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  <front>
    <journal-meta><journal-id journal-id-type="publisher">ESSD</journal-id><journal-title-group>
    <journal-title>Earth System Science Data</journal-title>
    <abbrev-journal-title abbrev-type="publisher">ESSD</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Earth Syst. Sci. Data</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1866-3516</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/essd-13-671-2021</article-id><title-group><article-title>A novel hydrographic gridded data set for the<?xmltex \hack{\break}?> northern Antarctic Peninsula</article-title><alt-title>A novel hydrographic gridded data set for the northern Antarctic Peninsula</alt-title>
      </title-group><?xmltex \runningtitle{A novel hydrographic gridded data set for the northern Antarctic Peninsula}?><?xmltex \runningauthor{T. S. Dotto et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff3">
          <name><surname>Dotto</surname><given-names>Tiago S.</given-names></name>
          <email>t.segabinazzi-dotto@uea.ac.uk</email>
        <ext-link>https://orcid.org/0000-0003-0565-6941</ext-link></contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2">
          <name><surname>Mata</surname><given-names>Mauricio M.</given-names></name>
          <email>mauricio.mata@furg.br</email>
        <ext-link>https://orcid.org/0000-0002-9028-8284</ext-link></contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2">
          <name><surname>Kerr</surname><given-names>Rodrigo</given-names></name>
          <email>rodrigokerr@furg.br</email>
        <ext-link>https://orcid.org/0000-0002-2632-3137</ext-link></contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2">
          <name><surname>Garcia</surname><given-names>Carlos A. E.</given-names></name>
          <email>dfsgar@furg.br</email>
        </contrib>
        <aff id="aff1"><label>1</label><institution>Laboratório de Estudos dos Oceanos e Clima, Instituto de
Oceanografia,<?xmltex \hack{\break}?> Universidade Federal do Rio Grande-FURG,  Rio Grande, Brazil</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Programa de Pós-Graduação em Oceanologia, Instituto de
Oceanografia, <?xmltex \hack{\break}?>Universidade Federal do Rio Grande-FURG, Rio Grande,  Brazil</institution>
        </aff>
        <aff id="aff3"><label>a</label><institution>now at: Centre for Ocean and Atmospheric Sciences, School of
Environmental Sciences,<?xmltex \hack{\break}?> University of East Anglia, Norwich, UK</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Tiago S. Dotto (t.segabinazzi-dotto@uea.ac.uk), Mauricio M. Mata
(mauricio.mata@furg.br), Rodrigo Kerr (rodrigokerr@furg.br), and Carlos A. E.
Garcia (dfsgar@furg.br)</corresp></author-notes><pub-date><day>26</day><month>February</month><year>2021</year></pub-date>
      
      <volume>13</volume>
      <issue>2</issue>
      <fpage>671</fpage><lpage>696</lpage>
      <history>
        <date date-type="received"><day>18</day><month>August</month><year>2020</year></date>
           <date date-type="rev-request"><day>23</day><month>September</month><year>2020</year></date>
           <date date-type="rev-recd"><day>20</day><month>January</month><year>2021</year></date>
           <date date-type="accepted"><day>21</day><month>January</month><year>2021</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2021 Tiago S. Dotto et al.</copyright-statement>
        <copyright-year>2021</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://essd.copernicus.org/articles/13/671/2021/essd-13-671-2021.html">This article is available from https://essd.copernicus.org/articles/13/671/2021/essd-13-671-2021.html</self-uri><self-uri xlink:href="https://essd.copernicus.org/articles/13/671/2021/essd-13-671-2021.pdf">The full text article is available as a PDF file from https://essd.copernicus.org/articles/13/671/2021/essd-13-671-2021.pdf</self-uri>
      <abstract><title>Abstract</title>
    <p id="d1e135">The northern Antarctic Peninsula (NAP) is a highly
dynamic transitional zone between the subpolar-polar and oceanic-coastal
environments, and it is located in an area affected by intense climate
change, including intensification and spatial shifts of the westerlies as
well as atmospheric and oceanic warming. In the NAP area, the water masses
originate mainly from the Bellingshausen and Weddell seas, which create a
marked regional dichotomy thermohaline characteristic. Although the NAP area
has relatively easy access when compared to other Southern Ocean
environments, our understanding of the water masses' distribution and the
dynamical processes affecting the variability of the region is still
limited. That limitation is closely linked to the sparse data coverage, as is
commonly the case in most Southern Ocean environments. This work
provides a novel seasonal three-dimensional high-resolution hydrographic
gridded data set for the NAP (version 1), namely the NAPv1.0. Hydrographic
measurements from 1990 to 2019 comprising data collected by conductivity,
temperature, depth (CTD) casts; sensors from the Marine Mammals
Exploring the Oceans Pole to Pole (MEOP) consortium; and Argo floats have been optimally
interpolated to produce maps of in situ temperature, practical salinity, and
dissolved oxygen at <inline-formula><mml:math id="M1" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 10 km spatial resolution and 90 depth
levels. The water masses and oceanographic features in this regional gridded
product are more accurate than other climatologies and state estimate
products currently available. The data sets are available in netCDF format
at <ext-link xlink:href="https://doi.org/10.5281/zenodo.4420006" ext-link-type="DOI">10.5281/zenodo.4420006</ext-link> (Dotto et al., 2021). The novel
and comprehensive data sets presented here for the NAPv1.0 product are a
valuable tool to be used in studies addressing climatological changes in the
unique NAP region since they provide accurate initial conditions for ocean
models and improve the end of the 20th- and early 21st-century ocean
mean-state representation for that area.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e157">The northern Antarctic Peninsula (NAP; Kerr et al., 2018a) encompasses the
Bransfield and Gerlache Straits, the northwestern Weddell Sea, the
southernmost Drake Passage and the northern end of the west Antarctic
Peninsula (WAP) environments (Fig. 1a). The NAP is a sensitive region to
climate changes because it is located under the influence of the westerly
winds, which are prone to current intensification and poleward migration
(Marshall, 2003; Swart and Fyfe, 2012; Lin et al., 2018). The region also
receives considerable freshwater input from the melting of glaciers from the
Antarctic Peninsula (Cook et al., 2016; Rignot et al., 2019). Moreover, the
NAP has been showing significant alterations in its water masses'
physicochemical properties, such as warming,<?pagebreak page672?> freshening, and acidification
(Gordon et al., 2000; Meredith and King, 2005; Hellmer et al., 2011; Dotto
et al., 2016; Kerr et al., 2018b; Lencina Avila et al., 2018; Ruiz Barlett
et al., 2018), a decline in sea ice extension, and a shortening of sea ice
cover season (Stammerjohn et al., 2008; Turner et al., 2013). Consequently, the local marine ecosystem is being impacted (Moline et al., 2004; Montes-Hugo et al., 2009; Mendes
et al., 2013; Ferreira et al., 2020).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1"><?xmltex \currentcnt{1}?><?xmltex \def\figurename{Figure}?><label>Figure 1</label><caption><p id="d1e162">Map of the northern Antarctic Peninsula (NAP). <bold>(a)</bold> Bathymetry of
the study region. South Shetland Islands (SSI), Antarctic Peninsula (AP),
Elephant Island (EI), Joinville Island (JI), D'Urville Island (DI), James
Ross Island (JRI), King George Island (KGI), Livingston Island (LI), Anvers
Island (AI), Philip Passage (PP), and South Orkney Island (SOI) are shown.
The coloured lines depict the sections used to analyse the NAPv1.0
climatology (see legend). Bathymetry from ETOPO1. The isobaths of 500, 1000,
3000, and 5000 m are shown by the grey line. <bold>(b)</bold> Schematic of the mean
circulation at the NAP. Blue (red) arrows show the cold (warm) water masses
that inflow in the region. The cyan arrow shows the Weddell Gyre circulation and
the dark blue arrow shows the path of the Antarctic Slope Front (ASF). Dotted blue
and red lines depict, respectively, the Peninsula Front (PF) and the
Bransfield Front (BF). The dashed line shows the recirculation around the SSI.
The Antarctic Circumpolar Current (ACC), the Southern ACC Front (SACCF), and
the southern boundary of the ACC (sbACC), are shown in orange tones. Within
the Bransfield Strait, the area is divided into the eastern basin (EB), central
basin (CB), and western basin (WB). The inset shows the study region among the
Weddell Sea, Bellingshausen Sea (BeS), and the Drake Passage (DP). Coastline
from SCAR Antarctic Digital Database.</p></caption>
        <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/671/2021/essd-13-671-2021-f01.png"/>

      </fig>

      <p id="d1e177">Water masses with different properties and origins reach the NAP and mix to
form the dense water masses that sink and fill the deep basins of the
Bransfield Strait (Gordon et al., 2000; Dotto et al., 2016; Huneke et al.,
2016; van Caspel et al., 2018). High-Salinity Shelf Water (HSSW) and Low-Salinity Shelf Water (LSSW) from the Weddell Sea enter the NAP from the
east, mainly contouring the Antarctic Peninsula (von Gyldenfeldt et al., 2002; Heywood et al., 2004; Thompson et al., 2009; Collares et al., 2018)
and then sinking along the slope and at the Bransfield Strait's several
canyons (van Caspel et al., 2018; Fig. 1b). A branch carrying modified HSSW
flows southwestward along the continental shelf to the west of the Antarctic
Peninsula and reaches as far as the Gerlache Strait (Sangrà et al., 2017;
Kerr et al., 2018b). Conversely, modified Circumpolar Deep Water (mCDW) from
the Bellingshausen Sea – a relatively warm, salty, nutrient-rich, and
deoxygenated water mass derived from the intermediate waters of the
Antarctic Circumpolar Current (ACC) and modified over the western Antarctic
Peninsula continental shelf – enters the NAP mainly through the Bransfield
Strait western basin (Smith et al., 1999; Ruiz Barlett et al., 2018),
flowing northeastward along the South Shetland Islands slope as the
Bransfield Current (Sangrà et al., 2011; Fig. 1b). The mCDW also
intrudes into the Bransfield Strait from the southern Drake Passage between
King George and Elephant islands (López et al., 1999; Gordon et al.,
2000). Therefore, a cyclonic circulation pattern is created within the
Bransfield Strait from currents of completely different origins defining a
strong transitional signature for that whole area (García et al.,
2002). Two main fronts are observed in this region: the Bransfield Front and
the Peninsula Front (Sangrà et al., 2011; Fig. 1b). The Bransfield Front
is the mid-depth front separating the warm waters flowing along with the
Bransfield Current and the cold waters within the deep basins of the
Bransfield Strait. The Peninsula Front separates, in shallow depths, the
cold waters from Weddell influence and the Bransfield Strait waters. In the
Gerlache Strait, mCDW from the Bellingshausen Sea also intrudes from the
south and through the gaps near Anvers Island (Smith et al., 1999;
García et al., 2002; Torres Parra et al., 2020; Fig. 1b). The mCDW
interacts with the HSSW-sourced waters and a relatively colder mixture
leaves the Gerlache Strait towards the western basin of the Bransfield
Strait (Niiler et al., 1991; Zhou et al., 2002; Savidge and Amft, 2009). In
the northwestern Weddell Sea, the Antarctic Slope Front separates the
coastal from the open ocean waters circulating within the Weddell Gyre
(Heywood et al., 2004). Part of the dense waters that circulate in the
Powell Basin eventually leak through the Philip Passage and are exported
from the Weddell Sea as Antarctic Bottom Water (Franco et al., 2007; Fig. 1b). Other routes of Antarctic Bottom Water export from the Weddell Sea are
the Orkney, Bruce, and Discovery passages located to the east of South
Orkney Island (Naveira Garabato et al., 2002).</p>
      <?pagebreak page673?><p id="d1e181">For at least the past fifty years, the deep waters of the Bransfield Strait
have shown significant trends of freshening and lightening, with impacts on
the volume of these regional dense waters (Azaneu et al., 2013; Dotto et
al., 2016; Ruiz Barlett et al., 2018). Considering that these waters are
formed by a parcel of <inline-formula><mml:math id="M2" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 60 %–80 % of HSSW<inline-formula><mml:math id="M3" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>LSSW (Gordon et
al., 2000; Dotto et al., 2016), the freshening signal may be driven by
modification of the water masses sourced in the Weddell Sea continental
shelf (van Caspel et al., 2015, 2018), possibly due to the melting of ice
shelves and glaciers in the Antarctic Peninsula (Cook et al., 2016; Rignot
et al., 2019). In addition, the decreasing sea ice concentration and
the shortening sea ice season in the NAP (Stammerjohn et al., 2008;
Turner et al., 2013) may also play a role in the freshening trend due to a
reduction of the salt flux into these shelf waters (Hellmer et al., 2011).</p>
      <p id="d1e198">Such a mixture of distinct water masses creates good conditions for the
development of a rich biological activity in the NAP. High concentrations of
phytoplankton have been documented in the Bransfield and Gerlache straits,
with implications for local carbon dioxide uptake (Costa et al., 2020;
Monteiro et al., 2020a, b). The high primary production also supports an
abundant krill stock (Atkinson et al., 2020), which is the base of the food
chain up to top predators (Seyboth et al., 2018). If the changes reported
for the region continue (e.g. sea ice cover and seasonality declining, land
ice melting, atmospheric and oceanic temperature warming), an
imbalance or even a collapse in the regional food chain is expected (Ferreira et al.,
2020). A change in the composition of phytoplankton, from diatoms to
cryptophytes, has already been observed in the NAP (Mendes et al., 2013) as
well as a reduction in the recruitment of juvenile krill and a general
decline of krill stocks in areas of the Atlantic sector of the Southern
Ocean, including the NAP (Atkinson et al., 2020).</p>
      <p id="d1e201">A better understanding of the NAP oceanic and shelf circulation, as well as
the connection to the Weddell and Bellingshausen seas, is important to help
assess the evolution and impacts of the ocean on the ice shelves and
glaciers melting downstream (Cook et al., 2016; Rignot et al., 2019).
Currently, the overall change in the glaciers' area is relatively small in
the Bransfield and Gerlache straits compared to the adjacent Bellingshausen
Sea coastline, which is under the influence of warmer waters. However,
changes in proportions of the inflowing water masses could potentially lead
these regions to a Bellingshausen Sea-like scenario, where warmer oceanic
conditions shape the local glacier fronts' behaviour and higher melting rates
are observed (Cook et al., 2016). Ruiz Barlett et al. (2018) suggest that
persistent northerly and westerly wind conditions, concurrent with La
Niña and positive phases of the Southern Annular Mode (SAM), are
favourable drivers for mCDW inflow into the NAP. These warm inflows are
likely facilitated by the poleward displacements of the oceanic fronts
associated with the ACC during La Niña events (Loeb et al., 2009).
Additionally, positive SAM may restrict the connections between the Weddell
Sea and the Bransfield Strait (Renner et al., 2012), with the potential of
reducing the inflow of cold waters into the NAP (Dotto et al., 2016). Also,
the changes in the ocean dynamics along the NAP driven by SAM and El
Niño–Southern Oscillation have been recently associated with the variability
of the dissolved organic carbon inventory (Avelina et al., 2020). The ongoing
changes in the Southern Hemisphere wind pattern, i.e. poleward and
intensification associated with positive trends in the SAM, and an increase
in the energetics of the ACC (Meredith and Hogg, 2006; Hogg et al., 2015)
could then lead to higher mCDW inflow into the NAP by advection (e.g. Ruiz
Barlett et al., 2018) and/or eddies shed by the ACC (Martinson and McKee,
2012; Couto et al., 2017). Although the strengthening of winds tends to
increase the inflow of warm waters toward the WAP continental shelf, it does
not necessarily mean higher ice shelf basal melting (except for the
shallower ice shelves). Conversely, models suggest a reduction of sea ice
concentration associated with an enhancement of the upper ocean heat fluxes
(Dinniman et al., 2012). In the NAP, mixing rate measurements are scarce,
hampering the understanding of how heat fluxes in the upper and deeper ocean
will respond to future wind changes in the region. In addition, there is
still a lack of information regarding the water masses' fluxes and mixing
between the Powell Basin in the Weddell Sea and the Bransfield Strait
(Thompson et al., 2009; Azaneu et al., 2017), which would help increase
our understanding of the complex coastal Antarctic system.</p>
      <p id="d1e204">In this context, forecasts of the evolution of the dynamics of these
regional seas and their interconnections in future climate change scenarios
are needed to better understand the integrated consequences, which are being
modified by the complex physical, chemical, and biological processes across
the NAP environments. In general, in situ measurements in the Southern Ocean
are scarce in space and time due to logistical constraints. Moreover, that
scarceness impacts a proper understanding of the oceanographic processes and
their interactions with the atmosphere and cryosphere, which requires robust
and long-term Southern Ocean observing systems to provide high-quality
measurements of the different ocean and cryosphere compartments (Meredith et
al., 2013; Newman et al., 2019). Hence, high-resolution regional models are
needed to integrate these data and to simulate future scenarios. In this
sense, quality-controlled gridded products to feed these models are
important to properly create the initial conditions in terms of the three-dimensional
structure of the water masses, which are needed to capture the main
oceanographic and glaciological interactions and, consequently, their future
evolution.</p>
      <p id="d1e207">Here, we present  version 1 of a hydrographic gridded product, called
NAPv1.0, comprising robust high-resolution measurements from different
platforms: ship-based measurements, Argo profilers and tagged marine mammals. The gridded
product covers the period from 1990 to 2019, and it has in situ temperature,
salinity, and dissolved oxygen fields. NAPv1.0 can be used for several
applications, including<?pagebreak page674?> input data for ocean and climate model
initialization and/or assessment and ocean reanalysis evaluation, as well as to
produce and reconstruct biogeochemical properties. Finally, the NAPv1.0
represents the ocean mean state on seasonal scales for the NAP in the end
20th-century and early 21st-century.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Hydrographic data and ancillary data set</title>
      <p id="d1e218">In situ temperature, practical salinity, and dissolved oxygen (DO) data from
five main sources were used to build the database for the gridded product.
Conductivity, temperature, depth (CTD) profiles were acquired from the World
Ocean Database (<uri>https://www.ncei.noaa.gov/products/world-ocean-database</uri>, last access: 13 November 2020) and
Pangaea (<uri>https://www.pangaea.de/</uri>, last access: 13 November 2020) for the period from 1990 to 2019. In
addition, CTD profiles from the Brazilian High Latitude Oceanography Group
(GOAL; Mata et al., 2018) are included for the years spanning from 2003 to
2019 while data from Hutchinson et al. (2020;
<ext-link xlink:href="https://doi.org/10.5281/zenodo.3357972" ext-link-type="DOI">10.5281/zenodo.3357972</ext-link>) are included for the region off the
Larsen C Ice Shelf. Since 2003, the GOAL has been conducting research
cruises on a quasi-annual basis in the NAP area during summer periods. Most
of the efforts have focused on the Bransfield and Gerlache straits, due to
their relatively easier access, logistics, and favourable meteo-oceanographic
conditions. Argo floats data were retrieved from the Coriolis website
(<uri>http://www.coriolis.eu.org/</uri>, last access: 16 November 2020). Profiles from tagged marine mammals were
obtained from the consortium Marine Mammals Exploring the Oceans Pole to
Pole (MEOP; <uri>http://www.meop.net/</uri>, last access: 13 November 2020). Although all platforms measure in situ
temperature and conductivity data, only CTD and Argo provide DO. The study
region was limited to 42–68<inline-formula><mml:math id="M4" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W and 59.5–66<inline-formula><mml:math id="M5" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S, and the time span was from 1990 to 2019 (Fig. 2). The
data sets were grouped in different seasons to allow a better representation
of the region: summer (January to March), autumn (April to June), winter
(July to September), and spring (October to December). Only reliable data
according to the quality flags of each data set were used. In addition, a
visual inspection was carried out to double check any spurious data. Once
the profiles were quality controlled, each profile was linearly interpolated
onto 90 standard depths ranging from 5 to 6000 m depth (Table 1). The
depth spacing ranges from 5 m in the upper 50 to 500 m below 4000 m depth
in oceanic regions. The spacing between layers were arbitrarily selected.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><?xmltex \currentcnt{2}?><?xmltex \def\figurename{Figure}?><label>Figure 2</label><caption><p id="d1e257">Distribution of the hydrographic data sets used to build the
NAPv1.0 climatology in <bold>(a)</bold> summer, <bold>(b)</bold> autumn, <bold>(c)</bold> winter, and <bold>(d)</bold> spring. CTD (black), MEOP (red), and Argo (cyan) casts are shown. The data
set was restricted to 1990 to 2019. The ETOPO1 isobaths of 500, 1000, 3000, and 5000 m are depicted by grey lines. Coastline from SCAR Antarctic Digital
Database.</p></caption>
        <?xmltex \igopts{width=483.69685pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/671/2021/essd-13-671-2021-f02.png"/>

      </fig>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1"><?xmltex \currentcnt{1}?><?xmltex \def\figurename{Table}?><label>Table 1</label><caption><p id="d1e281">Standard depth levels (m) used to linearly interpolate the profiles
and the gridded data set.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="3">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Level number</oasis:entry>
         <oasis:entry colname="col2">Depth interval</oasis:entry>
         <oasis:entry colname="col3">Depth range</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">1 to 10</oasis:entry>
         <oasis:entry colname="col2">5 m</oasis:entry>
         <oasis:entry colname="col3">5–50 m</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">11 to 30</oasis:entry>
         <oasis:entry colname="col2">10 m</oasis:entry>
         <oasis:entry colname="col3">60–250 m</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">31 to 52</oasis:entry>
         <oasis:entry colname="col2">25 m</oasis:entry>
         <oasis:entry colname="col3">275–800 m</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">53 to 66</oasis:entry>
         <oasis:entry colname="col2">50 m</oasis:entry>
         <oasis:entry colname="col3">850–1500 m</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">67 to 81</oasis:entry>
         <oasis:entry colname="col2">100 m</oasis:entry>
         <oasis:entry colname="col3">1600–3000 m</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">82 to 86</oasis:entry>
         <oasis:entry colname="col2">200 m</oasis:entry>
         <oasis:entry colname="col3">3200–4000 m</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">87 to 90</oasis:entry>
         <oasis:entry colname="col2">500 m</oasis:entry>
         <oasis:entry colname="col3">4500–6000 m</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d1e399">A total of 37 009 profiles of in situ temperature and 32 562 of salinity were
used in this study (Fig. 3a–b). Most of these data were sampled by MEOP,
followed by CTD and Argo. In autumn and winter, the amount of data collected
by MEOP can be as high as 18 times compared to the other platforms. Summer
and autumn were the seasons with the higher amount of data collected,
followed by winter and spring. Note, however, that the high amount of data
in autumn and winter is due to MEOP measurements (Fig. 3). In regards of DO,
a total of 1810 profiles were used (Fig. 3c). Most of the data were sampled
in summer by ship-based CTD. From this total, 701 DO profiles were acquired
from GOAL in the Bransfield and Gerlache straits, eastern Bellingshausen Sea,
and northwestern Weddell Sea (Kerr et al., 2018a). All years, except 2012,
were covered by CTD temperature and salinity samples (Fig. S1a–b in the Supplement). Argo and
MEOP data were available from 2002 and 2008, respectively, for the study
region (Fig. S1 in the Supplement). DO had a better sampling covering after 2003, when the
GOAL carried out studies in the region quasi-annually (Fig. S1c in the Supplement).</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F3" specific-use="star"><?xmltex \currentcnt{3}?><?xmltex \def\figurename{Figure}?><label>Figure 3</label><caption><p id="d1e404"><bold>(a)</bold> The number of in situ temperature profiles per season and platform
(CTD in blue, MEOP in red, and Argo in green) for the study region. <bold>(b)</bold> Same
as panel <bold>(a)</bold>, but for practical salinity. <bold>(c)</bold> Same as panel <bold>(a)</bold>, but for
dissolved oxygen. MEOP platforms do not carry oxygen sensors. The black
shading in the summer bars shows the contribution of GOAL profiles. The total
number of profiles is shown in each panel title, the total number of
profiles per season is shown in black in the right upper corner of each
panel, and the total number of profiles per platform in shown by colours in
the left upper corner of each panel. Note the different <inline-formula><mml:math id="M6" display="inline"><mml:mi>y</mml:mi></mml:math></inline-formula>-axis scales for
the dissolved oxygen. <bold>(d)</bold> Total number of samples per depth for in situ
temperature considering all platforms in summer (red), autumn (cyan), winter
(blue), and spring (green). <bold>(e)</bold> Same as panel <bold>(d)</bold>, but for practical
salinity. <bold>(f)</bold> Same as panel <bold>(d)</bold>, but for dissolved oxygen.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/671/2021/essd-13-671-2021-f03.png"/>

      </fig>

      <p id="d1e450">Most of the samples were collected in the upper ocean (up to <inline-formula><mml:math id="M7" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 2000 m depth; Fig. 3d–f). This happens because Argo profiles have a limit
depth range up to 2000 m and the MEOP data are mostly restricted to the
upper <inline-formula><mml:math id="M8" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1000 m due to the physiology and behaviour of the
animals (Fig. S2 in the Supplement). Below 2000 m depth, our climatology relies only on CTD
data. Consequently, seasons with reduced CTD profiles will have less
representativeness. In addition, the study region is dominated by shallow
seas (Fig. 1a), and deep areas are found only adjacent to the Antarctic
Peninsula. The first standard depth (i.e. 5 m) had fewer samples than the
second standard depth (i.e. 10 m). For this reason, we repeated the second
level in the gridded product as our first level.</p>
      <?pagebreak page675?><p id="d1e467">The different platforms have different accuracies. The initial CTD accuracy
reported for the World Ocean Database typically ranges
from <inline-formula><mml:math id="M9" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.001–0.005 <inline-formula><mml:math id="M10" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C for temperature and approximately
<inline-formula><mml:math id="M11" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.003–0.02 for salinity (Boyer et al., 2018). For the Pangaea data
set, the accuracy is documented as <inline-formula><mml:math id="M12" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.001 <inline-formula><mml:math id="M13" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C for
temperature and approximately <inline-formula><mml:math id="M14" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.003 for salinity (Driemel et al.,
2017). The accuracy of the GOAL CTD data is also <inline-formula><mml:math id="M15" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.001 <inline-formula><mml:math id="M16" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C
and <inline-formula><mml:math id="M17" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.003 for temperature and salinity, respectively. For the DO,
the accuracy can be 2 % of saturation or more, depending the sensor (Boyer
et al., 2018). The GOAL DO data showed a mean absolute difference of
<inline-formula><mml:math id="M18" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.09 mL L<inline-formula><mml:math id="M19" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> between the double sensors used in the
cruises. The accuracy of the delayed-mode Argo is <inline-formula><mml:math id="M20" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.002 <inline-formula><mml:math id="M21" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C
and <inline-formula><mml:math id="M22" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.01 for temperature and salinity, respectively (Wong et al.,
2020). The initial accuracy of the Argo DO sensors range from 2 %–5 % of
saturation, according to the manufacturers. The CTD satellite relay data
logger (CTD-SRDL) from MEOP is reported to have an accuracy of <inline-formula><mml:math id="M23" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.02–0.04 <inline-formula><mml:math id="M24" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C for temperature and <inline-formula><mml:math id="M25" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.03 for salinity
(Treasure et al., 2017; Siegelman et al., 2019).</p>
      <p id="d1e606">Given the higher resolution and accuracy, the CTD data were used for a
reasonableness check to verify if the gridded products can represent the
expected and accepted values of the hydrographic properties in the NAP. For
this exercise, we chose to compare only those CTD profiles closer than
<inline-formula><mml:math id="M26" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 6 km from each grid point of the climatologies evaluated.
In addition, we present a section comparing different climatologies for the
NAP. Summer-averaged temperature and salinity from the World Ocean Atlas
2018 (WOA; <uri>https://www.ncei.noaa.gov/access/world-ocean-atlas-2018/</uri>, last access: 23 December 2020;
Locarnini et al., 2019; Zweng et al., 2019) was used for comparison with the
NAPv1.0 results. WOA has a spatial resolution of <inline-formula><mml:math id="M27" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M28" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> and 102
vertical levels. DO is available only in coarser resolution, thus it is not
used here. The Commonwealth Scientific and Industrial Research Organisation
(CSIRO) Atlas of Regional Seas (CARS;
<uri>http://www.marine.csiro.au/~dunn/cars2009/</uri>, last access: 29 January 2020; Ridgway et al.,
2002) was also used in the same way. CARS has a spatial resolution of
<inline-formula><mml:math id="M29" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M30" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>, 79 vertical levels and it comprises gridded fields of the
mean ocean temperature, salinity, and DO. The summer season mean conditions
are estimated from the annual and semi-annual coefficients distributed with
the climatological fields; however, these coefficients are limited to the
mid- and upper levels. Finally, the Southern Ocean State Estimate (SOSE;
<uri>http://sose.ucsd.edu/</uri>, last access: 20 April 2020; Mazloff et al., 2010), coupled with the
biogeochemical–sea-ice–ocean state estimate (Verdy and Mazloff, 2017), was
used to compare with our regional gridded product. Outputs from the months January, February, and March, from the iterations 106 and 133, were averaged to produce a
summer mean state for the period 2008–2018 (the biogeochemical outputs are
not available prior to this period). Potential temperature, salinity, and DO
were selected with a spatial resolution of <inline-formula><mml:math id="M31" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M32" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> and 52 vertical
levels. Conservative temperature (<inline-formula><mml:math id="M33" display="inline"><mml:mi mathvariant="normal">Θ</mml:mi></mml:math></inline-formula>), absolute salinity (<inline-formula><mml:math id="M34" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">A</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>)
and neutral density (<inline-formula><mml:math id="M35" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">γ</mml:mi><mml:mi mathvariant="normal">n</mml:mi></mml:msup></mml:mrow></mml:math></inline-formula>) were then computed for all data sets
prior to the assessment (Jackett and McDougall, 1997; McDougall and Barker,
2011).</p>
</sec>
<?pagebreak page677?><sec id="Ch1.S3">
  <label>3</label><title>Methods</title>
      <p id="d1e724">The scattered hydrographic data were objectively interpolated onto a regular
grid of <inline-formula><mml:math id="M36" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 10 km resolution. The grid spacing is
0.09<inline-formula><mml:math id="M37" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> along latitudes and 0.2<inline-formula><mml:math id="M38" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> along longitudes (i.e.
0.09<inline-formula><mml:math id="M39" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> latitude <inline-formula><mml:math id="M40" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 0.09<inline-formula><mml:math id="M41" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula><inline-formula><mml:math id="M42" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula>cos(63<inline-formula><mml:math id="M43" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S)
longitude, where 63<inline-formula><mml:math id="M44" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S is the mean latitude of our domain). The
limits of the domain are 59.5 to 66<inline-formula><mml:math id="M45" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S and
42 to 68<inline-formula><mml:math id="M46" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W. The study region covers the transitional
oceanographic regimes between the adjacent areas and the NAP, hence
representing in more detail the regional oceanic features. We note that
even with the addition of distinct platforms, the area of the western
Weddell Sea is still poorly sampled (Fig. 2). Due to this lack of data
coverage, we masked that region from the climatology. Bathymetry and land
masks were applied using the 1 arcmin ETOPO1 Ice Surface data set
(<uri>https://www.ngdc.noaa.gov/mgg/global/</uri>, last access: 15 August 2015) interpolated onto a grid of the same
resolution.</p>
      <p id="d1e824">The objective interpolation uses scattered observations to generate a
regular gridded and smoothed version of the original data field analysed
(Bretherton et al., 1976; Thomson and Emery, 2014). The method is based on
the Gauss–Markov theorem, which consists of an application of linear
estimation techniques for interpolating data from the multiple platforms
combined. While this improves the spatial coverage, it also smooths out the
temporal and spatial variability, resulting in a pattern that is more
representative of the large-scale mean state rather than of a specific
period. The interpolation of each grid point is affected by the neighbouring
data that fall within the smoothing lengthscales (or radius of influence)
and the relative error chosen a priori. The interpolation method also
assumes a weight to sum all observations within a specific smoothing
lengthscale. The weight is a function of the distance to the grid point and
the location of the observation only. Because the objective interpolation
fits a Gaussian function, the nearest neighbours have higher weight than the
data located closer to the edge of the radius of influence. A series of
tests were made to find the appropriate smoothing lengthscale and the a
priori relative error in order to find a balance between smoothness and
feature representativeness. The final smoothing lengthscale chosen (i.e. the radius
of influence of the interpolation) was 1<inline-formula><mml:math id="M47" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> in latitude and
longitude, and the a priori relative error allowed was set to 0.2 for the
objective interpolation algorithm. The same constants were set for all depth
levels, all variables (i.e. in situ temperature, practical salinity and DO),
and all seasons. Regions where the mapping relative error was higher than
0.5 were excluded. The matrices of relative errors are provided together
with the gridded variables so the user can choose the relative error level
to work with (between 0 and 0.5). The representativeness of the interpolated
maps decreases as the number of measurements being used reduces. This is
reflected in higher relative errors, such as those seen closer to the (i) Weddell
Sea, (ii) regions where the gaps between data are large, and (iii) at deeper
levels (Fig. 4). The reduction of the amount of data among the seasons also
affects the interpolation, mainly in the deeper levels where fewer CTD
profiles are available (Fig. 4). In regions of the upper ocean where a vast
number of MEOP profiles are available (i.e. Bransfield Strait, Gerlache
Strait, and WAP), the errors are comparable among the seasons (Fig. 4). For
the purposes of this study, <inline-formula><mml:math id="M48" display="inline"><mml:mi mathvariant="normal">Θ</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M49" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">A</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, and <inline-formula><mml:math id="M50" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">γ</mml:mi><mml:mi mathvariant="normal">n</mml:mi></mml:msup></mml:mrow></mml:math></inline-formula> are
presented.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><?xmltex \currentcnt{4}?><?xmltex \def\figurename{Figure}?><label>Figure 4</label><caption><p id="d1e867">The relative error for in situ temperature calculated in the objective
interpolation at 10 m (left panels) and 1000 m (right panels) depth for <bold>(a)</bold>
summer, <bold>(b)</bold> autumn, <bold>(c)</bold> winter, and <bold>(d)</bold> spring. The relative error of 0.05 is
marked by the blue line. Areas where the relative error is <inline-formula><mml:math id="M51" display="inline"><mml:mrow><mml:mi mathvariant="italic">&gt;</mml:mi><mml:mn mathvariant="normal">0.5</mml:mn></mml:mrow></mml:math></inline-formula>
are blank. The ETOPO1 isobaths of 500, 1000, 3000, and 5000 m are depicted
by black lines. Coastline from SCAR Antarctic Digital Database.</p></caption>
        <?xmltex \igopts{width=455.244094pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/671/2021/essd-13-671-2021-f04.png"/>

      </fig>

</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Results and discussion</title>
<sec id="Ch1.S4.SS1">
  <label>4.1</label><title>Reasonableness check of the gridded product </title>
      <p id="d1e913">The term reasonableness check is used here to ensure that the gridded data
set meets the expected range, type, or value based on its individual
measurements. We want to examine how reasonably the NAPv1.0 can represent
the CTD profiles closer than <inline-formula><mml:math id="M52" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 6 km from each grid point.
Although the data sets are not independent, this comparison shows how well
the interpolation captured the real data set's magnitude, structure, and
spatial variability.</p>
      <p id="d1e923">The NAPv1.0 shows a good agreement with the CTD profiles for the
hydrographic parameters. Approximately 62 %, 70 %, 74 %, and 65 % of
the data points fall within the difference range of <inline-formula><mml:math id="M53" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.2 <inline-formula><mml:math id="M54" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C
for summer, autumn, winter, and spring, respectively (Fig. 5a). The higher
percentage of agreement in autumn and winter is due to the reduced number of
CTD profiles in those seasons, which become more influential in the
interpolation in those cases. The higher <inline-formula><mml:math id="M55" display="inline"><mml:mi mathvariant="normal">Θ</mml:mi></mml:math></inline-formula> difference, as expected,
occurs in the upper ocean due to interannual variability (Mendes et al.,
2013; Gonçalves Araújo et al., 2015) that is smoothed out in the
interpolation process (Fig. S3a–b in the Supplement).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5"><?xmltex \currentcnt{5}?><?xmltex \def\figurename{Figure}?><label>Figure 5</label><caption><p id="d1e951"><bold>(a)</bold> Histogram showing the percentage of the residual difference of
conservative temperature (<inline-formula><mml:math id="M56" display="inline"><mml:mi mathvariant="normal">Θ</mml:mi></mml:math></inline-formula>; <inline-formula><mml:math id="M57" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) samples between the
NAPv1.0 and the CTDs closer than <inline-formula><mml:math id="M58" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 6 km from each grid point at
0.1 <inline-formula><mml:math id="M59" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C bins interval per season. The seasonal difference is shown
by colour: summer (red), autumn (cyan), winter (blue), and spring (green).
The number of samples per season is shown in the upper left corner of the panel
according to the respective colours. <bold>(b)</bold> Same as panel <bold>(a)</bold>, but for absolute
salinity (<inline-formula><mml:math id="M60" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">A</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>; g kg<inline-formula><mml:math id="M61" 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 0.02 g kg<inline-formula><mml:math id="M62" 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> bins. <bold>(c)</bold> Same as panel
<bold>(a)</bold>, but for dissolved oxygen (DO; mL L<inline-formula><mml:math id="M63" 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 0.1 mL L<inline-formula><mml:math id="M64" 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> bins.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/671/2021/essd-13-671-2021-f05.png"/>

        </fig>

      <p id="d1e1068">A good agreement between the NAPv1.0 and the CTD profiles is also observed
for <inline-formula><mml:math id="M65" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">A</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>. Approximately 67 %, 74 %, 84 %, and 75 % of the data
points fall within the difference range of <inline-formula><mml:math id="M66" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.04 g kg<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> for
summer, autumn, winter, and spring, respectively (Fig. 5b). The <inline-formula><mml:math id="M68" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">A</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>
differences over the water column are also higher in the upper levels due to
the interannual variability and smaller towards the deep ocean (Fig. S3c–d in the Supplement), where the interannual variability tends to be relatively smaller
(Dotto et al., 2016; Ruiz Barlett et al., 2018).</p>
      <p id="d1e1112">With regards to DO, approximately 65 %, 87 %, 87 %, and 80 % of the
data points fall within the difference range of <inline-formula><mml:math id="M69" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.2 mL L<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> for
summer, autumn, winter, and spring, respectively (Fig. 5c), which clearly
suggests the influence of less data affecting the resemblance between the
gridded product and the CTD stations. The NAPv1.0 shows relatively higher
differences related to DO data, which is a non-conservative property. The
largest differences are observed in the upper ocean, but also along the
water column where it is not uncommon to observe differences of up to
<inline-formula><mml:math id="M71" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.5 mL L<inline-formula><mml:math id="M72" 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. S3e–f in the Supplement). The histograms previously presented
(Fig. 3 and Figs.  S1 and S2 in the Supplement)<?pagebreak page678?> show evidence of the weaker representation of DO compared to
the other properties in autumn, winter, and spring.</p>
</sec>
<sec id="Ch1.S4.SS2">
  <label>4.2</label><title>Representation of the main hydrographic features in the NAP</title>
      <p id="d1e1161">The NAPv1.0 represents qualitatively well the surface thermal dichotomy
regime of the NAP waters: a warm variety with Bellingshausen Sea and ACC
influence to the west and a cold Weddell Sea-sourced water to the east
(Fig. 6a).<?pagebreak page679?> A surface thermal front that splits these two regimes near the
Antarctic Peninsula, likely depicting the Peninsula Front (López et al.,
1999; Sangrà et al., 2011), is more visible in summer (Fig. 6a–d). On the
surface, the coastal Weddell Sea-sourced waters are saltier and denser
compared to the warm waters to the west of the NAP (Figs. 6e–h and 7a–d).
Thus, the Peninsula Front seems to be baroclinic (Sangrà et al., 2011).
The DO is relatively supersaturated everywhere, with higher concentrations
found close to the James Ross Island, the Gerlache Strait, and the northern
end of the WAP (Fig. 7e–h). These regions are generally associated with high
primary productivity, which could explain the relatively higher values of DO
(Mendes et al., 2012; Detoni et al., 2015; Costa et al., 2020). Seasonally,
the NAPv1.0 represents a general decrease in <inline-formula><mml:math id="M73" display="inline"><mml:mi mathvariant="normal">Θ</mml:mi></mml:math></inline-formula>, an increase in <inline-formula><mml:math id="M74" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">A</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>
due to sea ice formation in the region, and consequently a <inline-formula><mml:math id="M75" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">γ</mml:mi><mml:mi mathvariant="normal">n</mml:mi></mml:msup></mml:mrow></mml:math></inline-formula>
gain from autumn to winter (Figs. 6 and 7a–d). In spring, <inline-formula><mml:math id="M76" display="inline"><mml:mi mathvariant="normal">Θ</mml:mi></mml:math></inline-formula>
increases and <inline-formula><mml:math id="M77" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">A</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M78" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">γ</mml:mi><mml:mi mathvariant="normal">n</mml:mi></mml:msup></mml:mrow></mml:math></inline-formula> decrease slightly due to sea ice
melting in the upper layers (Figs. 6 and 7a–d). The DO field is less
represented in seasons other than summer because of less availability
of in situ data (Fig. 7e–h).</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F6" specific-use="star"><?xmltex \currentcnt{6}?><?xmltex \def\figurename{Figure}?><label>Figure 6</label><caption><p id="d1e1225">Surface maps of NAPv1.0 at 10 m depth for conservative temperature
(<inline-formula><mml:math id="M79" display="inline"><mml:mi mathvariant="normal">Θ</mml:mi></mml:math></inline-formula>; <inline-formula><mml:math id="M80" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) in <bold>(a)</bold> summer, <bold>(b)</bold> autumn, <bold>(c)</bold> winter, and <bold>(d)</bold>
spring. The 10 m absolute salinity (<inline-formula><mml:math id="M81" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">A</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, g kg<inline-formula><mml:math id="M82" 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 <bold>(e)</bold> summer, <bold>(f)</bold>
autumn, <bold>(g)</bold> winter, and <bold>(h)</bold> spring. The ETOPO1 isobaths of 500, 1000, 3000, and 5000 m are depicted by the black lines. Coastline from SCAR Antarctic
Digital Database.</p></caption>
          <?xmltex \igopts{width=483.69685pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/671/2021/essd-13-671-2021-f06.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><?xmltex \currentcnt{7}?><?xmltex \def\figurename{Figure}?><label>Figure 7</label><caption><p id="d1e1301">Surface maps of NAPv1.0 at 10 m depth for neutral density (<inline-formula><mml:math id="M83" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">γ</mml:mi><mml:mi mathvariant="normal">n</mml:mi></mml:msup></mml:mrow></mml:math></inline-formula>; kg m<inline-formula><mml:math id="M84" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) in <bold>(a)</bold> summer, <bold>(b)</bold> autumn, <bold>(c)</bold> winter, and <bold>(d)</bold> spring.
The 10 m dissolved oxygen (DO, mL L<inline-formula><mml:math id="M85" 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 <bold>(e)</bold> summer, <bold>(f)</bold> autumn, <bold>(g)</bold>
winter, and <bold>(h)</bold> spring. The ETOPO1 isobaths of 500, 1000, 3000, and 5000 m are depicted by the black lines. Coastline from SCAR Antarctic Digital
Database.</p></caption>
          <?xmltex \igopts{width=483.69685pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/671/2021/essd-13-671-2021-f07.png"/>

        </fig>

      <p id="d1e1371">In deeper layers, the dichotomy regime of the NAP is still evident,
reflecting the presence of warm and salty waters associated with the CDW to
the west of the NAP and the Warm Deep Water (WDW; a warm, salty, and
poorly oxygenated intermediate water mass presented in the Weddell Sea and
derived from the mixing between CDW and Winter Water) within the offshore
zone of the Weddell Sea and Powell Basin (Figs. S4–S7 in the Supplement). Intrusions of mCDW
are observed in the eastern Bellingshausen Sea through deep channels,
reaching the Gerlache Strait and the western basin of the Bransfield Strait
(Figs. S4a–S7a in the Supplement). After entering the Bransfield Strait, the mCDW warm signal
follows the slope of the South Shetland Islands as the narrow Bransfield
Current (Niiler et al., 1991; López et al., 1999; Zhou et al., 2006;
Sangrà et al., 2011). However, given the lengthscales chosen, this
current is not well represented in the NAPv1.0. Although the routes of mCDW
inflow are relatively well known, few studies focused on the periodicity of
these inflows into the NAP (e.g. Ruiz Barlett et al., 2018) or on the fast
response of these inflows associated with the wind forcing (e.g. McKee and
Martinson, 2020a). WDW is another water mass that composes the deep waters
of the Bransfield Strait (Gordon et al., 2000). Although the NAPv1.0
suggests the existence of an intrusion of this water mass into the eastern
basin at <inline-formula><mml:math id="M86" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 61.5<inline-formula><mml:math id="M87" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S and 55<inline-formula><mml:math id="M88" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W (Fig. S4e in the Supplement),
we still need to increase our comprehension of the contribution to the water
mass mixture and the access routes of WDW into the Bransfield Strait via
Powell Basin to resolve the local circulation in more detail (e.g.
Thompson et al., 2009; Azaneu et al., 2017). The comprehension of these
mechanisms is important to better resolve the heat, salt, and carbon fluxes
into the NAP.</p>
      <?pagebreak page682?><p id="d1e1399">In all seasons, the Bransfield Strait is colder, fresher, denser, and
oxygen-richer compared to the adjacent regions in deeper basins (Figs. S4–S7 in the Supplement) and is associated with the higher contribution of HSSW (Gordon et
al., 2000; Dotto et al., 2016). Moreover, the water masses in the Bransfield
Strait central basin are also slightly denser than in the eastern basin
(e.g. Fig. S4g in the Supplement), suggesting a different origin of these waters (Gordon et
al., 2000; van Caspel et al., 2018). The NAPv1.0 represents quite well a
narrow cold and oxygen saturated path along the continental slope of the
Weddell Sea at 500 m depth (Fig. S4a–d in the Supplement). At the Powell Basin, these water
masses follow the bathymetry and enter the Bransfield Strait, thus
connecting the Weddell Sea and the NAP (Heywood et al., 2004). Although
slightly less visible than in summer, the narrow thermal signal along the
continental slope of the Weddell Sea is observed entering the Bransfield
Strait in autumn and spring (Figs. S5a–S7a in the Supplement). In winter, likely due to
limited in situ data, this signal is not totally clear (Fig. S6 in the Supplement). These
dense waters that flood the central NAP deep levels seem to follow the
shortcuts of the canyons that cut across the Antarctic Peninsula continental
shelf in the Bransfield Strait (Figs. S4–S7 in the Supplement). The higher DO in that deep
region indicates a fast route of Weddell Sea shelf waters and hence a
relatively small residence time (van Caspel et al., 2015, 2018). At deeper
levels, the bathymetric constraints restrict the connection of the shelf
waters from the Weddell Sea, and the dense waters that sink into the
Bransfield Strait retain their quasi-pure properties (Figs. S4e–S7e in the Supplement;
Gordon et al., 2000; Dotto et al., 2016). The horizontal maps clearly show
the importance of the Bransfield Strait in trapping the shelf waters of the
Weddell Sea, making it an in situ laboratory to study temporal changes of
these water masses. Given the spatial scales and the smoothing following the
gridding procedure, Bransfield Strait mesoscale and submesoscale eddies
(Sangrà et al., 2011) are not observed in the NAPv1.0.</p>
      <p id="d1e1402">To exemplify the representation of the water column of NAPv1.0, we selected
six sections crossing different parts of the NAP and adjacent regions (Fig. 1a). To the southwest of the Bransfield Strait, along the section between
Livingston Island and the Antarctic Peninsula, relatively warmer conditions
are observed from the upper ocean to the bottom layers (Fig. 8a). An
intrusion of mCDW is observed between 62.7–62.8<inline-formula><mml:math id="M89" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S, where the
isotherms are sharply tilted towards the South Shetland Islands (Fig. 8a),
<inline-formula><mml:math id="M90" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">A</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is above 34.72 g kg<inline-formula><mml:math id="M91" 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. 8b), and the DO is relatively low
<inline-formula><mml:math id="M92" display="inline"><mml:mrow><mml:mi mathvariant="italic">&lt;</mml:mi><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:math></inline-formula> mL L<inline-formula><mml:math id="M93" 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. 8d). The tilt of the isotherms is a signature
of the Bransfield Front, which in turn is associated with the mid-depth
Bransfield Current (Niiler et al., 1991; López et al., 1999; Sangrà
et al., 2011). In the section between King George Island and the
Antarctic Peninsula the warm, salty, and deoxygenated mCDW is still present;
however, it is located in slightly shallower levels (Fig. 8e–h). Towards the
bottom, <inline-formula><mml:math id="M94" display="inline"><mml:mi mathvariant="normal">Θ</mml:mi></mml:math></inline-formula> decreases to the lowest values in the region,
characterizing the Bransfield Strait central basin. In this section, the
surface Peninsula Front is visible and associated with the cold regime from the
western Weddell Sea continental shelf. In both sections, the dome-like shape
of the isopycnals supports the cyclonic gyre presence in the region (Fig. 8c, g; Zhou et al., 2002; Sangrà et al., 2011; Collares et al., 2018).
The circulation, mixing rates, and turbulent processes are poorly explored in
the NAP, thus there is a need for further studies on these processes to
better comprehend the local water mass transformation in the different depth
layers (e.g. Brearley et al., 2017) as it ultimately impacts the
physicochemical properties and biology of the region. The NAPv1.0 also
distinguishes well the difference between the central and eastern basins of
the Bransfield Strait (Fig. 8i–l). Colder, denser, and more oxygenated deep
waters are observed in the former basin, whereas the latter is relatively
warmer, lighter, and less oxygenated. This dichotomy occurs because the
central basin has restricted connections with the adjacent regions due to
bathymetric constrains and it also receives more contribution from HSSW than
the eastern basin (Gordon et al., 2000; Dotto et al., 2016). Within the
Bransfield Strait, more mCDW accesses the region in autumn coming from
Livingston Island and reaching the eastern basin, increasing temperature and
salinity in deep waters in all basins (Fig. S8 in the Supplement). Moreover, the Peninsula
Front migrates toward the South Shetland Islands due to higher inflow of
Weddell-sourced waters (Fig. S8e in the Supplement) until it vanishes in winter due to surface
cooling (Fig. S9d in the Supplement). In spring, the hydrographic properties of the Bransfield
Strait resemble more those of summer in subsurface levels (Fig. S10 in the Supplement).
Although the winter DO suggests the presence of deep convection in the
eastern basin, the distribution of the isopycnals refutes this idea, which
reinforces the conclusion of Whitworth et al. (1994) that it is unlikely
that deep convection occurs in Bransfield Strait. Due to lack of data from
autumn to spring, we will focus on the summer conditions.</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F8" specific-use="star"><?xmltex \currentcnt{8}?><?xmltex \def\figurename{Figure}?><label>Figure 8</label><caption><p id="d1e1469">Summer vertical sections crossing the Bransfield Strait between
Livingston Island and the Antarctic Peninsula (<bold>a–d</bold>; red line in Fig. 1a), King George Island and the Antarctic Peninsula (<bold>e–h</bold>; blue line in Fig. 1a), and along the Bransfield Strait (<bold>i–l</bold>; black line in Fig. 1a).
Conservative temperature (<inline-formula><mml:math id="M95" display="inline"><mml:mi mathvariant="normal">Θ</mml:mi></mml:math></inline-formula>; <inline-formula><mml:math id="M96" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) is shown in panels <bold>(a)</bold>,
<bold>(e)</bold>, and <bold>(i)</bold>. The isotherm of 0 <inline-formula><mml:math id="M97" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C is shown by the thick white lines.
Thin lines show the isotherms of <inline-formula><mml:math id="M98" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1.5 to <inline-formula><mml:math id="M99" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>1.0 <inline-formula><mml:math id="M100" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C
every 0.5 <inline-formula><mml:math id="M101" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C. Absolute salinity (<inline-formula><mml:math id="M102" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">A</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>; g kg<inline-formula><mml:math id="M103" 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>) is shown in
panels <bold>(b)</bold>, <bold>(f)</bold>, and <bold>(j)</bold>. The isoline of 34.72 g kg<inline-formula><mml:math id="M104" 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> is shown by the thick
white lines. Thin lines show the isolines of 34.5 to 34.7 g kg<inline-formula><mml:math id="M105" 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> every
0.1 g kg<inline-formula><mml:math id="M106" 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>. Neutral density (<inline-formula><mml:math id="M107" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">γ</mml:mi><mml:mi mathvariant="normal">n</mml:mi></mml:msup></mml:mrow></mml:math></inline-formula>; kg m<inline-formula><mml:math id="M108" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) is shown in
panels <bold>(c)</bold>, <bold>(g)</bold>, and <bold>(k)</bold>. The isolines of 28.27 and 28.40 kg m<inline-formula><mml:math id="M109" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> are
shown by the thick white lines. Thin lines show the isolines of 28.00
to 28.20 kg m<inline-formula><mml:math id="M110" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> every 0.1 kg m<inline-formula><mml:math id="M111" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. Dissolved oxygen (DO; mL L<inline-formula><mml:math id="M112" 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>) is shown in panels <bold>(d)</bold>, <bold>(h)</bold>, and <bold>(l)</bold>. The isoline of 6.3 mL L<inline-formula><mml:math id="M113" 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> is shown by the thick white lines. Thin lines show the isolines of
5.5 to 7.0 mL L<inline-formula><mml:math id="M114" 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> every 0.5 mL L<inline-formula><mml:math id="M115" 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 Bransfield Front,
Peninsula Front, and mCDW inflows are identified in panels <bold>(a)</bold>, <bold>(b)</bold>, <bold>(d)</bold>, <bold>(e)</bold>,
and <bold>(h)</bold>. The Bransfield Strait central and eastern basins are identified in
panel <bold>(i)</bold>. Note the difference in the depth ranges.</p></caption>
          <?xmltex \igopts{width=483.69685pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/671/2021/essd-13-671-2021-f08.png"/>

        </fig>

      <?pagebreak page684?><p id="d1e1771">We now evaluate the NAPv1.0 in sections crosscutting the WAP at the
WOCE-SR4 West (hereafter, SR4) and along the Scotia Arc – a route of
Antarctic Bottom Water export (Fig. 1a; Franco et al., 2007). At the WAP
(Fig. 9a–d), the NAPv1.0 shows high values of <inline-formula><mml:math id="M116" display="inline"><mml:mi mathvariant="normal">Θ</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M117" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">A</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and
lower values of DO, associated with CDW, intruding onto the continental
shelf. <inline-formula><mml:math id="M118" display="inline"><mml:mi mathvariant="normal">Θ</mml:mi></mml:math></inline-formula> as high as 1 <inline-formula><mml:math id="M119" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C, sourced from upper CDW, floods
the continental shelf in those regions (Moffat and Meredith, 2018) and are a
heat source for the glacier retreating (Cook et al., 2016). Although the
salinity values are high, they are not as high as the lower branch of CDW
offshore (Fig. 9b). The isopycnals offshore tilt upwards near the
continental slope, suggesting upwelling of CDW (additionally, several
hypotheses have been developed to explain the origin of these warm waters,
such as eddies shed by the ACC, current deflection by the
cross-shelf-cutting canyons, or advections of the ACC onto the continental
shelf; e.g. Prézelin et al., 2000; Martinson et al., 2008; Martinson
and McKee, 2012; Couto et al., 2017; McKee and Martinson, 2020b). On the
Weddell Sea side, the NAPv1.0 shows the main water masses of the region
(Fig. 9e–h), including the Winter Water at the subsurface, the WDW with the largest
(lowest) values of <inline-formula><mml:math id="M120" display="inline"><mml:mi mathvariant="normal">Θ</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M121" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">A</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (DO), the Weddell Sea Deep Water, and the
Weddell Sea Bottom Water, the latter of which is restricted to below 4000 m (Farhbach et al.,
2004; Kerr et al., 2018c). Another important feature observed in the
climatology is the downslope flow of the cold, fresh, dense, and recently
ventilated waters at the continental slope (van Caspel et al., 2015). At the
shelf break, the isotherms tilt suggesting the presence of the Antarctic
Slope Front (Farhbach et al., 2004; Heywood et al., 2004). Once the Weddell
Sea Deep Waters enters the Powell Basin, a fraction is exported across the
Scotia Arc (Fig. 1b; Franco et al., 2007). This region is transitional
between the Weddell Sea and the northward parts of the Southern Ocean and
generally has a warm and weak density structure. The export of dense waters
may occur at Philip Passage, where the upper parcel of Weddell Sea Deep
Water can overflow the bathymetric constraint, as shown in Fig. 9i–l. On
seasonal time scales, the NAPv1.0 represents the natural intraseasonal
variability in the upper ocean as well as changes in the isopycnals tilting,
suggesting small changes in the circulation across the sections. However,
mainly in winter, the data is spatially sparse. For all seasons except
summer, DO distribution is flawed (Figs. S11–S13 in the Supplement).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9" specific-use="star"><?xmltex \currentcnt{9}?><?xmltex \def\figurename{Figure}?><label>Figure 9</label><caption><p id="d1e1830">Summer vertical sections along the western Antarctic Peninsula
(WAP; <bold>a–d</bold>; magenta line in Fig. 1a), WOCE SR4 across the Weddell Gyre (<bold>e–h</bold>;
green line in Fig. 1a), and the Scotia Arc line over the south Scotia Ridge
(<bold>i–l</bold>; cyan line in Fig. 1a). <bold>(a)</bold> Conservative temperature (<inline-formula><mml:math id="M122" display="inline"><mml:mi mathvariant="normal">Θ</mml:mi></mml:math></inline-formula>;
<inline-formula><mml:math id="M123" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) with isotherms of 1 and 1.5 <inline-formula><mml:math id="M124" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C
(<inline-formula><mml:math id="M125" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1.0</mml:mn></mml:mrow></mml:math></inline-formula> to 0.5 <inline-formula><mml:math id="M126" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C every 0.5 <inline-formula><mml:math id="M127" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) shown by the
thick (thin) white lines. <bold>(b)</bold> Absolute salinity (<inline-formula><mml:math id="M128" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">A</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>; g kg<inline-formula><mml:math id="M129" 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
isolines of 34.8 and 34.9 g kg<inline-formula><mml:math id="M130" 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> (34.7 to 34.85 g kg<inline-formula><mml:math id="M131" 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> every 0.05 g kg<inline-formula><mml:math id="M132" 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>) shown by the thick (thin) white lines.
<bold>(c)</bold> Neutral density (<inline-formula><mml:math id="M133" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">γ</mml:mi><mml:mi mathvariant="normal">n</mml:mi></mml:msup></mml:mrow></mml:math></inline-formula>; kg m<inline-formula><mml:math id="M134" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) with the isoline of 27.9 kg m<inline-formula><mml:math id="M135" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (28.0 to 28.2 kg m<inline-formula><mml:math id="M136" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> every 0.1 kg m<inline-formula><mml:math id="M137" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) shown
by the thick (thin) white lines. <bold>(d)</bold> Dissolved oxygen (DO; mL L<inline-formula><mml:math id="M138" 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 the
isoline of 5.5 mL L<inline-formula><mml:math id="M139" 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> (4 to 7 mL L<inline-formula><mml:math id="M140" 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> every 1 mL L<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>) shown by the thick (thin) white lines. <bold>(e)</bold> <inline-formula><mml:math id="M142" display="inline"><mml:mi mathvariant="normal">Θ</mml:mi></mml:math></inline-formula> with isotherms
of <inline-formula><mml:math id="M143" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.7</mml:mn></mml:mrow></mml:math></inline-formula> and 0 <inline-formula><mml:math id="M144" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C (<inline-formula><mml:math id="M145" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1.5</mml:mn></mml:mrow></mml:math></inline-formula> to
0.5 <inline-formula><mml:math id="M146" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C every 0.5 <inline-formula><mml:math id="M147" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) shown by the thick (thin) white
lines. <bold>(f)</bold> <inline-formula><mml:math id="M148" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">A</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> with the isolines of 34.83 and 34.85 g kg<inline-formula><mml:math id="M149" 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>
(34.5 to 34.8 g kg<inline-formula><mml:math id="M150" 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> every 0.1 g kg<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>) shown by the
thick (thin) white lines. <bold>(g)</bold> <inline-formula><mml:math id="M152" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">γ</mml:mi><mml:mi mathvariant="normal">n</mml:mi></mml:msup></mml:mrow></mml:math></inline-formula> with isolines of 28.0, 28.27, and 28.4 kg m<inline-formula><mml:math id="M153" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (28.1 and 28.2 kg m<inline-formula><mml:math id="M154" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) shown by the thick (thin) white lines. <bold>(h)</bold> DO with the isoline of
5.5 mL L<inline-formula><mml:math id="M155" 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> (5 to 7 mL L<inline-formula><mml:math id="M156" 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> every 1 mL L<inline-formula><mml:math id="M157" 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>) shown
by the thick (thin) white lines. <bold>(i)</bold> <inline-formula><mml:math id="M158" display="inline"><mml:mi mathvariant="normal">Θ</mml:mi></mml:math></inline-formula> with isotherms of 0 <inline-formula><mml:math id="M159" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C (<inline-formula><mml:math id="M160" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1.0</mml:mn></mml:mrow></mml:math></inline-formula> and 1.5 <inline-formula><mml:math id="M161" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) shown by the thick (thin) white
lines. <bold>(j)</bold> <inline-formula><mml:math id="M162" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">A</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> with the isoline of 34.83 g kg<inline-formula><mml:math id="M163" 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> (34.5 to
34.8 g kg<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> every 0.1 g kg<inline-formula><mml:math id="M165" 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>) shown by the thick (thin) white
lines. <bold>(k)</bold> <inline-formula><mml:math id="M166" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">γ</mml:mi><mml:mi mathvariant="normal">n</mml:mi></mml:msup></mml:mrow></mml:math></inline-formula> with the isolines of 28.0 and 28.27 kg m<inline-formula><mml:math id="M167" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (28.1 and 28.2 kg m<inline-formula><mml:math id="M168" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) shown by the thick (thin)
white lines. <bold>(l)</bold> DO with the isoline of 5.5 mL L<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> (5 to 7 mL L<inline-formula><mml:math id="M170" 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> every 1 mL L<inline-formula><mml:math id="M171" 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>) shown by the thick (thin) white lines.</p></caption>
          <?xmltex \igopts{width=483.69685pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/671/2021/essd-13-671-2021-f09.png"/>

        </fig>

</sec>
<sec id="Ch1.S4.SS3">
  <label>4.3</label><title>Comparison against other climatological products</title>
      <p id="d1e2446">Most climatological products are built to represent the global ocean and its
large-scale basins, such as the Southern Ocean. The NAP, on the other hand,
is a relatively small region but highly dynamical and ecologically important
to connect regional environments (Kerr et al., 2018a). In this context, we
now compare the NAPv1.0 with some other available gridded products, widely
used by the ocean community, to show how effective it is to have regional
climatologies, especially in areas of intense spatial and temporal
variability. For these comparisons, we chose to use the WOA and CARS
climatologies and the SOSE state estimate previously described in Sect. 2.
Although SOSE is based on a model, and one could argue that comparing it
with a gridded product is not a fair comparison, we decided to used it
because the data coverage of the Southern Ocean is relatively poor in space
and time, and many studies have used SOSE as a benchmark to evaluate other
ocean model outputs (e.g. Spence et al., 2017; Russell et al., 2018). In
addition, SOSE has been used as initial conditions for simulations within
the Bransfield Strait (e.g. Zhou et al., 2020). Despite the limitations of
state estimate and ocean reanalysis (e.g. Mazloff et al., 2010; Azaneu et
al., 2014; Dotto et al., 2014; Aguiar et al., 2017; Verdy and Mazloff,
2017), combining model and observations, such as in SOSE, leads to great
improvements on the comprehension of the Southern Ocean dynamics (e.g. van
Sebille et al., 2013; Abernathey et al., 2016; Rodriguez et al., 2016;
Tamsitt et al., 2017).</p>
      <p id="d1e2449">The vertical water mass structure of the NAP and adjacent regions is well
represented by the NAPv1.0 (Fig. 10a–b). The density distribution and
thermohaline ranges agree well with the CTD casts (closer than 6 km from the grid
points), as previously shown (Sect. 4.1). The summer-averaged WOA is colder
and saltier at the surface, but the intermediate to deep ocean seems to have
thermohaline range and density structure similar to observations (Fig. 10c–d). The summer-estimated CARS seems to represent well the NAP region,
despite being a product with coarser resolution. It has the range of <inline-formula><mml:math id="M172" display="inline"><mml:mi mathvariant="normal">Θ</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M173" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">A</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> in agreement with the observations throughout the water column
(Fig. 10e). A good agreement is also observed for the dense waters, where
CARS has similar levels of <inline-formula><mml:math id="M174" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">γ</mml:mi><mml:mi mathvariant="normal">n</mml:mi></mml:msup></mml:mrow></mml:math></inline-formula> compared to the measured data
(Fig. 10f). Contrary to WOA, the NAPv1.0 and the CARS climatology do not
show supercooled waters centred at <inline-formula><mml:math id="M175" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">A</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> 34.6–34.7 g kg<inline-formula><mml:math id="M176" 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
<inline-formula><mml:math id="M177" display="inline"><mml:mi mathvariant="normal">Θ</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M178" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M179" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C), which is in agreement with the
observations (Fig. 10b, d, f). The 2008–2018 summer averaged SOSE represents
the upper ocean considerably fresher, whereas the water masses with <inline-formula><mml:math id="M180" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">γ</mml:mi><mml:mi mathvariant="normal">n</mml:mi></mml:msup><mml:mi mathvariant="italic">&lt;</mml:mi><mml:mn mathvariant="normal">27.6</mml:mn></mml:mrow></mml:math></inline-formula> kg m<inline-formula><mml:math id="M181" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> are colder than the observations (Fig. 10g). The dense water masses (<inline-formula><mml:math id="M182" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">γ</mml:mi><mml:mi mathvariant="normal">n</mml:mi></mml:msup><mml:mi mathvariant="italic">&gt;</mml:mi><mml:mn mathvariant="normal">28.27</mml:mn></mml:mrow></mml:math></inline-formula> kg m<inline-formula><mml:math id="M183" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) are not well represented in SOSE for the region analysed, being
considerably warmer and saltier than the observations (Fig. 10h). However,
due to higher temperatures, lighter waters flood the bottom layers of SOSE.
The similarity of the NAPv1.0 and the WOA and CARS climatologies to the
observations is because these data sets are totally fed by in situ data,
whereas SOSE is based on a model run fed by in situ data.</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="d1e2590">Summer conservative-temperature–absolute-salinity (<inline-formula><mml:math id="M184" display="inline"><mml:mrow><mml:mi mathvariant="normal">Θ</mml:mi><mml:mo>-</mml:mo><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">A</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) diagrams for the different climatologies analysed and profiles
collected by CTD (represented by grey points) closer than <inline-formula><mml:math id="M185" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 6 km
from the grid points. <bold>(a, b)</bold> NAPv1.0, <bold>(c, d)</bold> WOA, <bold>(e, f)</bold> CARS, and <bold>(g, h)</bold> SOSE. Neutral density isopycnals of 27.2 to 28.0 kg m<inline-formula><mml:math id="M186" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> are shown every 0.2 kg m<inline-formula><mml:math id="M187" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. Green lines depict the 28.27 and 28.40 kg m<inline-formula><mml:math id="M188" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> isopycnals. Cyan rectangles in <bold>(a)</bold>, <bold>(c)</bold>, <bold>(e)</bold>,
and <bold>(g)</bold> show the dense water masses restriction presented in <bold>(b)</bold>, <bold>(d)</bold>, <bold>(f)</bold>,
and <bold>(h)</bold>, respectively. The difference in the number of CTD points is because
the grid points of each climatology is taken as a reference for the station
positions.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/671/2021/essd-13-671-2021-f10.png"/>

        </fig>

      <p id="d1e2696">Now, to present the water mass structure, we show the representation of
these products along the several sections at the NAP and adjacent regions.
We start showing the representation of the climatologies in the central area
of the NAP, i.e. the Bransfield Strait, because it has a transitional
regime between cold and warm conditions and it is highly dynamical. WOA
unveils the upper ocean considerably colder, and despite having similar
ranges of <inline-formula><mml:math id="M189" display="inline"><mml:mi mathvariant="normal">Θ</mml:mi></mml:math></inline-formula> as the NAPv1.0 in the mid- to deep ocean, the distinction
between the Bransfield Strait's central and eastern basins is not well
represented (Fig. 11a and Fig. S14a in the Supplement). The <inline-formula><mml:math id="M190" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">A</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> distribution in WOA is
slightly saltier than the NAPv1.0 and it does not show a clear spatial
variability (Fig. 11b). Consequently, the WOA is generally denser than
NAPv1.0, mainly in the eastern basin (Fig. 11c and Fig. S15a in the Supplement). The <inline-formula><mml:math id="M191" display="inline"><mml:mi mathvariant="normal">Θ</mml:mi></mml:math></inline-formula>
climatology in CARS is in closer agreement with the NAPv1.0, both in the
upper ocean and deeper layers (Fig. 11d). Although the deep <inline-formula><mml:math id="M192" display="inline"><mml:mi mathvariant="normal">Θ</mml:mi></mml:math></inline-formula> is not
as low as the NAPv1.0 (Fig. S14g in the Supplement), a clear thermal distinction is observed
between the central and eastern basin of the Bransfield Strait. On the other
hand, the <inline-formula><mml:math id="M193" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">A</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> field is slightly saltier in CARS than the NAPv1.0 and
the spatial distribution is less variable, as observed by the flatness of
the isohalines (Fig. 11e). In general, CARS is slightly denser than NAPv1.0
for the Bransfield Strait (Fig. S15g in the Supplement). Interestingly, however, is the
representation of DO in CARS, which resembles the NAPv1.0 in terms of
magnitude and spatial distribution (Fig. 11g). In both products, the DO is
higher in the central basin (although slightly overestimated in CARS
climatology). SOSE is considerably warmer in most of the water column in
both basins (Fig. 11h and Fig. S14m in the Supplement) when compared to the NAPv1.0 (Fig. 8i). As
discussed previously, SOSE shows higher salinity than the NAPv1.0 in both
basins below <inline-formula><mml:math id="M194" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 250 m depth (Fig. 11i). However, the deep
density structure in the Bransfield Strait is lighter than NAPv1.0 because
of the higher <inline-formula><mml:math id="M195" display="inline"><mml:mi mathvariant="normal">Θ</mml:mi></mml:math></inline-formula> values in SOSE (Fig. 11j and Fig. S15m in the Supplement). Regarding DO,
SOSE is oversaturated in the upper layer and highly deoxygenated below
<inline-formula><mml:math id="M196" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 100 m (Fig. 11k) compared to NAPv1.0 (Fig. 8l).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F11" specific-use="star"><?xmltex \currentcnt{11}?><?xmltex \def\figurename{Figure}?><label>Figure 11</label><caption><p id="d1e2766">Summer vertical sections for WOA (left panels), CARS (middle
panels), and SOSE (right panels) along the Bransfield Strait (Fig. 1a). <bold>(a, d, g)</bold> Conservative temperature (<inline-formula><mml:math id="M197" display="inline"><mml:mi mathvariant="normal">Θ</mml:mi></mml:math></inline-formula>; <inline-formula><mml:math id="M198" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C). The isotherm of
0 <inline-formula><mml:math id="M199" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C (<inline-formula><mml:math id="M200" display="inline"><mml:mo lspace="0mm">-</mml:mo></mml:math></inline-formula>1.5 to 1.5 <inline-formula><mml:math id="M201" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C every 0.5 <inline-formula><mml:math id="M202" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) is shown by the thick (thin) white lines. <bold>(b, e, i)</bold> Absolute salinity
(<inline-formula><mml:math id="M203" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi mathvariant="normal">A</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>; g kg<inline-formula><mml:math id="M204" 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 isoline of 34.72 g kg<inline-formula><mml:math id="M205" 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> (34.5 to
34.7 g kg<inline-formula><mml:math id="M206" 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> every 0.1 g kg<inline-formula><mml:math id="M207" 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>) is shown by the thick (thin) white
lines. <bold>(c, f, j)</bold> Neutral density (<inline-formula><mml:math id="M208" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">γ</mml:mi><mml:mi mathvariant="normal">n</mml:mi></mml:msup></mml:mrow></mml:math></inline-formula>; kg m<inline-formula><mml:math id="M209" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>). The isolines of
28.27 and 28.4 kg m<inline-formula><mml:math id="M210" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (28.0 to 28.2 kg m<inline-formula><mml:math id="M211" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
every 0.1 kg m<inline-formula><mml:math id="M212" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) are shown by the thick (thin) white lines. <bold>(g, k)</bold>
Dissolved oxygen (DO; mL L<inline-formula><mml:math id="M213" 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 isoline of 6.3 mL L<inline-formula><mml:math id="M214" 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> (5.5 to 7.0 mL L<inline-formula><mml:math id="M215" 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> every 0.5 mL L<inline-formula><mml:math id="M216" 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>) is shown by the thick (thin) white
lines.</p></caption>
          <?xmltex \igopts{width=483.69685pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/671/2021/essd-13-671-2021-f11.png"/>

        </fig>

      <p id="d1e3007">Regarding the other sections in the Bransfield Strait (Fig. 1a), no product
captured the Peninsula and Bransfield fronts as well as NAPv1.0, likely due
to their coarser resolution (Fig. 12a, b, f, g, k, l). The mid-depth inflow of
mCDW is better represented in CARS, where it is restricted to the South
Shetland Islands side. In WOA and SOSE, the mCDW seems to be present in the
whole meridional extent of the Bransfield Strait (Fig. 12a, b, f, g, k, l), which
creates a band of higher temperatures in levels deeper than 200 m in both
products compared to NAPv1.0 (Fig. S14 in the Supplement). As previously noticed, the
temperature range of CARS is in better agreement with our regional
climatology (Fig. S14 in the Supplement). In terms of <inline-formula><mml:math id="M217" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">γ</mml:mi><mml:mi mathvariant="normal">n</mml:mi></mml:msup></mml:mrow></mml:math></inline-formula>, WOA and SOSE are
considerably lighter than NAPv1.0 below <inline-formula><mml:math id="M218" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 300 m (Figs. 13a, b, f, g, k, l and Fig. S15 in the Supplement) because of their higher<?pagebreak page688?> temperature (Fig. S14 in the Supplement). For
instance, the isopycnals of 28.27 and 28.4 kg m<inline-formula><mml:math id="M219" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> are found
deeper in the Livingston–Antarctic Peninsula and King
George–Antarctic Peninsula sections in the WOA (Fig. 13a–b). In SOSE, the 28.27 and 28.4 kg m<inline-formula><mml:math id="M220" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> isopycnals are respectively absent in the
former and latter sections (Fig. 13k–l). CARS is more in agreement with
NAPv1.0 in terms of magnitude and distribution of the isopycnals within the
Bransfield Strait despite its larger resolution (Fig. 13f–g). However, in
general, the dome-like structure of the isopycnals in the Bransfield Strait,
associated with the cyclonic circulation, is not apparent in the other
products analysed, which suggests a misrepresentation of the circulation
pattern of the strait (Fig. 13).</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F12" specific-use="star"><?xmltex \currentcnt{12}?><?xmltex \def\figurename{Figure}?><label>Figure 12</label><caption><p id="d1e3054">Summer vertical sections of conservative temperature
(<inline-formula><mml:math id="M221" display="inline"><mml:mi mathvariant="normal">Θ</mml:mi></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>C) for WOA (left panels), CARS (middle panels), and
SOSE (right panels). <bold>(a, f, k)</bold> Sections between Livingston Island and
the Antarctic Peninsula. The isotherm of 0 <inline-formula><mml:math id="M223" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C (<inline-formula><mml:math id="M224" display="inline"><mml:mo lspace="0mm">-</mml:mo></mml:math></inline-formula>1.5 to
1.5 <inline-formula><mml:math id="M225" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C every 0.5 <inline-formula><mml:math id="M226" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) is shown by the thick (thin) white
lines. <bold>(b, g, l)</bold> Sections between King George Island and the Antarctic
Peninsula. The isotherm of 0 <inline-formula><mml:math id="M227" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C (<inline-formula><mml:math id="M228" display="inline"><mml:mo lspace="0mm">-</mml:mo></mml:math></inline-formula>1.5 to 1.5 <inline-formula><mml:math id="M229" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C every 0.5 <inline-formula><mml:math id="M230" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) is shown by the thick (thin) white lines. <bold>(c, h, m)</bold>
Section at the WAP. The isotherms of 1 and 1.5 <inline-formula><mml:math id="M231" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C
(<inline-formula><mml:math id="M232" display="inline"><mml:mo lspace="0mm">-</mml:mo></mml:math></inline-formula>1.5 to 0.5 <inline-formula><mml:math id="M233" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C every 0.5 <inline-formula><mml:math id="M234" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) are shown
by the thick (thin) white lines. <bold>(d, i, n)</bold> Sections WOCE SR4. The isotherms of
<inline-formula><mml:math id="M235" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.7 and 0 <inline-formula><mml:math id="M236" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C (<inline-formula><mml:math id="M237" display="inline"><mml:mo lspace="0mm">-</mml:mo></mml:math></inline-formula>1.5 to
0.5 <inline-formula><mml:math id="M238" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C every 0.5 <inline-formula><mml:math id="M239" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) are shown by the thick (thin) white
lines. <bold>(e, j, o)</bold> Sections at Scotia Arc. The isotherm of 0 <inline-formula><mml:math id="M240" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C
(<inline-formula><mml:math id="M241" display="inline"><mml:mo lspace="0mm">-</mml:mo></mml:math></inline-formula>1.5 to <inline-formula><mml:math id="M242" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.5 <inline-formula><mml:math id="M243" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C every 0.5 <inline-formula><mml:math id="M244" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) is shown
by the thick (thin) white lines.</p></caption>
          <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/671/2021/essd-13-671-2021-f12.png"/>

        </fig>

      <?xmltex \floatpos{p}?><fig id="Ch1.F13" specific-use="star"><?xmltex \currentcnt{13}?><?xmltex \def\figurename{Figure}?><label>Figure 13</label><caption><p id="d1e3285">Summer vertical sections of neutral density (<inline-formula><mml:math id="M245" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">γ</mml:mi><mml:mi mathvariant="normal">n</mml:mi></mml:msup></mml:mrow></mml:math></inline-formula>; kg m<inline-formula><mml:math id="M246" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) for WOA (left panels), CARS (middle panels), and SOSE
(right panels). <bold>(a, f, k)</bold> Sections between Livingston Island and the
Antarctic Peninsula. The isopycnal of 28.27 kg m<inline-formula><mml:math id="M247" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (28 to 28.2 kg m<inline-formula><mml:math id="M248" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> every 0.1 kg m<inline-formula><mml:math id="M249" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) is shown by the thick (thin) white lines.
<bold>(b, g, l)</bold> Sections between King George Island and the Antarctic
Peninsula. The isopycnals of 28.27 and 28.4 kg m<inline-formula><mml:math id="M250" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (28 to 28.2 kg m<inline-formula><mml:math id="M251" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> every 0.1 kg m<inline-formula><mml:math id="M252" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) are shown by the thick
(thin) white lines. <bold>(c, h, m)</bold> Section at the WAP. The isopycnals of 27.9 and 28.27 kg m<inline-formula><mml:math id="M253" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (28 to 28.2 kg m<inline-formula><mml:math id="M254" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> every 0.1 kg m<inline-formula><mml:math id="M255" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) are shown by the thick (thin) white lines. <bold>(d, i, n)</bold> Sections
WOCE SR4. The isopycnals of 28, 28.27, and 28.4 kg m<inline-formula><mml:math id="M256" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (28.1 and 28.2 kg m<inline-formula><mml:math id="M257" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) are shown by the thick
(thin) white lines. <bold>(e, j, o)</bold> Section Scotia Arc. The isopycnals of 28 and 28.27 kg m<inline-formula><mml:math id="M258" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (28.1 and 28.2 kg m<inline-formula><mml:math id="M259" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) are
shown by the thick (thin) white lines.</p></caption>
          <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/671/2021/essd-13-671-2021-f13.png"/>

        </fig>

      <p id="d1e3491">In the adjacent regions of the NAP, where the oceanographic regime is less
dynamical, WOA, CARS, and SOSE represent the vertical structure of the water
masses relatively better than within the central NAP (Figs. 12 and 13). All
of them successfully represent the core of CDW offshore, the upward tilting
of the isotherms and isopycnals towards the continental slope, and the CDW
accessing the WAP continental shelf (Figs. 12 and 13). In the Weddell Sea,
all products represent the core of the WDW and the thermal and density
distinction of Weddell Sea Deep Water and Weddell Sea Bottom Water. However,
only CARS can represent the downslope flow of cold and dense waters at the
continental slope, in agreement with NAPv1.0 and observations (Figs. 12 and
13). Along the Scotia Arc, despite all products roughly agreeing regarding the
distribution of the warmer water parcel (Fig. 12), only CARS and SOSE
represent the export of lighter Weddell Sea Deep Water through the Philip
Passage (Fig. 13), in agreement with NAPv1.0 (Fig. 9k) and observations
(Franco et al., 2007).</p>
      <p id="d1e3494">One must keep in mind that WOA and CARS are global climatologies, and their
relatively low-resolution (i.e. <inline-formula><mml:math id="M260" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M261" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M262" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>
respectively) does not properly represent some local and regional
environments of the Southern Ocean like in the NAP (for instance, the
distance between the South Shetland Islands and the Antarctic Peninsula is
slightly more than 100 km). Despite having lower resolution, CARS seemed to
better represent the hydrographic properties in the Bransfield Strait than
WOA. Although beyond the scope of this work, this discrepancy could be
associated with the interpolation methods that are distinct for each
climatology. On the other hand, SOSE is a state estimate where a model is
constrained by observations. Although its output products are good to study
and represent large-scale processes, SOSE did not seem fit to be used in
regional seas, at least in the NAP, where complex dynamics and contrasting
regimes set the local water mass structure and variability. In this sense,
simulations of regional models could be significantly impacted by the use of
those large-scale climatologies and reanalysis products.</p>
</sec>
<sec id="Ch1.S4.SS4">
  <label>4.4</label><title>Caveats of the NAPv1.0 climatology</title>
      <p id="d1e3537">In summary, the NAPv1.0 is robust in the representation of many described
dynamic features of the region and, to our knowledge, its hydrographic
fields closely follow the observations better than any other available
product. Hence, the NAPv1.0 can be used to represent the mean state
conditions as well as to feed ocean regional models of the highly
transitional and dynamic NAP environments. However, a few caveats can be
identified in the NAPv1.0.</p>
      <p id="d1e3540">In situ data are spatially and temporally sparse in the Southern Ocean. The
Argo and MEOP data sets could have the potential to overcome this uneven
sampling; however, a few regions are still undersampled, such as the western
Weddell Sea (Fig. 2). To avoid creating larger errors (and unreal
hydrographic values) in the interpolation procedure, we decided to avoid
those regions by masking the final products.</p>
      <p id="d1e3543">CTD data are still the only data that can be used to measure deeper (<inline-formula><mml:math id="M263" display="inline"><mml:mrow><mml:mi mathvariant="italic">&gt;</mml:mi><mml:mn mathvariant="normal">2000</mml:mn></mml:mrow></mml:math></inline-formula> m) levels in the region. Considering that most of the hydrographic
cruises were conducted in summer (Fig. 3), deeper regions are not well
represented in other seasons. In those cases, most of the climatology is
developed to the upper ocean (<inline-formula><mml:math id="M264" display="inline"><mml:mrow><mml:mi mathvariant="italic">&lt;</mml:mi><mml:mn mathvariant="normal">2000</mml:mn></mml:mrow></mml:math></inline-formula> m) given the measurement
restrictions of the Argo and MEOP data sets. To avoid creating larger errors
(and unreal hydrographic values) in the interpolation procedure, we decided
not to interpolate where data are not available. Because of this choice,
autumn, winter, and spring showed a lower representativeness than summer.
This might be solved in the near future with the development of deep-Argo
floats (Roemmich et al., 2019) and could potentially sample many deep parts
of the adjacent regions of the NAP (e.g. Weddell Sea, Bellingshausen Sea,
and Drake Passage).</p>
      <p id="d1e3566">Another limitation of our climatology regards the DO field. As most of
the CTD measurements were conducted in summer, the greatest representation
of this field is restricted to that season. In addition, a considerable
number of DO measurements were conducted by the GOAL, restricted to the
Bransfield and Gerlache straits during summer (Fig. 3c). The development of
biogeochemical Argo floats could increase the amount of available DO data in
the future for different seasons (Roemmich et al., 2019), which would
improve the representation of the different climatologies.</p>
      <p id="d1e3570">The grid scale (<inline-formula><mml:math id="M265" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 10 km) is similar or even higher than the
first baroclinic Rossby radius of the region (Chelton et al., 1998), which
limits the representation of some mesoscale and submesoscale features. In
addition, the smoothing radius chosen in the objective interpolation and the
mean state associated with the interpolation filter out most of the small
dynamic features, such as eddies associated with the Peninsula Front (e.g.
Sangrà et al., 2011) or at the WAP continental slope (Martinson and
McKee, 2012).</p>
      <?pagebreak page691?><p id="d1e3580">Finally, the NAPv1.0 product brings a novel tool and opens plenty of
possible future applications to better understand the regional circulation
and hydrography along the NAP, a recognized marine climate hotspot (Kerr et
al., 2018a). This climatology will be useful not only to observers and
modellers, but also to ecologists and anyone interested in the oceanographic
conditions and behaviour of the NAP region.</p>
</sec>
</sec>
<sec id="Ch1.S5">
  <label>5</label><title>Data availability</title>
      <p id="d1e3593">The seasonal NAPv1.0 (Dotto et al., 2021) is available at <ext-link xlink:href="https://doi.org/10.5281/zenodo.4420006" ext-link-type="DOI">10.5281/zenodo.4420006</ext-link>
and
<uri>https://www.goal.furg.br/producao-cientifica/supplements/203-goal-gridded-nap</uri> (last access: 7 January 2021)
as a netCDF file. The file contains the three-dimensional gridded variables in situ
temperature (<inline-formula><mml:math id="M266" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C), practical salinity, and dissolved oxygen (mL L<inline-formula><mml:math id="M267" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) as well as their respective relative error matrices. Derived variables,
such as absolute salinity, conservative temperature, and neutral density can
be calculated by the user. Depth levels (in metres) and the two-dimensional gridded
coordinates latitude and longitude are also included in the file. Missing
values corresponding to relative errors <inline-formula><mml:math id="M268" display="inline"><mml:mrow><mml:mi mathvariant="italic">&gt;</mml:mi><mml:mn mathvariant="normal">0.5</mml:mn></mml:mrow></mml:math></inline-formula> and land mask are
marked as <italic>not a number</italic> (NaN).</p>
</sec>
<sec id="Ch1.S6" sec-type="conclusions">
  <label>6</label><title>Conclusions</title>
      <p id="d1e3645">We have presented a novel gridded hydrographic product for the NAP and
adjacent regions generated by optimal interpolation using hydrographic data
from CTD, Argo, and MEOP between 1990–2019. The gridded product has a spatial
resolution of <inline-formula><mml:math id="M269" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 10 km and 90 standard depths with spacing
ranging from 5 m in the upper ocean to 500 m in depths <inline-formula><mml:math id="M270" display="inline"><mml:mrow><mml:mi mathvariant="italic">&gt;</mml:mi><mml:mn mathvariant="normal">4000</mml:mn></mml:mrow></mml:math></inline-formula> m.
The NAPv1.0 represents quite well many oceanic features of the region such
as (i) the inflows of Weddell Sea-sourced waters and the warm regime from
the Bellingshausen Sea, (ii) the Peninsula and the Bransfield fronts, (iii)
the cyclonic circulation within the Bransfield Strait, (iv) the Bransfield
Strait central and eastern basins dichotomy hydrographic regime, (v) the
inflow of CDW onto the WAP continental shelf, (vi) the narrow flow of cold
and oxygen-rich water along the continental slope of the Weddell Sea
inflowing toward the Bransfield Strait, and (vii) the downslope flow of
recently ventilated dense bottom waters at the Weddell Sea continental
slope. Many of the features described are not well observed in some of the
other products evaluated, and depicting the mechanisms behind those
differences still poses a challenge to the community. Due to the larger
mapping errors, one must use caution when considering areas near the edge
of the NAP and as well as areas of limited data coverage. As caveats, the
NAPv1.0 is fed exclusively by in situ data and the reduced sampling in
deeper levels and seasons other than summer limits the representation of
many oceanographic features for autumn, winter, and spring. Nevertheless, the
NAPv1.0 is a valuable tool for setting up regional ocean models and ocean
reanalysis assessments or to any user who wants to use it to characterize
the mean-state hydrography of the NAP at the end of 20th-century and early
21st-century.</p>
</sec>

      
      </body>
    <back><app-group>
        <supplementary-material position="anchor"><p id="d1e3664">The supplement related to this article is available online at: <inline-supplementary-material xlink:href="https://doi.org/10.5194/essd-13-671-2021-supplement" xlink:title="pdf">https://doi.org/10.5194/essd-13-671-2021-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e3675">All authors designed and conceptualized the
study. TSD led the study, data processing, and writing of the manuscript.
RK, MMM, and CAEG lead the GOAL projects and contributed substantially to
writing the manuscript.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e3681">The authors declare that they have no conflict of interest.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e3687">The authors thank
the officers and crew of the polar vessels <italic>Ary Rongel</italic> and <italic>Almirante Maximiano</italic> of the Brazilian Navy,
and the several scientists and technicians participating in the cruises for
their valuable help during data sampling and data processing. For their efforts, we also thank all the scientists, technicians, and crew involved in all data
acquisition and processing of ship surveys and for
making them freely available in international repositories. Argo data were
collected and made freely available by the Argo international programme and
the national programmes that contribute to it (<uri>http://www.argo.ucsd.edu</uri>, last access: 16 November 2020,
<uri>http://argo.jcommops.org</uri>, last access: 16 November 2020). The Argo programme is part of the Global Ocean
Observing System. The marine mammal data were collected and made freely
available by the International MEOP Consortium and the national programmes
that contribute to it (<uri>http://www.meop.net</uri>, last access: 13 November 2020). Finally, we thank Hartmut H. Hellmer and one anonymous reviewer for their contributions to improve the
manuscript.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e3707">This study is part of the activities of the Brazilian High Latitude Oceanography Group (GOAL) within the Brazilian Antarctic Program (PROANTAR). GOAL has been funded by and/or has received logistical support from the Brazilian Ministry of the Environment (MMA); the Brazilian Ministry of Science, Technology, and Innovation (MCTI); the Council for Research and Scientific Development of Brazil (CNPq); the Brazilian Navy; the Inter-ministerial Secretariat for Sea Resources (SECIRM); the National Institute of Science and Technology of the Cryosphere (INCT CRIOSFERA; CNPq grant nos. 573720/2008-8 and 465680/2014-3); and the Research Support Foundation of the State of Rio Grande do Sul (FAPERGS grant No. 17/2551-000518-0). This study was conducted within the activities of the REDE-1, SOS-CLIMATE, POLARCANION,PRO-OASIS, NAUTILUS, INTERBIOTA, PROVOCCAR, and ECOPELAGOS projects (CNPq grant nos. 550370/2002-1, 520189/2006-0, 556848/2009-8, 565040/2010-3, 405869/2013-4, 407889/2013-2, 442628/2018-8 and 442637/2018-7, respectively). Financial support was also received from Coordination for the Improvement of Higher Education Personnel (CAPES) through the project CAPES<?pagebreak page692?> “Ciências do Mar” (grant no. 23038.001421/2014-30). CAPES also provided free access to many relevant journals though the portal “Periódicos CAPES” and the activities of the Graduate Program in Oceanology. Tiago S. Dotto acknowledges financial support from CNPq PDJ scholarship grant no. 151248/2019-2. Rodrigo Kerr, Mauricio M. Mata, and Carlos A. E. Garcia are granted with researcher fellowships from CNPq grant nos. 304937/2018-5, 306896/2015-0, and 309932/2019-0, respectively.</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e3713">This paper was edited by Giuseppe M. R. Manzella and reviewed by Hartmut Hellmer and one anonymous referee.</p>
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    <!--<article-title-html>A novel hydrographic gridded data set for the northern Antarctic Peninsula</article-title-html>
<abstract-html><p>The northern Antarctic Peninsula (NAP) is a highly
dynamic transitional zone between the subpolar-polar and oceanic-coastal
environments, and it is located in an area affected by intense climate
change, including intensification and spatial shifts of the westerlies as
well as atmospheric and oceanic warming. In the NAP area, the water masses
originate mainly from the Bellingshausen and Weddell seas, which create a
marked regional dichotomy thermohaline characteristic. Although the NAP area
has relatively easy access when compared to other Southern Ocean
environments, our understanding of the water masses' distribution and the
dynamical processes affecting the variability of the region is still
limited. That limitation is closely linked to the sparse data coverage, as is
commonly the case in most Southern Ocean environments. This work
provides a novel seasonal three-dimensional high-resolution hydrographic
gridded data set for the NAP (version 1), namely the NAPv1.0. Hydrographic
measurements from 1990 to 2019 comprising data collected by conductivity,
temperature, depth (CTD) casts; sensors from the Marine Mammals
Exploring the Oceans Pole to Pole (MEOP) consortium; and Argo floats have been optimally
interpolated to produce maps of in situ temperature, practical salinity, and
dissolved oxygen at  ∼ &thinsp;10&thinsp;km spatial resolution and 90 depth
levels. The water masses and oceanographic features in this regional gridded
product are more accurate than other climatologies and state estimate
products currently available. The data sets are available in netCDF format
at <a href="https://doi.org/10.5281/zenodo.4420006" target="_blank">https://doi.org/10.5281/zenodo.4420006</a> (Dotto et al., 2021). The novel
and comprehensive data sets presented here for the NAPv1.0 product are a
valuable tool to be used in studies addressing climatological changes in the
unique NAP region since they provide accurate initial conditions for ocean
models and improve the end of the 20th- and early 21st-century ocean
mean-state representation for that area.</p></abstract-html>
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