Extraction of tsunami source coefficients via inversion of DART \circledR^{\circledR} buoy data |
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Authors: | Donald B Percival Donald W Denbo Marie C Eblé Edison Gica Harold O Mofjeld Michael C Spillane Liujuan Tang and Vasily V Titov |
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Institution: | (1) Applied Physics Laboratory, University of Washington, Box 355640, Seattle, WA 98195-5640, USA;(2) NOAA/Pacific Marine Environmental Laboratory, 7600 Sand Point Way NE, Seattle, WA 98115, USA;(3) Joint Institute for the Study of the Atmosphere and Ocean, University of Washington, Seattle, WA 98195-5672, USA |
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Abstract: | The ability to accurately forecast potential hazards posed to coastal communities by tsunamis generated seismically in both
the near and far field requires knowledge of so-called source coefficients, from which the strength of a tsunami can be deduced.
Seismic information alone can be used to set the source coefficients, but the values so derived reflect the dynamics of movement
at or below the seabed and hence might not accurately describe how this motion is manifested in the overlaying water column.
We describe here a method for refining source coefficient estimates based on seismic information by making use of data from
Deep-ocean Assessment and Reporting of Tsunamis (DART
\circledR^{\circledR}) buoys (tsunameters). The method involves using these data to adjust precomputed models via an inversion algorithm so that
residuals between the adjusted models and the DART
\circledR^{\circledR} data are as small as possible in a least squares sense. The inversion algorithm is statistically based and hence has the
ability to assess uncertainty in the estimated source coefficients. We describe this inversion algorithm in detail and apply
it to the November 2006 Kuril Islands event as a case study. |
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