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  <front>
    <journal-meta><journal-id journal-id-type="publisher">OS</journal-id><journal-title-group>
    <journal-title>Ocean Science</journal-title>
    <abbrev-journal-title abbrev-type="publisher">OS</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Ocean Sci.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1812-0792</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/os-15-1111-2019</article-id><title-group><article-title>New insight into 3-D mesoscale eddy properties from CMEMS operational models in the western Mediterranean</article-title><alt-title>3-D eddy properties from CMEMS models</alt-title>
      </title-group><?xmltex \runningtitle{3-D eddy properties from CMEMS models}?><?xmltex \runningauthor{E. Mason et~al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2">
          <name><surname>Mason</surname><given-names>Evan</given-names></name>
          <email>evmason@apl.uw.edu</email>
        <ext-link>https://orcid.org/0000-0002-2283-6285</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Ruiz</surname><given-names>Simón</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-9395-9370</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Bourdalle-Badie</surname><given-names>Romain</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Reffray</surname><given-names>Guillaume</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>García-Sotillo</surname><given-names>Marcos</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Pascual</surname><given-names>Ananda</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Marine Technologies, Operational and Coastal Oceanography, IMEDEA, Esporles, Mallorca, Spain</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Applied Physics Laboratory, University of Washington, Seattle, WA, USA</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Mercator Océan, 8–10 Rue Hermès, 31520, Ramonville-Saint-Agne, France</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Puertos del Estado, Madrid, Spain</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Evan Mason (evmason@apl.uw.edu)</corresp></author-notes><pub-date><day>20</day><month>August</month><year>2019</year></pub-date>
      
      <volume>15</volume>
      <issue>4</issue>
      <fpage>1111</fpage><lpage>1131</lpage>
      <history>
        <date date-type="received"><day>31</day><month>December</month><year>2018</year></date>
           <date date-type="rev-request"><day>16</day><month>January</month><year>2019</year></date>
           <date date-type="rev-recd"><day>1</day><month>June</month><year>2019</year></date>
           <date date-type="accepted"><day>30</day><month>June</month><year>2019</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2019 </copyright-statement>
        <copyright-year>2019</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://os.copernicus.org/articles/.html">This article is available from https://os.copernicus.org/articles/.html</self-uri><self-uri xlink:href="https://os.copernicus.org/articles/.pdf">The full text article is available as a PDF file from https://os.copernicus.org/articles/.pdf</self-uri>
      <abstract><title>Abstract</title>
    <p id="d1e146">Rapid evolution of operational ocean forecasting systems is driven by advances
in numerics and data assimilation schemes, and increase of in situ and satellite observations. The Copernicus Marine Service (CMEMS) is a major provider of operational products that are made available through an online catalogue. The service includes global and regional forecasts in near-real-time and reanalysis modes. Here, we apply an eddy tracker to daily sea surface height (SSH) fields from three such reanalysis products from the CMEMS catalogue, with the objective to evaluate their performance in terms of their eddy properties and three-dimensional composite structures over the 2013–2016 period. The products are (i) the Global Analysis Forecast, (ii) the Mediterranean Analysis Forecast and (iii) the Iberia–Biscay–Ireland Analysis Forecast. The common domain between these reanalyses is the western Mediterranean Sea (WMED) between the Strait of Gibraltar and Sardinia. This is a complex region with strong density gradients, especially in the Alboran Sea in the west where Atlantic and Mediterranean waters compete. Surface eddy property maps over the WMED of eddy radii, amplitudes and nonlinearity are consistent between the models, as well as with gridded altimetric data that serve as a reference. Mean 3-D eddy composites are shown only for three subregions in the Alboran Sea. These are mostly consistent between the models, with minor differences being attributed to details of the respective model configurations. This information can be informative for the ongoing development of these CMEMS operational modeling systems. The mesoscale data provided here may be of interest to CMEMS users and in the future could  be a useful addition to a more diverse CMEMS catalogue.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e158">The Copernicus Marine Environment Monitoring Service (CMEMS) supplies information about the physical state and variability of the global ocean and regional seas <xref ref-type="bibr" rid="bib1.bibx69 bib1.bibx39" id="paren.1"/>. CMEMS distributes remote sensing and in situ observations, and short-term model forecasts in response to the needs of European public and private users.</p>
      <p id="d1e164">The CMEMS architecture includes seven monitoring and forecasting centers (MFCs) that generate operational products such as short-term forecasts, hindcasts and reanalyses in different areas of the European seas (Arctic Ocean, Baltic Sea, northwest European shelves, Iberia–Biscay–Ireland area and the Mediterranean and Black seas). Additionally, there is a global MFC that delivers products at global ocean scale. A detailed description of each of the seven MFCs can be found in <xref ref-type="bibr" rid="bib1.bibx39" id="text.2"/>.
The quality of the products from these operational systems is crucial because they are used, together with observations, to detect and analyze environmental variability and trends <xref ref-type="bibr" rid="bib1.bibx70" id="paren.3"/>. In this sense, a continuous effort to improve CMEMS products is made through new research and development projects funded by the CMEMS service evolution <xref ref-type="bibr" rid="bib1.bibx40" id="paren.4"/>.</p>
      <?pagebreak page1112?><p id="d1e176"><?xmltex \hack{\newpage}?>Three CMEMS MFCs produce short-term forecasts for the entire or partial Mediterranean Sea: (i) the Global Mercator model (GLO), (ii) the Mediterranean Forecasting System (MFS) and (iii) the Iberia–Biscay–Ireland system (IBI); the latter covers only the western Mediterranean (WMED). As in other regions of the European seas, improvement of the short-term forecasts in the WMED has been a priority for the service evolution. To develop the service and produce better forecasts of the ocean in this particular area and in the global ocean in general, we need to increase our understanding of 2-D and 3-D ocean  circulation, dynamics and interactions at different scales, namely the mesoscale (10–100 km) and fine scale (1–10 km).
Simulating dynamics at these scales with numerical models is challenging; trade-offs are made between the need for accurate
representation of topography and grid resolution (both of which impact volume transport),
impact of inclusion of tidal forcing and the need for assimilation, among other factors.</p>
      <p id="d1e180">Our objective here is to evaluate the performance of three CMEMS operational oceanic models in the WMED using a subregional three-dimensional (3-D) eddy-centric compositing approach. We use an eddy tracker to identify daily positions and sizes (radius, amplitude) of mesoscale eddies in each model solution (Sect. <xref ref-type="sec" rid="Ch1.S3"/>). This information allows estimation of indices to extract 2-D and 3-D arrays of data (e.g., sea surface height, temperature) that extend a horizontal distance well beyond the eddy radius and from the surface to the ocean floor. Selective averaging of these data cubes allows generation of mean eddy signals for these variables over predefined subregions <xref ref-type="bibr" rid="bib1.bibx47" id="paren.5"><named-content content-type="pre">e.g.,</named-content></xref>. Previous work with eddy composites built from hundreds to thousands of eddy observations has contributed to better understanding of the relationships between eddies and, for example, sea surface chlorophyll <xref ref-type="bibr" rid="bib1.bibx12 bib1.bibx29" id="paren.6"><named-content content-type="pre">e.g.,</named-content></xref>, sea surface temperature <xref ref-type="bibr" rid="bib1.bibx31" id="paren.7"><named-content content-type="pre">SST; e.g.,</named-content></xref>, surface heat fluxes <xref ref-type="bibr" rid="bib1.bibx68" id="paren.8"><named-content content-type="pre">e.g.,</named-content></xref> and ocean winds <xref ref-type="bibr" rid="bib1.bibx25" id="paren.9"><named-content content-type="pre">e.g.,</named-content></xref>. For a comprehensive review of this topic, see <xref ref-type="bibr" rid="bib1.bibx48" id="text.10"/>.</p>
      <p id="d1e215">The paper is structured as follows. We provide a brief review of the western Mediterranean study region in Sect. <xref ref-type="sec" rid="Ch1.S2"/>, focusing in particular on the Alboran Sea.
The eddy-tracking and compositing methodology is described in Sect. <xref ref-type="sec" rid="Ch1.S3"/>.  Results in Sect. <xref ref-type="sec" rid="Ch1.S4"/> comprise an analysis of eddy properties from the models and altimetry over the western Mediterranean, followed by a subregional 3-D eddy compositing analysis that is focused on the Alboran Sea. (Results from other subregions in the WMED are included in Figs. S5 through S17
in the Supplement). A discussion of the results and final concluding remarks are made in Sect. <xref ref-type="sec" rid="Ch1.S5"/>.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>The western Mediterranean study region</title>
      <p id="d1e234">The Mediterranean Sea is often described as an easily accessible reduced-scale ocean laboratory which hosts almost all of the physical phenomena found in different regions of the global ocean. These processes, which include deep convection <xref ref-type="bibr" rid="bib1.bibx37 bib1.bibx33" id="paren.11"/>, shelf–slope exchange <xref ref-type="bibr" rid="bib1.bibx8" id="paren.12"/>, thermohaline circulation and water mass interaction <xref ref-type="bibr" rid="bib1.bibx7" id="paren.13"><named-content content-type="post">and references therein</named-content></xref>, mesoscale  <xref ref-type="bibr" rid="bib1.bibx58" id="paren.14"/> and submesoscale dynamics <xref ref-type="bibr" rid="bib1.bibx9" id="paren.15"/>, can be sampled and investigated at smaller scales.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><?xmltex \currentcnt{1}?><label>Figure 1</label><caption><p id="d1e256">Map of the western Mediterranean study region. Cyclonic and anticyclonic eddy tracks from gridded altimetry are plotted in blue and red, respectively, for the 2013–2016 period; tracks with lifetimes greater than 1 year are highlighted in light blue and orange. Brown shading indicates bathymetry shallower than 1000 m. The green box shows the domain used for the eddy property analysis in Sect. <xref ref-type="sec" rid="Ch1.S4.SS1"/>. The blue line marks the eastern boundary of the IBI model domain. The box areas bounded in red in the Alboran Sea indicate the three subregional domains used for eddy compositing in Sect. <xref ref-type="sec" rid="Ch1.S4.SS2"/>. Bounded areas in purple show five additional subregions for which composites are shown in Figs. S5–S17. The inset map provides further details of the topography and relevant physical features of the Alboran Sea and coast.</p></caption>
        <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://os.copernicus.org/articles/15/1111/2019/os-15-1111-2019-f01.png"/>

      </fig>

      <p id="d1e269">In the western Mediterranean (Fig. <xref ref-type="fig" rid="Ch1.F1"/>), the Alboran Sea is characterized by the presence of two anticyclonic gyres <xref ref-type="bibr" rid="bib1.bibx67 bib1.bibx56" id="paren.16"/> and their associated strong fronts that are mostly governed by salinity  <xref ref-type="bibr" rid="bib1.bibx65 bib1.bibx1" id="paren.17"/>.
This sea is the most energetic region of the western Mediterranean <xref ref-type="bibr" rid="bib1.bibx51 bib1.bibx11" id="paren.18"><named-content content-type="pre">e.g.,</named-content></xref>.  The topography in the Alboran Sea is steep to the north, west and south (see inset in Fig. <xref ref-type="fig" rid="Ch1.F1"/>) with maximum gradients of above 25<inline-formula><mml:math id="M1" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <xref ref-type="bibr" rid="bib1.bibx14" id="paren.19"><named-content content-type="pre">e.g.,</named-content></xref>.  A shallow undersea ridge known as the Alboran Ridge extends northeastward from Cape Three Forks towards the center of the Eastern Alboran Gyre (EAG); the 0.7 km<inline-formula><mml:math id="M2" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> Alboran Island is found on the ridge at 35.9<inline-formula><mml:math id="M3" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, <inline-formula><mml:math id="M4" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3.0</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M5" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W. The Alboran Trough is a deep water channel along the northern base of the ridge that connects the western and eastern basins. Mass exchange with the North Atlantic takes place at the open Strait of Gibraltar to the west and to the east with the wider western Mediterranean.
In the transition region between the Alboran Sea and the Algerian sub-basin, intense eddies and fronts are also generated, although they are less frequent than in the Alboran Sea <xref ref-type="bibr" rid="bib1.bibx52" id="paren.20"/>. The presence of large eddies in the Algerian basin has been systematically documented <xref ref-type="bibr" rid="bib1.bibx59 bib1.bibx54 bib1.bibx22 bib1.bibx53" id="paren.21"><named-content content-type="pre">e.g.,</named-content></xref>.
These Algerian eddies typically form as a result of instabilities in the cool and fresh Algerian coastal current <xref ref-type="bibr" rid="bib1.bibx49 bib1.bibx64 bib1.bibx11" id="paren.22"><named-content content-type="pre">e.g.,</named-content></xref>.
Recent studies in this basin using high-resolution observations <xref ref-type="bibr" rid="bib1.bibx15 bib1.bibx3" id="paren.23"/> have demonstrated the presence of fine-scale features associated with the large eddies. Regarding the Balearic Sea, the spatial–temporal variability of the surface circulation was investigated by <xref ref-type="bibr" rid="bib1.bibx45" id="text.24"/>, revealing intense mesoscale eddy activity in this northern sub-basin.</p>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Data and methods</title>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>The CMEMS models</title>
      <p id="d1e373">The stated general objectives for the CMEMS MFCs is to produce near-real-time short-term (5–10 d) forecasts of currents and other oceanographic variables such as temperature, salinity and sea level that will enable quicker responses to oil spills and other emergencies at sea, as well as support for efforts to achieve better understanding of ocean<?pagebreak page1113?> dynamics. With each forecast product, namely GLO, MFS and IBI, there is also an associated historical reanalysis, and these are the solutions that we work with here.</p>
      <p id="d1e376">The numerical code used for each of these CMEMS models
is the Nucleus for European Modeling of the Ocean <xref ref-type="bibr" rid="bib1.bibx43" id="paren.25"><named-content content-type="pre">NEMO, e.g.,</named-content></xref>.
NEMO solves the three-dimensional finite-difference primitive equations
in spherical coordinates on an Arakawa C grid and a vertical <inline-formula><mml:math id="M6" display="inline"><mml:mi>z</mml:mi></mml:math></inline-formula>-coordinate
scheme. It assumes hydrostatic equilibrium and the Boussinesq approximation
and makes use of a nonlinear split-explicit free surface to simulate
fast external gravity waves such as tidal motions. Steep slopes (common
in the semi-enclosed western Mediterranean) are well resolved by the use
of partial bottom cells to represent the bathymetry <xref ref-type="bibr" rid="bib1.bibx5" id="paren.26"><named-content content-type="pre">e.g.,</named-content></xref>.</p>
      <p id="d1e396">The main characteristics of these products and their differences are listed in Table <xref ref-type="table" rid="Ch1.T1"/>.
Daily mean prognostic variables for the period 1 January 2013 to 30 June 2016 from each product were downloaded by <italic>ftp</italic> from the
Copernicus CMEMS portal (<uri>http://marine.copernicus.eu/</uri>, last access: 5 June 2017). Although the models are run on irregular grids, the MFCs, for the convenience of users, provide the data on regular grids.
Further details about each model are provided in the following subsections.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e411">Main characteristics of the three CMEMS models. Model resolutions are given in degrees; equivalents
in kilometers for the Mediterranean are included in parentheses). DA-MDT indicates data assimilation of mean dynamic topography.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="4">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:colspec colnum="4" colname="col4" align="left"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">GLO</oasis:entry>
         <oasis:entry colname="col3">MFS</oasis:entry>
         <oasis:entry colname="col4">IBI</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Resolution (<inline-formula><mml:math id="M7" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M8" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">12</mml:mn></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M9" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:math></inline-formula> km)</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M10" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">16</mml:mn></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M11" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula> km)</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M12" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">36</mml:mn></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M13" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula>2 km)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Vertical levels</oasis:entry>
         <oasis:entry colname="col2">50</oasis:entry>
         <oasis:entry colname="col3">72</oasis:entry>
         <oasis:entry colname="col4">50</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Surface forcing</oasis:entry>
         <oasis:entry colname="col2">3-hourly; ECMWF</oasis:entry>
         <oasis:entry colname="col3">6-hourly; ECMWF</oasis:entry>
         <oasis:entry colname="col4">3-hourly; ECMWF</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Boundary forcing</oasis:entry>
         <oasis:entry colname="col2">n/a</oasis:entry>
         <oasis:entry colname="col3">GLO</oasis:entry>
         <oasis:entry colname="col4">GLO</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Rivers</oasis:entry>
         <oasis:entry colname="col2"><xref ref-type="bibr" rid="bib1.bibx17" id="text.27"/>  database</oasis:entry>
         <oasis:entry colname="col3">Global Runoff Data    Centre</oasis:entry>
         <oasis:entry colname="col4">Daily/monthly blend</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">
                    <xref ref-type="bibr" rid="bib1.bibx23" id="paren.28"/>
                  </oasis:entry>
         <oasis:entry colname="col4">
                    <xref ref-type="bibr" rid="bib1.bibx44" id="paren.29"/>
                  </oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Version NEMO</oasis:entry>
         <oasis:entry colname="col2">3.1</oasis:entry>
         <oasis:entry colname="col3">3.6</oasis:entry>
         <oasis:entry colname="col4">3.6</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Tides</oasis:entry>
         <oasis:entry colname="col2">No</oasis:entry>
         <oasis:entry colname="col3">No</oasis:entry>
         <oasis:entry colname="col4">Yes</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Data assimilation</oasis:entry>
         <oasis:entry colname="col2">Yes (<inline-formula><mml:math id="M14" display="inline"><mml:mrow><mml:mi>T</mml:mi><mml:mo>/</mml:mo><mml:mi>S</mml:mi></mml:mrow></mml:math></inline-formula>, SLA, SST)</oasis:entry>
         <oasis:entry colname="col3">Yes (<inline-formula><mml:math id="M15" display="inline"><mml:mrow><mml:mi>T</mml:mi><mml:mo>/</mml:mo><mml:mi>S</mml:mi></mml:mrow></mml:math></inline-formula>, SLA, SST)</oasis:entry>
         <oasis:entry colname="col4">No</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">DA-MDT</oasis:entry>
         <oasis:entry colname="col2">Yes</oasis:entry>
         <oasis:entry colname="col3">Yes</oasis:entry>
         <oasis:entry colname="col4">n/a</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Ice</oasis:entry>
         <oasis:entry colname="col2">Yes</oasis:entry>
         <oasis:entry colname="col3">n/a</oasis:entry>
         <oasis:entry colname="col4">n/a</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Topography</oasis:entry>
         <oasis:entry colname="col2">GEBCO08 <inline-formula><mml:math id="M16" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mn mathvariant="normal">200</mml:mn></mml:mrow></mml:math></inline-formula> m, ETOPO1 <inline-formula><mml:math id="M17" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mn mathvariant="normal">300</mml:mn></mml:mrow></mml:math></inline-formula> m</oasis:entry>
         <oasis:entry colname="col3">GEBCO30</oasis:entry>
         <oasis:entry colname="col4">GEBCO08</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p id="d1e414">n/a: not applicable.</p></table-wrap-foot></table-wrap>

<sec id="Ch1.S3.SS1.SSS1">
  <label>3.1.1</label><?xmltex \opttitle{Mercator Global (GLO; GLOBAL\_ANALYSIS\_\hack{\break}FORECAST\_PHY\_001\_024)}?><title>Mercator Global (GLO; GLOBAL_ANALYSIS_<?xmltex \hack{\break}?>FORECAST_PHY_001_024)</title>
      <p id="d1e764">The Mercator Global Ocean forecasting system is produced by Mercator Océan (France) <xref ref-type="bibr" rid="bib1.bibx32 bib1.bibx28 bib1.bibx38" id="paren.30"><named-content content-type="pre">e.g.,</named-content></xref>. The simulation has a horizontal resolution of <inline-formula><mml:math id="M18" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">12</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M19" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> and 50 vertical <inline-formula><mml:math id="M20" display="inline"><mml:mi>z</mml:mi></mml:math></inline-formula> levels. The model includes multivariate data assimilation, which consists of a singular extended evolutive Kalman (SEEK) filter analysis of along-track satellite sea level anomaly (SLA) and SST together with in situ profiles of temperature and salinity. The altimeter reference period for the assimilated SLA is 20 years <xref ref-type="bibr" rid="bib1.bibx57" id="paren.31"/>. The assimilated SST is taken from the CMEMS  Thematic Assembly Centre (TAC) daily level-4  Operational Sea Surface Temperature and Ice Analysis (OSTIA) composite product <xref ref-type="bibr" rid="bib1.bibx20" id="paren.32"/>. In the Strait of Gibraltar, there is relaxation of temperature and salinity towards Levitus 2013 values <xref ref-type="bibr" rid="bib1.bibx41 bib1.bibx71" id="paren.33"/>.
The bathymetry used in the system is a combination of the ETOPO1 <xref ref-type="bibr" rid="bib1.bibx2" id="paren.34"/> and GEBCO08 <xref ref-type="bibr" rid="bib1.bibx6" id="paren.35"/> topography databases: ETOPO1 (GEBCO08) is used in regions deeper (shallower) than 300 (200) m with linear interpolation over the 200–300 m layer.</p><?xmltex \hack{\newpage}?>
</sec>
<?pagebreak page1114?><sec id="Ch1.S3.SS1.SSS2">
  <label>3.1.2</label><?xmltex \opttitle{Mediterranean Forecast System (MFS; MEDSEA\_ANALYSIS\_FORECAST\_PHYS\_006\_001)}?><title>Mediterranean Forecast System (MFS; MEDSEA_ANALYSIS_FORECAST_PHYS_006_001)</title>
      <p id="d1e825">MFS is a product of the Italian Mediterranean Forecasting System. Its horizontal resolution is <inline-formula><mml:math id="M21" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">16</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M22" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>, with 72 unevenly spaced vertical <inline-formula><mml:math id="M23" display="inline"><mml:mi>z</mml:mi></mml:math></inline-formula> levels. MFS  includes data assimilation (based on an OceanVAR scheme) of temperature and salinity vertical profiles, satellite SST and along-track satellite SLA observations <xref ref-type="bibr" rid="bib1.bibx18 bib1.bibx19 bib1.bibx66" id="paren.36"/>. The 20-year mean dynamic topography of <xref ref-type="bibr" rid="bib1.bibx57" id="text.37"/> is used for the assimilation of along-track SLA.</p>
</sec>
<sec id="Ch1.S3.SS1.SSS3">
  <label>3.1.3</label><?xmltex \opttitle{Iberia--Biscay--Ireland (IBI; IBI\_ANALYSIS\_FORECAST\_PHYS\_005\_001)}?><title>Iberia–Biscay–Ireland (IBI; IBI_ANALYSIS_FORECAST_PHYS_005_001)</title>
      <p id="d1e870">IBI is developed by Mercator Océan but is operated by the Spanish Port Authority (Puertos del Estado, Spain) and, although the model domain mainly corresponds to the northeastern Atlantic Ocean, the output simulation also covers the WMED to as far as the 5<inline-formula><mml:math id="M24" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E meridian (blue line in Fig. <xref ref-type="fig" rid="Ch1.F1"/>). The model grid is a subset of
the global <inline-formula><mml:math id="M25" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">12</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M26" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> ORCA tripolar grid also used by the parent system (that provides initial and lateral boundary conditions) but refined to <inline-formula><mml:math id="M27" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">36</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M28" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> horizontal resolution (<inline-formula><mml:math id="M29" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula> km). The system is based on an eddy-resolving NEMO model application run at <inline-formula><mml:math id="M30" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">36</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M31" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> horizontal resolution with 50 vertical <inline-formula><mml:math id="M32" display="inline"><mml:mi>z</mml:mi></mml:math></inline-formula> levels. IBI does not include data assimilation; however, a downscaling methodology is applied that improves the solution near the open boundaries and the coasts <xref ref-type="bibr" rid="bib1.bibx63 bib1.bibx4" id="paren.38"/>.
Lateral open boundary data (temperature, salinity, velocities and sea level) are interpolated from the daily GLO outputs (Sect. <xref ref-type="sec" rid="Ch1.S3.SS1.SSS1"/>).
These are complemented by 11 tidal harmonics (M2, S2, N2, K1, O1,
Q1, M4, K2, P1, Mf, Mm) built from FES2004 <xref ref-type="bibr" rid="bib1.bibx42" id="paren.39"/>
and TPXO7.1 <xref ref-type="bibr" rid="bib1.bibx21" id="paren.40"/> tidal model solutions.
River runoff consists of a combination of daily observations (PREVIMER project), simulated data (SMHI E-HYPE model), a monthly climatology (Global Runoff Data Centre; GRDC) and the French hydrographic database known as “Banque Hydro” (<uri>http://hydro.eaufrance.fr</uri>, last access: 1 January 2017). Topography is taken from the GEBCO08 dataset plus other local databases as reported by <xref ref-type="bibr" rid="bib1.bibx44" id="text.41"/>.</p>
</sec>
</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Altimetry</title>
      <p id="d1e989">The Mediterranean Sea gridded altimetry product from CMEMS is used
to make an observational reference eddy track dataset. The daily sea level anomaly (SLA) along-track satellite observations are interpolated onto a <inline-formula><mml:math id="M33" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.125</mml:mn><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mo>×</mml:mo><mml:mn mathvariant="normal">0.125</mml:mn><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> grid. The spatial correlation length scales used for this regional
product are set to <inline-formula><mml:math id="M34" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">100</mml:mn></mml:mrow></mml:math></inline-formula> km, which is at the lower end of the
range used for its global 0.25<inline-formula><mml:math id="M35" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>counterpart (<inline-formula><mml:math id="M36" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">90</mml:mn></mml:mrow></mml:math></inline-formula>–150 km) <xref ref-type="bibr" rid="bib1.bibx55" id="paren.42"/>.</p>
</sec>
<sec id="Ch1.S3.SS3">
  <label>3.3</label><title>Argo</title>
      <p id="d1e1052">We use temperature and salinity profiles from Argo floats for a validation of the eddy composite results in Sect. <xref ref-type="sec" rid="Ch1.S4.SS3"/>.  Argo floats are relatively sparse in the Alboran Sea, but over the 2013–2016 time period of this study their population across the Mediterranean did increase considerably <xref ref-type="bibr" rid="bib1.bibx61" id="paren.43"/>. The Argo data were downloaded by <italic>ftp</italic> via the ECCO consortium website (<uri>ftp://ecco.jpl.nasa.gov/Version4/Release3/profiles/</uri>, last access: 12 April 2019) <xref ref-type="bibr" rid="bib1.bibx24 bib1.bibx27" id="paren.44"/>.</p>
</sec>
<sec id="Ch1.S3.SS4">
  <label>3.4</label><title>Eddy tracking</title>
      <p id="d1e1077">Version 3.0 of the <italic>py-eddy-tracker</italic>, a sea-surface-height-based
mesoscale eddy identification and tracking code developed by <xref ref-type="bibr" rid="bib1.bibx46" id="text.45"/>, was applied to the daily SLA fields from altimetry
and the three CMEMS models for<?pagebreak page1115?> the period 1 January 2013 to 30 June 2016.
As the models provide the sea surface height (SSH), respective daily model SLA fields were obtained by taking the differences between daily model SSH and SSH means over the study period. The <italic>py-eddy-tracker</italic>
uses an SSH-based contouring approach to eddy identification that
is similar to the procedures described by <xref ref-type="bibr" rid="bib1.bibx13" id="text.46"/>.
The eddy tracker was configured to detect a wide range of eddy sizes and shapes.</p>
      <p id="d1e1092">The same tuning parameters are used for each product, although the different grid resolutions (and relatively coarse correlation length scales used for ALT) between the products implies that the scales of detected eddy features will differ.
The main implication is that smaller eddies in the higher-resolution models, IBI and, to a lesser degree, MFS, may not be identified.  As our main focus is the mesoscale eddies of the Alboran gyres, we do not see this as a significant drawback to our experimental setup.
The minimum and maximum parameter values were, for the effective radius <inline-formula><mml:math id="M37" display="inline"><mml:mrow><mml:msub><mml:mi>L</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M38" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.15</mml:mn><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mo>/</mml:mo><mml:mn mathvariant="normal">1.5</mml:mn><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> and, for amplitude <inline-formula><mml:math id="M39" display="inline"><mml:mi>A</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M40" display="inline"><mml:mrow><mml:mn mathvariant="normal">0</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">150</mml:mn></mml:mrow></mml:math></inline-formula> cm. The shape error <xref ref-type="bibr" rid="bib1.bibx36" id="paren.47"/> was 65 %.  The <inline-formula><mml:math id="M41" display="inline"><mml:mrow><mml:msub><mml:mi>L</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and  <inline-formula><mml:math id="M42" display="inline"><mml:mi>A</mml:mi></mml:math></inline-formula> parameters impose minimum and maximum eddy sizes, while the shape error <xref ref-type="bibr" rid="bib1.bibx36" id="paren.48"/> excludes filaments
and other elongated closed-contour structures that may not correspond
to eddies.  For the eddy tracking, the minimum eddy lifetime was set to 5 d.</p>
      <p id="d1e1170">Time-dependent outputs from the eddy tracker include eddy position,
a speed-based (inner) radius (<inline-formula><mml:math id="M43" display="inline"><mml:mi>L</mml:mi></mml:math></inline-formula>) and an effective (outer) radius
(<inline-formula><mml:math id="M44" display="inline"><mml:mrow><mml:msub><mml:mi>L</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>), amplitude (<inline-formula><mml:math id="M45" display="inline"><mml:mi>A</mml:mi></mml:math></inline-formula>), swirl speed (<inline-formula><mml:math id="M46" display="inline"><mml:mi>U</mml:mi></mml:math></inline-formula>) and eddy kinetic
energy. Two useful ratios that can be obtained from these eddy properties
are nonlinearity (<inline-formula><mml:math id="M47" display="inline"><mml:mrow><mml:mi>N</mml:mi><mml:mo>=</mml:mo><mml:mi>U</mml:mi><mml:mo>/</mml:mo><mml:mi>c</mml:mi></mml:mrow></mml:math></inline-formula>, where <inline-formula><mml:math id="M48" display="inline"><mml:mi>c</mml:mi></mml:math></inline-formula> is the eddy propagation
speed) and eddy intensity (<inline-formula><mml:math id="M49" display="inline"><mml:mrow><mml:mi mathvariant="normal">EI</mml:mi><mml:mo>=</mml:mo><mml:mi>A</mml:mi><mml:mo>/</mml:mo><mml:mi>L</mml:mi></mml:mrow></mml:math></inline-formula>). <inline-formula><mml:math id="M50" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula>
provides a measure of an eddy's capacity to trap fluid
within its center; this occurs at values greater than unity <xref ref-type="bibr" rid="bib1.bibx13" id="paren.49"><named-content content-type="pre">e.g.,</named-content></xref>.
<inline-formula><mml:math id="M51" display="inline"><mml:mi mathvariant="normal">EI</mml:mi></mml:math></inline-formula> is a potential proxy for the presence of elevated
vertical motions <xref ref-type="bibr" rid="bib1.bibx26 bib1.bibx47" id="paren.50"><named-content content-type="pre">e.g.,</named-content></xref>.</p>
</sec>
<sec id="Ch1.S3.SS5">
  <label>3.5</label><title>Eddy compositing</title>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><?xmltex \currentcnt{2}?><label>Figure 2</label><caption><p id="d1e1280">Illustration of the sequential compositing methodology using example SSH and salinity fields from
GLO on 13 September 2013. <bold>(a)</bold> SSH is plotted on a regular grid over
the western Mediterranean eddy-tracking domain. The most intense of
several eddy-tracker-identified anticyclones is marked in white near
37<inline-formula><mml:math id="M52" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 0<inline-formula><mml:math id="M53" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E,  and its corresponding speed-based contour
is plotted in blue. Other identified eddies are marked in green. <bold>(b)</bold> A zoom over
the intense GLO eddy of salinity at a depth of 109 m (plotted on an azimuthal
equidistant projection; AEQD) shows the fresh salinity anomaly associated
with the eddy. The light blue circle corresponds to the eddy radius. <bold>(c)</bold> The salinity field interpolated from the AEQD grid to the eddy-centric grid. Gray dashed lines highlight the radial extent of the eddy.</p></caption>
          <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://os.copernicus.org/articles/15/1111/2019/os-15-1111-2019-f02.png"/>

        </fig>

      <p id="d1e1316">An eddy-centric composite analysis of the model prognostic variables was carried out
following the procedures described by <xref ref-type="bibr" rid="bib1.bibx47" id="text.51"/>.
Briefly, for a given variable <italic>p</italic> (e.g., temperature or salinity), we regrid the data at each vertical level to an eddy-centric grid where the coordinates span the range <inline-formula><mml:math id="M54" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">4</mml:mn><mml:mi>L</mml:mi></mml:mrow></mml:math></inline-formula>. An overview of this operation, from a regular grid in degrees to a spatial projection in kilometers and, finally, to the eddy-centric coordinate is provided in Fig. <xref ref-type="fig" rid="Ch1.F2"/>. This normalization by the eddy radius of sequential fields permits us to then make multidimensional composite averages of the eddies and their properties.</p>
      <p id="d1e1339">Subregional composite averages are made by selecting only the eddies within certain predefined areas, such as those outlined in red in the Alboran Sea in Fig. <xref ref-type="fig" rid="Ch1.F1"/>.
Further selection choices include selecting all the observations (i.e., we omit the tracking), selecting only observations from eddies that exceed a specified threshold lifetime; or we can select only those observations that are common (in terms of time and position, within some predefined ranges, and polarity) from the three models.  Here, we chose the second of these options and used the same minimum lifetime threshold used for the eddy tracking (5 d; Sect. <xref ref-type="sec" rid="Ch1.S3.SS4"/>). We discarded the third option because the absence of data assimilation in IBI implies that this solution will drift substantially from GLO and  MFS, meaning that our overall sample size for compositing may be significantly reduced.</p>
      <p id="d1e1347">The core variables common to each model that were processed in the manner outlined above are potential temperature (<inline-formula><mml:math id="M55" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>), salinity (<inline-formula><mml:math id="M56" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula>), SSH (<inline-formula><mml:math id="M57" display="inline"><mml:mi mathvariant="italic">η</mml:mi></mml:math></inline-formula>), and <inline-formula><mml:math id="M58" display="inline"><mml:mi>u</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M59" display="inline"><mml:mi>v</mml:mi></mml:math></inline-formula> velocity components. Model topography was available from GLO, and this was also interpolated to the eddy-centric grid.
Anomalies of <inline-formula><mml:math id="M60" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M61" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula> in Sect. <xref ref-type="sec" rid="Ch1.S4"/> are computed at each level and for every eddy instance by taking the difference between the original and a low‐pass-filtered field obtained from the convolution of a Gaussian kernel with a half width of 6<inline-formula><mml:math id="M62" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <xref ref-type="bibr" rid="bib1.bibx29 bib1.bibx47" id="paren.52"><named-content content-type="pre">e.g.,</named-content></xref>. Thus, <inline-formula><mml:math id="M63" display="inline"><mml:mrow><mml:msup><mml:mi>T</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mo>=</mml:mo><mml:mi>T</mml:mi><mml:mo>-</mml:mo><mml:msub><mml:mi>T</mml:mi><mml:mrow><mml:mi mathvariant="italic">σ</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula> and similarly for <inline-formula><mml:math id="M64" display="inline"><mml:mrow><mml:msup><mml:mi>S</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>.</p>
      <p id="d1e1455">Finally, three additional external variables were similarly processed for eddy compositing:
<list list-type="bullet"><list-item>
      <p id="d1e1460">The normalized relative vorticity (<inline-formula><mml:math id="M65" display="inline"><mml:mrow><mml:mi mathvariant="italic">ζ</mml:mi><mml:mo>/</mml:mo><mml:mi>f</mml:mi></mml:mrow></mml:math></inline-formula>) is derived
from <inline-formula><mml:math id="M66" display="inline"><mml:mi>u</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M67" display="inline"><mml:mi>v</mml:mi></mml:math></inline-formula>, with <inline-formula><mml:math id="M68" display="inline"><mml:mrow><mml:mi mathvariant="italic">ζ</mml:mi><mml:mo>=</mml:mo><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>v</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>x</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>-</mml:mo><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>u</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>y</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mrow></mml:math></inline-formula>
and <inline-formula><mml:math id="M69" display="inline"><mml:mi>f</mml:mi></mml:math></inline-formula> the Coriolis frequency. The <inline-formula><mml:math id="M70" display="inline"><mml:mi mathvariant="italic">ζ</mml:mi></mml:math></inline-formula> operation is performed
on the respective regular model grids, with <inline-formula><mml:math id="M71" display="inline"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>x</mml:mi></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M72" display="inline"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>y</mml:mi></mml:mrow></mml:math></inline-formula>
calculated using the haversine formula.</p></list-item><list-item>
      <p id="d1e1561">Topography from the 1<inline-formula><mml:math id="M73" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> Shuttle Radar Topography Mission (SRTM) dataset <xref ref-type="bibr" rid="bib1.bibx62 bib1.bibx6" id="paren.53"/> is used as an intercomparison reference in Sect. <xref ref-type="sec" rid="Ch1.S4.SS2.SSS2"/>–<xref ref-type="sec" rid="Ch1.S4.SS2.SSS4"/>.</p></list-item><list-item>
      <p id="d1e1581">Mixed layer depths across the eddies were compiled by applying the density algorithm developed by <xref ref-type="bibr" rid="bib1.bibx34" id="text.54"/> to the respective model <inline-formula><mml:math id="M74" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M75" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula> profiles. The range and seasonal variability of the eddy-centric mixed layer depth (MLD) estimates is discussed in Sect. <xref ref-type="sec" rid="Ch1.S4.SS2.SSS5"/>.</p></list-item></list></p>
</sec>
<sec id="Ch1.S3.SS6">
  <label>3.6</label><title>Eddy vertical tilt correction</title>
      <?pagebreak page1116?><p id="d1e1611">We introduce a simple methodology to estimate eddy tilt. For every
eddy observation, starting from the position of the eddy center at the surface level,  we estimate the indices <inline-formula><mml:math id="M76" display="inline"><mml:mi>i</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M77" display="inline"><mml:mi>j</mml:mi></mml:math></inline-formula> to the maximum of <inline-formula><mml:math id="M78" display="inline"><mml:mrow><mml:mfenced open="|" close="|"><mml:mrow><mml:mi mathvariant="italic">ζ</mml:mi><mml:mo>/</mml:mo><mml:mi>f</mml:mi></mml:mrow></mml:mfenced></mml:mrow></mml:math></inline-formula> at each model depth level. No interpolation or vertical regridding is required.  The indices provide (i) a means to estimate the distance at each level between the dynamical
center of the eddy and its estimated surface position as determined by the eddy tracker,
and (ii) the possibility to reconstruct each eddy variable (temperature, salinity, etc.) so that each level is aligned horizontally with the position of <inline-formula><mml:math id="M79" display="inline"><mml:mrow><mml:mfenced open="|" close="|"><mml:mrow><mml:mi mathvariant="italic">ζ</mml:mi><mml:mo>/</mml:mo><mml:mi>f</mml:mi></mml:mrow></mml:mfenced></mml:mrow></mml:math></inline-formula>. Illustrative figures of the impact on profile sections of  <inline-formula><mml:math id="M80" display="inline"><mml:mi mathvariant="italic">ζ</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M81" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M82" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula> are provided in Figs. S2 through S4; these can be compared with Figs. <xref ref-type="fig" rid="Ch1.F7"/>, <xref ref-type="fig" rid="Ch1.F8"/> and <xref ref-type="fig" rid="Ch1.F9"/> in Sect. <xref ref-type="sec" rid="Ch1.S4"/>.</p><?xmltex \hack{\newpage}?>
</sec>
</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Results</title>
<sec id="Ch1.S4.SS1">
  <label>4.1</label><title>Eddy properties</title>
      <p id="d1e1703">Eddy property information covers data obtained directly from the eddy tracker, namely eddy position in time and space, radius, amplitude and swirl speed <xref ref-type="bibr" rid="bib1.bibx13 bib1.bibx46" id="paren.55"><named-content content-type="pre">e.g.,</named-content></xref>.</p>
<sec id="Ch1.S4.SS1.SSS1">
  <label>4.1.1</label><title>Eddy tracks</title>
      <p id="d1e1718">Tracks of detected eddies in the western Mediterranean indicate that the longest-lived eddies are typically found in the southern part of the WMED (Fig. <xref ref-type="fig" rid="Ch1.F3"/>).  Anticyclones tend to be longer lived than cyclones. The quantity and duration of long-lived eddies is higher in ALT and GLO, and lower in IBI. The long-lived ALT eddies are concentrated inside the Alboran gyres and the Algerian basin. There is also a small number of long-lived ALT anticyclones in the Balearic Sea. MFS and GLO have similar patterns of eddy distribution to ALT, but they have greater numbers of shorter-lived eddies (Fig. <xref ref-type="fig" rid="Ch1.F3"/>g, h). Large numbers of eddies are detected and tracked in IBI but they are of notably shorter duration than in the other products.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><?xmltex \currentcnt{3}?><label>Figure 3</label><caption><p id="d1e1727">Scatter plots of (top row) cyclonic and (middle row) anticyclonic eddy observations in the western Mediterranean from altimetry and the three CMEMS models between 2013 and 2016. Colours indicate eddy age between 0 and <inline-formula><mml:math id="M83" display="inline"><mml:mrow><mml:mn mathvariant="normal">100</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:math></inline-formula> d. Topographic contours from SRTM are plotted in gray at 500, 1000, 2000 and 4000 m. Plots of eddy lifetimes of cyclones (bottom left) and anticyclones (bottom right) from altimetry and the three models are shown. Numbers in the legends show the total number of eddy observations for each product.</p></caption>
            <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://os.copernicus.org/articles/15/1111/2019/os-15-1111-2019-f03.png"/>

          </fig>

</sec>
<sec id="Ch1.S4.SS1.SSS2">
  <label>4.1.2</label><title>Eddy amplitude, radius and intensity</title>
      <?pagebreak page1117?><p id="d1e1754">High levels of correspondence are found in eddy amplitude and radius
distributions from the three models and altimetry over the western
Mediterranean study region (Fig. <xref ref-type="fig" rid="Ch1.F4"/>).
Maps of mean eddy amplitude show that larger amplitudes are found
consistently across the southern regions (up to <inline-formula><mml:math id="M84" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> cm) and
especially in the gyres of the Alboran Sea where amplitudes are <inline-formula><mml:math id="M85" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> cm (Fig. <xref ref-type="fig" rid="Ch1.F4"/>a–h). Anticyclones in the
south tend to have larger amplitudes and are more prevalent than cyclones
which, aside from IBI, are somewhat smaller outside of the
Alboran Sea. The distributions of the amplitude patterns between the
products are quite similar for anticyclones, but the cyclones in IBI
(Fig. <xref ref-type="fig" rid="Ch1.F4"/>d) have noticeably higher amplitudes
along the Algerian current axis than they do in the other products.
In the Balearic Sea, to the north, typical amplitude values are smaller
at around 2.5 cm. There are only small differences between cyclones
and anticyclones. Extreme amplitudes (<inline-formula><mml:math id="M86" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">15</mml:mn></mml:mrow></mml:math></inline-formula> cm) are noticeable in the
anticyclones of ALT and GLO at <inline-formula><mml:math id="M87" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">37</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M88" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N,
0<inline-formula><mml:math id="M89" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E (Fig. <xref ref-type="fig" rid="Ch1.F4"/>e, f). This position
corresponds to the Jason-1/Jason-2 satellite track (not shown) which could explain detection of a strong eddy amplitude signal in this region; GLO assimilates altimetry, as does MFS, which also has a raised amplitude at <inline-formula><mml:math id="M90" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">0</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M91" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E (Fig. <xref ref-type="fig" rid="Ch1.F4"/>g). Note also that the eddy identified in GLO in Fig. <xref ref-type="fig" rid="Ch1.F2"/>
occupies this same position, and a large eddy here is visible in the
corresponding gridded altimetry map (not shown).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><?xmltex \currentcnt{4}?><label>Figure 4</label><caption><p id="d1e1848">Maps of mean eddy amplitude <bold>(a–h)</bold> and radius <bold>(i–p)</bold> over the western Mediterranean. Columns indicate ALT,
GLO, MFS and IBI. Top and bottom paired rows indicate cyclones (CCs) and anticyclones (ACs).</p></caption>
            <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://os.copernicus.org/articles/15/1111/2019/os-15-1111-2019-f04.png"/>

          </fig>

      <p id="d1e1863">Cyclone and anticyclone radii are generally larger in the southern
parts of the study domain than they are in the north (Fig. <xref ref-type="fig" rid="Ch1.F4"/>i–p).
The patterns between the models and altimetry are very similar for
the anticyclones, aside from the Balearic Sea in ALT where
the radii are slightly larger. There is more variability in the cyclones,
where GLO has noticeably smaller radii in the Alboran gyres.
ALT and IBI cyclone radii are marginally larger than
their counterparts in GLO and MFS. Differences in radii
for eddies of both signs between ALT and the models are most
apparent in the Balearic Sea, where ALT eddies are consistently
larger.</p>
      <p id="d1e1869">Eddy intensity (EI) maps from all products show progressive increases
with resolution in both cyclones and anticyclones (Fig. <xref ref-type="fig" rid="Ch1.F5"/>a–h). EI is consistently at or above 0.2 cm km<inline-formula><mml:math id="M92" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> within the
Alboran Sea. In ALT, the Western and Eastern Alboran gyres are
clearly distinguishable in the EI signal. ALT cyclones
along the Algerian coast to the east have weak EI, whereas
anticyclones have some of the largest values.
Examination of Fig. <xref ref-type="fig" rid="Ch1.F4"/>a, e indicates this variability is largely
determined by eddy amplitude rather than radius.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><?xmltex \currentcnt{5}?><label>Figure 5</label><caption><p id="d1e1890">Maps of mean eddy intensity <bold>(a–h)</bold> and
nonlinearity <bold>(i–p)</bold> over the western Mediterranean. Columns for ALT,
GLO, MFS and IBI. Paired rows for cyclones (CC)
and anticyclones (AC). Maps of the numerator (<inline-formula><mml:math id="M93" display="inline"><mml:mi>U</mml:mi></mml:math></inline-formula>) and denominator (<inline-formula><mml:math id="M94" display="inline"><mml:mi>c</mml:mi></mml:math></inline-formula>) for nonlinearity in <bold>(i)</bold> through <bold>(p)</bold> are shown in Fig. S1.</p></caption>
            <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://os.copernicus.org/articles/15/1111/2019/os-15-1111-2019-f05.png"/>

          </fig>

</sec>
</sec>
<?pagebreak page1118?><sec id="Ch1.S4.SS2">
  <label>4.2</label><title>Subregional eddy composites</title>
      <p id="d1e1935">In this section, we focus on the anticyclones in the Western and Eastern Alboran gyres (WAG and EAG) and the Cartagena frontal region (CRT) to the east. The three subregions are outlined in red in Fig. <xref ref-type="fig" rid="Ch1.F1"/>. As anticyclones are the dominant signal in the Alboran Sea, we omit cyclones from our analysis. (We do however provide the cyclonic counterparts to the vertical section figures in this section in Figs. S10–S17.) Horizontal and vertical subregional eddy composites illustrate the variability in vorticity, temperature and salinity across the gyres of the Alboran Sea.
A summary of the eddy properties from the eddy tracker for these subregions is provided in Table <xref ref-type="table" rid="Ch1.T2"/>.</p>

<?xmltex \floatpos{p}?><table-wrap id="Ch1.T2" specific-use="star"><?xmltex \currentcnt{2}?><label>Table 2</label><caption><p id="d1e1945">Subregional eddy counts, and mean and median coordinates and properties from the eddy tracker for anticyclones in the Western Alboran Gyre (WAG), Eastern Alboran Gyre (EAG) and Cartagena frontal region (CRT). <inline-formula><mml:math id="M95" display="inline"><mml:mover accent="true"><mml:mo mathvariant="bold">⋅</mml:mo><mml:mo mathvariant="normal">‾</mml:mo></mml:mover></mml:math></inline-formula> and <inline-formula><mml:math id="M96" display="inline"><mml:mover accent="true"><mml:mo mathvariant="bold">⋅</mml:mo><mml:mo mathvariant="normal">̃</mml:mo></mml:mover></mml:math></inline-formula> denote the respective means and medians of eddy positional coordinates (degrees) and radii (km) in each subregion defined in Fig. <xref ref-type="fig" rid="Ch1.F1"/>.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="9">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:colspec colnum="9" colname="col9" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">

         <oasis:entry colname="col1">Subregion</oasis:entry>

         <oasis:entry colname="col2">Model</oasis:entry>

         <oasis:entry colname="col3"><inline-formula><mml:math id="M97" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col4"><inline-formula><mml:math id="M98" display="inline"><mml:mover accent="true"><mml:mi mathvariant="normal">Long</mml:mi><mml:mo mathvariant="normal">‾</mml:mo></mml:mover></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M99" display="inline"><mml:mover accent="true"><mml:mi mathvariant="normal">Lat</mml:mi><mml:mo mathvariant="normal">‾</mml:mo></mml:mover></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col6"><inline-formula><mml:math id="M100" display="inline"><mml:mover accent="true"><mml:mi mathvariant="normal">Long</mml:mi><mml:mo mathvariant="normal">̃</mml:mo></mml:mover></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col7"><inline-formula><mml:math id="M101" display="inline"><mml:mover accent="true"><mml:mi mathvariant="normal">Lat</mml:mi><mml:mo mathvariant="normal">̃</mml:mo></mml:mover></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col8"><inline-formula><mml:math id="M102" display="inline"><mml:mover accent="true"><mml:mi>L</mml:mi><mml:mo mathvariant="normal">¯</mml:mo></mml:mover></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col9"><inline-formula><mml:math id="M103" display="inline"><mml:mover accent="true"><mml:mi>L</mml:mi><mml:mo mathvariant="normal">̃</mml:mo></mml:mover></mml:math></inline-formula></oasis:entry>

       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>

         <oasis:entry colname="col1" morerows="2">WAG</oasis:entry>

         <oasis:entry colname="col2">GLO</oasis:entry>

         <oasis:entry colname="col3">1231</oasis:entry>

         <oasis:entry colname="col4"><inline-formula><mml:math id="M104" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">4.11</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col5">36.02</oasis:entry>

         <oasis:entry colname="col6"><inline-formula><mml:math id="M105" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">4.06</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col7">36.03</oasis:entry>

         <oasis:entry colname="col8">33.2</oasis:entry>

         <oasis:entry colname="col9">29.2</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2">MFS</oasis:entry>

         <oasis:entry colname="col3">1374</oasis:entry>

         <oasis:entry colname="col4"><inline-formula><mml:math id="M106" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">4.12</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col5">35.90</oasis:entry>

         <oasis:entry colname="col6"><inline-formula><mml:math id="M107" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">4.18</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col7">35.85</oasis:entry>

         <oasis:entry colname="col8">30.6</oasis:entry>

         <oasis:entry colname="col9">29.5</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2">IBI</oasis:entry>

         <oasis:entry colname="col3">1048</oasis:entry>

         <oasis:entry colname="col4"><inline-formula><mml:math id="M108" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">4.24</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col5">35.84</oasis:entry>

         <oasis:entry colname="col6">-4.26</oasis:entry>

         <oasis:entry colname="col7">35.74</oasis:entry>

         <oasis:entry colname="col8">28.9</oasis:entry>

         <oasis:entry colname="col9">25.3</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col1"/>

         <oasis:entry colname="col2">ALT</oasis:entry>

         <oasis:entry colname="col3">976</oasis:entry>

         <oasis:entry colname="col4"><inline-formula><mml:math id="M109" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">4.1</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col5">35.87</oasis:entry>

         <oasis:entry colname="col6"><inline-formula><mml:math id="M110" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">4.1</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col7">35.84</oasis:entry>

         <oasis:entry colname="col8">32.9</oasis:entry>

         <oasis:entry colname="col9">33.1</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1" morerows="2">EAG</oasis:entry>

         <oasis:entry colname="col2">GLO</oasis:entry>

         <oasis:entry colname="col3">1033</oasis:entry>

         <oasis:entry colname="col4"><inline-formula><mml:math id="M111" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2.34</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col5">35.90</oasis:entry>

         <oasis:entry colname="col6"><inline-formula><mml:math id="M112" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2.27</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col7">35.86</oasis:entry>

         <oasis:entry colname="col8">34.5</oasis:entry>

         <oasis:entry colname="col9">32.0</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2">MFS</oasis:entry>

         <oasis:entry colname="col3">1235</oasis:entry>

         <oasis:entry colname="col4"><inline-formula><mml:math id="M113" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2.23</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col5">35.92</oasis:entry>

         <oasis:entry colname="col6"><inline-formula><mml:math id="M114" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2.17</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col7">35.91</oasis:entry>

         <oasis:entry colname="col8">33.3</oasis:entry>

         <oasis:entry colname="col9">31.1</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2">IBI</oasis:entry>

         <oasis:entry colname="col3">845</oasis:entry>

         <oasis:entry colname="col4"><inline-formula><mml:math id="M115" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2.36</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col5">35.92</oasis:entry>

         <oasis:entry colname="col6"><inline-formula><mml:math id="M116" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2.26</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col7">35.91</oasis:entry>

         <oasis:entry colname="col8">33.9</oasis:entry>

         <oasis:entry colname="col9">31.8</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col1"/>

         <oasis:entry colname="col2">ALT</oasis:entry>

         <oasis:entry colname="col3">862</oasis:entry>

         <oasis:entry colname="col4"><inline-formula><mml:math id="M117" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2.27</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col5">35.90</oasis:entry>

         <oasis:entry colname="col6"><inline-formula><mml:math id="M118" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2.10</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col7">35.91</oasis:entry>

         <oasis:entry colname="col8">33.8</oasis:entry>

         <oasis:entry colname="col9">34.3</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1" morerows="2">CRT</oasis:entry>

         <oasis:entry colname="col2">GLO</oasis:entry>

         <oasis:entry colname="col3">1040</oasis:entry>

         <oasis:entry colname="col4"><inline-formula><mml:math id="M119" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.50</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col5">36.66</oasis:entry>

         <oasis:entry colname="col6"><inline-formula><mml:math id="M120" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.43</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col7">36.64</oasis:entry>

         <oasis:entry colname="col8">31.6</oasis:entry>

         <oasis:entry colname="col9">28.9</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2">MFS</oasis:entry>

         <oasis:entry colname="col3">1024</oasis:entry>

         <oasis:entry colname="col4"><inline-formula><mml:math id="M121" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.67</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col5">36.64</oasis:entry>

         <oasis:entry colname="col6"><inline-formula><mml:math id="M122" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.71</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col7">36.67</oasis:entry>

         <oasis:entry colname="col8">35.4</oasis:entry>

         <oasis:entry colname="col9">26.0</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2">IBI</oasis:entry>

         <oasis:entry colname="col3">764</oasis:entry>

         <oasis:entry colname="col4"><inline-formula><mml:math id="M123" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.66</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col5">36.68</oasis:entry>

         <oasis:entry colname="col6"><inline-formula><mml:math id="M124" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.68</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col7">36.65</oasis:entry>

         <oasis:entry colname="col8">35.4</oasis:entry>

         <oasis:entry colname="col9">32.8</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1"/>

         <oasis:entry colname="col2">ALT</oasis:entry>

         <oasis:entry colname="col3">644</oasis:entry>

         <oasis:entry colname="col4"><inline-formula><mml:math id="M125" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.60</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col5">36.70</oasis:entry>

         <oasis:entry colname="col6"><inline-formula><mml:math id="M126" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.56</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col7">36.80</oasis:entry>

         <oasis:entry colname="col8">33.7</oasis:entry>

         <oasis:entry colname="col9">33.9</oasis:entry>

       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

<sec id="Ch1.S4.SS2.SSS1">
  <label>4.2.1</label><title>Horizontal subregional eddy composites</title>
      <p id="d1e2629">Horizontal anticyclonic eddy composites of <inline-formula><mml:math id="M127" display="inline"><mml:mrow><mml:mi mathvariant="italic">ζ</mml:mi><mml:mo>/</mml:mo><mml:mi>f</mml:mi></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M128" display="inline"><mml:mrow><mml:msup><mml:mi>T</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M129" display="inline"><mml:mrow><mml:msup><mml:mi>S</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> in Fig. <xref ref-type="fig" rid="Ch1.F6"/> reveal the intensity of the eddy property anomalies of the three defined subregions of the Alboran Sea. Each variable is plotted at the median positions of the eddy coordinates that contribute to each subregion. The eddy positions between the models are very similar.</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F6" specific-use="star"><?xmltex \currentcnt{6}?><label>Figure 6</label><caption><p id="d1e2670">Anticyclonic eddy
composites of <inline-formula><mml:math id="M130" display="inline"><mml:mrow><mml:mi mathvariant="italic">ζ</mml:mi><mml:mo>/</mml:mo><mml:mi>f</mml:mi></mml:mrow></mml:math></inline-formula> (top row), <inline-formula><mml:math id="M131" display="inline"><mml:mrow><mml:msup><mml:mi>T</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> (middle row) and <inline-formula><mml:math id="M132" display="inline"><mml:mrow><mml:msup><mml:mi>S</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> (bottom row) in three subregions in the Alboran Sea from the three CMEMS models, GLO (left column), MFS (middle column) and IBI (right column). Orange boxes indicate the bounds of each subregion used for the compositing. The mean position of
each eddy composite is shown by neon green dots; the depth in meters at which each composite is plotted corresponds to absolute maximum of the variable over the water column at the position of the eddy center. Gray circles around each dot correspond to the mean speed and effective eddy radii. SRTM topographic contours are plotted in gray from the surface to the bottom at intervals of 100 m; the 1000 m isobath is plotted in dark gray.</p></caption>
            <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://os.copernicus.org/articles/15/1111/2019/os-15-1111-2019-f06.png"/>

          </fig>

      <p id="d1e2713">In the WAG, the median eddy positions for each model are located in the center of the gyre, which corresponds to the deepest water. GLO is found north of the Vizconde de Eza seamount (located at 35.8<inline-formula><mml:math id="M133" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, <inline-formula><mml:math id="M134" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M135" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W in Fig. <xref ref-type="fig" rid="Ch1.F1"/>), while MFS and IBI are to its west. In the EAG, the eddy positions, lying over the southern 1000 m isobath of the eastern Alboran basin, are virtually indistinguishable.  The CRT coordinates are located about 0.75<inline-formula><mml:math id="M136" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> further north in the broad deep water depression that opens into the Algerian basin with, again, little observable difference in median eddy position between the models.
The plotting depth in Fig. <xref ref-type="fig" rid="Ch1.F6"/> of each variable corresponds to the respective absolute maximum in the water column at the eddy center.  These depths vary, being very shallow for <inline-formula><mml:math id="M137" display="inline"><mml:mi mathvariant="italic">ζ</mml:mi></mml:math></inline-formula>, some tens of meters deeper for <inline-formula><mml:math id="M138" display="inline"><mml:mrow><mml:msup><mml:mi>T</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> and generally below 100 m for <inline-formula><mml:math id="M139" display="inline"><mml:mrow><mml:msup><mml:mi>S</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>. The anomalies tend to be approximately confined within the limits of the two radius estimates, <inline-formula><mml:math id="M140" display="inline"><mml:mi>L</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M141" display="inline"><mml:mrow><mml:msub><mml:mi>L</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>. The anomalies are plotted out to a radial extent of <inline-formula><mml:math id="M142" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mi>L</mml:mi></mml:mrow></mml:math></inline-formula>, with the region between <inline-formula><mml:math id="M143" display="inline"><mml:mi>L</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M144" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mi>L</mml:mi></mml:mrow></mml:math></inline-formula> defined by <xref ref-type="bibr" rid="bib1.bibx26" id="text.56"/> as the eddy impact area<fn id="Ch1.Footn1"><p id="d1e2835">The eddy impact area as defined by <xref ref-type="bibr" rid="bib1.bibx26" id="text.57"/> is the area between 1 and 3 times the eddy radius around the eddy center; here, given the size of the Alboran gyres and the confined Alboran domain, we choose to use twice the radius.</p></fn>.</p>
      <p id="d1e2843">The near-surface negative vorticity values inside the <inline-formula><mml:math id="M145" display="inline"><mml:mi>L</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M146" display="inline"><mml:mrow><mml:msub><mml:mi>L</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> radii are variable according to both subregion and model in Fig. <xref ref-type="fig" rid="Ch1.F6"/> (top row). For each model, <inline-formula><mml:math id="M147" display="inline"><mml:mrow><mml:mo>|</mml:mo><mml:mi mathvariant="italic">ζ</mml:mi><mml:mo>|</mml:mo></mml:mrow></mml:math></inline-formula> intensity in each subregion successively decreases from the west (WAG) to east (CRT).  There is also an overall increase in <inline-formula><mml:math id="M148" display="inline"><mml:mrow><mml:mo>|</mml:mo><mml:mi mathvariant="italic">ζ</mml:mi><mml:mo>|</mml:mo></mml:mrow></mml:math></inline-formula> in each subregion between the models; GLO is weakest and IBI strongest. The model increases can be explained by the increasing model resolution. In the WAG, IBI <inline-formula><mml:math id="M149" display="inline"><mml:mrow><mml:mi mathvariant="italic">ζ</mml:mi><mml:mo>/</mml:mo><mml:mi>f</mml:mi></mml:mrow></mml:math></inline-formula> approaches 1, indicating the possible admittance of ageostrophic motions; however, the incoming Atlantic jet in IBI is suspected to be too strong such that these <inline-formula><mml:math id="M150" display="inline"><mml:mi mathvariant="italic">ζ</mml:mi></mml:math></inline-formula> values may be an overestimate <xref ref-type="bibr" rid="bib1.bibx60" id="paren.58"/>. Outside of the eddy radii (i.e., from approximately <inline-formula><mml:math id="M151" display="inline"><mml:mi>L</mml:mi></mml:math></inline-formula> to <inline-formula><mml:math id="M152" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mi>L</mml:mi></mml:mrow></mml:math></inline-formula>), the <inline-formula><mml:math id="M153" display="inline"><mml:mi mathvariant="italic">ζ</mml:mi></mml:math></inline-formula> values are uniformly positive.</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F7" specific-use="star"><?xmltex \currentcnt{7}?><label>Figure 7</label><caption><p id="d1e2939">Eddy composite sections from GLO,
MFS and IBI in the Western Alboran Gyre. Left-hand-side
(right-hand-side) columns show zonal (meridional) sections of (top-to-bottom) relative vorticity, temperature anomalies and salinity
anomalies, from the surface to the ocean floor. The central position
of each section is the median of the longitudes and latitudes associated
with the eddy observations used to make the composites (Table <xref ref-type="table" rid="Ch1.T2"/>). Blue lines indicate the mixed layer depth; the dotted blue line corresponds to the MLD from the MFS model. The vertical
brown line in each section is the vorticity-based tilt correction
(see Sect. <xref ref-type="sec" rid="Ch1.S3.SS6"/>). Vertical dashed  orange lines
indicate the boundaries of each composite eddy based on its mean radius
estimate from Table <xref ref-type="table" rid="Ch1.T2"/>.
Composite topographic profiles in black are from SRTM and also in red from GLO. Note the change of vertical scale
at 300 m.</p></caption>
            <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://os.copernicus.org/articles/15/1111/2019/os-15-1111-2019-f07.png"/>

          </fig>

      <?pagebreak page1122?><p id="d1e2954">The temperature anomalies in the middle row of Fig. <xref ref-type="fig" rid="Ch1.F6"/> vary in depth between <inline-formula><mml:math id="M154" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula> and 155 m. There is inconsistency between the models in terms of the depths in each subregion. For example, the shallowest anomaly in MFS is in the WAG, whereas IBI has its deepest anomaly in this subregion. The most intense values of <inline-formula><mml:math id="M155" display="inline"><mml:mrow><mml:msup><mml:mi>T</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> are found in GLO in the WAG. In the eddy impact region of this eddy composite, there is intense negative <inline-formula><mml:math id="M156" display="inline"><mml:mrow><mml:msup><mml:mi>T</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> in the southern and western quadrants; on the eastern side there is an abrupt transition to an arc of positive <inline-formula><mml:math id="M157" display="inline"><mml:mrow><mml:msup><mml:mi>T</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> over the Alboran Trough at <inline-formula><mml:math id="M158" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">3.5</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M159" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W. The MFS WAG pattern is similar, although the strength of the anomaly is smaller.  IBI has a strong <inline-formula><mml:math id="M160" display="inline"><mml:mrow><mml:msup><mml:mi>T</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> core, with a nearly continuous negative <inline-formula><mml:math id="M161" display="inline"><mml:mrow><mml:msup><mml:mi>T</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> in the eddy impact region. The EAG and CRT <inline-formula><mml:math id="M162" display="inline"><mml:mrow><mml:msup><mml:mi>T</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> patterns are quite consistent between the models, although the IBI CRT <inline-formula><mml:math id="M163" display="inline"><mml:mrow><mml:msup><mml:mi>T</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> is noticeably stronger than in the other models.</p>
      <p id="d1e3065">The salinity anomalies in the bottom row of Fig. <xref ref-type="fig" rid="Ch1.F6"/> are the most consistent of the three variables. The deepest anomalies are in the WAG and the shallowest in the CRT. The fresh <inline-formula><mml:math id="M164" display="inline"><mml:mrow><mml:msup><mml:mi>S</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> composites in the eddy cores have similar magnitudes, and the same is true for the opposite sign in the eddy impact region. In contrast to temperature, the same sign <inline-formula><mml:math id="M165" display="inline"><mml:mrow><mml:msup><mml:mi>S</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> in the impact region is found both south and north of the eddy cores. The most intense <inline-formula><mml:math id="M166" display="inline"><mml:mrow><mml:msup><mml:mi>S</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> is in the WAG in IBI at a depth of 155 m; this contrasts with GLO and MFS minima at 130 and 123 m, respectively.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><?xmltex \currentcnt{8}?><label>Figure 8</label><caption><p id="d1e3105">Same as Fig. <xref ref-type="fig" rid="Ch1.F7"/> but
for the Eastern Alboran Gyre.</p></caption>
            <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://os.copernicus.org/articles/15/1111/2019/os-15-1111-2019-f08.png"/>

          </fig>

</sec>
<sec id="Ch1.S4.SS2.SSS2">
  <label>4.2.2</label><title>Vertical eddy composite: the Western Alboran Gyre</title>
      <p id="d1e3125">Vertical sections through zonal and meridional anticyclonic WAG eddy
composites in Fig. <xref ref-type="fig" rid="Ch1.F7"/> reveal good structural
agreement between the models in <inline-formula><mml:math id="M167" display="inline"><mml:mrow><mml:mi mathvariant="italic">ζ</mml:mi><mml:mo>/</mml:mo><mml:mi>f</mml:mi></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M168" display="inline"><mml:mrow><mml:msup><mml:mi>T</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>
and <inline-formula><mml:math id="M169" display="inline"><mml:mrow><mml:msup><mml:mi>S</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>. There are also some striking differences. The widths
of the anomalies broadly correspond to the mean radii marked in orange
in Fig. <xref ref-type="fig" rid="Ch1.F7"/> for each eddy composite (Table <xref ref-type="table" rid="Ch1.T2"/>).
The tilt of the eddies is described by the vertical brown lines;
tilt is estimated based on the position of absolute maximum <inline-formula><mml:math id="M170" display="inline"><mml:mi mathvariant="italic">ζ</mml:mi></mml:math></inline-formula> within the eddy radius at each vertical <inline-formula><mml:math id="M171" display="inline"><mml:mi>z</mml:mi></mml:math></inline-formula> level for the respective models; see Sect. <xref ref-type="sec" rid="Ch1.S3.SS6"/> and Figs. S2–S4. There is good agreement in eddy tilt between the models, especially in the meridional composites.</p>
      <p id="d1e3185">Concerning the eddy composite topography, the zonal plots indicate shoaling towards
the Strait of Gibraltar in the west. The meridional plots show the
eddies to be centered over the 200 m deep trough just to the north of the Alboran Ridge (see inset in Fig. <xref ref-type="fig" rid="Ch1.F1"/>) at the bottom of the Alboran basin. Due to the successively higher model grid resolutions, more topographic details are visible in IBI and MFS than in GLO. The median IBI WAG position is to the west and south of the MFS and GLO positions; this explains the apparent shallower IBI topographic composite.</p>
      <p id="d1e3190">The intensity of surface-intensified negative <inline-formula><mml:math id="M172" display="inline"><mml:mrow><mml:mi mathvariant="italic">ζ</mml:mi><mml:mo>/</mml:mo><mml:mi>f</mml:mi></mml:mrow></mml:math></inline-formula>
more than doubles between GLO and IBI, and the anomalies
extend downward to between <inline-formula><mml:math id="M173" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">150</mml:mn></mml:mrow></mml:math></inline-formula> m (GLO) and <inline-formula><mml:math id="M174" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">200</mml:mn></mml:mrow></mml:math></inline-formula> m (IBI) (top row Fig. <xref ref-type="fig" rid="Ch1.F7"/>).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9" specific-use="star"><?xmltex \currentcnt{9}?><label>Figure 9</label><caption><p id="d1e3230">Same as Fig. <xref ref-type="fig" rid="Ch1.F7"/> but for the Cartagena frontal region.</p></caption>
            <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://os.copernicus.org/articles/15/1111/2019/os-15-1111-2019-f09.png"/>

          </fig>

      <p id="d1e3241">GLO and MFS <inline-formula><mml:math id="M175" display="inline"><mml:mrow><mml:msup><mml:mi>T</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> sections are quite similar
with two positive cores, one between the surface and about 50 m, and
the other at 110 m (middle row in Fig. <xref ref-type="fig" rid="Ch1.F7"/>). The
IBI section is distinct, as it has just one core at 150 m and
no expression at the surface. The zonal sections have weak negative
<inline-formula><mml:math id="M176" display="inline"><mml:mrow><mml:msup><mml:mi>T</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> anomalies on their eastern flanks in the eddy impact
area beyond the radius. The strongest <inline-formula><mml:math id="M177" display="inline"><mml:mrow><mml:msup><mml:mi>T</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> anomalies are seen
in GLO (upper core) and IBI.</p>
      <p id="d1e3279">WAG <inline-formula><mml:math id="M178" display="inline"><mml:mrow><mml:msup><mml:mi>S</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> anomalies from the models have similar structure in Fig. <xref ref-type="fig" rid="Ch1.F7"/> (bottom row). Single cores of negative <inline-formula><mml:math id="M179" display="inline"><mml:mrow><mml:msup><mml:mi>S</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>
are centered at around 135 m. The upper surfaces of these anomalies
shoal towards the north and east, producing a small surface expression
within the northeast quadrant of each eddy.</p>
</sec>
<sec id="Ch1.S4.SS2.SSS3">
  <label>4.2.3</label><title>Vertical eddy composite: the Eastern Alboran Gyre</title>
      <p id="d1e3314">Structural agreement similar to that of the Western Alboran Gyre above
is also visible in the vertical sections of <inline-formula><mml:math id="M180" display="inline"><mml:mrow><mml:mi mathvariant="italic">ζ</mml:mi><mml:mo>/</mml:mo><mml:mi>f</mml:mi></mml:mrow></mml:math></inline-formula>,
<inline-formula><mml:math id="M181" display="inline"><mml:mrow><mml:msup><mml:mi>T</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M182" display="inline"><mml:mrow><mml:msup><mml:mi>S</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> in the Eastern Alboran Gyre (Fig. <xref ref-type="fig" rid="Ch1.F8"/>). The eddies here have marginally larger radii
than in the WAG (Table <xref ref-type="table" rid="Ch1.T2"/>)
and lie in slightly deeper waters. The intensity of <inline-formula><mml:math id="M183" display="inline"><mml:mrow><mml:mi mathvariant="italic">ζ</mml:mi><mml:mo>/</mml:mo><mml:mi>f</mml:mi></mml:mrow></mml:math></inline-formula>
progressively increases from GLO to IBI. Zonal sections
of <inline-formula><mml:math id="M184" display="inline"><mml:mrow><mml:mi mathvariant="italic">ζ</mml:mi><mml:mo>/</mml:mo><mml:mi>f</mml:mi></mml:mrow></mml:math></inline-formula> are symmetric with weak tilt (top row Fig. <xref ref-type="fig" rid="Ch1.F8"/>); the eddies are centered over topography
that descends towards the east. The meridional sections of <inline-formula><mml:math id="M185" display="inline"><mml:mrow><mml:mi mathvariant="italic">ζ</mml:mi><mml:mo>/</mml:mo><mml:mi>f</mml:mi></mml:mrow></mml:math></inline-formula>
are asymmetric with strong agreement between each model. The eddies
tilt towards the north over the first <inline-formula><mml:math id="M186" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">100</mml:mn></mml:mrow></mml:math></inline-formula>–175 m, then back
towards the south down to <inline-formula><mml:math id="M187" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">600</mml:mn></mml:mrow></mml:math></inline-formula>–700 m, where they begin to feel
the topography on their southern flanks.</p>
      <p id="d1e3414">Both  <inline-formula><mml:math id="M188" display="inline"><mml:mrow><mml:msup><mml:mi>T</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M189" display="inline"><mml:mrow><mml:msup><mml:mi>S</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> anomalies
in the EAG are slightly weaker than those of the WAG. In contrast
to the WAG, zonal <inline-formula><mml:math id="M190" display="inline"><mml:mrow><mml:msup><mml:mi>T</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> in GLO and IBI has a
surface signature comparable to that below; MFS, on the other
hand, has a weak surface signature that only becomes significant at
about 30 m. The zonal <inline-formula><mml:math id="M191" display="inline"><mml:mrow><mml:msup><mml:mi>S</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> structure is the reverse of <inline-formula><mml:math id="M192" display="inline"><mml:mrow><mml:msup><mml:mi>T</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>:
in GLO and IBI, the anomaly is centered between <inline-formula><mml:math id="M193" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">50</mml:mn></mml:mrow></mml:math></inline-formula> and 150 m, whereas in MFS it reaches the surface. The meridional
<inline-formula><mml:math id="M194" display="inline"><mml:mrow><mml:msup><mml:mi>S</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> sections emphasize the strong northward tilt of the
eddies. Negative <inline-formula><mml:math id="M195" display="inline"><mml:mrow><mml:msup><mml:mi>S</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> is concentrated north of the eddy center
between the surface and <inline-formula><mml:math id="M196" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">100</mml:mn></mml:mrow></mml:math></inline-formula> m in each of the models.</p>
</sec>
<sec id="Ch1.S4.SS2.SSS4">
  <label>4.2.4</label><title>Vertical eddy composite: the Cartagena frontal region</title>
      <p id="d1e3523">Detected eddies in the Cartagena frontal region to the east of the
EAG have weaker tracer and circulation anomalies than in the Alboran
gyres (Fig. <xref ref-type="fig" rid="Ch1.F9"/>). Eddy radii here from GLO
and MFS are slightly smaller than in the WAG and EAG; the IBI
CRT eddies meanwhile have the largest radii for all three subregions
(Table <xref ref-type="table" rid="Ch1.T2"/>). Depths
in the CRT reach 2500 m, and seafloor gradients are smaller than those
in the Alboran gyres of Figs. <xref ref-type="fig" rid="Ch1.F7"/> and <xref ref-type="fig" rid="Ch1.F8"/>.
The same <inline-formula><mml:math id="M197" display="inline"><mml:mrow><mml:mi mathvariant="italic">ζ</mml:mi><mml:mo>/</mml:mo><mml:mi>f</mml:mi></mml:mrow></mml:math></inline-formula> intensity increase from GLO
to IBI observed in the WAG and EAG is visible in Fig. <xref ref-type="fig" rid="Ch1.F9"/>
(top row). MFS and IBI <inline-formula><mml:math id="M198" display="inline"><mml:mrow><mml:mi mathvariant="italic">ζ</mml:mi><mml:mo>/</mml:mo><mml:mi>f</mml:mi></mml:mrow></mml:math></inline-formula> zonal
sections are symmetric with small tilt; GLO has pronounced
westward tilt down to about 150 m. The meridional <inline-formula><mml:math id="M199" display="inline"><mml:mrow><mml:mi mathvariant="italic">ζ</mml:mi><mml:mo>/</mml:mo><mml:mi>f</mml:mi></mml:mrow></mml:math></inline-formula>
sections are again asymmetric, with agreement between the models.
The eddies tilt northward between the surface and <inline-formula><mml:math id="M200" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">125</mml:mn></mml:mrow></mml:math></inline-formula> m.<?pagebreak page1123?> The
eddies are centered over the deepest isobath in both the zonal and
meridional directions. Tracer  <inline-formula><mml:math id="M201" display="inline"><mml:mrow><mml:msup><mml:mi>T</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M202" display="inline"><mml:mrow><mml:msup><mml:mi>S</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> anomalies
in the CRT are weaker than in the Alboran gyres. The cores with maximum
<inline-formula><mml:math id="M203" display="inline"><mml:mrow><mml:msup><mml:mi>T</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> are found at around 100 m depth in the three models,
with GLO slightly deeper (Fig. <xref ref-type="fig" rid="Ch1.F9"/>j) and MFS
shallower (Fig. <xref ref-type="fig" rid="Ch1.F9"/>k). In the upper <inline-formula><mml:math id="M204" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">30</mml:mn></mml:mrow></mml:math></inline-formula> m, <inline-formula><mml:math id="M205" display="inline"><mml:mrow><mml:msup><mml:mi>T</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> is near zero in GLO and MFS, while IBI
has a weak positive <inline-formula><mml:math id="M206" display="inline"><mml:mrow><mml:msup><mml:mi>T</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> between the surface and <inline-formula><mml:math id="M207" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula> m. The vertical extents of the <inline-formula><mml:math id="M208" display="inline"><mml:mrow><mml:msup><mml:mi>T</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> anomalies progress from
around 250 m (GLO) to 800 m (IBI). The
anomalies are compensated by negative <inline-formula><mml:math id="M209" display="inline"><mml:mrow><mml:msup><mml:mi>S</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> anomalies of broadly similar
structure (Fig. <xref ref-type="fig" rid="Ch1.F9"/>m–r).</p>
</sec>
<?pagebreak page1124?><sec id="Ch1.S4.SS2.SSS5">
  <label>4.2.5</label><title>Seasonal mixed layer depth</title>
      <p id="d1e3696">Good agreement in the seasonal cycle of the WAG mixed layer depth between the models is evident in Fig. <xref ref-type="fig" rid="Ch1.F10"/>. The most interesting observation from the model estimates is the large variability, both seasonal as well as intra-seasonal, with the latter prominent in winter and autumn. As shortwave solar radiation increases from spring to summer, it induces strong stratification that is at its maximum at the end of the summer, leading to shallow MLDs of between <inline-formula><mml:math id="M210" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula> and 15 m. In autumn, with decreasing shortwave radiation forcing, the MLD deepens to maxima of around 50 m (75 m for IBI). In winter, under the influence of wind-forced mixing processes,  the model MLD estimates in the WAG are the deepest over the seasonal cycle, with IBI again having the maximum<?pagebreak page1125?> values with depths below 100 m.
Our MLD estimates from the model outputs are in good agreement (especially in summer and autumn), with climatological Mediterranean MLD values reported by <xref ref-type="bibr" rid="bib1.bibx35" id="text.59"/> that are based on density computed from observations. Small differences can be explained by (i) different methodological approaches  <xref ref-type="bibr" rid="bib1.bibx34" id="paren.60"><named-content content-type="pre">here we use the density algorithm of</named-content></xref> and (ii) our estimates being, by design, biased in that we only sample eddies.</p>
      <p id="d1e3719">The large variability in MLD over the course of a year may have important implications for upper-layer processes, such as vertical motions associated with mesoscale structures (i.e., the WAG and EAG) that promote exchange of mass, heat and tracers between the surface and the ocean  interior.
Seasonal MLD variability for the EAG and CRT subregions is similar to that shown for the WAG in Fig. <xref ref-type="fig" rid="Ch1.F10"/>; see Figs. S18 and S19.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F10" specific-use="star"><?xmltex \currentcnt{10}?><label>Figure 10</label><caption><p id="d1e3726">Mean and standard deviation of the seasonal mixed layer depth in anticyclones in the Western Alboran Gyre for GLO (top row),  MFS (middle row) and IBI (bottom column). Zonal (meridional) profiles are in blue (orange). Vertical dotted lines mark the mean eddy radius from the center.</p></caption>
            <?xmltex \igopts{width=412.564961pt}?><graphic xlink:href="https://os.copernicus.org/articles/15/1111/2019/os-15-1111-2019-f10.png"/>

          </fig>

<?xmltex \hack{\newpage}?>
</sec>
</sec>
<sec id="Ch1.S4.SS3">
  <label>4.3</label><title>Validation with Argo data</title>
      <p id="d1e3746">An important final point concerns validation of the above eddy composite results. Our present operational in situ observing system in the WMED is not able to provide sufficient density and frequency of observations for the creation of a comprehensive reference eddy composite dataset. This is especially the case in the semi-enclosed Alboran Sea where instrument residence times (Argo floats, for instance) are very short due to the large density gradients and associated strong currents. The current best approach is to use the CMEMS ARMOR3D product <xref ref-type="bibr" rid="bib1.bibx47" id="paren.61"><named-content content-type="pre">as done by</named-content><named-content content-type="post">in the Brazil–Malvinas Confluence</named-content></xref>. Here, we cannot use ARMOR3D because (i) it is not presently recommended for the Mediterranean Sea (Sandrine Mulet, personal communication, 2018) and (ii) its current 0.25<inline-formula><mml:math id="M211" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> grid resolution is too coarse for meaningful representation of the semi-enclosed Alboran Sea. Despite the limitations noted above, our only resource therefore for validation is individual <inline-formula><mml:math id="M212" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M213" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula> profiles from Argo corresponding to the 2013–2016 study period.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F11" specific-use="star"><?xmltex \currentcnt{11}?><label>Figure 11</label><caption><p id="d1e3781">Comparison of temperature and salinity–depth profiles at the center of each model anticyclonic eddy and its nearest Argo observation in the Western Alboran Gyre subregion. The first column shows mean <inline-formula><mml:math id="M214" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> profiles for the respective models and Argo; the second column shows the corresponding <inline-formula><mml:math id="M215" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> root mean square deviations with depth between the model and Argo <inline-formula><mml:math id="M216" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> observations.  Argo profiles colored blue (green) are located inside (outside) the eddy radius, viz. 0–<inline-formula><mml:math id="M217" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mi>L</mml:mi></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M218" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mi>L</mml:mi></mml:mrow></mml:math></inline-formula>–<inline-formula><mml:math id="M219" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mi>L</mml:mi></mml:mrow></mml:math></inline-formula>, as indicated in the inset eddy-centric-coordinate maps in the second column  that show the relative (to the eddy center) positions of each Argo profile.  The respective model profiles corresponding to the Argo selections are colored orange and red. Profiles in the third and fourth columns  show the results for <inline-formula><mml:math id="M220" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula>. The Argo sample size (<inline-formula><mml:math id="M221" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula>) at each depth for each model is found in the fifth column. Rows show GLO (top), MFS (middle) and IBI (bottom).</p></caption>
          <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://os.copernicus.org/articles/15/1111/2019/os-15-1111-2019-f11.png"/>

        </fig>

      <p id="d1e3856">We computed the root mean square deviations (RMSDs) between the model <inline-formula><mml:math id="M222" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M223" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula> profiles at the center of each anticyclonic eddy and two cohorts of Argo profiles; the first cohort is composed of all the profiles within the eddy radius (0–<inline-formula><mml:math id="M224" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mi>L</mml:mi></mml:mrow></mml:math></inline-formula>), and the second is composed of those in the eddy impact region (<inline-formula><mml:math id="M225" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mi>L</mml:mi></mml:mrow></mml:math></inline-formula>–<inline-formula><mml:math id="M226" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mi>L</mml:mi></mml:mrow></mml:math></inline-formula>).  For both cohorts, the date of each profile is required to correspond to that of the model eddy observation. The expectation is that results from the first Argo cohort, which are closer to the eddy center than the second cohort, will produce a smaller RMSD.  This is generally what we find in all three Alboran Sea subregions: the WAG in Fig. <xref ref-type="fig" rid="Ch1.F11"/>, and the EAG and CRT in Figs. S20 and S21. Across the Alboran Sea, the positive impact of data assimilation in GLO and MFS is readily apparent in comparison with IBI.
We can therefore state with some confidence that the eddy composite results in Figs. <xref ref-type="fig" rid="Ch1.F6"/> through <xref ref-type="fig" rid="Ch1.F9"/> are reasonably accurate. Furthermore, the consistency between the models in vertical eddy structure for each variable, in both <inline-formula><mml:math id="M227" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M228" display="inline"><mml:mi>y</mml:mi></mml:math></inline-formula> planes,  provides further reason for confidence. (More examples of this consistency can be seen in five further subregions across the WMED in Figs. S5–S9 (anticyclones) and Figs. S10–S17 (cyclones).) Nevertheless, a higher resolution version of ARMOR3D for the Mediterranean (and other regional seas) much like, for example, the <inline-formula><mml:math id="M229" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M230" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> Mediterranean altimetric SLA and absolute dynamic topography (ADT) CMEMS products, would be a useful resource for model validations such as those presented here.</p>
</sec>
</sec>
<sec id="Ch1.S5">
  <label>5</label><title>Discussion</title>
      <p id="d1e3955">An eddy tracker and eddy-centric compositing techniques have been applied to the outputs of three CMEMS model products in order to assess their ability to reproduce<?pagebreak page1126?> mesoscale variability and three-dimensional structure (eddies). Our results suggest that this approach can yield useful feedback to the developers of the CMEMS operational models, while also enabling regional and subregional characterizations of three-dimensional mesoscale eddy structure that is of interest to users of the CMEMS products.</p>
      <p id="d1e3958">It is important, however, to stress that we do not see the techniques used here as a substitute for other existing means of model evaluation and validation. Numerous sensitivity tests may be required to identify the sources of minor differences between runs. For example, the disparities in vertical eddy structure in Sect. <xref ref-type="sec" rid="Ch1.S4.SS2"/> may arise from differences in the vertical discretization, the mixing scheme,  divergence resulting from the advection scheme, or the projection to depth of surface information by the data assimilation.</p><?xmltex \hack{\newpage}?>
<sec id="Ch1.S5.SS1">
  <label>5.1</label><title>Impact on future MFC product improvement</title>
      <p id="d1e3971">Beyond the added value of simply having an additional diagnostic to validate and compare different CMEMS products, we find that an important benefit of the eddy-centric composite information is the potential for insight into the choices made for the model configurations.</p>
      <p id="d1e3974">The eddy tracker enables evaluation of the different numerical choices made when designing a  model setup. For example, the horizontal advection scheme and its associated dissipation are strongly linked with eddy lifetime. The lateral boundary conditions (free slip versus no slip) at the coast modify horizontal current shear, hence leading to generation of more, or less, eddies.
A second example concerns the possibility,  based on the eddy composite information, of tuning of the vertical advection schemes in the models.</p>
      <?pagebreak page1127?><p id="d1e3977"><?xmltex \hack{\newpage}?>Regarding the CMEMS reanalyses and forecasts, metrics from an eddy tracker may aid in the diagnoses of the work done by the data assimilation schemes and their capability to accurately reproduce mesoscale structures in space and time.
An eddy tracker can also be helpful in assessing and improving the vertical projection of surface information that is done by the data assimilation schemes
or validating the gradual incorporation of the increments computed by the data assimilation schemes.</p>
      <p id="d1e3981">The benefit of data assimilation in GLO and MFS is illustrated in Sect. <xref ref-type="sec" rid="Ch1.S4.SS3"/>, where RMSDs are computed for Argo profiles of <inline-formula><mml:math id="M231" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M232" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula> inside and just outside the periphery of individual eddy observations and corresponding model profiles at the center of the eddy. GLO and MFS are found to have smaller RMSD profiles than IBI for both tracer variables, which we can reasonably expect given the data assimilation.</p>
      <p id="d1e4001">The value of including tides is less easy to demonstrate. Tides are generally weak in the Mediterranean Sea as a whole, but they are relevant in the Strait of Gibraltar <xref ref-type="bibr" rid="bib1.bibx10" id="paren.62"><named-content content-type="pre">e.g.,</named-content></xref>. Due to their effect on the thermohaline circulation of the Mediterranean Sea, namely upper- and intermediate-layer cooling and increasing salinity, many have argued for their inclusion in Mediterranean Sea model configurations <xref ref-type="bibr" rid="bib1.bibx30 bib1.bibx50" id="paren.63"><named-content content-type="pre">e.g.,</named-content></xref>.
In the WAG in Fig. <xref ref-type="fig" rid="Ch1.F7"/>, we showed that IBI, which has tides, has a very small positive <inline-formula><mml:math id="M233" display="inline"><mml:mrow><mml:msup><mml:mi>T</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> in the upper 75 m in comparison with GLO and MFS, which both have stronger positive <inline-formula><mml:math id="M234" display="inline"><mml:mrow><mml:msup><mml:mi>T</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>. This difference may simply be a result of the absence of assimilation in IBI. But there remains the possibility that this discrepancy in the respective <inline-formula><mml:math id="M235" display="inline"><mml:mrow><mml:msup><mml:mi>T</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> differences in Fig. <xref ref-type="fig" rid="Ch1.F7"/> is<?pagebreak page1128?> at least partially the inclusion of tides in IBI; GLO and MFS lack the tidal-induced vertical mixing across the WAG that acts to cool the surface mixed layer. If this suggestion can be confirmed by the respective MFC engineers, then a recommendation might be made to include tides in future versions of GLO and MFS. However, inclusion of tides may not be a trivial task in the case of a global model such as GLO, and so extensive cost–benefit research should be carried out beforehand. Other factors that could lead to discrepancies like the <inline-formula><mml:math id="M236" display="inline"><mml:mrow><mml:msup><mml:mi>T</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> differences we have observed include the different bulk heat flux parameterizations used at the surface, turbulence closure schemes and vertical mixing parameterizations, and numbers of vertical levels and their distribution. These are all aspects that the MFC engineers will take into consideration.</p>
      <p id="d1e4063">Model resolution appears to have an impact on the strength of the eddy properties and their ratios in Sect. <xref ref-type="sec" rid="Ch1.S4.SS1"/>, and the <inline-formula><mml:math id="M237" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M238" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M239" display="inline"><mml:mi mathvariant="italic">ζ</mml:mi></mml:math></inline-formula> composite anomalies in Sect. <xref ref-type="sec" rid="Ch1.S4.SS2"/>. The differences become apparent by comparison with Figs. S2 through S4,
where the tilt correction is applied during the making of the composites. Notice the larger numbers of <inline-formula><mml:math id="M240" display="inline"><mml:mi mathvariant="italic">ζ</mml:mi></mml:math></inline-formula> contours (white) in Figs. S2–S4 and also the negative <inline-formula><mml:math id="M241" display="inline"><mml:mi mathvariant="italic">ζ</mml:mi></mml:math></inline-formula> that extends all the way to the seabed in each of the models. Choice of model resolution is highly dependent on the size of the domain to be used; for the moment, it is unlikely that in the near future we will see the global GLO at the resolution of IBI. On the other hand, the new version of MFS that was released during the writing of this paper in 2018 has a horizontal resolution of <inline-formula><mml:math id="M242" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">24</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M243" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> (a 33 % increase over the version used here) and double the number of vertical levels.</p>
</sec>
<sec id="Ch1.S5.SS2">
  <label>5.2</label><title>Potential benefits for CMEMS users</title>
      <p id="d1e4135">There is increasing interest and demand in the CMEMS user community for information and data on mesoscale structures <xref ref-type="bibr" rid="bib1.bibx16" id="paren.64"><named-content content-type="pre">e.g.,</named-content></xref>.
The results presented here suggest that developing an operational version of these techniques for eddy tracking, and eddy-centric compilation of a range of diagnostic variables, could be a useful addition to the CMEMS catalogue.  These can be considered as novel diagnostics and could contribute to a training database of mesoscale features that could be exploited for the purposes of machine learning.
In the near future, it is expected that CMEMS and/or downstream users will be able to access automated procedures that can detect mesoscale patterns in the ocean.</p>
</sec>
</sec>
<sec id="Ch1.S6" sec-type="conclusions">
  <label>6</label><title>Conclusions</title>
      <p id="d1e4152">New insight is provided into the mesoscale content of three CMEMS operational model products, GLO, MFS and IBI, using a robust, sea-surface-height-based eddy identification and tracking tool. The analysis period is 2013 through 2016. Maps for each model product of mean eddy properties, including position, lifetime, radius and amplitude, reveal general consistency over the western Mediterranean Sea study region.</p>
      <p id="d1e4155">The models that include data assimilation, GLO and MFS, approximate most closely the eddy property distributions observed with contemporaneous SSH observations from altimetry.
Knowledge of eddy location enables construction of subregional 3-D eddy
composites of the model prognostic variables such as temperature, salinity and relative vorticity. Eddy-centric composites of these variables in three subregions of the Alboran Sea reveal the strong frontal characteristics associated with the Alboran gyres. The eddy-centric composites also provide feedback about the impacts of inclusion of data assimilation, tides or other parameterizations in the respective model configurations.
The positive impact of data assimilation is not possible without the provision of high-quality in situ and (high-resolution) satellite observations.</p>
      <p id="d1e4158">In order to improve marine forecasts in the decades ahead, these systems must be sustained and expanded with the inclusion of new technological developments.
The eddy-tracking tool and compositing analysis approach presented in this study are an alternative and innovative validation diagnostic for operational and reanalyses products. In addition, eddy characteristics derived from eddy-tracking tools have the potential to become a new mesoscale ocean monitoring indicator <xref ref-type="bibr" rid="bib1.bibx70" id="paren.65"/>. Improvements in the CMEMS operational models will contribute to advances in characterization and understanding of mesoscale physical processes and their role in the functioning of marine ecosystems.</p>
</sec>

      
      </body>
    <back><notes notes-type="codedataavailability"><title>Code and data availability</title>

      <p id="d1e4168">The eddy identification and tracking code is available at <uri>https://bitbucket.org/emason/py-eddy-tracker/src/default/</uri> (last
access: 18 August 2017, Mason et al., 2014). The respective CMEMS model data (GLO, MFS and IBI) can be found at
<uri>http://marine.copernicus.eu/services-portfolio/access-to-products/</uri>  (last access: 5 June 2017) (Lellouche et al., 2018; Tonani et al., 2015; Aznar et al., 2016). Eddy-tracking and composite data and related codes can be made available from the first author upon request.</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d1e4177">The supplement related to this article is available online at: <inline-supplementary-material xlink:href="https://doi.org/10.5194/os-15-1111-2019-supplement" xlink:title="pdf">https://doi.org/10.5194/os-15-1111-2019-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e4186">SR and EM defined the objectives and work plan for the investigation.  RB, GR and MGS provided technical expertise about the GLO and IBI models. EM prepared the codes for the analyses and figures.  EM prepared the paper with contributions from all coauthors, with particular input from SR, RB and AP.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e4192">The authors declare that they have no conflict of interest.</p>
  </notes><notes notes-type="sistatement"><title>Special issue statement</title>

      <p id="d1e4198">This article is part of the special issue “The Copernicus Marine Environment Monitoring Service (CMEMS): scientific advances”. It is not associated with a conference.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e4204">This work was carried out as part of the Copernicus Marine Environment Monitoring Service (CMEMS) MedSUB project (CALL 21-SE-CALL1). CMEMS is implemented by Mercator Océan in the framework of a delegation agreement with the European Union.
Evan Mason was supported by the MedSUB project during the investigative and writing phases of this paper. Evan Mason was also supported, in part, by the NASA Physical Oceanography Program (award NNX16AH9G).
The Ssalto/Duacs altimeter products are produced and distributed by the Copernicus Marine and Environment Monitoring
Service (CMEMS) (<uri>http://marine.copernicus.eu</uri>, last access: 5 June 2017).
We are grateful to Yann Drillet for his helpful comments concerning the interpretation of the eddy composite results. Simón Ruiz and Ananda Pascual acknowledge partial support from WHOI subcontract A101339. We thank Antoine Delepoulle for his contributions to the eddy tracker code.  Lastly, we thank the editor and two anonymous reviewers whose input has substantially improved this paper.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e4212">This research has been supported by the Copernicus Marine Service (grant no. CMEMS Service Evolution 21-SE-CALL1).</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e4219">This paper was edited by Emil Stanev and reviewed by two anonymous referees.</p>
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    <!--<article-title-html>New insight into 3-D mesoscale eddy properties from CMEMS operational models in the western Mediterranean</article-title-html>
<abstract-html><p>Rapid evolution of operational ocean forecasting systems is driven by advances
in numerics and data assimilation schemes, and increase of in situ and satellite observations. The Copernicus Marine Service (CMEMS) is a major provider of operational products that are made available through an online catalogue. The service includes global and regional forecasts in near-real-time and reanalysis modes. Here, we apply an eddy tracker to daily sea surface height (SSH) fields from three such reanalysis products from the CMEMS catalogue, with the objective to evaluate their performance in terms of their eddy properties and three-dimensional composite structures over the 2013–2016 period. The products are (i) the Global Analysis Forecast, (ii) the Mediterranean Analysis Forecast and (iii) the Iberia–Biscay–Ireland Analysis Forecast. The common domain between these reanalyses is the western Mediterranean Sea (WMED) between the Strait of Gibraltar and Sardinia. This is a complex region with strong density gradients, especially in the Alboran Sea in the west where Atlantic and Mediterranean waters compete. Surface eddy property maps over the WMED of eddy radii, amplitudes and nonlinearity are consistent between the models, as well as with gridded altimetric data that serve as a reference. Mean 3-D eddy composites are shown only for three subregions in the Alboran Sea. These are mostly consistent between the models, with minor differences being attributed to details of the respective model configurations. This information can be informative for the ongoing development of these CMEMS operational modeling systems. The mesoscale data provided here may be of interest to CMEMS users and in the future could  be a useful addition to a more diverse CMEMS catalogue.</p></abstract-html>
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