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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">Physical Oceanography</journal-id>
      <journal-title-group>
        <journal-title xml:lang="en">Physical Oceanography</journal-title>
      </journal-title-group>
      <issn publication-format="print">1573-160X</issn>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">20230305</article-id>
      
      <article-categories>
        <subj-group subj-group-type="toc-heading" xml:lang="en">
          <subject>Experimental and field research</subject>
        </subj-group>
        <subj-group subj-group-type="article-type">
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>

      <title-group>
        <article-title xml:lang="en">Evaluation of the Express Method Effectiveness in Short-Term Forecasting on the Examples of the Peruvian (2007) and the Chilean (2010, 2014 and 2015) Tsunamis</article-title>
      </title-group>

      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7068-7341</contrib-id>
          <name>
            <surname>Korolev</surname>
            <given-names>Yu. P.</given-names>
          </name>
          <address>
            <country country="RU">Russian Federation</country>
          </address>
          <email>Yu_P_K@mail.ru</email>
          <xref ref-type="aff" rid="aff1"/>
        </contrib>
      </contrib-group>

      <aff id="aff1">
        <institution>Institute of Marine Geology and Geophysics, Far Eastern Branch of Russian Academy of Sciences</institution>
        <addr-line>1B Nauki Str.</addr-line>
        <city>Yuzhno-Sakhalinsk</city>
        <post-code>693022</post-code>
        <country country="RU">Russian Federation</country>
      </aff>

      <pub-date date-type="pub" iso-8601-date="2023-06-30" publication-format="electronic">
        <day>30</day>
        <month>06</month>
        <year>2023</year>
      </pub-date>
      <volume>30</volume>
      <issue>3</issue>
      <fpage>315</fpage>
      <lpage>330</lpage>

      <history>
        <date date-type="received" iso-8601-date="2022-10-18">
          <day>18</day>
          <month>10</month>
          <year>2022</year>
        </date>
        <date date-type="rev-recd" iso-8601-date="2022-11-10">
          <day>10</day>
          <month>11</month>
          <year>2022</year>
        </date>
        <date date-type="accepted" iso-8601-date="2023-03-09">
          <day>09</day>
          <month>03</month>
          <year>2023</year>
        </date>
      </history>

      <permissions>
        <copyright-statement xml:lang="en">Copyright ©; 2023, Yu. P. Korolev</copyright-statement>
        <copyright-year>2023</copyright-year>
        <copyright-holder xml:lang="en">Yu. P. Korolev</copyright-holder>
        <ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/>
        <license>
          <ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by-nc/4.0/</ali:license_ref>
        </license>
      </permissions>

      <self-uri xlink:href="https://physical-oceanography.ru/repository/issues/2023/03/05/" xlink:title="Article page">https://physical-oceanography.ru/repository/issues/2023/03/05/</self-uri>

      <abstract xml:lang="en">
        <p><bold>Purpose.</bold> The aim of the work is to study the possibility of real-time tsunami forecasting based on the data from the deep-ocean tsunameters.</p>
        <p><bold>Methods and Results.</bold> The express method makes it possible to compute in advance the waveforms of the expected tsunami in the ocean, as well as near the coast. Forecasting requires seismological information on the start time and coordinates of the earthquake epicenter only, and also the data from one deep-ocean tsunameter obtained in real time. The data from the deep-ocean tsunameters closest to the tsunami sources with the duration equal to the tsunami first half-period (the first period) were used in the numerical experiments. The results of computing tsunamis for 2007–2015 agree quite well with the tsunami forms recorded at the deep-sea stations in the ocean in different directions from the source. The quality of computations in the article is comparable to the computation quality of the other authors. A tsunami forecast at the given points is possible immediately after receiving the information on passing of the tsunami first period through the deep-sea tsunameter closest to the source.</p>
        <p><bold>Conclusions.</bold> In contrast to the other methods, no reconstructing of a seismic source neither a giant base of synthetic mareograms is required for the express method. The express method can be used for tsunami forecasting in those areas for which other methods are not applicable (for example, there is no a database of synthetic mareograms), namely the coast of the northwestern Pacific Ocean.</p>
      </abstract>

      <kwd-group>
        <kwd>tsunami</kwd>
        <kwd>short-term tsunami forecast</kwd>
        <kwd>tsunami alarm</kwd>
        <kwd>false tsunami alarms</kwd>
        <kwd>reciprocity principle</kwd>
        <kwd>ocean level</kwd>
        <kwd>ocean level measurements</kwd>
        <kwd>tsunami warning service</kwd>
        <kwd>Pacific Ocean</kwd>
      </kwd-group>

      <funding-group>
        <funding-statement xml:lang="en">The author is grateful to the reviewers for their useful comments and proposals which were taken into account when finalizing the paper.</funding-statement>
      </funding-group>
    </article-meta>
  </front>

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    <p>Article text not included.</p>
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