<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing with OASIS Tables v3.0 20080202//EN" "journalpub-oasis3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:oasis="http://docs.oasis-open.org/ns/oasis-exchange/table" dtd-version="3.0">
  <front>
    <journal-meta>
<journal-id journal-id-type="publisher">BG</journal-id>
<journal-title-group>
<journal-title>Biogeosciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">BG</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Biogeosciences</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1726-4189</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/bg-14-3337-2017</article-id><title-group><article-title>On the long-range offshore transport of organic carbon from the Canary Upwelling System to the open North Atlantic</article-title>
      </title-group><?xmltex \runningtitle{Offshore transport of organic carbon from the Canary EBUS}?><?xmltex \runningauthor{E. Lovecchio et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Lovecchio</surname><given-names>Elisa</given-names></name>
          <email>elisa.lovecchio@usys.ethz.ch</email>
        <ext-link>https://orcid.org/0000-0002-7183-4761</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Gruber</surname><given-names>Nicolas</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-2085-2310</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Münnich</surname><given-names>Matthias</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Lachkar</surname><given-names>Zouhair</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Environmental Physics, Institute for Biogeochemistry and Pollutant Dynamics, ETH-Zürich, Universitätstrasse 16, 8092 Zürich, Switzerland</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Center for Prototype Climate Modeling, New York University Abu Dhabi, Abu Dhabi, UAE</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Elisa Lovecchio (elisa.lovecchio@usys.ethz.ch)</corresp></author-notes><pub-date><day>13</day><month>July</month><year>2017</year></pub-date>
      
      <volume>14</volume>
      <issue>13</issue>
      <fpage>3337</fpage><lpage>3369</lpage>
      <history>
        <date date-type="received"><day>23</day><month>December</month><year>2016</year></date>
           <date date-type="rev-request"><day>11</day><month>January</month><year>2017</year></date>
           <date date-type="rev-recd"><day>31</day><month>May</month><year>2017</year></date>
           <date date-type="accepted"><day>6</day><month>June</month><year>2017</year></date>
      </history>
      <permissions>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions><self-uri xlink:href="https://bg.copernicus.org/articles/14/3337/2017/bg-14-3337-2017.html">This article is available from https://bg.copernicus.org/articles/14/3337/2017/bg-14-3337-2017.html</self-uri>
<self-uri xlink:href="https://bg.copernicus.org/articles/14/3337/2017/bg-14-3337-2017.pdf">The full text article is available as a PDF file from https://bg.copernicus.org/articles/14/3337/2017/bg-14-3337-2017.pdf</self-uri>


      <abstract>
    <p>A compilation of measurements of net community production (NCP) in
the upper waters of the eastern subtropical North Atlantic had suggested net
heterotrophic conditions, purportedly supported by the lateral export of
organic carbon from the adjacent, highly productive Canary Upwelling System
(CanUS). Here, we quantify and assess this lateral export using the Regional
Ocean Modeling System (ROMS) coupled to a nutrient, phytoplankton,
zooplankton, and detritus (NPZD) ecosystem model. We employ a new Atlantic
telescopic grid with a strong refinement towards the northwestern African
shelf to combine an eddy-resolving resolution in the CanUS with a full
Atlantic basin perspective. Our climatologically forced simulation reveals an
intense offshore flux of organic carbon that transports
about 19 Tg C yr<inline-formula><mml:math id="M1" 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> away from the nearshore 100 km over the whole CanUS, amounting to more
than a third of the NCP in this region. The offshore transport extends beyond
1500 km into the subtropical North Atlantic, adding organic
carbon along the way to the upper 100 m at rates of between 8 and 34 % of the
alongshore average NCP as a function of offshore distance. Although the
divergence of this lateral export of organic carbon enhances local
respiration, the upper 100 m layer in our model remains net autotrophic in
the entire eastern subtropical North Atlantic. However, the vertical export
of this organic carbon and its subsequent remineralization at depth makes the
vertically integrated NCP strongly negative throughout this region, with the
exception of a narrow band along the northwestern African shelf. The
magnitude and efficiency of the lateral export varies substantially between
the different subregions. In particular, the central coast near Cape Blanc is
particularly efficient in collecting organic carbon on the shelf and
subsequently transporting it offshore. In this central subregion, the
offshore transport adds as much organic carbon as nearly
60 % of the local NCP to the upper 100 m, giving rise to a sharp peak of offshore
respiration that extends to the middle of the gyre. Our modeled offshore
transport of organic carbon is likely a lower-bound estimate due to our lack
of full consideration of the contribution of dissolved organic carbon and
that of particulate organic carbon stemming from the resuspension of
sediments. But even in the absence of these contributions, our results
emphasize the fundamental role of the lateral redistribution of the organic
carbon for the maintenance of the heterotrophic activity in the open sea.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>Owing to the dominance of the sinking flux of particulate organic carbon
(POC), the ocean's biological pump is often simplified to a one-dimensional
vertical process, consisting of the production of POC in the euphotic zone,
its vertical export by gravitational sinking, and the remineralization of
this organic carbon in the aphotic zone <xref ref-type="bibr" rid="bib1.bibx81" id="paren.1"><named-content content-type="pre">e.g.,</named-content></xref>.
Reflecting this simplified view, most biogeochemical models currently used in
the context of global climate models consider only the vertical export
pathway for POC, thus neglecting its potential lateral transport by
horizontal advection and diffusion
<xref ref-type="bibr" rid="bib1.bibx10 bib1.bibx63 bib1.bibx35 bib1.bibx83" id="paren.2"><named-content content-type="pre">e.g.,</named-content></xref>.</p>
      <p><?xmltex \hack{\newpage}?>Nevertheless, the horizontal transport of POC can be substantial, even in the
presence of vertical sinking speeds of 10 m day<inline-formula><mml:math id="M2" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> or more. This is
especially the case in places characterized by high lateral advective
velocities <xref ref-type="bibr" rid="bib1.bibx46" id="paren.3"/> and the presence of upward vertical transports
that can help to maintain high organic matter concentrations in the upper
ocean despite its gravitational sinking <xref ref-type="bibr" rid="bib1.bibx74" id="paren.4"/>. In addition,
resuspension of bottom sediments can create nepheloid layers that can
transport POC over hundreds of kilometers
<xref ref-type="bibr" rid="bib1.bibx67 bib1.bibx49 bib1.bibx30" id="paren.5"/>. A further important contribution
to the lateral transport of organic carbon is that of dissolved organic
carbon (DOC), estimated to account for 20 % of the export to depth and
for about 10 % of the respiration rates in the deep ocean
<xref ref-type="bibr" rid="bib1.bibx41 bib1.bibx6 bib1.bibx28" id="paren.6"/>. As a consequence of these
transport processes, the different organic carbon pools get redistributed
laterally from regions of excess production to regions of intense
remineralization and burial <xref ref-type="bibr" rid="bib1.bibx50 bib1.bibx48" id="paren.7"/>, giving rise to a
complex three-dimensional pattern of organic carbon cycling.</p>
      <p>Such a lateral connection between organic carbon sources and sinks in the
marine environment is at the heart of a long-standing controversy regarding
the net metabolic state of the upper ocean in the oligotrophic subtropical
gyres <xref ref-type="bibr" rid="bib1.bibx90 bib1.bibx26 bib1.bibx27" id="paren.8"/>. Based on a compilation of
data from bottle incubations that measure the net changes in oxygen over
time, <xref ref-type="bibr" rid="bib1.bibx24" id="text.9"/> and <xref ref-type="bibr" rid="bib1.bibx23" id="text.10"/> had suggested that
oligotrophic systems, and particularly the near-surface layer in the center
of the subtropical gyres, tend to be heterotrophic. They suggested, although
without any quantification, that this net heterotrophy is sustained by
organic carbon that is supplied laterally to the center of the gyres from the
adjacent, more productive regions. This claim has fueled an intense debate,
ranging from a discussion of the suitability of oxygen incubation experiments
to assessing the metabolic state of the ocean to the question of whether it is
actually possible to supply such a large amount of organic carbon through
lateral processes <xref ref-type="bibr" rid="bib1.bibx90 bib1.bibx26 bib1.bibx27" id="paren.11"/>.</p>
      <p>A key role in this debate is taken by the eastern boundary upwelling systems
(EBUSs), as these very productive continental margins
<xref ref-type="bibr" rid="bib1.bibx20 bib1.bibx17" id="paren.12"/> straddle the oligotrophic subtropical
gyres. Thus, they may provide the source of the organic carbon that fuels the
purportedly heterotrophic conditions in the latter regions
<xref ref-type="bibr" rid="bib1.bibx57 bib1.bibx88" id="paren.13"/>. In fact, with most of the net community production (NCP) measurements
indicating net heterotrophic stemming from the eastern subtropical North
Atlantic <xref ref-type="bibr" rid="bib1.bibx26" id="paren.14"/>, the Canary Upwelling System (CanUS) has been at
the center of studies addressing the offshore transport of organic carbon
<xref ref-type="bibr" rid="bib1.bibx72" id="paren.15"><named-content content-type="pre">e.g.,</named-content></xref>.</p>
      <p>Located on the eastern side of the North Atlantic Ocean, the CanUS spans the
region between the North African coast and the adjacent portion of the North
Atlantic Gyre, between 9 and 33<inline-formula><mml:math id="M3" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N <xref ref-type="bibr" rid="bib1.bibx87" id="paren.16"/>. A complex
circulation pattern determines strong subregional differences in the CanUS in
terms of circulation, mesoscale activity, seasonality of upwelling, and
biology <xref ref-type="bibr" rid="bib1.bibx8" id="paren.17"/>. The high productivity in the CanUS is
sustained both by local coastal upwelling and by meridional alongshore
advection of nutrients <xref ref-type="bibr" rid="bib1.bibx18 bib1.bibx69 bib1.bibx68 bib1.bibx9" id="paren.18"/>.
Sufficiently long water residence times in the nearshore region, favorable
light, and temperature conditions also contribute to sustaining high levels of
production <xref ref-type="bibr" rid="bib1.bibx53" id="paren.19"/>. Dedicated local surveys have demonstrated
that the export of coastally produced organic carbon from the CanUS shelf to
the open sea can be intense <xref ref-type="bibr" rid="bib1.bibx72 bib1.bibx7" id="paren.20"/> and include
living organisms <xref ref-type="bibr" rid="bib1.bibx15" id="paren.21"/>. On top of the mean Ekman transport,
persistent filaments originating on the CanUS shelf have been reported to be
able to export up to 50 % of the coastally produced organic matter as far
as several hundreds of kilometers offshore <xref ref-type="bibr" rid="bib1.bibx34 bib1.bibx67" id="paren.22"/>. Due to these
fluxes, a substantial amount of coastally produced organic carbon in the
CanUS escapes remineralization in the nearshore region and is advected
offshore towards the center of the North Atlantic Gyre <xref ref-type="bibr" rid="bib1.bibx31 bib1.bibx36 bib1.bibx3" id="paren.23"/>. Estimates from multiple local surveys
indicate that on average about 16 % of the coastal production from
phytoplankton is laterally exported to the open sea <xref ref-type="bibr" rid="bib1.bibx25" id="paren.24"/>. The
CanUS therefore constitutes a good potential candidate source region for the
organic carbon required to fuel the purportedly heterotrophic conditions in
the subtropical North Atlantic. However, despite its potential impact on
offshore biological activity <xref ref-type="bibr" rid="bib1.bibx1 bib1.bibx4" id="paren.25"/>, the magnitude
and range of the total long-range offshore transport of organic carbon in the
CanUS is still poorly quantified.</p>
      <p>The quantification of this export is notoriously difficult to achieve through
in situ studies owing to the intermittency of the transport and the
importance of eddies, filaments, and other turbulent structures
<xref ref-type="bibr" rid="bib1.bibx73 bib1.bibx64" id="paren.26"><named-content content-type="pre">e.g.,</named-content></xref>, providing models an opportunity to fill
the gap. These models need to have relatively high resolution in order to
resolve these mesoscale dynamics, forcing most studies to employ regional
models instead of global ones. However, so far relatively few high-resolution
modeling studies have focused on the CanUS compared to other upwelling
regions and even fewer have employed a fully coupled biogeochemical model
<xref ref-type="bibr" rid="bib1.bibx9 bib1.bibx32 bib1.bibx53 bib1.bibx68" id="paren.27"/>.</p>
      <p>Most of the modeling work conducted to assess the lateral redistribution of
organic carbon relied on regional configurations of the Regional Ocean
Modeling System (ROMS) and tended to focus on sub-aspects of the offshore
transport of organic matter, either by focusing on subregions or by
focusing on the offshore transport of a subset of constituents. In the most
recent study, <xref ref-type="bibr" rid="bib1.bibx9" id="text.28"/> used a regional ROMS configuration coupled to
the biogeochemical and ecological module PISCES (Pelagic Interactions Scheme for
Carbon and Ecosystem Studies) to highlight the important role of the lateral
redistribution of nutrients and phytoplankton on the CanUS shelf in
determining the complex seasonal pattern of chlorophyll and in the fueling
of the persistent Cape Blanc offshore bloom. Despite their specific focus on
phytoplankton, they extended the work of previous studies that concentrated
on the lateral transport of organic carbon in limited portions of the CanUS.
Among these studies, <xref ref-type="bibr" rid="bib1.bibx79" id="text.29"/> estimated the integrated lateral
export and production of organic carbon in the eddy corridor shed by the
Canary archipelago and its potentially big impact on the region, combining a
physical ROMS simulation with estimates of carbon concentration in the eddies
based on a few eddy surveys. With a ROMS-driven Lagrangian experiment,
<xref ref-type="bibr" rid="bib1.bibx15" id="text.30"/> studied the observed biological coupling between the
African coast and the Canary Islands in terms of the offshore transport of
ichthyoplankton (eggs and larvae of fish) by filaments. With a wider focus
area, <xref ref-type="bibr" rid="bib1.bibx32" id="text.31"/> employed a relatively simple nutrient,
phytoplankton, zooplankton, and detritus (NPZD) model coupled to their regional
configuration of ROMS to study the role of sinking speeds in the vertical
export of organic carbon to the deep ocean in the CanUS. While these studies
clearly demonstrated the importance of offshore fluxes in the CanUS, they did
not address the long-range transport of organic carbon from the CanUS into
the oligotrophic subtropical North Atlantic. This is largely due to the
limited offshore dimension of the regional ROMS configurations, with typical
offshore extents of a few hundred kilometers only.</p>
      <p>Here we overcome this limitation and provide the first comprehensive
quantification of the long-range lateral fluxes of organic carbon from the
CanUS shelf to the open North Atlantic using a new regional configuration of
ROMS. This configuration employs a basin-scale telescopic grid that allows us
to model the whole Atlantic basin in a continuous manner, while maintaining a
full eddy-resolving resolution in the region of study. Thus, this
configuration is ideally suited to assessing the long-range transport owing to
the fact that it is fully resolved on all scales. Furthermore, this permits us to push the
lateral boundaries far away from the region of interest, thus avoiding the
many challenges and distortions associated with the lateral boundary
conditions in regional studies. We couple this physical setup with a
NPZD-type ecosystem model, permitting us to address the three-dimensional
dynamics of the redistribution of POC. In particular, the vertical sinking of
the different pools of organic matter is explicitly solved for, i.e., POC is
advected and diffused in the vertical and horizontal directions. Even though
we are not taking the transport of DOC explicitly into consideration, our
results show that the organic carbon offshore flux in the CanUS significantly
enhances the carbon availability of the open waters. Substantial subregional
differences in the pattern of lateral and vertical fluxes and key pathways
for the carbon lateral redistribution are highlighted and discussed in the
context of previous research.</p>
</sec>
<sec id="Ch1.S2">
  <title>Methods</title>
<sec id="Ch1.S2.SS1">
  <title>Model configuration</title>
      <p>We employ the UCLA-ETH version of the ROMS
<xref ref-type="bibr" rid="bib1.bibx82" id="paren.32"/>, coupled with the NPZD biogeochemical ecosystem module of
<xref ref-type="bibr" rid="bib1.bibx39" id="text.33"/>. ROMS solves the 3-D hydrostatic primitive equations of
flow on a discretized curvilinear grid, using terrain following vertical
coordinates (sigma levels). Surface elevation, barotropic and baroclinic
horizontal velocity components, potential temperature, and salinity are its
prognostic variables. Vertical mixing is parameterized by the K profile
parameterization (KPP) scheme <xref ref-type="bibr" rid="bib1.bibx56" id="paren.34"/>.</p>
      <p>The NPZD ecosystem module is a nitrogen-based model with two limiting
nutrients, i.e., nitrate and ammonium, one class of phytoplankton, one class
of zooplankton, and two detritus pools, i.e., a small one that sinks very
slowly and a large one that is subject to more rapid sinking
<xref ref-type="bibr" rid="bib1.bibx39" id="paren.35"/>. These components plus a dynamic chlorophyll-to-carbon
ratio form the seven prognostic variables of the nitrogen component of the
model. An additional four state variables have been added to reflect the
cycling of carbon and oxygen, namely dissolved inorganic carbon (DIC),
alkalinity, mineral CaCO<inline-formula><mml:math id="M4" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>, and dissolved oxygen (O<inline-formula><mml:math id="M5" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>)
<xref ref-type="bibr" rid="bib1.bibx45 bib1.bibx86 bib1.bibx54" id="paren.36"/>. The carbon and oxygen cycles are
linked to the nitrogen cycle by fixed stoichiometric ratios. Thus, the fluxes
of organic carbon diagnosed in our model are actually the fluxes of organic
nitrogen multiplied by the C : N ratio assumed in the model, i.e.,
117 : 16.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><caption><p>Map of the domain of the Atlantic telescopic grid together with a
snapshot of the modeled sea surface temperature. <bold>(a)</bold> Map of the full
domain. Shown is every 20th grid line. Dashed isolines indicate the
resolution of the grid in kilometers. The light blue square highlights the region of
interest used for the CanUS plots throughout the whole paper (5 to
40<inline-formula><mml:math id="M6" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N and <inline-formula><mml:math id="M7" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>40 to <inline-formula><mml:math id="M8" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>5<inline-formula><mml:math id="M9" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E); the black square indicates
the region used for the zoomed-in subplot. <bold>(b)</bold> Zoom on the Canary
Islands region with actual grid resolution. Every 20th line is plotted
thicker, corresponding to the grid lines shown in <bold>(a)</bold>. As a point of
reference, the island of Gran Canaria (G) has a diameter of about
45 km.</p></caption>
          <?xmltex \igopts{width=312.980315pt}?><graphic xlink:href="https://bg.copernicus.org/articles/14/3337/2017/bg-14-3337-2017-f01.png"/>

        </fig>

      <p>POC in the model, i.e., the sum of
phytoplankton, zooplankton, and the two detritus pools, is subject to
advection and diffusion in vertical and horizontal directions, as well as
explicit vertical sinking (the latter does not apply to zooplankton,
however). Sinking velocities for phytoplankton, small detritus, and large
detritus are 0.5, 1, and 10 m day<inline-formula><mml:math id="M10" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, respectively (see
<xref ref-type="bibr" rid="bib1.bibx40" id="altparen.37"/>, for a complete set of parameters). POC is formed through phytoplankton growth and is lost through zooplankton
respiration and the remineralization of the two detrital pools. Within the
organic carbon pool, phytoplankton mortality feeds into the small detritus
pool, while zooplankton mortality and phytoplankton excretion is routed to
both the small and large detritus pools with constant proportions.
Coagulation of phytoplankton with small detritus as well as coagulation of
small detritus with small detritus also forms large detritus, while no
disaggregation is considered in our NPZD model, i.e., large detritus cannot
disaggregate back into small detritus. Bacterial remineralization of organic
matter is modeled as an implicit process through the definition of constant
remineralization rates and takes place both in the water column and in the
sediments. The sediments act as a temporal buffer in our model, receiving the
organic matter from the water column and then slowly remineralizing it back
to its inorganic constituents, which are immediately released back to the
overlying water column. Neither burial nor sediment resuspension is
considered. As the model does not include an explicit DOC pool, our modeled
total organic carbon corresponds to POC only. However, the small detritus,
given its very small sinking speed, behaves essentially as a suspended POC
pool, i.e., it shares many similarities to DOC. To assess the possible
implications of neglecting DOC, we run a sensitivity experiment where we
turn the small detritus pool into essentially DOC by setting its sinking
velocity to zero and by reducing it coagulation rate.</p>
      <p>In order to optimally model the long-range transport of organic matter from
the CanUS to the open North Atlantic, we employ a newly developed Atlantic
telescopic grid (Fig. <xref ref-type="fig" rid="Ch1.F1"/>) that covers the full Atlantic basin
(<inline-formula><mml:math id="M11" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>60 to 70<inline-formula><mml:math id="M12" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N) while having a strong focus in resolution toward
the northwestern African coast. This was achieved using a conformal mapping
that moves one pole of the ROMS grid over northwestern Africa (4<inline-formula><mml:math id="M13" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W,
20<inline-formula><mml:math id="M14" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N) and the other over central Asia (75<inline-formula><mml:math id="M15" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E,
37<inline-formula><mml:math id="M16" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N). The grid has a dimension of 813 <inline-formula><mml:math id="M17" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 397 grid points, with a
resolution that goes from a full eddy-resolving 4.7 km near the African
coast to a relatively coarse 50 km in the western South Atlantic and in the
Caribbean (Fig. <xref ref-type="fig" rid="Ch1.F1"/>). Within the CanUS region as defined in our
analysis, the resolution ranges between 4.7 km at the coast and 19.5 km. In
the vertical, we are considering 42 terrain-following (<inline-formula><mml:math id="M18" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula>) levels with
a surface refinement that allows to have a better vertical resolution in the
euphotic layer. We use a new vertically stretched grid that transitions more
rapidly from a pure terrain-following orientation to a more horizontal
orientation in order to reduce spurious mixing in the stratified open ocean.</p>
</sec>
<sec id="Ch1.S2.SS2">
  <title>Boundary conditions</title>
      <p>The coupled ROMS <inline-formula><mml:math id="M19" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> NPZD model was run with monthly mean climatological
forcing at the surface, including the fluxes of heat and freshwater, solar
shortwave radiation, wind stress, and atmospheric <inline-formula><mml:math id="M20" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>CO<inline-formula><mml:math id="M21" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>. All forcings were
derived from ERA-Interim reanalysis <xref ref-type="bibr" rid="bib1.bibx22" id="paren.38"/>, with the exception
of atmospheric <inline-formula><mml:math id="M22" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>CO<inline-formula><mml:math id="M23" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, which was computed from the GLOBALVIEW marine
boundary layer product (<xref ref-type="bibr" rid="bib1.bibx38" id="altparen.39"/>; see
<xref ref-type="bibr" rid="bib1.bibx55" id="altparen.40"/>, for details). A detailed description of the data
sources used for the forcing is provided in Appendix A: Table A1a and b. We
next describe some corrections we had to apply to the forcing.</p>
      <p>The shortwave radiation and total heat flux fields based on ERA-Interim have
been shown to be biased high in regions of persistent cover with
stratocumulus clouds <xref ref-type="bibr" rid="bib1.bibx16" id="paren.41"/>. This is particularly relevant in
the southern subregion of the CanUS, where stratocumulus are very pervasive
and not well represented in the ERA-Interim reanalysis. We thus apply
corrections to the original ERA-Interim reanalysis fields, taking advantage
of the work by the Drakkar community <xref ref-type="bibr" rid="bib1.bibx29" id="paren.42"/>. They have already
developed corrected forcing fields, i.e., the Drakkar forcing sets (DFSs)
<xref ref-type="bibr" rid="bib1.bibx29" id="paren.43"/> on the basis of the ERA-Interim reanalysis
<xref ref-type="bibr" rid="bib1.bibx16" id="paren.44"/>, providing the corrected fields for the downwelling
surface shortwave radiation (DSWR) and downwelling surface longwave
radiation (DLWR). We thus compute correction masks ourselves, using the
difference between the DFS and the uncorrected ERA-Interim data sets as the
basis. Concretely, we first computed monthly means of the DFS daily
climatology DSWR and DLWR. The monthly climatological means of the same two
variables from ERA-Interim for the period were then used as a reference to
calculate correction masks (<inline-formula><mml:math id="M24" display="inline"><mml:mi>C</mml:mi></mml:math></inline-formula>) for each month by simply differencing, i.e.,
<inline-formula><mml:math id="M25" display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mtext>dswr</mml:mtext></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mtext>ERA</mml:mtext><mml:mtext>dswr</mml:mtext></mml:msub><mml:mo>-</mml:mo><mml:msub><mml:mtext>DFS</mml:mtext><mml:mtext>dswr</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> and
<inline-formula><mml:math id="M26" display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mtext>dlwr</mml:mtext></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mtext>ERA</mml:mtext><mml:mtext>dlwr</mml:mtext></mml:msub><mml:mo>-</mml:mo><mml:msub><mml:mtext>DFS</mml:mtext><mml:mtext>dlwr</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>. These
correction masks were then regridded to our grid and applied to our
ERA-Interim-derived monthly climatological mean forcing solar radiation (<inline-formula><mml:math id="M27" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula>)
and total heat flux (TH) so that <inline-formula><mml:math id="M28" display="inline"><mml:mrow><mml:msup><mml:mi>S</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mo>=</mml:mo><mml:mi>S</mml:mi><mml:mo>-</mml:mo><mml:msub><mml:mi>C</mml:mi><mml:mtext>dswr</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M29" display="inline"><mml:mrow><mml:msup><mml:mtext>TH</mml:mtext><mml:mo>′</mml:mo></mml:msup><mml:mo>=</mml:mo><mml:mtext>TH</mml:mtext><mml:mo>-</mml:mo><mml:mo>(</mml:mo><mml:msub><mml:mi>C</mml:mi><mml:mtext>dlwr</mml:mtext></mml:msub><mml:mo>+</mml:mo><mml:msub><mml:mi>C</mml:mi><mml:mtext>dswr</mml:mtext></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>.</p>
      <p>Another correction to the forcing regards the regions with sea ice cover at
the northern boundary of the domain. Here we account for freshwater and
latent heat fluxes associated with sea ice formation and melting by
correcting the surface fluxes of the model forcing. An offline correction for
the forcing was calculated from the ERA-Interim sea ice fraction (<inline-formula><mml:math id="M30" display="inline"><mml:mi>c</mml:mi></mml:math></inline-formula>) and
National Snow and Ice Data Center (NSIDC) sea ice drift (<inline-formula><mml:math id="M31" display="inline"><mml:mi mathvariant="bold-italic">u</mml:mi></mml:math></inline-formula>) monthly climatologies. Using these two
data sets, the corrections to the freshwater flux (<inline-formula><mml:math id="M32" display="inline"><mml:mrow><mml:msub><mml:mi>F</mml:mi><mml:mtext>fw</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>) were
calculated according to <xref ref-type="bibr" rid="bib1.bibx44" id="text.45"/> but simplified by using monthly
mean climatologies, a constant sea ice thickness <inline-formula><mml:math id="M33" display="inline"><mml:mrow><mml:msub><mml:mi>h</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1.5</mml:mn></mml:mrow></mml:math></inline-formula> m, and a sea
ice density <inline-formula><mml:math id="M34" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">ρ</mml:mi><mml:mtext>ice</mml:mtext></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">910</mml:mn></mml:mrow></mml:math></inline-formula> kg m<inline-formula><mml:math id="M35" 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>. An analogous equation was
used to calculate the correction to the heat flux (<inline-formula><mml:math id="M36" display="inline"><mml:mrow><mml:msub><mml:mi>F</mml:mi><mml:mi mathvariant="normal">h</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>), so that
<inline-formula><mml:math id="M37" display="inline"><mml:mrow><mml:msub><mml:mi>F</mml:mi><mml:mi mathvariant="normal">h</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mi mathvariant="italic">ρ</mml:mi><mml:mtext>ice</mml:mtext></mml:msub><mml:mi>L</mml:mi><mml:mo>⋅</mml:mo><mml:msub><mml:mi>h</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:mo>∂</mml:mo><mml:mo>(</mml:mo><mml:mi>A</mml:mi><mml:mi>c</mml:mi><mml:mo>)</mml:mo><mml:mo>/</mml:mo><mml:mo>∂</mml:mo><mml:mi>t</mml:mi><mml:mo>+</mml:mo><mml:mi mathvariant="bold">∇</mml:mi><mml:mo>(</mml:mo><mml:mi>A</mml:mi><mml:mi>c</mml:mi><mml:mi mathvariant="bold-italic">u</mml:mi><mml:mo>)</mml:mo><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, where <inline-formula><mml:math id="M38" display="inline"><mml:mi>A</mml:mi></mml:math></inline-formula> is the grid box area, and <inline-formula><mml:math id="M39" display="inline"><mml:mi>L</mml:mi></mml:math></inline-formula> the
latent heat of fusion of water. The heat flux is constrained throughout the
model simulation, so that the surface temperature cannot drop below the
freezing temperature <xref ref-type="bibr" rid="bib1.bibx84" id="paren.46"/>, which prevents strong heat loss in
areas covered by sea ice.</p>
      <p>River runoff in the form of monthly climatological data <xref ref-type="bibr" rid="bib1.bibx21" id="paren.47"/> was
also added to the freshwater fluxes. River sources were regridded to the
closest ocean grid point and spread to a number of adjacent ocean grid points
that depends the order of magnitude of the incoming flux to avoid numerical
problems.</p>
      <p>The model was run with open lateral boundaries at all grid boundaries
confined by water, including at the Strait of Gibraltar. These climatological
monthly lateral boundary conditions were prepared the same way as in previous
studies <xref ref-type="bibr" rid="bib1.bibx54" id="paren.48"/>. A detailed description of the data sets used for
the boundary conditions can be found in Appendix A: Table A2.</p>
</sec>
<sec id="Ch1.S2.SS3">
  <title>Simulation and analysis</title>
      <p>The model was initialized to be at rest with temperature, salinity, nitrate,
and the inorganic carbon parameters corresponding to the mean climatological
value of December and January. The remaining biogeochemical variables were
initialized to small non-zero values. The model was then run forward in time
for a total of 35 years, using the monthly climatological forcing described
above. We use the first 29 years as spin-up, and undertake our analysis using
the last 6 years (years 30 to 35) of the simulation. This permits us to
obtain a good representation of the climatological mean state of the CanUS,
i.e., to average out the substantial intrinsic variability present in the
setup.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><caption><p>Evaluation of the modeled annual mean fields in the CanUS region.
<bold>(a)</bold> Sea surface height (SSH), <bold>(b)</bold> sea surface temperature
(SST), <bold>(c)</bold> sea surface salinity (SSS), and <bold>(d)</bold> mixed layer
depth (MLD). The left column is the model, the middle column is the observations, and the right
column is the
difference between model and data. A detailed description of the data used
for the evaluation is provided in Appendix A: Table A3.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://bg.copernicus.org/articles/14/3337/2017/bg-14-3337-2017-f02.png"/>

        </fig>

      <p>To quantify the offshore transport of organic carbon including all its
biogeochemical transformations, we undertake a full budget analysis,
calculating all fluxes of organic carbon within each grid box and between all
adjacent boxes. The organic carbon budget analysis fluxes include physical
fluxes through the boundaries of the boxes and the integrated biological flux
within each box. Physical fluxes include vertical and horizontal advective
fluxes in the three directions, vertical mixing fluxes associated with the
eddy diffusivity, and the vertical sinking flux. The net biological flux of
organic carbon within each box is equivalent to the net community production
(NCP), i.e., the net amount of carbon added or removed by biological
activity, computed by summing all organic carbon production processes
(phytoplankton growth) minus the sum of all processes that convert organic
carbon back to inorganic forms (respiration and remineralization). In our
analysis we disregarded the contribution of the horizontal and vertical
mixing associated with the background diffusivity. We also used a fixed depth
for the sigma layers that define the box boundaries, disregarding their
vertical oscillations. Both approximations can result in small residuals in
the budget analysis.</p>
      <p>For the whole CanUS, defined as the region between 9.5 and 32<inline-formula><mml:math id="M40" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, we
have defined two layers of three-dimensional large-scale boxes. Each depth layer
has a constant thickness of 100 m, very close to the mean depth of the
euphotic layer in the CanUS region (98.7 m), so that our analysis spans in
total the first 200 m of depth. Each depth layer is subdivided into the same
five offshore boxes up to 2000 km distance from the northwest African coast
according to the following ranges of distances (1) 0 to 100 km from the
coast, narrow coastal box directly influenced by the coastal upwelling;
(2) from 100 to 500 km offshore; (3) from 500 to 1000 km offshore; (4) from
1000 to 1500 km offshore; and (5) from 1500 to 2000 km offshore.</p>
      <p>To highlight the different roles of the three fundamental zonal bands in the
CanUS, we divided the EBUS into three subregions (southern, central,
northern), maintaining for each subregion the same five offshore domains as
for the previous analysis and considering only the euphotic layer
(0–100 m). Subregional boundaries were placed at 17 and 24.5<inline-formula><mml:math id="M41" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N.
This allows us to distinguish between three regimes of circulation and
production of the CanUS: a northern subregion dominated by coastal upwelling
and coastal filaments, a southern tropical subregion, and a central subregion
where the Canary and Mauritanian currents (CC and MC, respectively) converge to form the Cabo
Verde front <xref ref-type="bibr" rid="bib1.bibx71" id="paren.49"/>. The lateral extension of the full CanUS boxes and
of the subregional boxes is presented in Fig. 3 together with the pattern of
the modeled currents.</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <title>Evaluation</title>
      <p>The model represents the general circulation of the whole Atlantic Basin
well with a particularly good agreement between the modeled sea surface height
(SSH) and the observed one (Appendix B: Fig. <xref ref-type="fig" rid="App1.Ch1.F1"/>). Less
well modeled is the SSH on the eastern side of the North Atlantic Gyre and in
particular in the Gulf Stream region. Especially problematic is the too-northerly separation of the Gulf Stream from the North American coast, a
problem shared with many ocean general circulation models. These deviations
are likely connected to our relatively coarse resolution in that part of the
domain (Fig. <xref ref-type="fig" rid="Ch1.F1"/>). However, they occur far away from the region of
interest and are thus considered tolerable for the purpose of this study.
The SST pattern is also well represented; differences are concentrated in the
near equatorial region and are probably connected to a weaker equatorial
circulation and a possible residual overestimation of the net heat flux in
this region despite the correction we applied to the original forcing.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><caption><p>Maps of the circulation of the Canary Current System.
<bold>(a)</bold> Schematic depiction with major currents adapted from
<xref ref-type="bibr" rid="bib1.bibx8" id="text.50"/>; <bold>(b)</bold> modeled system of currents with vertically
averaged flow in the first 100 m depth. Black lines represent the boundaries
of the budget analysis regions for the full CanUS analysis, while red lines
indicate the two extra subregional boundaries. The full CanUS covers the region
between 32 and 9.5<inline-formula><mml:math id="M42" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N. Subregional boundaries are at 17 and
24.5<inline-formula><mml:math id="M43" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N. From east (African coast) to west, boxes span the following
ranges of offshore distances: 0–100, 100–500, 500–1000, 1000–1500,
and 1500–2000 km.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://bg.copernicus.org/articles/14/3337/2017/bg-14-3337-2017-f03.png"/>

      </fig>

      <p>A zoom on the northeastern Atlantic region allows us to evaluate the
representation of the variables in our region of study, i.e., the CanUS.
Here, modeled annual mean SSH (Fig. <xref ref-type="fig" rid="Ch1.F2"/>a) and SST
(Fig. <xref ref-type="fig" rid="Ch1.F2"/>b) are well reproduced with a clearly visible
signature of low SSH and cold water along the African coast as a result of
the Ekman upwelling.</p>
      <p>Some differences in SSH are discernible at the northern boundary owing to the
eastward flowing Azores Current being located slightly more south than
observed. A slight shift south is also visible at the southern boundary.
Despite the stratus cloud correction, the modeled SSTs are still a bit too
warm in the southern sector of the CanUS. However, differences between model
and observations are limited to the interval [<inline-formula><mml:math id="M44" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.75 <inline-formula><mml:math id="M45" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C,
1 <inline-formula><mml:math id="M46" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C] over the large majority of the domain, with a large fraction
of this bias having a range of only <inline-formula><mml:math id="M47" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.5 <inline-formula><mml:math id="M48" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C. Larger differences
are confined to a very narrow coastal band. The model also captures the
observed sea surface salinity (SSS, Fig. <xref ref-type="fig" rid="Ch1.F2"/>c) well;
relevant positive differences are only observed in the southern CanUS, in
connection with the warm SST bias, resulting in a compensation of the
density. Overall, we consider these biases to be small relative to the
spatial and temporal variations; therefore, we expect these SST and SSS biases
to have a minor impact on the conclusions of our study.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><caption><p>Maps evaluating the chlorophyll and primary production in
the CanUS. <bold>(a)</bold> Comparison of annual mean surface chlorophyll (CHL)
between ROMS (left column) and SeaWiFS (right column).
<bold>(b)</bold> Comparison of annual vertically integrated net primary
production (NPP) between ROMS (left column) and the VGPM estimated on the
basis of the SeaWiFS data (right column). A detailed description of the data
used for the evaluation is provided in Appendix A: Table A3.</p></caption>
        <?xmltex \igopts{width=312.980315pt}?><graphic xlink:href="https://bg.copernicus.org/articles/14/3337/2017/bg-14-3337-2017-f04.png"/>

      </fig>

      <p>The modeled annual mean mixed layer depth (MLD, Fig. <xref ref-type="fig" rid="Ch1.F2"/>d)
is consistent with the general pattern of the Argo-based MLD product, even
though the modeled pattern has sharper gradients. Values
of the MLD that are deeper than observed are visible in the northern sector of the CanUS and in the
nearshore waters of the southern sector of the CanUS. It is worth noting that
the Argo data set was generated on a relatively low-resolution grid, i.e.,
2<inline-formula><mml:math id="M49" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M50" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 2<inline-formula><mml:math id="M51" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>, and thus likely underestimates lateral
gradients. In addition, the float coverage in the eastern boundary current system
is relatively low, owing to the strong currents and the offshore transport,
making the Argo-based MLD product vulnerable for biases in these regions.
Nevertheless, some of the differences are likely real, as they also appear in
other products. This is particularly the case for the overestimation of MLD
in the nearshore region of the southern CanUS and in the long strip extending
southwestward from the Canary Islands, possibly due to biases in the position
of the large-scale currents as evidenced by the differences in SSH
(Fig. <xref ref-type="fig" rid="Ch1.F2"/>a).</p>
      <p>The modeled annual mean circulation averaged over the first 100 m of depth
corresponds well to the system of currents described schematically in
<xref ref-type="bibr" rid="bib1.bibx60" id="text.51"/> and <xref ref-type="bibr" rid="bib1.bibx8" id="text.52"/> (Fig. <xref ref-type="fig" rid="Ch1.F3"/>). The
Canary Current System is delimited on the northern edge by the eastward-flowing Azores Current and on the southern edge by the eastward-flowing North
Equatorial Countercurrent (NECC). Within these boundaries two currents flow in
opposite directions along the African coast: the CC flows
southward between Cap Beddouza (33<inline-formula><mml:math id="M52" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N) and Cape Blanc
(21<inline-formula><mml:math id="M53" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N), while the weaker and seasonal MC
flows northward between 10<inline-formula><mml:math id="M54" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N and Cape Blanc (21<inline-formula><mml:math id="M55" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N).
Between the CC and the African coast, an intense and narrow Canary Upwelling
Current (CUC) flows southward along the shelf <xref ref-type="bibr" rid="bib1.bibx61" id="paren.53"/>. A poleward
undercurrent (not shown) flows along the whole North African coast with its
core typically centered at 200–300 m depth <xref ref-type="bibr" rid="bib1.bibx70" id="paren.54"/>. Next to
Cape Blanc, both the CC and the MC detach from the coast and flow offshore,
forming the Cabo Verde frontal zone, a natural boundary for the flow of water
masses and tracers in the region. This front divides the region into a
northern so-called Moroccan subregion and a southern Mauritanian–Senegalese
subregion that differ in both physical circulation and biological activity.</p>
      <p>The offshore gradients in annual mean sea surface chlorophyll (CHL) are well
captured by the model (Fig. <xref ref-type="fig" rid="Ch1.F4"/>a) in the northern CanUS, where the
absolute values are very close to the observations. Not as well captured is the
surface CHL in the productive southern sector of the CanUS, where the model
substantially underestimates CHL at the surface. This is also the region
where the model is biased too warm and salty, and where the modeled MLD
exceeds the expected near-zero value, suggesting that this low surface CHL is
primarily a consequence of our physical biases in circulation and vertical
stratification.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><caption><p><bold>(a)</bold> Circulation in the CanUS by season. ROMS (left column)
and drifters (right column). ROMS output was integrated in the first 15 m
depth to be comparable with the drifter data. <bold>(b)</bold> Vertically
integrated net primary production (NPP) from ROMS (right) and SeaWiFS VGPM
estimate. A detailed description of the data used for the evaluation is
provided in Appendix A: Table A3.</p></caption>
        <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://bg.copernicus.org/articles/14/3337/2017/bg-14-3337-2017-f05.png"/>

      </fig>

      <p>Our analysis of the vertical CHL distribution reveals that in the southern
CanUS the modeled CHL has a deep maximum located between 20 and 50 m depth,
while little of the CHL is found in the surface layer (see Appendix B,
Fig. <xref ref-type="fig" rid="App1.Ch1.F2"/>). The depth of the modeled CHL maximum is deeper than
what can be expected for this region, according to local surveys. This deep
bias of the chlorophyll maximum, and therefore of production, may be
connected to the too-deep modeled mixed layer in the surroundings of the Cabo
Verde islands, a region in which the observed MLD is very shallow, or to a
too-fast depletion of the nutrients at the upper edge of the nutricline. This primary production that is deeper than observed may result in a less-intense lateral
transport of CHL in this subregion given the decline of the advective
currents with depth. This potential limitation will be discussed in depth
throughout the paper.</p>
      <p>Modeled vertically integrated chlorophyll (not shown) as well as total annual
net primary production (NPP) (Fig. <xref ref-type="fig" rid="Ch1.F4"/>b), instead show intense
biological activity in the southern CanUS, where NPP reaches values higher
than in the northern subregion, especially offshore. However, modeled values
of NPP are lower than the SeaWiFS Vertically Generalized Production Model (VGPM) estimates by about 3-fold. Other NPP
estimates such as those based on SeaWiFS Carbon-based Production Model (CbPM) and MODIS Aqua VGPM (detailed
descriptions of all the used data sets is provided in Appendix A: Table A3)
provide substantially lower estimates of primary production that are slightly
closer to our modeled values, but the comparison does not substantially
change the picture. Despite this underestimation, the pattern and the
offshore gradient of the modeled NPP agree with the estimates and allow us to
discuss the impact of the organic carbon fluxes in terms of relative changes
in the local carbon availability. A nearly homogeneous 3-fold increase in the
modeled NPP would in fact not affect this analysis, even though it would
likely change the absolute values of the fluxes of organic carbon that may
exceed those found by our study.</p>
      <p>Modeled POC concentrations have annual mean
values between 5 and over 20 mmol C m<inline-formula><mml:math id="M56" 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 the first 100 m depth of
the very productive shelf areas, lying therefore in the range of in situ
observations <xref ref-type="bibr" rid="bib1.bibx1 bib1.bibx7 bib1.bibx80 bib1.bibx31" id="paren.55"/>.
Concentrations decline in the offshore direction, with a pattern similar to
that of NPP, and have maximum values located between 20 m depth in the shelf
area and 70 m depth offshore. The modeled POC compares well to the limited
in situ data (see Appendix B: Fig. <xref ref-type="fig" rid="App1.Ch1.F3"/>) especially with regard
to the vertically integrated stocks in the first 100 m. However, due to our
coastally confined production combined with the fact that cruise data were
mostly collected offshore, and due to the deepening of the chlorophyll
maximum in the southern productive subregion, we observe a
deeper-than-expected POC maximum in the model, in agreement with the vertical
bias in CHL. Due to the absence of sediment resuspension and of a mechanism
of disaggregation of the large detrital particles in the model, deep peaks of
POC such as those present in <xref ref-type="bibr" rid="bib1.bibx1" id="text.56"/> and
<xref ref-type="bibr" rid="bib1.bibx3" id="text.57"/> are not observed in the annual mean modeled POC
concentration.</p>
      <p>A further important evaluation concerns the seasonal cycle, especially since
the CanUS is characterized by the most intense seasonal variability among all
EBUSs <xref ref-type="bibr" rid="bib1.bibx20" id="paren.58"/>. The first two columns in Fig. <xref ref-type="fig" rid="Ch1.F5"/>
show a comparison between model and observations of the seasonal variations
in the circulation in the CanUS averaged in the first 15 m, the depth of
integration of the drifters. The plot reveals that the modeled CanUS
circulation agrees well with the data collected by the drifters on the
seasonal scale. As expected, an enhanced offshore flow is visible in summer
in the northern Moroccan subregion and in winter and spring in the southern
Mauritanian–Senegalese subregion. The alongshore CC is clearly
visible in the northern sector of the CanUS. The MC seems to
be weaker than observed especially in summer and to a smaller extent in fall.
However, the MC is clearly visible in Fig. <xref ref-type="fig" rid="Ch1.F3"/>b,
in which the simulated flow is vertically integrated over the first 100 m
depth. Vertical sections of the modeled meridional flow (not shown) also show
a clear northward flow corresponding to the MC below 10 m
depth. The modeled MC is therefore slightly deeper than
observed, possibly due to a deeper MLD observed at the southern CanUS coast
(see Fig. <xref ref-type="fig" rid="Ch1.F2"/>). The seasonality of the NECC is well represented, even though its modeled flow in summer
and fall is less intense than in the drifter data. The
circulation that is weaker than observed in the southern sector of the CanUS will be taken into account in
the discussion of the model results.</p>
      <p>Since we are interested in quantifying the offshore fluxes of organic carbon
throughout the upper few hundreds of meters, vertically integrated NPP is a
better measure than surface chlorophyll for evaluating the capacity of our
model to reproduce the expected pattern of organic carbon. NPP in the CanUS
is strongly influenced by the pattern of currents: the Cabo Verde frontal
zone separates a southern area of extended offshore production from a
northern subregion in which productivity declines offshore
<xref ref-type="bibr" rid="bib1.bibx8" id="paren.59"/>. Previous studies and SeaWiFS estimates show that
productivity in the northern CanUS is dominated by a summer peak, while
productivity in the southern CanUS shows peaks in late winter and spring
<xref ref-type="bibr" rid="bib1.bibx72 bib1.bibx68" id="paren.60"/>. This seasonality and subregional variability
is well represented by our model at all latitudes of the CanUS. In both model
and observations, the southern Mauritanian–Senegalese subregion is the most
productive area of the CanUS and is characterized by a reduced offshore
gradient of NPP, while the northern Moroccan subregion is characterized by a
sharp offshore gradient of production. The convergence of the coastal
currents in the region of Cape Blanc fuels a persistent offshore bloom
<xref ref-type="bibr" rid="bib1.bibx9" id="paren.61"/> that clearly appears both in the SeaWiFS product and in the
model.</p>
      <p>As visible from the Taylor diagrams (Appendix B, Figs. <xref ref-type="fig" rid="App1.Ch1.F4"/> and
<xref ref-type="fig" rid="App1.Ch1.F5"/>), the agreement between the pattern of the physical and
biological variables of interest is also confirmed by the good correlation
between modeled and observed fields for both the annual and the seasonal
means. All the variables have a correlation of 0.7 or higher with the
observations in the annual mean (except cruise data POC) and 0.68 or higher
in the seasonal. In the annual mean, the values of the normalized standard
deviations are particularly high for annual mean MLD (1.5), which is, as
discussed above, due to a combination of too-low variations in the Argo-based
observational product and overestimation of the MLD variations by the model.
Low values of the normalized standard deviations (SDs) are observed for
surface POC (0.65), CHL (0.6), and for net primary production (NPP1) (0.35),
the latter corresponding to NPP from the SeaWiFS VGPM product. This is likely
due to the weaker intensity of the modeled blooms. Interestingly, if modeled
NPP is compared to the SeaWiFS CbPM product (NPP2), the normalized SD
increases to 0.75, reflecting the rather large uncertainties in the NPP
inferred from observations. In the annual mean, values of correlation and
normalized SD for MLD, SST, and CHL are comparable to those presented for the
CanUS in the ROMS <inline-formula><mml:math id="M57" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> NPZD study by <xref ref-type="bibr" rid="bib1.bibx53" id="text.62"/>, despite the
boundaries of our grid being much further away, and therefore providing far fewer constraints on the modeled physics and biology in the region of
interest. When compared to studies that used ROMS <inline-formula><mml:math id="M58" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> NPZD in other
upwelling systems such as the California upwelling system
(<xref ref-type="bibr" rid="bib1.bibx40" id="altparen.63"/>, whole domain), our Taylor diagram shows a slightly
worse correlation and comparable normalized SD of surface CHL in the annual
mean but a better seasonal representation, while modeled NPP has comparable
performances.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><caption><p>Maps of vertically integrated net community production including
sediment remineralization. <bold>(a)</bold> NCP integrated over the full water
column (<inline-formula><mml:math id="M59" display="inline"><mml:mo>∫</mml:mo></mml:math></inline-formula>NCP). This represents the net amount of organic carbon
available for lateral redistribution. <bold>(b)</bold> NCP vertically integrated
over the top 100 m only, including sediment remineralization.
<bold>(c)</bold> As in <bold>(b)</bold> but for the depth range from 100 m to the bottom.
Green indicates positive <inline-formula><mml:math id="M60" display="inline"><mml:mo>∫</mml:mo></mml:math></inline-formula>NCP (net source of organic carbon) while red
means negative <inline-formula><mml:math id="M61" display="inline"><mml:mo>∫</mml:mo></mml:math></inline-formula>NCP (net sink of organic carbon).</p></caption>
        <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://bg.copernicus.org/articles/14/3337/2017/bg-14-3337-2017-f06.png"/>

      </fig>

      <p>In summary, the evaluation revealed that our modeling system is well suited
to investigating the offshore transport of organic matter from the nearshore
regions of the CanUS into the North Atlantic. It also showed a couple of
shortcomings, especially with regard to our lack of explicit consideration of
the role of DOC, and a model bias in a few regions, especially in the
southern part of the CanUS. We will investigate and discuss the impact of
these shortcomings in the discussion section below.</p>
</sec>
<sec id="Ch1.S4">
  <title>Results</title>
<sec id="Ch1.S4.SS1">
  <title>NCP: linking sources and sinks of organic carbon</title>
      <p>The simulation reveals in the long-term mean a strong onshore–offshore
difference in the vertically integrated NCP, here <inline-formula><mml:math id="M62" display="inline"><mml:mo>∫</mml:mo></mml:math></inline-formula>NCP, i.e., primary
production minus respiration and remineralization integrated from the bottom of
the ocean up to the surface, including remineralization in the sediments
(Fig. <xref ref-type="fig" rid="Ch1.F6"/>a).</p>
      <p>The full water column <inline-formula><mml:math id="M63" display="inline"><mml:mo>∫</mml:mo></mml:math></inline-formula>NCP is negative across nearly the entire eastern
subtropical North Atlantic, while only a narrow strip of less than 100 km
along the northwestern African coast and a few offshore regions in the
southern part of the domain have positive values. This implies that the
majority of the region is net heterotrophic, as within each column of water
including the sediments more organic matter is being consumed than what is
being produced locally. In contrast, the shelf regions of the CanUS are
characterized by high levels of organic carbon production that exceed local
consumption in the total water column and sediments, leading to a positive
<inline-formula><mml:math id="M64" display="inline"><mml:mo>∫</mml:mo></mml:math></inline-formula>NCP and therefore an excess of organic carbon, which is available for
lateral export.</p>
      <p>A very different offshore gradient exists if NCP is just integrated over the
top 100 m (Fig. <xref ref-type="fig" rid="Ch1.F6"/>b). Despite the full water column heterotrophy
of the offshore waters, the top 100 m of the CanUS has a positive NCP at
every latitude and distance from the coast, i.e., it is, on average, a net
source of organic carbon. In contrast, NCP integrated from 100 m depth
downward (Fig. <xref ref-type="fig" rid="Ch1.F6"/>c) is negative everywhere, i.e., this part of the
water column and the underlying sediments are net heterotrophic. Thus, the
negative <inline-formula><mml:math id="M65" display="inline"><mml:mo>∫</mml:mo></mml:math></inline-formula>NCP of the offshore waters (Fig. <xref ref-type="fig" rid="Ch1.F6"/>a) arises from
the excess of respiration at depth over the net production in the overlying
surface ocean.</p>
      <p>This switch between positive and negative NCP in the CanUS happens on average
at <inline-formula><mml:math id="M66" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 60 m in the nearshore regions, deepening to <inline-formula><mml:math id="M67" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 100 m in the
offshore region, separating a layer of high net production from a layer of
intense net respiration (Fig. <xref ref-type="fig" rid="Ch1.F7"/>a). This depth corresponds
very closely to the euphotic zone depth, here defined by the level at which
the light intensity at the surface is attenuated to 1 %. Furthermore,
this is also just below the depth of the maximum organic carbon concentration
(Fig. <xref ref-type="fig" rid="Ch1.F7"/>b). In the upper 100 m, the majority of this organic
carbon stems from small detritus and phytoplankton, while below that depth
and particularly in the nearshore areas, the large particles dominate. The
contribution of zooplankton to the total organic carbon pool is substantial,
but never dominant (see Appendix B, Fig. <xref ref-type="fig" rid="App1.Ch1.F6"/>).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><caption><p>Mean vertical sections of <bold>(a)</bold> NCP and <bold>(b)</bold> POC in
the Canary EBUS, averaged meridionally along lines of equal distance from the
coast between 9.5 and 32<inline-formula><mml:math id="M68" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://bg.copernicus.org/articles/14/3337/2017/bg-14-3337-2017-f07.png"/>

        </fig>

      <p>Since there is no substantial accumulation of organic carbon in the long-term
mean in any of the reservoirs, this onshore–offshore gradient in <inline-formula><mml:math id="M69" display="inline"><mml:mo>∫</mml:mo></mml:math></inline-formula>NCP
requires a considerable amount of organic carbon that is transported from the
shelf region into the open subtropical North Atlantic. To understand this
complex spatial pattern of autotrophic and heterotrophic activity in the
region, we next quantify the lateral and vertical fluxes of organic carbon in
the CanUS.</p>
</sec>
<sec id="Ch1.S4.SS2">
  <title>Long-range offshore transport of organic carbon</title>
      <p>The dominant nature of the offshore transport of organic carbon from the
northwestern African shelf becomes clear by inspecting the annual mean and
meridionally averaged section of the zonal flux of organic carbon
(Fig. <xref ref-type="fig" rid="Ch1.F8"/>a). This transport is negative nearly everywhere,
indicating a westward, i.e., offshore transport, with the exception of the
very nearshore region, where the narrow upwelling cell recirculates the
organic carbon back onshore. This offshore flux spans the entire 2000 km
range of distances from the coast in the first 200 m of depth, resulting in
a continuous displacement of the organic carbon from the nearshore waters to
the open sea. Only in the very nearshore region, does the narrow upwelling cell
cause the zonal flux to recirculate the organic carbon onshore.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><caption><p>Mean vertical sections of the physical fluxes of organic carbon in
the Canary EBUS, averaged meridionally along lines of equal distance from the
coast between 9.5 and 32<inline-formula><mml:math id="M70" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N. <bold>(a)</bold> Zonal flux of organic
carbon, with positive values indicating eastward (onshore) transport.
<bold>(b)</bold> Meridional flux of organic carbon, with positive values
indicating northward transport. <bold>(c)</bold> Sum of vertical advective and
mixing (eddy-diffusive) fluxes, with positive values meaning upward transport.
<bold>(d)</bold> Vertical sinking flux, with negative values indicating downward
transport. Note the different scales in the different panels.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://bg.copernicus.org/articles/14/3337/2017/bg-14-3337-2017-f08.png"/>

        </fig>

      <p>The intensity of the offshore flux is maximum at the surface and generally
decreases with depth, except for the offshore regions, where a secondary
maximum of zonal offshore transport occurs at around 100 m. Below that
depth, the transport decreases rapidly and tapers off to very low values
below 200 m, with the exception of the first 500 km from the coast. While the
surface maximum of the offshore flux is mainly driven by the intense mean
zonal velocity, the intensification of the flux around 100 m in the offshore
waters is strongly influenced by the pattern of the organic carbon
concentration (Fig. <xref ref-type="fig" rid="Ch1.F7"/>b).</p>
      <p>The lateral meridional flux (Fig. <xref ref-type="fig" rid="Ch1.F8"/>b) shows a complex
alternation of northward and southward fluxes, emerging from the integration
of the meridional transport across a wide meridional band. Even though this
flux is weaker than the zonal flux, this does not imply the absence of
substantial alongshore currents within the domain. In fact, many of these
currents get averaged out by the meridional integration. Despite this, the
intense southward flowing CC is still visible as a negative
signature of the mean meridional flux near the coast. Northward fluxes,
probably linked to an influx from the organic carbon-rich near-equatorial
region, are dominant further offshore.</p>
      <p>The vertical advective and mixing (eddy-diffusive) fluxes
(Fig. <xref ref-type="fig" rid="Ch1.F8"/>c) are overall much weaker than the vertical sinking
flux (Fig. <xref ref-type="fig" rid="Ch1.F8"/>d). The latter, as expected from the fact that we
employ constant sinking speeds, has a pattern that directly reflects that of
the organic carbon concentration (Fig. <xref ref-type="fig" rid="Ch1.F7"/>b). In contrast, the
fact that the vertical advective and mixing fluxes depend on the mean
circulation results in a more complex pattern. These fluxes are positive both
near the coast in response to the strong upwelling and in the upper first
tens of meters where the vertical mixing redistributes the organic carbon
against its vertical gradient. Below this shallow layer, subduction and
downward mixing are dominant and contribute to the export of organic carbon
to depth.</p>
      <p>Reflecting the relative contribution of the different pools to the total
organic carbon, the fluxes below the first 200 m as well as the vertical
sinking flux are dominated by the contribution of the large detritus that
reaches deep into the water column, declining in concentration in the offshore
direction. In the first 200 m, abundant small detritus, phytoplankton, and to
a smaller extent zooplankton shape the organic carbon fluxes up to the
farthest boundary of the analysis domain.</p>
</sec>
<sec id="Ch1.S4.SS3">
  <title>The organic carbon budget</title>
      <p>The annual mean budget of organic carbon for the upper waters of the whole
CanUS highlights the key contribution of the offshore flux to the enhancement
of the organic carbon pool and the maintenance of the heterotrophic activity
in the open waters (Figs. <xref ref-type="fig" rid="Ch1.F9"/>a and <xref ref-type="fig" rid="Ch1.F10"/>a). In the
upper 100 m, corresponding roughly to the euphotic layer, the offshore flux
is the dominant lateral flux at all distances, with a magnitude that always
exceeds 10 % of the integrated NCP within the box
(Fig. <xref ref-type="fig" rid="Ch1.F9"/>a). More specifically, at 100 km from the coast the
offshore flux of organic carbon transports as much as 1.6 Tmol C yr<inline-formula><mml:math id="M71" 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>
(18.7 Tg C yr<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>), a quantity that amounts to more than a third of the
integrated NCP in the 0–100 km range, i.e., the first coastal box, and to
18 % of the NPP, NPP<inline-formula><mml:math id="M73" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">100</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mtext>km</mml:mtext></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">8.6</mml:mn></mml:mrow></mml:math></inline-formula> Tmol C yr<inline-formula><mml:math id="M74" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>.</p>
      <p>A good measure for the magnitude and impact of the lateral redistribution of
organic carbon is the difference between the organic carbon that is produced
locally through NCP and the amount of organic carbon that is exported
vertically out of the euphotic zone (here 100 m). In the absence of any
lateral redistribution, this difference, termed excess export, i.e., <inline-formula><mml:math id="M75" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>E</mml:mi></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M76" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> Vertical Export <inline-formula><mml:math id="M77" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula> NCP is zero, while in the case of a strong
lateral export of the organic matter, <inline-formula><mml:math id="M78" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>E</mml:mi></mml:mrow></mml:math></inline-formula> is negative since less
carbon is available for the vertical export at depth. Conversely, if a
particular region imports a large amount of organic carbon through
lateral transport and then exports this carbon to depth, then the excess
export <inline-formula><mml:math id="M79" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>E</mml:mi></mml:mrow></mml:math></inline-formula> is positive.</p>
      <p>The analysis of <inline-formula><mml:math id="M80" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>E</mml:mi></mml:mrow></mml:math></inline-formula> as a function of offshore distance reveals that
all regions have a positive <inline-formula><mml:math id="M81" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>E</mml:mi></mml:mrow></mml:math></inline-formula>, with the exception of the nearshore
one, whose <inline-formula><mml:math id="M82" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>E</mml:mi></mml:mrow></mml:math></inline-formula> is instead negative (Fig. <xref ref-type="fig" rid="Ch1.F9"/>a). Thus,
this supports the notion that the net heterotrophic activity over the whole
water column in the offshore direction is fueled by a strong net growth in
the very nearshore region of the CanUS. The magnitude of the excess export at
depth <inline-formula><mml:math id="M83" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>E</mml:mi></mml:mrow></mml:math></inline-formula> ranges between 41 % of NCP in the 100 to 500 km range
and 13 % of NCP in the most distant region (Fig. <xref ref-type="fig" rid="Ch1.F10"/>a,
orange solid line), accounting for hundreds to thousands of gigamoles of organic
carbon per year. This excess export of organic carbon below 100 m is
explained by the divergence of the lateral fluxes. In particular, the
divergence of the offshore flux (Fig. <xref ref-type="fig" rid="Ch1.F10"/>a, purple solid line)
releases an amount of organic carbon that constitutes between
8 and 34 % of the local NCP in each region, with the highest value in the 100 to 500 km
offshore range, and this explains the organic carbon accumulation from 62 to
80 % of the excess export at depth in the first 1500 km offshore. In the
most distant analysis region (1500 to 2000 km range) the offshore flux
divergence drops, resulting in a significant export of organic carbon through
the 2000 km offshore boundary and little accumulation; this flux may impact
the biological activity even farther in the North Atlantic Gyre.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9" specific-use="star"><caption><p>Annual mean organic carbon budget for CanUS as a whole in units of
Gmol C yr<inline-formula><mml:math id="M84" 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 <bold>(a)</bold> the top 100 m and <bold>(b)</bold> for the
100–200 m depth range. The lateral extension of the budget analysis boxes
is shown in Fig. <xref ref-type="fig" rid="Ch1.F3"/>b. The African coast is located on the right
edge of the <inline-formula><mml:math id="M85" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula> axis, with the offshore distance indicated at the bottom.
Numbers inside the boxes represent the net biological flux in the volume
(integrated NCP). The arrows between boxes represent physical fluxes, with the
dimension of the arrows being scaled according to the magnitude of the
fluxes. Lateral fluxes are advective. Vertical fluxes are divided into two components: straight arrows represent the sum of the advective, mixing and sinking fluxes between boxes; bent arrows represent the sinking fluxes towards the sediments. The symbol <inline-formula><mml:math id="M86" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>E</mml:mi></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M87" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> Vertical Export <inline-formula><mml:math id="M88" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula> NCP in <bold>(a)</bold> is a measure of the excess
vertical export in each box, with <inline-formula><mml:math id="M89" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>E</mml:mi><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">0</mml:mn></mml:mrow></mml:math></inline-formula> indicating that the vertical
export exceeds local NCP. The orange percentages in <bold>(b)</bold> represent
the fraction of non-respired influx from above that is exported offshore.</p></caption>
          <?xmltex \igopts{width=455.244094pt}?><graphic xlink:href="https://bg.copernicus.org/articles/14/3337/2017/bg-14-3337-2017-f09.png"/>

        </fig>

      <p>The alongshore lateral fluxes also positively contribute to the total budget,
with a net influx of organic carbon in the euphotic layer
(Fig. <xref ref-type="fig" rid="Ch1.F9"/>a, blue solid line). However, the divergence of the
alongshore flux exceeds 10 % of the local NCP only in the most distant
analysis region and represents therefore a minor contribution to the excess
export at depth.</p>
      <p>The fate of the vertically exported carbon in the very biologically active
100–200 m depth layer is still strongly influenced by the offshore
transport (Fig. <xref ref-type="fig" rid="Ch1.F9"/>b), except for the nearshore, where the
upwelling cell recirculates the organic carbon onshore. The offshore flux
intensifies away from the coast, reaching its maximum at 1500 km
from the coast, where its intensity becomes comparable to that of
the top 100 m. Given the negative contribution of NCP to the organic carbon
budget in this layer, the magnitude and divergence of the offshore flux at
this depth can be compared to the non-respired influx of organic carbon,
i.e., the amount of incoming carbon that is available in each box after
remineralization. The main sources of organic carbon at these depths are the
incoming vertical flux from the euphotic layer and to a very small extent the
divergence of the lateral alongshore flux (dotted yellow and blue
lines, respectively, in Fig. <xref ref-type="fig" rid="Ch1.F10"/>b). Therefore, the non-respired influx
is defined as the sum of the incoming vertical flux, the divergence of the
alongshore flux, and the negative NCP.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F10" specific-use="star"><caption><p>Main flux trends in the CanUS as a function of offshore distance for
<bold>(a)</bold> the top 100 m and <bold>(b)</bold> for the 100 to 200 m depth
range. In both panels dotted lines refer to the left <inline-formula><mml:math id="M90" display="inline"><mml:mi>y</mml:mi></mml:math></inline-formula> axis, and solid lines
refer to the right <inline-formula><mml:math id="M91" display="inline"><mml:mi>y</mml:mi></mml:math></inline-formula> axis. Quantities represented by solid lines are
expressed as the percentage of the significant carbon source for the layer: NCP for the top 100 m in <bold>(a)</bold>, and the non-respired
influx of carbon for the 100–200 m depth layer in <bold>(b)</bold>. <inline-formula><mml:math id="M92" display="inline"><mml:mi mathvariant="normal">Δ</mml:mi></mml:math></inline-formula>
fluxes represent the divergence of the fluxes, the net amount of carbon
accumulated or removed by the flux in each box. All net fluxes are binned at
the center of the box of reference (e.g., fluxes in the 0–100 km region are
binned to 50 km offshore), except for the offshore flux in <bold>(b)</bold>,
which refers to the boundaries of the boxes. Note that in <bold>(a)</bold>, the
vertical export is a negative flux and that the dotted yellow line refers to
its magnitude, and that <inline-formula><mml:math id="M93" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>E</mml:mi></mml:mrow></mml:math></inline-formula> is the excess vertical export as in
Fig. <xref ref-type="fig" rid="Ch1.F9"/>a). In <bold>(b)</bold>, the non-respired influx is computed
by summing the vertical influx, the alongshore flux, and NCP.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://bg.copernicus.org/articles/14/3337/2017/bg-14-3337-2017-f10.png"/>

        </fig>

      <p>If we compare the offshore flux at the boundary of the boxes to the
non-respired influx in each box, we see that the offshore flux moves a
substantial amount of the organic carbon available, reaching 26 % at
2000 km distance from the shore (solid purple line with circles of
Fig. <xref ref-type="fig" rid="Ch1.F10"/>b). At the same time, due to its intensification in
the direction of the open sea, the offshore flux does not release carbon in
the boxes, as confirmed by its negative divergence up to 1500 km offshore
(solid purple line with stars in Fig. <xref ref-type="fig" rid="Ch1.F10"/>b and
percentages in orange in Fig. <xref ref-type="fig" rid="Ch1.F9"/>b), but the offshore flux traps carbon and
transports it even farther toward the open waters. The 100–200 m depth
layer of the CanUS is therefore still characterized by a significant offshore
transport that moves the organic carbon towards the oligotrophic center of
the North Atlantic Gyre, furthering water column heterotrophy there.</p>
      <p>As the offshore fluxes are small below 200 m (Fig. <xref ref-type="fig" rid="Ch1.F8"/>a), we
omitted them from the plot. In fact, the maximum contribution to the total
offshore transport of the water column below 200 m, accounting for a few
kilometers of depth, is 12 %, reached at 500 km from the
shore. This fraction quickly declines offshore to a minimum of only 0.4 %
at 2000 km from the shore. Thus, the vast majority of the
transport occurs in the top 200 m of the water column in our model.</p>
</sec>
<sec id="Ch1.S4.SS4">
  <title>Subregional variability in the organic carbon fluxes</title>
      <p>Substantial meridional differences in both biological activity and
circulation characterize the CanUS and influence the pattern of vertically
integrated NCP (see Fig. <xref ref-type="fig" rid="Ch1.F6"/>) and the implied lateral organic
carbon fluxes. In the euphotic layer the pattern of production changes with
latitude transitioning from a sharp offshore NCP gradient in the northern
CanUS to a wide offshore extent of high NCP in the southern CanUS. These
gradients can be explained by the pattern of the nutrient fluxes (see
Appendix B, Fig. <xref ref-type="fig" rid="App1.Ch1.F7"/>). In the northern CanUS, nutrients are in
fact mostly provided by coastal upwelling, while the positive signature of
the wind stress curl in the southern CanUS favors Ekman pumping of nutrients
also offshore (Fig. <xref ref-type="fig" rid="App1.Ch1.F7"/>c). Intense production in the surroundings
of Cape Blanc is likely due to the convergence of the alongshore nutrient
fluxes (Fig. <xref ref-type="fig" rid="App1.Ch1.F7"/>b), in agreement with <xref ref-type="bibr" rid="bib1.bibx9" id="text.64"/> and
<xref ref-type="bibr" rid="bib1.bibx68" id="text.65"/>.</p>
      <p>Below 100 m, the northern CanUS is characterized by a weak offshore gradient
of deep respiration, which, combined with a sharp offshore gradient of
production in the layer above, results in an extended net water column
heterotrophy in the open waters. In contrast, the southern CanUS is
characterized by a widespread vertical correspondence between shallow sources
and deep sinks of organic carbon that result in a vertically integrated NCP
of nearly zero (<inline-formula><mml:math id="M94" display="inline"><mml:mo>∫</mml:mo></mml:math></inline-formula>NCP <inline-formula><mml:math id="M95" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0), with negative values of <inline-formula><mml:math id="M96" display="inline"><mml:mo>∫</mml:mo></mml:math></inline-formula>NCP
confined only between the African shelf and the Cabo Verde archipelago.
Between these two zonal bands with distinct <inline-formula><mml:math id="M97" display="inline"><mml:mo>∫</mml:mo></mml:math></inline-formula>NCP signatures, the central
CanUS located in the surroundings of Cape Blanc (21<inline-formula><mml:math id="M98" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N) and the
whole Cabo Verde frontal zone are hot spots for the respiration of the
organic carbon. Here, the region of deep intense remineralization extends
farther offshore than the area of intense near-surface productivity,
resulting in a vast peak of negative <inline-formula><mml:math id="M99" display="inline"><mml:mo>∫</mml:mo></mml:math></inline-formula>NCP that reaches far into the
North Atlantic Gyre. To identify what processes drive the organic carbon
redistribution that gives rise to these <inline-formula><mml:math id="M100" display="inline"><mml:mo>∫</mml:mo></mml:math></inline-formula>NCP gradients and quantifies the
contribution of the different zonal bands to the total transport, we analyze the spatial patterns of the physical fluxes of organic carbon in detail.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F11" specific-use="star"><caption><p>Maps of the organic carbon flux components in the top 100 m
corresponding to the euphotic layer in the CanUS. <bold>(a)</bold> Zonal flux
vertically integrated over the top 100 m, with positive values indicating
eastward (onshore) transport; <bold>(b)</bold> as in <bold>(a)</bold> but for the
meridional flux, with positive values indicating northward transport;
<bold>(c)</bold> vertical advective flux across 100 m, with positive values
indicating upward transport; <bold>(d)</bold> as in <bold>(c)</bold> but for vertical
mixing. Plotted vertical components were smoothed with a <inline-formula><mml:math id="M101" display="inline"><mml:mrow><mml:mn mathvariant="normal">7</mml:mn><mml:mo>×</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:math></inline-formula> grid
point two-dimensional filter.</p></caption>
          <?xmltex \igopts{width=312.980315pt}?><graphic xlink:href="https://bg.copernicus.org/articles/14/3337/2017/bg-14-3337-2017-f11.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F12" specific-use="star"><caption><p>Trends of NCP and impact of the organic carbon fluxes by subregion
and offshore distance in the top 100 m as a function of offshore distance.
<bold>(a)</bold> NCP (Gmol C yr<inline-formula><mml:math id="M102" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>); <bold>(b)</bold> divergence of the
offshore transport as a percentage of NCP; <bold>(c)</bold> divergence of the alongshore
transport as a percentage of NCP; <bold>(d)</bold> export below 100 m by advection and
mixing as a percentage of NCP; <bold>(d)</bold> export below 100 m by sinking as a percentage of
NCP. Fluxes in the plots are binned at the center of the box of reference
(e.g., fluxes referring to the 0–100 km box are binned to 50 km offshore
on the <inline-formula><mml:math id="M103" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula> axis).</p></caption>
          <?xmltex \igopts{width=312.980315pt}?><graphic xlink:href="https://bg.copernicus.org/articles/14/3337/2017/bg-14-3337-2017-f12.png"/>

        </fig>

      <p>Subregional differences in the organic carbon transport are visible in all of
the components of the physical fluxes (Fig. <xref ref-type="fig" rid="Ch1.F11"/>). Both zonal
and meridional fluxes integrated over the top 100 m are clearly influenced
by the regional pattern of currents (see also Fig. <xref ref-type="fig" rid="Ch1.F3"/>b) and
change sign in the proximity of the Cabo Verde frontal zone, the crucial
boundary between the northern anticyclonic and the southern cyclonic
circulation. North of the Cabo Verde front, the zonal flux is mostly offshore
and intensifies towards Cape Blanc likely due to both the intense
coastal mesoscale activity that culminates at 21<inline-formula><mml:math id="M104" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N with the giant
Cape Blanc filament and due to the formation of the Cabo Verde front
<xref ref-type="bibr" rid="bib1.bibx8" id="paren.66"/>. South of Cape Blanc, ocean striations appear in the
form of alternate onshore and offshore flux bands. The meridional transport
converges around Cape Blanc, again with a sharp inversion of sign that
reflects the direction of flow of the CC and the MC.</p>
      <p>The 100 m horizontal section of the vertical advective transport of organic
carbon reflects the signature of the wind stress curl that is negative north
of the Cabo Verde front and positive to the south. As a consequence, the
highest values of advective export at depth are found in the northern regions
of low offshore production, while vertical advective export of organic carbon
is not favored in the very productive southern subregion. As for the offshore
transport, the vertical advective export in the northern CanUS sector
and in the Cabo Verde frontal zone is also likely enhanced in the first few
hundreds of kilometers by the abundant coastal filaments that quickly channel
and advect down the coastally produced organic carbon. The vertical mixing
fluxes of organic carbon across 100 m show that this component is important
only in the northern subregion characterized by a much deeper MLD and
declines offshore with the decrease in the organic carbon concentration.
Sinking fluxes through the 100 m depth are not shown as their pattern is
mostly proportional to the 100 m integrated NCP (Fig. <xref ref-type="fig" rid="Ch1.F6"/>b) with
high export in regions of high production and do not add substantial
complexity to the discussion. However, it is worth remarking that their
intensity is about 1 order of magnitude higher than that of the vertical
advective and vertical mixing fluxes, reaching very intense peaks
(<inline-formula><mml:math id="M105" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M106" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>40 mol C m<inline-formula><mml:math id="M107" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> day<inline-formula><mml:math id="M108" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) in the surroundings of the most
productive region of Cape Blanc and high values of about
<inline-formula><mml:math id="M109" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>10 mol C m<inline-formula><mml:math id="M110" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> day<inline-formula><mml:math id="M111" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in the Mauritanian–Senegalese subregion.
The southern sector of the CanUS is therefore dominated by intense sinking
fluxes of organic carbon, while both non-sinking vertical components of the
export have a very limited role in the organic carbon export in the region
south of Cape Blanc.</p>
      <p>The analysis of the spatial pattern of the organic carbon fluxes also takes
into account
the special role of the central zonal band located between the Canary
Islands archipelago and the Cabo Verde islands, characterized by the most intense
biological and physical fluxes. This central zonal band is characterized by
the strongest heterotrophic activity offshore, a persistent and intense
offshore transport, a convergence of the lateral alongshore fluxes in the
shelf, strong vertical advective export at depth, intense vertical mixing, and
a peak of the sinking flux. To highlight how differently the physical fluxes
impact the organic carbon budget at different latitudes and to study the
interaction between significant zonal bands in the CanUS, we divided the
region into southern, central, and northern subregions (defined as in
Fig. <xref ref-type="fig" rid="Ch1.F3"/>b) and carried out a subregional box budget analysis.</p>
      <p>Among the CanUS subregions, the southern subregion (pink line in
Fig. <xref ref-type="fig" rid="Ch1.F12"/>) is characterized by very high levels of NCP in the
euphotic layer also in the open waters (Fig. <xref ref-type="fig" rid="Ch1.F12"/>a), accompanied
by a relatively low impact of the physical fluxes of carbon on the local
budget. In fact, despite both the offshore transport and the vertical
advective <inline-formula><mml:math id="M112" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> mixing export below 100 m having high intensities in absolute
terms, their divergences are low when compared to the high values of NCP in
each box and therefore they do not have a substantial impact on biology
(Fig. <xref ref-type="fig" rid="Ch1.F12"/>b and d). On the one side, the little accumulation of
organic carbon due to the offshore flux explains the large portion of
biologically neutral water column in this region (<inline-formula><mml:math id="M113" display="inline"><mml:mo>∫</mml:mo></mml:math></inline-formula>NCP <inline-formula><mml:math id="M114" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0, see
Fig. <xref ref-type="fig" rid="Ch1.F6"/>a). On the other side, even though the sinking fluxes
(Fig. <xref ref-type="fig" rid="Ch1.F12"/>e) still export substantial amounts of carbon in this
subregion, the low efficiency of the advective <inline-formula><mml:math id="M115" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> mixing export points to
a potentially limited capacity of this subregion to export dissolved
and suspended material at depth (not modeled in our study). The comparatively higher
impact of the alongshore flux is explained by the strong coupling of the
southern subregion with the equatorial carbon-rich area that allows a net
influx of organic carbon through the southern boundary.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F13" specific-use="star"><caption><p>Vertical sections of the organic carbon offshore
flux <bold>(a)</bold> and vertical advective <inline-formula><mml:math id="M116" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> mixing flux <bold>(b)</bold>,
averaged meridionally along lines of equal distance from the coast in each
subregion in accordance with the zonal bands defined by the budget analysis
boxes. In all the plots the horizontal <inline-formula><mml:math id="M117" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula> axis represents the distance from
the coast (km); the vertical <inline-formula><mml:math id="M118" display="inline"><mml:mi>y</mml:mi></mml:math></inline-formula> axis represents the depth (m).
Subplot <bold>(a)</bold> zonal flux: positive means eastward (onshore); subplot
<bold>(b)</bold> vertical advective <inline-formula><mml:math id="M119" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> mixing (eddy-diffusive) flux: positive
means upward.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://bg.copernicus.org/articles/14/3337/2017/bg-14-3337-2017-f13.png"/>

        </fig>

      <p>The impact of the lateral offshore transport in the northern subregion (blue
line in Fig. <xref ref-type="fig" rid="Ch1.F12"/>) is particularly high in the first 500 km
offshore (Fig. <xref ref-type="fig" rid="Ch1.F12"/>b). This is the result of a combination of
both strong export fluxes on the shelf and the fast decline of NCP in the
offshore direction, with a consequently high ratio of the offshore flux
divergence to NCP and an important influence of the flux on the local budget.
The intense mesoscale activity in this northern subregion, especially in the
form of persistent filaments that detach from the coast and quickly channel
water and tracers offshore typically for some hundreds of kilometers, has an important
role in this intense nearshore export. The northern subregion is also the
most efficient in the combined vertical advective and mixing export up to
1000 km offshore as a consequence of the deep MLD and the abundant mesoscale
coastal filaments, with a consequently high capacity to export light organic
carbon species below the euphotic layer. However, both the lateral and the
vertical export efficiency decline quickly offshore in the northern
subregion. This decline is likely due to the low organic carbon concentration
of the offshore waters, to the limited offshore extension of the filaments,
and to the incoming flux of the Azores Current counteracting the offshore
transport at the northern edge of the domain.</p>
      <p>As anticipated, the most active area in terms of the organic carbon transport
and export is the central CanUS subregion (green line in
Fig. <xref ref-type="fig" rid="Ch1.F12"/>), which includes the Cabo Verde frontal zone. The
central subregion collects the lateral alongshore fluxes from the northern
and southern subregions in the nearshore area, with a net increase of the
carbon availability in the first coastal box (0–100 km range) of more than
one-third of the local NCP (Fig. <xref ref-type="fig" rid="Ch1.F12"/>c). The southward-flowing
CC and northward-flowing MC that converge in
this zonal band are the main contributors to this organic carbon influx on
the coast around Cape Blanc. The carbon collected on the shelf is likely
exported offshore together with the locally produced carbon by a very intense
zonal flux also characterized by a large divergence that exceeds the values
of the northern subregion in the offshore waters (Fig. <xref ref-type="fig" rid="Ch1.F12"/>b).
The carbon accumulation due to the divergence of the offshore transport over
the central zonal band is on average as high as 57 % of the local NCP,
reaching peaks of more than 70 % of NCP in the 500–1500 km range and
still accounting for 37 % of NCP in the farthest offshore box
(1500–2000 km range). Both the mean circulation characterized by the
westward-flowing currents along the Cabo Verde front and the mesoscale
activity in the form of the giant Cape Blanc filament are expected to
contribute to this intense offshore transport. As a consequence of this
increased carbon availability, the central subregion allows very high values
of the total vertical export of carbon below the euphotic layer
(advective <inline-formula><mml:math id="M120" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> mixing <inline-formula><mml:math id="M121" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> sinking transport), which almost doubles the
local production. Among these vertical components, the advective <inline-formula><mml:math id="M122" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> mixing
vertical export becomes particularly important in the offshore waters. The
alongshore convergence of the organic carbon on the shelf and the high
lateral mobility of the organic carbon in the offshore direction of the
central subregion not only explain the peak of net water column heterotrophy
in the offshore waters around Cape Blanc (see Fig. <xref ref-type="fig" rid="Ch1.F6"/>a) but they
also characterize the Cabo Verde frontal zone as a key region of the CanUS for the
collection and export of the coastally produced organic carbon far into the
North Atlantic Gyre.</p>
      <p>Further insights into the zonal differences of the organic carbon transport
below the euphotic layer are given by the zonally averaged mean vertical
profiles of the offshore and vertical advective+mixing fluxes for each
subregion (Fig. <xref ref-type="fig" rid="Ch1.F13"/>). The southern subregion is confirmed
to be the least efficient in the offshore transport and vertical
advective <inline-formula><mml:math id="M123" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> mixing export also at depth, despite an intensification of
the offshore flux below the surface in the farthest region of analysis. This
offshore intensification is however probably connected to the intersection of
our southern zonal band with the Cabo Verde frontal region, which crosses the
northern boundary of this subregion at about 1000 km offshore. The vertical
advective <inline-formula><mml:math id="M124" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> mixing export in the southern subregion is also remarkably
different from the other subregions: not only the shallow MLD limits vertical
mixing but the positive signature of the wind stress curl also favors upwelling in
this subregion. The mean vertical profiles of the zonal flux for the northern
subregion clearly shows a weak
onshore flux in the offshore waters below the surface that confirms the important influence of the incoming Azores
Current in the limitation of the offshore transport away from the coast. The
deep extension of both the offshore flux and of the vertical advective+mixing
downwelling in the first few kilometers from the coast of the northern
subregion again suggests the link with the recurrent coastal filaments that
characterize this sector of the CanUS and are known to enhance the fluxes
through a depth of several hundreds of meters <xref ref-type="bibr" rid="bib1.bibx8" id="paren.67"/>. The
central subregion also presents the most intense and persistent
offshore flux at depth that reaches 2000 km from the coast in the whole first 200 m
layer, showing the important role of this subregion in the offshore
redistribution of the organic carbon. Both offshore and
advective <inline-formula><mml:math id="M125" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> mixing fluxes extend particularly deep into the water column
in the first several hundreds of kilometers from the coast in the central
subregion, likely due to both the intense mean circulation and the powerful
giant Cape Blanc filament renowned for its remarkable offshore extension
<xref ref-type="bibr" rid="bib1.bibx34 bib1.bibx31" id="paren.68"/>. In both the northern and central subregions
the offshore gradient of the zonal flux is the cause of the important
accumulation of organic carbon that allows an enhanced respiration at depth.</p>
      <p>The results of our subregional analysis show how physical forcing and mean and
mesoscale circulation drive the lateral and vertical redistribution of the
organic carbon in the CanUS, giving rise to a persistent offshore transport
of organic carbon that shapes the <inline-formula><mml:math id="M126" display="inline"><mml:mo>∫</mml:mo></mml:math></inline-formula>NCP pattern and can reach as far as
2000 km into the North Atlantic Gyre. Further insights into the special role
of mesoscale activity in the lateral redistribution of organic carbon in the
CanUS and a quantification of this component of the transport will be
provided in detail in a dedicated publication.</p>
</sec>
</sec>
<sec id="Ch1.S5">
  <title>Discussion</title>
<sec id="Ch1.S5.SS1">
  <title>Implications and comparison with previous work</title>
      <p>Our results highlight the importance of the lateral transport of organic
carbon from coastal regions of intense production to the oligotrophic open
waters and its key role in fueling the offshore heterotrophic activity. We
thus confirm the predictions of several in situ observations and estimates
from multiple independent local surveys <xref ref-type="bibr" rid="bib1.bibx8 bib1.bibx72" id="paren.69"/>.
Our modeled fraction of the coastal production of organic carbon that is
transported offshore beyond 100 km amounts to 18 % of NPP (36 % of
NCP) and lies in the range of previous estimates <xref ref-type="bibr" rid="bib1.bibx25" id="paren.70"/>. Our
results also reveal that the offshore transport extends far into the open
waters, having important consequences for biological activity: even at
offshore distances of 1500 km and more, the additional carbon supplied by
the offshore transport can still be as much as 37 % of the local NCP. The offshore transport is particularly relevant below
the euphotic layer, especially in the 100 to 200 m layer, where the lateral
transport of the organic carbon can extend even farther into the North
Atlantic Gyre, i.e., beyond 2000 km offshore.</p>
      <p>This long-range offshore transport of organic matter involves two possible,
not mutually exclusive, pathways. In the first direct pathway, the
offshore transport is sustained entirely by the excess organic carbon
produced on the African shelf, which then gets advected offshore without the
addition of new, i.e., locally formed, organic carbon along the way. In
the second recycling pathway, the offshore flux of organic carbon is
sustained by the production of organic carbon that occurs along the way to
the open sea: new and regenerated production replaces the incoming organic
carbon that gets remineralized and sinks to depth, creating a continuous
recycling loop of the organic carbon that is advected offshore. The nutrients
required to fuel this production stem from both the upwelling along the coast
and subsequent offshore transport (leading to new production) and from the
local remineralization of the incoming organic matter (leading to regenerated
production). In contrast, the vertical pumping of the nutrients from the
deeper waters is thought to be a comparatively minor contribution, with the
exception of the southern CanUS, where the wind stress curl is positive,
leading to upwelling. A simple analysis of the residence times of the modeled
organic carbon pools favors a dominance of the second recycling pathway.
In fact, a small detritus particle resides, on average, only about 200 days
in the top 200 m depth layer due to its sinking speed, if we disregard
downwelling and other loss terms such as remineralization. Given typical
lateral transport velocities of less than 0.05 m s<inline-formula><mml:math id="M127" 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> when averaged
over the top 200 m, this particle would be able to travel only about 800 km
offshore at best. This distance is only 80 km for large detritus and
1600 km in the case of phytoplankton. With the zooplankton not sinking in
our model, this pool could travel farther, but its contribution to the
offshore fluxes is very modest compared to those of phytoplankton and of the
abundant small detritus. If we further include the loss terms (coagulation
and remineralization) of these organic carbon pools, which substantially
reduce their lifetimes in the upper 200 m, it is highly unlikely for any
coastally produced organic carbon to reach as far as 2000 km from the coast.
Furthermore, the inorganic nutrient fluxes (see Appendix B,
Fig. <xref ref-type="fig" rid="App1.Ch1.F7"/>) are of sufficient magnitude to refuel new growth of
organic matter to replace that part that is lost by sinking. Further analyses
including Lagrangian experiments are necessary to gain a quantitative
understanding of the succession of transformations happening along the way to
the open waters, but it is clear that the most likely scenario is one where
the organic carbon pool is recycled several times over along its many-months-long journey from the coast to the offshore.</p>
      <p>The meridional alongshore transport also contributes to the redistribution of
the organic carbon, especially on the shelf, where the alongshore coastal
currents are the strongest. In line with the results of <xref ref-type="bibr" rid="bib1.bibx9" id="text.71"/> and
<xref ref-type="bibr" rid="bib1.bibx68" id="text.72"/>, we find that the area around Cape Blanc, corresponding to
the region of convergence of the coastal flows and formation of the Cabo
Verde frontal zone, is a key region of the CanUS. The relevance of the
central Cabo Verde frontal zone in the CanUS was discussed in
<xref ref-type="bibr" rid="bib1.bibx9" id="text.73"/> and <xref ref-type="bibr" rid="bib1.bibx68" id="text.74"/> in terms of chlorophyll and nutrient
convergence on the shelf and of their subsequent offshore advection, visible
as a persistent bloom in the region offshore of Cape Blanc. Here we confirm
and strengthen these results, affirming that this sector of the CanUS has a
central role in the collection and subsequent transport offshore of the
organic carbon produced over wide areas of the shelf. This offshore flux of
carbon against the gradient of productivity extends far away from the coast
and feeds the heterotrophic activity of the deep open waters for at least
2000 km offshore, generating a long tail of net heterotrophy. Deep offshore
transport and subduction in this region are likely enhanced by the persistent
Cape Blanc filament, which is known from local surveys for being able to
transport an estimated 50 % of the coastally produced carbon both in the
surface and at depth, extending several hundreds of kilometers offshore
<xref ref-type="bibr" rid="bib1.bibx34 bib1.bibx67" id="paren.75"/>.</p>
      <p>The partition of the CanUS into a northern anticyclonic and a southern
cyclonic circulation regime and the differences in mesoscale activity and
wind stress curl <xref ref-type="bibr" rid="bib1.bibx8" id="paren.76"/> are well reflected by the differences
in the transport and cycling of the organic carbon north and south of the
Cabo Verde frontal zone. The portion of CanUS located north of the Cabo Verde
front can be regarded as the very eastern edge of the North Atlantic Gyre
<xref ref-type="bibr" rid="bib1.bibx72" id="paren.77"/>. Several studies highlight the way in which the abundant
coastal filaments of this northern CanUS sector substantially enhance the
offshore transport and the downwelling of organic carbon in the first
hundreds of kilometers from the coast
<xref ref-type="bibr" rid="bib1.bibx4 bib1.bibx34 bib1.bibx31 bib1.bibx36 bib1.bibx67" id="paren.78"/>. These
structures together with a strong mean offshore flow explain the intense
zonal transport and the vertical downwelling in the shelf region of the
northern CanUS and the sharp decline of these two fluxes in the open waters.
The range of influence of the offshore transport in this zonal band is
further enhanced by the eddies spun off by the filaments <xref ref-type="bibr" rid="bib1.bibx11" id="paren.79"/>,
while the negative signature of the wind stress curl maintains the vertical
downwelling in the offshore. The strength of the vertical transport by
downwelling and mixing suggests that the northern subregion is potentially
efficient in exporting the dissolved, suspended, and slowly settling
material to depth, i.e., the organic carbon species that are difficult if not
impossible to measure with sediment traps, but may still constitute a key
component for the closure of the organic carbon budget at depth
<xref ref-type="bibr" rid="bib1.bibx47 bib1.bibx2" id="paren.80"/>.</p>
      <p>The portion of CanUS located south of the Cabo Verde front is instead mostly
coupled to the southern equatorial circulation and to a small extent to the
North Atlantic Gyre. Here, the net water column biological activity shows a
dominantly neutral water column and little water column heterotrophy, the
latter mostly confined to a region between the African coast and the Cabo
Verde archipelago. The intense near-surface production, the much smaller
offshore gradient in productivity <xref ref-type="bibr" rid="bib1.bibx66" id="paren.81"/>, and to some extent the
transitory nature of the filaments that form on the shelf at these latitudes
<xref ref-type="bibr" rid="bib1.bibx8" id="paren.82"/> result in a small impact of the organic carbon lateral
fluxes. Sinking dominates the vertical export at these latitudes, while
mixing and vertical advection are impeded by a shallow MLD and the positive
wind stress curl leading to upwelling.</p>
      <p>Overall, in a large part of the CanUS the lateral redistribution of organic
carbon from the shelf to the open waters results in a very substantial
lateral decoupling of the region of remineralization from the region of
production. This contrasts sharply with the representation of the organic
carbon pump as a pure vertical process and highlights the fundamental
importance of the lateral transport of organic carbon for the maintenance of
the biological activity.</p>
      <p>However, despite the very large lateral input of organic carbon in the upper
100 m across much of the offshore region of the CanUS, our model does not
show evidence for net heterotrophic conditions in the near-surface waters of
these regions. Thus, the shallow open sea is a net source of
organic carbon everywhere for the deeper layers. This is the case irrespective of
whether the vertical integration is performed over the mean euphotic layer
depth (100 m), over the local euphotic layer depth, or over the local MLD
(generally shallower than the euphotic layer). Thus, our model provides
strong support for the net autotrophic surface ocean hypothesis
<xref ref-type="bibr" rid="bib1.bibx90" id="paren.83"/>. The spatial pattern of modeled near-surface autotrophy
(Fig. <xref ref-type="fig" rid="Ch1.F6"/>b) agrees with the calculated global distribution of NCP
<xref ref-type="bibr" rid="bib1.bibx90" id="normal.84"><named-content content-type="post">Fig. 1</named-content></xref> once the net heterotrophic regions are
substituted for by weakly autotrophic low-productivity waters. The depth at which
vertically integrated sinks and sources from top to bottom compensate for each
other in the model is located at more than 200 m depth and
can be deeper than 1000 m almost everywhere in regions of nearly neutral water column,
confirming the importance of the respiration in deep waters
<xref ref-type="bibr" rid="bib1.bibx23" id="paren.85"/>.</p>
      <p>Both the mean Ekman transport and the turbulent mesoscale activity contribute
to the total lateral fluxes of organic carbon connecting coastal sources to
deep offshore sinks. These two processes also concur in determining the
vertical downwelling and mixing that increase the organic carbon transport to
depth. The magnitude of the relative contribution of these two terms to the
organic carbon fluxes and their different roles in fueling the heterotrophic
activity offshore must be detangled through further analysis.</p>
</sec>
<sec id="Ch1.S5.SS2">
  <title>Limitations and caveats</title>
      <p>We discuss here how our quantification of the offshore transport of organic
carbon may be affected by the shortcomings of our model. The first set of
shortcomings involves our modeling of the organic matter pool, especially our
lack of consideration of an explicitly modeled DOC pool and the
representation of POC at depth. The second set of shortcomings involves a few
biases in our modeled physical and biogeochemical fields. We discuss the
potential impact of these shortcomings in turn.</p>
      <p>Regarding DOC, the pool that matters is that of semi-labile DOC as it has a
lifetime of beyond a few days, implying that it can be transported
substantial distances before it gets remineralized. As a result, it has the
potential to enhance our modeled lateral export of organic carbon. This is
especially the case since DOC is readily produced in the surface ocean and
also contributes substantially to the export of organic matter from the
near-surface ocean <xref ref-type="bibr" rid="bib1.bibx41 bib1.bibx6 bib1.bibx43 bib1.bibx42" id="paren.86"/>, in particular in subtropical regions
such as the North Atlantic Gyre <xref ref-type="bibr" rid="bib1.bibx85 bib1.bibx78" id="paren.87"/>. Even
though DOC is not explicitly modeled, the small detritus, with its sinking
speed of <inline-formula><mml:math id="M128" display="inline"><mml:mrow><mml:msub><mml:mi>w</mml:mi><mml:mtext>SD</mml:mtext></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> m day<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>, essentially represents a suspended
POC pool with some similarity to semi-labile DOC, particularly regarding its
susceptibility to lateral transport. However, differing from DOC, the small
detritus coagulates to large detritus, resulting in a shorter lifetime than
DOC in the surface ocean. At the same time, the rate of production of DOC is
likely smaller than that of the small detritus. Together, this implies that
the small detrital pool likely behaves in a comparable manner to the
semi-labile DOC. Thus, we would argue that the impact of our lack of
consideration of DOC in our model is smaller than possibly inferred at first.</p>
      <p>In order to more quantitatively explore the potential impacts of our lack of
explicit consideration of DOC, we ran a sensitivity study in which we set
the vertical sinking of the small detritus, <inline-formula><mml:math id="M130" display="inline"><mml:mrow><mml:msub><mml:mi>w</mml:mi><mml:mtext>SD</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, to zero and
reduce the coagulation timescale for small detritus to 40 % of its
baseline value. No adjustments were made to the parameterization of the large
detritus. This sensitivity study needs to be considered as an extreme
scenario, i.e., it is meant to explore the potential contribution of DOC
rather than an attempt to quantify it in detail. We spun up the model with
the new biological parameters from year 24 of the baseline run (6 years of
spinup) and used years 30–35 for the analysis, as for the baseline run. The
results show, as expected, an intensification of the lateral fluxes of
organic carbon in the euphotic layer. The standing stock of suspended POC
increases about twofold, largely due to its longer average lifetime in the
surface ocean, stimulating the local recycling of organic matter. This
increases both primary production and heterotrophic activity in the
near-surface layer, leaving the <inline-formula><mml:math id="M131" display="inline"><mml:mo>∫</mml:mo></mml:math></inline-formula>NCP pattern basically unchanged and
preserving the net autotrophy of the near-surface waters. In fact, even
though the lateral transport of small detritus is much larger in this
sensitivity study and reaching farther out into the open North Atlantic, the
net horizontal divergence of the lateral flux remains roughly the same. Thus,
for the key question at hand, i.e., whether the offshore transport can fuel net
heterotrophic conditions in the offshore regions of the CanUS, the answer
essentially remains the same.</p>
      <p>Another potential caveat of our study regards the lateral redistribution of
the organic carbon at depths larger than the first few hundred meters. On
average, our modeled offshore transport below 200 m is very small and never
larger than 12 % of the total transport. However, model limitations in
the representation of the offshore transport below this depth should be
discussed, taking into account three potential and partially contrasting
caveats. First, the model does not include the process of sediment
resuspension, therefore impeding the formation of high-POC-concentration
spikes near the shelves <xref ref-type="bibr" rid="bib1.bibx49 bib1.bibx1" id="paren.88"/> and limiting the
bottom transport along the slopes <xref ref-type="bibr" rid="bib1.bibx50 bib1.bibx48" id="paren.89"/>. Second, and
with a similar effect, the dynamics of our particulate pools only allow the
aggregation of small particles into bigger and heavier ones, while it does
not consider disaggregation of heavy particles into lighter ones as a
consequence of degradation or partial grazing <xref ref-type="bibr" rid="bib1.bibx2" id="paren.90"/>. This
results
in a one-way path to fast sinking that cannot be reversed. Due to these two
factors that preclude the existence of deep local maxima of suspended POC,
our study may underestimate the lateral transport of organic carbon at depth.
Third, sinking velocities in our model are fixed at every depth to moderate
values (maximum of 10 m day<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> for large detritus), while sinking
velocities have been observed to be able to reach relatively high values,
increasing by roughly 1 order of magnitude between the mesopelagic and
bathypelagic regions <xref ref-type="bibr" rid="bib1.bibx32 bib1.bibx13" id="paren.91"/>, with a consequent
fast vertical export at depth of the particles by sinking. Heavy particles at
depths below 1000 m have been shown to have mean sinking velocities of
100–300 m day<inline-formula><mml:math id="M133" 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> <xref ref-type="bibr" rid="bib1.bibx32" id="paren.92"/> and to often be accompanied by
a pool of slow sinking material with mean sinking velocities of 1 to a few
meters per day, resulting in a bimodal distribution of the sinking speeds
<xref ref-type="bibr" rid="bib1.bibx2" id="paren.93"/>.</p>
      <p>Viewing these three caveats together, we have two missing processes that
would cause our model to represent a lower-bound estimate and one process
that would cause the correct offshore transport to be smaller. We cannot
assess the implication of this finding in full, but submit that at least with
regard to the offshore transport in the upper waters, i.e., upper 200 m, our
model is likely in the right range, perhaps on the lower side. We have much
less confidence in the offshore transport below 200 m, where the observed
concentrations of organic carbon can be quite high, although the offshore
velocities are substantially smaller.</p>
      <p>We also need to assess the potential impact of the physical and biogeochemical
biases that we diagnosed in the evaluation section. In the northern CanUS our
model overestimates the MLD depth; however, our modeled MLD has the same
meridional gradient as observed, with an extremely shallow mixed layer in the
region located south of the Cabo Verde front and a deeper mixed layer in the
north. This suggests that, even though we may potentially overestimate
vertical mixing in the northern CanUS, this subregion would still be expected
to be the only one in which this process is relevant. In the southern CanUS,
our model shows a circulation that is weaker than observed and chlorophyll and NPP maximums that are deeper than observed, which may lead to an underestimation of the
lateral transport and therefore of the net heterotrophy of the water column.
Both a shoaling of the biological production towards the surface,
characterized by more intense currents, and an intensification of the
circulation can result in the strengthening of the lateral zonal and
meridional organic carbon fluxes. However, an increase in the offshore zonal
fluxes in the southern subregion could favor a more heterotrophic water
column only if accompanied by an increase in the divergence of the flux,
resulting in a substantial accumulation of organic carbon compared to the
local production. In the meridional direction, an intensification of the
alongshore MC may instead increase the influx of organic
carbon from the south into the Cabo Verde frontal zone, fueling even further
the deep respiration in the already strongly heterotrophic central CanUS.</p>
      <p>To summarize, we believe that the caveats discussed above do not
substantially affect our main findings, while they possibly strengthen our
conclusion regarding the importance and long-range nature of the offshore
transport of organic carbon. In fact our model may, if anything,
underestimate the total lateral transport of organic carbon both at the
surface and at depth. For this reason we believe that it is of fundamental
importance to take into account the three-dimensionality of the marine
organic carbon cycle and the essential role of the productive coastal ocean
in the global biogeochemical cycles.</p>
</sec>
</sec>
<sec id="Ch1.S6" sec-type="conclusions">
  <title>Conclusions</title>
      <p>This paper provides the first comprehensive quantification of the lateral and
vertical fluxes of organic carbon in the Canary Upwelling System up
to 2000 km offshore.</p>
      <p>The long-range lateral fluxes of organic carbon in the euphotic layer
(0–100 m depth) of the CanUS are dominated by the offshore flux that
extends, on average, as far as 1500 km into the North Atlantic Gyre. Along
its way, the offshore flux adds an amount of organic
carbon to the euphotic layer that corresponds to 8–34 % of the alongshore average NCP,
explaining between 62 and 80 % of the excess vertical export, i.e.,
the export below the euphotic layer that exceeds the local production.
This fuels extra heterotrophic activity at depth. In the 100 to 200 m layer,
the offshore transport of organic carbon continues to dominate the lateral
fluxes, intensifying away from the coast, with potential repercussions on the
biological activity of the North Atlantic Gyre interior.</p>
      <p>This redistribution of organic carbon from the nearshore to the offshore
makes the vertically integrated net community production, i.e., <inline-formula><mml:math id="M134" display="inline"><mml:mo>∫</mml:mo></mml:math></inline-formula>NCP,
strongly positive in the nearshore regions and strongly negative in the
offshore. This implies, when viewed over the whole water column, that the
nearshore regions are net autotrophic and the offshore regions are net
heterotrophic. However, the upper ocean (down to more than 100 m) acts
everywhere as an organic carbon source, i.e., remains autotrophic. Thus, our
model demonstrates how critical it is to consider the depth interval over
which the trophic state of a system is evaluated.</p>
      <p>Strong subregional differences in the fluxes characterize the CanUS. North of
the Cabo Verde frontal zone, coastal production quickly declines offshore,
while strong offshore transport by filaments fuels strong remineralization in
the offshore regions, causing strong heterotrophic conditions downward of
200 m. Mixing and vertical downwelling play an important role in the
vertical export in this subregion, enhancing the export of small detrital
material below the euphotic layer.</p>
      <p>South of the Cabo Verde frontal zone high levels of near-surface production
extend far offshore. Despite being the most productive area, the southern
subregion has a much more modest impact on the offshore flux and also on the
offshore rates of remineralization. This results in a water column that has
almost a neutral trophic state (<inline-formula><mml:math id="M135" display="inline"><mml:mo>∫</mml:mo></mml:math></inline-formula>NCP <inline-formula><mml:math id="M136" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0). Vertical export at
depth in this subregion is driven mostly by sinking fluxes due to the shallow
MLD and the positive wind stress curl signature.</p>
      <p>The central zonal band of the CanUS, which includes the Cabo Verde frontal
zone bridging the northern and southern subregions, is characterized by an
alongshore convergence of organic carbon on the shelf. The accumulated
organic carbon is laterally exported from the shelf by an intense offshore
flux that along the way releases on average as much organic carbon as
57 % of the local NCP, fueling the most intense peak of water column
heterotrophy of the entire CanUS. The offshore transport is also pronounced
at depth, especially in the first 500 km from the coast, while advective and
mixing fluxes have an important role in the vertical export in this
subregion. Both the intense offshore transport and downwelling of organic
carbon may be enhanced by the very large and persistent Cape Blanc filament.</p>
      <p>Our study highlights the strength of the coupling between the productive
CanUS region and the adjacent oligotrophic open North Atlantic. Lateral
fluxes, especially the offshore transport, are influenced by the mean
circulation, mesoscale activity, and physical forcings, and they play an
essential role in the fueling of the heterotrophic activity in the open seas.
Their impact on the local carbon availability fully explains the complex
pattern of net sources and sinks of organic carbon of the CanUS region.</p>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability">

      <p>Model data are available upon email request to the first author (elisa.lovecchio@usys.ethz.ch) and on the public repository located at: <uri>ftp://data.up.ethz.ch/Atl_telesc/LRT_bg-2016-548/</uri>.</p>
  </notes><?xmltex \hack{\clearpage}?><app-group>

<app id="App1.Ch1.S1">
  <title>Data sets</title>

<?xmltex \floatpos{h!}?><table-wrap id="App1.Ch1.T1"><?xmltex \hack{\hsize\textwidth}?><caption><p>Description of the data sets used for
<bold>(a)</bold> the model run main forcing, and <bold>(b)</bold> data sets used for
calculating stratus cloud an sea ice corrections to the main forcing. DFS:
Drakkar forcing set, NSIDC: National Snow and Ice Data Center.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="justify" colwidth="79.667717pt"/>
     <oasis:colspec colnum="2" colname="col2" align="justify" colwidth="42.679134pt"/>
     <oasis:colspec colnum="3" colname="col3" align="justify" colwidth="79.667717pt"/>
     <oasis:colspec colnum="4" colname="col4" align="justify" colwidth="99.584646pt"/>
     <oasis:colspec colnum="5" colname="col5" align="justify" colwidth="102.429921pt"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry namest="col1" nameend="col5" align="left"><bold>(a)</bold> Forcing data sets </oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Data source</oasis:entry>  
         <oasis:entry colname="col2">Ref. time</oasis:entry>  
         <oasis:entry colname="col3">Resolution</oasis:entry>  
         <oasis:entry colname="col4">Variables</oasis:entry>  
         <oasis:entry colname="col5">Reference</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">ERA-Interim</oasis:entry>  
         <oasis:entry colname="col2">1979–2010</oasis:entry>  
         <oasis:entry colname="col3">N128 reduced Gaussian grid</oasis:entry>  
         <oasis:entry colname="col4">Freshwater flux, wind stress,<?xmltex \hack{\hfill\break}?>net heat flux, net shortwave radiation</oasis:entry>  
         <oasis:entry colname="col5">
                    <xref ref-type="bibr" rid="bib1.bibx22" id="text.94"/>
                  </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">GLOBALVIEW 2011</oasis:entry>  
         <oasis:entry colname="col2">1998–2011</oasis:entry>  
         <oasis:entry colname="col3">1<inline-formula><mml:math id="M137" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M138" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 1<inline-formula><mml:math id="M139" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> grid</oasis:entry>  
         <oasis:entry colname="col4">Atmospheric <inline-formula><mml:math id="M140" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>CO<inline-formula><mml:math id="M141" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5">
                    <xref ref-type="bibr" rid="bib1.bibx38" id="text.95"/>
                  </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry namest="col1" nameend="col5" align="left"><bold>(b)</bold> Data sets used for corrections to the forcing data sets </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Data source</oasis:entry>  
         <oasis:entry colname="col2">Ref. time</oasis:entry>  
         <oasis:entry colname="col3">Resolution</oasis:entry>  
         <oasis:entry colname="col4">Variables</oasis:entry>  
         <oasis:entry colname="col5">Reference</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">DFS 5.2</oasis:entry>  
         <oasis:entry colname="col2">1979–2011</oasis:entry>  
         <oasis:entry colname="col3">0.7<inline-formula><mml:math id="M142" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M143" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 0.7<inline-formula><mml:math id="M144" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> grid</oasis:entry>  
         <oasis:entry colname="col4">Downward longwave radiation, downward shortwave radiation</oasis:entry>  
         <oasis:entry colname="col5">
                    <xref ref-type="bibr" rid="bib1.bibx16" id="text.96"/>
                  </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">ERA-Interim</oasis:entry>  
         <oasis:entry colname="col2">1979–2011</oasis:entry>  
         <oasis:entry colname="col3">0.75<inline-formula><mml:math id="M145" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M146" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 0.75<inline-formula><mml:math id="M147" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> grid</oasis:entry>  
         <oasis:entry colname="col4">Downward longwave radiation, downward shortwave radiation</oasis:entry>  
         <oasis:entry colname="col5">
                    <xref ref-type="bibr" rid="bib1.bibx22" id="text.97"/>
                  </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">ERA-Interim</oasis:entry>  
         <oasis:entry colname="col2">1989–2009</oasis:entry>  
         <oasis:entry colname="col3">1.5<inline-formula><mml:math id="M148" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M149" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 1.5<inline-formula><mml:math id="M150" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> grid</oasis:entry>  
         <oasis:entry colname="col4">Sea ice fraction</oasis:entry>  
         <oasis:entry colname="col5">
                    <xref ref-type="bibr" rid="bib1.bibx22" id="text.98"/>
                  </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">NSIDC Sea Ice Motion Vectors</oasis:entry>  
         <oasis:entry colname="col2">1979–2006</oasis:entry>  
         <oasis:entry colname="col3">25 km EASE-Grid</oasis:entry>  
         <oasis:entry colname="col4">Sea ice drift</oasis:entry>  
         <oasis:entry colname="col5">
                    <xref ref-type="bibr" rid="bib1.bibx33" id="text.99"/>
                  </oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

<?xmltex \floatpos{h!}?><table-wrap id="App1.Ch1.T2"><?xmltex \hack{\hsize\textwidth}?><caption><p>Description of the data sets used for the
model run lateral boundary conditions. WOA: World Ocean Atlas, SODA: Simple
Ocean Data Assimilation, SeaWiFS: Sea-viewing Wide Field-of-view Sensor,
and GLODAP: GLobal Ocean Data Analysis Project.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="justify" colwidth="56.905512pt"/>
     <oasis:colspec colnum="2" colname="col2" align="justify" colwidth="42.679134pt"/>
     <oasis:colspec colnum="3" colname="col3" align="justify" colwidth="79.667717pt"/>
     <oasis:colspec colnum="4" colname="col4" align="justify" colwidth="113.811024pt"/>
     <oasis:colspec colnum="5" colname="col5" align="justify" colwidth="93.894094pt"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry namest="col1" nameend="col5" align="left">Boundary conditions </oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Data source</oasis:entry>  
         <oasis:entry colname="col2">Ref. time</oasis:entry>  
         <oasis:entry colname="col3">Resolution</oasis:entry>  
         <oasis:entry colname="col4">Variables</oasis:entry>  
         <oasis:entry colname="col5">Reference</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">WOA 2013</oasis:entry>  
         <oasis:entry colname="col2">1955–2012</oasis:entry>  
         <oasis:entry colname="col3">0.25<inline-formula><mml:math id="M151" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M152" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 0.25<inline-formula><mml:math id="M153" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> grid</oasis:entry>  
         <oasis:entry colname="col4">Temperature, salinity, nitrate</oasis:entry>  
         <oasis:entry colname="col5"><xref ref-type="bibr" rid="bib1.bibx58" id="text.100"/>, <xref ref-type="bibr" rid="bib1.bibx91" id="text.101"/></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SODA v1.4.2</oasis:entry>  
         <oasis:entry colname="col2">1958–2001</oasis:entry>  
         <oasis:entry colname="col3">0.5<inline-formula><mml:math id="M154" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M155" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 0.5<inline-formula><mml:math id="M156" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> grid</oasis:entry>  
         <oasis:entry colname="col4">Momentum components,  sea surface height</oasis:entry>  
         <oasis:entry colname="col5">
                    <xref ref-type="bibr" rid="bib1.bibx19" id="text.102"/>
                  </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SeaWiFS</oasis:entry>  
         <oasis:entry colname="col2">1997–2010</oasis:entry>  
         <oasis:entry colname="col3">9 km grid</oasis:entry>  
         <oasis:entry colname="col4">Sea surface chlorophyll</oasis:entry>  
         <oasis:entry colname="col5">
                    <xref ref-type="bibr" rid="bib1.bibx66" id="text.103"/>
                  </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">GLODAP</oasis:entry>  
         <oasis:entry colname="col2">–</oasis:entry>  
         <oasis:entry colname="col3">1<inline-formula><mml:math id="M157" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M158" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 1<inline-formula><mml:math id="M159" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> grid</oasis:entry>  
         <oasis:entry colname="col4">Sea surface alkalinity, sea surface dissolved inorganic carbon</oasis:entry>  
         <oasis:entry colname="col5">
                    <xref ref-type="bibr" rid="bib1.bibx52" id="text.104"/>
                  </oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

<?xmltex \hack{\clearpage}?><?xmltex \floatpos{h!}?><table-wrap id="App1.Ch1.T3"><?xmltex \hack{\hsize\textwidth}?><caption><p>Description of the data sets used for the
model evaluation. CMDT: combined mean dynamic topography, AVHRR: advanced
very-high-resolution radiometer, CARS: CSIRO Atlas of Regional Seas, SeaWiFS:
Sea-viewing Wide Field-of-view Sensor, and WOD09: World Ocean Database 2009.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="justify" colwidth="79.667717pt"/>
     <oasis:colspec colnum="2" colname="col2" align="justify" colwidth="48.369685pt"/>
     <oasis:colspec colnum="3" colname="col3" align="justify" colwidth="76.822441pt"/>
     <oasis:colspec colnum="4" colname="col4" align="justify" colwidth="88.203543pt"/>
     <oasis:colspec colnum="5" colname="col5" align="justify" colwidth="113.811024pt"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry namest="col1" nameend="col5" align="left">Model evaluation </oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Data source</oasis:entry>  
         <oasis:entry colname="col2">Ref. time</oasis:entry>  
         <oasis:entry colname="col3">Resolution</oasis:entry>  
         <oasis:entry colname="col4">Variables</oasis:entry>  
         <oasis:entry colname="col5">Reference</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Aviso CMDT Rio05</oasis:entry>  
         <oasis:entry colname="col2">1993–1999</oasis:entry>  
         <oasis:entry colname="col3">0.5<inline-formula><mml:math id="M160" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M161" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 0.5<inline-formula><mml:math id="M162" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> grid</oasis:entry>  
         <oasis:entry colname="col4">Sea surface height</oasis:entry>  
         <oasis:entry colname="col5">
                    <xref ref-type="bibr" rid="bib1.bibx77" id="text.105"/>
                  </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">AVHRR</oasis:entry>  
         <oasis:entry colname="col2">1981–2014</oasis:entry>  
         <oasis:entry colname="col3">0.25<inline-formula><mml:math id="M163" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M164" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 0.25<inline-formula><mml:math id="M165" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> grid</oasis:entry>  
         <oasis:entry colname="col4">Sea surface temperature</oasis:entry>  
         <oasis:entry colname="col5">
                    <xref ref-type="bibr" rid="bib1.bibx75" id="text.106"/>
                  </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">CARS</oasis:entry>  
         <oasis:entry colname="col2">1955–2003</oasis:entry>  
         <oasis:entry colname="col3">0.5<inline-formula><mml:math id="M166" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M167" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 0.5<inline-formula><mml:math id="M168" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> grid</oasis:entry>  
         <oasis:entry colname="col4">Sea surface salinity</oasis:entry>  
         <oasis:entry colname="col5">
                    <xref ref-type="bibr" rid="bib1.bibx76" id="text.107"/>
                  </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Argo DT-0.2</oasis:entry>  
         <oasis:entry colname="col2">1941–2008</oasis:entry>  
         <oasis:entry colname="col3">2<inline-formula><mml:math id="M169" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M170" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 2<inline-formula><mml:math id="M171" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> grid</oasis:entry>  
         <oasis:entry colname="col4">Mixed layer depth</oasis:entry>  
         <oasis:entry colname="col5">
                    <xref ref-type="bibr" rid="bib1.bibx62" id="text.108"/>
                  </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Drifters</oasis:entry>  
         <oasis:entry colname="col2">1979–2012</oasis:entry>  
         <oasis:entry colname="col3">0.5<inline-formula><mml:math id="M172" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M173" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 0.5<inline-formula><mml:math id="M174" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> grid</oasis:entry>  
         <oasis:entry colname="col4">Sea surface height</oasis:entry>  
         <oasis:entry colname="col5">
                    <xref ref-type="bibr" rid="bib1.bibx59" id="text.109"/>
                  </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SeaWiFS</oasis:entry>  
         <oasis:entry colname="col2">1997–2010</oasis:entry>  
         <oasis:entry colname="col3">9 km grid</oasis:entry>  
         <oasis:entry colname="col4">Sea surface chlorophyll</oasis:entry>  
         <oasis:entry colname="col5">
                    <xref ref-type="bibr" rid="bib1.bibx66" id="text.110"/>
                  </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SeaWiFS VGPM</oasis:entry>  
         <oasis:entry colname="col2">1997–2010</oasis:entry>  
         <oasis:entry colname="col3">9 km grid</oasis:entry>  
         <oasis:entry colname="col4">Extrapolated net primary production (NPP)</oasis:entry>  
         <oasis:entry colname="col5">
                    <xref ref-type="bibr" rid="bib1.bibx12" id="text.111"/>
                  </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SeaWiFS CbPM</oasis:entry>  
         <oasis:entry colname="col2">1997–2010</oasis:entry>  
         <oasis:entry colname="col3">9 km grid</oasis:entry>  
         <oasis:entry colname="col4">Extrapolated net primary production (NPP)</oasis:entry>  
         <oasis:entry colname="col5">
                    <xref ref-type="bibr" rid="bib1.bibx89" id="text.112"/>
                  </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SeaWiFS POC</oasis:entry>  
         <oasis:entry colname="col2">1997–2010</oasis:entry>  
         <oasis:entry colname="col3">9 km grid</oasis:entry>  
         <oasis:entry colname="col4">Extrapolated surface particulate organic carbon (POC)</oasis:entry>  
         <oasis:entry colname="col5">
                    <xref ref-type="bibr" rid="bib1.bibx65" id="text.113"/>
                  </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">MODIS Aqua VGPM</oasis:entry>  
         <oasis:entry colname="col2">2002–2016</oasis:entry>  
         <oasis:entry colname="col3">9 km grid</oasis:entry>  
         <oasis:entry colname="col4">Extrapolated net primary production</oasis:entry>  
         <oasis:entry colname="col5">
                    <xref ref-type="bibr" rid="bib1.bibx12" id="text.114"/>
                  </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">WOD09</oasis:entry>  
         <oasis:entry colname="col2">–</oasis:entry>  
         <oasis:entry colname="col3">re-binned to <?xmltex \hack{\hfill\break}?>0.5<inline-formula><mml:math id="M175" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M176" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 0.5<inline-formula><mml:math id="M177" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> grid</oasis:entry>  
         <oasis:entry colname="col4">Chlorophyll</oasis:entry>  
         <oasis:entry colname="col5">
                    <xref ref-type="bibr" rid="bib1.bibx51" id="text.115"/>
                  </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">AMT</oasis:entry>  
         <oasis:entry colname="col2">(2004–2014)</oasis:entry>  
         <oasis:entry colname="col3">in situ [0 m, 200 m] depth</oasis:entry>  
         <oasis:entry colname="col4">Particulate organic<?xmltex \hack{\hfill\break}?>carbon</oasis:entry>  
         <oasis:entry colname="col5">
                    <xref ref-type="bibr" rid="bib1.bibx14" id="text.116"/>
                  </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">GEOTRACES</oasis:entry>  
         <oasis:entry colname="col2">(2010)</oasis:entry>  
         <oasis:entry colname="col3">in situ surface</oasis:entry>  
         <oasis:entry colname="col4">Particulate organic<?xmltex \hack{\hfill\break}?>carbon</oasis:entry>  
         <oasis:entry colname="col5">
                    <xref ref-type="bibr" rid="bib1.bibx37" id="text.117"/>
                  </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">ANT</oasis:entry>  
         <oasis:entry colname="col2">(2005)</oasis:entry>  
         <oasis:entry colname="col3">in situ [0 m, 200 m] depth</oasis:entry>  
         <oasis:entry colname="col4">Particulate organic<?xmltex \hack{\hfill\break}?>carbon</oasis:entry>  
         <oasis:entry colname="col5">
                    <xref ref-type="bibr" rid="bib1.bibx5" id="text.118"/>
                  </oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

<?xmltex \hack{\clearpage}?>
</app>

<app id="App1.Ch1.S2">
  <title>Additiona figures</title>

      <?xmltex \floatpos{h!}?><fig id="App1.Ch1.F1"><caption><p>Mean sea surface height (SSH) <bold>(a)</bold> and sea surface temperature
(SST) <bold>(b)</bold> from model and observational data, accompanied by a
model–data difference plot in the full Atlantic telescopic grid domain. A
detailed description of the data used for the evaluation is provided in
Appendix A: Table A3.</p></caption>
        <?xmltex \hack{\hsize\textwidth}?>
        <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://bg.copernicus.org/articles/14/3337/2017/bg-14-3337-2017-f14.png"/>

      </fig>

      <?xmltex \floatpos{h!}?><fig id="App1.Ch1.F2"><caption><p>Evaluation of the modelled annual mean chlorophyll (CHL) by subregion
and by depth for the first 500 km offshore as defined by the first two
budget analysis boxes; see Fig. 4. Both modelled and observed CHL data are expressed in mg m<inline-formula><mml:math id="M178" 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 spread of the dots is maximum for the
southern subregion, in which modelled CHL is too low at shallow depths and too
high at large depths. Observational data set: WOD09, annual mean CHL. A
detailed description of the data used is provided in Appendix A: Table A3.</p></caption>
        <?xmltex \hack{\hsize\textwidth}?>
        <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://bg.copernicus.org/articles/14/3337/2017/bg-14-3337-2017-f15.png"/>

      </fig>

<?xmltex \hack{\clearpage}?><?xmltex \floatpos{h!}?><fig id="App1.Ch1.F3"><caption><p><bold>(a)</bold> Comparison of the modeled mean POC profile with the
measured POC mean profile through co-location in space and time of modeled
and cruise data POC. Data were re-binned in depth to 10 m depth intervals.
We used data contained in the first 2000 km from the coast as defined by the
budget analysis boxes; see Fig. 4. <bold>(b)</bold> Location of the cruise data
colored by sampling month. <bold>(c)</bold> Location of the cruise data colored
by maximum depth of the samples. A detailed description of the data used is
provided in Appendix A: Table A3.</p></caption>
        <?xmltex \hack{\hsize\textwidth}?>
        <?xmltex \igopts{width=384.112205pt}?><graphic xlink:href="https://bg.copernicus.org/articles/14/3337/2017/bg-14-3337-2017-f16.png"/>

      </fig>

      <?xmltex \floatpos{h!}?><fig id="App1.Ch1.F4"><caption><p>Taylor diagrams for the Canary EBUS region of analysis
([9.5<inline-formula><mml:math id="M179" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 32.5<inline-formula><mml:math id="M180" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N] <inline-formula><mml:math id="M181" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> [5<inline-formula><mml:math id="M182" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W,
35<inline-formula><mml:math id="M183" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W]), and climatological annual mean fields. Data sets that were used are as follows: sea
surface temperature (SST): AVHRR, sea surface salinity (SSS): CARS, sea
surface height (SSH): Aviso CMDT Rio05, mixed layer depth (MLD): Argo DT-0.2,
chlorophyll (CHLA): SeaWiFS, net primary production data set 1 (NPP1): SeaWiFS
VGPM, net primary production data set 2 (NPP2): SeaWiFS CbPM, surface
particulate organic carbon (S-POC): SeaWiFS POC, and particulate organic carbon
(POC): cruise POC data (AMT, ANT, GEOTRACES). A detailed description of the
data used for the evaluation is provided in Appendix A: Table A3.</p></caption>
        <?xmltex \hack{\hsize\textwidth}?>
        <?xmltex \igopts{width=156.490157pt}?><graphic xlink:href="https://bg.copernicus.org/articles/14/3337/2017/bg-14-3337-2017-f17.png"/>

      </fig>

<?xmltex \hack{\clearpage}?><?xmltex \floatpos{h!}?><fig id="App1.Ch1.F5"><caption><p>Taylor diagrams for the Canary EBUS region of analysis
([9.5<inline-formula><mml:math id="M184" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 32.5<inline-formula><mml:math id="M185" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N] <inline-formula><mml:math id="M186" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> [5<inline-formula><mml:math id="M187" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W,
35<inline-formula><mml:math id="M188" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W]), and climatological seasonal mean fields. In the summer diagram
MLD was rescaled to MLD<inline-formula><mml:math id="M189" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M190" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> MLD<inline-formula><mml:math id="M191" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula>2, the summer MLD<inline-formula><mml:math id="M192" display="inline"><mml:msub><mml:mi/><mml:mtext>STD</mml:mtext></mml:msub></mml:math></inline-formula> is
therefore 2 times as big as the plotted value, while the correlation remains
unchanged. The data sets that were used are as follows: sea surface temperature (SST): AVHRR, sea surface
salinity (SSS): CARS, sea surface height (SSH): Aviso CMDT Rio05, mixed layer
depth (MLD): Argo DT-0.2, chlorophyll (CHLA): SeaWiFS, net primary production
data set 1 (NPP1): SeaWiFS VGPM, net primary production data set 2 (NPP2):
SeaWiFS CbPM, and surface particulate organic carbon (S-POC): SeaWiFS POC. A
detailed description of the data used for the evaluation is provided in
Appendix A: Table A3.</p></caption>
        <?xmltex \hack{\hsize\textwidth}?>
        <?xmltex \igopts{width=298.753937pt}?><graphic xlink:href="https://bg.copernicus.org/articles/14/3337/2017/bg-14-3337-2017-f18.png"/>

      </fig>

<?xmltex \hack{\clearpage}?><?xmltex \floatpos{h!}?><fig id="App1.Ch1.F6"><caption><p>Mean vertical sections of the concentration of the modeled organic
carbon (POC) components in the Canary EBUS, averaged meridionally along lines
of equal distance from the coast between 9.5 and 32<inline-formula><mml:math id="M193" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N.
<bold>(a)</bold> Phytoplankton (PHYTO), <bold>(b)</bold> zooplankton (ZOO),
<bold>(c)</bold> small detritus (SDet), and <bold>(d)</bold> large detritus (LDet).</p></caption>
        <?xmltex \hack{\hsize\textwidth}?>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://bg.copernicus.org/articles/14/3337/2017/bg-14-3337-2017-f19.png"/>

      </fig>

<?xmltex \hack{\clearpage}?><?xmltex \floatpos{h!}?><fig id="App1.Ch1.F7"><caption><p>Maps of the inorganic nutrient (total inorganic
nitrogen is equal to nitrate <inline-formula><mml:math id="M194" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> ammonia) flux components in the top 100 m
corresponding to the euphotic layer in the CanUS. <bold>(a)</bold> Zonal flux
vertically integrated over the top 100 m with positive values indicating
eastward (onshore) transport; <bold>(b)</bold> as in <bold>(a)</bold>, but for the
meridional flux, with positive values indicating northward transport;
<bold>(c)</bold> vertical advective flux across 100 m, with positive values
indicating upward transport; <bold>(d)</bold> as in <bold>(c)</bold> but for vertical
mixing. The plotted vertical component was smoothed with a <inline-formula><mml:math id="M195" display="inline"><mml:mrow><mml:mn mathvariant="normal">7</mml:mn><mml:mo>×</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:math></inline-formula> grid
point two-dimensional filter.</p></caption>
        <?xmltex \hack{\hsize\textwidth}?>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://bg.copernicus.org/articles/14/3337/2017/bg-14-3337-2017-f20.png"/>

      </fig>

<?xmltex \hack{\clearpage}?>
</app>
  </app-group><notes notes-type="authorcontribution">

      <p>NG, ZL, and EL conceived the study. EL and MM set up the experiment and improved the model.
EL performed the analysis. EL and NG wrote the paper. All authors
contributed to the interpretation of the results and to the paper. NG
and MM supervised this study.</p>
  </notes><notes notes-type="competinginterests">

      <p>The authors declare that they have no conflict of
interest.</p>
  </notes><ack><title>Acknowledgements</title><p>We would like to thank Martin Frischknecht for his relevant comments on the
work and during the preparation of the paper, Cara Nissen and Meike Vogt
for their valuable feedback, and Damian Loher for the technical support. We
thank Referee no. 1 and Josep Pelegrí for their thoughtful reviews and
their valuable comments that have helped us to improve this paper. We
also thank the group of the Faculty of Marine Sciences at the University of
Las Palmas de Gran Canaria, in particular Javier Arístegui, for allowing a
fruitful exchange of ideas and information and Bàrbara Barceló for
her kind support. A special thought goes to the late Pablo Sangrà whose
generosity and dedication to science will always be a source of inspiration.
This research was financially supported by the Swiss Federal Institute of
Technology Zürich (ETH Zürich) and the Swiss National Science
Foundation (project CALNEX, grant no.149384). The simulations were performed
at the HPC cluster of ETH Zürich, Euler, which is located in the Swiss
Supercomputing Center (CSCS) in Lugano and operated by ETH ITS Scientific IT
Services in Zürich. Model output is available upon request. Please
contact the corresponding author, Elisa Lovecchio
(elisa.lovecchio@usys.ethz.ch), with requests for data.<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?> Edited by: Jack Middelburg<?xmltex \hack{\newline}?> Reviewed by:
Josep L. Pelegrí and one anonymous referee</p></ack><ref-list>
    <title>References</title>

      <ref id="bib1.bibx1"><label>Alonso-González et al.(2009)</label><mixed-citation>Alonso-González, I. J., Arístegui, J., Vilas, J. C., and
Hernández-Guerra, A.: Lateral POC transport and consumption in surface
and deep waters of the Canary Current region: a box model, Global
Biogeochem. Cy., 23, GB2007, <ext-link xlink:href="https://doi.org/10.1029/2008GB003185" ext-link-type="DOI">10.1029/2008GB003185</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bibx2"><label>Alonso-González et al.(2010)</label><mixed-citation>Alonso-González, I. J., Arístegui, J., Lee, C., Sanchez-Vidal, A.,
Calafat, A., Fabrés, J., Sangrà, P., Masquá, P., and
Hernández-Guerra, A.: Role of slowly settling particles in the ocean
carbon cycle, Geophys. Res. Lett., 37, L13608, <ext-link xlink:href="https://doi.org/10.1029/2010GL043827" ext-link-type="DOI">10.1029/2010GL043827</ext-link>,
2010.</mixed-citation></ref>
      <ref id="bib1.bibx3"><label>Álvarez-Salgado and Arístegui(2015)</label><mixed-citation>
Álvarez-Salgado, X. A. and Arístegui, J.: Organic matter dynamics in
the Canary Current, in: Oeanographic and biological features in the Canary
Current Large Marine Ecosystem, edited by: Váldes, L. and
Déniz-González, I., chap. 4.3,  115–383, IOC-UNESCO, Technical
Series 115, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx4"><label>Álvarez-Salgado et al.(2007)</label><mixed-citation>Álvarez-Salgado, X. A., Arístegui, J., Barton, E. D., and Hansell,
D. A.: Contribution of upwelling filaments to offshore carbon export in the
subtropical Northeast Atlantic Ocean, Limnol. Oceanogr., 52,
1287–1292, <ext-link xlink:href="https://doi.org/10.4319/lo.2007.52.3.1287" ext-link-type="DOI">10.4319/lo.2007.52.3.1287</ext-link>, 2007.</mixed-citation></ref>
      <ref id="bib1.bibx5"><label>ANT(2005)</label><mixed-citation>ANT: Particulate organic carbon (POC), Tech. rep., available at:
<uri>https://seabass.gsfc.nasa.gov/cruise/ant-xxiii-1</uri> (last access: March
2017),
ANT-XXIII-1, SIO Stramsky, 2005.</mixed-citation></ref>
      <ref id="bib1.bibx6"><label>Arístegui et al.(2002)</label><mixed-citation>Arístegui, J., Duarte, C. M., Agustí, S., Doval, M.,
Álvarez-Salgado, X., and Hansell, D.: Dissolved Organic Carbon Support of
Respiration in the Dark Ocean, Science, 298, 1967,
<ext-link xlink:href="https://doi.org/10.1126/science.1076746" ext-link-type="DOI">10.1126/science.1076746</ext-link>, 2002.</mixed-citation></ref>
      <ref id="bib1.bibx7"><label>Arístegui et al.(2003)</label><mixed-citation>Arístegui, J., Barton, E. D., Montero, M. F., García-Muñoz, M., and
Escánez, J.: Organic carbon distribution and water column respiration in
the NW African-Canaries Coastal Transition Zone, Aquat. Microb. Ecol.,
33, 289–301, <ext-link xlink:href="https://doi.org/10.3354/ame033289" ext-link-type="DOI">10.3354/ame033289</ext-link>, 2003.</mixed-citation></ref>
      <ref id="bib1.bibx8"><label>Arístegui et al.(2009)</label><mixed-citation>Arístegui, J., Barton, E. D., Álvarez-Salgado, X. A., Santos, M. P.,
Figueiras, F. G., Kifani, S., Hernández-León, S., Mason, E.,
Machú, E., and Demarq, H.: Sub-regional ecosystem variability in the
Canary Current upwelling, Prog. Oceanogr., 83, 33–48,
<ext-link xlink:href="https://doi.org/10.1016/j.pocean.2009.07.031" ext-link-type="DOI">10.1016/j.pocean.2009.07.031</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bibx9"><label>Auger et al.(2016)Auger, Gorgues, Machu, Aumont, and
Brehmer</label><mixed-citation>Auger, P.-A., Gorgues, T., Machu, E., Aumont, O., and Brehmer, P.: What
drives the spatial variability of primary productivity and matter fluxes in
the north-west African upwelling system? A modelling approach,
Biogeosciences, 13, 6419–6440, <ext-link xlink:href="https://doi.org/10.5194/bg-13-6419-2016" ext-link-type="DOI">10.5194/bg-13-6419-2016</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx10"><label>Aumont et al.(2003)Aumont, Maier-Reimer, Blain, and
Monfray</label><mixed-citation>Aumont, O., Maier-Reimer, E., Blain, S., and Monfray, P.: An ecosystem model
of
the global ocean including Fe, Si, P colimitations, Global Biogeochem.
Cy., 17, 1060,  <ext-link xlink:href="https://doi.org/10.1029/2001GB001745" ext-link-type="DOI">10.1029/2001GB001745</ext-link>, 2003.</mixed-citation></ref>
      <ref id="bib1.bibx11"><label>Barton et al.(2004)</label><mixed-citation>
Barton, E. D., Arístegui, J., Tett, P., and Navarro-Pérez, E.:
Variability in the Canary Islands area of filament-eddy exchanges, Prog.
Oceanogr., 62, 71–94, 2004.</mixed-citation></ref>
      <ref id="bib1.bibx12"><label>Behrenfeld and Falkowski(1997)</label><mixed-citation>Behrenfeld, M. J. and Falkowski, P. G.: Photosynthetic rates derived from
satellite-based chlorophyll concentration, Limnol. Oceanogr., 42,
1–20, <ext-link xlink:href="https://doi.org/10.4319/lo.1997.42.1.0001" ext-link-type="DOI">10.4319/lo.1997.42.1.0001</ext-link>,  1997.</mixed-citation></ref>
      <ref id="bib1.bibx13"><label>Berelson(2002)</label><mixed-citation>Berelson, W. M.: Particle settling rates increase with depth in the ocean,
Deep-Sea Res. Pt. II, 49, 237–251,
<ext-link xlink:href="https://doi.org/10.1016/S0967-0645(01)00102-3" ext-link-type="DOI">10.1016/S0967-0645(01)00102-3</ext-link>, 2002.</mixed-citation></ref>
      <ref id="bib1.bibx14"><label>BODC-NERC(2014)</label><mixed-citation>BODC-NERC: Particulate organic carbon (POC) from Atlantic Meridional
Transect (AMT), Tech. rep., Natural Environment Research Council, available
at: <uri>http://www.amt-uk.org/Home</uri> (last access: March 2017), 2014.</mixed-citation></ref>
      <ref id="bib1.bibx15"><label>Brochier et al.(2014)</label><mixed-citation>
Brochier, T., Mason, E., Moyano, M., Berraho, A., Colas, F., Sangrà, P.,
Hernández-León, S., Ettahiri, O., and Lett, C.: Ichtyoplankton
transport from the African coast to the Canary Islands, J. Marine
Syst., 87, 109–122, 2014.</mixed-citation></ref>
      <ref id="bib1.bibx16"><label>Brodeau et al.(2010)Brodeau, Barnier, Treguier, Penduff, and
Gulev</label><mixed-citation>Brodeau, L., Barnier, B., Treguier, A.-M., Penduff, T., and Gulev, S.: An
ERA40-based atmospheric forcing for global ocean circulation models, Ocean
Model., 31, 88–104, <ext-link xlink:href="https://doi.org/10.1016/j.ocemod.2009.10.005" ext-link-type="DOI">10.1016/j.ocemod.2009.10.005</ext-link>,
2010.</mixed-citation></ref>
      <ref id="bib1.bibx17"><label>Carr(2002)</label><mixed-citation>Carr, M.-E.: Estimation of potential productivity in the Eastern Boundary
Currents using remote sensing, Deep-Sea Res. Pt. II, 49, 59–80,
<ext-link xlink:href="https://doi.org/10.1016/S0967-0645(01)00094-7" ext-link-type="DOI">10.1016/S0967-0645(01)00094-7</ext-link>, 2002.</mixed-citation></ref>
      <ref id="bib1.bibx18"><label>Carr and Kearns(2003)</label><mixed-citation>Carr, M.-E. and Kearns, E. J.: Production regimes in four Eastern Boundary
Current Systems, Deep-Sea Res. Pt. II, 50,
3199–3221, <ext-link xlink:href="https://doi.org/10.1016/j.dsr2.2003.07.015" ext-link-type="DOI">10.1016/j.dsr2.2003.07.015</ext-link>, 2003.</mixed-citation></ref>
      <ref id="bib1.bibx19"><label>Carton and Giese(2008)</label><mixed-citation>Carton, J. A. and Giese, B. S.: A Reanalysis of Ocean Climate Using Simple
Ocean Data Assimilation (SODA), American Meteorological Society, Mon.
Weather Rev., 136, 2999–3017,
<ext-link xlink:href="https://doi.org/10.1175/2007MWR1978.1" ext-link-type="DOI">10.1175/2007MWR1978.1</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bibx20"><label>Chavez and Messié(2009)</label><mixed-citation>Chavez, F. P. and Messié, M.: A comparison of Eastern Boundary Upwelling
Ecosystems, Prog. Oceanogr., 83, 80–96,
<ext-link xlink:href="https://doi.org/10.1016/j.pocean.2009.07.032" ext-link-type="DOI">10.1016/j.pocean.2009.07.032</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bibx21"><label>Dai et al.(2009)Dai, Qian, Trenberth, and Milliman</label><mixed-citation>Dai, A., Qian, T., Trenberth, K. E., and Milliman, J. D.: Changes in
continental freshwater discharge from 1948–2004, J. Clim. Am.
Meteorol. Soc., 22, 2773–2791,
<ext-link xlink:href="https://doi.org/10.1175/2008JCLI2592.1" ext-link-type="DOI">10.1175/2008JCLI2592.1</ext-link>, 2009 (data available at: <uri>http://www.cgd.ucar.edu/cas/catalog/surface/dai-runoff/</uri>, last access: 25 May 2016).</mixed-citation></ref>
      <ref id="bib1.bibx22"><label>Dee et al.(2011)</label><mixed-citation>Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P.,
Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P.,
Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N.,
Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S.
B., Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P.,
Köhler, M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette,
J.-J., Park, B.-K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut,
J.-N., and Vitart, F.: The ERA-Interim reanalysis: configuration
and performance of the data assimilation system, Q. J.
Roy. Meteor. Soc., 137, 553–597,
<ext-link xlink:href="https://doi.org/10.1002/qj.828/abstract" ext-link-type="DOI">10.1002/qj.828/abstract</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bibx23"><label>Del Giorgio and Duarte(2002)</label><mixed-citation>Del Giorgio, P. A. and Duarte, C. M.: Respiration in the open ocean,
Nature,
420, 379–384, <ext-link xlink:href="https://doi.org/10.1038/nature01165" ext-link-type="DOI">10.1038/nature01165</ext-link>, 2002.</mixed-citation></ref>
      <ref id="bib1.bibx24"><label>Duarte and Agustí(1998)</label><mixed-citation>Duarte, C. M. and Agustí, S.: The CO<inline-formula><mml:math id="M196" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> Balance of Unproductive
Aquatic
Ecosystems, Science, 281, 234–236, <ext-link xlink:href="https://doi.org/10.1126/science.281.5374.234" ext-link-type="DOI">10.1126/science.281.5374.234</ext-link>,  1998.</mixed-citation></ref>
      <ref id="bib1.bibx25"><label>Duarte and Cebrián(1996)</label><mixed-citation>Duarte, C. M. and Cebrián, J.: The fate of marine autotrophic production,
Limnol. Oceanogr., 41, 1758–1766, <ext-link xlink:href="https://doi.org/10.4319/lo.1996.41.8.1758" ext-link-type="DOI">10.4319/lo.1996.41.8.1758</ext-link>,
1996.</mixed-citation></ref>
      <ref id="bib1.bibx26"><label>Duarte et al.(2013)</label><mixed-citation>
Duarte, C. M., de Gioux, A. R., Arrieta, J. M., Delgado-Huertas, A., and
Augustí, S.: The Oligotrophic Ocean is Heterotrophic, Annu. Rev.
Mar. Sci., 5, 551–569, 2013.</mixed-citation></ref>
      <ref id="bib1.bibx27"><label>Ducklow and Doney(2013)</label><mixed-citation>Ducklow, H. W. and Doney, S. C.: What is the metabolic state of the
oligotrophic ocean? A Debate, Annu. Rev. Mar. Sci., 5, 525–533,
<ext-link xlink:href="https://doi.org/10.1146/annurev-marine-121211-172331" ext-link-type="DOI">10.1146/annurev-marine-121211-172331</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bibx28"><label>Ducklow et al.(2001)Ducklow, Steinberg, and Buesseler</label><mixed-citation>Ducklow, H. W., Steinberg, D. K., and Buesseler, K.: Upper ocean Carbon
Export
and the Biological Pump, Oceanography, 14, 50–58,
<ext-link xlink:href="https://doi.org/10.5670/oceanog.2001.06" ext-link-type="DOI">10.5670/oceanog.2001.06</ext-link>, 2001.</mixed-citation></ref>
      <ref id="bib1.bibx29"><label>Dussin et al.(2016)Dussin, Barnier, Brodeau, and
Molines</label><mixed-citation>Dussin, R., Barnier, B., Brodeau, L., and Molines, J. M.: The Making Of the
Drakkar Forcing Set DFS5, Tech. rep., LGGE, Grenoble, France, available at:
<uri>https://www.drakkar-ocean.eu/publications/reports/report_DFS5v3_April2016.pdf</uri>
(last access: 25 May 2016), 2016.</mixed-citation></ref>
      <ref id="bib1.bibx30"><label>Falkowski et al.(1994)Falkowski, Biscaye, and
Sancetta</label><mixed-citation>Falkowski, P. G., Biscaye, P. E., and Sancetta, C.: The lateral flux of
biogenic particles from the eastern North American continental margin to the
North Atlantic Ocean, Deep-Sea Res. Pt. II,
41, 583–601, <ext-link xlink:href="https://doi.org/10.1016/0967-0645(94)90036-1" ext-link-type="DOI">10.1016/0967-0645(94)90036-1</ext-link>, 1994.</mixed-citation></ref>
      <ref id="bib1.bibx31"><label>Fischer et al.(2009)Fischer, Reuter, Karakas, Nowald, and
Wefer</label><mixed-citation>Fischer, G., Reuter, C., Karakas, G., Nowald, N., and Wefer, G.: Offshore
advection of particles within the Cape Blanc filament, Mauritania: Results
from observational and modelling studies, Prog. Oceanogr., 83,
322–330, <ext-link xlink:href="https://doi.org/10.1016/j.pocean.2009.07.023" ext-link-type="DOI">10.1016/j.pocean.2009.07.023</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bibx32"><label>Fischer and Karakaş(2009)</label><mixed-citation>Fischer, G. and Karakaş, G.: Sinking rates and ballast composition of
particles in the Atlantic Ocean: implications for the organic carbon fluxes
to the deep ocean, Biogeosciences, 6, 85–102, <ext-link xlink:href="https://doi.org/10.5194/bg-6-85-2009" ext-link-type="DOI">10.5194/bg-6-85-2009</ext-link>,
2009.</mixed-citation></ref>
      <ref id="bib1.bibx33"><label>Fowler(2003)</label><mixed-citation>Fowler, C.: Polar Pathfinder Daily 25 km EASE-Grid Sea Ice Motion Vectors
(1979–2006), Tech. rep., Boulder, Colorado USA: National Snow and Ice Data
Center, available at:
<uri>http://nsidc.org/data/docs/daac/nsidc0116_icemotion.gd.html</uri> (last
access: March 2012), 2003.</mixed-citation></ref>
      <ref id="bib1.bibx34"><label>Gabric et al.(1993)Gabric, Garcia, Van Camp, Nykjaer, Eifler, and
Schrimpf</label><mixed-citation>Gabric, A. J., Garcia, L., Van Camp, L., Nykjaer, L., Eifler, W., and
Schrimpf, W.: Offshore export of shelf production in the Cape Blanc
(Mauritania) giant filament as derived from coastal zone color scanner
imagery, J. Geophys. Res., 98, 4697–4712,
<ext-link xlink:href="https://doi.org/10.1029/92JC01714" ext-link-type="DOI">10.1029/92JC01714</ext-link>, 1993.</mixed-citation></ref>
      <ref id="bib1.bibx35"><label>Galbraith et al.(2010)Galbraith, Gnanadesikan, Dunne, and
Hiscock</label><mixed-citation>Galbraith, E. D., Gnanadesikan, A., Dunne, J. P., and Hiscock, M. R.:
Regional impacts of iron-light colimitation in a global biogeochemical model,
Biogeosciences, 7, 1043–1064, <ext-link xlink:href="https://doi.org/10.5194/bg-7-1043-2010" ext-link-type="DOI">10.5194/bg-7-1043-2010</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bibx36"><label>García-Muñoz et al.(2005)</label><mixed-citation>García-Muñoz, M., Arístegui, J., Pelegrí, J. L., Antoranz,
A., Ojeda, A., and Torres, M.: Exchange of carbon by an upwelling filament
off Cape Ghir (NW Africa), J. Marine Syst., 54, 83–95,
<ext-link xlink:href="https://doi.org/10.1016/j.jmarsys.2004.07.005" ext-link-type="DOI">10.1016/j.jmarsys.2004.07.005</ext-link>, 2005.</mixed-citation></ref>
      <ref id="bib1.bibx37"><label>GEOTRACES(2010)</label><mixed-citation>GEOTRACES: Particulate organic carbon (POC), Tech. rep., available at:
<uri>http://www.bodc.ac.uk/geotraces/</uri> (last access: March 2017), RV Knorr
KN199-4, 2010.</mixed-citation></ref>
      <ref id="bib1.bibx38"><label>GLOBALVIEW-CO2(2011)</label><mixed-citation>GLOBALVIEW-CO<inline-formula><mml:math id="M197" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>: Cooperative Atmospheric Data Integration Project – Carbon
Dioxide, Tech. rep., NOAA ESRL, Boulder Colorado,
available at:
<uri>https://www.esrl.noaa.gov/gmd/ccgg/globalview/co2/co2_download.html</uri>,
2011.</mixed-citation></ref>
      <ref id="bib1.bibx39"><label>Gruber et al.(2006)Gruber, Frenzel, Doney, Marchesiello, McWilliams,
Oram, Plattner, and Stolzenbach</label><mixed-citation>Gruber, N., Frenzel, H., Doney, S. C., Marchesiello, P., McWilliams, J. C.,
Oram, J. R., Plattner, G. K., and Stolzenbach, K. D.: Eddy-resolving
simulation of plankton ecosystem dynamics in the California Current System,
Deep-Sea Res. Pt. I, 53, 1483–1516,
<ext-link xlink:href="https://doi.org/10.1016/j.dsr.2006.06.005" ext-link-type="DOI">10.1016/j.dsr.2006.06.005</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bibx40"><label>Gruber et al.(2011)Gruber, Lachkar, Frenzel, Marchesiello,
Münnich, McWilliams, Nagai, and Plattner</label><mixed-citation>Gruber, N., Lachkar, Z., Frenzel, H., Marchesiello, P., Münnich, M.,
McWilliams, J. C., Nagai, T., and Plattner, G.-K.: Eddy-induced reduction of
biological production in eastern boundary upwelling systems, Nat.
Geosci., 4, 787–792, <ext-link xlink:href="https://doi.org/10.1038/ngeo1273" ext-link-type="DOI">10.1038/ngeo1273</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bibx41"><label>Hansell(2002)</label><mixed-citation>
Hansell, D. A.: DOC in the Global Ocean Carbon Cycle, chap. 15,
Biogeochemistry of marine dissolved organic matter, 685–714, Academic
Press – Elsevier, San Diego, California, USA,
2002.</mixed-citation></ref>
      <ref id="bib1.bibx42"><label>Hansell and Carlson(2015)</label><mixed-citation>
Hansell, D. A. and Carlson, C. A.: Biogeochemistry of Marine Dissolved
Organic
Matter, 2nd Edn., Academic Press, San Diego, California, USA, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx43"><label>Hansell et al.(2009)Hansell, Carlson, Repeta, and
Schlitzer</label><mixed-citation>Hansell, D. A., Carlson, C. A., Repeta, D., and Schlitzer, R.: Dissolved
Organic Matter in the Ocean: a controversy stimulates new insights,
Oceanography, 22, 202–211, <ext-link xlink:href="https://doi.org/10.5670/oceanog.2009.109" ext-link-type="DOI">10.5670/oceanog.2009.109</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bibx44"><label>Haumann et al.(2016)</label><mixed-citation>Haumann, F. A., Gruber, N., Münnich, M., Frenger, I., and Kern, S.:
Sea-ice
transport driving Southern Ocean salinity and its recent trends, Nature, 537,
89–92, <ext-link xlink:href="https://doi.org/10.1038/nature19101" ext-link-type="DOI">10.1038/nature19101</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx45"><label>Hauri et al.(2013)Hauri, Gruber, Vogt, Doney, Feely, Lachkar,
Leinweber, McDonnell, Munnich, and Plattner</label><mixed-citation>Hauri, C., Gruber, N., Vogt, M., Doney, S. C., Feely, R. A., Lachkar, Z.,
Leinweber, A., McDonnell, A. M. P., Munnich, M., and Plattner, G.-K.:
Spatiotemporal variability and long-term trends of ocean acidification in the
California Current System, Biogeosciences, 10, 193–216,
<ext-link xlink:href="https://doi.org/10.5194/bg-10-193-2013" ext-link-type="DOI">10.5194/bg-10-193-2013</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bibx46"><label>Helmke et al.(2005)Helmke, Romero, and Fischer</label><mixed-citation>Helmke, P., Romero, O., and Fischer, G.: Northwest African upwelling and its
effect on offshore organic carbon export to the deep sea, Global
Biogeochem. Cy., 19, GB4015, <ext-link xlink:href="https://doi.org/10.1029/2004GB002265" ext-link-type="DOI">10.1029/2004GB002265</ext-link>, 2005.</mixed-citation></ref>
      <ref id="bib1.bibx47"><label>Hopkinson and Vallino(2005)</label><mixed-citation>Hopkinson, S. and Vallino, J. J.: Efficient export of carbon to the deep
ocean
through dissolved organic matter, Nature, 433, 142–145,
<ext-link xlink:href="https://doi.org/10.1038/nature03191" ext-link-type="DOI">10.1038/nature03191</ext-link>, 2005.</mixed-citation></ref>
      <ref id="bib1.bibx48"><label>Hwang et al.(2008)Hwang, Druffel, and Komada</label><mixed-citation>Hwang, J., Druffel, E. R. M., and Komada, T.: Transport of organic carbon
from
the California coast to the slope region: A study of <inline-formula><mml:math id="M198" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="normal">Δ</mml:mi><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C and
<inline-formula><mml:math id="M199" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="normal">Δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C signatures of organic compound classes, Global
Biogeochem. Cy., 19, GB2017, <ext-link xlink:href="https://doi.org/10.1029/2004GB002347" ext-link-type="DOI">10.1029/2004GB002347</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bibx49"><label>Inthorn et al.(2006a)Inthorn, Mohrholz, and Zabel</label><mixed-citation>Inthorn, M., Mohrholz, V., and Zabel, M.: Nepheloid layer distribution in the
Benguela upwelling area offshore Namibia, Deep-Sea Res. Pt. I, 53, 1423–1438,
<ext-link xlink:href="https://doi.org/10.1016/j.dsr.2006.06.004" ext-link-type="DOI">10.1016/j.dsr.2006.06.004</ext-link>, 2006a.</mixed-citation></ref>
      <ref id="bib1.bibx50"><label>Inthorn et al.(2006b)Inthorn, Wagner, Scheeder, and
Zabel</label><mixed-citation>Inthorn, M., Wagner, T., Scheeder, G., and Zabel, M.: Lateral transport
controls distribution, quality and burial of organic matter along
ocontinental slopes in high-productivity areas, Geology, 34, 205–208,
<ext-link xlink:href="https://doi.org/10.1130/G22153.1" ext-link-type="DOI">10.1130/G22153.1</ext-link>, 2006b.</mixed-citation></ref>
      <ref id="bib1.bibx51"><label>Johnson et al.(2009)Johnson, Boyer, Garcia, Locarnini, Baranova, and
Zweng</label><mixed-citation>Johnson, D. R., Boyer, T. P., Garcia, H. E., Locarnini, R. A., Baranova,
O. K.,
and Zweng, M. M.: World Ocean Database 2009 Documentation, Tech. rep.,
Sydney Levitus, NODC Internal Report 20, NOAA Printing Office, Silver
Spring, MD, 175 pp., available at:
<uri>http://www.nodc.noaa.gov/OC5/WOD09/pr_wod09.html</uri>, 2009. </mixed-citation></ref>
      <ref id="bib1.bibx52"><label>Key et al.(2004)Key, Kozyr, Sabine, Lee, Wanninkhof, Bullister,
Feely, Millero, Mordy, and Peng</label><mixed-citation>Key, R. M., Kozyr, A., Sabine, C. L., Lee, K., Wanninkhof, R., Bullister, J.,
Feely, R. A., Millero, F., Mordy, C., and Peng, T.-H.: A global ocean carbon
climatology: Results from GLODAP, Global Biogeochem. Cy., 18, GB4031,
<ext-link xlink:href="https://doi.org/10.1029/2004GB002247" ext-link-type="DOI">10.1029/2004GB002247</ext-link>, 2004.</mixed-citation></ref>
      <ref id="bib1.bibx53"><label>Lachkar and Gruber(2011)</label><mixed-citation>Lachkar, Z. and Gruber, N.: What controls biological production in coastal
upwelling systems? Insights from a comparative modeling study,
Biogeosciences, 8, 2961–2976, <ext-link xlink:href="https://doi.org/10.5194/bg-8-2961-2011" ext-link-type="DOI">10.5194/bg-8-2961-2011</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bibx54"><label>Lachkar and Gruber(2013)</label><mixed-citation>Lachkar, Z. and Gruber, N.: Response of biological production and air–sea
CO<inline-formula><mml:math id="M200" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> fluxes to upwelling intensification in the California and Canary
Current Systems, J. Marine Syst., 109–110, 149–160,
<ext-link xlink:href="https://doi.org/10.1016/j.jmarsys.2012.04.003" ext-link-type="DOI">10.1016/j.jmarsys.2012.04.003</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bibx55"><label>Landschützer et al.(2014)</label><mixed-citation>Landschützer, P., Gruber, N., Bakker, D. C. E., and Schuster, U.: An
observation-based global monthly gridded sea surface <inline-formula><mml:math id="M201" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>CO<inline-formula><mml:math id="M202" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> product from 1998
through 2011 and its monthly climatology, Tech. rep., Carbon Dioxide
Information Analysis Center, Oak Ridge National Laboratory, US Department of
Energy, Oak Ridge, Tennessee,
<ext-link xlink:href="10.3334/CDIAC/OTG.SPCO2_1998_2011_ETH_SOM-FFN">10.3334/CDIAC/OTG.SPCO2</ext-link>,
2014.</mixed-citation></ref>
      <ref id="bib1.bibx56"><label>Large et al.(1994)Large, McWilliams, and Doney</label><mixed-citation>Large, W. G., McWilliams, J. C., and Doney, S. C.: Oceanic vertical mixing: A
review and a model with a nonlocal boundary layer parameterization, Rev. Geophys., 32, 363–403, <ext-link xlink:href="https://doi.org/10.1029/94RG01872" ext-link-type="DOI">10.1029/94RG01872</ext-link>, 1994.</mixed-citation></ref>
      <ref id="bib1.bibx57"><label>Liu et al.(2010)</label><mixed-citation>
Liu, K. K., Atkinson, L., L., Quinones, R., and Talaue-McManus, L.: Carbon
and
Nutrient Fluxes in Continental Margins. A Global Synthesis, Global Change
–
The IGBP Series, Springer-Verlag Berlin Heidelberg, 2010.</mixed-citation></ref>
      <ref id="bib1.bibx58"><label>Locarnini et al.(2013)Locarnini, Mishonov, Antonov, Boyer, Garcia,
Baranova, Zweng, Paver, Reagan, Johnson, Hamilton, and
Seidov</label><mixed-citation>Locarnini, R. A., Mishonov, A. V., Antonov, J. I., Boyer, T. P., Garcia,
H. E.,
Baranova, O. K., Zweng, M. M., Paver, C. R., Reagan, J. R., Johnson, D. R.,
Hamilton, M., and Seidov, D.: World Ocean Atlas 2013, Volume 1: Temperature,
Tech. rep., S. Levitus, A. Mishonov Technical Ed.; NOAA Atlas NESDIS 73,
40 pp., available at:
<uri>http://data.nodc.noaa.gov/woa/WOA13/DOC/woa13_vol1.pdf</uri> (last access:
September 2004), 2013.</mixed-citation></ref>
      <ref id="bib1.bibx59"><label>Lumpkin and Johnson(2013)</label><mixed-citation>Lumpkin, R. and Johnson, G. C.: Global Ocean Surface Velocities from
Drifters:
Mean, Variance, ENSO Response, and Seasonal Cycle, J. Geophys.
Res.-Oceans, 118, 2992–3006, <ext-link xlink:href="https://doi.org/10.1002/jgrc.20210" ext-link-type="DOI">10.1002/jgrc.20210</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bibx60"><label>Mackas et al.(2006)Mackas, Strub, Thomas, and Montecino</label><mixed-citation>
Mackas, D. L., Strub, P. T., Thomas, A., and Montecino, V.: Eastern Ocean
Boundaries: Pan-Regional Overview, in: The Sea, The Global Coastal
Ocean, Harvard University Press, Cambridge, MA, USA, 14, 2006.</mixed-citation></ref>
      <ref id="bib1.bibx61"><label>Mason et al.(2011)</label><mixed-citation>Mason, E., Colas, F., Molemaker, J., Shchepetkin, A. F., Troupin, C.,
McWilliams, J. C., and Sangrà, P.: Seasonal variability of the Canary
Current: A numerical study, J. Geophys. Res.-Oceans, 116, C06001,
<ext-link xlink:href="https://doi.org/10.1029/2010JC006665" ext-link-type="DOI">10.1029/2010JC006665</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bibx62"><label>Montégut et al.(2004)</label><mixed-citation>Montégut, C. D. B., Madec, G., Fischer, A. S., Lazar, A., and Iudicone,
D.:
Mixed layer depth over the global ocean: An examination of profile data and a
profile-based climatology, J. Geophys. Res., 109, C12003,
<ext-link xlink:href="https://doi.org/10.1029/2004JC002378" ext-link-type="DOI">10.1029/2004JC002378</ext-link>, 2004.</mixed-citation></ref>
      <ref id="bib1.bibx63"><label>Moore et al.(2004)Moore, Doney, and Lindsay</label><mixed-citation>Moore, J. K., Doney, S. C., and Lindsay, K.: Upper ocean ecosystem dynamics
and
iron cycling in a global three-dimensional model, Global Biogeochem.
Cy., 18, GB4028, <ext-link xlink:href="https://doi.org/10.1029/2004GB002220" ext-link-type="DOI">10.1029/2004GB002220</ext-link>, 2004.</mixed-citation></ref>
      <ref id="bib1.bibx64"><label>Nagai et al.(2015)Nagai, Gruber, Frenzel, Lachkar, McWilliams, and
Plattner</label><mixed-citation>Nagai, T., Gruber, N., Frenzel, H., Lachkar, Z., McWilliams, J. C., and
Plattner, G.-K.: Dominant role of eddies and filaments in the offshore
transport of carbon and nutrients in the California Current System, J. Geophys. Res., 120, 5318–5341, <ext-link xlink:href="https://doi.org/10.1002/2015JC010889" ext-link-type="DOI">10.1002/2015JC010889</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx65"><label>NASA-OB.DAAC(2010)</label><mixed-citation>NASA-OB.DAAC: SeaWiFS Level-3 Mapped Particulate Organic Carbon Data Version
2014, S19972442010273.3m_mc_chl_chlor_a_9km.nc, NASA Goddard Space
Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group
(1997–2010),
<ext-link xlink:href="https://doi.org/10.5067/ORBVIEW-2/SEAWIFS/L3M/POC/2014" ext-link-type="DOI">10.5067/ORBVIEW-2/SEAWIFS/L3M/POC/2014</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bibx66"><label>NASA-OBPG(2010)</label><mixed-citation>NASA-OBPG: SeaWiFS Data Level-3 Standard Mapped Image,
S19972442010273.3m_mc_chl_chlor_a_9km.nc, NASA Goddard Space Flight
Center, Ocean Ecology Laboratory, Ocean Biology Processing Group (1997–2010),
available at: <uri>http://oceandata.sci.gsfc.nasa.gov</uri> (last access: October
2015), 2010.</mixed-citation></ref>
      <ref id="bib1.bibx67"><label>Ohde et al.(2015)</label><mixed-citation>Ohde, T., Fiedler, B., and Körtzinger, A.: Spatio-temporal distribution
and
transport of particulate matter in the eastern tropical North Atlantic
observed by Argo floats, Deep-Sea Res. Pt. I,
102, 26–42, <ext-link xlink:href="https://doi.org/10.1016/j.dsr.2015.04.007" ext-link-type="DOI">10.1016/j.dsr.2015.04.007</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx68"><label>Pastor et al.(2013)Pastor, Palter, Pelegrí, and
Dunne</label><mixed-citation>Pastor, M. V., Palter, J. B., Pelegrí, J. L., and Dunne, J. P.: Physical
drivers of interannual chlorophyll variability in the eastern subtropical
North Atlantic, J. Geophys. Res.-Oceans, 118, 3871–3886,
<ext-link xlink:href="https://doi.org/10.1002/jgrc.20254" ext-link-type="DOI">10.1002/jgrc.20254</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bibx69"><label>Pelegrí et al.(2006)Pelegrí, Marrero-Díaz, and
Ratsimandresy</label><mixed-citation>Pelegrí, J., Marrero-Díaz, A., and Ratsimandresy, A.: Nutrient
irrigation of the North Atlantic, Prog. Oceanogr., 70, 366–406,
<ext-link xlink:href="https://doi.org/10.1016/j.pocean.2006.03.018" ext-link-type="DOI">10.1016/j.pocean.2006.03.018</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bibx70"><label>Pelegrí and Benazzouz(2015a)</label><mixed-citation>
Pelegrí, J. L. and Benazzouz, A.: Coastal Upwelling off Northwest Africa,
in: Oeanographic and biological features in the Canary Current Large Marine
Ecosystem, edited by: Váldes, L. and Déniz-González, I., chap. 3.4,
115–383, IOC-UNESCO,  Technical Series 115, 2015a.</mixed-citation></ref>
      <ref id="bib1.bibx71"><label>Pelegrí and Peña-Izquierdo(2015b)</label><mixed-citation>
Pelegrí, J. L. and Peña-Izquierdo, J.: Eastern Boudary Currents off
Northwest Africa, in: Oeanographic and biological features in the Canary
Current Large Marine Ecosystem, edited by: Váldes, L. and
Déniz-González, I., chap. 3.3, 115–383, IOC-UNESCO, Technical
Series 115, 2015b.</mixed-citation></ref>
      <ref id="bib1.bibx72"><label>Pelegrí et al.(2005)</label><mixed-citation>Pelegrí, J. L., Arístegui, J., Cana, L., González-Dávila, M.,
Hernández-Guerra, A., Hernández-León, S., Montero, M. F.,
Sangrà, P., and Santana-Casiano, M.: Coupling between the open ocean and
the coastal upwelling region off northwest Africa: water recirculation and
offshore pumping of organic matter, J. Marine Syst., 54, 3–37,
<ext-link xlink:href="https://doi.org/10.1016/j.jmarsys.2004.07.003" ext-link-type="DOI">10.1016/j.jmarsys.2004.07.003</ext-link>, 2005.</mixed-citation></ref>
      <ref id="bib1.bibx73"><label>Peliz et al.(2004)Peliz, Santos, Oliveira, and Dubert</label><mixed-citation>Peliz, A., Santos, A. M. P., Oliveira, P. B., and Dubert, J.: Extreme
cross-shelf transport induced by eddy interactions southwest of Iberia in
winter 2001, Geophys. Res. Lett., 31, L08301,
<ext-link xlink:href="https://doi.org/10.1029/2004GL019618" ext-link-type="DOI">10.1029/2004GL019618</ext-link>, 2004.</mixed-citation></ref>
      <ref id="bib1.bibx74"><label>Plattner et al.(2005)Plattner, Gruber, Frenzel, and
McWilliams</label><mixed-citation>Plattner, G.-K., Gruber, N., Frenzel, H., and McWilliams, J. C.: Decoupling
marine export production from new production, Geophys. Res. Lett.,
32, l11612, <ext-link xlink:href="https://doi.org/10.1029/2005GL022660" ext-link-type="DOI">10.1029/2005GL022660</ext-link>, 2005.</mixed-citation></ref>
      <ref id="bib1.bibx75"><label>Reynolds et al.(2007)Reynolds, Smith, Liu, Chelton, Casey, and
Schlax</label><mixed-citation>Reynolds, R. W., Smith, T. M., Liu, C., Chelton, D. B., Casey, K. S., and
Schlax, M. G.: Daily High-Resolution-Blended analyses for sea surface
temperature, J. Climate, 20, 5473–5496,
<ext-link xlink:href="https://doi.org/10.1175/2007JCLI1824.1" ext-link-type="DOI">10.1175/2007JCLI1824.1</ext-link>, 2007.</mixed-citation></ref>
      <ref id="bib1.bibx76"><label>Ridgway et al.(2002)Ridgway, Dunn, and Wilkin</label><mixed-citation>Ridgway, K. R., Dunn, J. R., and Wilkin, J. L.: Ocean interpolation by
four-dimensional least squares: Application to the waters around Australia,
J. Atmos. Ocean, 19, 1357–1375,
<ext-link xlink:href="https://doi.org/10.1175/1520-0426(2002)019&lt;1357:OIBFDW&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0426(2002)019&lt;1357:OIBFDW&gt;2.0.CO;2</ext-link>,
2002.</mixed-citation></ref>
      <ref id="bib1.bibx77"><label>Rio and Hernandez(2004)</label><mixed-citation>Rio, M.-H. and Hernandez, F.: A mean dynamic topography computed over the
world
ocean from altimetry, in situ measurements, and a geoid model, J. Geophys.
Res, 109, C12032, <ext-link xlink:href="https://doi.org/10.1029/2003JC002226" ext-link-type="DOI">10.1029/2003JC002226</ext-link>, 2004.</mixed-citation></ref>
      <ref id="bib1.bibx78"><label>Roussenov et al.(2006)Roussenov, Williams, Mahaffey, and
Wolff</label><mixed-citation>Roussenov, V., Williams, R. G., Mahaffey, C., and Wolff, G. A.: Does the
transport of dissolved organic nutrients affect export production in the
Atlantic Ocean?, Global Biogeochem. Cy., 20, GB3002,
<ext-link xlink:href="https://doi.org/10.1029/2005GB002510" ext-link-type="DOI">10.1029/2005GB002510</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bibx79"><label>Sangrà et al.(2009)Sangrà, Pascual, Rodríguez-Santana,
F.Machín, Mason, McWilliams, Pelegrí, Dong, Rubio, Arístegui,
Marrero-Díaz, Hernández-Guerra, Martínez-Marrero, and
Auladell</label><mixed-citation>Sangrà, P., Pascual, A., Rodríguez-Santana, Á., F.Machín,
Mason, E., McWilliams, J. C., Pelegrí, J. L., Dong, C., Rubio, A.,
Arístegui, J., Marrero-Díaz, Á., Hernández-Guerra, A.,
Martínez-Marrero, A., and Auladell, M.: The Canary Eddy Corridor: A major
pathway for long-lived eddies in the subtropical North Atlantic, Deep-Sea
Res. Pt. I, 56, 2100–2114,
<ext-link xlink:href="https://doi.org/10.1016/j.dsr.2009.08.008" ext-link-type="DOI">10.1016/j.dsr.2009.08.008</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bibx80"><label>Santana-Falcón et al.(2016)Santana-Falcón, Benavides,
Sangrà, Mason, Barton, Orbi, and Arístegui</label><mixed-citation>Santana-Falcón, Y., Benavides, M., Sangrà, P., Mason, E., Barton,
E. D., Orbi, A., and Arístegui, J.: Coastal-offshore exchange of organic
matter across the Cape Ghir filament (NW Africa) during moderate upwelling,
J. Marine Syst., 154, 233–242,
<ext-link xlink:href="https://doi.org/10.1016/j.jmarsys.2015.10.008" ext-link-type="DOI">10.1016/j.jmarsys.2015.10.008</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx81"><label>Sarmiento and Gruber(2006)</label><mixed-citation>
Sarmiento, J. L. and Gruber, N.: Ocean Biogeochemical Dynamics, Princeton
University Press, 2006.</mixed-citation></ref>
      <ref id="bib1.bibx82"><label>Shchepetkin and McWilliams(2005)</label><mixed-citation>Shchepetkin, A. F. and McWilliams, J. C.: The regional oceanic modeling
system
(ROMS): a split-explicit, topographic-following-coordinate oceanic model,
Ocean Model., 9, 347–404,
<ext-link xlink:href="https://doi.org/10.1016/j.ocemod.2004.08.002" ext-link-type="DOI">10.1016/j.ocemod.2004.08.002</ext-link>, 2005.
</mixed-citation></ref><?xmltex \hack{\newpage}?>
      <ref id="bib1.bibx83"><label>Shigemitsu et al.(2012)Shigemitsu, Okunishi, Nishioka, Sumata,
Hashioka, Aita, Smith, Yoshie, Okada, and Yamanaka</label><mixed-citation>Shigemitsu, M., Okunishi, T., Nishioka, J., Sumata, H., Hashioka, T., Aita,
M. N., Smith, S. L., Yoshie, N., Okada, N., and Yamanaka, Y.: Development of
a one-dimensional ecosystem model including the iron cycle applied to the
Oyashio region, western subarctic Pacific, J. Geophys. Res.-Oceans, 117, c06021, <ext-link xlink:href="https://doi.org/10.1029/2011JC007689" ext-link-type="DOI">10.1029/2011JC007689</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bibx84"><label>Steele et al.(1989)Steele, Mellor, and Mcphee</label><mixed-citation>Steele, M., Mellor, G. L., and Mcphee, M. G.: Role of the Molecular Sublayer
in
the Melting or Freezing of Sea Ice, J. Phys. Oceanogr., 19,
139–147, <ext-link xlink:href="https://doi.org/10.1175/1520-0485(1989)019&lt;0139:ROTMSI&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0485(1989)019&lt;0139:ROTMSI&gt;2.0.CO;2</ext-link>, 1989.</mixed-citation></ref>
      <ref id="bib1.bibx85"><label>Torres-Valdés et al.(2009)Torres-Valdés, Roussenov, Sanders,
Reynolds, Pan, Mather, Landolfi, Wolff, Achterberg, and
Williams</label><mixed-citation>Torres-Valdés, S., Roussenov, V. M., Sanders, R., Reynolds, S., Pan, X.,
Mather, R., Landolfi, A., Wolff, G. A., Achterberg, E. P., and Williams,
R. G.: Distribution of dissolved organic nutrients and their effect on export
production over the Atlantic Ocean, Global Biogeochem. Cy., 23,
<ext-link xlink:href="https://doi.org/10.1029/2008GB003389" ext-link-type="DOI">10.1029/2008GB003389</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bibx86"><label>Turi et al.(2014)Turi, Lachkar, and Gruber</label><mixed-citation>Turi, G., Lachkar, Z., and Gruber, N.: Spatiotemporal variability and drivers
of <inline-formula><mml:math id="M203" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>CO<inline-formula><mml:math id="M204" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and air–sea CO<inline-formula><mml:math id="M205" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> fluxes in the California Current System: an
eddy-resolving modeling study, Biogeosciences, 11, 671–690,
<ext-link xlink:href="https://doi.org/10.5194/bg-11-671-2014" ext-link-type="DOI">10.5194/bg-11-671-2014</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bibx87"><label>Váldes and Déniz-González(2015)</label><mixed-citation>
Váldes, L. and Déniz-González, I.: Introduction, in: Oeanographic
and biological features in the Canary Current Large Marine Ecosystem, edited
by: Váldes, L. and Déniz-González, I., chap. 1, 115–383,
IOC-UNESCO,  Technical Series 115, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx88"><label>Walsh(1991)</label><mixed-citation>Walsh, J. J.: Importance of continental margins in the marine biogeochemical
cycling of carbon and nitrogen, Nature, 350, 53–55, <ext-link xlink:href="https://doi.org/10.1038/350053a0" ext-link-type="DOI">10.1038/350053a0</ext-link>,
1991.</mixed-citation></ref>
      <ref id="bib1.bibx89"><label>Westberry et al.(2008)Westberry, Behrenfeld, Siegel, and Boss</label><mixed-citation>Westberry, T., Behrenfeld, M. J., Siegel, D. A., and Boss, E.: Carbon-based
primary productivity modeling with vertically resolved photoacclimation,
Global Biogeochem. Cy., 22, GB2024, <ext-link xlink:href="https://doi.org/10.1029/2007GB003078" ext-link-type="DOI">10.1029/2007GB003078</ext-link>,
2008 (seaWiFS
VGPM available at:
<uri>http://orca.science.oregonstate.edu/1080.by.2160.monthly.hdf.cbpm2.s.php</uri>, (last access: August 2015), 2008.</mixed-citation></ref>
      <ref id="bib1.bibx90"><label>Williams et al.(2013)Williams, Quay, Westberry, and
Behrenfeld</label><mixed-citation>Williams, P. J. L. B., Quay, P. D., Westberry, T. K., and Behrenfeld, M. J.:
The Oligotrophic Ocean Is Autotrophic, Annu. Rev. Mar. Sci., 5,
535–549, <ext-link xlink:href="https://doi.org/10.1146/annurev-marine-121211-172335" ext-link-type="DOI">10.1146/annurev-marine-121211-172335</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bibx91"><label>Zweng et al.(2013)Zweng, Reagan, Antonov, Locarnini, Mishonov, Boyer,
Garcia, Baranova, Johnson, and D. Seidov</label><mixed-citation>Zweng, M., Reagan, J. R., Antonov, J. I., Locarnini, R. A., Mishonov, A. V.,
Boyer, T. P., Garcia, H. E., Baranova, O. K., Johnson, D. R., and Seidov,
M. M. B.: World Ocean Atlas 2013, Volume 2: Salinity, Tech. rep., S. Levitus, A. Mishonov Technical Ed., NOAA Atlas NESDIS 74, 39 pp., available at:
<uri>http://data.nodc.noaa.gov/woa/WOA13/DOC/woa13_vol2.pdf</uri> (last access:
September 2014), 2013.</mixed-citation></ref>

  </ref-list><app-group content-type="float"><app><title/>

    </app></app-group></back>
    <!--<article-title-html>On the long-range offshore transport of organic carbon from the Canary Upwelling System to the open North Atlantic</article-title-html>
<abstract-html><p class="p">A compilation of measurements of net community production (NCP) in
the upper waters of the eastern subtropical North Atlantic had suggested net
heterotrophic conditions, purportedly supported by the lateral export of
organic carbon from the adjacent, highly productive Canary Upwelling System
(CanUS). Here, we quantify and assess this lateral export using the Regional
Ocean Modeling System (ROMS) coupled to a nutrient, phytoplankton,
zooplankton, and detritus (NPZD) ecosystem model. We employ a new Atlantic
telescopic grid with a strong refinement towards the northwestern African
shelf to combine an eddy-resolving resolution in the CanUS with a full
Atlantic basin perspective. Our climatologically forced simulation reveals an
intense offshore flux of organic carbon that transports
about 19 Tg C yr<sup>−1</sup> away from the nearshore 100 km over the whole CanUS, amounting to more
than a third of the NCP in this region. The offshore transport extends beyond
1500 km into the subtropical North Atlantic, adding organic
carbon along the way to the upper 100 m at rates of between 8 and 34 % of the
alongshore average NCP as a function of offshore distance. Although the
divergence of this lateral export of organic carbon enhances local
respiration, the upper 100 m layer in our model remains net autotrophic in
the entire eastern subtropical North Atlantic. However, the vertical export
of this organic carbon and its subsequent remineralization at depth makes the
vertically integrated NCP strongly negative throughout this region, with the
exception of a narrow band along the northwestern African shelf. The
magnitude and efficiency of the lateral export varies substantially between
the different subregions. In particular, the central coast near Cape Blanc is
particularly efficient in collecting organic carbon on the shelf and
subsequently transporting it offshore. In this central subregion, the
offshore transport adds as much organic carbon as nearly
60 % of the local NCP to the upper 100 m, giving rise to a sharp peak of offshore
respiration that extends to the middle of the gyre. Our modeled offshore
transport of organic carbon is likely a lower-bound estimate due to our lack
of full consideration of the contribution of dissolved organic carbon and
that of particulate organic carbon stemming from the resuspension of
sediments. But even in the absence of these contributions, our results
emphasize the fundamental role of the lateral redistribution of the organic
carbon for the maintenance of the heterotrophic activity in the open sea.</p></abstract-html>
<ref-html id="bib1.bib1"><label>Alonso-González et al.(2009)</label><mixed-citation>
Alonso-González, I. J., Arístegui, J., Vilas, J. C., and
Hernández-Guerra, A.: Lateral POC transport and consumption in surface
and deep waters of the Canary Current region: a box model, Global
Biogeochem. Cy., 23, GB2007, <a href="https://doi.org/10.1029/2008GB003185" target="_blank">https://doi.org/10.1029/2008GB003185</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib2"><label>Alonso-González et al.(2010)</label><mixed-citation>
Alonso-González, I. J., Arístegui, J., Lee, C., Sanchez-Vidal, A.,
Calafat, A., Fabrés, J., Sangrà, P., Masquá, P., and
Hernández-Guerra, A.: Role of slowly settling particles in the ocean
carbon cycle, Geophys. Res. Lett., 37, L13608, <a href="https://doi.org/10.1029/2010GL043827" target="_blank">https://doi.org/10.1029/2010GL043827</a>,
2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib3"><label>Álvarez-Salgado and Arístegui(2015)</label><mixed-citation>
Álvarez-Salgado, X. A. and Arístegui, J.: Organic matter dynamics in
the Canary Current, in: Oeanographic and biological features in the Canary
Current Large Marine Ecosystem, edited by: Váldes, L. and
Déniz-González, I., chap. 4.3,  115–383, IOC-UNESCO, Technical
Series 115, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib4"><label>Álvarez-Salgado et al.(2007)</label><mixed-citation>
Álvarez-Salgado, X. A., Arístegui, J., Barton, E. D., and Hansell,
D. A.: Contribution of upwelling filaments to offshore carbon export in the
subtropical Northeast Atlantic Ocean, Limnol. Oceanogr., 52,
1287–1292, <a href="https://doi.org/10.4319/lo.2007.52.3.1287" target="_blank">https://doi.org/10.4319/lo.2007.52.3.1287</a>, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib5"><label>ANT(2005)</label><mixed-citation>
ANT: Particulate organic carbon (POC), Tech. rep., available at:
<a href="https://seabass.gsfc.nasa.gov/cruise/ant-xxiii-1" target="_blank">https://seabass.gsfc.nasa.gov/cruise/ant-xxiii-1</a> (last access: March
2017),
ANT-XXIII-1, SIO Stramsky, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib6"><label>Arístegui et al.(2002)</label><mixed-citation>
Arístegui, J., Duarte, C. M., Agustí, S., Doval, M.,
Álvarez-Salgado, X., and Hansell, D.: Dissolved Organic Carbon Support of
Respiration in the Dark Ocean, Science, 298, 1967,
<a href="https://doi.org/10.1126/science.1076746" target="_blank">https://doi.org/10.1126/science.1076746</a>, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib7"><label>Arístegui et al.(2003)</label><mixed-citation>
Arístegui, J., Barton, E. D., Montero, M. F., García-Muñoz, M., and
Escánez, J.: Organic carbon distribution and water column respiration in
the NW African-Canaries Coastal Transition Zone, Aquat. Microb. Ecol.,
33, 289–301, <a href="https://doi.org/10.3354/ame033289" target="_blank">https://doi.org/10.3354/ame033289</a>, 2003.
</mixed-citation></ref-html>
<ref-html id="bib1.bib8"><label>Arístegui et al.(2009)</label><mixed-citation>
Arístegui, J., Barton, E. D., Álvarez-Salgado, X. A., Santos, M. P.,
Figueiras, F. G., Kifani, S., Hernández-León, S., Mason, E.,
Machú, E., and Demarq, H.: Sub-regional ecosystem variability in the
Canary Current upwelling, Prog. Oceanogr., 83, 33–48,
<a href="https://doi.org/10.1016/j.pocean.2009.07.031" target="_blank">https://doi.org/10.1016/j.pocean.2009.07.031</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib9"><label>Auger et al.(2016)Auger, Gorgues, Machu, Aumont, and
Brehmer</label><mixed-citation>
Auger, P.-A., Gorgues, T., Machu, E., Aumont, O., and Brehmer, P.: What
drives the spatial variability of primary productivity and matter fluxes in
the north-west African upwelling system? A modelling approach,
Biogeosciences, 13, 6419–6440, <a href="https://doi.org/10.5194/bg-13-6419-2016" target="_blank">https://doi.org/10.5194/bg-13-6419-2016</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib10"><label>Aumont et al.(2003)Aumont, Maier-Reimer, Blain, and
Monfray</label><mixed-citation>
Aumont, O., Maier-Reimer, E., Blain, S., and Monfray, P.: An ecosystem model
of
the global ocean including Fe, Si, P colimitations, Global Biogeochem.
Cy., 17, 1060,  <a href="https://doi.org/10.1029/2001GB001745" target="_blank">https://doi.org/10.1029/2001GB001745</a>, 2003.
</mixed-citation></ref-html>
<ref-html id="bib1.bib11"><label>Barton et al.(2004)</label><mixed-citation>
Barton, E. D., Arístegui, J., Tett, P., and Navarro-Pérez, E.:
Variability in the Canary Islands area of filament-eddy exchanges, Prog.
Oceanogr., 62, 71–94, 2004.
</mixed-citation></ref-html>
<ref-html id="bib1.bib12"><label>Behrenfeld and Falkowski(1997)</label><mixed-citation>
Behrenfeld, M. J. and Falkowski, P. G.: Photosynthetic rates derived from
satellite-based chlorophyll concentration, Limnol. Oceanogr., 42,
1–20, <a href="https://doi.org/10.4319/lo.1997.42.1.0001" target="_blank">https://doi.org/10.4319/lo.1997.42.1.0001</a>,  1997.
</mixed-citation></ref-html>
<ref-html id="bib1.bib13"><label>Berelson(2002)</label><mixed-citation>
Berelson, W. M.: Particle settling rates increase with depth in the ocean,
Deep-Sea Res. Pt. II, 49, 237–251,
<a href="https://doi.org/10.1016/S0967-0645(01)00102-3" target="_blank">https://doi.org/10.1016/S0967-0645(01)00102-3</a>, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib14"><label>BODC-NERC(2014)</label><mixed-citation>
BODC-NERC: Particulate organic carbon (POC) from Atlantic Meridional
Transect (AMT), Tech. rep., Natural Environment Research Council, available
at: <a href="http://www.amt-uk.org/Home" target="_blank">http://www.amt-uk.org/Home</a> (last access: March 2017), 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib15"><label>Brochier et al.(2014)</label><mixed-citation>
Brochier, T., Mason, E., Moyano, M., Berraho, A., Colas, F., Sangrà, P.,
Hernández-León, S., Ettahiri, O., and Lett, C.: Ichtyoplankton
transport from the African coast to the Canary Islands, J. Marine
Syst., 87, 109–122, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib16"><label>Brodeau et al.(2010)Brodeau, Barnier, Treguier, Penduff, and
Gulev</label><mixed-citation>
Brodeau, L., Barnier, B., Treguier, A.-M., Penduff, T., and Gulev, S.: An
ERA40-based atmospheric forcing for global ocean circulation models, Ocean
Model., 31, 88–104, <a href="https://doi.org/10.1016/j.ocemod.2009.10.005" target="_blank">https://doi.org/10.1016/j.ocemod.2009.10.005</a>,
2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib17"><label>Carr(2002)</label><mixed-citation>
Carr, M.-E.: Estimation of potential productivity in the Eastern Boundary
Currents using remote sensing, Deep-Sea Res. Pt. II, 49, 59–80,
<a href="https://doi.org/10.1016/S0967-0645(01)00094-7" target="_blank">https://doi.org/10.1016/S0967-0645(01)00094-7</a>, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib18"><label>Carr and Kearns(2003)</label><mixed-citation>
Carr, M.-E. and Kearns, E. J.: Production regimes in four Eastern Boundary
Current Systems, Deep-Sea Res. Pt. II, 50,
3199–3221, <a href="https://doi.org/10.1016/j.dsr2.2003.07.015" target="_blank">https://doi.org/10.1016/j.dsr2.2003.07.015</a>, 2003.
</mixed-citation></ref-html>
<ref-html id="bib1.bib19"><label>Carton and Giese(2008)</label><mixed-citation>
Carton, J. A. and Giese, B. S.: A Reanalysis of Ocean Climate Using Simple
Ocean Data Assimilation (SODA), American Meteorological Society, Mon.
Weather Rev., 136, 2999–3017,
<a href="https://doi.org/10.1175/2007MWR1978.1" target="_blank">https://doi.org/10.1175/2007MWR1978.1</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib20"><label>Chavez and Messié(2009)</label><mixed-citation>
Chavez, F. P. and Messié, M.: A comparison of Eastern Boundary Upwelling
Ecosystems, Prog. Oceanogr., 83, 80–96,
<a href="https://doi.org/10.1016/j.pocean.2009.07.032" target="_blank">https://doi.org/10.1016/j.pocean.2009.07.032</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib21"><label>Dai et al.(2009)Dai, Qian, Trenberth, and Milliman</label><mixed-citation>
Dai, A., Qian, T., Trenberth, K. E., and Milliman, J. D.: Changes in
continental freshwater discharge from 1948–2004, J. Clim. Am.
Meteorol. Soc., 22, 2773–2791,
<a href="https://doi.org/10.1175/2008JCLI2592.1" target="_blank">https://doi.org/10.1175/2008JCLI2592.1</a>, 2009 (data available at: <a href="http://www.cgd.ucar.edu/cas/catalog/surface/dai-runoff/" target="_blank">http://www.cgd.ucar.edu/cas/catalog/surface/dai-runoff/</a>, last access: 25 May 2016).
</mixed-citation></ref-html>
<ref-html id="bib1.bib22"><label>Dee et al.(2011)</label><mixed-citation>
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P.,
Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P.,
Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N.,
Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S.
B., Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P.,
Köhler, M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette,
J.-J., Park, B.-K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut,
J.-N., and Vitart, F.: The ERA-Interim reanalysis: configuration
and performance of the data assimilation system, Q. J.
Roy. Meteor. Soc., 137, 553–597,
<a href="https://doi.org/10.1002/qj.828/abstract" target="_blank">https://doi.org/10.1002/qj.828/abstract</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib23"><label>Del Giorgio and Duarte(2002)</label><mixed-citation>
Del Giorgio, P. A. and Duarte, C. M.: Respiration in the open ocean,
Nature,
420, 379–384, <a href="https://doi.org/10.1038/nature01165" target="_blank">https://doi.org/10.1038/nature01165</a>, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib24"><label>Duarte and Agustí(1998)</label><mixed-citation>
Duarte, C. M. and Agustí, S.: The CO<sub>2</sub> Balance of Unproductive
Aquatic
Ecosystems, Science, 281, 234–236, <a href="https://doi.org/10.1126/science.281.5374.234" target="_blank">https://doi.org/10.1126/science.281.5374.234</a>,  1998.
</mixed-citation></ref-html>
<ref-html id="bib1.bib25"><label>Duarte and Cebrián(1996)</label><mixed-citation>
Duarte, C. M. and Cebrián, J.: The fate of marine autotrophic production,
Limnol. Oceanogr., 41, 1758–1766, <a href="https://doi.org/10.4319/lo.1996.41.8.1758" target="_blank">https://doi.org/10.4319/lo.1996.41.8.1758</a>,
1996.
</mixed-citation></ref-html>
<ref-html id="bib1.bib26"><label>Duarte et al.(2013)</label><mixed-citation>
Duarte, C. M., de Gioux, A. R., Arrieta, J. M., Delgado-Huertas, A., and
Augustí, S.: The Oligotrophic Ocean is Heterotrophic, Annu. Rev.
Mar. Sci., 5, 551–569, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib27"><label>Ducklow and Doney(2013)</label><mixed-citation>
Ducklow, H. W. and Doney, S. C.: What is the metabolic state of the
oligotrophic ocean? A Debate, Annu. Rev. Mar. Sci., 5, 525–533,
<a href="https://doi.org/10.1146/annurev-marine-121211-172331" target="_blank">https://doi.org/10.1146/annurev-marine-121211-172331</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib28"><label>Ducklow et al.(2001)Ducklow, Steinberg, and Buesseler</label><mixed-citation>
Ducklow, H. W., Steinberg, D. K., and Buesseler, K.: Upper ocean Carbon
Export
and the Biological Pump, Oceanography, 14, 50–58,
<a href="https://doi.org/10.5670/oceanog.2001.06" target="_blank">https://doi.org/10.5670/oceanog.2001.06</a>, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib29"><label>Dussin et al.(2016)Dussin, Barnier, Brodeau, and
Molines</label><mixed-citation>
Dussin, R., Barnier, B., Brodeau, L., and Molines, J. M.: The Making Of the
Drakkar Forcing Set DFS5, Tech. rep., LGGE, Grenoble, France, available at:
<a href="https://www.drakkar-ocean.eu/publications/reports/report_DFS5v3_April2016.pdf" target="_blank">https://www.drakkar-ocean.eu/publications/reports/report_DFS5v3_April2016.pdf</a>
(last access: 25 May 2016), 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib30"><label>Falkowski et al.(1994)Falkowski, Biscaye, and
Sancetta</label><mixed-citation>
Falkowski, P. G., Biscaye, P. E., and Sancetta, C.: The lateral flux of
biogenic particles from the eastern North American continental margin to the
North Atlantic Ocean, Deep-Sea Res. Pt. II,
41, 583–601, <a href="https://doi.org/10.1016/0967-0645(94)90036-1" target="_blank">https://doi.org/10.1016/0967-0645(94)90036-1</a>, 1994.
</mixed-citation></ref-html>
<ref-html id="bib1.bib31"><label>Fischer et al.(2009)Fischer, Reuter, Karakas, Nowald, and
Wefer</label><mixed-citation>
Fischer, G., Reuter, C., Karakas, G., Nowald, N., and Wefer, G.: Offshore
advection of particles within the Cape Blanc filament, Mauritania: Results
from observational and modelling studies, Prog. Oceanogr., 83,
322–330, <a href="https://doi.org/10.1016/j.pocean.2009.07.023" target="_blank">https://doi.org/10.1016/j.pocean.2009.07.023</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib32"><label>Fischer and Karakaş(2009)</label><mixed-citation>
Fischer, G. and Karakaş, G.: Sinking rates and ballast composition of
particles in the Atlantic Ocean: implications for the organic carbon fluxes
to the deep ocean, Biogeosciences, 6, 85–102, <a href="https://doi.org/10.5194/bg-6-85-2009" target="_blank">https://doi.org/10.5194/bg-6-85-2009</a>,
2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib33"><label>Fowler(2003)</label><mixed-citation>
Fowler, C.: Polar Pathfinder Daily 25 km EASE-Grid Sea Ice Motion Vectors
(1979–2006), Tech. rep., Boulder, Colorado USA: National Snow and Ice Data
Center, available at:
<a href="http://nsidc.org/data/docs/daac/nsidc0116_icemotion.gd.html" target="_blank">http://nsidc.org/data/docs/daac/nsidc0116_icemotion.gd.html</a> (last
access: March 2012), 2003.
</mixed-citation></ref-html>
<ref-html id="bib1.bib34"><label>Gabric et al.(1993)Gabric, Garcia, Van Camp, Nykjaer, Eifler, and
Schrimpf</label><mixed-citation>
Gabric, A. J., Garcia, L., Van Camp, L., Nykjaer, L., Eifler, W., and
Schrimpf, W.: Offshore export of shelf production in the Cape Blanc
(Mauritania) giant filament as derived from coastal zone color scanner
imagery, J. Geophys. Res., 98, 4697–4712,
<a href="https://doi.org/10.1029/92JC01714" target="_blank">https://doi.org/10.1029/92JC01714</a>, 1993.
</mixed-citation></ref-html>
<ref-html id="bib1.bib35"><label>Galbraith et al.(2010)Galbraith, Gnanadesikan, Dunne, and
Hiscock</label><mixed-citation>
Galbraith, E. D., Gnanadesikan, A., Dunne, J. P., and Hiscock, M. R.:
Regional impacts of iron-light colimitation in a global biogeochemical model,
Biogeosciences, 7, 1043–1064, <a href="https://doi.org/10.5194/bg-7-1043-2010" target="_blank">https://doi.org/10.5194/bg-7-1043-2010</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib36"><label>García-Muñoz et al.(2005)</label><mixed-citation>
García-Muñoz, M., Arístegui, J., Pelegrí, J. L., Antoranz,
A., Ojeda, A., and Torres, M.: Exchange of carbon by an upwelling filament
off Cape Ghir (NW Africa), J. Marine Syst., 54, 83–95,
<a href="https://doi.org/10.1016/j.jmarsys.2004.07.005" target="_blank">https://doi.org/10.1016/j.jmarsys.2004.07.005</a>, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib37"><label>GEOTRACES(2010)</label><mixed-citation>
GEOTRACES: Particulate organic carbon (POC), Tech. rep., available at:
<a href="http://www.bodc.ac.uk/geotraces/" target="_blank">http://www.bodc.ac.uk/geotraces/</a> (last access: March 2017), RV Knorr
KN199-4, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib38"><label>GLOBALVIEW-CO22(2011)</label><mixed-citation>
GLOBALVIEW-CO<sub>2</sub>: Cooperative Atmospheric Data Integration Project – Carbon
Dioxide, Tech. rep., NOAA ESRL, Boulder Colorado,
available at:
<a href="https://www.esrl.noaa.gov/gmd/ccgg/globalview/co2/co2_download.html" target="_blank">https://www.esrl.noaa.gov/gmd/ccgg/globalview/co2/co2_download.html</a>,
2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib39"><label>Gruber et al.(2006)Gruber, Frenzel, Doney, Marchesiello, McWilliams,
Oram, Plattner, and Stolzenbach</label><mixed-citation>
Gruber, N., Frenzel, H., Doney, S. C., Marchesiello, P., McWilliams, J. C.,
Oram, J. R., Plattner, G. K., and Stolzenbach, K. D.: Eddy-resolving
simulation of plankton ecosystem dynamics in the California Current System,
Deep-Sea Res. Pt. I, 53, 1483–1516,
<a href="https://doi.org/10.1016/j.dsr.2006.06.005" target="_blank">https://doi.org/10.1016/j.dsr.2006.06.005</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib40"><label>Gruber et al.(2011)Gruber, Lachkar, Frenzel, Marchesiello,
Münnich, McWilliams, Nagai, and Plattner</label><mixed-citation>
Gruber, N., Lachkar, Z., Frenzel, H., Marchesiello, P., Münnich, M.,
McWilliams, J. C., Nagai, T., and Plattner, G.-K.: Eddy-induced reduction of
biological production in eastern boundary upwelling systems, Nat.
Geosci., 4, 787–792, <a href="https://doi.org/10.1038/ngeo1273" target="_blank">https://doi.org/10.1038/ngeo1273</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib41"><label>Hansell(2002)</label><mixed-citation>
Hansell, D. A.: DOC in the Global Ocean Carbon Cycle, chap. 15,
Biogeochemistry of marine dissolved organic matter, 685–714, Academic
Press – Elsevier, San Diego, California, USA,
2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib42"><label>Hansell and Carlson(2015)</label><mixed-citation>
Hansell, D. A. and Carlson, C. A.: Biogeochemistry of Marine Dissolved
Organic
Matter, 2nd Edn., Academic Press, San Diego, California, USA, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib43"><label>Hansell et al.(2009)Hansell, Carlson, Repeta, and
Schlitzer</label><mixed-citation>
Hansell, D. A., Carlson, C. A., Repeta, D., and Schlitzer, R.: Dissolved
Organic Matter in the Ocean: a controversy stimulates new insights,
Oceanography, 22, 202–211, <a href="https://doi.org/10.5670/oceanog.2009.109" target="_blank">https://doi.org/10.5670/oceanog.2009.109</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib44"><label>Haumann et al.(2016)</label><mixed-citation>
Haumann, F. A., Gruber, N., Münnich, M., Frenger, I., and Kern, S.:
Sea-ice
transport driving Southern Ocean salinity and its recent trends, Nature, 537,
89–92, <a href="https://doi.org/10.1038/nature19101" target="_blank">https://doi.org/10.1038/nature19101</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib45"><label>Hauri et al.(2013)Hauri, Gruber, Vogt, Doney, Feely, Lachkar,
Leinweber, McDonnell, Munnich, and Plattner</label><mixed-citation>
Hauri, C., Gruber, N., Vogt, M., Doney, S. C., Feely, R. A., Lachkar, Z.,
Leinweber, A., McDonnell, A. M. P., Munnich, M., and Plattner, G.-K.:
Spatiotemporal variability and long-term trends of ocean acidification in the
California Current System, Biogeosciences, 10, 193–216,
<a href="https://doi.org/10.5194/bg-10-193-2013" target="_blank">https://doi.org/10.5194/bg-10-193-2013</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib46"><label>Helmke et al.(2005)Helmke, Romero, and Fischer</label><mixed-citation>
Helmke, P., Romero, O., and Fischer, G.: Northwest African upwelling and its
effect on offshore organic carbon export to the deep sea, Global
Biogeochem. Cy., 19, GB4015, <a href="https://doi.org/10.1029/2004GB002265" target="_blank">https://doi.org/10.1029/2004GB002265</a>, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib47"><label>Hopkinson and Vallino(2005)</label><mixed-citation>
Hopkinson, S. and Vallino, J. J.: Efficient export of carbon to the deep
ocean
through dissolved organic matter, Nature, 433, 142–145,
<a href="https://doi.org/10.1038/nature03191" target="_blank">https://doi.org/10.1038/nature03191</a>, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib48"><label>Hwang et al.(2008)Hwang, Druffel, and Komada</label><mixed-citation>
Hwang, J., Druffel, E. R. M., and Komada, T.: Transport of organic carbon
from
the California coast to the slope region: A study of Δ<sup>14</sup>C and
Δ<sup>13</sup>C signatures of organic compound classes, Global
Biogeochem. Cy., 19, GB2017, <a href="https://doi.org/10.1029/2004GB002347" target="_blank">https://doi.org/10.1029/2004GB002347</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib49"><label>Inthorn et al.(2006a)Inthorn, Mohrholz, and Zabel</label><mixed-citation>
Inthorn, M., Mohrholz, V., and Zabel, M.: Nepheloid layer distribution in the
Benguela upwelling area offshore Namibia, Deep-Sea Res. Pt. I, 53, 1423–1438,
<a href="https://doi.org/10.1016/j.dsr.2006.06.004" target="_blank">https://doi.org/10.1016/j.dsr.2006.06.004</a>, 2006a.
</mixed-citation></ref-html>
<ref-html id="bib1.bib50"><label>Inthorn et al.(2006b)Inthorn, Wagner, Scheeder, and
Zabel</label><mixed-citation>
Inthorn, M., Wagner, T., Scheeder, G., and Zabel, M.: Lateral transport
controls distribution, quality and burial of organic matter along
ocontinental slopes in high-productivity areas, Geology, 34, 205–208,
<a href="https://doi.org/10.1130/G22153.1" target="_blank">https://doi.org/10.1130/G22153.1</a>, 2006b.
</mixed-citation></ref-html>
<ref-html id="bib1.bib51"><label>Johnson et al.(2009)Johnson, Boyer, Garcia, Locarnini, Baranova, and
Zweng</label><mixed-citation>
Johnson, D. R., Boyer, T. P., Garcia, H. E., Locarnini, R. A., Baranova,
O. K.,
and Zweng, M. M.: World Ocean Database 2009 Documentation, Tech. rep.,
Sydney Levitus, NODC Internal Report 20, NOAA Printing Office, Silver
Spring, MD, 175 pp., available at:
<a href="http://www.nodc.noaa.gov/OC5/WOD09/pr_wod09.html" target="_blank">http://www.nodc.noaa.gov/OC5/WOD09/pr_wod09.html</a>, 2009. </mixed-citation></ref-html>
<ref-html id="bib1.bib52"><label>Key et al.(2004)Key, Kozyr, Sabine, Lee, Wanninkhof, Bullister,
Feely, Millero, Mordy, and Peng</label><mixed-citation>
Key, R. M., Kozyr, A., Sabine, C. L., Lee, K., Wanninkhof, R., Bullister, J.,
Feely, R. A., Millero, F., Mordy, C., and Peng, T.-H.: A global ocean carbon
climatology: Results from GLODAP, Global Biogeochem. Cy., 18, GB4031,
<a href="https://doi.org/10.1029/2004GB002247" target="_blank">https://doi.org/10.1029/2004GB002247</a>, 2004.
</mixed-citation></ref-html>
<ref-html id="bib1.bib53"><label>Lachkar and Gruber(2011)</label><mixed-citation>
Lachkar, Z. and Gruber, N.: What controls biological production in coastal
upwelling systems? Insights from a comparative modeling study,
Biogeosciences, 8, 2961–2976, <a href="https://doi.org/10.5194/bg-8-2961-2011" target="_blank">https://doi.org/10.5194/bg-8-2961-2011</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib54"><label>Lachkar and Gruber(2013)</label><mixed-citation>
Lachkar, Z. and Gruber, N.: Response of biological production and air–sea
CO<sub>2</sub> fluxes to upwelling intensification in the California and Canary
Current Systems, J. Marine Syst., 109–110, 149–160,
<a href="https://doi.org/10.1016/j.jmarsys.2012.04.003" target="_blank">https://doi.org/10.1016/j.jmarsys.2012.04.003</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib55"><label>Landschützer et al.(2014)</label><mixed-citation>
Landschützer, P., Gruber, N., Bakker, D. C. E., and Schuster, U.: An
observation-based global monthly gridded sea surface <i>p</i>CO<sub>2</sub> product from 1998
through 2011 and its monthly climatology, Tech. rep., Carbon Dioxide
Information Analysis Center, Oak Ridge National Laboratory, US Department of
Energy, Oak Ridge, Tennessee,
<a href="10.3334/CDIAC/OTG.SPCO2_1998_2011_ETH_SOM-FFN" target="_blank">10.3334/CDIAC/OTG.SPCO2</a>,
2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib56"><label>Large et al.(1994)Large, McWilliams, and Doney</label><mixed-citation>
Large, W. G., McWilliams, J. C., and Doney, S. C.: Oceanic vertical mixing: A
review and a model with a nonlocal boundary layer parameterization, Rev. Geophys., 32, 363–403, <a href="https://doi.org/10.1029/94RG01872" target="_blank">https://doi.org/10.1029/94RG01872</a>, 1994.
</mixed-citation></ref-html>
<ref-html id="bib1.bib57"><label>Liu et al.(2010)</label><mixed-citation>
Liu, K. K., Atkinson, L., L., Quinones, R., and Talaue-McManus, L.: Carbon
and
Nutrient Fluxes in Continental Margins. A Global Synthesis, Global Change
–
The IGBP Series, Springer-Verlag Berlin Heidelberg, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib58"><label>Locarnini et al.(2013)Locarnini, Mishonov, Antonov, Boyer, Garcia,
Baranova, Zweng, Paver, Reagan, Johnson, Hamilton, and
Seidov</label><mixed-citation>
Locarnini, R. A., Mishonov, A. V., Antonov, J. I., Boyer, T. P., Garcia,
H. E.,
Baranova, O. K., Zweng, M. M., Paver, C. R., Reagan, J. R., Johnson, D. R.,
Hamilton, M., and Seidov, D.: World Ocean Atlas 2013, Volume 1: Temperature,
Tech. rep., S. Levitus, A. Mishonov Technical Ed.; NOAA Atlas NESDIS 73,
40 pp., available at:
<a href="http://data.nodc.noaa.gov/woa/WOA13/DOC/woa13_vol1.pdf" target="_blank">http://data.nodc.noaa.gov/woa/WOA13/DOC/woa13_vol1.pdf</a> (last access:
September 2004), 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib59"><label>Lumpkin and Johnson(2013)</label><mixed-citation>
Lumpkin, R. and Johnson, G. C.: Global Ocean Surface Velocities from
Drifters:
Mean, Variance, ENSO Response, and Seasonal Cycle, J. Geophys.
Res.-Oceans, 118, 2992–3006, <a href="https://doi.org/10.1002/jgrc.20210" target="_blank">https://doi.org/10.1002/jgrc.20210</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib60"><label>Mackas et al.(2006)Mackas, Strub, Thomas, and Montecino</label><mixed-citation>
Mackas, D. L., Strub, P. T., Thomas, A., and Montecino, V.: Eastern Ocean
Boundaries: Pan-Regional Overview, in: The Sea, The Global Coastal
Ocean, Harvard University Press, Cambridge, MA, USA, 14, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib61"><label>Mason et al.(2011)</label><mixed-citation>
Mason, E., Colas, F., Molemaker, J., Shchepetkin, A. F., Troupin, C.,
McWilliams, J. C., and Sangrà, P.: Seasonal variability of the Canary
Current: A numerical study, J. Geophys. Res.-Oceans, 116, C06001,
<a href="https://doi.org/10.1029/2010JC006665" target="_blank">https://doi.org/10.1029/2010JC006665</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib62"><label>Montégut et al.(2004)</label><mixed-citation>
Montégut, C. D. B., Madec, G., Fischer, A. S., Lazar, A., and Iudicone,
D.:
Mixed layer depth over the global ocean: An examination of profile data and a
profile-based climatology, J. Geophys. Res., 109, C12003,
<a href="https://doi.org/10.1029/2004JC002378" target="_blank">https://doi.org/10.1029/2004JC002378</a>, 2004.
</mixed-citation></ref-html>
<ref-html id="bib1.bib63"><label>Moore et al.(2004)Moore, Doney, and Lindsay</label><mixed-citation>
Moore, J. K., Doney, S. C., and Lindsay, K.: Upper ocean ecosystem dynamics
and
iron cycling in a global three-dimensional model, Global Biogeochem.
Cy., 18, GB4028, <a href="https://doi.org/10.1029/2004GB002220" target="_blank">https://doi.org/10.1029/2004GB002220</a>, 2004.
</mixed-citation></ref-html>
<ref-html id="bib1.bib64"><label>Nagai et al.(2015)Nagai, Gruber, Frenzel, Lachkar, McWilliams, and
Plattner</label><mixed-citation>
Nagai, T., Gruber, N., Frenzel, H., Lachkar, Z., McWilliams, J. C., and
Plattner, G.-K.: Dominant role of eddies and filaments in the offshore
transport of carbon and nutrients in the California Current System, J. Geophys. Res., 120, 5318–5341, <a href="https://doi.org/10.1002/2015JC010889" target="_blank">https://doi.org/10.1002/2015JC010889</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib65"><label>NASA-OB.DAAC(2010)</label><mixed-citation>
NASA-OB.DAAC: SeaWiFS Level-3 Mapped Particulate Organic Carbon Data Version
2014, S19972442010273.3m_mc_chl_chlor_a_9km.nc, NASA Goddard Space
Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group
(1997–2010),
<a href="https://doi.org/10.5067/ORBVIEW-2/SEAWIFS/L3M/POC/2014" target="_blank">https://doi.org/10.5067/ORBVIEW-2/SEAWIFS/L3M/POC/2014</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib66"><label>NASA-OBPG(2010)</label><mixed-citation>
NASA-OBPG: SeaWiFS Data Level-3 Standard Mapped Image,
S19972442010273.3m_mc_chl_chlor_a_9km.nc, NASA Goddard Space Flight
Center, Ocean Ecology Laboratory, Ocean Biology Processing Group (1997–2010),
available at: <a href="http://oceandata.sci.gsfc.nasa.gov" target="_blank">http://oceandata.sci.gsfc.nasa.gov</a> (last access: October
2015), 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib67"><label>Ohde et al.(2015)</label><mixed-citation>
Ohde, T., Fiedler, B., and Körtzinger, A.: Spatio-temporal distribution
and
transport of particulate matter in the eastern tropical North Atlantic
observed by Argo floats, Deep-Sea Res. Pt. I,
102, 26–42, <a href="https://doi.org/10.1016/j.dsr.2015.04.007" target="_blank">https://doi.org/10.1016/j.dsr.2015.04.007</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib68"><label>Pastor et al.(2013)Pastor, Palter, Pelegrí, and
Dunne</label><mixed-citation>
Pastor, M. V., Palter, J. B., Pelegrí, J. L., and Dunne, J. P.: Physical
drivers of interannual chlorophyll variability in the eastern subtropical
North Atlantic, J. Geophys. Res.-Oceans, 118, 3871–3886,
<a href="https://doi.org/10.1002/jgrc.20254" target="_blank">https://doi.org/10.1002/jgrc.20254</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib69"><label>Pelegrí et al.(2006)Pelegrí, Marrero-Díaz, and
Ratsimandresy</label><mixed-citation>
Pelegrí, J., Marrero-Díaz, A., and Ratsimandresy, A.: Nutrient
irrigation of the North Atlantic, Prog. Oceanogr., 70, 366–406,
<a href="https://doi.org/10.1016/j.pocean.2006.03.018" target="_blank">https://doi.org/10.1016/j.pocean.2006.03.018</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib70"><label>Pelegrí and Benazzouz(2015a)</label><mixed-citation>
Pelegrí, J. L. and Benazzouz, A.: Coastal Upwelling off Northwest Africa,
in: Oeanographic and biological features in the Canary Current Large Marine
Ecosystem, edited by: Váldes, L. and Déniz-González, I., chap. 3.4,
115–383, IOC-UNESCO,  Technical Series 115, 2015a.
</mixed-citation></ref-html>
<ref-html id="bib1.bib71"><label>Pelegrí and Peña-Izquierdo(2015b)</label><mixed-citation>
Pelegrí, J. L. and Peña-Izquierdo, J.: Eastern Boudary Currents off
Northwest Africa, in: Oeanographic and biological features in the Canary
Current Large Marine Ecosystem, edited by: Váldes, L. and
Déniz-González, I., chap. 3.3, 115–383, IOC-UNESCO, Technical
Series 115, 2015b.
</mixed-citation></ref-html>
<ref-html id="bib1.bib72"><label>Pelegrí et al.(2005)</label><mixed-citation>
Pelegrí, J. L., Arístegui, J., Cana, L., González-Dávila, M.,
Hernández-Guerra, A., Hernández-León, S., Montero, M. F.,
Sangrà, P., and Santana-Casiano, M.: Coupling between the open ocean and
the coastal upwelling region off northwest Africa: water recirculation and
offshore pumping of organic matter, J. Marine Syst., 54, 3–37,
<a href="https://doi.org/10.1016/j.jmarsys.2004.07.003" target="_blank">https://doi.org/10.1016/j.jmarsys.2004.07.003</a>, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib73"><label>Peliz et al.(2004)Peliz, Santos, Oliveira, and Dubert</label><mixed-citation>
Peliz, A., Santos, A. M. P., Oliveira, P. B., and Dubert, J.: Extreme
cross-shelf transport induced by eddy interactions southwest of Iberia in
winter 2001, Geophys. Res. Lett., 31, L08301,
<a href="https://doi.org/10.1029/2004GL019618" target="_blank">https://doi.org/10.1029/2004GL019618</a>, 2004.
</mixed-citation></ref-html>
<ref-html id="bib1.bib74"><label>Plattner et al.(2005)Plattner, Gruber, Frenzel, and
McWilliams</label><mixed-citation>
Plattner, G.-K., Gruber, N., Frenzel, H., and McWilliams, J. C.: Decoupling
marine export production from new production, Geophys. Res. Lett.,
32, l11612, <a href="https://doi.org/10.1029/2005GL022660" target="_blank">https://doi.org/10.1029/2005GL022660</a>, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib75"><label>Reynolds et al.(2007)Reynolds, Smith, Liu, Chelton, Casey, and
Schlax</label><mixed-citation>
Reynolds, R. W., Smith, T. M., Liu, C., Chelton, D. B., Casey, K. S., and
Schlax, M. G.: Daily High-Resolution-Blended analyses for sea surface
temperature, J. Climate, 20, 5473–5496,
<a href="https://doi.org/10.1175/2007JCLI1824.1" target="_blank">https://doi.org/10.1175/2007JCLI1824.1</a>, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib76"><label>Ridgway et al.(2002)Ridgway, Dunn, and Wilkin</label><mixed-citation>
Ridgway, K. R., Dunn, J. R., and Wilkin, J. L.: Ocean interpolation by
four-dimensional least squares: Application to the waters around Australia,
J. Atmos. Ocean, 19, 1357–1375,
<a href="https://doi.org/10.1175/1520-0426(2002)019&lt;1357:OIBFDW&gt;2.0.CO;2" target="_blank">https://doi.org/10.1175/1520-0426(2002)019&lt;1357:OIBFDW&gt;2.0.CO;2</a>,
2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib77"><label>Rio and Hernandez(2004)</label><mixed-citation>
Rio, M.-H. and Hernandez, F.: A mean dynamic topography computed over the
world
ocean from altimetry, in situ measurements, and a geoid model, J. Geophys.
Res, 109, C12032, <a href="https://doi.org/10.1029/2003JC002226" target="_blank">https://doi.org/10.1029/2003JC002226</a>, 2004.
</mixed-citation></ref-html>
<ref-html id="bib1.bib78"><label>Roussenov et al.(2006)Roussenov, Williams, Mahaffey, and
Wolff</label><mixed-citation>
Roussenov, V., Williams, R. G., Mahaffey, C., and Wolff, G. A.: Does the
transport of dissolved organic nutrients affect export production in the
Atlantic Ocean?, Global Biogeochem. Cy., 20, GB3002,
<a href="https://doi.org/10.1029/2005GB002510" target="_blank">https://doi.org/10.1029/2005GB002510</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib79"><label>Sangrà et al.(2009)Sangrà, Pascual, Rodríguez-Santana,
F.Machín, Mason, McWilliams, Pelegrí, Dong, Rubio, Arístegui,
Marrero-Díaz, Hernández-Guerra, Martínez-Marrero, and
Auladell</label><mixed-citation>
Sangrà, P., Pascual, A., Rodríguez-Santana, Á., F.Machín,
Mason, E., McWilliams, J. C., Pelegrí, J. L., Dong, C., Rubio, A.,
Arístegui, J., Marrero-Díaz, Á., Hernández-Guerra, A.,
Martínez-Marrero, A., and Auladell, M.: The Canary Eddy Corridor: A major
pathway for long-lived eddies in the subtropical North Atlantic, Deep-Sea
Res. Pt. I, 56, 2100–2114,
<a href="https://doi.org/10.1016/j.dsr.2009.08.008" target="_blank">https://doi.org/10.1016/j.dsr.2009.08.008</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib80"><label>Santana-Falcón et al.(2016)Santana-Falcón, Benavides,
Sangrà, Mason, Barton, Orbi, and Arístegui</label><mixed-citation>
Santana-Falcón, Y., Benavides, M., Sangrà, P., Mason, E., Barton,
E. D., Orbi, A., and Arístegui, J.: Coastal-offshore exchange of organic
matter across the Cape Ghir filament (NW Africa) during moderate upwelling,
J. Marine Syst., 154, 233–242,
<a href="https://doi.org/10.1016/j.jmarsys.2015.10.008" target="_blank">https://doi.org/10.1016/j.jmarsys.2015.10.008</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib81"><label>Sarmiento and Gruber(2006)</label><mixed-citation>
Sarmiento, J. L. and Gruber, N.: Ocean Biogeochemical Dynamics, Princeton
University Press, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib82"><label>Shchepetkin and McWilliams(2005)</label><mixed-citation>
Shchepetkin, A. F. and McWilliams, J. C.: The regional oceanic modeling
system
(ROMS): a split-explicit, topographic-following-coordinate oceanic model,
Ocean Model., 9, 347–404,
<a href="https://doi.org/10.1016/j.ocemod.2004.08.002" target="_blank">https://doi.org/10.1016/j.ocemod.2004.08.002</a>, 2005.

</mixed-citation></ref-html>
<ref-html id="bib1.bib83"><label>Shigemitsu et al.(2012)Shigemitsu, Okunishi, Nishioka, Sumata,
Hashioka, Aita, Smith, Yoshie, Okada, and Yamanaka</label><mixed-citation>
Shigemitsu, M., Okunishi, T., Nishioka, J., Sumata, H., Hashioka, T., Aita,
M. N., Smith, S. L., Yoshie, N., Okada, N., and Yamanaka, Y.: Development of
a one-dimensional ecosystem model including the iron cycle applied to the
Oyashio region, western subarctic Pacific, J. Geophys. Res.-Oceans, 117, c06021, <a href="https://doi.org/10.1029/2011JC007689" target="_blank">https://doi.org/10.1029/2011JC007689</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib84"><label>Steele et al.(1989)Steele, Mellor, and Mcphee</label><mixed-citation>
Steele, M., Mellor, G. L., and Mcphee, M. G.: Role of the Molecular Sublayer
in
the Melting or Freezing of Sea Ice, J. Phys. Oceanogr., 19,
139–147, <a href="https://doi.org/10.1175/1520-0485(1989)019&lt;0139:ROTMSI&gt;2.0.CO;2" target="_blank">https://doi.org/10.1175/1520-0485(1989)019&lt;0139:ROTMSI&gt;2.0.CO;2</a>, 1989.
</mixed-citation></ref-html>
<ref-html id="bib1.bib85"><label>Torres-Valdés et al.(2009)Torres-Valdés, Roussenov, Sanders,
Reynolds, Pan, Mather, Landolfi, Wolff, Achterberg, and
Williams</label><mixed-citation>
Torres-Valdés, S., Roussenov, V. M., Sanders, R., Reynolds, S., Pan, X.,
Mather, R., Landolfi, A., Wolff, G. A., Achterberg, E. P., and Williams,
R. G.: Distribution of dissolved organic nutrients and their effect on export
production over the Atlantic Ocean, Global Biogeochem. Cy., 23,
<a href="https://doi.org/10.1029/2008GB003389" target="_blank">https://doi.org/10.1029/2008GB003389</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib86"><label>Turi et al.(2014)Turi, Lachkar, and Gruber</label><mixed-citation>
Turi, G., Lachkar, Z., and Gruber, N.: Spatiotemporal variability and drivers
of <i>p</i>CO<sub>2</sub> and air–sea CO<sub>2</sub> fluxes in the California Current System: an
eddy-resolving modeling study, Biogeosciences, 11, 671–690,
<a href="https://doi.org/10.5194/bg-11-671-2014" target="_blank">https://doi.org/10.5194/bg-11-671-2014</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib87"><label>Váldes and Déniz-González(2015)</label><mixed-citation>
Váldes, L. and Déniz-González, I.: Introduction, in: Oeanographic
and biological features in the Canary Current Large Marine Ecosystem, edited
by: Váldes, L. and Déniz-González, I., chap. 1, 115–383,
IOC-UNESCO,  Technical Series 115, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib88"><label>Walsh(1991)</label><mixed-citation>
Walsh, J. J.: Importance of continental margins in the marine biogeochemical
cycling of carbon and nitrogen, Nature, 350, 53–55, <a href="https://doi.org/10.1038/350053a0" target="_blank">https://doi.org/10.1038/350053a0</a>,
1991.
</mixed-citation></ref-html>
<ref-html id="bib1.bib89"><label>Westberry et al.(2008)Westberry, Behrenfeld, Siegel, and Boss</label><mixed-citation>
Westberry, T., Behrenfeld, M. J., Siegel, D. A., and Boss, E.: Carbon-based
primary productivity modeling with vertically resolved photoacclimation,
Global Biogeochem. Cy., 22, GB2024, <a href="https://doi.org/10.1029/2007GB003078" target="_blank">https://doi.org/10.1029/2007GB003078</a>,
2008 (seaWiFS
VGPM available at:
<a href="http://orca.science.oregonstate.edu/1080.by.2160.monthly.hdf.cbpm2.s.php" target="_blank">http://orca.science.oregonstate.edu/1080.by.2160.monthly.hdf.cbpm2.s.php</a>, (last access: August 2015), 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib90"><label>Williams et al.(2013)Williams, Quay, Westberry, and
Behrenfeld</label><mixed-citation>
Williams, P. J. L. B., Quay, P. D., Westberry, T. K., and Behrenfeld, M. J.:
The Oligotrophic Ocean Is Autotrophic, Annu. Rev. Mar. Sci., 5,
535–549, <a href="https://doi.org/10.1146/annurev-marine-121211-172335" target="_blank">https://doi.org/10.1146/annurev-marine-121211-172335</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib91"><label>Zweng et al.(2013)Zweng, Reagan, Antonov, Locarnini, Mishonov, Boyer,
Garcia, Baranova, Johnson, and D. Seidov</label><mixed-citation>
Zweng, M., Reagan, J. R., Antonov, J. I., Locarnini, R. A., Mishonov, A. V.,
Boyer, T. P., Garcia, H. E., Baranova, O. K., Johnson, D. R., and Seidov,
M. M. B.: World Ocean Atlas 2013, Volume 2: Salinity, Tech. rep., S. Levitus, A. Mishonov Technical Ed., NOAA Atlas NESDIS 74, 39 pp., available at:
<a href="http://data.nodc.noaa.gov/woa/WOA13/DOC/woa13_vol2.pdf" target="_blank">http://data.nodc.noaa.gov/woa/WOA13/DOC/woa13_vol2.pdf</a> (last access:
September 2014), 2013.
</mixed-citation></ref-html>--></article>
