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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">20260308</article-id>
      
      <article-categories>
        <subj-group subj-group-type="toc-heading" xml:lang="en">
          <subject>Analysis of observations and methods of calculating Hydrophysical fields in the ocean</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">Phytoplankton Blooms in the Open Black Sea: Review of Satellite Studies</article-title>
      </title-group>

      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-6307-1322</contrib-id>
          <contrib-id contrib-id-type="spin">8324-7686</contrib-id>
          <name>
            <surname>Yunev</surname>
            <given-names>O. A.</given-names>
          </name>
          <address>
            <country country="RU">Russian Federation</country>
          </address>
          <email>yunevoleg@gmail.com</email>
          <xref ref-type="aff" rid="aff1"/>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8627-7603</contrib-id>
          <contrib-id contrib-id-type="researcherid">B-4994-2017</contrib-id>
          <contrib-id contrib-id-type="spin">1681-7926</contrib-id>
          <name>
            <surname>Suslin</surname>
            <given-names>V. V.</given-names>
          </name>
          <address>
            <country country="RU">Russian Federation</country>
          </address>
          <email>slava.suslin@mhi-ras.ru</email>
          <xref ref-type="aff" rid="aff1"/>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-4699-9588</contrib-id>
          <contrib-id contrib-id-type="spin">5697-5700</contrib-id>
          <name>
            <surname>Belokopytov</surname>
            <given-names>V. N.</given-names>
          </name>
          <address>
            <country country="RU">Russian Federation</country>
          </address>
          <email>v.belokopytov@gmail.com</email>
          <xref ref-type="aff" rid="aff1"/>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-0016-6118</contrib-id>
          <name>
            <surname>Carstensen</surname>
            <given-names>J.</given-names>
          </name>
          <address>
            <country country="DK">Denmark</country>
          </address>
          <email>jac@ecos.au.dk</email>
          <xref ref-type="aff" rid="aff2"/>
        </contrib>
      </contrib-group>

      <aff id="aff1">
        <institution>Marine Hydrophysical Institute of RAS</institution>
        <addr-line>Sevastopol</addr-line>
        <country country="RU">Russia</country>
      </aff>
      <aff id="aff2">
        <institution>Aarhus University</institution>
        <addr-line>Roskilde</addr-line>
        <country country="DK">Denmark</country>
      </aff>

      <pub-date date-type="pub" iso-8601-date="2026-02-28" publication-format="electronic">
        <day>28</day>
        <month>02</month>
        <year>2026</year>
      </pub-date>
      <volume>33</volume>
      <issue>3</issue>
      <fpage>482</fpage>
      <lpage>500</lpage>

      <history>
        <date date-type="received" iso-8601-date="2025-10-27">
          <day>27</day>
          <month>10</month>
          <year>2025</year>
        </date>
        <date date-type="rev-recd" iso-8601-date="2025-12-04">
          <day>04</day>
          <month>12</month>
          <year>2025</year>
        </date>
        <date date-type="accepted" iso-8601-date="2026-03-16">
          <day>16</day>
          <month>03</month>
          <year>2026</year>
        </date>
      </history>

      <permissions>
        <copyright-statement xml:lang="en">Copyright ©; 2026, O. A. Yunev, V. V. Suslin, V. N. Belokopytov, J. Carstensen</copyright-statement>
        <copyright-year>2026</copyright-year>
        <copyright-holder xml:lang="en">O. A. Yunev, V. V. Suslin, V. N. Belokopytov, J. Carstensen</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/2026/03/08/" xlink:title="Article page">https://physical-oceanography.ru/repository/issues/2026/03/08/</self-uri>
      <abstract xml:lang="en">
        <p><bold>Purpose.</bold> The purpose of the article is to analyze the studies of phytoplankton blooms in the deep-open Black Sea based on satellite bio-optical data obtained using various algorithms. Satellite data are used due to the lack of in situ monitoring programs for studying the spatiotemporal variations of phytoplankton blooms in this region, and the use of different algorithms results in conflicting conclusions. The presented analysis summarizes the available results.</p>
        <p><bold>Methods and Results.</bold> The examined publications have demonstrated the evolution of research on phytoplankton blooms in the deep-open Black Sea from the application of satellite-derived chlorophyll a concentration Chl<sub>sat</sub> to the use of satellite-derived phytoplankton biomass in carbon units C<sub>sat</sub>. C<sub>sat</sub> is obtained from Chl<sub>sat</sub> concentration data and in situ seasonal changes in the carbon-to-chlorophyll a ratio C:Chl<sub>a</sub>. Determination of Chl<sub>sat</sub> concentration in the Black Sea using standard NASA algorithms (OC2 and OC4) results in errors of up to 500% and requires the development of regional algorithms, which take into account the specificity of bio-optical parameters in the given basin. The iterative statistical algorithm identifies the blooms as biomass outliers exceeding the 99th percentile of the base seasonal values. The C:Chl<sub>a</sub> ratio varies from 46 (February) to 195 (September). The seasonal maximum shifts from December–January, typical of Chl<sub>sat</sub> concentration, to September–November, typical of C<sub>sat</sub> biomass, i.e., to the actual timing of phytoplankton bloom in the deep-open Black Sea. Bloom thresholds vary by month: 90 (August), 120 (September), and 105 mg C · m<sup>−3</sup> (October–November). During the post-eutrophication period (since the mid-1990s), the phytoplankton biomass decreased, and winter-spring blooms disappeared.</p>
        <p><bold>Conclusions.</bold> The significant difference in the seasonal dynamics of Chl<sub>sat</sub> concentration and C<sub>sat</sub> biomass indicates that satellite-derived chlorophyll a concentration corresponding to the period of operation of the SeaWiFS and MODIS-Aqua/Terra ocean color satellite scanners (the post-eutrophication period) is not an acceptable indicator of biomass and cannot be used for studying the patterns of phytoplankton bloom and their mechanisms. One of the solutions to this problem consists in recalculating Chl<sub>sat</sub> concentration into C<sub>sat</sub> biomass using the C:Chl<sub>a</sub> ratio and the algorithm with iterative bloom event extraction.</p>
      </abstract>

      <kwd-group>
        <kwd>subject field overview</kwd>
        <kwd>chlorophyll a concentration</kwd>
        <kwd>phytoplankton biomass</kwd>
        <kwd>seasonal changes</kwd>
        <kwd>interannual changes</kwd>
        <kwd>long-term changes</kwd>
        <kwd>phytoplankton bloom</kwd>
        <kwd>iterative algorithm</kwd>
        <kwd>Black Sea</kwd>
        <kwd>regional bio-optical algorithms</kwd>
        <kwd>satellite methods</kwd>
      </kwd-group>

      <funding-group>
        <funding-statement xml:lang="en">The authors are grateful to two anonymous reviewers for their constructive comments. The work was carried out within the framework of state assignments of FSBSI FRC MHI FNNN-2024-0012 "Analysis, diagnosis and forecast of the state of hydrophysical and hydrochemical fields of marine water areas based on mathematical modeling using the data from remote and contact measurement methods" and FNNN-2024-0014 "Fundamental studies of interaction processes in the sea-air system that form the physical state variability of the marine environment at various spatial and temporal scales". J. Carstensen received funding through the Horizon Europe project OBAMA-NEXT (Grant No. 101091642).</funding-statement>
      </funding-group>
    </article-meta>
  </front>

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

  <back>
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