<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing with OASIS Tables v3.0 20080202//EN" "https://jats.nlm.nih.gov/nlm-dtd/publishing/3.0/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 \citationbyarticlenumber\articlenumber{13}?><?xmltex \bartext{Chapter 4.1 -- 7th edition of the Copernicus Ocean State Report (OSR7)}?>
  <front>
    <journal-meta><journal-id journal-id-type="publisher">SP</journal-id><journal-title-group>
    <journal-title>State of the Planet</journal-title>
    <abbrev-journal-title abbrev-type="publisher">SP</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">State Planet</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">2752-0706</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/sp-1-osr7-13-2023</article-id><title-group><article-title>Unusual coccolithophore blooms in Scottish waters</article-title><alt-title>Coccolithophore blooms</alt-title>
      </title-group><?xmltex \runningtitle{Coccolithophore blooms}?><?xmltex \runningauthor{R. Renshaw et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Renshaw</surname><given-names>Richard</given-names></name>
          <email>richard.renshaw@metoffice.gov.uk</email>
        <ext-link>https://orcid.org/0000-0003-3227-4009</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Bresnan</surname><given-names>Eileen</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff3">
          <name><surname>Kay</surname><given-names>Susan</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>McEwan</surname><given-names>Robert</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Miller</surname><given-names>Peter I.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Tett</surname><given-names>Paul</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Hadley Centre, Met Office, FitzRoy Road, Exeter EX1 3PB, UK</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Marine Scotland Marine Laboratory, 375 Victoria Rd, Aberdeen AB11 9DB, UK</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Plymouth Marine Laboratory, Prospect Place, Plymouth PL1 3DH, UK</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Cefas, Barrack Rd, Weymouth DT4 8UB, UK</institution>
        </aff>
        <aff id="aff5"><label>5</label><institution>Scottish Association for Marine Science, Oban, Argyll PA37 1QA, UK</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Richard Renshaw (richard.renshaw@metoffice.gov.uk)</corresp></author-notes><pub-date><day>27</day><month>September</month><year>2023</year></pub-date>
      
      <volume>1-osr7</volume>
      <elocation-id>13</elocation-id>
      <history>
        <date date-type="received"><day>22</day><month>August</month><year>2022</year></date>
           <date date-type="rev-request"><day>30</day><month>September</month><year>2022</year></date>
           <date date-type="rev-recd"><day>19</day><month>April</month><year>2023</year></date>
           <date date-type="accepted"><day>2</day><month>May</month><year>2023</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2023 </copyright-statement>
        <copyright-year>2023</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://sp.copernicus.org/articles/.html">This article is available from https://sp.copernicus.org/articles/.html</self-uri><self-uri xlink:href="https://sp.copernicus.org/articles/.pdf">The full text article is available as a PDF file from https://sp.copernicus.org/articles/.pdf</self-uri>
      <abstract><title>Abstract</title>

      <p id="d1e156">Two unusual blooms were observed in Scottish waters during summer 2021:
one in the Clyde Sea and the other by the
east coast of the Shetland Islands. Both had the appearance of
coccolithophore blooms. Transmission electron microscopy of a sample from the Clyde Sea
confirmed the presence there of the coccolithophore <italic>Emiliania huxleyi</italic>.
We examine the conditions that led to these unusual blooms.
In situ data are scarce, and so we draw inference from satellite data and reanalysis.
For Shetland, the bloom can be seen to originate further north
on the edge of the continental shelf. It is advected south and then west
towards the Shetland coast by surface currents.
For the Clyde Sea region, April 2021 was the coldest April of the last 30 years
(National Climate Information Centre).
We hypothesise that this cold weather restricted the usual spring bloom of diatoms.
A restricted spring bloom would mean higher-than-usual concentrations of
nutrients in the summer. It might also mean reduced numbers of grazers.
These factors would provide ideal conditions for coccolithophores to
flourish as temperatures and sunlight increase.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<?xmltex \floatpos{h!}?><table-wrap id="Ch1.T1" specific-use="star"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e167">CMEMS and non-CMEMS products used in this study.</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="justify" colwidth="140pt"/>
     <oasis:colspec colnum="3" colname="col3" align="justify" colwidth="120pt"/>
     <oasis:colspec colnum="4" colname="col4" align="justify" colwidth="120pt"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">Product</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">Data</oasis:entry>
         <oasis:entry colname="col4"/>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">ref. no.</oasis:entry>
         <oasis:entry colname="col2">Product ID and type</oasis:entry>
         <oasis:entry colname="col3">access</oasis:entry>
         <oasis:entry colname="col4">Documentation</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">1</oasis:entry>
         <oasis:entry colname="col2">NWSHELF_MULTIYEAR_PHY<?xmltex \hack{\hfill\break}?>_004_009<?xmltex \hack{\hfill\break}?>(1993–2022), numerical models</oasis:entry>
         <oasis:entry colname="col3">
                  <xref ref-type="bibr" rid="bib1.bibx15" id="text.1"/>
                </oasis:entry>
         <oasis:entry colname="col4">Quality Information Document<?xmltex \hack{\hfill\break}?>(QUID): <xref ref-type="bibr" rid="bib1.bibx41" id="text.2"/>;<?xmltex \hack{\hfill\break}?>Product User Manual (PUM): <?xmltex \hack{\hfill\break}?> <xref ref-type="bibr" rid="bib1.bibx50" id="text.3"/></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">2</oasis:entry>
         <oasis:entry colname="col2">OCEANCOLOUR_ATL_BGC_L3<?xmltex \hack{\hfill\break}?>_MY_OBSERVATIONS_009_013<?xmltex \hack{\hfill\break}?>(1998–2021), satellite observations</oasis:entry>
         <oasis:entry colname="col3">
                  <xref ref-type="bibr" rid="bib1.bibx17" id="text.4"/>
                </oasis:entry>
         <oasis:entry colname="col4">QUID: <xref ref-type="bibr" rid="bib1.bibx22" id="text.5"/>;<?xmltex \hack{\hfill\break}?>PUM: <xref ref-type="bibr" rid="bib1.bibx9" id="text.6"/></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">3</oasis:entry>
         <oasis:entry colname="col2">SST_ATL_SST_L4_REP<?xmltex \hack{\hfill\break}?>_OBSERVATIONS_010_026<?xmltex \hack{\hfill\break}?>(1998–2021), satellite observations</oasis:entry>
         <oasis:entry colname="col3">
                  <xref ref-type="bibr" rid="bib1.bibx16" id="text.7"/>
                </oasis:entry>
         <oasis:entry colname="col4">QUID: <xref ref-type="bibr" rid="bib1.bibx1" id="text.8"/>;<?xmltex \hack{\hfill\break}?>PUM: <xref ref-type="bibr" rid="bib1.bibx2" id="text.9"/></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">4</oasis:entry>
         <oasis:entry colname="col2">ERA5 atmospheric reanalysis<?xmltex \hack{\hfill\break}?>(1979–2022)</oasis:entry>
         <oasis:entry colname="col3"><xref ref-type="bibr" rid="bib1.bibx10" id="text.10"/> (2023)</oasis:entry>
         <oasis:entry colname="col4">
                  <xref ref-type="bibr" rid="bib1.bibx24" id="text.11"/>
                </oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><?xmltex \gdef\@currentlabel{1}?></table-wrap>

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e338">Coccolithophores belong to a diverse group of phytoplankters (class
Prymnesiophyceae) that is widespread in the oceans. The ecological group
that includes <italic>Emiliana</italic> is particularly abundant in upwelling and temperate
sub-polar regions <xref ref-type="bibr" rid="bib1.bibx3" id="paren.12"/>. Most coccolithophores are not
themselves harmful or toxic, but they are of ecological importance, particularly
for carbon cycling and sequestration <xref ref-type="bibr" rid="bib1.bibx45" id="paren.13"/>. They typically
produce an exoskeleton consisting of several calcium carbonate plates called
coccoliths <xref ref-type="bibr" rid="bib1.bibx59" id="paren.14"/>. These coccoliths are not opaque (phytoplankton
require light for photosynthesis), but they scatter and polarise light.
Coccolith shedding occurs during the later stages of the bloom life cycle, when
the cells are threatened, for example by pathogen pressure <xref ref-type="bibr" rid="bib1.bibx20" id="paren.15"/>.
During this stage, the coccoliths are shed and accumulate in the surrounding water.
The visual effect is to turn the sea a milky turquoise colour, visible to the
human eye and in satellite imagery.</p>
      <p id="d1e356">The function of the coccoliths is unclear. They are believed to be protective,
either against grazing, against viral or bacterial attack, or as a refractor of
light that acts as a sunshade in excessively bright conditions <xref ref-type="bibr" rid="bib1.bibx37" id="paren.16"/>.
<xref ref-type="bibr" rid="bib1.bibx26" id="text.17"/> show that coccoliths initially provide some protection from viral
attack but once shed can mediate such attacks.
<xref ref-type="bibr" rid="bib1.bibx38" id="text.18"/> suggests that coccolith production may have evolved
originally as an efficient mechanism for intracellular <inline-formula><mml:math id="M1" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="normal">Ca</mml:mi><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> detoxification at a
time of elevated seawater <inline-formula><mml:math id="M2" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="normal">Ca</mml:mi><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> concentrations (e.g. during the Cretaceous and
Jurassic periods).</p>
      <?pagebreak page2?><p id="d1e396">Summer 2021 saw milky, turquoise-coloured waters caused by algal blooms in two
locations off Scotland, in the Clyde Sea on the west coast and also to the
east of the Shetland Islands (Fig. <xref ref-type="fig" rid="Ch1.F1"/>). These blooms were visually striking
and so unusual that they were reported in the news (e.g. <xref ref-type="bibr" rid="bib1.bibx6" id="altparen.19"/>).
Transmission-electron-microscope analysis of a water sample from the Clyde Sea
(Fig. <xref ref-type="fig" rid="Ch1.F1"/>d) confirmed the algae to be a morphotype of coccolithophore,
<italic>Emiliania huxleyi</italic> (morphotype B).
Blooms of this organism are common in spring and early summer in the North
Atlantic and occur in some years in the northern North Sea and the western
English Channel. However, such striking occurrences have not been reported
from the Clyde Sea for many years. Colleagues of one of the authors (PT)
recall no such event since 1983, when they remember sampling turquoise waters and
coccolithophores in sea lochs of the Firth of Clyde.
In this paper we use observations and reanalysis data to look for unusual
environmental conditions in 2021 that might have allowed these blooms to thrive.</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="d1e412"><bold>(a)</bold> Sentinel-2 MSI image of Clyde Sea on 21 June 2021 at 11:35 UTC, true colour
with enhanced contrast. Processed by the Natural Environment Research Council Earth Observation Data Acquisition and Analysis Service (NEODAAS) using ACOLITE atmospheric correction.
<bold>(b)</bold> Sentinel-2 MSI image of Shetland Islands on 1 July 2021, processed by ESA (<ext-link xlink:href="https://www.esa.int/ESA_Multimedia/Images/2021/11/Shetland_Islands">https://www.esa.int/ESA_Multimedia/Images</ext-link>, last access: 30 May 2023).
<bold>(c)</bold> Bathymetry map with locations of <bold>(a)</bold> and <bold>(b)</bold> marked in red. Shelf edge is
visible as transition from light blue (less than 200 <inline-formula><mml:math id="M3" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> depth) to dark
blue (deep water).
<bold>(d)</bold> Scanning electron micrograph of sample from the Clyde Sea, June 2021, identified as
<italic>E. huxleyi</italic>, morphotype B. Credit: Eileen Bresnan (Marine Scotland Science).</p></caption>
        <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://sp.copernicus.org/articles/1-osr7/13/2023/sp-1-osr7-13-2023-f01.jpg"/>

      </fig>

</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Data</title>
<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>Ocean colour</title>
      <p id="d1e468">Ocean colour (OC) instruments measure water-leaving radiation at various wavelengths in the
visible and near-infrared spectrum.
Satellite measurements of ocean colour are used here in two forms. One is imagery.
The enhanced colour maps from Sentinel-3 OLCI (Ocean and Land Colour Imager) and Sentinel-2 MSI (Multi-Spectral Imager) in Fig. <xref ref-type="fig" rid="Ch1.F2"/>
provide visual indications of algal blooms.
The other is observation products,
point estimates of near-surface chlorophyll concentration derived from multiple sensors.
The CMEMS (Copernicus Marine Environment Monitoring Service) product used here (product ref. no. 2, Table <xref ref-type="table" rid="Ch1.T1"/>) estimates chlorophyll
concentration for several distinct phytoplankton functional types, including
diatoms and nanophytoplankton.
The nanophytoplankton category includes <italic>E. huxleyi</italic>.</p>
      <p id="d1e478">Several factors make chlorophyll estimation difficult for coastal waters.
<xref ref-type="bibr" rid="bib1.bibx5" id="text.20"/> find that dissolved organic matter (DOM) from fresh water
is usually the largest optically active constituent in the Clyde Sea.
Ocean colour algorithms
are designed to minimise errors due to suspended sediment and DOM.
The presence of large numbers of coccoliths would also have a strong impact
on backscattered radiation <xref ref-type="bibr" rid="bib1.bibx53" id="paren.21"/>.
The estimation process does mask for cloud,
sun glint, and coccoliths <xref ref-type="bibr" rid="bib1.bibx39" id="paren.22"/>.
This masking means there are few OC chlorophyll estimates available for the Clyde Sea
during the period of the Clyde bloom (12 June to 7 July 2021).
We use the OC product in Fig. <xref ref-type="fig" rid="Ch1.F5"/> not as a measure of absolute value
but to show the timing of growth and also how values in 2021 compare to other years.</p>
</sec>
<sec id="Ch1.S2.SS2">
  <label>2.2</label><title>North West Shelf reanalysis</title>
      <p id="d1e500">The North West Shelf (NWS) reanalysis (product ref. no. 1, Table <xref ref-type="table" rid="Ch1.T1"/>) is based on the physical ocean model
NEMO <xref ref-type="bibr" rid="bib1.bibx31" id="paren.23"/> at 7 <inline-formula><mml:math id="M4" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula> horizontal resolution and 51 vertical levels, with
tides represented, over a domain that encompasses the North West Shelf <xref ref-type="bibr" rid="bib1.bibx41" id="paren.24"/>.
Atmospheric forcing is from the ERA5 atmospheric reanalysis <xref ref-type="bibr" rid="bib1.bibx24" id="paren.25"/>.
River discharge volumes for the year 2018 onwards come from a daily climatology.
The reanalysis uses NEMOVAR <xref ref-type="bibr" rid="bib1.bibx36" id="paren.26"/> to assimilate observations of
physical variables (satellite sea surface temperature, SST, as well as in situ temperature and salinity profiles;
<xref ref-type="bibr" rid="bib1.bibx54" id="altparen.27"/>).</p>
      <?pagebreak page3?><p id="d1e529">Here we use the reanalysis for sea surface temperature and also for near-surface
currents in the region of the European Slope Current.
Reanalysis SST is strongly constrained by high-quality satellite observations.
Variations in surface currents are driven predominantly by surface winds <xref ref-type="bibr" rid="bib1.bibx44" id="paren.28"/>, provided here by ERA5.
The slope current itself is forced also by meridional density gradient and steep
bathymetry <xref ref-type="bibr" rid="bib1.bibx32" id="paren.29"/>. Validation of the reanalysis shows that it does produce
a realistic slope current <xref ref-type="bibr" rid="bib1.bibx41" id="paren.30"/>.</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="d1e543">Enhanced ocean colour satellite imagery (provided by PML)
from the Sentinel-3 OCLI and Sentinel-2 MSI instruments for 12 and 19 June 2021 and 2 and
7 July 2021. The brightest pixels are indicative of high numbers of coccoliths.
Land and cloud are coloured black.</p></caption>
          <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://sp.copernicus.org/articles/1-osr7/13/2023/sp-1-osr7-13-2023-f02.jpg"/>

        </fig>

</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Shetland bloom</title>
      <p id="d1e562">Figure <xref ref-type="fig" rid="Ch1.F1"/> shows a bloom on the eastern side of Shetland.
There is no information on the species present, but the brightness and
turquoise colour of the bloom suggest coccolithophores.
Coccolithophore blooms in the North Sea are not unusual.
An unusual feature of the 2021 bloom was that it came so close inshore.
Examination of imagery for the years 2017 to 2020 from Plymouth Marine Laboratory (PML)
(described in <xref ref-type="bibr" rid="bib1.bibx25" id="altparen.31"/>)
and of a dataset of coccolithophore blooms for 1998 to 2016 in <xref ref-type="bibr" rid="bib1.bibx29" id="text.32"/>
finds no other examples where blooms intrude among the islands and bays on the
eastern side of Shetland.</p>
      <p id="d1e573"><?xmltex \hack{\newpage}?><xref ref-type="bibr" rid="bib1.bibx29" id="text.33"/> show that often blooms develop further south and east in
the North Sea in spring or early summer and are advected by an
anti-clockwise circulation sometimes reaching as far north as Shetland.
Sometimes a bloom originates in the north, along the northern edge of the
continental shelf, and is advected southwards.
Bathymetry in Fig. <xref ref-type="fig" rid="Ch1.F1"/>c shows the location of this shelf edge.
The European Slope Current flows eastward along this edge,
bringing North Atlantic water into the Norwegian Sea. Some of this water flows
south past Shetland into the North Sea.
Imagery for July 2021 (Fig. <xref ref-type="fig" rid="Ch1.F2"/>c, d) seems to show
the bloom is of the latter kind, originating along the northern edge of the shelf.</p>
      <p id="d1e583">To confirm the bloom's origins and to understand why 2021 was unusual,
we used the <italic>OceanParcels</italic> software package <xref ref-type="bibr" rid="bib1.bibx12" id="paren.34"/> to simulate
the trajectory of virtual particles in the ocean.
Particles were initially positioned at 1 <inline-formula><mml:math id="M5" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> depth along the slope current (Fig.<?pagebreak page4?> <xref ref-type="fig" rid="Ch1.F3"/>).
These locations were chosen based on where the speed of the current
(from a reanalysis mean climatology for 1993 to 2021) exceeded
0.2 <inline-formula><mml:math id="M6" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>.
<italic>OceanParcels</italic> modelled 3D movement of the particles, advected by daily
mean currents from the NWS reanalysis (product ref. no. 1, Table <xref ref-type="table" rid="Ch1.T1"/>) and using a 3 h time step.
This was done separately for each year from 1998–2022, starting with particles in initial
positions on 3 April and running forward 3 months to predict positions on 3 July
(Fig. <xref ref-type="fig" rid="Ch1.F3"/>).</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="d1e630">Top plot shows 3 April starting positions for particles positioned along the European Slope Current.
The area around Shetland is marked with a grey line.
Other plots show particle positions in this area advected forward 3 months,
using reanalysis surface currents for each year from 1998–2022.
Particles are coloured according to longitude of starting position.</p></caption>
        <?xmltex \igopts{height=483.69685pt}?><graphic xlink:href="https://sp.copernicus.org/articles/1-osr7/13/2023/sp-1-osr7-13-2023-f03.png"/>

      </fig>

      <p id="d1e639">In some years nearly all the particles move off beyond the edge of the plots (1999, 2002, 2003, 2009, 2022).
In most years all the red particles (those initially at the eastern end of the slope current)
disappear in this way.
In 2021 it is these red particles that end up close to the eastern side of Shetland on 3 July.
The year 2021 was unusual, although not unique, in that easterly winds during spring
drove surface currents that pushed particles westward for part of that time.
Figure <xref ref-type="fig" rid="Ch1.F4"/> shows 10 <inline-formula><mml:math id="M7" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> winds (from ERA5) and surface currents
(from NWS reanalysis) for May 2021 and for a May climatology.
To the east and north of Shetland,
climatological winds are westerly, and the surface current is westerly or northerly.
For May 2021, winds are north-easterly. These winds induce easterly surface currents
(Ekman transport effect).</p>
      <p id="d1e652">The years 2012, 2016, and 2019 also experienced easterly winds in spring or early summer
(based on ERA5 reanalysis) and similarly show large numbers
of red particles still within the plot region on 3 July.
Other years see large numbers of other-coloured particles come close inshore,
in particular 2007, 2017, and 2020.
In the satellite imagery (2017–2020) and Kondrik catalogue (1998–2016),
none of these years show coccolithophore blooms that reach into the
bays and inlets of eastern Shetland. Imagery for 2020 (not shown)
comes the closest, with a bloom 10–20 <inline-formula><mml:math id="M8" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula> away from the coast.
The 2020 particle tracking has orange particles in this region, originating
from further west on the shelf edge.</p>
      <p id="d1e663">We conclude that in some years blooms around Shetland form in
water coming from the shelf edge. We cannot conclude that bloom development is
always linked to specific locations and timings of source water along the shelf edge.</p>
      <p id="d1e666">To understand how the bloom appeared so close inshore, we examined the daily
particle trajectories for 2021 (not shown).
Particles move south down the eastern side of Shetland during the second half
of June. In late June and early July there is a brief period of easterly winds,
and the particles are driven in towards the coast.
Brief easterlies are not unusual, but these coincided with<?pagebreak page5?> coccolithophore-laden
water near the coast.
We suggest that coincidences of timing and weather in 2021 created the
unusual phenomenon of a visible coccolithophore bloom on the eastern Shetland
coast.</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="d1e672">Top: ERA5 monthly mean 10 <inline-formula><mml:math id="M9" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> winds (product ref. no. 4, Table <xref ref-type="table" rid="Ch1.T1"/>) for <bold>(a)</bold> May 2021 and <bold>(b)</bold> May 1979–2020 climatology.
Bottom: surface current for May from reanalysis (product ref. no. 1, Table <xref ref-type="table" rid="Ch1.T1"/>) for <bold>(c)</bold> May 2021 and <bold>(d)</bold> May 1983–2020 climatology.</p></caption>
        <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://sp.copernicus.org/articles/1-osr7/13/2023/sp-1-osr7-13-2023-f04.png"/>

      </fig>

</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Clyde Sea bloom</title>
      <p id="d1e714">Analysis of the 2021 bloom in the Clyde Sea is hampered by a paucity of observations.
Weather stations provide data on the atmospheric conditions.
Satellite instruments provide estimates of SST and of chlorophyll, with caveats discussed below.
We have found no in situ measurements of conditions within the Clyde Sea itself.
Biogeochemical reanalysis data are available <xref ref-type="bibr" rid="bib1.bibx27" id="paren.35"/>, but their ability
to accurately simulate the Clyde Sea is hampered by a lack of data on river discharge.
Freshwater input and nutrient input from rivers are important variables for the biogeochemistry here.
In this paper we analyse the data that are available and build from<?pagebreak page6?> them
a plausible storyline. That storyline starts with diatom growth in early spring.</p>
<sec id="Ch1.S4.SS1">
  <label>4.1</label><title>The Clyde Sea and the annual cycle of diatoms</title>
      <p id="d1e727">The Clyde Sea comprises a large tidal estuary with several islands and
fjord-like sea lochs. It is the outlet of the River Clyde and other rivers into
the Irish Sea. It has a maximum depth of 164 <inline-formula><mml:math id="M10" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>, with a sill (the “Great
Plateau”) of approximately 40 <inline-formula><mml:math id="M11" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> depth where it meets the Irish Sea. Freshwater
outflow from rivers and from land drainage tends to maintain stable
stratification in the basin <xref ref-type="bibr" rid="bib1.bibx47" id="paren.36"/>. This together with the
sill restricts tidal mixing to mostly near-surface waters. <xref ref-type="bibr" rid="bib1.bibx13" id="text.37"/>
estimate a residence time of 2 months for surface water in the main body of the Clyde Sea.
Nutrient content in the Clyde Sea tends to be higher than adjacent coastal waters
(based on measurements of nitrate in <xref ref-type="bibr" rid="bib1.bibx48" id="altparen.38"/>). Tidal
currents within the Clyde Sea tend to be weak. Water in the deeper waters below
the sill can stagnate, leading to nutrient build-up near the sea bed. <xref ref-type="bibr" rid="bib1.bibx47" id="text.39"/>
show that strong winds can sometimes overcome the vertical
stability and mix the water column. This would act to replenish nutrients in
the surface layers in the event of an algal bloom.</p>
      <p id="d1e759"><xref ref-type="bibr" rid="bib1.bibx33" id="text.40"/> sampled the Clyde Sea and its lochs extensively, finding the following:<disp-quote>
  <p id="d1e765">There is a well-marked spring diatom maximum which starts at the end of March
or the beginning of April.</p>
</disp-quote>A diatom bloom will consume nutrients <xref ref-type="bibr" rid="bib1.bibx49" id="paren.41"/>, which will tend to inhibit further phytoplankton growth <xref ref-type="bibr" rid="bib1.bibx14" id="paren.42"/>.
<xref ref-type="bibr" rid="bib1.bibx33" id="text.43"/> also observed a second, smaller summer maximum but noted that diatoms
near the surface were less healthy than those several metres deeper. Tests with
samples left in direct sunlight and in shade showed that summer light levels
were injurious for these diatoms.</p>
      <p id="d1e779"><xref ref-type="bibr" rid="bib1.bibx23" id="text.44"/> assessed extensive and more recent surveys (1976–1978) of the
Inner Firth. They found rapid growth in diatoms from late March or early April
in each year of the study, dominated by <italic>Skeletonema</italic> spp. and <italic>Thalassiosira nordenskioldii</italic>. They also found <italic>Nitzschia seriata</italic> (now called <italic>Pseudo-nitzschia “seriata</italic> type”) and <italic>Chaetoceros</italic> spp. at those times present in considerable
numbers. During these spring blooms total chlorophyll was dominated by
diatoms. For 1977 they found evidence that the <italic>Skeletonema</italic> were being grazed by
microzooplankton (<italic>Ebria</italic>). <xref ref-type="bibr" rid="bib1.bibx7" id="text.45"/> also report an intense spring
bloom dominated by <italic>Skeletonema</italic> during the monitoring period 2005–2013.</p>
</sec>
<sec id="Ch1.S4.SS2">
  <label>4.2</label><title>Timing and source of 2021 Clyde coccolithophore bloom</title>
      <p id="d1e820">Figure <xref ref-type="fig" rid="Ch1.F1"/> shows the Clyde bloom on 21 June 2021. There are earlier visual
reports of bright patches in the sea around the Isle of Arran in the centre of
the Clyde Sea on 12 June <xref ref-type="bibr" rid="bib1.bibx18" id="paren.46"/>. Satellite imagery
(Fig. <xref ref-type="fig" rid="Ch1.F2"/>a) has no bright patch in the Clyde Sea that day, but the sea
around Arran is<?pagebreak page7?> partly obscured by cloud. Imagery for 13–16 June is almost wholly obscured by
cloud, and the first clear satellite image of a bright patch across the whole
of the Clyde Sea is from 18 June (Fig. <xref ref-type="fig" rid="Ch1.F2"/>b). This patch persists
until 5 July and then fades. Figure <xref ref-type="fig" rid="Ch1.F2"/>c shows that by this time the bloom is
apparent even in the northernmost reaches of Loch Fyne. This sea loch flows
into the Clyde Sea but is tidal along its 65 <inline-formula><mml:math id="M12" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula> length.</p>
      <p id="d1e843">Transmission electron microscopy of a sample from Millport collected at
the end of June revealed the bloom to be comprised of liths and cells of
<italic>E. huxleyi</italic> – morphotype B (Fig. <xref ref-type="fig" rid="Ch1.F1"/>d), providing the first confirmation
of this species in high abundance at this site. <italic>E. huxleyi</italic> morphotypes A
and B have been recorded in the waters around Scotland <xref ref-type="bibr" rid="bib1.bibx51 bib1.bibx30" id="paren.47"/>.
Little is known about the seasonality of <italic>E. huxleyi</italic>
morphotypes on the west coast of Scotland. A study at the Marine Scotland
Scottish Coastal Observatory (SCObs) monitoring site at Stonehaven on the east
coast from 2010–2013 showed a distinct repeated seasonality in the occurrence
of different <italic>E. huxleyi</italic> morphotypes <xref ref-type="bibr" rid="bib1.bibx30" id="paren.48"/>. Morphotype B was commonly recorded in
spring, with morphotype A occurring from June to August followed by an
overcalcified form of morphotype A (type AO) in autumn and winter months.
The dominance of <italic>E. huxleyi</italic> morphotype B in the 2021 Clyde bloom
differs in timing from the seasonality recorded on the east coast.</p>
      <p id="d1e870">Coccolithophores have a haplodiplontic life cycle <xref ref-type="bibr" rid="bib1.bibx28" id="paren.49"/>.
New cells are haploid (one set of chromosomes in the nucleus). These haploid cells
develop into diploid cells (two sets of chromosomes in the nucleus). For the genus
<italic>Emiliania</italic>, it is only the diploid form that produces coccoliths.
<xref ref-type="bibr" rid="bib1.bibx20" id="text.50"/> explain its “Cheshire Cat” strategy for resisting viral attack.
Giant phycodnaviruses (<italic>Emiliania huxleyi</italic> viruses, EhVs) infect and
lyse diploid-phase cells and are heavily implicated in the termination of blooms.
The diploid cells transition to haploid cells that are resistant to EhVs,
shedding coccoliths as they do.
Thus the bloom in the Clyde Sea may have started some time before sufficient coccoliths
had accumulated to make it visible.</p>
      <p id="d1e885">It is possible that <italic>E. huxleyi</italic> was introduced by tidal mixing into
the Clyde Sea from the Irish Sea or that it was already resident.
Reverse particle tracking (not shown) excludes immediate seeding from blooms at
the Malin shelf break as a likely cause.
The satellite imagery shows the bloom mostly confined to the Clyde Sea.
We conclude that conditions within the Clyde basin in late May or early June were
particularly favourable for <italic>E. huxleyi</italic> to thrive. We aim here to
understand exactly which aspects were favourable and what brought them about.</p>
</sec>
<sec id="Ch1.S4.SS3">
  <label>4.3</label><title>Physical environment in 2021</title>
      <p id="d1e902">Figure <xref ref-type="fig" rid="Ch1.F5"/>a shows daily values of sea surface temperature (SST) from the NWS
reanalysis averaged over the Clyde Sea for the years 1998–2021. June 2021
values are in the middle of the range. Values for April and May are towards the
cold end of the range. Statistics from a high-resolution satellite SST product
in Table <xref ref-type="table" rid="Ch1.T2"/> (product ref. no. 3, Table <xref ref-type="table" rid="Ch1.T1"/>) confirm this.
Monthly means for April, May, and June 2021 are,
respectively, at the 10th, 5th, and
52nd percentiles for those months over the period 1982–2021.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5"><?xmltex \currentcnt{5}?><?xmltex \def\figurename{Figure}?><label>Figure 5</label><caption><p id="d1e913">
Daily mean values averaged over the Clyde Sea basin of <bold>(a)</bold> reanalysis sea surface temperature
for individual years. The year 2021 is in black.
Chlorophyll concentrations (product ref. no. 2, Table <xref ref-type="table" rid="Ch1.T1"/>) for the Clyde Sea from ocean colour products
for <bold>(b)</bold> diatoms and <bold>(c)</bold> nanophytoplankton are also given.
Black dots and lines are ocean colour estimates for 2021. Blue shows mean estimates for 1998 to 2020.
Smaller purple dots are values for individual years, showing the year-to-year spread.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://sp.copernicus.org/articles/1-osr7/13/2023/sp-1-osr7-13-2023-f05.png"/>

        </fig>

      <p id="d1e933">Table <xref ref-type="table" rid="Ch1.T2"/>a has monthly statistics of SST from a satellite SST product
(product ref. no. 3, Table <xref ref-type="table" rid="Ch1.T1"/>) for a point within the Clyde Sea
(55.27<inline-formula><mml:math id="M13" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 5.11<inline-formula><mml:math id="M14" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W), close to
the lower right intersection of grid lines in Fig. <xref ref-type="fig" rid="Ch1.F1"/>.
April and May 2021 SSTs were unusually cold compared to climatology. June was close to the median.
The cold SST can be linked to the weather (Table <xref ref-type="table" rid="Ch1.T2"/>b, c, d).
April saw anticyclonic weather that was cold, dry, and exceptionally sunny <xref ref-type="bibr" rid="bib1.bibx55" id="paren.51"/>.
May 2021 had anomalously low atmospheric pressure over the UK,
bringing storms, high rainfall, and high winds <xref ref-type="bibr" rid="bib1.bibx56" id="paren.52"/>.
June was drier and warmer than average.</p>
      <?pagebreak page8?><p id="d1e970"><?xmltex \hack{\newpage}?>There were two severe storms in May 2021,
one on 9, 10, and 11 May and a stronger one on 20 and 21 May.
These appear to coincide with periods when there is a pause in the
rate of increase in SST (Fig. <xref ref-type="fig" rid="Ch1.F5"/>a).
This suggests the strong winds are mixing the water column.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2"><?xmltex \currentcnt{2}?><label>Table 2</label><caption><p id="d1e979">Statistics of monthly means from <bold>(a)</bold> CMEMS European area level 4 SST analysis
at 55.27<inline-formula><mml:math id="M15" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 5.11<inline-formula><mml:math id="M16" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W, and <bold>(b, c, d)</bold> from weather stations in the Clyde
catchment area (National Climate Information Centre, NCIC).</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.98}[.98]?><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="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col3">(a) Sea surface temperature </oasis:entry>
         <oasis:entry colname="col4"/>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">Monthly</oasis:entry>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">mean (<inline-formula><mml:math id="M17" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C)</oasis:entry>
         <oasis:entry colname="col3">Anomaly (<inline-formula><mml:math id="M18" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C)</oasis:entry>
         <oasis:entry colname="col4">Percentile</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">April</oasis:entry>
         <oasis:entry colname="col2">7.53</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M19" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.65</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">10 %</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">May</oasis:entry>
         <oasis:entry colname="col2">8.81</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M20" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1.20</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">5 %</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">June</oasis:entry>
         <oasis:entry colname="col2">12.24</oasis:entry>
         <oasis:entry colname="col3">0.05</oasis:entry>
         <oasis:entry colname="col4">52 %</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col2">(b) Air temperature </oasis:entry>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">Monthly</oasis:entry>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">mean (<inline-formula><mml:math id="M21" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C)</oasis:entry>
         <oasis:entry colname="col3">Anomaly (<inline-formula><mml:math id="M22" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C)</oasis:entry>
         <oasis:entry colname="col4">Percentile</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">April</oasis:entry>
         <oasis:entry colname="col2">5.5</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M23" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1.4</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">10 %</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">May</oasis:entry>
         <oasis:entry colname="col2">8.4</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M24" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1.4</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">10 %</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">June</oasis:entry>
         <oasis:entry colname="col2">13.4</oasis:entry>
         <oasis:entry colname="col3">1.0</oasis:entry>
         <oasis:entry colname="col4">83 %</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col2">(c) Sunshine hours </oasis:entry>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">Percentage</oasis:entry>
         <oasis:entry colname="col4"/>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">Total</oasis:entry>
         <oasis:entry colname="col3">of climatology</oasis:entry>
         <oasis:entry colname="col4">Percentile</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">April</oasis:entry>
         <oasis:entry colname="col2">236</oasis:entry>
         <oasis:entry colname="col3">159 %</oasis:entry>
         <oasis:entry colname="col4">100 %</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">May</oasis:entry>
         <oasis:entry colname="col2">151</oasis:entry>
         <oasis:entry colname="col3">80 %</oasis:entry>
         <oasis:entry colname="col4">19 %</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">June</oasis:entry>
         <oasis:entry colname="col2">174</oasis:entry>
         <oasis:entry colname="col3">111 %</oasis:entry>
         <oasis:entry colname="col4">76 %</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col2">(d) Rainfall </oasis:entry>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">Percentage</oasis:entry>
         <oasis:entry colname="col4"/>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">Total (<inline-formula><mml:math id="M25" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col3">of climatology</oasis:entry>
         <oasis:entry colname="col4">Percentile</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">April</oasis:entry>
         <oasis:entry colname="col2">16</oasis:entry>
         <oasis:entry colname="col3">20 %</oasis:entry>
         <oasis:entry colname="col4">5 %</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">May</oasis:entry>
         <oasis:entry colname="col2">96</oasis:entry>
         <oasis:entry colname="col3">115 %</oasis:entry>
         <oasis:entry colname="col4">64 %</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">June</oasis:entry>
         <oasis:entry colname="col2">42</oasis:entry>
         <oasis:entry colname="col3">47 %</oasis:entry>
         <oasis:entry colname="col4">12 %</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table><table-wrap-foot><p id="d1e1006">Anomalies and percentiles are relative to yearly climatology:
<bold>(a)</bold> SST is CMEMS reprocessed level 4 satellite product 1982–2020 (product ref. no. 3, Table <xref ref-type="table" rid="Ch1.T1"/>).
<bold>(b, c, d)</bold> Weather station data are for the Clyde catchment area from NCIC for 1980–2021.</p></table-wrap-foot><?xmltex \gdef\@currentlabel{2}?></table-wrap>

</sec>
<sec id="Ch1.S4.SS4">
  <label>4.4</label><title>Ocean colour estimates of chlorophyll</title>
      <p id="d1e1447">Figure <xref ref-type="fig" rid="Ch1.F5"/> shows a time series of estimates of chlorophyll <inline-formula><mml:math id="M26" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> from the
CMEMS ocean colour product (product ref. no. 2, Table <xref ref-type="table" rid="Ch1.T1"/>) for two plankton functional types,
diatoms and nanophytoplankton. Mean values for 1998–2020 (blue line) show similar
patterns for diatoms and nanophytoplankton: concentrations rising to a peak in
late March and a smaller second peak in early May, although with considerable
year-to-year variation (purple dots). Estimates for 2021 are again
similar between both functional types. Both have strong peaks in early April,
well above the 1998–2020 mean. Values drop rapidly during April,
rising again towards the end of that month.
Both types also show a fall immediately following the two May storms,
around 10 and 20 May.</p>
      <p id="d1e1461">As discussed in Sect. <xref ref-type="sec" rid="Ch1.S2.SS1"/>, chlorophyll estimation can be difficult
in coastal waters.
Vertical mixing and river discharge due to the May storms might increase
levels of dissolved organic matter and sediment in the water. Vertical mixing
might dilute plankton in the surface layers that are sensed by
the ocean colour instruments.
The presence of coccoliths and cloud mean that much of the data for June
have been masked in the estimation process.
The ocean colour product includes an estimate of root mean square error (RMSE) following <xref ref-type="bibr" rid="bib1.bibx8" id="text.53"/>.
For the Clyde Sea, values of RMSE for diatoms and nanophytoplankton in
both April and May 2021 are given as approximately 0.5 <inline-formula><mml:math id="M27" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>.
This is similar in size to the estimates themselves for nanophytoplankton,
and so we avoid drawing conclusions from Fig. <xref ref-type="fig" rid="Ch1.F5"/>c.
Estimated concentrations for diatoms are somewhat larger, and so we have
more confidence in drawing conclusions from the diatom time series (Fig. <xref ref-type="fig" rid="Ch1.F5"/>b).</p>
</sec>
<sec id="Ch1.S4.SS5">
  <label>4.5</label><title>Possible causes of Clyde bloom</title>
      <p id="d1e1498"><xref ref-type="bibr" rid="bib1.bibx34" id="text.54"/> assessed coccolithophore growth and mortality rates based on
samples from the Celtic Sea in April 2015. They identified several conditions
that favour coccolithophore blooms. These are considered individually below.<def-list>
            <def-item><term>(a) Warm, stratified waters.</term><def>

      <p id="d1e1509">SST in June 2021 was close to average for that month (Table <xref ref-type="table" rid="Ch1.T2"/>a).
Vertical profiles of temperature from the reanalysis for 2021 (not shown) are
stably stratified, but this is typical for June.
The following conclusion was reached: June 2021 temperatures were not unusual.</p>
            </def></def-item>
            <def-item><term>(b) Sunlight.</term><def>

      <p id="d1e1520">June 2021 was sunnier than average (76th percentile,
Table <xref ref-type="table" rid="Ch1.T2"/>c).
The following conclusion was reached: sunshine might have been a contributory factor in 2021.</p>
            </def></def-item>
            <def-item><term>(c) Availability of nutrients.</term><def>

      <p id="d1e1531">We have no direct measurements of nutrients in the Clyde Sea. April 2021 was a
dry month (5th percentile, Table <xref ref-type="table" rid="Ch1.T2"/>d), and so
river discharge in April would have been low.
Rainfall in May was above average. May was also a stormy month,
which may have mixed the water column, bringing nutrients from deep water into
the photic zone <xref ref-type="bibr" rid="bib1.bibx40" id="paren.55"/>. Each of these factors could lead to higher-than-usual nutrient availability by the end of May.
Ocean colour estimates of diatoms suggest lower-than-usual diatom growth in
April and increased growth during May (Fig. <xref ref-type="fig" rid="Ch1.F5"/>b).
The following conclusion was reached: observations show low chlorophyll mass in spring 2021. This could
be due to the cold water temperatures and limited nutrient input in April 2021.
The<?pagebreak page9?> wet and stormy conditions in May of both years likely increased nutrient
levels in near-surface layers in the Clyde Sea. Both these factors would help
produce suitable conditions for a bloom.</p>
            </def></def-item>
            <def-item><term>(d) Scarcity of predatory microzooplankton.</term><def>

      <p id="d1e1547"><xref ref-type="bibr" rid="bib1.bibx34" id="text.56"/> found that microzooplankton exert strong top-down control on coccolithophore populations,
grazing up to 80 % of daily production in a bloom of <italic>E. huxleyi</italic>.
We might hypothesise that fewer diatoms in April and May led to low numbers of microzooplankton
during that time, reducing the grazing pressure on <italic>E. huxleyi</italic> in late May and early June.
However, growth rates for microzooplankton can be rapid, sometimes more than three
doublings per day for tintinnids <xref ref-type="bibr" rid="bib1.bibx52" id="paren.57"/>.
The following conclusion was reached: this could be a contributory factor, though we have no evidence for this.
The ability of microzooplankton to multiply rapidly suggests at least that other factors were also involved.</p>
            </def></def-item>
          </def-list></p>
      <p id="d1e1563">Advection of a bloom into the region is another possible cause. We consider this unlikely for
two reasons. The Clyde Sea is semi-enclosed, with an estimated residence time of
2 months for surface water in the main body of the Clyde Sea <xref ref-type="bibr" rid="bib1.bibx13" id="paren.58"/>.
This was consistent with reverse tracking (not shown) of a set of virtual particles
placed in the Clyde Sea in June and tracked backwards for 60 d to find their source.
The majority remained within the Clyde Sea.
Also, satellite imagery shows a bloom in the Clyde Sea but not in the adjoining Irish Sea.</p>
</sec>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <label>5</label><title>Discussion</title>
      <p id="d1e1578">Phytoplankton are of special interest in the waters around Scotland, where
aquaculture and fishing are major industries. Through primary production,
phytoplankton form the base of a food chain that sustains marine fauna
<xref ref-type="bibr" rid="bib1.bibx21" id="paren.59"/>. Blooms of phytoplankton can be harmful to other
marine life and can produce toxins dangerous for human consumers of seafood
<xref ref-type="bibr" rid="bib1.bibx11" id="paren.60"/>.  There is thus increasing interest from policy-makers
to understand the diversity dynamics of phytoplankton communities in Scotland
and other parts of the North West Shelf (NWS) and to understand its
influence on industries and diversity status assessments
<xref ref-type="bibr" rid="bib1.bibx46 bib1.bibx35" id="paren.61"/>.</p>
      <p id="d1e1590">This paper presents hypotheses to explain two unusual blooms. We suggest that
the bloom on the eastern side of Shetland originated in Atlantic water brought
north of Shetland by the European Slope Current. The water's passage eastward was retarded
by a period of anomalous easterly winds in May, and it was later steered towards
the Shetland coast by a shorter period of easterly winds. The timing was such
that there were abundant coccoliths present when this water was close inshore.
The bloom within the Clyde Sea appears to have developed in place. We hypothesise that
environmental factors may have combined to create suitable conditions in the
Clyde Sea. A cold and dry April could have restricted spring growth of diatoms,
leaving nutrients available for a summer bloom of coccolithophores. A wet and
stormy May might also have added to the nutrients.</p>
      <p id="d1e1593">Our explanations are based on limited evidence (SST and chlorophyll estimates
from satellites, modelling by the reanalysis). We do not have in situ
measurements from within the blooms to confirm our hypotheses.</p>
      <p id="d1e1596">For both blooms, we propose the weather as a key factor. Other studies also
identify the importance of the weather for algal blooms. <xref ref-type="bibr" rid="bib1.bibx57" id="text.62"/>
looked at unusually strong blooms of the biotoxin-producing dinoflagellate
<italic>Dinophysis</italic> on the western side of the Shetland Islands in the summers of 2006
and 2013. They found these blooms coincided with periods where the winds,
usually more southerly, became westerly. They suggested the westerly winds
advected <italic>Dinophysis</italic> populations onshore, resulting in an increase in
diarrhetic shellfish toxin levels in farmed mussels (<italic>Mytilus edulis</italic>).</p>
      <p id="d1e1612">There is evidence that the distribution of coccolithophores has expanded
polewards in recent decades <xref ref-type="bibr" rid="bib1.bibx4 bib1.bibx58 bib1.bibx43" id="paren.63"/>,
due either to changes in ocean temperature or dissolved inorganic carbon.
Growth of <italic>E. huxleyi</italic> is also known to be impacted by major changes in
ocean pH <xref ref-type="bibr" rid="bib1.bibx42" id="paren.64"/>. Changes in pH observed in seas
around the UK <xref ref-type="bibr" rid="bib1.bibx19" id="paren.65"/> are not large enough to explain recent
variability in coccolithophore abundance in Scottish waters.</p>
      <p id="d1e1627">Changing weather patterns have the potential to influence the occurrence
of unusual phytoplankton blooms in coastal waters.
These changes have the potential to
impact higher trophic levels in the marine ecosystem. A better understanding of
the processes and dynamics involved will help in forewarning, preparation, and
development of adaptation measures for these changes.</p>
      <p id="d1e1630">This paper shows how use of satellite data and model reanalysis can help to
meet the challenge of assessing major events in UK waters, despite a sparsity
of in situ observations. However we could be more confident in our findings if
we had more information about environmental conditions. More complete data on
river discharge would help in simulating biogeochemical and ecosystem variables
in the Clyde Sea and other inshore water bodies. Widespread routine monitoring of
nutrient levels and phytoplankton components could help greatly in
understanding future blooms.</p>
</sec>

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

      <p id="d1e1637">The data products used in this article, as well as their names, availability, and documentation, are summarised in
Table 1.</p>
  </notes><notes notes-type="authorcontribution"><title>Author contributions</title>

      <?pagebreak page10?><p id="d1e1643">RR processed the reanalysis data and wrote much of the text.
EB produced the micrograph of the <italic>E. huxleyi</italic> sample. PM produced
the ocean colour images. Every author contributed to discussion and development of
the hypotheses presented. Every author also added to and reviewed the text.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e1652">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="d1e1658">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="d1e1664">We gratefully acknowledge use of the <italic>OceanParcels</italic> code <xref ref-type="bibr" rid="bib1.bibx12" id="paren.66"/>
in calculating backward trajectories. We also acknowledge use of
collated station statistics from the UK National Climate Information Centre
and ERA5 reanalysis data <xref ref-type="bibr" rid="bib1.bibx24" id="paren.67"/> downloaded from the Copernicus Climate
Change Service (C3S) Climate Data Store.
We thank ESA for the satellite image in Fig. <xref ref-type="fig" rid="Ch1.F1"/>, made available under Creative
Commons License BY-SA 3.0 IGO
(<ext-link xlink:href="https://creativecommons.org/licenses/by-sa/3.0/igo/">https://creativecommons.org/licenses/by-sa/3.0/igo/</ext-link>, last access: 30 May 2023).
Transmission electron analysis of the Millport water sample was performed at
the Microscopy Unit, Institute of Medical Sciences, University of Aberdeen.</p></ack><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e1684">This paper was edited by Griet Neukermans and reviewed by David Bowers and two anonymous referees.</p>
  </notes><ref-list>
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