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   Bociu, Lorena ; Guidoboni, Giovanna ; Sacco, Riccardo ; Verri, Maurizio ( January 2019 , Mathematical Biosciences and Engineering)
2. Designing Effective Tsunami Messages: Examining the Role of Short Messages and Fear in Warning Response

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3. Probabilistic Near‐Field Tsunami Source and Tsunami Run‐up Distribution Inferred From Tsunami Run‐up Records in Northern Chile

   https://doi.org/10.1029/2021JC017289  

   Lee, Jun‐Whan ; Irish, Jennifer L. ; Weiss, Robert ( June 2021 , Journal of Geophysical Research: Oceans)

   Understanding a tsunami source and its impact is vital to assess a tsunami hazard. Thanks to the efforts of the tsunami survey teams, high‐quality tsunami run‐up data exist for contemporary events. Still, it has not been widely used to infer a tsunami source and its impact mainly due to the computational burden of the tsunami forward model. In this study, we propose a TRRF‐INV (Tsunami Run‐up Response Function‐based INVersion) model that can provide probabilistic estimates of a near‐field tsunami source and tsunami run‐up distribution from a small number of run‐up records. We tested the TRRF‐INV model with synthetic tsunami scenarios in northern Chile and applied it to the 2014 Iquique, Chile, tsunami event as a case study. The results demonstrated that the TRRF‐INV model can provide a reasonable tsunami source estimate to first order and estimate tsunami run‐up distribution well. Moreover, the case‐study results agree well with the United States Geological Survey report and the global Centroid Moment Tensor solution. We also analyzed the performance of the TRRF‐INV model depending on the number and the uncertainty of run‐up records. We believe that the TRRF‐INV model has the potential for supporting accurate hazard assessment by (1) providing new insights from tsunami run‐up records into the tsunami source and its impact, (2) using the TRRF‐INV model as a tool to support existing tsunami inversion models, and (3) estimating a tsunami source and its impact for ancient events where no data other than estimated run‐up from sediment deposit data exist.

    

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4. Modeling of the Dec. 22nd 2018 Anak Krakatau volcano lateral collapse and tsunami based on recent field surveys: Comparison with observed tsunami impact

   https://doi.org/10.1016/j.margeo.2021.106566  

   Grilli, S.T. ; Zhang, C. ; Kirby, J.T. ; Grilli, A.R. ; Tappin, D.R. ; Watt, S.F.L. ; Hunt, J.E. ; Novellino, A. ; Engwell, S. ; Nurshal, M.E.M. ; et al ( October 2021 , Marine Geology)
5. Influence of Tsunami Aspect Ratio on Near and Far-Field Tsunami Amplitude

   https://doi.org/10.3390/geosciences11040178  

   Sannikova, Natalia K. ; Segur, Harvey ; Arcas, Diego ( April 2021 , Geosciences)

   null (Ed.)

   This study presents a numerical investigation of the source aspect ratio (AR) influence on tsunami decay characteristics with an emphasis in near and far-field differences for two initial wave shapes Pure Positive Wave and N-wave. It is shown that, when initial total energy for both tsunami types is kept the same, short-rupture tsunami with more concentrated energy are likely to be more destructive in the near-field, whereas long rupture tsunami are more dangerous in the far-field. The more elongated the source is, the stronger the directivity and the slower the amplitude decays in the intermediate- and far-fields. We present evidence of this behavior by comparing amplitude decay rates from idealized sources and showing their correlation with that observed in recent historical events of similar AR. 

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