<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing with OASIS Tables v3.0 20080202//EN" "journalpub-oasis3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:oasis="http://docs.oasis-open.org/ns/oasis-exchange/table" xml:lang="en" dtd-version="3.0" article-type="research-article"><?xmltex \makeatother\@nolinetrue\makeatletter?><?xmltex \bartext{Research article}?>
  <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-18-1805-2022</article-id><title-group><article-title>Imminent reversal of the residual flow through the Marsdiep <?xmltex \hack{\break}?>tidal inlet into
the Dutch Wadden Sea based on multiyear ferry-<?xmltex \hack{\break}?>borne acoustic Doppler current profiler (ADCP) observations</article-title><alt-title>Changes in residual flow through the Marsdiep</alt-title>
      </title-group><?xmltex \runningtitle{Changes in residual flow through the Marsdiep}?><?xmltex \runningauthor{J.~van~der~Molen et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>van der Molen</surname><given-names>Johan</given-names></name>
          <email>johan.van.der.molen@nioz.nl</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Groeskamp</surname><given-names>Sjoerd</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Maas</surname><given-names>Leo R. M.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-1523-7548</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Department of Coastal Systems, Royal Netherlands Institute for Sea Research (NIOZ), P.O. Box 59,
<?xmltex \hack{\break}?>1790 AB Den Burg (Texel), the Netherlands</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Institute for Marine and Atmospheric Research (IMAU), Utrecht
University, Princetonplein 5, <?xmltex \hack{\break}?>3584 CC Utrecht, the Netherlands</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Johan van der Molen (johan.van.der.molen@nioz.nl)</corresp></author-notes><pub-date><day>20</day><month>December</month><year>2022</year></pub-date>
      
      <volume>18</volume>
      <issue>6</issue>
      <fpage>1805</fpage><lpage>1816</lpage>
      <history>
        <date date-type="received"><day>1</day><month>August</month><year>2022</year></date>
           <date date-type="rev-request"><day>8</day><month>August</month><year>2022</year></date>
           <date date-type="rev-recd"><day>20</day><month>October</month><year>2022</year></date>
           <date date-type="accepted"><day>19</day><month>November</month><year>2022</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2022 Johan van der Molen et al.</copyright-statement>
        <copyright-year>2022</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/18/1805/2022/os-18-1805-2022.html">This article is available from https://os.copernicus.org/articles/18/1805/2022/os-18-1805-2022.html</self-uri><self-uri xlink:href="https://os.copernicus.org/articles/18/1805/2022/os-18-1805-2022.pdf">The full text article is available as a PDF file from https://os.copernicus.org/articles/18/1805/2022/os-18-1805-2022.pdf</self-uri>
      <abstract><title>Abstract</title>

      <p id="d1e114">The Dutch Wadden Sea is a UN World Heritage Site connected to the
North Sea by multiple tidal inlets. Although there are strong tidal currents
flowing through these inlets, the magnitude and direction of the residual
circulation in the western Dutch Wadden Sea is important for sediment,
salinity and nutrient balances. We found that the direction of this residual
flow is reversing.</p>

      <p id="d1e117">This residual circulation has been the subject of various studies since the
1970s, in which substantially different net volume fluxes were presented. Differences in tidal conditions in the main inlets,
tidal rectification and meteorology were identified as driving mechanisms. Here we analysed
almost 13 years of acoustic Doppler current profiler (ADCP) observations collected on the ferry crossing the
Marsdiep tidal inlet in the Dutch Wadden Sea since 2009. The results are
combined with earlier investigations covering the period 1998–2009. We find
a significant trend in the magnitude of the residual volume flux, with
decreasing export to the North Sea and with occasional imports observed in
recent years. We hypothesise that this trend is related predominantly to
changes in tides in the North Sea, which are caused by increased strength
and duration of stratification in response to global warming. With warming
projected to continue, we expect the residual flow in the Marsdiep to
continue to reverse to full inflow within the current decade, with potential
knock-on effects for the sediment budget and ecosystem of the western Wadden
Sea.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e129">The Marsdiep (Fig. 1) is the largest and
westernmost tidal inlet in the Dutch Wadden Sea, which is a UN World
Heritage Site, an important nursery area for North Sea fish, and a vital
staging area and food source for migratory birds. The inlet separates the
island of Texel from the mainland and is connected to the Vlie inlet further
north by back-barrier channels, allowing for a net residual water
circulation through the western Dutch Wadden Sea. This residual circulation
carries nutrients, eggs and larvae and influences the regional salt and
sediment budgets. In 1998, flow velocity measurements were started using
acoustic Doppler current profilers (ADCPs) mounted on the TESO (Texels Eigen
Stoomboot Onderneming) ferry across the Marsdiep, which are still ongoing.
One of the objectives was to quantify the net residual flow through the
inlet. However, various studies of the data, each based on periods of time
up to several years, provided differing results for the magnitude of the
residual flow. Since these earlier studies, more than a decade of additional
data has been collected, and the current length of this unique data set
allows for a more rigorous analysis, including determination of decadal
trends. This paper presents an analysis of decadal trends and patterns in
residual flows in the Marsdiep inlet based on these long-term ADCP data. The
remainder of this introduction provides an overview of the hydrography and
morphology of the study area, including a summary of the earlier estimates
of residual flow.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><?xmltex \currentcnt{1}?><?xmltex \def\figurename{Figure}?><label>Figure 1</label><caption><p id="d1e134">Study area with a selection of ferry crossing trajectories.
Contours are depths below mean sea level in metres. Insets: wider area with
arrows pointing to the study area in the Marsdiep inlet and the Vlie
inlet; the blue line is the closure dam Afsluitdijk.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://os.copernicus.org/articles/18/1805/2022/os-18-1805-2022-f01.png"/>

      </fig>

      <p id="d1e143"><?xmltex \hack{\newpage}?>The greatest depth of the Marsdiep is over 40 m, and the width is
approximately 4 km. Tides in the Marsdiep are semi-diurnal, with a range of
about 1.37 m (Nieuwhof and Vos, 2018). The tides are progressive in
character, and tidal current speeds can reach 1.8 m<inline-formula><mml:math id="M1" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M2" 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> and are strongly
asymmetrical (Buijsman and Ridderinkhof, 2007). Fresh water is discharged
into the western Wadden Sea through sluices, with a mean flux estimated at
450 m<inline-formula><mml:math id="M3" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M4" 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> (Ridderinkhof, 1990); this can result in weak surface to
bottom salinity gradients (Zimmerman, 1976a) and stratified conditions that
carry internal waves (Groeskamp et al., 2011).</p>
      <p id="d1e190">Residual currents are directed into the inlet in the southern part of the
inlet and out of the inlet in the northern part, as a result of a suspected
tidally driven residual eddy (Zimmerman, 1976b; Ridderinkhof, 1988). Tides
are flood-dominant in the southern two-thirds and ebb-dominant in the
northern one-third of the inlet in terms of peak velocity and tidal phase
duration (Buijsman and Ridderinkhof, 2007). The tidal basin of the Marsdiep
inlet has an average tidal prism of <inline-formula><mml:math id="M5" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.99</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">9</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M6" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> with a standard
deviation of <inline-formula><mml:math id="M7" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.18</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">9</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M8" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> (Duran-Matute et al., 2014).</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e244">Previously reported residual volume fluxes through the Marsdiep
inlet.</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="right"/>
     <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">Years</oasis:entry>
         <oasis:entry colname="col2">Flux (10<inline-formula><mml:math id="M9" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> m<inline-formula><mml:math id="M10" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M11" 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>)</oasis:entry>
         <oasis:entry colname="col3">Type</oasis:entry>
         <oasis:entry colname="col4">Reference</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">1998–2002</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M12" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2.91</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">ADCP, period averaged</oasis:entry>
         <oasis:entry colname="col4">Buijsman and Ridderinkhof (2007)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">2003–2005</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M13" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1.1</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">ADCP, period averaged</oasis:entry>
         <oasis:entry colname="col4">Nauw et al. (2014)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">2009</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M14" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.5</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">model, annual average</oasis:entry>
         <oasis:entry colname="col4">Sassi et al. (2016)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">2009–2010</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M15" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.6</mml:mn></mml:mrow></mml:math></inline-formula> to <inline-formula><mml:math id="M16" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.7</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">model, “typical conditions”</oasis:entry>
         <oasis:entry colname="col4">Duran-Matute et al. (2014)</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d1e414">Volume transports at peak tidal currents are 5–<inline-formula><mml:math id="M17" display="inline"><mml:mrow><mml:mn mathvariant="normal">10</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">4</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M18" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M19" 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>
(Buijsman and Ridderinkhof, 2007; Nauw et al., 2014). Overall residual
flows are from the Vlie inlet to the Marsdiep, and assumed to be driven by
differences in tidal amplitudes and phases between the two inlets but
display substantial wind-driven variability (Ridderinkhof, 1988; Buijsman
and Ridderinkhof, 2007; Duran-Matute et al., 2014). As a result, reported
residual flows through the Marsdiep vary, depending on the period considered
(Table 1). Despite the generally outward direction
of the residual flow, time lags and non-linearities ensure a residual import
of suspended particulate matter (SPM) of 7–11 Mt yr<inline-formula><mml:math id="M20" 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> (Nauw et al.,
2014).</p>
      <p id="d1e465">The seabed morphology of the Marsdiep inlet is dominated by sand waves. In
the northern half of the inlet, the sand waves are asymmetrical–trochoidal
with heights and lengths of about 2 and 165 m, respectively and are subject
to seasonal variations which may be related to temperature-driven changes in
water viscosity, while in the southern half sand waves are progressive with
heights and lengths of about 3 and 190 m, respectively (Buijsman and Ridderinkhof, 2008a, b). The sand waves migrate in the flood direction with
speeds of up to 90 m yr<inline-formula><mml:math id="M21" 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>. In the southern part, sand-wave migration and
bedload transport are in the flood direction, and slightly more than half of
the bedload transport is caused by tidal asymmetry, while the rest is caused
by residual currents. In the northern part, sediment transport rates are
opposite to the sand-wave migration direction suggesting that suspended load
processes are dominant (Buijsman and Ridderinkhof, 2008b).</p>
      <p id="d1e480">The tidal basin of the Marsdiep inlet was truncated by the damming of the Zuyderzee by the closure dam Afsluitdijk in 1932 (creating the current
Lake IJssel), which caused a strong tidal and morphodynamic response.
Although the morphology of the western Wadden Sea is still adjusting, the
resulting import of sand has reduced to small values since 1980 (Elias et
al., 2012; Wang et al., 2012) but with ongoing import of mud (Colina Alonso
et al., 2021). The present small rates of sand import suggest that, in terms
of volume, the system has reached a new dynamic equilibrium and is now
mostly responding to other forcings such as climate change, sea-level rise
and beach nourishments (Wang et al., 2012). Alongside these changes in the
tidal basin, the ebb-tidal shoal Noorderhaaks has grown, and the seaward end
of the inlet channel has shifted closer to the mainland coast (Elias et al.,
2012), a process that is likely still ongoing.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Methods</title>
<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>ADCP observations</title>
      <p id="d1e498">Two Teledyne RD Instruments Workhorse Monitor 1200 kHz ADCPs
(<uri>http://www.teledynemarine.com/workhorse-monitor-adcp</uri>, last access: 8 December 2022) were mounted on the roll-on,
roll-off ferry. One at each end of the ship, at 4.5 m below the sea surface.
The ferry has identical bow and stern design and reverses sailing direction
at each crossing (Fig. 1). In this configuration,
one instrument is at the front of the ferry at any one time and undisturbed
by the wake of the ship. Each instrument has four beams at angles of
20<inline-formula><mml:math id="M22" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>. Data were recorded in 50 bins of 0.5 m width. Further
instrument settings are given in Table 2. In
addition, both ends of the ferry were fitted with a differential GPS (JRC
JLR-21/31), and a gyroscopic compass (Alphatron Alphaminicourse) to record
position and orientation.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2"><?xmltex \currentcnt{2}?><label>Table 2</label><caption><p id="d1e516">Instrument settings.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="3">
     <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:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Parameter</oasis:entry>
         <oasis:entry colname="col2">Value</oasis:entry>
         <oasis:entry colname="col3">Units</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">prof_mode</oasis:entry>
         <oasis:entry colname="col2">1</oasis:entry>
         <oasis:entry colname="col3">–</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">coord_sys</oasis:entry>
         <oasis:entry colname="col2">earth</oasis:entry>
         <oasis:entry colname="col3">–</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">orientation</oasis:entry>
         <oasis:entry colname="col2">down</oasis:entry>
         <oasis:entry colname="col3">–</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">beam_pattern</oasis:entry>
         <oasis:entry colname="col2">convex</oasis:entry>
         <oasis:entry colname="col3">–</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">pings_per_ensemble</oasis:entry>
         <oasis:entry colname="col2">1</oasis:entry>
         <oasis:entry colname="col3">–</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">blank</oasis:entry>
         <oasis:entry colname="col2">1</oasis:entry>
         <oasis:entry colname="col3">–</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">avg_method</oasis:entry>
         <oasis:entry colname="col2">time</oasis:entry>
         <oasis:entry colname="col3">–</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">avg_interval</oasis:entry>
         <oasis:entry colname="col2">1</oasis:entry>
         <oasis:entry colname="col3">s</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">magnetic_var</oasis:entry>
         <oasis:entry colname="col2">0</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M23" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">compass_offset</oasis:entry>
         <oasis:entry colname="col2">0</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M24" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">xducer_misalign</oasis:entry>
         <oasis:entry colname="col2">45</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M25" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">intens_scale</oasis:entry>
         <oasis:entry colname="col2">0.43</oasis:entry>
         <oasis:entry colname="col3">dB</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">absorption</oasis:entry>
         <oasis:entry colname="col2">0.382</oasis:entry>
         <oasis:entry colname="col3">dB m<inline-formula><mml:math id="M26" 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></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">salinity</oasis:entry>
         <oasis:entry colname="col2">28</oasis:entry>
         <oasis:entry colname="col3">–</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">use_pitchroll</oasis:entry>
         <oasis:entry colname="col2">yes</oasis:entry>
         <oasis:entry colname="col3">–</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">bin1_dist</oasis:entry>
         <oasis:entry colname="col2">1.52</oasis:entry>
         <oasis:entry colname="col3">m</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">xmit_pulse</oasis:entry>
         <oasis:entry colname="col2">0.5</oasis:entry>
         <oasis:entry colname="col3">m</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d1e786">The ADCP, GPS and directional data were combined and stored by an on-board
computer during the day and transmitted to a shore-based server when the
ferry was in port at night. Recorded variables included navigational
variables, water temperature, depth below the instrument for each beam, two
orthogonal horizontal and one vertical velocity component for each bin, and signal attenuation along each beam for each bin. The horizontal velocities
were converted to geo-referenced eastward and northward velocity components
using the navigational data following the correction method for heading and
tilt described by Joyce (1989); see also Buijsman and Ridderinkhof (2007).
Water-depth and bin-depth measurements were automatically corrected by the
instrument for variations in sound speed propagation using the
instrument-mounted temperature sensor and a user-specified salinity of 28.
Water depths were averaged over the four beams and corrected to depth below
surface using the draught of the ship. The data also include the spike
identification velocity (or “error velocity”) for each bin, which is a
measure of the variation in the result when velocity is computed using
different combinations of three of the four beams and is hence a measure
for the reliability of the observations.</p>
      <p id="d1e790">Typically, sailings started at 06:00, with an hourly outward-bound schedule
from Texel and return journeys starting on the half hour from Den Helder
(Fig. 1). Crossings typically took about 20 min. The last outward-bound sailing of the day started at 21:00,
resulting in 32 single crossings per day. The sailing schedule was adjusted
by the ferry operator in summer to account for daylight savings time. This
schedule was maintained on most days of the year, with the exception of
Christmas Day, New Year's Day, scheduled maintenance periods in January and
November, and occasional unscheduled maintenance or extreme weather events
(the latter typically occurs less than once a year). Occasionally,
instrument failure also led to reduced data return. From March 2009 to July
2016 the ADCPs were mounted on the <italic>Dokter Wagemaker</italic> and from July 2016 to
present on the <italic>Texelstroom</italic>. The setup on the <italic>Dokter Wagemaker</italic> was
configured similarly to that described above but with a single GPS midships
(Furuno SC110, <uri>https://www.furunousa.com/en/products/sc110</uri>, last access: 8 December 2022) and a single gyroscopic
compass included in the GPS.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><?xmltex \currentcnt{2}?><?xmltex \def\figurename{Figure}?><label>Figure 2</label><caption><p id="d1e807">Example of QA procedure, 7 April 2021, 06:00 departure, sailing
from Texel to Den Helder. <bold>(a)</bold> Original and <bold>(b)</bold> “good” and “probably good” data
for the front ADCP. Panels <bold>(c)</bold> and <bold>(d)</bold> show the same for the rear ADCP. Velocities in
m s<inline-formula><mml:math id="M27" 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>. The direction of view is in the eastward or flood direction.</p></caption>
          <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://os.copernicus.org/articles/18/1805/2022/os-18-1805-2022-f02.png"/>

        </fig>

</sec>
<sec id="Ch1.S2.SS2">
  <label>2.2</label><title>Data processing</title>
<sec id="Ch1.S2.SS2.SSS1">
  <label>2.2.1</label><title>Quality assessment</title>
      <p id="d1e855">Quality flags were added to the depth-resolved variables using a threshold
value for the spike identification velocity. For the values of the quality
assessment (QA) flags, we used designations defined by SeaDataNet (49 <inline-formula><mml:math id="M28" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> good value; 50 <inline-formula><mml:math id="M29" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> probably good value; 52 <inline-formula><mml:math id="M30" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> bad value;
<uri>https://www.seadatanet.org/Standards/Data-Quality-Control</uri>, last access: 8 December 2022). To define the threshold
values, we inspected transects recorded by the ADCP mounted on the rear of
the ship. Such records contain clearly visible anomalous velocities when the
ADCP signal is disturbed by the wake of the thrusters of the ship. Such
wake-affected velocities were adequately identified using a spike
identification velocity threshold of 0.15 m s<inline-formula><mml:math id="M31" 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> and nearly always for a
spike identification velocity threshold of 0.2 m s<inline-formula><mml:math id="M32" 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>. Hence, data points
corresponding to a spike identification velocity threshold of less than 0.15 m s<inline-formula><mml:math id="M33" 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> were flagged as “good value”, between 0.15 and 0.2 m s<inline-formula><mml:math id="M34" 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> as “probably good value”, and those greater than 0.2 m s<inline-formula><mml:math id="M35" 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> as “bad value”. As such disturbances in the observations tended to extend throughout
the water column, all bins in the vertical at locations with more than
30 % bad values were flagged as bad value. The same thresholds were
assumed to hold for the ADCP mounted on the front of the ship and seem
appropriate as it allows for errors of up to about 15 % of typical maximum
currents. This choice is, however, somewhat subjective, and other threshold
values could be set for different applications, e.g. when individual
transects are studied. In the remainder of this paper, both good values
and probably good values were included.</p>
</sec>
<sec id="Ch1.S2.SS2.SSS2">
  <label>2.2.2</label><title>Latitudinal gridding of each crossing</title>
      <p id="d1e951">Because of variations in the speed of the ferry, different crossings
resulted in varying amounts of data with a location-dependent data density.
Moreover, as the data from both front and rear ADCPs typically contain
QA-related gaps, not a single crossing resulted in continuous coverage of
the cross section. To obtain regular data, use the results of both ADCPs and obtain maximum coverage, each transect was subdivided into 100
equidistant latitudinal intervals of 42.74 m, while retaining the
longitudinal positions and vertical gridding. The data from both ADCPs were
collected in each resulting latitude–depth grid cell and averaged. For each
latitude–depth grid cell, a standard deviation was calculated to provide an
uncertainty estimate for the mean value of each grid cell. Water depths were
similarly averaged per latitudinal grid interval. These data were used to
calculate cross-sectionally aggregated averages and trends (Sect. 2.2.3). To calculate cross-sectionally resolved patterns
(Sect. 2.2.4), similar gridding was carried out but after first projecting each observed column of the curved transect onto
a straight central north–south transect subdivided into the same latitudinal
intervals. This projection was carried out by moving each column in the
opposite direction of the current measured at the surface until it met the
straight central transect. Resulting data on the central transect were
averaged for each latitudinal interval.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><?xmltex \currentcnt{3}?><?xmltex \def\figurename{Figure}?><label>Figure 3</label><caption><p id="d1e956">Example of spike detection velocity compared to QA thresholds; second bin below the vessel, 7 April 2021, 06:00 departure.</p></caption>
            <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://os.copernicus.org/articles/18/1805/2022/os-18-1805-2022-f03.png"/>

          </fig>

</sec>
<sec id="Ch1.S2.SS2.SSS3">
  <label>2.2.3</label><title>Time series and trends of cross-sectionally aggregated depths and flows</title>
      <p id="d1e973">Cross-sectionally averaged depths and eastward cross-sectionally integrated
volume fluxes were calculated for each latitudinally gridded crossing to
construct time series to analyse for decadal trends.</p>
      <p id="d1e976">Cross-sectionally averaged depths contain some variation related to
longitudinal position and associated seabed morphology (e.g. Buijsman and Ridderinkhof, 2008a, b), but these will only contribute to the uncertainty of
the trend estimates (see below) and not introduce a bias. Cross-sectionally
averaged depths were calculated by averaging over the latitudinal grid
intervals. Annual mean depth profiles along the cross section were also
plotted to illustrate the temporal changes.</p>
      <p id="d1e979">As the transects cover the entire cross section and both ends of the
transects have nearly identical longitudinal coordinates (resulting in only
a net north–south displacement of the ship for each crossing), eastward
cross-sectionally integrated volume fluxes represent the full volume flux
through the Marsdiep. Eastward cross-sectionally integrated volume fluxes
were calculated by multiplying the eastward flow velocities by the surface
area of each cross-sectional grid cell and then adding all cross-sectional
grid cells. To include an estimate of the volume flux between the water
surface and the first bin measured by the ADCP below the ferry, the value of
the first bin was first copied to equally sized bins covering that gap.</p>
      <p id="d1e982">Tidal harmonic analysis (Doodson, 1921) was applied to the time series as a
whole, estimating the amplitudes of the 21 main tidal constituents,
including nodal corrections, their Greenwich phase and the mean residual
component. The time series was also split up into yearly intervals, with
tidal harmonic analysis applied to each individual year. Buijsman and Ridderinkhof (2007) established that the largest 15 constituents represent
96 % of the tidal variance. Yearly intervals were used to enable the detection of trends in harmonic constituents and to facilitate comparison of the
yearly mean residual volume fluxes to earlier estimates. To obtain trends in
the residual cross-sectional depth changes and volume fluxes, the time
series as a whole were de-tided by subtracting a tidal time series
reconstructed from the harmonic analyses. Decadal trends were calculated for
the de-tided time series as the slope of a straight line estimated using a
least-squares fit. To estimate trends in the tidal harmonic constituents,
regression lines were fitted through the yearly amplitudes and phases. Here,
we only present and discuss variables with an estimated slope that exceeds
2 times the standard error of the fit (corresponding to a 95 %
confidence interval).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><?xmltex \currentcnt{4}?><?xmltex \def\figurename{Figure}?><label>Figure 4</label><caption><p id="d1e988">Example of transect based on latitudinally gridded, quality-assured data
from front and rear ADCP (Fig. 2b, d), 7 April
2021, 06:00 departure. <bold>(a)</bold> Resulting mean gridded eastward current speed; <bold>(b)</bold> number of data points per grid cell; <bold>(c)</bold> standard deviation per grid cell.
The direction of view is in the eastward or flood direction.</p></caption>
            <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://os.copernicus.org/articles/18/1805/2022/os-18-1805-2022-f04.png"/>

          </fig>

      <p id="d1e1006">To test the hypothesis (Ridderinkhof, 1988; Buijsman and Ridderinkhof,
2007; Duran-Matute et al., 2014) that the variations in residual flow are
mainly wind-driven, a scatter plot was constructed of the annual residual
transports as a function of the annual mean eastward wind-speed component
derived from the ECMWF ERA5 reanalysis (C3S, 2019).</p>
</sec>
<sec id="Ch1.S2.SS2.SSS4">
  <label>2.2.4</label><title>Cross-sectionally resolved temporal mean patterns and trends</title>
      <p id="d1e1017">To calculate cross-sectionally resolved temporal mean patterns and trends, the
latitudinally gridded data were first corrected for water-level changes such
as tides using the bed level of the first couple of latitudinal grid
intervals of the transect on the Texel side as a reference. Then, annual and
decadal means and trends were calculated for the residual velocity
components for each latitude–depth grid cell in the same way as for the
transports: by performing a harmonic analysis, de-tiding the time series and calculating a linear least-squares fit through the residuals. To present
the results, contour plots of the residual velocities and trends as well as
line graphs of the depth- and cross-sectionally averaged residual velocities
were constructed.</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Results</title>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>Example of quality assessment</title>
      <p id="d1e1037">As an example of the QA procedure, eastward velocities measured on the
transect sailed on 7 April 2021, 06:00 local time, are given
(Fig. 2). The left two panels show the
uncorrected eastward velocities for the front (a) and rear (c) ADCP, and the
panels on the right (b, d) the corresponding quality-assured velocities. In
Fig. 2c, the data affected by the ship's
propulsion system are clearly visible and were effectively removed in
Fig. 2d. The QA procedure also removed some data
from the front ADCP (Fig. 2b). To further
illustrate the procedure, the spike identification velocity for the second
ADCP bin of both instruments was plotted along the transect, including the
thresholds (Fig. 3).</p>
</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Example of latitudinal gridding</title>
      <p id="d1e1048">An illustration of the latitudinal gridding of the quality-assured data of both
ADCPs, combined for the same date and time shows a coherent profile without
data gaps (Fig. 4a). Despite strong variation in
the number of data points per grid cell (Fig. 4b)
due to a combination of changes in vessel speed and gaps in the quality-assured data
(Fig. 2), standard deviations showed no obvious
pattern over the cross section (Fig. 4c) (except
near the bottom as the two ADCPs, which are a ship's distance apart, may
follow slightly different trajectories and encounter different seabed
topography), suggesting uniform quality of the eastward current speeds
constructed in this way for the cross section.</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F5" specific-use="star"><?xmltex \currentcnt{5}?><?xmltex \def\figurename{Figure}?><label>Figure 5</label><caption><p id="d1e1053">Observed trends after applying harmonic analysis. <bold>(a)</bold> Annual
residual cross-sectionally averaged depth; trend line based on the de-tided
time series. <bold>(b)</bold> Annual residual cross-sectionally integrated eastward volume flux
including values reported earlier; trend line based on the de-tided time
series. <bold>(c)</bold> Annual O1 lunar diurnal constituent amplitude of cross-sectionally integrated eastward volume
flux; trend line based on the annual amplitudes.</p></caption>
          <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://os.copernicus.org/articles/18/1805/2022/os-18-1805-2022-f05.png"/>

        </fig>

      <?xmltex \floatpos{p}?><fig id="Ch1.F6" specific-use="star"><?xmltex \currentcnt{6}?><?xmltex \def\figurename{Figure}?><label>Figure 6</label><caption><p id="d1e1073"><bold>(a)</bold> Annual averaged depths along the transect and <bold>(b)</bold> the annual
depth anomaly with respect to the 13-year mean.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://os.copernicus.org/articles/18/1805/2022/os-18-1805-2022-f06.png"/>

        </fig>

</sec>
<sec id="Ch1.S3.SS3">
  <label>3.3</label><title>Time series of cross-sectionally aggregated averages and trends</title>
      <p id="d1e1095">Time series of cross-sectionally averaged depth (Fig. 5a) showed an average of 18.4 m and a shoaling trend of 1.88 cm yr<inline-formula><mml:math id="M36" 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>
with a standard error of 0.04 cm yr<inline-formula><mml:math id="M37" 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>. Similarly, the cross-sectionally
integrated volume flux (Fig. 5b) showed an
average outflow that changed from around 1000 m<inline-formula><mml:math id="M38" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M39" 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> in 2009 to
around 0 in recent years, with a reducing trend of 98 m<inline-formula><mml:math id="M40" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M41" 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> yr<inline-formula><mml:math id="M42" 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> and a standard error of 13 m<inline-formula><mml:math id="M43" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M44" 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> yr<inline-formula><mml:math id="M45" 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>, which continued compared with values reported for earlier years. Most notably, the
volume flux has been transitioning to positive values (net inflow) in recent
years. Finally, the amplitude of the O1 tidal constituent of the volume flux
(Fig. 5c) more than doubled in the period
considered, with a trend of 249 m<inline-formula><mml:math id="M46" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M47" 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> yr<inline-formula><mml:math id="M48" 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> and a standard
error of 68 m<inline-formula><mml:math id="M49" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M50" 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> yr<inline-formula><mml:math id="M51" 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>. This was the only tidal
constituent in the ADCP data with a consistent trend exceeding 2 times the
standard error.</p>
      <p id="d1e1277">Plotting the annual residual eastward volume fluxes as a function of the
annual mean eastward wind-speed component did not suggest an evident
correlation (not shown).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><?xmltex \currentcnt{7}?><?xmltex \def\figurename{Figure}?><label>Figure 7</label><caption><p id="d1e1282">Long-term mean horizontal velocities in the east <bold>(a)</bold> and north <bold>(b)</bold> direction and their respective trends <bold>(c, d)</bold>. In <bold>(a)</bold> red indicates an
inflow (flood). Levels near the surface subject to vertical tidal changes
were excluded. The direction of view is in the eastward or flood direction.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://os.copernicus.org/articles/18/1805/2022/os-18-1805-2022-f07.png"/>

        </fig>

      <p id="d1e1304">The annually averaged depths along the transect
(Fig. 6) revealed the infilling of a substantial
depression in the southern flank of the inlet around 52.975<inline-formula><mml:math id="M52" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N as well as an
increase in the maximum depth along the transect between 52.990<inline-formula><mml:math id="M53" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N and 52.985<inline-formula><mml:math id="M54" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N but no major changes in the cross-sectional geometry. The apparent shift
in the flank of the channel near Texel after 2017 coincides with the
change-over of the instrumentation from the <italic>Dokter Wagemaker</italic> to the
<italic>Texelstroom</italic>, and is likely an artefact, potentially related to a slight
change in approach route related to differences in the handling of the ships,
which differ considerably in size. Note that the profile of 2009 is less
reliable than the others as only data from the later part of the year were
available.</p>
</sec>
<sec id="Ch1.S3.SS4">
  <label>3.4</label><title>Cross-sectionally resolved temporal mean patterns and trends</title>
      <p id="d1e1348">The 13-year residual eastward velocities showed outflow in the northern part
of the inlet, with the highest values close to the coast of Texel in the upper
part of the water column and inflow in the southern part of the inlet, with
higher values in the lower part of the water column
(Fig. 7a). Both inflow and outflow appear to
consist of two kernels. The trends in the residual eastward velocity show a
vertically banded structure of alternating increases and decreases, with the
strongest band in the southern part of the inlet
(Fig. 7c). A striking feature was a strongly
negative trend near the bottom in the southern part of the inlet, likely
related to the local shoaling (Fig. 6). Standard
errors of the trend estimates were small, except near the surface and the
bottom, where it increased to 0.002 m s<inline-formula><mml:math id="M55" 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>yr<inline-formula><mml:math id="M56" 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> due to the
fluctuating water levels and where local variations in depth associated with
individual transects and morphodynamic changes affect the estimates. As a
result, the near-surface and near-bottom trend estimates have a high level
of uncertainty.</p>
      <p id="d1e1375">The northward velocities were positive near the surface in the southern part
of the inlet and near the bottom in the northern part of the inlet
(Fig. 7b). They were negative elsewhere, with the weakest negative values in the central part of the inlet. This pattern
suggests a double gyre in the plane of the transect, but this could not be
confirmed as the vertical velocities recorded by the ADCPs were affected by
the flow induced by the forward motion of the ship. The trends in the
northward velocity reflected the vertically banded structure of the trends
in the eastward velocities but also indicated a weakening of both the
positive and negative residual velocities, suggesting a weakening of the
suspected double-gyre pattern (Fig. 7d). The
standard errors of the trend estimates were similar to those of the eastward
velocity.</p>
      <p id="d1e1378">Depth- and cross-section averages of the residual eastward velocities
provide another way of presenting the main patterns and also allow for a
depiction of the interannual variations. The depth averages of the 13-year
residuals again showed the outflow in the northern part and the inflow in
the southern part (Fig. 8a, thick black line).
The individual years clustered relatively close to this line, with the
largest variations near the maximum residual inflow in the southern part of
the inlet. The cross-sectionally averaged values of the 13-year residual
eastward velocity showed outflow in the top 10 m of the water column and
inflow in the 15 m below that (Fig. 8b, thick
black line), suggesting a component of estuarine circulation to the flow.
Interannual variations were largest for the outflow velocities.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><?xmltex \currentcnt{8}?><?xmltex \def\figurename{Figure}?><label>Figure 8</label><caption><p id="d1e1384"><bold>(a)</bold> Depth-averaged eastward residual velocities along the transect and <bold>(b)</bold> cross-sectionally averaged eastward residual velocities as a function of
depth for each year and for the whole time series.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://os.copernicus.org/articles/18/1805/2022/os-18-1805-2022-f08.png"/>

        </fig>

</sec>
</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <label>4</label><title>Discussion and conclusions</title>
<sec id="Ch1.S4.SS1">
  <label>4.1</label><title>Cross-sectionally resolved residual flow patterns and trends</title>
      <p id="d1e1414">The overall cross-sectional pattern of inflow in the southern part of the
inlet and outflow in the northern part of the inlet, with a weak estuarine
circulation component in the vertical corresponds with the results of
earlier investigations (Zimmerman, 1976a, b; Ridderinkhof, 1988; Buijsman and Ridderinkhof, 2007). Huijts et al. (2009) used a semi-analytical model
of a schematised curved tidal channel to investigate the cross-sectional
patterns of residual flows in the stream-wise and cross-channel directions
caused by tidal rectification, along-channel density gradients,
along-channel winds and river discharge. Their pattern for streamwise
residual flow induced by tidal rectification corresponds well with the
pattern of eastward residual flow in the Marsdiep, including the double
inflow–outflow kernels, which only occur for the tidal rectification
component. Their pattern for cross-channel residual flow by tidal
rectification shows a double-gyre pattern like that of the northward
residual currents in the Marsdiep but with reversed direction. The causes
of this difference are not immediately clear, but the geometry of the
Marsdiep (Fig. 1) is much more complex than the schematised curved channel in the
model of Huijts et al. (2009): (i) the
main channel is not aligned with the coasts and the angle is different at
either side; (ii) just seaward of the transect, the main channel curves in
the other direction, and on the basin side the main channel is more or less
straight. Moreover, the ferry transect slants across the main channel at a
fairly large angle, the exact value of which is difficult to estimate
because of these changes in curvature. The direction of the gyre pattern
corresponds with that observed by Nunes and Simpson (1985) during the flood
phase of the tide in an estuary in Wales (UK) and explained by strong
friction with the sides of the channel. Cui et al. (2018) also observed this
pattern in an estuary in the Gulf of Mexico, where they also
observed the reverse pattern during the ebb phase. So it is possible that,
in a flood-dominant estuary like the Marsdiep, the flood-phase pattern is
expressed in the long-term mean as we see in the observations presented
here. As Huijts et al. (2009) used a purely sinusoidal tide superimposed on
a river runoff, effectively creating ebb dominance in terms of residual flow
and peak velocities in their model, this reasoning may explain the
discrepancy if this effect dominates over the influence of geometric
differences. Hence, the correspondence of the observed eastward residual
flow pattern with the modelled streamwise residual flow pattern induced by
tidal rectification is a strong indication that this mechanism is dominant
in shaping the cross-sectional residual flow patterns in the Marsdiep.</p>
      <p id="d1e1417">The trends in the cross-sectional residual flow pattern suggest a slight
intensification of both the outflow in the northern part of the inlet and of
the inflow in the southern part of the inlet, in particular in later years,
with the inflow increasing more than the outflow. There was also a weakening
of the double-gyre pattern in the cross section. Moreover, there were slight
latitudinal shifts in the double-kernel pattern, but these do not seem to
have a systematic direction. There was also a local response to the
infilling of a depression at 52.975<inline-formula><mml:math id="M57" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N. These trends suggest changes in the
tidal rectification and frictional processes, possibly related to
larger-scale morphodynamic changes such as the ongoing infilling, sea-level
rise, and channel migration in the Wadden Sea and in the ebb-tidal delta
(Wang et al., 2012; Elias et al., 2012). Slight changes in tides may also be
involved, as is suggested by the observed trends in O1 currents and flows.
These could be related to bathymetric changes (Benninghoff and Winter,
2019; Jacob and Stanev, 2021; Colina Alonso et al., 2021) and/or sea-level
rise (Wachler et al, 2020) that may alter the resonance characteristics of
the basin. Larger-scale changes in tides in the North Sea likely also play a
role: these resulted in small increases in tidal range near the Marsdiep
from 2010–2015 but also in differences in trends in tidal range between the
Marsdiep and the Vlie inlets between 1958 and 2014 (Jänicke et al.,
2021). Jänicke et al. (2021) identify two components driving the changes
in tides in the North Sea: a large-scale barotropic component that involves
the north Atlantic Ocean and a regional baroclinic component that relates
to stronger stratification in the southern North Sea. It is not clear why
the O1 component of the flow changes significantly, while the ADCP data could
not detect significant changes in other constituents. Tide gauge data most
likely offer a more accurate way to analyse trends in tides in the study
area than the ADCP data analysed here as they are more accurate, have higher
sampling frequency, measure continuously and cover a wider area. However,
such a study is beyond the scope of this paper.</p>
</sec>
<sec id="Ch1.S4.SS2">
  <label>4.2</label><title>Trends in cross-sectionally aggregated residual flows</title>
      <p id="d1e1437">We found a significant trend in the cross-sectionally aggregated residual flow
in the Marsdiep tidal inlet, suggesting an imminent reversal from net
outflow to net inflow. Four processes can contribute to such changes:
changes in wind climate, changes in freshwater input, morphodynamic
changes and changes in tidal forcing.</p>
      <p id="d1e1440">We established that wind forcing, suggested in earlier studies to influence
residual flows (Buijsman and Ridderinkhof, 2007; Duran-Matute et al.,
2014), is not correlated to the trend observed in the ADCP data. Hence, even
though wind and storms may affect the flow on timescales of days to weeks,
we do not think that this process is primarily responsible for the observed
reduction in residual flow on interannual timescales.</p>
      <p id="d1e1443">Discharge of fresh water into the western Wadden Sea was estimated to be 450 m<inline-formula><mml:math id="M58" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M59" 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> on average (Ridderinkhof, 1990), much less than the historic
residual outflow (Table 1). Also, freshwater discharge cannot reverse in direction. Thus, this process is not
primarily responsible for the observed reduction in residual flow either.</p>
      <p id="d1e1467">Because the western Wadden Sea has reached near-equilibrium following the
construction of the closure dam (Elias et al., 2012.), ongoing
morphodynamic changes within the western Wadden Sea are likely dominated by
relatively local, internal dynamics. Hence, it seems unlikely that the
current morphodynamic processes are the main driver for the changes in
residual flow. However, further work would be needed to confirm this.</p>
      <p id="d1e1471">Ridderinkhof (1988) showed that the outflow at that time was related to a
residual circulation entering through the Vlie inlet and driven by
differences in amplitudes and phases of the tides between the two inlets.
Hence, we hypothesise that the main process driving the trend in residual
flows is the baroclinically derived change in the difference in tides
between the Marsdiep and Vlie inlets caused by climate change identified by
Jänicke et al. (2021). As a result, with warming trends expected to
continue, we expect a permanent reversal of the residual flow followed by a
strengthening net inflow to occur in the next decade(s). Similar changes may
happen in other multiple inlet systems bordering temperature-stratified
seas elsewhere in the world.</p>
</sec>
<sec id="Ch1.S4.SS3">
  <label>4.3</label><title>Potential consequences of a reversal in residual flow</title>
      <p id="d1e1482">The reversal of the residual flow in the Marsdiep will be linked with a reversal
and potential changes in the residual flow patterns in the western Wadden
Sea. This may influence physical factors such as temperature and salinity
distributions and may also increase the import of fine suspended sediment
through the Marsdiep inlet, while reducing that through the Vlie inlet.
Moreover, it may change pathways of nutrient supply and transport of passive
propagules (eggs and early stage larvae of marine organisms). Such changes
may cascade up through the Wadden Sea ecosystem, that is already influenced
by anthropogenic pressures and more direct effects of climate change.
However, as the residual flows are much smaller than the tidal flows and
even heterogeneous within the Marsdiep inlet itself, it is not possible to
infer such effects from this study and further work is needed.</p>
</sec>
<sec id="Ch1.S4.SS4">
  <label>4.4</label><title>Suggestions for further research</title>
      <p id="d1e1493">Further work is needed to fully understand the causes, significance and
effects of the reversal of the residual flow in this multi-inlet tidal
embayment. Next steps could include detailed analysis of the local tide
gauge data to refine our understanding of the driving forces, model projections
of climate-driven trends in North Sea tides, model studies detailing the
processes driving the residual circulation in the Wadden Sea and projecting
future changes as well as implications for the regional sediment budget, and
model studies projecting changes in the ecosystem in response. Existing
observations of ecosystem variables and components should be examined, and
wider observational campaigns could be initiated to gain further
understanding, underpin models and observe predicted effects.</p>
</sec>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability"><title>Data availability</title>

      <p id="d1e1502">The TESO ADCP data are available on request.</p>
  </notes><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e1508">JvdM designed the study, processed the data, carried out the analysis and
interpretation, and wrote the paper. LRMM and SG contributed to several
revisions.</p>
  </notes><?xmltex \hack{\newpage}?><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e1515">The contact author has declared that none of the authors has any competing interests.</p>
  </notes><notes notes-type="disclaimer"><title>Disclaimer</title>

      <p id="d1e1521">Publisher’s note: Copernicus Publications remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e1527">Many people contributed to collecting the TESO ADCP time series data, a
collaborative effort of the Royal Netherlands Institute for Sea Research
(NIOZ) and the Royal TESO N.V. ferry company for more than 2 decades, and
we want to extend our thanks to them, although not all can be named. Herman Ridderinkhof initiated the observations. Frans Eijgenraam and Eric Wagemaakers developed, installed and maintained the adaptations to the
ferries, the instrumentation and the software. Numerous MSc students, PhD
students and postdocs have worked on the data, and some of their papers are
referenced here. In recent years, Erin Lejeune and Mariana de Botton, both
funded through Utrecht University–NIOZ work experience placements, worked
on modernising the automated data postprocessing that made this paper
possible.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e1532">This research has been supported in part by Utrecht University.</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e1538">This paper was edited by Markus Meier and reviewed by Zheng Bing Wang and Johannes Becherer.</p>
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