2014/2015. We show that removing the nontidal component calculated from a barotropic ocean model reduces the variance in the data by about 66% and provides a feasible means to resolve pressure changes due to crustal deformation during the slow slip events. We also discuss the vertical displacements from slow slip events that occurred in late September to mid‐October 2014, and we outline our procedure for processing OBP data.</jats:p>

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