<?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?>
  <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-18-1183-2022</article-id><title-group><article-title>Kinematics of surface currents at the northern margin <?xmltex \hack{\break}?> of the Gulf of Cádiz</article-title><alt-title>Kinematics of surface currents at the northern margin of the Gulf of Cádiz</alt-title>
      </title-group><?xmltex \runningtitle{Kinematics of surface currents at the northern margin of the Gulf of C\'{a}diz}?><?xmltex \runningauthor{L. de Oliveira J\'{u}nior et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>de Oliveira Júnior</surname><given-names>Luciano</given-names></name>
          <email>lojunior@ualg.pt</email>
        <ext-link>https://orcid.org/0000-0001-5899-2979</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Relvas</surname><given-names>Paulo</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-6404-5895</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Garel</surname><given-names>Erwan</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-4584-9759</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Centre for Marine and Environmental Research (CIMA), University of
Algarve, Faro, 8005-139, Portugal</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Centre of Marine Sciences (CCMAR), University of Algarve, Faro,
8005-139, Portugal</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Luciano de Oliveira Júnior (lojunior@ualg.pt)</corresp></author-notes><pub-date><day>8</day><month>August</month><year>2022</year></pub-date>
      
      <volume>18</volume>
      <issue>4</issue>
      <fpage>1183</fpage><lpage>1202</lpage>
      <history>
        <date date-type="received"><day>29</day><month>March</month><year>2022</year></date>
           <date date-type="rev-request"><day>4</day><month>April</month><year>2022</year></date>
           <date date-type="rev-recd"><day>26</day><month>June</month><year>2022</year></date>
           <date date-type="accepted"><day>4</day><month>July</month><year>2022</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2022 </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/.html">This article is available from https://os.copernicus.org/articles/.html</self-uri><self-uri xlink:href="https://os.copernicus.org/articles/.pdf">The full text article is available as a PDF file from https://os.copernicus.org/articles/.pdf</self-uri>
      <abstract><title>Abstract</title>

      <p id="d1e107">The subtidal surface water circulation at the northern
margin of the Gulf of Cádiz, at the southern extremity of the Iberian
upwelling system, is described based on validated hourly high-frequency
radar measurements from 2016 to 2020. Statistical analyses (mean, standard
deviation, eccentricity and empirical orthogonal functions) are applied to
the dataset, which is completed with ADCP time series from multiple moorings
at five inner-shelf stations and ERA5 wind. Off the shelf, the main circulation
pattern consists of a slope current, best developed in summer when
north-westerlies dominate, in particular at the most exposed western region.
Mechanisms other than upwelling must contribute to this flow in order to
explain its seasonal persistence. The slope circulation reverses for
regional wind events with an east component <inline-formula><mml:math id="M1" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 10 m 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>,
approximately. On the shelf, currents are mainly alongshore and balanced.
The circulation is generally continuous along the coast, except for weak
(<inline-formula><mml:math id="M3" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> 0.1 m 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>, broadly) poleward flows. In the latter case, the
flow tends to remain equatorward near Cape Santa Maria. In winter, coastal
poleward flows often extend over the entire margin and are mainly
wind-driven. In summer, these flows generally consist of coastal counter
currents (CCCs) with the poleward direction opposed to that of the slope
current. The CCCs are associated with significant cyclonic recirculation,
strongest to the west, where a transient eddy is shortly observed for weak wind
stress. This circulation develops after periods of strong north-westerlies,
supporting that CCCs result from the imbalance of a regional alongshore
pressure gradient.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

      <?xmltex \hack{\newpage}?>
<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e159">The northern margin of the Gulf of Cádiz (NMGoC), along the southwest coast
of the Iberian Peninsula, is characterised by a complex water circulation
related to its geographic setting. The region is bounded in the west by the
Portuguese branch of the Canary Current Upwelling System and, in the east, by
the Strait of Gibraltar where important water exchange and mixing occur
between Atlantic and Mediterranean waters (García-Lafuente et al.,
2011; Price et al., 1993). The water circulation at the NMGoC is influenced
by these remote forcings together with regional wind conditions, producing
coastal upwelling and associated mesoscale structures (Criado-Aldeanueva et
al., 2006; García-Lafuente et al., 2006; Peliz et al., 2007; Relvas and
Barton, 2002; Sánchez et al., 2007; Sánchez and Relvas, 2003).
Understanding the main circulation patterns is essential to support the
management of socio-economic activities and of the marine ecosystem. In
particular, fisheries and coastal tourism have a considerable weight in the
region (Ortega et al., 2013), and some spots on the shelf have been
recognised as biodiversity sanctuaries (Boavida et al., 2016). The offshore
region is also a busy maritime route (Nunes et al., 2020) for large tankers
that pose a risk regarding hazardous substance spills. However, available
studies about the coastal and shelf circulation are supported by relatively
few direct observations, mostly in spring and summer, and provide an
incomplete description of the general circulation pattern and its seasonal
variability.</p>
      <p id="d1e162">The large-scale surface circulation at the NMGoC has been mainly assessed
from sea surface temperature (SST) satellite imagery (Fiúza et al.,
1982; Folkard et al., 1997; Relvas and Barton, 2002; Stevenson, 1977; Vargas
et al., 2003) and CTD measurements (Criado-Aldeanueva et al., 2006; Garcia
et al., 2002; Sánchez and Relvas, 2003). These data limit the scope of
investigation to water masses having a significant temperature contrast and
to geostrophic flows. In situ velocity measurements were obtained from a few
cross-shelf ADCP transects (Cravo et al., 2013; García-Lafuente et al.,
2006; García Lafuente and Ruiz, 2007; Relvas and Barton, 2005) and
seabed moorings lasting a week to months at the eastern part of the inner-shelf
(Criado-Aldeanueva et al., 2009; de Oliveira Júnior et al., 2021; Garel
et al., 2016; Prieto et al., 2009; Sánchez et al., 2006). In addition,
numerical models have been developed to investigate the wind-driven coastal
circulation (Teles-Machado et al., 2007) and the hydrodynamic effects in the
region of the water exchange with the Mediterranean Sea (Kida et al., 2008;
Peliz et al., 2013, 2009, 2007).</p>
      <p id="d1e165">From the above studies, the subtidal inner-shelf (or coastal) circulation is
generally described as being dominated by alongshore flows with opposed
direction and contrasted temperature in summer, with variations up to
2 <inline-formula><mml:math id="M5" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C d<inline-formula><mml:math id="M6" 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> (Garel et al., 2016). Cold equatorward flows (EFs,
broadly eastward) are generally associated with upwelling events (Fiúza et
al., 1982; Relvas and Barton, 2005, 2002) while warm poleward flows (PFs,
broadly westward), often referred to as coastal counter currents (CCCs),
develop when upwelling-favourable winds relax or reverse (de Oliveira
Júnior et al., 2021; Garel et al., 2016; Relvas and Barton, 2002;
Sánchez et al., 2006; Teles-Machado et al., 2007). Observations from
ADCP moorings at the eastern inner shelf indicate that the coastal flow is
highly polarised, switching semi-weekly between equatorward and poleward
without a clearly predominant direction during the year (de Oliveira
Júnior et al., 2021; Garel et al., 2016). Cross-shelf transects further
suggest that in spring and summer the CCCs constitute the northern branches
of cyclonic cells that occupy the whole margin (García-Lafuente et al.,
2006). At the southern boundary of the shelf, over the shelf slope, the
upper layer circulation is dominated by a permanent strong eastward current
(Criado-Aldeanueva et al., 2006; García-Lafuente et al., 2006;
García Lafuente and Ruiz, 2007; Peliz et al., 2009, 2007; Relvas and
Barton, 2005, 2002; Sánchez and Relvas, 2003), associated with a cold SST
signal in summer which is typical of upwelling events (Fiúza, 1983;
Folkard et al., 1997; Relvas and Barton, 2002; Vargas et al., 2003). This
feature has been termed a “slope current”, not in the sense of being JEBAR
driven (Simpson and Sharples, 2012) but that it is somehow constrained by
the slope bathymetry (Peliz et al., 2009, 2007; Relvas and Barton, 2002;
Sánchez and Relvas, 2003).</p>
      <p id="d1e189">To contribute to the knowledge of the water circulation at the NMGoC, the
present study addresses the kinematics of surface currents based on 4.5 years (February 2016–October 2020) of hourly measurements from the South
Iberian High Frequency Radar (HFR) system. The analysis allows the
establishment of the main circulation patterns and its variability. Special
attention is paid to the distribution and seasonality of the coastal and
slope flows and to their linkage through cross-shore recirculation in
relation to wind conditions. The results provide a detailed characterisation
of the surface circulation at the NMGoC and some insights into their
driving processes.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Study area</title>
<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>Geographical setting</title>
      <p id="d1e207">The NMGoC lies along the southern Atlantic coast of Portugal and Spain. It
extends from Cape São Vicente (CSV), where the coastline orientation
changes from meridional to zonal at the southwest of Portugal, to the Strait
of Gibraltar in the east (Fig. 1). The margin consists of two distinct
physiographic regions separated by Cape Santa Maria (CSM) where the shelf is
the narrowest (5 km wide): a western bight, characterised by a relatively
narrow shelf (<inline-formula><mml:math id="M7" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> 30 km) with a steep slope, and an eastern bight
where the shelf is comparatively wider (<inline-formula><mml:math id="M8" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 40 km) and the slope is
gentler (Fig. 1). The shelf break is at about 200 m in depth. The few
rivers flowing into the NMGoC are mainly located to the east (e.g. the
Guadiana, Tinto–Odiel and Guadalquivir in the study area; Fig. 1) and
feature a low freshwater discharge throughout the year due to the semi-arid
regional climate and to strong river flow regulation by dams
(Díez-Minguito et al., 2012; Garel and D'Alimonte, 2017).</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="d1e226">Study area with location of the HFR antennas (green stars, with
VRSA: Vila Real de Santo António), ADCP mooring (red dots, with Alv: Alvor;
Qua: Quarteira; Arm: Armona; Tav: Tavira; Cac: Cacela), HFR grid nodes with
<inline-formula><mml:math id="M9" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 60 % of measurements (thin black dots) along with the transects
(TrW, TrCSM and TrE indicated as thick black dots) and grid nodes (W1, W2,
W3, C, E1, E2, E3, thick blue dots) analysed in the study. The thick grey
and black lines represent the drifters' trajectories and corresponding PVD
from HFR data, respectively (see Sect. 4). The dark green diamond indicates
the point where wind from ERA5 reanalysis was extracted (Sect. 6.1). The
isobaths of 100, 200 and 500 m are represented as thin black lines. For
general location, see inset (IP: Iberian Peninsula; NWA: northwest of
Africa; GoC: Gulf of Cádiz; SoG: Strait of Gibraltar).</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://os.copernicus.org/articles/18/1183/2022/os-18-1183-2022-f01.png"/>

        </fig>

</sec>
<sec id="Ch1.S2.SS2">
  <label>2.2</label><title>Circulation patterns</title>
      <p id="d1e250">Coastal upwelling generally occurs from April to September along the west
coast of Portugal due to the predominance of northerlies (Alvarez et al.,
2008; Fiúza et al., 1982). As the coastline sharply changes its
orientation, northerlies rotate anticlockwise around CSV due to a
low-pressure cell centred over the Iberian Peninsula and to orographic
constraints induced by the presence of a coastal mountain range (Fiúza,
1983; Relvas and Barton, 2002). The westerly component of the rotated wind
may promote coastal upwelling along the NMGoC until 7<inline-formula><mml:math id="M10" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>15<inline-formula><mml:math id="M11" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> W
approximately, being generally more pronounced at the capes (CSV and CSM)
(Criado-Aldeanueva et al., 2006; Relvas and Barton, 2002). These events
generally last for a few days only; for example the NMGoC has been described as a
region with episodic upwelling events rather than a typical upwelling region
(such as western Iberia) where upwelling persists during a substantial part
of the year, at least (Garel et al., 2016).</p>
      <p id="d1e271">The equatorward upwelling jet over the western Portugal shelf tends to
follow the coast around CSV and to merge with locally upwelled water at the
NMGoC (Relvas and Barton, 2005, 2002; Sánchez and Relvas, 2003). There,
the flow typically corresponds to a band of cold SST along the shelf and its
slope (Fiúza, 1983; Folkard et al., 1997; Relvas and Barton, 2005;
Stevenson, 1977; Vargas et al., 2003) where eastward extension is promoted
by favourable (westerly) wind (Criado-Aldeanueva et al., 2006; Vargas et
al., 2003). Velocity measurements have confirmed that this cold water band
is associated with eastward currents, having relatively strong near-surface
velocities (<inline-formula><mml:math id="M12" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 0.25 m s<inline-formula><mml:math id="M13" 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>) along the slope (Cravo et al.,
2013; García-Lafuente et al., 2006; Peliz et al., 2009; Relvas and
Barton, 2005). Over the western bight, this current has been observed up to
300 m in depth and to extend significantly offshore from the slope in summer
(García-Lafuente et al., 2006). At CSM, the slope current approaches
close to the coastline due to the narrowness of the shelf (Cravo et al.,
2013; Criado-Aldeanueva et al., 2006). Over the eastern bight, the flow has
been reported during all seasons and veers anticyclonically following the
slope orientation (Fig. 1; Criado-Aldeanueva et al., 2009, 2006;
Fiúza, 1983; Garcia et al., 2002; Peliz et al., 2009, 2007; Relvas and
Barton, 2002; Sánchez and Relvas, 2003). Measurements from ADCP moorings
suggest that, at a sub-monthly scale, these flows reverse predominantly in
winter and are wind-driven (Criado-Aldeanueva et al., 2009). In addition,
numerical model results support that the Mediterranean inflow–outflow
coupling contributes significantly to the development of the slope current
through an entrainment process (Peliz et al., 2009, 2007). These authors
proposed naming this current the Gulf of Cádiz Current (GCC).</p>
      <p id="d1e293">Over the inner shelf, the polarised alongshore subtidal circulation (de
Oliveira Júnior et al., 2021; Garel et al., 2016) is well-evidenced on
SST images from spring to autumn due to strong thermal contrast (Fiúza,
1983; Folkard et al., 1997; Relvas and Barton, 2002). The upwelled cold
water is frequently displaced offshore by a narrow band of warm water, about
10–20 km wide, leaning along the coast. This warm water signal originates
from the region of the Guadalquivir mouth (Fig. 1) and propagates westward
depending on the strength and duration of easterlies, rarely reaching the
west coast north of CSV (Fiúza, 1983; Relvas and Barton, 2002). The
corresponding PFs (so-called CCCs) are produced by the imbalance of an
alongshore pressure gradient during the relaxation (or reverse) of upwelling-favourable winds (de Oliveira Júnior et al., 2021; García-Lafuente
et al., 2006; Garel et al., 2016; Relvas and Barton, 2002) and are enhanced
by easterlies (Teles-Machado et al., 2007). ADCP measurements at the eastern
inner shelf show that EFs and PFs occur equally along the year, reversing
direction every 4 d on average (de Oliveira Júnior et al., 2021;
Garel et al., 2016). Cross-shelf ADCP transects (García-Lafuente et
al., 2006) and a spring–summer climatological analysis of the geostrophic
surface circulation based on historical (1900–1998) CTD data (Sánchez
and Relvas, 2003) suggest the existence of two cyclonic cells centred over
the eastern and western bights, connecting the slope and coastal flows.</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Data and methods</title>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>HFR, ADCP and drifter datasets</title>
      <p id="d1e312">The study area is equipped with four CODAR medium-range SeaSonde HFR
antennas located in Sagres, Alfazina, Vila Real de Santo António (VRSA) and
Mazagón (Fig. 1, green stars), as a result of a collaboration between
Puertos del Estado (Spain) and Instituto Hidrográfico (Portugal). The
system operates at 13.5 MHz, providing hourly radial surface velocities with
spatial resolution of approximately 1.5 km up to 60 km from the coast (CMEMS
Service Evolution, 2017). Each antenna measures the velocity towards or away
from it; thus, at least two antennas are required to compute the total
velocities (zonal and meridional components) through least-squares fitting
(Lipa and Barrick, 1983; Paduan and Washburn, 2013). In regions where the
radials from two antennas make an angle <inline-formula><mml:math id="M14" display="inline"><mml:mo>≤</mml:mo></mml:math></inline-formula> 20<inline-formula><mml:math id="M15" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>, the
orthogonal velocity component cannot be estimated accurately (Chapman et
al., 1997; Paduan and Washburn, 2013) and is estimated from adjacent valid
measurements (i.e. with radial angle <inline-formula><mml:math id="M16" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 20<inline-formula><mml:math id="M17" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>;
CODAR, 2004a, b).</p>
      <p id="d1e347">The first pair of HFR antennas, at VRSA and Mazagón, was installed in 2013
covering an area restricted to the eastern bight. Alfazina station started
operating in November 2014, extending the spatial coverage westward of CSM
(up to 8<inline-formula><mml:math id="M18" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>20<inline-formula><mml:math id="M19" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> W). In February 2016, the last antenna was installed
in Sagres, and full coverage of the western shelf was achieved (Fig. 1).
The dataset analysed in this study corresponds to the period with the largest
coverage, from February 2016 to October 2020. Earlier data were used for
validation.</p>
      <p id="d1e368">ADCP records were obtained at five mooring stations along the coast (Armona,
Cacela, Tavira, Alvor and Quarteira) at water depths of 20–23 m (for
location, see red stars in Fig. 1). A total of 30 deployments, lasting 0.4
to 6 months each, were performed between 2008 and 2019 using Workhorse 600 kHz and Sentinel V 500 kHz ADCPs from TRDI (Fig. 2). For each deployment,
the instrument was installed inside a cubic concrete artificial reef unit
(1.4 m side) lying on the bottom, with the sensor head slightly rising out.
Velocities were recorded along the water column within cells of 0.5–1 m in
thickness (depending on the deployment) with a sampling interval of 60 min, at maximum. The standard deviation (SD) of the horizontal velocity
resulting from the ADCP setup (number of pings per ensemble, cell size,
etc.) was generally less than 0.03 m s<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>.</p>
      <p id="d1e383">Three Metocean iSPHERE drifters were deployed by Instituto Hidrográfico
on 10 May 2013 at 2–8 km from the eastern bight shore, between 7<inline-formula><mml:math id="M21" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W and 7<inline-formula><mml:math id="M22" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>30<inline-formula><mml:math id="M23" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> W (Fig. 1). The drifters weighed 13.15 kg with a
diameter of 34 cm. They have no drogue, making the drift relatively sensible
to wind conditions. The drifters' position was recorded every 10 min by
an internal GPS.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2"><?xmltex \currentcnt{2}?><?xmltex \def\figurename{Figure}?><label>Figure 2</label><caption><p id="d1e416">ADCP deployments per month (<inline-formula><mml:math id="M24" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula> axis) between 2008 and 2019 (<inline-formula><mml:math id="M25" display="inline"><mml:mi>y</mml:mi></mml:math></inline-formula> axis)
at Armona (black), Cacela (red), Tavira (green), Alvor (blue) and Quarteira
(orange) stations.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://os.copernicus.org/articles/18/1183/2022/os-18-1183-2022-f02.png"/>

        </fig>

</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Processing</title>
      <p id="d1e447">ADCP data quality was ensured by independent validation of each ensemble
following the procedure described in Garel et al. (2016). In particular, the
upper cells affected by the surface boundary were removed based on the
signal intensity. For this study, only validated near-surface cells
(generally within the first 2–4 m from the surface) were considered.</p>
      <p id="d1e450">The HFR maps with low spatial coverage (<inline-formula><mml:math id="M26" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> 50 %) were removed from
the time series. Subsequently, periods with infrequent consecutive maps were
also discarded, resulting in data gaps ranging from 2 up to 144 d
(see blanks in Fig. 3a). The zonal and meridional surface velocity
components were linearly interpolated at grid nodes with time gaps <inline-formula><mml:math id="M27" display="inline"><mml:mo>≤</mml:mo></mml:math></inline-formula> 6 h. This threshold assures that no excessive interpolation is performed (as
the flow generally does not change drastically during such time intervals).
It was checked that other interpolation choices do not affect the results.</p>
      <p id="d1e467">The HFR and ADCP velocity components were low-pass filtered with a
Butterworth filter with a 40 h cut-off period. The resulting subtidal (or
sub-inertial) zonal (<inline-formula><mml:math id="M28" display="inline"><mml:mi>u</mml:mi></mml:math></inline-formula>, positive eastward) and meridional (<inline-formula><mml:math id="M29" display="inline"><mml:mi>v</mml:mi></mml:math></inline-formula>, positive
northward) velocities are considered hereafter, unless indicated. For HFR
data, the mean, SD ellipses and eccentricity (<inline-formula><mml:math id="M30" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:msqrt><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>-</mml:mo><mml:msup><mml:mi>b</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:msqrt><mml:mi>a</mml:mi></mml:mfrac></mml:mstyle></mml:mrow></mml:math></inline-formula>, where <inline-formula><mml:math id="M31" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M32" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> are the length of semi-major and semi-minor axes of
an ellipse respectively) maps were produced for the region having at least
60 % of records at each grid node (Fig. 3b). This threshold allows
consideration of a large area with few temporal gaps. For instance, the hourly
velocity maps cover at least 80 % of the selected area during 90 % of
the period 2016–2020 (Fig. 3a). The analysis was performed considering
both the whole time series and seasons (defined for simplicity as winter: 1 December–28 February; spring: 1 March–31 May; summer: 1 June–31 August; and
autumn: 1 September–30 November).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3"><?xmltex \currentcnt{3}?><?xmltex \def\figurename{Figure}?><label>Figure 3</label><caption><p id="d1e527"><bold>(a)</bold> Temporal distribution of the spatial coverage area considering
grid nodes having at least 60 % of records. <bold>(b)</bold> Percentage of data at each
grid node with indication of the 60 % and 75 % isocontours (thick black
lines). The isobaths of 100, 200 and 500 m are represented as thin black
lines.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://os.copernicus.org/articles/18/1183/2022/os-18-1183-2022-f03.png"/>

        </fig>

      <p id="d1e541">In order to describe the surface current main variability patterns, an
empirical orthogonal function (EOF) analysis was applied to the subtidal HFR
data following the techniques described in Kaihatu et al. (1998) and Kundu
and Allen (1976). The current field <inline-formula><mml:math id="M33" display="inline"><mml:mrow><mml:mi>V</mml:mi><mml:mfenced close=")" open="("><mml:mrow><mml:mi>x</mml:mi><mml:mo>,</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:mfenced></mml:mrow></mml:math></inline-formula>, where <inline-formula><mml:math id="M34" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula>
is the time and <inline-formula><mml:math id="M35" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula> is the coordinate, is expressed as a complex scalar
<inline-formula><mml:math id="M36" display="inline"><mml:mrow><mml:mi>V</mml:mi><mml:mfenced close=")" open="("><mml:mrow><mml:mi>x</mml:mi><mml:mo>,</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:mfenced><mml:mo>=</mml:mo><mml:mi>u</mml:mi><mml:mfenced open="(" close=")"><mml:mrow><mml:mi>x</mml:mi><mml:mo>,</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:mfenced><mml:mo>+</mml:mo><mml:mi>j</mml:mi><mml:mi>v</mml:mi><mml:mo>(</mml:mo><mml:mi>x</mml:mi><mml:mo>,</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, where <inline-formula><mml:math id="M37" display="inline"><mml:mrow><mml:mi>j</mml:mi><mml:mo>=</mml:mo><mml:msup><mml:mfenced close=")" open="("><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:mfenced><mml:mn mathvariant="normal">0.5</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>. The dataset <inline-formula><mml:math id="M38" display="inline"><mml:mi>V</mml:mi></mml:math></inline-formula> is then decomposed in terms of <inline-formula><mml:math id="M39" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula>
spatial and <inline-formula><mml:math id="M40" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> temporal coefficients (<inline-formula><mml:math id="M41" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="normal">Φ</mml:mi><mml:mi>k</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and
<inline-formula><mml:math id="M42" display="inline"><mml:mrow><mml:msub><mml:mi>a</mml:mi><mml:mi>k</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> respectively, where <inline-formula><mml:math id="M43" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> is an integer that ranges from 1 to
the total number of grid nodes):
            <disp-formula id="Ch1.E1" content-type="numbered"><label>1</label><mml:math id="M44" display="block"><mml:mrow><mml:mi>V</mml:mi><mml:mo>=</mml:mo><mml:munder><mml:mo movablelimits="false">∑</mml:mo><mml:mi>k</mml:mi></mml:munder><mml:msub><mml:mi>a</mml:mi><mml:mi>k</mml:mi></mml:msub><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo><mml:msub><mml:mi mathvariant="normal">Φ</mml:mi><mml:mi>k</mml:mi></mml:msub><mml:mo>(</mml:mo><mml:mi>x</mml:mi><mml:mo>)</mml:mo><mml:mo>.</mml:mo></mml:mrow></mml:math></disp-formula>
          The spatial and temporal coefficients are complex numbers and are typically
represented by their amplitude and phase. Furthermore, the complex
eigenfunctions <inline-formula><mml:math id="M45" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="normal">Φ</mml:mi><mml:mi>k</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> can be decomposed according to the velocity
components as <inline-formula><mml:math id="M46" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="normal">Φ</mml:mi><mml:mi>k</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:msubsup><mml:mi mathvariant="normal">Φ</mml:mi><mml:mi>u</mml:mi><mml:mi>k</mml:mi></mml:msubsup><mml:mo>+</mml:mo><mml:msubsup><mml:mi mathvariant="normal">Φ</mml:mi><mml:mi>v</mml:mi><mml:mi>k</mml:mi></mml:msubsup></mml:mrow></mml:math></inline-formula>.</p>
      <p id="d1e770">Since EOF requires the dataset to be free of gaps, the velocity components
were interpolated using the Data Interpolating Empirical Orthogonal
Functions (DINEOF) method presented in Beckers and Rixen (2003), which is
widely used for filling gaps of satellite-derived products
(Alvera-Azcárate et al., 2005) and is suitable to the case of HFR data
(e.g. Hernández-Carrasco et al., 2018; Kokkini et al., 2014). The
DINEOF methodology was performed using unfiltered data, for maps having at
least 75 % of spatial coverage (against 60 % for the mean and SD) to
avoid excessive interpolation. The technique consists in subtracting the
mean values from each time series and substituting the missing values with
zero. Then, an EOF analysis is applied to the demeaned matrix in order to
reconstruct the time series based on EOF modes with the highest variability.
This procedure is performed iteratively, substituting the originally missing
values with the estimated ones. The number of iterations and the number of
modes to be retained are defined based on statistical convergence (achieved
through cross-validation). The final step consists in summing the mean value
back to each time series, which have then no gap.</p>
      <p id="d1e773">The variability of the flow from the coastal region to the off-shelf region (i.e.
the region offshore the 200 m isobath, hereafter) was evaluated along
transects at the western bight, CSM and eastern bight (TrW, TrCSM and TrE,
respectively; thick dotted lines in Fig. 1). Each transect is
approximately perpendicular to the shelf break, which roughly corresponds to
the coastline orientation: TrW and TrCSM are N–S, while TrE is NE–SW. The
flow is represented by its alongshore (<inline-formula><mml:math id="M47" display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">al</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) and cross-shore (<inline-formula><mml:math id="M48" display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">cr</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>)
components, corresponding to <inline-formula><mml:math id="M49" display="inline"><mml:mi>u</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M50" display="inline"><mml:mi>v</mml:mi></mml:math></inline-formula>, respectively, for TrW and TrCSM, and
to <inline-formula><mml:math id="M51" display="inline"><mml:mi>u</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M52" display="inline"><mml:mi>v</mml:mi></mml:math></inline-formula> rotated 30<inline-formula><mml:math id="M53" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> clockwise from east for TrE. The width
(i.e. offshore extent from the coast) of EFs and PFs along the transects
was quantified considering flows with <inline-formula><mml:math id="M54" display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">al</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> of the same sign at the two most
landward nodes, after smoothing out small velocity fluctuations with a
five-node moving average.</p>
      <p id="d1e847">The propagation of EFs and PFs along the coast was evaluated considering <inline-formula><mml:math id="M55" display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">al</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>
at three grid nodes located at a depth of 40 m (W2, C and E3 in Fig. 1). At
these nodes, <inline-formula><mml:math id="M56" display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">al</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> was obtained based on the angle of maximum variance, which
closely corresponds to the nearby coastline orientation, as previously
reported at inner-shelf mooring stations (de Oliveira Júnior et al.,
2021; Garel et al., 2016; Prieto et al., 2009).</p>
</sec>
</sec>
<sec id="Ch1.S4">
  <label>4</label><title>HFR data validation</title>
      <p id="d1e882">ADCP time series at Alvor, Tavira and Cacela stations were compared with HFR
velocities at the nearest grid nodes to estimate the quality of HFR data
near the coast. The selected nodes were located less than 1 km for Cacela
and Tavira (which are both within the HFR coverage area) and at 4 km
southward for Alvor. The other stations were not considered as Armona is
well outside the HFR coverage area (see Fig. 1), and Quarteira records (in
2014–2015; Fig. 2) do not overlap with HFR ones.</p>
      <p id="d1e885">The mean ADCP velocity of the flow components is generally close to 0, while
the SD of <inline-formula><mml:math id="M57" display="inline"><mml:mi>u</mml:mi></mml:math></inline-formula> is 1 order of magnitude larger than <inline-formula><mml:math id="M58" display="inline"><mml:mi>v</mml:mi></mml:math></inline-formula>, confirming that the
coastal flow is mainly alongshore and polarised (Table 1). The HFR
velocities feature similar characteristics, except at the Alvor grid node (where
the mean of <inline-formula><mml:math id="M59" display="inline"><mml:mi>v</mml:mi></mml:math></inline-formula> is larger than the mean of <inline-formula><mml:math id="M60" display="inline"><mml:mi>u</mml:mi></mml:math></inline-formula>) possibly due to the distance
between the HFR node and ADCP station. The deployment at Cacela from
December 2016 to April 2017 illustrates the good correspondence between HFR
and ADCP records and the predominance of the <inline-formula><mml:math id="M61" display="inline"><mml:mi>u</mml:mi></mml:math></inline-formula> flow component (Fig. 4).
Overall, the Spearman correlation coefficient (<inline-formula><mml:math id="M62" display="inline"><mml:mi>R</mml:mi></mml:math></inline-formula>) between HFR and ADCP is
very good (0.92) for <inline-formula><mml:math id="M63" display="inline"><mml:mi>u</mml:mi></mml:math></inline-formula> and poor for the weak <inline-formula><mml:math id="M64" display="inline"><mml:mi>v</mml:mi></mml:math></inline-formula> component (Table 1). The mean
of the differences and the root mean square of the differences (RMSd)
between HFR and ADCP velocities are small (<inline-formula><mml:math id="M65" display="inline"><mml:mo lspace="0mm">≤</mml:mo></mml:math></inline-formula> 0.09 and <inline-formula><mml:math id="M66" display="inline"><mml:mo>≤</mml:mo></mml:math></inline-formula> 0.11 m s<inline-formula><mml:math id="M67" 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> respectively). Large differences up to 0.3 m s<inline-formula><mml:math id="M68" 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>
(Fig. 4a) are episodically observed. Such differences are expected due to
the distinct depth of HFR and ADCP measurements. ADCPs upper measurements
are at 2–4 m below the surface, while the radars measure the surface layer
(<inline-formula><mml:math id="M69" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> 0.5 m below surface), which is more likely affected by wind drag.
Moreover, HFR and ADCP systems have distinct measurement methods (e.g. in
terms of horizontal position, footprint, sampling duration and averaging).
Despite these inherent differences between both equipment, the correlations
between HFR and ADCP velocities support the good quality of the HFR
measurements, in particular near the coast. Furthermore, the present skill
scores are similar to those obtained at regions with flow velocities similar
to the ones at the NMGoC (Lorente et al., 2015).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4"><?xmltex \currentcnt{4}?><?xmltex \def\figurename{Figure}?><label>Figure 4</label><caption><p id="d1e993">Comparison of the flow velocity (m s<inline-formula><mml:math id="M70" 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>) recorded by an ADCP
at Cacela station (red lines) with the velocity at the nearest HFR grid node
(black lines) from December 2016 to April 2017: <bold>(a)</bold> eastward component <inline-formula><mml:math id="M71" display="inline"><mml:mi>u</mml:mi></mml:math></inline-formula> and <bold>(b)</bold> northward component <inline-formula><mml:math id="M72" display="inline"><mml:mi>v</mml:mi></mml:math></inline-formula>.</p></caption>
        <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://os.copernicus.org/articles/18/1183/2022/os-18-1183-2022-f04.png"/>

      </fig>

      <p id="d1e1035">On the shelf, drifter's trajectories were qualitatively compared with HFR
trajectories obtained from a progressive vector diagram (PVD) of unfiltered
velocities. For statistical comparisons with unfiltered HFR data at the
nearest node, the drifter's pseudo-Eulerian velocities were derived from the
distance between pairs of successive drifters' positions, subsampled at the
HFR time, divided by the time interval (1 h).</p>
      <p id="d1e1038">The trajectories of the three drifters presented a general southward
displacement of 31–45 km affected by clockwise inertial rotation (Fig. 1,
grey lines). Such overall drift was fairly reproduced by the PVDs in all
three cases (Fig. 1, black lines), although they remained closer to the shore
than the drifters (in particular when compared with drifter 3). The skill
scores between the drifter-derived and HFR flow components is poorer than
for HFR-ADCP data (Table 1). Discrepancies between HFR and drifter
pseudo-Eulerian velocities are inherent to their distinct acquisition
techniques (e.g. spatial averaging of Eulerian records for HFR against
Lagrangian measurements at a point for the drifters and subsequent
transformation to pseudo-Eulerian velocities), along with the potential wind
drag effect on the emerged part of the drifters. Nevertheless, the results
are within the range of what has been reported as satisfactory in other
studies comparing HFR currents with various types of drifters (Kaplan et
al., 2005; Paduan and Rosenfeld, 1996; Solabarrieta 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="d1e1044">Validation statistics between HFR and in situ (i.e. ADCP, drifter)
measurements of the <inline-formula><mml:math id="M73" display="inline"><mml:mi>u</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M74" display="inline"><mml:mi>v</mml:mi></mml:math></inline-formula> flow components.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="12">
     <oasis:colspec colnum="1" colname="col1" align="justify" colwidth="1.7cm"/>
     <oasis:colspec colnum="2" colname="col2" align="justify" colwidth="1.5cm"/>
     <oasis:colspec colnum="3" colname="col3" align="justify" colwidth="1cm"/>
     <oasis:colspec colnum="4" colname="col4" align="justify" colwidth="1cm"/>
     <oasis:colspec colnum="5" colname="col5" align="justify" colwidth="1cm"/>
     <oasis:colspec colnum="6" colname="col6" align="justify" colwidth="1cm" colsep="1"/>
     <oasis:colspec colnum="7" colname="col7" align="left"/>
     <oasis:colspec colnum="8" colname="col8" align="left" colsep="1"/>
     <oasis:colspec colnum="9" colname="col9" align="justify" colwidth="1cm"/>
     <oasis:colspec colnum="10" colname="col10" align="justify" colwidth="1cm" colsep="1"/>
     <oasis:colspec colnum="11" colname="col11" align="left"/>
     <oasis:colspec colnum="12" colname="col12" align="left"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">In situ</oasis:entry>
         <oasis:entry colname="col2">Period</oasis:entry>
         <oasis:entry namest="col3" nameend="col6" align="center" colsep="1">Mean (SD) in m s<inline-formula><mml:math id="M75" 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 namest="col7" nameend="col8" align="center" colsep="1"><inline-formula><mml:math id="M76" display="inline"><mml:mi>R</mml:mi></mml:math></inline-formula></oasis:entry>
         <oasis:entry namest="col9" nameend="col10" align="center" colsep="1">Mean difference </oasis:entry>
         <oasis:entry namest="col11" nameend="col12" align="center">RMSd </oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">observations</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5"/>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7"/>
         <oasis:entry colname="col8"/>
         <oasis:entry namest="col9" nameend="col10" align="center" colsep="1">(SD) in m s<inline-formula><mml:math id="M77" 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 namest="col11" nameend="col12" align="center">in m s<inline-formula><mml:math id="M78" 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"/>
         <oasis:entry colname="col2"/>
         <oasis:entry rowsep="1" colname="col3"/>
         <oasis:entry rowsep="1" colname="col4"/>
         <oasis:entry rowsep="1" colname="col5"/>
         <oasis:entry rowsep="1" colname="col6"/>
         <oasis:entry rowsep="1" colname="col7"/>
         <oasis:entry rowsep="1" colname="col8"/>
         <oasis:entry rowsep="1" namest="col9" nameend="col10" align="center" colsep="1">In situ–HFR </oasis:entry>
         <oasis:entry rowsep="1" namest="col11" nameend="col12" align="center">In situ–HFR </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M79" display="inline"><mml:mi>u</mml:mi></mml:math></inline-formula> in situ</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M80" display="inline"><mml:mi>v</mml:mi></mml:math></inline-formula> in situ</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M81" display="inline"><mml:mi>u</mml:mi></mml:math></inline-formula> HFR</oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M82" display="inline"><mml:mi>v</mml:mi></mml:math></inline-formula> HFR</oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M83" display="inline"><mml:mi>u</mml:mi></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M84" display="inline"><mml:mi>v</mml:mi></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col9"><inline-formula><mml:math id="M85" display="inline"><mml:mi>u</mml:mi></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col10"><inline-formula><mml:math id="M86" display="inline"><mml:mi>v</mml:mi></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col11"><inline-formula><mml:math id="M87" display="inline"><mml:mi>u</mml:mi></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col12"><inline-formula><mml:math id="M88" display="inline"><mml:mi>v</mml:mi></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">ADCP <?xmltex \hack{\hfill\break}?>Cacela</oasis:entry>
         <oasis:entry rowsep="1" colname="col2">May–Jul 2015</oasis:entry>
         <oasis:entry rowsep="1" colname="col3">0.01 <?xmltex \hack{\hfill\break}?>(0.16)</oasis:entry>
         <oasis:entry rowsep="1" colname="col4">0 <?xmltex \hack{\hfill\break}?>(0.03)</oasis:entry>
         <oasis:entry rowsep="1" colname="col5">0.04 <?xmltex \hack{\hfill\break}?>(0.12)</oasis:entry>
         <oasis:entry rowsep="1" colname="col6"><inline-formula><mml:math id="M89" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.02</mml:mn></mml:mrow></mml:math></inline-formula> <?xmltex \hack{\hfill\break}?>(0.04)</oasis:entry>
         <oasis:entry rowsep="1" colname="col7">0.92</oasis:entry>
         <oasis:entry rowsep="1" colname="col8">0.64</oasis:entry>
         <oasis:entry rowsep="1" colname="col9"><inline-formula><mml:math id="M90" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.03</mml:mn></mml:mrow></mml:math></inline-formula> <?xmltex \hack{\hfill\break}?>(0.06)</oasis:entry>
         <oasis:entry rowsep="1" colname="col10">0.02 <?xmltex \hack{\hfill\break}?>(0.03)</oasis:entry>
         <oasis:entry rowsep="1" colname="col11">0.07</oasis:entry>
         <oasis:entry rowsep="1" colname="col12">0.03</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry rowsep="1" colname="col2">Sep–Dec 2015</oasis:entry>
         <oasis:entry rowsep="1" colname="col3">0 <?xmltex \hack{\hfill\break}?>(0.13)</oasis:entry>
         <oasis:entry rowsep="1" colname="col4">0.01 <?xmltex \hack{\hfill\break}?>(0.03)</oasis:entry>
         <oasis:entry rowsep="1" colname="col5"><inline-formula><mml:math id="M91" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.02</mml:mn></mml:mrow></mml:math></inline-formula> <?xmltex \hack{\hfill\break}?>(0.11)</oasis:entry>
         <oasis:entry rowsep="1" colname="col6">0 <?xmltex \hack{\hfill\break}?>(0.03)</oasis:entry>
         <oasis:entry rowsep="1" colname="col7">0.84</oasis:entry>
         <oasis:entry rowsep="1" colname="col8">0.33</oasis:entry>
         <oasis:entry rowsep="1" colname="col9">0.01 <?xmltex \hack{\hfill\break}?>(0.07)</oasis:entry>
         <oasis:entry rowsep="1" colname="col10">0.01 <?xmltex \hack{\hfill\break}?>(0.04)</oasis:entry>
         <oasis:entry rowsep="1" colname="col11">0.07</oasis:entry>
         <oasis:entry rowsep="1" colname="col12">0.04</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry rowsep="1" colname="col2">Dec 2015– <?xmltex \hack{\hfill\break}?>Mar 2016</oasis:entry>
         <oasis:entry rowsep="1" colname="col3">0.07 <?xmltex \hack{\hfill\break}?>(0.16)</oasis:entry>
         <oasis:entry rowsep="1" colname="col4">0.02 <?xmltex \hack{\hfill\break}?>(0.03)</oasis:entry>
         <oasis:entry rowsep="1" colname="col5">0.08 <?xmltex \hack{\hfill\break}?>(0.15)</oasis:entry>
         <oasis:entry rowsep="1" colname="col6"><inline-formula><mml:math id="M92" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.01</mml:mn></mml:mrow></mml:math></inline-formula> <?xmltex \hack{\hfill\break}?>(0.03)</oasis:entry>
         <oasis:entry rowsep="1" colname="col7">0.94</oasis:entry>
         <oasis:entry rowsep="1" colname="col8">0.19</oasis:entry>
         <oasis:entry rowsep="1" colname="col9"><inline-formula><mml:math id="M93" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.01</mml:mn></mml:mrow></mml:math></inline-formula> <?xmltex \hack{\hfill\break}?>(0.06)</oasis:entry>
         <oasis:entry rowsep="1" colname="col10">0.02 <?xmltex \hack{\hfill\break}?>(0.04)</oasis:entry>
         <oasis:entry rowsep="1" colname="col11">0.06</oasis:entry>
         <oasis:entry rowsep="1" colname="col12">0.05</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry rowsep="1" colname="col2">Dec 2016–<?xmltex \hack{\hfill\break}?>Apr 2017</oasis:entry>
         <oasis:entry rowsep="1" colname="col3">0 <?xmltex \hack{\hfill\break}?>(0.16)</oasis:entry>
         <oasis:entry rowsep="1" colname="col4">0.01 <?xmltex \hack{\hfill\break}?>(0.03)</oasis:entry>
         <oasis:entry rowsep="1" colname="col5">0.01 <?xmltex \hack{\hfill\break}?>(0.15)</oasis:entry>
         <oasis:entry rowsep="1" colname="col6"><inline-formula><mml:math id="M94" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.01</mml:mn></mml:mrow></mml:math></inline-formula> <?xmltex \hack{\hfill\break}?>(0.04)</oasis:entry>
         <oasis:entry rowsep="1" colname="col7">0.93</oasis:entry>
         <oasis:entry rowsep="1" colname="col8">0.04</oasis:entry>
         <oasis:entry rowsep="1" colname="col9"><inline-formula><mml:math id="M95" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.01</mml:mn></mml:mrow></mml:math></inline-formula> <?xmltex \hack{\hfill\break}?>(0.06)</oasis:entry>
         <oasis:entry rowsep="1" colname="col10">0.02 <?xmltex \hack{\hfill\break}?>(0.05)</oasis:entry>
         <oasis:entry rowsep="1" colname="col11">0.07</oasis:entry>
         <oasis:entry rowsep="1" colname="col12">0.05</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">May–Nov 2017</oasis:entry>
         <oasis:entry colname="col3">0.02 <?xmltex \hack{\hfill\break}?>(0.14)</oasis:entry>
         <oasis:entry colname="col4">0.01 <?xmltex \hack{\hfill\break}?>(0.03)</oasis:entry>
         <oasis:entry colname="col5">0.05 <?xmltex \hack{\hfill\break}?>(0.12)</oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M96" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.01</mml:mn></mml:mrow></mml:math></inline-formula> <?xmltex \hack{\hfill\break}?>(0.03)</oasis:entry>
         <oasis:entry colname="col7">0.91</oasis:entry>
         <oasis:entry colname="col8">0.38</oasis:entry>
         <oasis:entry colname="col9"><inline-formula><mml:math id="M97" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.03</mml:mn></mml:mrow></mml:math></inline-formula> <?xmltex \hack{\hfill\break}?>(0.06)</oasis:entry>
         <oasis:entry colname="col10">0.02 <?xmltex \hack{\hfill\break}?>(0.04)</oasis:entry>
         <oasis:entry colname="col11">0.07</oasis:entry>
         <oasis:entry colname="col12">0.04</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">ADCP <?xmltex \hack{\hfill\break}?>Alvor</oasis:entry>
         <oasis:entry rowsep="1" colname="col2">May–Aug 2016</oasis:entry>
         <oasis:entry rowsep="1" colname="col3"><inline-formula><mml:math id="M98" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.03</mml:mn></mml:mrow></mml:math></inline-formula> <?xmltex \hack{\hfill\break}?>(0.09)</oasis:entry>
         <oasis:entry rowsep="1" colname="col4"><inline-formula><mml:math id="M99" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.01</mml:mn></mml:mrow></mml:math></inline-formula> <?xmltex \hack{\hfill\break}?>(0.02)</oasis:entry>
         <oasis:entry rowsep="1" colname="col5"><inline-formula><mml:math id="M100" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.06</mml:mn></mml:mrow></mml:math></inline-formula> <?xmltex \hack{\hfill\break}?>(0.15)</oasis:entry>
         <oasis:entry rowsep="1" colname="col6"><inline-formula><mml:math id="M101" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.10</mml:mn></mml:mrow></mml:math></inline-formula> <?xmltex \hack{\hfill\break}?>(0.06)</oasis:entry>
         <oasis:entry rowsep="1" colname="col7">0.68</oasis:entry>
         <oasis:entry rowsep="1" colname="col8">0.14</oasis:entry>
         <oasis:entry rowsep="1" colname="col9">0.03 <?xmltex \hack{\hfill\break}?>(0.1)</oasis:entry>
         <oasis:entry rowsep="1" colname="col10">0.09 <?xmltex \hack{\hfill\break}?>(0.06)</oasis:entry>
         <oasis:entry rowsep="1" colname="col11">0.11</oasis:entry>
         <oasis:entry rowsep="1" colname="col12">0.11</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">Aug–Sep 2017</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M102" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.03</mml:mn></mml:mrow></mml:math></inline-formula> <?xmltex \hack{\hfill\break}?>(0.09)</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M103" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.02</mml:mn></mml:mrow></mml:math></inline-formula> <?xmltex \hack{\hfill\break}?>(0.03)</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M104" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.02</mml:mn></mml:mrow></mml:math></inline-formula> <?xmltex \hack{\hfill\break}?>(0.1)</oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M105" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.06</mml:mn></mml:mrow></mml:math></inline-formula> <?xmltex \hack{\hfill\break}?>(0.04)</oasis:entry>
         <oasis:entry colname="col7">0.61</oasis:entry>
         <oasis:entry colname="col8">0.31</oasis:entry>
         <oasis:entry colname="col9"><inline-formula><mml:math id="M106" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.01</mml:mn></mml:mrow></mml:math></inline-formula> <?xmltex \hack{\hfill\break}?>(0.08)</oasis:entry>
         <oasis:entry colname="col10">0.04 <?xmltex \hack{\hfill\break}?>(0.04)</oasis:entry>
         <oasis:entry colname="col11">0.08</oasis:entry>
         <oasis:entry colname="col12">0.06</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">ADCP <?xmltex \hack{\hfill\break}?>Tavira</oasis:entry>
         <oasis:entry colname="col2">Apr–Jul 2014</oasis:entry>
         <oasis:entry colname="col3">0.03 <?xmltex \hack{\hfill\break}?>(0.15)</oasis:entry>
         <oasis:entry colname="col4">0.01 <?xmltex \hack{\hfill\break}?>(0.07)</oasis:entry>
         <oasis:entry colname="col5">0.08 <?xmltex \hack{\hfill\break}?>(0.14)</oasis:entry>
         <oasis:entry colname="col6">0.01 <?xmltex \hack{\hfill\break}?>(0.09)</oasis:entry>
         <oasis:entry colname="col7">0.88</oasis:entry>
         <oasis:entry colname="col8">0.31</oasis:entry>
         <oasis:entry colname="col9"><inline-formula><mml:math id="M107" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.05</mml:mn></mml:mrow></mml:math></inline-formula> <?xmltex \hack{\hfill\break}?>(0.07)</oasis:entry>
         <oasis:entry colname="col10">0.01 <?xmltex \hack{\hfill\break}?>(0.09)</oasis:entry>
         <oasis:entry colname="col11">0.09</oasis:entry>
         <oasis:entry colname="col12">0.09</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Drifter 1</oasis:entry>
         <oasis:entry colname="col2">May 2013</oasis:entry>
         <oasis:entry colname="col3">0.08 <?xmltex \hack{\hfill\break}?>(0.23)</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M108" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.23</mml:mn></mml:mrow></mml:math></inline-formula> <?xmltex \hack{\hfill\break}?>(0.31)</oasis:entry>
         <oasis:entry colname="col5">0.01 <?xmltex \hack{\hfill\break}?>(0.21)</oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M109" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.09</mml:mn></mml:mrow></mml:math></inline-formula> <?xmltex \hack{\hfill\break}?>(0.17)</oasis:entry>
         <oasis:entry colname="col7">0.86</oasis:entry>
         <oasis:entry colname="col8">0.90</oasis:entry>
         <oasis:entry colname="col9">0.07 <?xmltex \hack{\hfill\break}?>(0.09)</oasis:entry>
         <oasis:entry colname="col10"><inline-formula><mml:math id="M110" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.13</mml:mn></mml:mrow></mml:math></inline-formula> <?xmltex \hack{\hfill\break}?>(0.18)</oasis:entry>
         <oasis:entry colname="col11">0.12</oasis:entry>
         <oasis:entry colname="col12">0.23</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Drifter 2</oasis:entry>
         <oasis:entry colname="col2">May 2013</oasis:entry>
         <oasis:entry colname="col3">0.12 <?xmltex \hack{\hfill\break}?>(0.21)</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M111" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.29</mml:mn></mml:mrow></mml:math></inline-formula> <?xmltex \hack{\hfill\break}?>(0.24)</oasis:entry>
         <oasis:entry colname="col5">0.04 <?xmltex \hack{\hfill\break}?>(0.15)</oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M112" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.18</mml:mn></mml:mrow></mml:math></inline-formula> <?xmltex \hack{\hfill\break}?>(0.15)</oasis:entry>
         <oasis:entry colname="col7">0.87</oasis:entry>
         <oasis:entry colname="col8">0.84</oasis:entry>
         <oasis:entry colname="col9">0.08 <?xmltex \hack{\hfill\break}?>(0.12)</oasis:entry>
         <oasis:entry colname="col10"><inline-formula><mml:math id="M113" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.11</mml:mn></mml:mrow></mml:math></inline-formula> <?xmltex \hack{\hfill\break}?>(0.14)</oasis:entry>
         <oasis:entry colname="col11">0.14</oasis:entry>
         <oasis:entry colname="col12">0.17</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Drifter 3</oasis:entry>
         <oasis:entry colname="col2">May 2013</oasis:entry>
         <oasis:entry colname="col3">0.11 <?xmltex \hack{\hfill\break}?>(0.24)</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M114" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.17</mml:mn></mml:mrow></mml:math></inline-formula> <?xmltex \hack{\hfill\break}?>(0.22)</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M115" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.03</mml:mn></mml:mrow></mml:math></inline-formula> <?xmltex \hack{\hfill\break}?>(0.17)</oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M116" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.07</mml:mn></mml:mrow></mml:math></inline-formula> <?xmltex \hack{\hfill\break}?>(0.1)</oasis:entry>
         <oasis:entry colname="col7">0.96</oasis:entry>
         <oasis:entry colname="col8">0.66</oasis:entry>
         <oasis:entry colname="col9">0.14 <?xmltex \hack{\hfill\break}?>(0.11)</oasis:entry>
         <oasis:entry colname="col10"><inline-formula><mml:math id="M117" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.09</mml:mn></mml:mrow></mml:math></inline-formula> <?xmltex \hack{\hfill\break}?>(0.17)</oasis:entry>
         <oasis:entry colname="col11">0.18</oasis:entry>
         <oasis:entry colname="col12">0.19</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

</sec>
<sec id="Ch1.S5">
  <label>5</label><title>Results</title>
<sec id="Ch1.S5.SS1">
  <label>5.1</label><title>Mean circulation</title>
      <p id="d1e2169">HFR mean velocities are broadly oriented southeastward over the study area
(Fig. 5a). This direction generally corresponds to the main variability of
the SD (see the elongated ellipses with northwest–southeast orientation in
Fig. 5b), indicating the predominance of southeastward currents through
time. At off-shelf regions where the current direction varies importantly,
in particular between 8<inline-formula><mml:math id="M118" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>10<inline-formula><mml:math id="M119" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> W and 8<inline-formula><mml:math id="M120" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>20<inline-formula><mml:math id="M121" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> W and between
7<inline-formula><mml:math id="M122" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>15<inline-formula><mml:math id="M123" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> W and 7<inline-formula><mml:math id="M124" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>30<inline-formula><mml:math id="M125" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> W (see rounded ellipses and areas with
dark blue colours in Fig. 5b), the mean currents remain southeastward. West of 8<inline-formula><mml:math id="M126" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>45<inline-formula><mml:math id="M127" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> W, mean currents are towards the south and southwest
but vary principally along the northwest–southeast direction. This region is
also characterised by strong velocities (see the large SD ellipses in
Fig. 5b). It is noted that some rays emanating from the HFR antennas
feature regions with lower eccentricity than the surroundings, suggesting a
slight underestimation of one of the flow components.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5"><?xmltex \currentcnt{5}?><?xmltex \def\figurename{Figure}?><label>Figure 5</label><caption><p id="d1e2265">Mean HFR surface velocities <bold>(a)</bold> and SD ellipses and eccentricity
<bold>(b)</bold> for the period February 2016–October 2020. For clarity, the ellipses
and arrows are represented every three grid nodes. The mean velocity and SD
ellipses of ADCP data for the deployment periods and stations indicated in
Fig. 2 are shown in red. The locations of the HFR antennas are indicated
with green stars.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://os.copernicus.org/articles/18/1183/2022/os-18-1183-2022-f05.png"/>

        </fig>

      <p id="d1e2280">The main feature revealed in the mean flow is a zonal band with strong
velocities (from 0.075 up to 0.15 m s<inline-formula><mml:math id="M128" 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>), elongating
east–west across the whole study area (between 36<inline-formula><mml:math id="M129" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>30<inline-formula><mml:math id="M130" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> N and
36<inline-formula><mml:math id="M131" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>55<inline-formula><mml:math id="M132" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> N, broadly). This region of intensified mean currents
(RIMC, hereafter) includes the shelf slope. At the western bight, the RIMC
is broader and presents greater velocities than at the eastern bight; the
southeastward mean currents are oblique with respect to the (east–west)
shelf break orientation. The mean flow at the RIMC rotates cyclonically near
CSV and is aligned with the shelf slope isobaths at the eastern bight due to
the predominance of along-slope currents, as indicated by the SD ellipse
orientations.</p>
      <p id="d1e2332">A well-defined region of high eccentricity values is observed near the coast
(dark red in Fig. 5b), except in front of CSM. These elongated SD
ellipses result from the dominance of alongshore currents. The eccentricity
is close to a value of 1 at coastal regions where the grid nodes and antennas are
aligned (e.g. near CSV), due to an underestimation of the orthogonal
velocity component (which does not challenge the observed overall
predominance of alongshore flows). The mean coastal flow velocity is
generally <inline-formula><mml:math id="M133" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 0.05 m s<inline-formula><mml:math id="M134" 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 equatorward, being poleward only
near CSV (Fig. 5a). This pattern is consistent with the mean ADCP
velocities, which are all alongshore and equatorward, except at Alvor
station where it is poleward (see red arrows and red ellipses in Fig. 5).
However, considering the <inline-formula><mml:math id="M135" display="inline"><mml:mi>u</mml:mi></mml:math></inline-formula> component at the seven selected nodes on the shelf
(for location, see Fig. 1), the relative occurrence of EFs and PFs is
balanced, except near CSM and its western flank (Table 2). The strongest
mean velocities are observed at the capes (about 0.10 m s<inline-formula><mml:math id="M136" 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> at CSM and
0.15 m s<inline-formula><mml:math id="M137" 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> at CSV) and also near 8<inline-formula><mml:math id="M138" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>40<inline-formula><mml:math id="M139" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> W over the mid-shelf
where the flow is offshore (southward). Finally, the shelf between the
Guadiana and Tinto–Odiel river mouths is characterised by variable flow
directions with balanced magnitude, resulting in the weakest mean flow in
the study area (<inline-formula><mml:math id="M140" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> 0.025 m s<inline-formula><mml:math id="M141" 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 SD <inline-formula><mml:math id="M142" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.15 m s<inline-formula><mml:math id="M143" 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
detail, the SD ellipses are elongated alongshore near the coast and along
the slope at the shelf break but feature a significant cross-shelf component
in between.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2"><?xmltex \currentcnt{2}?><label>Table 2</label><caption><p id="d1e2445">Percentage of occurrence between the eastern (<inline-formula><mml:math id="M144" display="inline"><mml:mi>u</mml:mi></mml:math></inline-formula>) component of
eastward and westward flows at the selected nodes.</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.93}[.93]?><oasis:tgroup cols="8">
     <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:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">W1</oasis:entry>
         <oasis:entry colname="col3">W2</oasis:entry>
         <oasis:entry colname="col4">W3</oasis:entry>
         <oasis:entry colname="col5">C</oasis:entry>
         <oasis:entry colname="col6">E1</oasis:entry>
         <oasis:entry colname="col7">E2</oasis:entry>
         <oasis:entry colname="col8">E3</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Eastward</oasis:entry>
         <oasis:entry colname="col2">48 %</oasis:entry>
         <oasis:entry colname="col3">59 %</oasis:entry>
         <oasis:entry colname="col4">80 %</oasis:entry>
         <oasis:entry colname="col5">77 %</oasis:entry>
         <oasis:entry colname="col6">60 %</oasis:entry>
         <oasis:entry colname="col7">52 %</oasis:entry>
         <oasis:entry colname="col8">59 %</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Westward</oasis:entry>
         <oasis:entry colname="col2">52 %</oasis:entry>
         <oasis:entry colname="col3">41 %</oasis:entry>
         <oasis:entry colname="col4">20 %</oasis:entry>
         <oasis:entry colname="col5">23 %</oasis:entry>
         <oasis:entry colname="col6">40 %</oasis:entry>
         <oasis:entry colname="col7">48 %</oasis:entry>
         <oasis:entry colname="col8">41 %</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table></table-wrap>

</sec>
<sec id="Ch1.S5.SS2">
  <label>5.2</label><title>Seasonal variability</title>
      <p id="d1e2574">The overall mean current direction and SD patterns (Fig. 5) remain
similar for all seasons, including the coastal alongshore flow delineated by
low eccentricity values (Fig. 6). Seasonality is mainly observed in terms
of velocity magnitude at the RIMC over the western bight (Fig. 6a–d).
There, the RIMC evolves from a narrow (zonal) band with relatively weak mean
currents in winter to a wide band (extending significantly off-shelf) of
strong mean velocities (up to 0.2 m s<inline-formula><mml:math id="M145" 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 summer. Spring corresponds
to an intermediate situation between winter and summer. In autumn, mean
currents are the weakest (generally <inline-formula><mml:math id="M146" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.075 m s<inline-formula><mml:math id="M147" 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 the RIMC
is poorly expressed.</p>
      <p id="d1e2608">Over the shelf, the mean currents are dominantly towards the SE in winter
and spring (Fig. 6a, b). In summer and autumn, they describe a cyclonic
pattern from CSV (southwestward) to CSM (southeastward; Fig. 6c, d). The
shelf region with strong southward velocity near 8<inline-formula><mml:math id="M148" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>40<inline-formula><mml:math id="M149" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> W (Fig. 5) is best defined in summer. For all seasons, the largest variability on
the shelf (SD <inline-formula><mml:math id="M150" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 0.2 m s<inline-formula><mml:math id="M151" 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>) corresponds to EFs at the
western flank of CSM (Fig. 6e–h). By contrast, the mean currents over the
east margin (including the RIMC) have a relatively constant magnitude and
direction for all seasons. It is noted that the cross-shelf component is
enhanced at the eastern limit of the study area.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><?xmltex \currentcnt{6}?><?xmltex \def\figurename{Figure}?><label>Figure 6</label><caption><p id="d1e2650">Seasonal mean HFR currents and standard deviation with
eccentricity as colour maps in <bold>(a, e)</bold> winter, <bold>(b, f)</bold> spring, <bold>(c, g)</bold> summer
and <bold>(d, h)</bold> autumn for the period February 2016–October 2020. For clarity,
the ellipses and arrows are represented every four grid nodes.</p></caption>
          <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://os.copernicus.org/articles/18/1183/2022/os-18-1183-2022-f06.png"/>

        </fig>

</sec>
<sec id="Ch1.S5.SS3">
  <label>5.3</label><title>Main circulation patterns</title>
      <p id="d1e2679">Modes 1 and 2 of the complex EOF analysis account for 59 % of the data
variability (47 % and 12 %, respectively). The other modes explain no
more than 6 % each. The dominant spatial pattern described by mode 1
corresponds to EFs over the inner-shelf and southeastward flows offshore
having maximum amplitude south of CSV (Fig. 7a). Exceptions to this
general pattern occur west of CSM (southward shelf flows) and from the
Guadiana to the Tinto and Odiel river mouths (cyclonic rotation of the coastal
flow). Mode 1 circulation is relatively constant through time, as its phase
is generally close to 0 (Fig. 7c). For example, it is between
<inline-formula><mml:math id="M152" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">25</mml:mn></mml:mrow></mml:math></inline-formula> and 25<inline-formula><mml:math id="M153" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> 47 % of the time, in particular in
spring and summer (70 %); at that time, the amplitude is also the highest
(as illustrated by the low-pass-filtered time series in Fig. 7d),
denoting a more vigorous circulation than in autumn and winter. Reversals of
spatial mode 1 occur during any season but are relatively rare, the phase
being between 155 and 205<inline-formula><mml:math id="M154" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> 9 % of the time,
only (Fig. 7c, d).</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="d1e2712">Results of the complex EOF analyses: spatial modes 1 <bold>(a)</bold> and 2 <bold>(b)</bold> and temporal modes 1 (<bold>c</bold>: phase, <bold>d</bold>: amplitude) and 2 (<bold>e</bold>: phase, <bold>f</bold>: amplitude). The reconstructed velocity for each mode corresponds to the
local spatial value multiplied by the dimensionless amplitude and rotated respective phase angle. For clarity, arrows are represented every three
grid nodes. The ticks on the <inline-formula><mml:math id="M155" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula> axes indicate the beginning of spring and
autumn. The blue line in <bold>(d)</bold> and <bold>(f)</bold> represents the low-pass-filtered time
series with a cut-off period of 6 months.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://os.copernicus.org/articles/18/1183/2022/os-18-1183-2022-f07.png"/>

        </fig>

      <p id="d1e2753">Mode 2 describes a more variable circulation, both spatially and temporally,
than mode 1 (Fig. 7b). Velocity amplitudes are greatest over the shelf
(except for the offshore area south of CSV, as for mode 1). At the
western bight, the circulation features a cyclonic cell, about 70 km in
diameter, characterised by strong PFs near the coast that recirculate
offshore near CSV to merge with the region of maximum amplitude offshore.
This circulation pattern occurs mainly (64 %) in summer and in autumn,
when the phase is dominantly between <inline-formula><mml:math id="M156" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">25</mml:mn></mml:mrow></mml:math></inline-formula> and 25<inline-formula><mml:math id="M157" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>
(Fig. 7e). PFs are comparatively weaker at the eastern shelf and are best
observed on the outer shelf rather than inner shelf. Of note is that this flow
goes around CSM, thus connecting both shelves. Mode 2 is often out of phase,
being for example between 155 and 205<inline-formula><mml:math id="M158" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> 48 % of
the whole time series (against 19 % of the time between <inline-formula><mml:math id="M159" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">25</mml:mn></mml:mrow></mml:math></inline-formula> and
25<inline-formula><mml:math id="M160" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>) and up to 60 % in winter and spring. For approximately
30 % of these “out-of-phase” events in winter and spring, mode 1 is in
phase. Therefore, both modes contribute to the development of strong EFs over
the shelf and southeastward flows further offshore.</p>
      <p id="d1e2804">It is noted that the EOF results remain similar with unfiltered data. In
particular, the spatial patterns of modes 1 and 2 are similar to
filtered data, and the explained variability is 42 % and 9.4 %
respectively.</p>
</sec>
<sec id="Ch1.S5.SS4">
  <label>5.4</label><title>Flow variability</title>
      <p id="d1e2815">The Hovmöller diagrams of currents at transects TrW, TrCSM and TrE show
that the alongshore component is generally stronger than the cross-shore one
(Fig. 8; see Fig. 1 for transect locations). Both components tend also
to be weakest at TrE (Fig. 8e, f), as previously observed at the eastern
bight on the mean and SD maps (see Figs. 5 and 6). Coastal PFs are often
restricted to the shelf, i.e. up to the 200 m isobath (indicated with black
horizontal lines in Fig. 8). By contrast, EFs tend to occupy the entire
transects' length, especially at TrW and TrCSM. The analysis of coastal
flows' width (i.e. cross-shore extension from land) confirms this pattern:
60 %–70 % of PFs extend up to the shelf break (Fig. 9a, c, e), while EFs
extend dominantly up to the offshore limit of each transect (Fig. 9b, d,
f). Cross-shore velocities are predominantly directed offshore (orange in
Fig. 8). Onshore flows (green in Fig. 8) may occur in any season, the
strongest events often being associated with strong PFs (red in Fig. 8)
along the whole transect (such as in March–June 2017) corresponding to
periods of north-westward flows over the study area.</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="d1e2820">Hovmöller diagram of <inline-formula><mml:math id="M161" display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">al</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> <bold>(a, c, e)</bold> and <inline-formula><mml:math id="M162" display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">cr</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> <bold>(b, d, f)</bold>
extracted at transects TrW, TrCSM and TrE, from 3 February 2016 to 1 September 2017. Equatorward and poleward velocities are represented in blue
and red, respectively; onshore and offshore velocities are represented in
green and orange, respectively. Black contours indicate <inline-formula><mml:math id="M163" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.15 m s<inline-formula><mml:math id="M164" 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 200 m isobath is indicated as a black horizontal line. Major
ticks on <inline-formula><mml:math id="M165" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula> axes represent the first day of the indicated month, and minor
ticks represent 1-week intervals.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://os.copernicus.org/articles/18/1183/2022/os-18-1183-2022-f08.png"/>

        </fig>

      <?xmltex \floatpos{p}?><fig id="Ch1.F9"><?xmltex \currentcnt{9}?><?xmltex \def\figurename{Figure}?><label>Figure 9</label><caption><p id="d1e2886">Percentage of the offshore extent (from the coast) of alongshore
flows (PF: red; EF: blue) at transects TrW <bold>(a–b)</bold>, TrCSM <bold>(c–d)</bold> and TrE <bold>(e–f)</bold>.
Each bar represents the distance from the coast, and bar thickness indicates
the percentage. The along-transect bathymetry is represented as a black
line.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://os.copernicus.org/articles/18/1183/2022/os-18-1183-2022-f09.png"/>

        </fig>

      <p id="d1e2905">At TrW, strong offshore flows (<inline-formula><mml:math id="M166" display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">cr</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> up to 0.5 m s<inline-formula><mml:math id="M167" 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>) are observed
over the shelf in summer and autumn (e.g. see summer 2016 in Fig. 8b).
During these events, <inline-formula><mml:math id="M168" display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">al</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is mainly poleward over the shelf and
equatorward further offshore, in agreement with the cyclonic pattern
described by EOF mode 2 (also in summer and autumn) over this region (see
Fig. 7b, e–f). Similar observations at TrCSM also suggest an episodic
cyclonic recirculation of coastal PFs in front of CSM (e.g. end of summer
2017 in Fig. 8c, d).</p><?xmltex \hack{\newpage}?>
</sec>
</sec>
<sec id="Ch1.S6">
  <label>6</label><title>Discussion</title>
<sec id="Ch1.S6.SS1">
  <label>6.1</label><title>Slope current</title>
      <p id="d1e2959">The present analysis of HFR subtidal currents shows that the mean surface
circulation at the NMGoC is southeastward and strongest over the slope at
the so-called RIMC (Figs. 5 and 6). Previous surveys have directly
measured strong currents oriented along the slope with magnitude (0.15–0.2 m s<inline-formula><mml:math id="M169" 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>) similar to the present observations (e.g. Fig. 8; Cravo et
al., 2013; Criado-Aldeanueva et al., 2009, 2006; García-Lafuente et
al., 2006; García Lafuente and Ruiz, 2007; Peliz et al., 2009; Relvas
and Barton, 2005). This current is a prominent feature of the spring–summer
climatological geostrophic circulation (Sánchez and Relvas, 2003).
Numerical modelling also predicts a temporally persistent slope current, the
GCC, with equivalent magnitude in the upper layer (Peliz et al., 2014, 2009,
2007).</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F10" specific-use="star"><?xmltex \currentcnt{10}?><?xmltex \def\figurename{Figure}?><label>Figure 10</label><caption><p id="d1e2976">Hovmöller diagram of <bold>(a)</bold> magnitude and <bold>(b)</bold> directions of
currents at transect TrW; <bold>(c)</bold> zonal (blue line) and meridional (black line)
of sub-inertial ERA5 wind (<uri>https://cds.climate.copernicus.eu</uri>, last access: 18 September 2021) extracted at
36<inline-formula><mml:math id="M170" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>45<inline-formula><mml:math id="M171" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> N, 8<inline-formula><mml:math id="M172" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>30<inline-formula><mml:math id="M173" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> W along with the phase of EOF mode 1 (red
points). Dashed vertical lines indicate the day of each of the SST maps
represented in Fig. 11. Major ticks on <inline-formula><mml:math id="M174" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula> axes represent the first day of
the indicated month, and minor ticks represent 1-week intervals.</p></caption>
          <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://os.copernicus.org/articles/18/1183/2022/os-18-1183-2022-f10.png"/>

        </fig>

      <p id="d1e3041"><?xmltex \hack{\newpage}?>The mean HFR flow at the RIMC rigorously follows the slope at the eastern
bight, in agreement with previous studies, but not west where it is
oblique to the shelf break orientation. Yet, along shelf (i.e. eastward)
currents develop frequently at the western bight, as indicated by the flow
directional distribution (see the east–west-elongated SD ellipses in Fig. 5b). It is noted that the off-shelf flow variability is greatest at the
western border of the GoC (Fig. 7a, b), the region most exposed to
north-westerlies. The predominance of north-westerlies during the upwelling
season (de Oliveira Júnior et al., 2021; Garel et al., 2016; Sánchez
et al., 2007; Sánchez and Relvas, 2003) corresponds to a modulation of
the slope circulation, which is stronger and broader and has the largest main
variability in summer (Figs. 6; 7d, blue line). To evaluate the
effect of the wind on the off-shelf circulation, the ERA5 subtidal wind at
36<inline-formula><mml:math id="M175" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>45<inline-formula><mml:math id="M176" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> N, 8<inline-formula><mml:math id="M177" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>30<inline-formula><mml:math id="M178" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> W (see Fig. 1) is compared with the
velocity along TrW in February–October 2017 (Fig. 10). In Fig. 10b, the
colour scale of the flow direction is designed to highlight along-slope
flows (i.e. eastward, in dark blue), southeast flows (light blue) and
broadly westward flows (red). In winter, the slope current alternates
frequently with periods of westward circulation over the entire margin
associated with Levanter wind (Fig. 10b, c). In summer, north-westerlies
dominate (Fig. 10c), and the off-shelf flow is strong (dark green in
Fig. 10a); the slope current (dark blue) is shifted offshore and often
rotated to the southeast (light blue) along the wind direction. It is noted
that the southeastward circulation over the western margin associated with
strong north-westerlies is very similar to the mean circulation (compare
Fig. 5a with the example of Fig. 11a whose wind conditions are indicated
in Fig. 10c). The wind conditions that allow the development of the
(eastward) along-slope surface flow are not clear. However, these
observations show that north-westerlies tend to deflect the
surface slope current measured by HFR clockwise, as reported in other areas exposed to
strong wind (e.g. Lipa et al., 2014).</p>
      <p id="d1e3082">At the eastern bight, CTD and SST observations suggest that the slope
current constitutes the northern branch of a persistent large-scale
anticyclonic cell (Sánchez and Relvas, 2003; Vargas et al., 2003). The
HFR data coverage is too limited offshore to map such an eddy. However, such
recirculation is consistent with the strong enhancement of the cross-shelf
flow component that was reported at the eastern limit of the study area
(Figs. 5a and 6a–d).</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F11" specific-use="star"><?xmltex \currentcnt{11}?><?xmltex \def\figurename{Figure}?><label>Figure 11</label><caption><p id="d1e3087">SST from VIIRS-SNPP (<uri>https://oceandata.sci.gsfc.nasa.gov</uri>, last access: 15 November 2021) and HFR subtidal surface currents (as
arrows, the scale of which is indicated in <bold>f</bold>). For clarity, arrows are
represented every four grid nodes.</p></caption>
          <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://os.copernicus.org/articles/18/1183/2022/os-18-1183-2022-f11.png"/>

        </fig>

      <p id="d1e3102">The CTD and SST data indicate that the slope current has a relatively low
temperature and salinity in spring–summer, typical of upwelled Atlantic
waters in the GoC (Fiúza, 1983; Folkard et al., 1997; Relvas and Barton,
2002; Sánchez and Relvas, 2003; Vargas et al., 2003; see also the SST in
Fig. 11). Coastal upwelling produced by Ekman transport under favourable
local wind is often cited as the driver of the geostrophic jet over the
slope, similar to the southward jet observed along the west Iberian coast
(Relvas and Barton, 2002; Sánchez and Relvas, 2003). It has also been
observed that the latter southward jet turns cyclonically at CSV due to
conservation of potential vorticity and progresses eastward towards the
Strait of Gibraltar, merging with locally upwelled water
(García-Lafuente et al., 2006; Relvas and Barton, 2002; Sánchez and
Relvas, 2003). In addition, wind stress curl produced at CSV is expected to
affect the water circulation at the western bight during the upwelling
season (Criado-Aldeanueva et al., 2006; García-Lafuente et al., 2006;
Sánchez-Leal et al., 2020; Sánchez et al., 2007, 2006; Sánchez
and Relvas, 2003), when northerlies are most frequent and intense over the
west Iberian coast (Alvarez et al., 2008; Fiúza et al., 1982; Leitão
et al., 2018). According to Castelao and Barth (2007), a geostrophic
equatorward jet must develop offshore of the curl maxima as a response to
Ekman pumping. Satellite observations in spring and summer indicate that the
(monthly and seasonal) mean curl maxima may reach as south as 36<inline-formula><mml:math id="M179" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N over the western bight (Alvarez et al., 2008; Castelao and Luo, 2018;
Criado-Aldeanueva et al., 2006; Sánchez and Relvas, 2003), in agreement
with the southward extent of the RIMC during these seasons (Fig. 6b–c).
These processes may contribute to the development of the slope flow at the
NMGoC during the upwelling season. Local upwelling in winter is also
expected due to the eastward migration of the Azores high-pressure cell,
promoting westerlies over the GoC (Chase, 1951). Furthermore, numerical
modelling simulations suggested that part of the Atlantic water is entrained
by the denser Mediterranean outflow below, producing a slope current due to
mass conservation (Kida et al., 2008; Peliz et al., 2009, 2007). Since water
exchange in the Strait of Gibraltar is continuous (García-Lafuente et
al., 2021, 2011), this mechanism could
contribute to the observation of a slope current throughout the year, as
reported in the present study.</p>
      <p id="d1e3114">Long-term (11 years) ADCP records at a sub-monthly timescale (i.e.
low-pass filtered with a cut-off period of 40 d) over the eastern shelf
slope (45 km southeastward from TrE at 450 m water depth) show that
reversals of southeastward flows are wind-driven (Criado-Aldeanueva et al.,
2009). “Levanter” wind events typically blow northwestward at the study
area without clear seasonality (de Oliveira Júnior et al., 2021; Losada,
1999; Ribas-Ribas et al., 2011). As exemplified in winter 2017, the
southeastward circulation over the entire NMGoC reverses during these
(strong) events (see red in Fig. 10b). In addition, the circulation
described by EOF mode 1 when the phase is close to 180<inline-formula><mml:math id="M180" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> (see
Fig. 7) is remarkably associated with strong Levanters (Fig. 10c),
indicating the reversal of the main flow pattern over the NMGoC. These
events correspond to the <inline-formula><mml:math id="M181" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 10 % of PFs occupying the entire
margin in Fig. 9a, c and e and generally occur when the eastern component of
ERA5 wind in the area is greater than 10 m s<inline-formula><mml:math id="M182" 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>, approximately (not
shown).</p>
</sec>
<sec id="Ch1.S6.SS2">
  <label>6.2</label><title>Shelf circulation</title>
      <p id="d1e3153">The HFR and ADCP data analyses show that subtidal coastal currents are
polarised in the alongshore direction at the NMGoC (Figs. 4, 5, 7 and
Table 2), generalising similar findings from a few ADCP mooring sites at the
eastern bight (de Oliveira Júnior et al., 2021; Garel et al., 2016;
Prieto et al., 2009). EOF modes 1 and 2 indicate that the circulation is
generally a regional feature, continuous along the coast (Fig. 7). This
coastal circulation pattern opposes the frequent disruption of PFs near CSM
proposed by García-Lafuente et al. (2006), whose study is often cited in the
literature (e.g. Casaucao et al., 2021; de Castro et al., 2017; Hanebuth et
al., 2018; Mestdagh et al., 2020; Mulero-Martínez et al., 2021; Navarro
et al., 2013). In agreement with García-Lafuente et al. (2006), the
connection between PFs at both bights is not always clear (e.g. Fig. 11).
Comparison of the alongshore flow at various shelf locations, as exemplified
in Fig. 12, suggests that the PF circulation is continuous for relatively
strong velocities (<inline-formula><mml:math id="M183" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 0.1 m s<inline-formula><mml:math id="M184" 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>). Conditioned mean maps
based on the alongshore velocity at W2 show that PFs are continuous for <inline-formula><mml:math id="M185" display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">al</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M186" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 0.1 m s<inline-formula><mml:math id="M187" 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> (Fig. 13a, b). By contrast, EFs are always
continuous (Fig. 13c, d). Clearly, the setup of PFs at CSM occurs when
these flows are well developed at the adjacent bights. This delay (see 7 and
19 April 2017 in Fig. 12) explains the predominance of EFs at CSM,
while EFs and PFs are balanced elsewhere (Table 2) as previously observed at
Armona station (Garel et al., 2016). The delay is possibly due to
cape-induced bathymetric and geographic effects (e.g. Gan and Allen, 2002).
In particular, the slope current is very close to the coastline near CSM. In
detail, PFs from the eastern bight overshoot CSM and turn sharply northward
to connect with the inner-shelf flow at the western bight, which results in
the N–S-elongated SD ellipses west of CSM (Figs. 5, 6; see also the
spatial patterns of both EOF modes in Fig. 7).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F12" specific-use="star"><?xmltex \currentcnt{12}?><?xmltex \def\figurename{Figure}?><label>Figure 12</label><caption><p id="d1e3207">Alongshore velocities at the seven selected nodes. See Fig. 1 for
location. Alongshore velocities are obtained from the angle of maximum
variance of velocity vectors at each node.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://os.copernicus.org/articles/18/1183/2022/os-18-1183-2022-f12.png"/>

        </fig>

      <p id="d1e3216">Based on SST images, it has been suggested that the PF signal propagates
from the eastern to the western bight (see for example Fig. 11) and likewise
that EFs proceed at least partly from the west Portuguese coast (Relvas and
Barton, 2002). Such propagation patterns are not conspicuous on the subset
of alongshore velocities reported in Fig. 12. To evaluate whether coastal
flows develop preferentially at the eastern or western bights, the timing of
EF and PF development is analysed considering the three grid nodes W2, C and
E3 (for location, see Fig. 1). Flow reversals were defined as events
occurring at the 3 grid nodes within a 7 d period. To discard small
oscillations in the flow direction, an event was retained when, at each selected
node, <inline-formula><mml:math id="M188" display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">al</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> was <inline-formula><mml:math id="M189" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 0.05 m s<inline-formula><mml:math id="M190" 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> before and after reversed flows lasting
36 h, at least. A total of 23 EF and 25 PF reversal events were detected.
In total, 61 % of EFs developed first at E3 (against 17 % at W2), and
48 % of PFs develop first at W2 (against 44 % at E3). Sequential
reversals at adjacent nodes (i.e. W2 then C then E3 for EFs and the opposite
for PFs) were defined as propagation events; no propagation event was
obtained for PFs (that tend to develop later at CSM, as previously
described), and only three events were obtained for EFs. Thus, coastal flows appear first at
any of both bights, but they tend to appear first at the bight towards which they
are directed, as illustrated on 6 June 2017 (PF developed first to the west)
and on 21 June 2017 (EF developed first to the east) in Fig. 12 (see also the
early development of PFs at the western bight in Fig. 11b and c).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F13" specific-use="star"><?xmltex \currentcnt{13}?><?xmltex \def\figurename{Figure}?><label>Figure 13</label><caption><p id="d1e3252">Conditioned mean map computed from periods when the alongshore
velocity at W2 was between 0.05 and 0.1 m s<inline-formula><mml:math id="M191" 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> <bold>(a, c)</bold> and
for periods with velocities <inline-formula><mml:math id="M192" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 0.1 m s<inline-formula><mml:math id="M193" 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> <bold>(b, d)</bold>. Panels <bold>(a)</bold> and <bold>(b)</bold>
represent PFs (<bold>c, d</bold> represent EFs). Red arrows indicate the mean velocity
computed from available ADCP data for the same periods. For clarity, arrows
are represented every four grid nodes.</p></caption>
          <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://os.copernicus.org/articles/18/1183/2022/os-18-1183-2022-f13.png"/>

        </fig>

      <p id="d1e3308">CCCs have been suggested to be driven in summer by alongshore pressure
differences due to the strong temperature gradient between Cádiz and Huelva
(García-Lafuente et al., 2006). This small-scale thermal gradient,
restricted to the eastern bight, fails to explain the early setup of PFs at
the western bight (where alongshore temperature variations are comparatively
weaker; e.g. Vargas et al., 2003; see also Fig. 11). Instead, an
alongshore pressure gradient of regional scale, from the region of the
Guadalquivir mouth to CSV (Relvas and Barton, 2002), is consistent with the
erratic-like setup of PFs along the coast. Finally, it is noted that the
44 % of PFs that started at E3 developed at W2 with an average delay of
1.24 d. This represents an average propagation speed of 2 m s<inline-formula><mml:math id="M194" 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 is within the range of coastal trapped wave propagation at other
systems (Maiwa et al., 2010; Rivas, 2017).</p>
      <p id="d1e3323">As discussed in Sect. 6.1, about 10 % of PFs correspond to a general
north-westward circulation over the entire NMGoC associated with strong
Levanter wind (<inline-formula><mml:math id="M195" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 10 m s<inline-formula><mml:math id="M196" 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 these cases, PFs observed at
the coast are mainly wind-driven and should not be considered CCCs. For
weaker wind conditions, about 60 % of PFs are restricted to the shelf
(Fig. 9), opposed to the dominant flow direction on the slope, and should
therefore be regarded as CCCs. This spatial distribution is concordant with
SST observations of warm water near the coast and cold waters further
offshore in spring and summer (Fiúza, 1983; Folkard et al., 1997; Relvas
and Barton, 2005, 2002; Reul et al., 2006) as exemplified in Fig. 11.
Comparisons of the flow direction at depths of 40 and 500 m at the
transects indicate that CCCs develop predominantly (<inline-formula><mml:math id="M197" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 60 %)
during the upwelling season (with maximum in late summer–early autumn) and
are the rarest (<inline-formula><mml:math id="M198" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> 10 %) in late autumn and winter. Consequently,
PFs in winter are mainly wind-driven while they are often CCCs (i.e.
alongshore coastal flows with direction opposed to the eastward slope
current) driven by distinct processes in summer (de Oliveira Júnior et
al., 2021; García-Lafuente et al., 2006; Garel et al., 2016; Relvas and
Barton, 2002; Teles-Machado et al., 2007).</p>
</sec>
<sec id="Ch1.S6.SS3">
  <label>6.3</label><title>Recirculation between shelf and slope flows</title>
      <p id="d1e3367">Mode 2 of the EOF analysis (which represents 12 % of the data variability)
indicates episodic recirculation between the shelf and off-shelf regions
over the western bight (Fig. 7b). This recirculation is cyclonic and most
frequent in summer and autumn when mode 1 is weak and mode 2 is in phase
(see Sect. 5.3). To highlight this recirculation, data are selected from
June to October when mode 2 phase is between <inline-formula><mml:math id="M199" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">65</mml:mn></mml:mrow></mml:math></inline-formula> and
65<inline-formula><mml:math id="M200" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> and the ratio of mode 1 and mode 2 amplitudes is <inline-formula><mml:math id="M201" display="inline"><mml:mo>≤</mml:mo></mml:math></inline-formula> 2. The
conditioned mean map obtained from these subsets outlines a cyclonic eddy
over the entire western bight (Fig. 14). The northern branch of the eddy
consists of a CCC (see also the ADCP current direction in the inner-shelf,
red arrows in Fig. 14) that strongly recirculates offshore near CSV. This
recirculation provides a means to transport offshore coastal water-borne
material such as chlorophyll (see Fig. 4 in Cristina et al., 2015). It is
consistent with the rare observation (based on SST) of CCCs propagating
around CSV and northward along the western coast during persistent Levanter
wind conditions (Relvas and Barton, 2002). The shelf region with strong
southward velocity is near 8<inline-formula><mml:math id="M202" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>40<inline-formula><mml:math id="M203" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> W (Fig. 5), which is best defined
in summer results from this recirculation. The southern branch of the eddy
is constituted by the slope current.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F14"><?xmltex \currentcnt{14}?><?xmltex \def\figurename{Figure}?><label>Figure 14</label><caption><p id="d1e3416">Conditioned mean map computed from periods in June to October
with mode 2 phase between <inline-formula><mml:math id="M204" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">65</mml:mn></mml:mrow></mml:math></inline-formula> and 65<inline-formula><mml:math id="M205" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> and the ratio of
mode 1 and mode 2 amplitudes <inline-formula><mml:math id="M206" display="inline"><mml:mo>≤</mml:mo></mml:math></inline-formula> 2. For clarity, arrows are represented
every four grid nodes. Red arrows indicate the mean velocity computed from
available ADCP data for the same periods.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://os.copernicus.org/articles/18/1183/2022/os-18-1183-2022-f14.png"/>

        </fig>

      <p id="d1e3451">A cyclonic eddy was previously described as a quasi-permanent feature in
spring and summer over the western bight (García-Lafuente et al.,
2006). The positive vertical component of northerly wind curl west of CSV
produces ascending velocities resulting in an uprising of the isopycnic and
advection of dense water from the ocean's interior towards the surface
(Sánchez and Relvas, 2003). Because of this upwelling process, a
cyclonic circulation must develop to compensate for the baroclinic pressure
field (Criado-Aldeanueva et al., 2006; García-Lafuente et al., 2006).
To investigate the eddy occurrence, a vector geometry-based detection
algorithm was applied to the HFR time series (for details about the method,
see Nencioli et al., 2010). The dataset was subsampled at each of three grid nodes,
and a reduced area focused on the western bight (8–9<inline-formula><mml:math id="M207" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W and 36<inline-formula><mml:math id="M208" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>30<inline-formula><mml:math id="M209" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>–37<inline-formula><mml:math id="M210" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N) was selected. Eddy
centres were detected at grid points where four constraints were satisfied.
These constraints use two parameters (<inline-formula><mml:math id="M211" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M212" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula>) that can be specified in
order to give flexibility to the algorithm. After several sensitivity tests,
the most suitable values for <inline-formula><mml:math id="M213" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M214" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> were defined to be 4 and 3
respectively. From the 708 detections, less than 2 % occurred from
November to March and more than 77 % from June to October. An example is
provided in August 2017 when the CCCs recirculated cyclonically after a
period of general southeast flows (in Fig. 15a, b). The eddy was briefly
detected during the cyclonic recirculation period (blue dot in Fig. 15c),
followed by a period with strong offshore shelf flows (Fig. 15d).
Recirculation events (identified based on the EOF criteria defined in the
previous paragraph) clearly correspond to the development of CCCs, i.e.
opposed shelf and slope flows (see summer–autumn 2017 in Fig. 15e, where
recirculation events identified by the red triangles on top). The cyclonic
recirculation develops after periods of relatively strong north-westerlies
(Fig. 15f–g). These conditions agree with the development of CCCs during
the relaxation of upwelling-favourable wind, supporting that they result from
the unbalance of a regional alongshore pressure gradient (de Oliveira
Júnior et al., 2021; Garel et al., 2016; Relvas and Barton, 2002). The
eddy is a transient feature (at least at the surface) detected during these
periods, under low-wind-stress conditions (doted lines in Fig. 15g; see also Fig. 11).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F15" specific-use="star"><?xmltex \currentcnt{15}?><?xmltex \def\figurename{Figure}?><label>Figure 15</label><caption><p id="d1e3522">Example of the cyclonic circulation evolution over the western
region <bold>(a–d)</bold> and the detected cyclonic eddy centre (indicated by the blue
dot in <bold>c</bold>). Hovmöller diagram of filtered <inline-formula><mml:math id="M215" display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">al</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> extracted at TrW <bold>(e)</bold>.
Red triangles on top represent recirculation periods identified based on EOF
criteria (mode 2 phase between <inline-formula><mml:math id="M216" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">65</mml:mn></mml:mrow></mml:math></inline-formula> and 65<inline-formula><mml:math id="M217" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> and ratio of
mode 1 and mode 2 amplitudes <inline-formula><mml:math id="M218" display="inline"><mml:mo>≤</mml:mo></mml:math></inline-formula> 2). Filtered ERA5 wind averaged at the
box <inline-formula><mml:math id="M219" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M220" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, <inline-formula><mml:math id="M221" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M222" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, 36<inline-formula><mml:math id="M223" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>45<inline-formula><mml:math id="M224" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> N and 37<inline-formula><mml:math id="M225" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N and black and blue curves representing the meridional and zonal components
respectively <bold>(f)</bold>. Wind stress magnitude <bold>(e)</bold>. Black dotted vertical lines
indicate periods when a cyclonic eddy was detected by the algorithm over the
western bight. Major ticks represent the first day of the indicated month,
and minor ticks represent 1 d intervals.</p></caption>
          <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://os.copernicus.org/articles/18/1183/2022/os-18-1183-2022-f15.png"/>

        </fig>

      <p id="d1e3648">García-Lafuente et al. (2006) also proposed the presence a
quasi-permanent cyclonic eddy over the eastern bight. A cyclonic
recirculation in this region is not apparent in the mean maps (Figs. 5 and
6) and EOF analyses (Fig. 7). Furthermore, the previously described
algorithm yielded significantly fewer (60) detections at the eastern bight
compared with the western bight (708). These eddies tend to develop when the
western eddy is present (63 %, within a time window of 36 h), as
exemplified in Fig. 11f. Cyclonic recirculation of the CCC was also noted
at TrCSM, but more rarely than in the west (compare Fig. 8a–b and c–d).
Overall, the data suggest that a cyclonic recirculation between shelf and
slope flows at the eastern bight is less frequent than in the west. However, it
is not ruled out that this is due to the limited data coverage (see Fig. 3).</p>
</sec>
</sec>
<sec id="Ch1.S7" sec-type="conclusions">
  <label>7</label><title>Conclusions</title>
      <p id="d1e3660">The present study depicts the main patterns of the surface circulation at
the NMGoC, based on the analysis of hourly HFR currents from 2016 to 2020.
The following conclusions are drawn, which are used to update the previous
circulation sketch of the surface circulation during the upwelling season
proposed for this region for no-storm conditions (Garcia-Lafuente et al.,
2006). The main circulation patterns are represented as arrows, where red
(blue) colour indicates the direction of warm (cold) water advection (Fig. 16), a wider arrow corresponds to a greater flow magnitude and a difference
in the double arrowhead size represents an unbalanced flow direction, and dashed
arrows indicate a transient (or sporadic) circulation.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F16"><?xmltex \currentcnt{16}?><?xmltex \def\figurename{Figure}?><label>Figure 16</label><caption><p id="d1e3665">Updated sketch of the main circulation patterns at the NMGoC
during the upwelling season for no-storm conditions. The flow magnitude
(schematically represented by the size of the arrows) is larger at the
western bight than at the eastern bight. Red (blue) arrows indicate the
direction of warm (cold) water advection. Dashed arrows indicate a transient
(or sporadic) circulation. An equatorward slope current (the Gulf of Cádiz
Current, GCC) proceeding from the west Portuguese coast and advecting cold
water is superimposed to the background southeastward, wind-induced
circulation (grey arrows). The GCC partly recirculates anticyclonically in the
east. On the shelf, the flow is alongshore and balanced between the
equatorward and poleward directions (as represented with equal double arrow
head sizes), except near Cape Santa Maria (CSM). There, equatorward flows
predominate (see the distinct double arrowhead sizes around the cape) as
they reverse with some delay compared with the adjacent bights. However, the
equatorward flows (advecting cold water) and poleward flows (advecting warm
water) are generally continuous along the coast, reversing twice a week, on
average. Poleward flows are coastal counter currents (CCCs), i.e. with
a direction opposite to that of the GCC, which develop after periods of
north-westerlies. At the western bight, they are associated with a cyclonic
recirculation, strongest near Cape São Vicente (CSV), explaining the
sporadic advection of warm water to the north of the cape (see the dashed
red arrow near the cape). For weak wind stress, this recirculation depicts a
short-lived eddy over the bight due to onshore recirculation near CSM (see
the dashed arrow near the cape). At the eastern bight, the CCCs and
equatorward flows are strongest at the outer shelf (rather than at the inner
shelf in the west). Cyclonic recirculation of CCCs occurs less frequently than
in the west (see dashed arrows).</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://os.copernicus.org/articles/18/1183/2022/os-18-1183-2022-f16.png"/>

      </fig>

      <p id="d1e3674"><list list-type="bullet">
          <list-item>

      <p id="d1e3679">The background circulation over the NMGoC is southeastward as a
result of the dominant north-westerlies (grey arrows in Fig. 16). This
circulation episodically reverses as a result of strong easterlies. Overall,
the circulation is weaker at the eastern than at the western bight (as
represented with the distinct arrow sizes in Fig. 16).</p>
          </list-item>
          <list-item>

      <p id="d1e3685">An equatorward slope current (GCC in Fig. 16, following Peliz
et al., 2007) is observed along the continental shelf slope, the magnitude
and width of which are seasonally modulated (stronger and broader in summer). This
flow proceeds from the upwelling jet along the western coast. Strong
north-westerlies tend to deflect this surface flow clockwise over the
(exposed) western bight. At the eastern border of the study area, the
observations support that the slope current partly recirculates
anticyclonically (see Fig. 16).</p>
            <?xmltex \hack{\newpage}?>
          </list-item>
          <list-item>

      <p id="d1e3693">Shelf flows are alongshore and balanced at the eastern and
western bights (see the equal double head sizes in Fig. 16), changing
direction twice a week on average, without clear seasonality (Garel et al.,
2016). PFs (EFs) advect warm (cold) water in summer (see the blue and red
arrows in Fig. 16 respectively). Contrarily to the SST, the alongshore
flow signal does not propagate along the coast. Instead, it tends to develop
first at the bight towards which the flow is directed (i.e. PFs tend to
develop first at the western shelf and EFs at the eastern shelf), consistent
with a regional alongshore pressure gradient inversion.</p>
          </list-item>
          <list-item>

      <p id="d1e3699">EFs dominate near CSM (see the distinct double arrow sizes
around the cape in Fig. 16) due to a delay in the setup of PFs. The flow
reverses when PFs are <inline-formula><mml:math id="M226" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 0.1 m s<inline-formula><mml:math id="M227" 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> (approximately) at the
adjacent bights. Since these magnitudes are frequently reached, PFs
generally go around the cape and are continuous along the coast.</p>
          </list-item>
          <list-item>

      <p id="d1e3724">The EFs observed near the coast often extend over the entire
margin as they merge offshore with the slope current (GCC).</p>
          </list-item>
          <list-item>

      <p id="d1e3731">The PFs observed near the coast in winter are mainly associated
with strong easterlies and extend over the entire margin. During the upwelling
season, they dominantly consist of CCCs, i.e. alongshore coastal flows with
direction opposed to the equatorward slope current (Fig. 16).</p>
          </list-item>
          <list-item>

      <p id="d1e3737">In the west, CCCs constitute the northern branch of a cyclonic
recirculation which is strongest near CSV, promoting significant offshore
transport and explaining the sporadic advection of warm water to the north
of CSV (see the dashed red arrow near the cape in Fig. 16). This
recirculation pattern (including CCCs) develops during the relaxation of
upwelling-favourable wind, supporting that they result from the unbalance of
a regional alongshore pressure gradient. For weak wind stress, a transient
eddy is episodically formed, limited in the south by the GCC and in the east by
onshore currents near CSM (see the dashed arrow near the cape in Fig. 16).</p>
          </list-item>
          <list-item>

      <p id="d1e3743">In the east, the core of alongshore flows is detached from the
coast, on the outer shelf (Fig. 16). Cyclonic recirculation of CCCs seems
less frequent than in the west (see dashed arrows in Fig. 16), although this
result can be due to the limited spatial coverage of HFR data in this bight.</p>
          </list-item>
        </list></p>
</sec>

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

      <p id="d1e3752">The HFR data were provided by Puertos del Estado and are available at <uri>http://opendap.puertos.es/thredds/catalog/radar_local_huelva/catalog.html</uri> (Puertos del Estado, 2020). The ADCP data were acquired through a partnership between IPMA  – Portuguese Institute for the Sea and Atmosphere, CCMAR and CIMA and are available from the authors upon request (egarel@ualg.pt). ERA5 wind was obtained from the Climate Data Store database (<ext-link xlink:href="https://doi.org/10.24381/cds.bd0915c6" ext-link-type="DOI">10.24381/cds.bd0915c6</ext-link>, Hersbach et al., 2018). Level 3 VIIRS-SNPP SST data were downloaded from Ocean Color database (<uri>https://oceandata.sci.gsfc.nasa.gov</uri>, Ocean Color Data, 2021). The drifter data were provided by the Portuguese Hydrographic Institute.</p>
  </notes><?xmltex \hack{\newpage}?><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e3768">All authors contributed to the conceptualisation of the study and
participated in the interpretation of the results. LdOJ processed the data,
plotted the results and wrote the first version of the manuscript. EG and
PR reviewed and edited the manuscript to its final version.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e3775">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="d1e3781">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="d1e3787">The authors thank Anna Rubio, Charles-Antoine Guérin and the anonymous reviewer for their valuable and helpful comments on the manuscript. The authors additionally thank Tunipex for the support with the ADCP deployments.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e3792">This research has been supported by the Fundação para a Ciência e a Tecnologia through the grant UID/MAR/00350/2020 (attributed to CIMA, University of Algarve); grants UIDB/04326/2020, UIDP/04326/2020 and LA/P/0101/2020 (attributed to CCMAR); and through the PhD fellowship SFRH/BD/140250/2018 attributed to Luciano de Oliveira Júnior.</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e3798">This paper was edited by Anna Rubio and reviewed by Charles-Antoine Guerin and one anonymous referee.</p>
  </notes><ref-list>
    <title>References</title>

      <ref id="bib1.bib1"><label>1</label><?label 1?><mixed-citation>Alvarez, I., Gomez-Gesteira, M., deCastro, M., and Dias, J. M.:
Spatiotemporal evolution of upwelling regime along the western coast of the
Iberian Peninsula, J. Geophys. Res.-Ocean., 113, C07020,
<ext-link xlink:href="https://doi.org/10.1029/2008JC004744" ext-link-type="DOI">10.1029/2008JC004744</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bib2"><label>2</label><?label 1?><mixed-citation>Alvera-Azcárate, A., Barth, A., Rixen, M., and Beckers, J. M.:
Reconstruction of incomplete oceanographic data sets using empirical
orthogonal functions: Application to the Adriatic Sea surface temperature,
Ocean Model., 9, 325–346, <ext-link xlink:href="https://doi.org/10.1016/j.ocemod.2004.08.001" ext-link-type="DOI">10.1016/j.ocemod.2004.08.001</ext-link>,
2005.</mixed-citation></ref>
      <ref id="bib1.bib3"><label>3</label><?label 1?><mixed-citation>Beckers, J. M. and Rixen, M.: EOF Calculations and Data Filling from Incomplete Oceanographic Datasets, J. Atmos. Ocean. Technol., 20, 1839–1856, <ext-link xlink:href="https://doi.org/10.1175/1520-0426(2003)020&lt;1839:ECADFF&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0426(2003)020&lt;1839:ECADFF&gt;2.0.CO;2</ext-link>, 2003.</mixed-citation></ref>
      <ref id="bib1.bib4"><label>4</label><?label 1?><mixed-citation>Boavida, J., Paulo, D., Aurelle, D., Arnaud-Haond, S., Marschal, C., Reed,
J., Goncalves, J. M. S., and Serrao, E. A.: A well-kept treasure at depth:
Precious red coral rediscovered in atlantic deep coral gardens (SW Portugal)
after 300 Years, PLoS One, 11, 1–26,
<ext-link xlink:href="https://doi.org/10.1371/journal.pone.0147228" ext-link-type="DOI">10.1371/journal.pone.0147228</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib5"><label>5</label><?label 1?><mixed-citation>Casaucao, A., González-Ortegón, E., Jiménez, M. P.,
Teles-Machado, A., Plecha, S., Peliz, A. J., and Laiz, I.: Assessment of the
spawning habitat, spatial distribution, and Lagrangian dispersion of the
European anchovy (Engraulis encrasicolus) early stages in the Gulf of Cadiz
during an apparent anomalous episode in 2016, Sci. Total Environ., 781,
146530, <ext-link xlink:href="https://doi.org/10.1016/j.scitotenv.2021.146530" ext-link-type="DOI">10.1016/j.scitotenv.2021.146530</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib6"><label>6</label><?label 1?><mixed-citation>Castelao, R. M. and Barth, J. A.: The Role of Wind Stress Curl in Jet
Separation at a Cape, J. Phys. Oceanogr., 37, 2652–2672, <ext-link xlink:href="https://doi.org/10.1175/2007JPO3679.1" ext-link-type="DOI">10.1175/2007JPO3679.1</ext-link>,
2007.</mixed-citation></ref>
      <ref id="bib1.bib7"><label>7</label><?label 1?><mixed-citation>Castelao, R. M. and Luo, H.: Upwelling jet separation in the California
Current System, Sci. Rep.-UK, 8, 1–8, <ext-link xlink:href="https://doi.org/10.1038/s41598-018-34401-y" ext-link-type="DOI">10.1038/s41598-018-34401-y</ext-link>,
2018.</mixed-citation></ref>
      <ref id="bib1.bib8"><label>8</label><?label 1?><mixed-citation>Chapman, R. D., Shay, L. K., Graber, H. C., Edson, J. B., Karachintsev, A.,
Trump, C. L., and Ross, D. B.: On the accuracy of HF radar surface current
measurements: Intercomparisons with ship-based sensors, J. Geophys. Res.-Ocean., 102, 18737–18748, <ext-link xlink:href="https://doi.org/10.1029/97JC00049" ext-link-type="DOI">10.1029/97JC00049</ext-link>, 1997.</mixed-citation></ref>
      <ref id="bib1.bib9"><label>9</label><?label 1?><mixed-citation>
Chase, J.: The Bermuda‐Azores high pressure cell; Its surface wind circulation, Woods Hole Oceanographic Institution, technical report no. 20, 51–60, 1951.</mixed-citation></ref>
      <ref id="bib1.bib10"><label>10</label><?label 1?><mixed-citation>
CMEMS Service Evolution: Report on European HF Radar systems development and roadmap for HF Radar products evolution in compliance with CMEMS needs, report, CMEMS, 2017.</mixed-citation></ref>
      <ref id="bib1.bib11"><label>11</label><?label 1?><mixed-citation>CODAR: About Baseline Interpolation, Manual, <uri>http://support.codar.com/Technicians_Information_Page_for_SeaSondes/Docs/Informative/Baseline_Interpolation.pdf</uri> (last access: 15 March 2021), 2004a.</mixed-citation></ref>
      <ref id="bib1.bib12"><label>12</label><?label 1?><mixed-citation>CODAR: Obtaining Total Current Velocities from Radials, Manual, <uri>http://support.codar.com/Technicians_Information_Page_for_SeaSondes/Docs/Informative/Combining_Radials.pdf</uri> (last access: 15 March 2021), 2004b.</mixed-citation></ref>
      <ref id="bib1.bib13"><label>13</label><?label 1?><mixed-citation>Cravo, A., Relvas, P., Cardeira, S., and Rita, F.: Nutrient and chlorophyll
a transports during an upwelling event in the NW margin of the Gulf of
Cadiz, J. Marine Syst., 128, 208–221,
<ext-link xlink:href="https://doi.org/10.1016/j.jmarsys.2013.05.001" ext-link-type="DOI">10.1016/j.jmarsys.2013.05.001</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib14"><label>14</label><?label 1?><mixed-citation>Criado-Aldeanueva, F., García-Lafuente, J., Vargas, J. M., Del
Río, J., Vázquez, A., Reul, A., and Sánchez, A.: Distribution
and circulation of water masses in the Gulf of Cadiz from in situ
observations, Deep-Sea Res. Pt. II, 53, 1144–1160,
<ext-link xlink:href="https://doi.org/10.1016/j.dsr2.2006.04.012" ext-link-type="DOI">10.1016/j.dsr2.2006.04.012</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bib15"><label>15</label><?label 1?><mixed-citation>Criado-Aldeanueva, F., García-Lafuente, J., Navarro, G., and Ruiz, J.:
Seasonal and interannual variability of the surface circulation in the
eastern Gulf of Cadiz (SW Iberia), J. Geophys. Res., 114, C01011,
<ext-link xlink:href="https://doi.org/10.1029/2008JC005069" ext-link-type="DOI">10.1029/2008JC005069</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib16"><label>16</label><?label 1?><mixed-citation>Cristina, S., Icely, J., Costa Goela, P., Angel DelValls, T., and Newton,
A.: Using remote sensing as a support to the implementation of the European
Marine Strategy Framework Directive in SW Portugal, Cont. Shelf Res., 108,
169–177, <ext-link xlink:href="https://doi.org/10.1016/j.csr.2015.03.011" ext-link-type="DOI">10.1016/j.csr.2015.03.011</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib17"><label>17</label><?label 1?><mixed-citation>de Castro, S., Lobo, F. J., and Puga-Bernabéu, Á.:
Headland-associated banner banks generated during the last deglaciation near
the Strait of Gibraltar (Gulf of Cadiz, SW Spain), Mar. Geol., 386, 56–75,
<ext-link xlink:href="https://doi.org/10.1016/j.margeo.2017.02.007" ext-link-type="DOI">10.1016/j.margeo.2017.02.007</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bib18"><label>18</label><?label 1?><mixed-citation>de Oliveira Júnior, L., Garel, E., and Relvas, P.: The structure of
incipient coastal counter currents in South Portugal as indicator of their
forcing agents, J. Marine Syst., 214, 103486,
<ext-link xlink:href="https://doi.org/10.1016/j.jmarsys.2020.103486" ext-link-type="DOI">10.1016/j.jmarsys.2020.103486</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib19"><label>19</label><?label 1?><mixed-citation>Díez-Minguito, M., Baquerizo, A., Ortega-Sánchez, M., Navarro, G.,
and Losada, M. A.: Tide transformation in the Guadalquivir estuary (SW
Spain) and process-based zonation, J. Geophys. Res., 117, C03019,
<ext-link xlink:href="https://doi.org/10.1029/2011JC007344" ext-link-type="DOI">10.1029/2011JC007344</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib20"><label>20</label><?label 1?><mixed-citation>Fiúza, A. F. G.: Upwelling Patterns off Portugal, in: Coastal Upwelling
Its Sediment Record, edited by: Suess, E. and Thiede, J., Springer US,
Boston, MA, 85–98, <ext-link xlink:href="https://doi.org/10.1007/978-1-4615-6651-9_5" ext-link-type="DOI">10.1007/978-1-4615-6651-9_5</ext-link>, 1983.</mixed-citation></ref>
      <ref id="bib1.bib21"><label>21</label><?label 1?><mixed-citation>
Fiúza, A. F. G., de Macedo, M. E., and Guerreiro, M. R.: Climatological
space and time variation of the Portuguese coastal upwelling, Oceanol. Acta,
5, 31–40, 1982.</mixed-citation></ref>
      <ref id="bib1.bib22"><label>22</label><?label 1?><mixed-citation>Folkard, A. M., Davies, P. A., Fiúza, A. F. G., and Ambar, I.: Remotely
sensed sea surface thermal patterns in the gulf of-cadiz and the strait of
Gibraltar: Variability, correlations, and relationships with the surface
wind field, J. Geophys. Res.-Oceans, 102, 5669–5683,
<ext-link xlink:href="https://doi.org/10.1029/96JC02505" ext-link-type="DOI">10.1029/96JC02505</ext-link>, 1997.</mixed-citation></ref>
      <ref id="bib1.bib23"><label>23</label><?label 1?><mixed-citation>Gan, J. and Allen, J. S.: A modeling study of shelf circulation off northern
California in the region of the Coastal Ocean Dynamics Experiment: Response
to relaxation of upwelling winds, J. Geophys. Res., 107, 3123,
<ext-link xlink:href="https://doi.org/10.1029/2000JC000768" ext-link-type="DOI">10.1029/2000JC000768</ext-link>, 2002.</mixed-citation></ref>
      <ref id="bib1.bib24"><label>24</label><?label 1?><mixed-citation>Garcia, C. M., Prieto, L., Vargas, M., Echevarría, F., Garcia-Lafuente,
J., Ruiz, J., and Rubin, J. P.: Hydrodynamics and the spatial distribution
of plankton and TEP in the Gulf of Cadiz (SW Iberian Peninsula), J. Plankton
Res., 24, 817–833, <ext-link xlink:href="https://doi.org/10.1093/plankt/24.8.817" ext-link-type="DOI">10.1093/plankt/24.8.817</ext-link>, 2002.</mixed-citation></ref>
      <ref id="bib1.bib25"><label>25</label><?label 1?><mixed-citation>García Lafuente, J. and Ruiz, J.: The Gulf of Cádiz pelagic
ecosystem: A review, Prog. Oceanogr., 74, 228–251,
<ext-link xlink:href="https://doi.org/10.1016/j.pocean.2007.04.001" ext-link-type="DOI">10.1016/j.pocean.2007.04.001</ext-link>, 2007.</mixed-citation></ref>
      <ref id="bib1.bib26"><label>26</label><?label 1?><mixed-citation>García-Lafuente, J., Delgado, J., Criado-Aldeanueva, F., Bruno, M., del
Río, J., and Miguel Vargas, J.: Water mass circulation on the
continental shelf of the Gulf of Cádiz, Deep-Sea Res. Pt. II, 53, 1182–1197, <ext-link xlink:href="https://doi.org/10.1016/j.dsr2.2006.04.011" ext-link-type="DOI">10.1016/j.dsr2.2006.04.011</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bib27"><label>27</label><?label 1?><mixed-citation>García-Lafuente, J., Sánchez-Román, A., Naranjo, C., and
Sánchez-Garrido, J. C.: The very first transformation of the
Mediterranean outflow in the Strait of Gibraltar, J. Geophys. Res., 116,
C07010, <ext-link xlink:href="https://doi.org/10.1029/2011JC006967" ext-link-type="DOI">10.1029/2011JC006967</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib28"><label>28</label><?label 1?><mixed-citation>García-Lafuente, J., Sammartino, S., Huertas, I. E., and Flecha, S.:
Hotter and Weaker Mediterranean Outflow as a Response to Basin-Wide
Alterations, Front. Mar. Sci., 8, 613444, <ext-link xlink:href="https://doi.org/10.3389/fmars.2021.613444" ext-link-type="DOI">10.3389/fmars.2021.613444</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib29"><label>29</label><?label 1?><mixed-citation>Garel, E. and D'Alimonte, D.: Continuous river discharge monitoring with
bottom-mounted current profilers at narrow tidal estuaries, Cont. Shelf
Res., 133, 1–12, <ext-link xlink:href="https://doi.org/10.1016/j.csr.2016.12.001" ext-link-type="DOI">10.1016/j.csr.2016.12.001</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bib30"><label>30</label><?label 1?><mixed-citation>Garel, E., Laiz, I., Drago, T., and Relvas, P.: Characterisation of coastal
counter-currents on the inner shelf of the Gulf of Cadiz, J. Marine Syst.,
155, 19–34, <ext-link xlink:href="https://doi.org/10.1016/j.jmarsys.2015.11.001" ext-link-type="DOI">10.1016/j.jmarsys.2015.11.001</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib31"><label>31</label><?label 1?><mixed-citation>Hanebuth, T. J. J., King, M. L., Mendes, I., Lebreiro, S., Lobo, F. J.,
Oberle, F. K., Antón, L., Ferreira, P. A., and Reguera, M. I.: Hazard
potential of widespread but hidden historic offshore heavy metal (Pb, Zn)
contamination (Gulf of Cadiz, Spain), Sci. Total Environ., 637–638,
561–576, <ext-link xlink:href="https://doi.org/10.1016/j.scitotenv.2018.04.352" ext-link-type="DOI">10.1016/j.scitotenv.2018.04.352</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bib32"><label>32</label><?label 1?><mixed-citation>Hernández-Carrasco, I., Solabarrieta, L., Rubio, A., Esnaola, G., Reyes, E., and Orfila, A.: Impact of HF radar current gap-filling methodologies on the Lagrangian assessment of coastal dynamics, Ocean Sci., 14, 827–847, <ext-link xlink:href="https://doi.org/10.5194/os-14-827-2018" ext-link-type="DOI">10.5194/os-14-827-2018</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bib33"><label>33</label><?label 1?><mixed-citation>Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., and Thépaut, J.-N.: ERA5 hourly data on pressure levels from 1959 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set], <ext-link xlink:href="https://doi.org/10.24381/cds.bd0915c6" ext-link-type="DOI">10.24381/cds.bd0915c6</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bib34"><label>34</label><?label 1?><mixed-citation>Kaihatu, J. M., Handler, R. A., Marmorino, G. O., and Shay, L. K.: Empirical
orthogonal function analysis of ocean surface currents using complex and
real-vector methods, J. Atmos. Ocean. Tech., 15, 927–941,
<ext-link xlink:href="https://doi.org/10.1175/1520-0426(1998)015&lt;0927:EOFAOO&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0426(1998)015&lt;0927:EOFAOO&gt;2.0.CO;2</ext-link>, 1998.</mixed-citation></ref>
      <ref id="bib1.bib35"><label>35</label><?label 1?><mixed-citation>Kaplan, D. M., Largier, J., and Botsford, L. W.: HF radar observations of
surface circulation off Bodega Bay (northern California, USA), J. Geophys.
Res., 110, 1–25, <ext-link xlink:href="https://doi.org/10.1029/2005JC002959" ext-link-type="DOI">10.1029/2005JC002959</ext-link>, 2005.</mixed-citation></ref>
      <ref id="bib1.bib36"><label>36</label><?label 1?><mixed-citation>Kida, S., Price, J. F., and Yang, J.: The upper-oceanic response to
overflows: A mechanism for the Azores current, J. Phys. Oceanogr., 38,
880–895, <ext-link xlink:href="https://doi.org/10.1175/2007JPO3750.1" ext-link-type="DOI">10.1175/2007JPO3750.1</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bib37"><label>37</label><?label 1?><mixed-citation>Kokkini, Z., Potiris, M., Kalampokis, A., and Zervakis, V.: HF Radar
observations of the dardanelles outflow current in the north eastern Aegean
using validated WERA HF radar data, Mediterr. Mar. Sci., 15, 753–768,
<ext-link xlink:href="https://doi.org/10.12681/mms.938" ext-link-type="DOI">10.12681/mms.938</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib38"><label>38</label><?label 1?><mixed-citation>Kundu P. K. and Allen J. S.: Some three-dimensional characteristics of low-frequency current fluctuations near the Oregon Coast, J. Phys. Oceanogr., 6, 181–199, <ext-link xlink:href="https://doi.org/10.1175/1520-0485(1976)006&lt;0181:STDCOL&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0485(1976)006&lt;0181:STDCOL&gt;2.0.CO;2</ext-link>, 1976.</mixed-citation></ref>
      <ref id="bib1.bib39"><label>39</label><?label 1?><mixed-citation>Leitão, F., Relvas, P., Cánovas, F., Baptista, V., and Teodósio,
A.: Northerly wind trends along the Portuguese marine coast since 1950,
Theor. Appl. Climatol., 137, 1–19, <ext-link xlink:href="https://doi.org/10.1007/s00704-018-2466-9" ext-link-type="DOI">10.1007/s00704-018-2466-9</ext-link>,
2018.</mixed-citation></ref>
      <ref id="bib1.bib40"><label>40</label><?label 1?><mixed-citation>Lipa, B., Barrick, D., Alonso-Martirena, A., Fernandes, M., Ferrer, M. I.,
and Nyden, B.: Brahan project high frequency radar ocean measurements:
Currents, winds, waves and their interactions, Remote Sens., 6,
12094–12117, <ext-link xlink:href="https://doi.org/10.3390/rs61212094" ext-link-type="DOI">10.3390/rs61212094</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib41"><label>41</label><?label 1?><mixed-citation>Lipa, B. J. and Barrick, D. E.: Least-Squares Methods for the Extraction of
Surface Currents from CODAR Crossed-Loop Data: Application at ARSLOE, IEEE
J. Ocean. Eng., 8, 226–253, <ext-link xlink:href="https://doi.org/10.1109/JOE.1983.1145578" ext-link-type="DOI">10.1109/JOE.1983.1145578</ext-link>, 1983.</mixed-citation></ref>
      <ref id="bib1.bib42"><label>42</label><?label 1?><mixed-citation>Lorente, P., Piedracoba, S., and Fanjul, E. A.: Validation of high-frequency
radar ocean surface current observations in the NW of the Iberian Peninsula,
Cont. Shelf Res., 92, 1–15, <ext-link xlink:href="https://doi.org/10.1016/j.csr.2014.11.001" ext-link-type="DOI">10.1016/j.csr.2014.11.001</ext-link>,
2015.</mixed-citation></ref>
      <ref id="bib1.bib43"><label>43</label><?label 1?><mixed-citation>
Losada, A. M. P.: Analysis of the meteorological synoptic situations that
affect the Straits of Gibraltar and their influence on the surface wind,
Bol. Inst. Esp. Ocean., 15, 81–90, 1999.</mixed-citation></ref>
      <ref id="bib1.bib44"><label>44</label><?label 1?><mixed-citation>Maiwa, K., Masumoto, Y., and Yamagata, T.: Characteristics of coastal
trapped waves along the southern and eastern coasts of Australia, J.
Oceanogr., 66, 243–258, <ext-link xlink:href="https://doi.org/10.1007/s10872-010-0022-z" ext-link-type="DOI">10.1007/s10872-010-0022-z</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bib45"><label>45</label><?label 1?><mixed-citation>Mestdagh, T., Lobo, F. J., Llave, E., Hernández-Molina, F. J.,
García Ledesma, A., Puga-Bernabéu, Á., Fernández-Salas, L.
M., and Van Rooij, D.: Late Quaternary multi-genetic processes and products
on the northern Gulf of Cadiz upper continental slope (SW Iberian
Peninsula), Mar. Geol., 427, 106214,
<ext-link xlink:href="https://doi.org/10.1016/j.margeo.2020.106214" ext-link-type="DOI">10.1016/j.margeo.2020.106214</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib46"><label>46</label><?label 1?><mixed-citation>Mulero-Martínez, R., Gómez-Enri, J., Mañanes, R., and Bruno,
M.: Assessment of near-shore currents from CryoSat-2 satellite in the Gulf
of Cádiz using HF radar-derived current observations, Remote Sens.
Environ., 256,  112310, <ext-link xlink:href="https://doi.org/10.1016/j.rse.2021.112310" ext-link-type="DOI">10.1016/j.rse.2021.112310</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib47"><label>47</label><?label 1?><mixed-citation>
Navarro, G., Escudier, R., Pascual, A., Caballero, I., and Vázquez, A.: Singular Value Decomposition of Ocean Surface Chlorophyll and Sea Level Anomalies in the Gulf of Cadiz (South-Western Iberian Peninsula), 20 years Prog. Radar Altimetry Symp., Venice-Lido 2012, 2013.</mixed-citation></ref>
      <ref id="bib1.bib48"><label>48</label><?label 1?><mixed-citation>Nencioli, F., Dong, C., Dickey, T., Washburn, L., and McWilliams, J. C.: A
vector geometry-based eddy detection algorithm and its application to a
high-resolution numerical model product and high-frequency radar surface
velocities in the Southern California Bight, J. Atmos. Ocean. Tech., 27,
564–579, <ext-link xlink:href="https://doi.org/10.1175/2009JTECHO725.1" ext-link-type="DOI">10.1175/2009JTECHO725.1</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bib49"><label>49</label><?label 1?><mixed-citation>Nunes, R. A. O., Alvim-Ferraz, M. C. M., Martins, F. G., Calderay-Cayetano, F., Durán-Grados, V., Moreno-Gutiérrez, J., Jalkanen, J.-P., Hannuniemi, H., and Sousa, S. I. V.: Shipping emissions in the Iberian Peninsula and the impacts on air quality, Atmos. Chem. Phys., 20, 9473–9489, <ext-link xlink:href="https://doi.org/10.5194/acp-20-9473-2020" ext-link-type="DOI">10.5194/acp-20-9473-2020</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib50"><label>50</label><?label 1?><mixed-citation>
Ortega, C., Nogueira, C., and Pinto, H.: Sea and littoral localities'
economy: Exploring potentialities for a maritime cluster – An integrated
analysis of Huelva, Spain and Algarve, Portugal, J. Marit. Res., 10, 35–42,
2013.</mixed-citation></ref>
      <ref id="bib1.bib51"><label>51</label><?label 1?><mixed-citation>Ocean Color Data: Level 3 VIIRS-SNPP SST data, <uri>https://oceandata.sci.gsfc.nasa.gov</uri>, last access: 15 November 2021.</mixed-citation></ref>
      <ref id="bib1.bib52"><label>52</label><?label 1?><mixed-citation>Paduan, J. D. and Rosenfeld, L. K.: Remotely sensed surface currents in
Monterey Bay from shore-based HF radar (Coastal Ocean Dynamics Application
Radar), J. Geophys. Res.-Oceans, 101, 20669–20686,
<ext-link xlink:href="https://doi.org/10.1029/96JC01663" ext-link-type="DOI">10.1029/96JC01663</ext-link>, 1996.</mixed-citation></ref>
      <ref id="bib1.bib53"><label>53</label><?label 1?><mixed-citation>Paduan, J. D. and Washburn, L.: High-Frequency Radar Observations of Ocean
Surface Currents, Annu. Rev. Mar. Sci., 5, 115–136,
<ext-link xlink:href="https://doi.org/10.1146/annurev-marine-121211-172315" ext-link-type="DOI">10.1146/annurev-marine-121211-172315</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib54"><label>54</label><?label 1?><mixed-citation>Peliz, A., Dubert, J., Marchesiello, P., and Teles-Machado, A.: Surface
circulation in the Gulf of Cadiz: Model and mean flow structure, J. Geophys.
Res., 112, 1–20, <ext-link xlink:href="https://doi.org/10.1029/2007JC004159" ext-link-type="DOI">10.1029/2007JC004159</ext-link>, 2007.</mixed-citation></ref>
      <ref id="bib1.bib55"><label>55</label><?label 1?><mixed-citation>Peliz, A., Marchesiello, P., Santos, A. M. P., Dubert, J., Teles-Machado,
A., Marta-Almeida, M., and Le Cann, B.: Surface circulation in the Gulf of
Cadiz: 2. Inflow-outflow coupling and the Gulf of Cadiz slope current, J.
Geophys. Res., 114, 1–16, <ext-link xlink:href="https://doi.org/10.1029/2008JC004771" ext-link-type="DOI">10.1029/2008JC004771</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib56"><label>56</label><?label 1?><mixed-citation>Peliz, A., Boutov, D., Cardoso, R. M., Delgado, J., and Soares, P. M. M.:
The Gulf of Cadiz-Alboran Sea sub-basin: Model setup, exchange and seasonal
variability, Ocean Model., 61, 49–67,
<ext-link xlink:href="https://doi.org/10.1016/j.ocemod.2012.10.007" ext-link-type="DOI">10.1016/j.ocemod.2012.10.007</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib57"><label>57</label><?label 1?><mixed-citation>Peliz, A., Boutov, D., Barbosa Aguiar, A., and Carton, X.: The Gulf of Cadiz
Gap wind anticyclones, Cont. Shelf Res., 91, 171–191,
<ext-link xlink:href="https://doi.org/10.1016/j.csr.2014.09.004" ext-link-type="DOI">10.1016/j.csr.2014.09.004</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib58"><label>58</label><?label 1?><mixed-citation>Price, J. F., Baringer, M. O., Lueck, R. G., Johnson, G. C., Ambar, I.,
Parrilla, G., Cantos, A., Kennelly, M. A., and Sanford, T. B.: Mediterranean
Outflow Mixing and Dynamics, Science, 259, 1277–1282,
<ext-link xlink:href="https://doi.org/10.1126/science.259.5099.1277" ext-link-type="DOI">10.1126/science.259.5099.1277</ext-link>, 1993.</mixed-citation></ref>
      <ref id="bib1.bib59"><label>59</label><?label 1?><mixed-citation>Prieto, L., Navarro, G., Rodríguez-Gálvez, S., Huertas, I. E.,
Naranjo, J. M., and Ruiz, J.: Oceanographic and meteorological forcing of
the pelagic ecosystem on the Gulf of Cadiz shelf (SW Iberian Peninsula),
Cont. Shelf Res., 29, 2122–2137, <ext-link xlink:href="https://doi.org/10.1016/j.csr.2009.08.007" ext-link-type="DOI">10.1016/j.csr.2009.08.007</ext-link>,
2009.</mixed-citation></ref>
      <ref id="bib1.bib60"><label>60</label><?label 1?><mixed-citation>Puertos del Estado: HFR data, <uri>http://opendap.puertos.es/thredds/catalog/radar_local_huelva/catalog.html</uri>, last access: 13 October 2020.</mixed-citation></ref>
      <ref id="bib1.bib61"><label>61</label><?label 1?><mixed-citation>Relvas, P. and Barton, E. D.: Mesoscale patterns in the Cape São Vicente
(Iberian Peninsula) upwelling region, J. Geophys. Res., 107, 3164,
<ext-link xlink:href="https://doi.org/10.1029/2000JC000456" ext-link-type="DOI">10.1029/2000JC000456</ext-link>, 2002.</mixed-citation></ref>
      <ref id="bib1.bib62"><label>62</label><?label 1?><mixed-citation>Relvas, P. and Barton, E. D.: A separated jet and coastal counterflow during
upwelling relaxation off Cape São Vicente (Iberian Peninsula), Cont.
Shelf Res., 25, 29–49, <ext-link xlink:href="https://doi.org/10.1016/j.csr.2004.09.006" ext-link-type="DOI">10.1016/j.csr.2004.09.006</ext-link>, 2005.</mixed-citation></ref>
      <ref id="bib1.bib63"><label>63</label><?label 1?><mixed-citation>Reul, A., Muñoz, M., Criado-Aldeanueva, F., and Rodríguez, V.:
Spatial distribution of phytoplankton <inline-formula><mml:math id="M228" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 13 <inline-formula><mml:math id="M229" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m in the Gulf of
Cádiz in relation to water masses and circulation pattern under westerly
and easterly wind regimes, Deep-Sea Res. Pt. II, 53,
1294–1313, <ext-link xlink:href="https://doi.org/10.1016/j.dsr2.2006.04.008" ext-link-type="DOI">10.1016/j.dsr2.2006.04.008</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bib64"><label>64</label><?label 1?><mixed-citation>Ribas-Ribas, M., Gómez-Parra, A., and Forja, J. M.: Air–sea CO<inline-formula><mml:math id="M230" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> fluxes
in the north-eastern shelf of the Gulf of Cádiz (southwest Iberian
Peninsula), Mar. Chem., 123, 56–66,
<ext-link xlink:href="https://doi.org/10.1016/j.marchem.2010.09.005" ext-link-type="DOI">10.1016/j.marchem.2010.09.005</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib65"><label>65</label><?label 1?><mixed-citation>Rivas, D.: Wind-driven coastal-trapped waves off southern Tamaulipas and
northern Veracruz, western Gulf of Mexico, during winter 2012–2013, Estuar.
Coast. Shelf Sc., 185, 1–10, <ext-link xlink:href="https://doi.org/10.1016/j.ecss.2016.12.002" ext-link-type="DOI">10.1016/j.ecss.2016.12.002</ext-link>,
2017.</mixed-citation></ref>
      <ref id="bib1.bib66"><label>66</label><?label 1?><mixed-citation>Sánchez, R. F. and Relvas, P.: Spring–summer climatological circulation
in the upper layer in the region of Cape St. Vincent, Southwest Portugal,
ICES J. Mar. Sci., 60, 1232–1250,
<ext-link xlink:href="https://doi.org/10.1016/S1054-3139(03)00137-1" ext-link-type="DOI">10.1016/S1054-3139(03)00137-1</ext-link>, 2003.</mixed-citation></ref>
      <ref id="bib1.bib67"><label>67</label><?label 1?><mixed-citation>Sánchez, R. F., Mason, E., Relvas, P., da Silva, A. J., and Peliz,
Á.: On the inner-shelf circulation in the northern Gulf of Cádiz,
southern Portuguese shelf, Deep-Sea Res. Pt. II, 53, 1198–1218,
<ext-link xlink:href="https://doi.org/10.1016/j.dsr2.2006.04.002" ext-link-type="DOI">10.1016/j.dsr2.2006.04.002</ext-link>, 2006.
</mixed-citation></ref><?xmltex \hack{\newpage}?>
      <ref id="bib1.bib68"><label>68</label><?label 1?><mixed-citation>Sánchez, R. F., Relvas, P., and Delgado, M.: Coupled ocean wind and sea
surface temperature patterns off the western Iberian Peninsula, J. Marine
Syst., 68, 103–127, <ext-link xlink:href="https://doi.org/10.1016/j.jmarsys.2006.11.003" ext-link-type="DOI">10.1016/j.jmarsys.2006.11.003</ext-link>, 2007.</mixed-citation></ref>
      <ref id="bib1.bib69"><label>69</label><?label 1?><mixed-citation>Sánchez-Leal, R. F., Bellanco, M. J., Naranjo, C., García-Lafuente,
J., and González-Pola, C.: On the seasonality of waters below the
seasonal thermocline in the Gulf of Cádiz, Cont. Shelf Res., 204, 104190,
<ext-link xlink:href="https://doi.org/10.1016/j.csr.2020.104190" ext-link-type="DOI">10.1016/j.csr.2020.104190</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib70"><label>70</label><?label 1?><mixed-citation>Simpson, J. H. and Sharples, J.: Introduction to the Physical and Biological
Oceanography of Shelf Seas, in: Introduction to the Physical and Biological
Oceanography of Shelf Seas, Cambridge University Press, Cambridge, 306–313,
<ext-link xlink:href="https://doi.org/10.1017/CBO9781139034098" ext-link-type="DOI">10.1017/CBO9781139034098</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib71"><label>71</label><?label 1?><mixed-citation>Solabarrieta, L., Rubio, A., Castanedo, S., Medina, R., Charria, G., and
Hernández, C.: Surface water circulation patterns in the southeastern
Bay of Biscay: New evidences from HF radar data, Cont. Shelf Res., 74,
60–76, <ext-link xlink:href="https://doi.org/10.1016/j.csr.2013.11.022" ext-link-type="DOI">10.1016/j.csr.2013.11.022</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib72"><label>72</label><?label 1?><mixed-citation>Stevenson, R. E.: Huelva Front and Malaga, Spain, eddy chain as defined by
satellite and oceanographic data, Dtsch. Hydrogr. Zeitschrift, 30, 51–53,
<ext-link xlink:href="https://doi.org/10.1007/BF02226082" ext-link-type="DOI">10.1007/BF02226082</ext-link>, 1977.</mixed-citation></ref>
      <ref id="bib1.bib73"><label>73</label><?label 1?><mixed-citation>Teles-Machado, A., Peliz, Á., Dubert, J., and Sánchez, R. F.: On the
onset of the Gulf of Cadiz Coastal Countercurrent, Geophys. Res. Lett., 34,
L12601, <ext-link xlink:href="https://doi.org/10.1029/2007GL030091" ext-link-type="DOI">10.1029/2007GL030091</ext-link>, 2007.</mixed-citation></ref>
      <ref id="bib1.bib74"><label>74</label><?label 1?><mixed-citation>Vargas, J. M., García-Lafuente, J., Delgado, J., and Criado, F.: Seasonal
and wind-induced variability of Sea Surface Temperature patterns in the Gulf
of Cádiz, J. Marine Syst., 38, 205–219,
<ext-link xlink:href="https://doi.org/10.1016/S0924-7963(02)00240-3" ext-link-type="DOI">10.1016/S0924-7963(02)00240-3</ext-link>, 2003.</mixed-citation></ref>

  </ref-list></back>
    <!--<article-title-html>Kinematics of surface currents at the northern margin  of the Gulf of Cádiz</article-title-html>
<abstract-html/>
<ref-html id="bib1.bib1"><label>1</label><mixed-citation>
Alvarez, I., Gomez-Gesteira, M., deCastro, M., and Dias, J. M.:
Spatiotemporal evolution of upwelling regime along the western coast of the
Iberian Peninsula, J. Geophys. Res.-Ocean., 113, C07020,
<a href="https://doi.org/10.1029/2008JC004744" target="_blank">https://doi.org/10.1029/2008JC004744</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib2"><label>2</label><mixed-citation>
Alvera-Azcárate, A., Barth, A., Rixen, M., and Beckers, J. M.:
Reconstruction of incomplete oceanographic data sets using empirical
orthogonal functions: Application to the Adriatic Sea surface temperature,
Ocean Model., 9, 325–346, <a href="https://doi.org/10.1016/j.ocemod.2004.08.001" target="_blank">https://doi.org/10.1016/j.ocemod.2004.08.001</a>,
2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib3"><label>3</label><mixed-citation>
Beckers, J. M. and Rixen, M.: EOF Calculations and Data Filling from Incomplete Oceanographic Datasets, J. Atmos. Ocean. Technol., 20, 1839–1856, <a href="https://doi.org/10.1175/1520-0426(2003)020&lt;1839:ECADFF&gt;2.0.CO;2" target="_blank">https://doi.org/10.1175/1520-0426(2003)020&lt;1839:ECADFF&gt;2.0.CO;2</a>, 2003.
</mixed-citation></ref-html>
<ref-html id="bib1.bib4"><label>4</label><mixed-citation>
Boavida, J., Paulo, D., Aurelle, D., Arnaud-Haond, S., Marschal, C., Reed,
J., Goncalves, J. M. S., and Serrao, E. A.: A well-kept treasure at depth:
Precious red coral rediscovered in atlantic deep coral gardens (SW Portugal)
after 300 Years, PLoS One, 11, 1–26,
<a href="https://doi.org/10.1371/journal.pone.0147228" target="_blank">https://doi.org/10.1371/journal.pone.0147228</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib5"><label>5</label><mixed-citation>
Casaucao, A., González-Ortegón, E., Jiménez, M. P.,
Teles-Machado, A., Plecha, S., Peliz, A. J., and Laiz, I.: Assessment of the
spawning habitat, spatial distribution, and Lagrangian dispersion of the
European anchovy (Engraulis encrasicolus) early stages in the Gulf of Cadiz
during an apparent anomalous episode in 2016, Sci. Total Environ., 781,
146530, <a href="https://doi.org/10.1016/j.scitotenv.2021.146530" target="_blank">https://doi.org/10.1016/j.scitotenv.2021.146530</a>, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib6"><label>6</label><mixed-citation>
Castelao, R. M. and Barth, J. A.: The Role of Wind Stress Curl in Jet
Separation at a Cape, J. Phys. Oceanogr., 37, 2652–2672, <a href="https://doi.org/10.1175/2007JPO3679.1" target="_blank">https://doi.org/10.1175/2007JPO3679.1</a>,
2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib7"><label>7</label><mixed-citation>
Castelao, R. M. and Luo, H.: Upwelling jet separation in the California
Current System, Sci. Rep.-UK, 8, 1–8, <a href="https://doi.org/10.1038/s41598-018-34401-y" target="_blank">https://doi.org/10.1038/s41598-018-34401-y</a>,
2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib8"><label>8</label><mixed-citation>
Chapman, R. D., Shay, L. K., Graber, H. C., Edson, J. B., Karachintsev, A.,
Trump, C. L., and Ross, D. B.: On the accuracy of HF radar surface current
measurements: Intercomparisons with ship-based sensors, J. Geophys. Res.-Ocean., 102, 18737–18748, <a href="https://doi.org/10.1029/97JC00049" target="_blank">https://doi.org/10.1029/97JC00049</a>, 1997.
</mixed-citation></ref-html>
<ref-html id="bib1.bib9"><label>9</label><mixed-citation>
Chase, J.: The Bermuda‐Azores high pressure cell; Its surface wind circulation, Woods Hole Oceanographic Institution, technical report no. 20, 51–60, 1951.
</mixed-citation></ref-html>
<ref-html id="bib1.bib10"><label>10</label><mixed-citation>
CMEMS Service Evolution: Report on European HF Radar systems development and roadmap for HF Radar products evolution in compliance with CMEMS needs, report, CMEMS, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib11"><label>11</label><mixed-citation>
CODAR: About Baseline Interpolation, Manual, <a href="http://support.codar.com/Technicians_Information_Page_for_SeaSondes/Docs/Informative/Baseline_Interpolation.pdf" target="_blank"/> (last access: 15 March 2021), 2004a.
</mixed-citation></ref-html>
<ref-html id="bib1.bib12"><label>12</label><mixed-citation>
CODAR: Obtaining Total Current Velocities from Radials, Manual, <a href="http://support.codar.com/Technicians_Information_Page_for_SeaSondes/Docs/Informative/Combining_Radials.pdf" target="_blank"/> (last access: 15 March 2021), 2004b.
</mixed-citation></ref-html>
<ref-html id="bib1.bib13"><label>13</label><mixed-citation>
Cravo, A., Relvas, P., Cardeira, S., and Rita, F.: Nutrient and chlorophyll
a transports during an upwelling event in the NW margin of the Gulf of
Cadiz, J. Marine Syst., 128, 208–221,
<a href="https://doi.org/10.1016/j.jmarsys.2013.05.001" target="_blank">https://doi.org/10.1016/j.jmarsys.2013.05.001</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib14"><label>14</label><mixed-citation>
Criado-Aldeanueva, F., García-Lafuente, J., Vargas, J. M., Del
Río, J., Vázquez, A., Reul, A., and Sánchez, A.: Distribution
and circulation of water masses in the Gulf of Cadiz from in situ
observations, Deep-Sea Res. Pt. II, 53, 1144–1160,
<a href="https://doi.org/10.1016/j.dsr2.2006.04.012" target="_blank">https://doi.org/10.1016/j.dsr2.2006.04.012</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib15"><label>15</label><mixed-citation>
Criado-Aldeanueva, F., García-Lafuente, J., Navarro, G., and Ruiz, J.:
Seasonal and interannual variability of the surface circulation in the
eastern Gulf of Cadiz (SW Iberia), J. Geophys. Res., 114, C01011,
<a href="https://doi.org/10.1029/2008JC005069" target="_blank">https://doi.org/10.1029/2008JC005069</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib16"><label>16</label><mixed-citation>
Cristina, S., Icely, J., Costa Goela, P., Angel DelValls, T., and Newton,
A.: Using remote sensing as a support to the implementation of the European
Marine Strategy Framework Directive in SW Portugal, Cont. Shelf Res., 108,
169–177, <a href="https://doi.org/10.1016/j.csr.2015.03.011" target="_blank">https://doi.org/10.1016/j.csr.2015.03.011</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib17"><label>17</label><mixed-citation>
de Castro, S., Lobo, F. J., and Puga-Bernabéu, Á.:
Headland-associated banner banks generated during the last deglaciation near
the Strait of Gibraltar (Gulf of Cadiz, SW Spain), Mar. Geol., 386, 56–75,
<a href="https://doi.org/10.1016/j.margeo.2017.02.007" target="_blank">https://doi.org/10.1016/j.margeo.2017.02.007</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib18"><label>18</label><mixed-citation>
de Oliveira Júnior, L., Garel, E., and Relvas, P.: The structure of
incipient coastal counter currents in South Portugal as indicator of their
forcing agents, J. Marine Syst., 214, 103486,
<a href="https://doi.org/10.1016/j.jmarsys.2020.103486" target="_blank">https://doi.org/10.1016/j.jmarsys.2020.103486</a>, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib19"><label>19</label><mixed-citation>
Díez-Minguito, M., Baquerizo, A., Ortega-Sánchez, M., Navarro, G.,
and Losada, M. A.: Tide transformation in the Guadalquivir estuary (SW
Spain) and process-based zonation, J. Geophys. Res., 117, C03019,
<a href="https://doi.org/10.1029/2011JC007344" target="_blank">https://doi.org/10.1029/2011JC007344</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib20"><label>20</label><mixed-citation>
Fiúza, A. F. G.: Upwelling Patterns off Portugal, in: Coastal Upwelling
Its Sediment Record, edited by: Suess, E. and Thiede, J., Springer US,
Boston, MA, 85–98, <a href="https://doi.org/10.1007/978-1-4615-6651-9_5" target="_blank">https://doi.org/10.1007/978-1-4615-6651-9_5</a>, 1983.
</mixed-citation></ref-html>
<ref-html id="bib1.bib21"><label>21</label><mixed-citation>
Fiúza, A. F. G., de Macedo, M. E., and Guerreiro, M. R.: Climatological
space and time variation of the Portuguese coastal upwelling, Oceanol. Acta,
5, 31–40, 1982.
</mixed-citation></ref-html>
<ref-html id="bib1.bib22"><label>22</label><mixed-citation>
Folkard, A. M., Davies, P. A., Fiúza, A. F. G., and Ambar, I.: Remotely
sensed sea surface thermal patterns in the gulf of-cadiz and the strait of
Gibraltar: Variability, correlations, and relationships with the surface
wind field, J. Geophys. Res.-Oceans, 102, 5669–5683,
<a href="https://doi.org/10.1029/96JC02505" target="_blank">https://doi.org/10.1029/96JC02505</a>, 1997.
</mixed-citation></ref-html>
<ref-html id="bib1.bib23"><label>23</label><mixed-citation>
Gan, J. and Allen, J. S.: A modeling study of shelf circulation off northern
California in the region of the Coastal Ocean Dynamics Experiment: Response
to relaxation of upwelling winds, J. Geophys. Res., 107, 3123,
<a href="https://doi.org/10.1029/2000JC000768" target="_blank">https://doi.org/10.1029/2000JC000768</a>, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib24"><label>24</label><mixed-citation>
Garcia, C. M., Prieto, L., Vargas, M., Echevarría, F., Garcia-Lafuente,
J., Ruiz, J., and Rubin, J. P.: Hydrodynamics and the spatial distribution
of plankton and TEP in the Gulf of Cadiz (SW Iberian Peninsula), J. Plankton
Res., 24, 817–833, <a href="https://doi.org/10.1093/plankt/24.8.817" target="_blank">https://doi.org/10.1093/plankt/24.8.817</a>, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib25"><label>25</label><mixed-citation>
García Lafuente, J. and Ruiz, J.: The Gulf of Cádiz pelagic
ecosystem: A review, Prog. Oceanogr., 74, 228–251,
<a href="https://doi.org/10.1016/j.pocean.2007.04.001" target="_blank">https://doi.org/10.1016/j.pocean.2007.04.001</a>, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib26"><label>26</label><mixed-citation>
García-Lafuente, J., Delgado, J., Criado-Aldeanueva, F., Bruno, M., del
Río, J., and Miguel Vargas, J.: Water mass circulation on the
continental shelf of the Gulf of Cádiz, Deep-Sea Res. Pt. II, 53, 1182–1197, <a href="https://doi.org/10.1016/j.dsr2.2006.04.011" target="_blank">https://doi.org/10.1016/j.dsr2.2006.04.011</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib27"><label>27</label><mixed-citation>
García-Lafuente, J., Sánchez-Román, A., Naranjo, C., and
Sánchez-Garrido, J. C.: The very first transformation of the
Mediterranean outflow in the Strait of Gibraltar, J. Geophys. Res., 116,
C07010, <a href="https://doi.org/10.1029/2011JC006967" target="_blank">https://doi.org/10.1029/2011JC006967</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib28"><label>28</label><mixed-citation>
García-Lafuente, J., Sammartino, S., Huertas, I. E., and Flecha, S.:
Hotter and Weaker Mediterranean Outflow as a Response to Basin-Wide
Alterations, Front. Mar. Sci., 8, 613444, <a href="https://doi.org/10.3389/fmars.2021.613444" target="_blank">https://doi.org/10.3389/fmars.2021.613444</a>, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib29"><label>29</label><mixed-citation>
Garel, E. and D'Alimonte, D.: Continuous river discharge monitoring with
bottom-mounted current profilers at narrow tidal estuaries, Cont. Shelf
Res., 133, 1–12, <a href="https://doi.org/10.1016/j.csr.2016.12.001" target="_blank">https://doi.org/10.1016/j.csr.2016.12.001</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib30"><label>30</label><mixed-citation>
Garel, E., Laiz, I., Drago, T., and Relvas, P.: Characterisation of coastal
counter-currents on the inner shelf of the Gulf of Cadiz, J. Marine Syst.,
155, 19–34, <a href="https://doi.org/10.1016/j.jmarsys.2015.11.001" target="_blank">https://doi.org/10.1016/j.jmarsys.2015.11.001</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib31"><label>31</label><mixed-citation>
Hanebuth, T. J. J., King, M. L., Mendes, I., Lebreiro, S., Lobo, F. J.,
Oberle, F. K., Antón, L., Ferreira, P. A., and Reguera, M. I.: Hazard
potential of widespread but hidden historic offshore heavy metal (Pb, Zn)
contamination (Gulf of Cadiz, Spain), Sci. Total Environ., 637–638,
561–576, <a href="https://doi.org/10.1016/j.scitotenv.2018.04.352" target="_blank">https://doi.org/10.1016/j.scitotenv.2018.04.352</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib32"><label>32</label><mixed-citation>
Hernández-Carrasco, I., Solabarrieta, L., Rubio, A., Esnaola, G., Reyes, E., and Orfila, A.: Impact of HF radar current gap-filling methodologies on the Lagrangian assessment of coastal dynamics, Ocean Sci., 14, 827–847, <a href="https://doi.org/10.5194/os-14-827-2018" target="_blank">https://doi.org/10.5194/os-14-827-2018</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib33"><label>33</label><mixed-citation>
Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., and Thépaut, J.-N.: ERA5 hourly data on pressure levels from 1959 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set], <a href="https://doi.org/10.24381/cds.bd0915c6" target="_blank">https://doi.org/10.24381/cds.bd0915c6</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib34"><label>34</label><mixed-citation>
Kaihatu, J. M., Handler, R. A., Marmorino, G. O., and Shay, L. K.: Empirical
orthogonal function analysis of ocean surface currents using complex and
real-vector methods, J. Atmos. Ocean. Tech., 15, 927–941,
<a href="https://doi.org/10.1175/1520-0426(1998)015&lt;0927:EOFAOO&gt;2.0.CO;2" target="_blank">https://doi.org/10.1175/1520-0426(1998)015&lt;0927:EOFAOO&gt;2.0.CO;2</a>, 1998.
</mixed-citation></ref-html>
<ref-html id="bib1.bib35"><label>35</label><mixed-citation>
Kaplan, D. M., Largier, J., and Botsford, L. W.: HF radar observations of
surface circulation off Bodega Bay (northern California, USA), J. Geophys.
Res., 110, 1–25, <a href="https://doi.org/10.1029/2005JC002959" target="_blank">https://doi.org/10.1029/2005JC002959</a>, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib36"><label>36</label><mixed-citation>
Kida, S., Price, J. F., and Yang, J.: The upper-oceanic response to
overflows: A mechanism for the Azores current, J. Phys. Oceanogr., 38,
880–895, <a href="https://doi.org/10.1175/2007JPO3750.1" target="_blank">https://doi.org/10.1175/2007JPO3750.1</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib37"><label>37</label><mixed-citation>
Kokkini, Z., Potiris, M., Kalampokis, A., and Zervakis, V.: HF Radar
observations of the dardanelles outflow current in the north eastern Aegean
using validated WERA HF radar data, Mediterr. Mar. Sci., 15, 753–768,
<a href="https://doi.org/10.12681/mms.938" target="_blank">https://doi.org/10.12681/mms.938</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib38"><label>38</label><mixed-citation>
Kundu P. K. and Allen J. S.: Some three-dimensional characteristics of low-frequency current fluctuations near the Oregon Coast, J. Phys. Oceanogr., 6, 181–199, <a href="https://doi.org/10.1175/1520-0485(1976)006&lt;0181:STDCOL&gt;2.0.CO;2" target="_blank">https://doi.org/10.1175/1520-0485(1976)006&lt;0181:STDCOL&gt;2.0.CO;2</a>, 1976.
</mixed-citation></ref-html>
<ref-html id="bib1.bib39"><label>39</label><mixed-citation>
Leitão, F., Relvas, P., Cánovas, F., Baptista, V., and Teodósio,
A.: Northerly wind trends along the Portuguese marine coast since 1950,
Theor. Appl. Climatol., 137, 1–19, <a href="https://doi.org/10.1007/s00704-018-2466-9" target="_blank">https://doi.org/10.1007/s00704-018-2466-9</a>,
2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib40"><label>40</label><mixed-citation>
Lipa, B., Barrick, D., Alonso-Martirena, A., Fernandes, M., Ferrer, M. I.,
and Nyden, B.: Brahan project high frequency radar ocean measurements:
Currents, winds, waves and their interactions, Remote Sens., 6,
12094–12117, <a href="https://doi.org/10.3390/rs61212094" target="_blank">https://doi.org/10.3390/rs61212094</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib41"><label>41</label><mixed-citation>
Lipa, B. J. and Barrick, D. E.: Least-Squares Methods for the Extraction of
Surface Currents from CODAR Crossed-Loop Data: Application at ARSLOE, IEEE
J. Ocean. Eng., 8, 226–253, <a href="https://doi.org/10.1109/JOE.1983.1145578" target="_blank">https://doi.org/10.1109/JOE.1983.1145578</a>, 1983.
</mixed-citation></ref-html>
<ref-html id="bib1.bib42"><label>42</label><mixed-citation>
Lorente, P., Piedracoba, S., and Fanjul, E. A.: Validation of high-frequency
radar ocean surface current observations in the NW of the Iberian Peninsula,
Cont. Shelf Res., 92, 1–15, <a href="https://doi.org/10.1016/j.csr.2014.11.001" target="_blank">https://doi.org/10.1016/j.csr.2014.11.001</a>,
2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib43"><label>43</label><mixed-citation>
Losada, A. M. P.: Analysis of the meteorological synoptic situations that
affect the Straits of Gibraltar and their influence on the surface wind,
Bol. Inst. Esp. Ocean., 15, 81–90, 1999.
</mixed-citation></ref-html>
<ref-html id="bib1.bib44"><label>44</label><mixed-citation>
Maiwa, K., Masumoto, Y., and Yamagata, T.: Characteristics of coastal
trapped waves along the southern and eastern coasts of Australia, J.
Oceanogr., 66, 243–258, <a href="https://doi.org/10.1007/s10872-010-0022-z" target="_blank">https://doi.org/10.1007/s10872-010-0022-z</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib45"><label>45</label><mixed-citation>
Mestdagh, T., Lobo, F. J., Llave, E., Hernández-Molina, F. J.,
García Ledesma, A., Puga-Bernabéu, Á., Fernández-Salas, L.
M., and Van Rooij, D.: Late Quaternary multi-genetic processes and products
on the northern Gulf of Cadiz upper continental slope (SW Iberian
Peninsula), Mar. Geol., 427, 106214,
<a href="https://doi.org/10.1016/j.margeo.2020.106214" target="_blank">https://doi.org/10.1016/j.margeo.2020.106214</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib46"><label>46</label><mixed-citation>
Mulero-Martínez, R., Gómez-Enri, J., Mañanes, R., and Bruno,
M.: Assessment of near-shore currents from CryoSat-2 satellite in the Gulf
of Cádiz using HF radar-derived current observations, Remote Sens.
Environ., 256,  112310, <a href="https://doi.org/10.1016/j.rse.2021.112310" target="_blank">https://doi.org/10.1016/j.rse.2021.112310</a>, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib47"><label>47</label><mixed-citation>
Navarro, G., Escudier, R., Pascual, A., Caballero, I., and Vázquez, A.: Singular Value Decomposition of Ocean Surface Chlorophyll and Sea Level Anomalies in the Gulf of Cadiz (South-Western Iberian Peninsula), 20 years Prog. Radar Altimetry Symp., Venice-Lido 2012, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib48"><label>48</label><mixed-citation>
Nencioli, F., Dong, C., Dickey, T., Washburn, L., and McWilliams, J. C.: A
vector geometry-based eddy detection algorithm and its application to a
high-resolution numerical model product and high-frequency radar surface
velocities in the Southern California Bight, J. Atmos. Ocean. Tech., 27,
564–579, <a href="https://doi.org/10.1175/2009JTECHO725.1" target="_blank">https://doi.org/10.1175/2009JTECHO725.1</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib49"><label>49</label><mixed-citation>
Nunes, R. A. O., Alvim-Ferraz, M. C. M., Martins, F. G., Calderay-Cayetano, F., Durán-Grados, V., Moreno-Gutiérrez, J., Jalkanen, J.-P., Hannuniemi, H., and Sousa, S. I. V.: Shipping emissions in the Iberian Peninsula and the impacts on air quality, Atmos. Chem. Phys., 20, 9473–9489, <a href="https://doi.org/10.5194/acp-20-9473-2020" target="_blank">https://doi.org/10.5194/acp-20-9473-2020</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib50"><label>50</label><mixed-citation>
Ortega, C., Nogueira, C., and Pinto, H.: Sea and littoral localities'
economy: Exploring potentialities for a maritime cluster – An integrated
analysis of Huelva, Spain and Algarve, Portugal, J. Marit. Res., 10, 35–42,
2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib51"><label>51</label><mixed-citation>
Ocean Color Data: Level 3 VIIRS-SNPP SST data, <a href="https://oceandata.sci.gsfc.nasa.gov" target="_blank"/>, last access: 15 November 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib52"><label>52</label><mixed-citation>
Paduan, J. D. and Rosenfeld, L. K.: Remotely sensed surface currents in
Monterey Bay from shore-based HF radar (Coastal Ocean Dynamics Application
Radar), J. Geophys. Res.-Oceans, 101, 20669–20686,
<a href="https://doi.org/10.1029/96JC01663" target="_blank">https://doi.org/10.1029/96JC01663</a>, 1996.
</mixed-citation></ref-html>
<ref-html id="bib1.bib53"><label>53</label><mixed-citation>
Paduan, J. D. and Washburn, L.: High-Frequency Radar Observations of Ocean
Surface Currents, Annu. Rev. Mar. Sci., 5, 115–136,
<a href="https://doi.org/10.1146/annurev-marine-121211-172315" target="_blank">https://doi.org/10.1146/annurev-marine-121211-172315</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib54"><label>54</label><mixed-citation>
Peliz, A., Dubert, J., Marchesiello, P., and Teles-Machado, A.: Surface
circulation in the Gulf of Cadiz: Model and mean flow structure, J. Geophys.
Res., 112, 1–20, <a href="https://doi.org/10.1029/2007JC004159" target="_blank">https://doi.org/10.1029/2007JC004159</a>, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib55"><label>55</label><mixed-citation>
Peliz, A., Marchesiello, P., Santos, A. M. P., Dubert, J., Teles-Machado,
A., Marta-Almeida, M., and Le Cann, B.: Surface circulation in the Gulf of
Cadiz: 2. Inflow-outflow coupling and the Gulf of Cadiz slope current, J.
Geophys. Res., 114, 1–16, <a href="https://doi.org/10.1029/2008JC004771" target="_blank">https://doi.org/10.1029/2008JC004771</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib56"><label>56</label><mixed-citation>
Peliz, A., Boutov, D., Cardoso, R. M., Delgado, J., and Soares, P. M. M.:
The Gulf of Cadiz-Alboran Sea sub-basin: Model setup, exchange and seasonal
variability, Ocean Model., 61, 49–67,
<a href="https://doi.org/10.1016/j.ocemod.2012.10.007" target="_blank">https://doi.org/10.1016/j.ocemod.2012.10.007</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib57"><label>57</label><mixed-citation>
Peliz, A., Boutov, D., Barbosa Aguiar, A., and Carton, X.: The Gulf of Cadiz
Gap wind anticyclones, Cont. Shelf Res., 91, 171–191,
<a href="https://doi.org/10.1016/j.csr.2014.09.004" target="_blank">https://doi.org/10.1016/j.csr.2014.09.004</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib58"><label>58</label><mixed-citation>
Price, J. F., Baringer, M. O., Lueck, R. G., Johnson, G. C., Ambar, I.,
Parrilla, G., Cantos, A., Kennelly, M. A., and Sanford, T. B.: Mediterranean
Outflow Mixing and Dynamics, Science, 259, 1277–1282,
<a href="https://doi.org/10.1126/science.259.5099.1277" target="_blank">https://doi.org/10.1126/science.259.5099.1277</a>, 1993.
</mixed-citation></ref-html>
<ref-html id="bib1.bib59"><label>59</label><mixed-citation>
Prieto, L., Navarro, G., Rodríguez-Gálvez, S., Huertas, I. E.,
Naranjo, J. M., and Ruiz, J.: Oceanographic and meteorological forcing of
the pelagic ecosystem on the Gulf of Cadiz shelf (SW Iberian Peninsula),
Cont. Shelf Res., 29, 2122–2137, <a href="https://doi.org/10.1016/j.csr.2009.08.007" target="_blank">https://doi.org/10.1016/j.csr.2009.08.007</a>,
2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib60"><label>60</label><mixed-citation>
Puertos del Estado: HFR data, <a href="http://opendap.puertos.es/thredds/catalog/radar_local_huelva/catalog.html" target="_blank"/>, last access: 13 October 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib61"><label>61</label><mixed-citation>
Relvas, P. and Barton, E. D.: Mesoscale patterns in the Cape São Vicente
(Iberian Peninsula) upwelling region, J. Geophys. Res., 107, 3164,
<a href="https://doi.org/10.1029/2000JC000456" target="_blank">https://doi.org/10.1029/2000JC000456</a>, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib62"><label>62</label><mixed-citation>
Relvas, P. and Barton, E. D.: A separated jet and coastal counterflow during
upwelling relaxation off Cape São Vicente (Iberian Peninsula), Cont.
Shelf Res., 25, 29–49, <a href="https://doi.org/10.1016/j.csr.2004.09.006" target="_blank">https://doi.org/10.1016/j.csr.2004.09.006</a>, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib63"><label>63</label><mixed-citation>
Reul, A., Muñoz, M., Criado-Aldeanueva, F., and Rodríguez, V.:
Spatial distribution of phytoplankton  &lt; &thinsp;13&thinsp;µm in the Gulf of
Cádiz in relation to water masses and circulation pattern under westerly
and easterly wind regimes, Deep-Sea Res. Pt. II, 53,
1294–1313, <a href="https://doi.org/10.1016/j.dsr2.2006.04.008" target="_blank">https://doi.org/10.1016/j.dsr2.2006.04.008</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib64"><label>64</label><mixed-citation>
Ribas-Ribas, M., Gómez-Parra, A., and Forja, J. M.: Air–sea CO<sub>2</sub> fluxes
in the north-eastern shelf of the Gulf of Cádiz (southwest Iberian
Peninsula), Mar. Chem., 123, 56–66,
<a href="https://doi.org/10.1016/j.marchem.2010.09.005" target="_blank">https://doi.org/10.1016/j.marchem.2010.09.005</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib65"><label>65</label><mixed-citation>
Rivas, D.: Wind-driven coastal-trapped waves off southern Tamaulipas and
northern Veracruz, western Gulf of Mexico, during winter 2012–2013, Estuar.
Coast. Shelf Sc., 185, 1–10, <a href="https://doi.org/10.1016/j.ecss.2016.12.002" target="_blank">https://doi.org/10.1016/j.ecss.2016.12.002</a>,
2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib66"><label>66</label><mixed-citation>
Sánchez, R. F. and Relvas, P.: Spring–summer climatological circulation
in the upper layer in the region of Cape St. Vincent, Southwest Portugal,
ICES J. Mar. Sci., 60, 1232–1250,
<a href="https://doi.org/10.1016/S1054-3139(03)00137-1" target="_blank">https://doi.org/10.1016/S1054-3139(03)00137-1</a>, 2003.
</mixed-citation></ref-html>
<ref-html id="bib1.bib67"><label>67</label><mixed-citation>
Sánchez, R. F., Mason, E., Relvas, P., da Silva, A. J., and Peliz,
Á.: On the inner-shelf circulation in the northern Gulf of Cádiz,
southern Portuguese shelf, Deep-Sea Res. Pt. II, 53, 1198–1218,
<a href="https://doi.org/10.1016/j.dsr2.2006.04.002" target="_blank">https://doi.org/10.1016/j.dsr2.2006.04.002</a>, 2006.

</mixed-citation></ref-html>
<ref-html id="bib1.bib68"><label>68</label><mixed-citation>
Sánchez, R. F., Relvas, P., and Delgado, M.: Coupled ocean wind and sea
surface temperature patterns off the western Iberian Peninsula, J. Marine
Syst., 68, 103–127, <a href="https://doi.org/10.1016/j.jmarsys.2006.11.003" target="_blank">https://doi.org/10.1016/j.jmarsys.2006.11.003</a>, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib69"><label>69</label><mixed-citation>
Sánchez-Leal, R. F., Bellanco, M. J., Naranjo, C., García-Lafuente,
J., and González-Pola, C.: On the seasonality of waters below the
seasonal thermocline in the Gulf of Cádiz, Cont. Shelf Res., 204, 104190,
<a href="https://doi.org/10.1016/j.csr.2020.104190" target="_blank">https://doi.org/10.1016/j.csr.2020.104190</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib70"><label>70</label><mixed-citation>
Simpson, J. H. and Sharples, J.: Introduction to the Physical and Biological
Oceanography of Shelf Seas, in: Introduction to the Physical and Biological
Oceanography of Shelf Seas, Cambridge University Press, Cambridge, 306–313,
<a href="https://doi.org/10.1017/CBO9781139034098" target="_blank">https://doi.org/10.1017/CBO9781139034098</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib71"><label>71</label><mixed-citation>
Solabarrieta, L., Rubio, A., Castanedo, S., Medina, R., Charria, G., and
Hernández, C.: Surface water circulation patterns in the southeastern
Bay of Biscay: New evidences from HF radar data, Cont. Shelf Res., 74,
60–76, <a href="https://doi.org/10.1016/j.csr.2013.11.022" target="_blank">https://doi.org/10.1016/j.csr.2013.11.022</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib72"><label>72</label><mixed-citation>
Stevenson, R. E.: Huelva Front and Malaga, Spain, eddy chain as defined by
satellite and oceanographic data, Dtsch. Hydrogr. Zeitschrift, 30, 51–53,
<a href="https://doi.org/10.1007/BF02226082" target="_blank">https://doi.org/10.1007/BF02226082</a>, 1977.
</mixed-citation></ref-html>
<ref-html id="bib1.bib73"><label>73</label><mixed-citation>
Teles-Machado, A., Peliz, Á., Dubert, J., and Sánchez, R. F.: On the
onset of the Gulf of Cadiz Coastal Countercurrent, Geophys. Res. Lett., 34,
L12601, <a href="https://doi.org/10.1029/2007GL030091" target="_blank">https://doi.org/10.1029/2007GL030091</a>, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib74"><label>74</label><mixed-citation>
Vargas, J. M., García-Lafuente, J., Delgado, J., and Criado, F.: Seasonal
and wind-induced variability of Sea Surface Temperature patterns in the Gulf
of Cádiz, J. Marine Syst., 38, 205–219,
<a href="https://doi.org/10.1016/S0924-7963(02)00240-3" target="_blank">https://doi.org/10.1016/S0924-7963(02)00240-3</a>, 2003.
</mixed-citation></ref-html>--></article>
