<?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">OS</journal-id>
<journal-title-group>
<journal-title>Ocean Science</journal-title>
<abbrev-journal-title abbrev-type="publisher">OS</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Ocean Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1812-0792</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>

    <article-meta>
      <article-id pub-id-type="doi">10.5194/os-13-649-2017</article-id><title-group><article-title>A measurement system for vertical seawater<?xmltex \hack{\newline}?> profiles close to the air–sea
interface</article-title>
      </title-group><?xmltex \runningtitle{A measurement system for vertical seawater profiles}?><?xmltex \runningauthor{R.~P.~Sims et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Sims</surname><given-names>Richard P.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Schuster</surname><given-names>Ute</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Watson</surname><given-names>Andrew J.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-9654-8147</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname> Yang</surname><given-names>Ming Xi</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Hopkins</surname><given-names>Frances E.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Stephens</surname><given-names>John</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Bell</surname><given-names>Thomas G.</given-names></name>
          <email>tbe@pml.ac.uk</email>
        <ext-link>https://orcid.org/0000-0002-4108-7048</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Plymouth Marine Laboratory, Plymouth, UK</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>University of Exeter, Exeter, UK</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Thomas G. Bell (tbe@pml.ac.uk)</corresp></author-notes><pub-date><day>4</day><month>September</month><year>2017</year></pub-date>
      
      <volume>13</volume>
      <issue>5</issue>
      <fpage>649</fpage><lpage>660</lpage>
      <history>
        <date date-type="received"><day>24</day><month>February</month><year>2017</year></date>
           <date date-type="rev-request"><day>16</day><month>March</month><year>2017</year></date>
           <date date-type="rev-recd"><day>15</day><month>July</month><year>2017</year></date>
           <date date-type="accepted"><day>17</day><month>July</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://os.copernicus.org/articles/.html">This article is available from https://os.copernicus.org/articles/.html</self-uri>
<self-uri xlink:href="https://os.copernicus.org/articles/.pdf">The full text article is available as a PDF file from https://os.copernicus.org/articles/.pdf</self-uri>


      <abstract>
    <p>This paper describes a near-surface ocean profiler, which
has been designed to precisely measure vertical gradients in the top 10 m of
the ocean. Variations in the depth of seawater collection are minimized when
using the profiler compared to conventional CTD/rosette deployments. The
profiler consists of a remotely operated winch mounted on a tethered yet free-floating buoy, which is used to raise and lower a small frame housing sensors
and inlet tubing. Seawater at the inlet depth is pumped back to the ship for
analysis. The profiler can be used to make continuous vertical profiles or to
target a series of discrete depths. The profiler has been successfully
deployed during wind speeds up to 10 m s<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> and significant wave
heights up to 2 m. We demonstrate the potential of the profiler by
presenting measured vertical profiles of the trace gases carbon dioxide and
dimethylsulfide. Trace gas measurements use an efficient microporous membrane
equilibrator to minimize the system response time. The example profiles show
vertical gradients in the upper 5 m for temperature, carbon dioxide and
dimethylsulfide of 0.15 <inline-formula><mml:math id="M2" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C, 4 <inline-formula><mml:math id="M3" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>atm and 0.4 nM
respectively.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>Exchange between the ocean and atmosphere is an important process for many
gases. Important examples include carbon dioxide (CO<inline-formula><mml:math id="M4" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, for which the
oceans account for 25 % of the sink for anthropogenic emissions (Le
Quéré et al., 2016), and dimethylsulfide (DMS), which has an oceanic
source and influences cloud properties with implications for the global
energy balance (Quinn and Bates, 2011). The magnitude and direction of
air–sea gas transfer is typically represented by Flux <inline-formula><mml:math id="M5" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mi>K</mml:mi><mml:mi mathvariant="normal">Δ</mml:mi></mml:mrow></mml:math></inline-formula>C (Liss and
Slater, 1974), where <inline-formula><mml:math id="M6" display="inline"><mml:mi mathvariant="normal">Δ</mml:mi></mml:math></inline-formula>C is the concentration difference across the
air–sea interface and <inline-formula><mml:math id="M7" display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula> is the gas transfer velocity. Direct flux
measurements (Bell et al., 2013; Yang et al., 2013; Miller et al., 2010) are
only possible for a small number of gases and are not made routinely. Most
flux estimates use a wind-speed-based parameterization of <inline-formula><mml:math id="M8" display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula> (e.g.
Wanninkhof, 2014) coupled with measurements of <inline-formula><mml:math id="M9" display="inline"><mml:mi mathvariant="normal">Δ</mml:mi></mml:math></inline-formula>C.</p>
      <p>CO<inline-formula><mml:math id="M10" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> is the most well-observed trace gas in the surface ocean, with 14.5
million measurements compiled into a global database, the Surface Ocean
CO<inline-formula><mml:math id="M11" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> Atlas (SOCAT), <uri>http://www.socat.info/</uri> (Bakker et al., 2016).
Global trace gas databases also exist for gases such as methane and nitrous
oxide <uri>https://memento.geomar.de/</uri> (Bange et al., 2009), dimethylsulfide
<uri>http://saga.pmel.noaa.gov/dms/</uri> (Lana et al., 2011) and halocarbons
<uri>https://halocat.geomar.de/</uri> (Ziska et al., 2013). Accurate estimation of
air–sea flux requires concentration measurements that are representative of
the interfacial concentration difference. Surface seawater samples are often
collected from the underway seawater intake of research vessels, typically at
5–7 m depth. A source of potential error in air–sea flux calculations
arises from the assumption of vertical homogeneity within the mixed layer
(Robertson and Watson, 1992). If vertical concentration gradients exist in
the mixed layer, then underway seawater is not representative of the
interfacial layer, which could create a global sampling bias (McNeil and
Merlivat, 1996).</p>
      <p>Vertical gradients in trace gas concentrations have been observed under
conditions that are favourable for near-surface stratification (Royer et al.,
2016). At low wind speeds, high solar irradiance can suppress the depth of
shear-induced mixing to create a near-surface layer several degrees warmer
than the water below (Ward et al., 2004; Fairall et al., 1996). Near-surface
stratification in the marine environment can also be induced by freshwater
inputs such as rain (Turk et al., 2010) and riverine discharge. Changes in
surface seawater temperature and salinity alter the solubility of dissolved
gases and thus the amount available for air–sea exchange (Woolf et al.,
2016). Dissolved gases isolated in the upper few metres of the ocean may
additionally be modified by physical processes such as air–sea exchange and
photochemistry. Marine biota confined within the stratified layer (Durham et
al., 2009) can also alter trace gas concentrations. For the purposes of this
paper, near-surface gradients are defined as physical and/or chemical
gradients in the upper 10 m of the ocean.</p>
      <p>Identifying and quantifying near-surface gradients in trace gas
concentrations is challenging. Ship motion often inhibits near-surface
measurements made with the standard oceanographic approach of sampling with
Niskin bottles mounted on a CTD rosette. Substantial vertical movement of the
rosette limits how close to the surface a sample can be taken. For example, a
crane arm 4 m above the sea surface and 11 m from the centreline of a ship
that is rolling by <inline-formula><mml:math id="M12" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>4<inline-formula><mml:math id="M13" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> will induce <inline-formula><mml:math id="M14" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1.5 m sample depth
variation every few seconds. CTD/Niskin bottle sampling requires that the
rosette is kept below the sea surface. Sampling within 2 m of the sea
surface is often impossible, even under relatively calm conditions.</p>
      <p>We present a near-surface ocean profiling buoy (NSOP) designed for measuring
near-surface profiles. The design principles for NSOP were as follows:
<list list-type="order"><list-item><p>platform diameter less than the wavelength of most open ocean waves,
allowing it to ride the swell;</p></list-item><list-item><p>short sampling arm close to the sea surface to reduce vertical movements
induced by platform motion;</p></list-item><list-item><p>capable of deployment close to the ship (to retrieve water for trace gas
analysis), but away from major turbulence and motion due to the ship itself.</p></list-item></list></p>
      <p>Example profiles from a cruise on the European continental shelf (RRS
<italic>Discovery</italic>, DY033, July 2015) and in the English Channel on board the
RV <italic>Plymouth Quest</italic> (part of the Western Channel Observatory; Smyth et
al. 2010, April 2014) are discussed.</p>
</sec>
<sec id="Ch1.S2">
  <title>Methods</title>
<sec id="Ch1.S2.SS1">
  <title>NSOP description</title>
      <p>NSOP is a repurposed ocean buoy (1.6 m diameter) with a central lifting
eyelet (Fig. 1). The top of the buoy is 0.5 m above the sea surface. Mounted
on top of the buoy are a line of sight, remotely operated winch (Warrior
Winch, model C8000) and a gel battery (Haze, model HZY-S112-230). The winch
feeds Kevlar rope through a block and tackle with a <inline-formula><mml:math id="M15" display="inline"><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> ratio to reduce
rope pay-out speed to <inline-formula><mml:math id="M16" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.05 m s<inline-formula><mml:math id="M17" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. The block and tackle is
attached to the end of an outstretched arm 0.25 m from the outer edge of the
buoy. The winch line is attached to an open frame (0.35 m diameter, 0.8 m
height) with the capacity to house multiple sensors. Desired sampling depth
is targeted using knowledge of the winch pay-out speed. Rope pay-out is then
timed with a stopwatch. This approach only approximately regulates the
sampling depth because (i) winch pay-out varies slightly depending on the
amount of rope on the spool and (ii) variable horizontal current strength
affects the vertical versus horizontal position of the sampling frame. To
minimize horizontal movement of the sampling frame we attached a 10 kg
weight to the base of the frame.</p>
      <p>The primary sensor on the sampling frame is a small CTD (Valeport miniCTD)
set to sample at a high frequency (&gt; 1 Hz). Under calm
conditions it is possible to sample as close as 0.1 m from the air–sea
interface when the miniCTD and tubing are mounted near the top of the frame.
Rougher conditions demand that the frame be kept deeper (<inline-formula><mml:math id="M18" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.5 m) as
motion can momentarily bring the sensors and tubing out of the water. An
emergency tag line was attached to the sampling frame in case the winch line
failed. Seawater for trace gas analysis was pumped back to the ship at
3.5 L min<inline-formula><mml:math id="M19" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> through a 50 m PVC hose (0.5 in inner diameter). A heavy-duty peristaltic pump (Watson Marlow, model 701IB/R) primed with water from
the ship's underway supply was used to overcome the large hydraulic head
(<inline-formula><mml:math id="M20" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 4 m). The open end of the tubing was located at the same depth as
the miniCTD. Water arriving to the ship's laboratory was divided, with
<inline-formula><mml:math id="M21" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 3.0 L min<inline-formula><mml:math id="M22" 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 flow-through analysis (e.g. equilibrator for
trace gases) and <inline-formula><mml:math id="M23" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.5 L min<inline-formula><mml:math id="M24" 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 discrete samples (e.g. total
alkalinity).</p>
      <p>We assessed the depth resolution capability of NSOP at a particular depth by
looking at pressure variations under calm conditions with a fixed amount of
winch rope paid out. In calm to moderate conditions (&lt; 2.5 m
significant wave height) the amount of vertical movement indicated by the
standard deviation (SD) in the depth is <inline-formula><mml:math id="M25" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.18 m (Fig. S1, Supplement).
During four deployments in rough conditions (&gt; 2.5 m significant
wave height), the depth variability increased as the sampling frame was
lowered (at 5 m, SD was <inline-formula><mml:math id="M26" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.275 m).</p>
</sec>
<sec id="Ch1.S2.SS2">
  <title>NSOP deployment</title>
      <p>On a large research vessel such as the RRS <italic>Discovery</italic>, the deployment
and recovery of NSOP requires close coordination between the bridge and three
personnel on deck. The NSOP was always deployed while the ship was on station and
not at the same time as other overboard deployments. Ship orientation during
deployments was typically with bow into the wind but also accounted for swell
and current direction/speed. The NSOP was lifted by the aft crane (Fig. 1). Once the
NSOP had been lowered to the surface it was detached from the crane via a quick
release. Two slack lines were looped through eyelets on the free-floating
NSOP to maintain its position close to the ship. A third slack line was
connected to the top of the buoy and passed through a block on a fully
extended crane arm of 7 m to maintain this distance between NSOP and the
ship. The slack lines successfully inhibited the tendency of NSOP to drift
horizontally without disrupting its ability to ride the swell. The instrument
frame acted like a sea anchor and minimized rotation of NSOP. A 4 m lifting
strop used for recovery was connected to the lifting eyelet and loosely
lashed to the aft slack line. During retrieval, the slack lines were hauled
in and the crane and jib arms brought towards the ship to bring NSOP
alongside. The lifting strop was then parted from the slack line and attached
to the crane to lift NSOP back on deck. For additional photographs of a NSOP
deployment and videos of NSOP during a deployment and in operation see
Fig. S2 and videos.</p>
      <p>Turbulence from the ship's propellers has the potential to mix the water
column and destroy any near-surface gradients. The ship did not use the aft
thrusters whenever conditions were suitable (mild sea state, weak currents
and no local hazards). Keeping the NSOP away from the ship limited disruption of
near-surface gradients by the thrusters and reduced the risk of line
entanglement in the aft propellers. Our winch did not have a groove bar to
feed the rope onto the winch drum, leading to an increased likelihood of
snagging during spooling. To minimize snagging, the rope was manually fed
onto the winch spool before deployments. Visual monitoring of the NSOP
frame, slack lines and winch spool is important during deployment.</p>
      <p>The NSOP has been successfully deployed in “moderate” sea states up to Beaufort
force 5 (<inline-formula><mml:math id="M27" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 10 m s<inline-formula><mml:math id="M28" 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> wind speed and wave heights of
<inline-formula><mml:math id="M29" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 2.0 m). Deployment length typically varied from 1 to 3 h.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1"><caption><p>Different points of view of an NSOP deployment: <bold>(a)</bold> image
from a deployment on RRS <italic>Discovery</italic> in May 2015 (Cruise DY030),
<bold>(b)</bold> schematic cross section of NSOP including tubing back to ship
(purple) and slack lines (red), and <bold>(c)</bold> top-down schematic from a
research ship including ship orientation. Not to scale.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://os.copernicus.org/articles/13/649/2017/os-13-649-2017-f01.jpg"/>

        </fig>

      <p>The NSOP can be used in two profiling modes: “continuous” and “discrete”.
Continuous profiling maximizes vertical coverage and involves the winch
continuously paying rope in and out at <inline-formula><mml:math id="M30" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.05 m s<inline-formula><mml:math id="M31" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. A complete
down/up profile to 10 m can be conducted in approximately 7 min.
Depth resolution during continuous profiling
is determined by the measurement response time. Instruments with rapid
response times such as the miniCTD temperature and conductivity sensors (0.15
and 0.09 s) have theoretical depth resolutions of 0.75 and 0.45 cm
respectively. Actual depth resolution will also be affected by the sampling
depth variability of the NSOP instrument frame. A measurement setup with a
longer response time (such as for seawater CO<inline-formula><mml:math id="M32" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> requires a different
approach (see Sect. 2.5).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><caption><p>CO<inline-formula><mml:math id="M33" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> system schematic. Solid and dashed arrows correspond to
gas and water flows respectively. The LI-COR reference cell is flushed with
equilibrated gas at 100 mL min<inline-formula><mml:math id="M34" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. A manual selection valve was used
to switch between equilibrated gas and the CO<inline-formula><mml:math id="M35" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> standards.</p></caption>
          <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://os.copernicus.org/articles/13/649/2017/os-13-649-2017-f02.jpg"/>

        </fig>

      <p>During discrete profiling, the winch pays out a fixed amount of rope
(typically 0.5 m) and the sampling frame is left at a fixed depth. After a
fixed sampling period, more rope is paid out. The process is repeated down
and then up such that a set of discrete depths are sampled in a “stepped”
profile. The discrete profiling depth resolution is determined by the depth
fluctuations when sampling at a fixed depth (see Sect. 2.1). Discrete
profiles are a more appropriate approach for measurement systems with a
longer response time. A discrete profile with 0.5 m steps down to 5 m and
back to the surface using a 2.5 min sampling period takes about an hour. The
sampling period at each depth and frequency/distribution of depths within the
profile can be adjusted to suit sampling priorities.</p>
      <p>The maximum deployment time is limited by the capacity of the winch battery.
When under no load, the battery allows for approximately 3 h of operation in
the continuous mode. Discrete profiling requires substantially less winch
usage such that battery drainage is even less of a concern.</p>
</sec>
<sec id="Ch1.S2.SS3">
  <?xmltex \opttitle{CO${}_{{2}}$ analysis}?><title>CO<inline-formula><mml:math id="M36" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> analysis</title>
      <p>The CO<inline-formula><mml:math id="M37" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> measurement system (Fig. 2) is a modified version of the system
described by Hales et al. (2004). Seawater from the NSOP inlet was passed
through the equilibrator (see Sect. 2.3.1) at <inline-formula><mml:math id="M38" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 3 L min<inline-formula><mml:math id="M39" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> and
the flow rate monitored (Cynergy ultrasonic flow meter, model UF25B). A
compressed nitrogen gas supply, maintained at a constant flow rate of
100 mL min<inline-formula><mml:math id="M40" 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> (Bronkhurst mass flow controller, model F-201-CV-100)
flows through the equilibrator in the opposite direction to the seawater
flow. The gas has high water vapour content after equilibration and is dried
(Permapure nafion dryer, model MD-110-48S-4). The dried sample then enters
the analytical cell of a NDIR LI-COR 7000, which is protected with a
0.2 <inline-formula><mml:math id="M41" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m filter (Pall, Acro 50).</p>
      <p>CO<inline-formula><mml:math id="M42" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> measurements at atmospheric pressure as recommended by Dickson et
al. (2007) were not possible due to the nature of the experimental setup. The
continuous gas flow through the system caused a small 0.4 kPa pressure
increase in the LI-COR measurement cell; this was in good agreement with a
similar observation by B. Hales (0.5 kpa &gt; ambient pressure;
personal communication, 2014). The elevated pressure was taken to be representative
of the equilibrator pressure and was used to obtain the partial pressure of
CO<inline-formula><mml:math id="M43" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> in the equilibrator (<inline-formula><mml:math id="M44" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>CO<inline-formula><mml:math id="M45" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>(</mml:mo><mml:mi mathvariant="normal">eq</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>.</p>
      <p>The LI-COR was calibrated using three CO<inline-formula><mml:math id="M46" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> standard gases before and after
each NSOP deployment. The concentrations of the standard gases (BOC Ltd)
were determined by referencing against US National Oceanic and Atmospheric
Administration certified standards (244.91, 388.62, 444.40 ppm) in the
laboratory. The seawater temperature at the entry and exit ports of the
equilibrator was recorded at 1 Hz (Omega ultra-precise <inline-formula><mml:math id="M47" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> DIN immersion
RTD) using stackable microcontrollers (Tinkerforge master brick 2.1 and PTC
bricklet). Equilibrator temperature probes and the miniCTD temperature sensor
were calibrated before and after each cruise against an accurate reference
sensor (Fluke, model 5616-12, <inline-formula><mml:math id="M48" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.011 <inline-formula><mml:math id="M49" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) in a stable water bath
(Fluke 7321).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><caption><p>Liqui-Cel CO<inline-formula><mml:math id="M50" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> equilibration efficiency (Liqui-Cel mixing
ratio/showerhead mixing ratio) for <bold>(a)</bold> changing gas flow at a fixed
water flow rate of 4 L min<inline-formula><mml:math id="M51" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> and <bold>(b)</bold> changing water flow
at a fixed gas flow of 100 mL min<inline-formula><mml:math id="M52" 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>. Blue: unfouled
equilibrator. Red: fouled equilibrator.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://os.copernicus.org/articles/13/649/2017/os-13-649-2017-f03.jpg"/>

        </fig>

<sec id="Ch1.S2.SS3.SSSx1" specific-use="unnumbered">
  <title>Equilibrator</title>
      <p>The showerhead equilibrator is the most commonly used equilibrator for
CO<inline-formula><mml:math id="M53" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> but takes <inline-formula><mml:math id="M54" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 100 s to equilibrate (Dickson et al., 2007;
Kitidis et al., 2012; Körtzinger et al., 2000; Webb et al., 2016). This
equilibration time is too slow for effective use during NSOP deployments. We
used a polypropylene membrane equilibrator (Liqui-Cel, model
2.5 <inline-formula><mml:math id="M55" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 8) with liquid and gas volumes of 0.4 and 0.15 L and a
surface area of 1.4 m<inline-formula><mml:math id="M56" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>. Due to its large surface area to volume ratio
and membrane porosity (50 %), the Liqui-Cel expedites gas transfer and
efficiently achieves equilibration (Loose et al., 2009), with a 3 s response
time for CO<inline-formula><mml:math id="M57" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> (Hales et al., 2004). Membrane equilibrators have been used
by others for trace gas analysis (Hales et al., 2004; Marandino et al.,
2009).</p>
      <p>Fugacity of seawater CO<inline-formula><mml:math id="M58" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> is calculated from the LI-COR gas phase CO<inline-formula><mml:math id="M59" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>
measurement. This approach assumes that the gas phase sample has equilibrated
fully with the seawater. We performed equilibration efficiency experiments in
a seawater tank using a showerhead equilibrator as a reference. Liqui-Cel
equilibration efficiency declined after prolonged exposure to seawater, likely
due to biofouling of the membranes. In a fouled equilibrator, equilibration
efficiency was a function of the flow rate on both the water and gas side of
the membrane. An increased gas flow rate reduces the residence time inside
the Liqui-Cel and allows less time to equilibrate (Fig. 3a). Increasing the
waterside flow rate moves the gas phase closer to equilibrium because the
transfer coefficient in the membrane increases (Fig. 3b).</p>
      <p>Cleaning with an acid–base sequence restored the efficiency of a fouled
equilibrator. It was necessary to actively pump chemicals through the
Liqui-Cel to achieve a full recovery in efficiency. For more details on
cleaning techniques, see Supplement. Efficiency reductions in
membrane equilibrators like the Liqui-Cel have not been reported by previous
studies. Some authors have used 5–50 <inline-formula><mml:math id="M60" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m filters to minimize
biofouling (Hales et al., 2004) but this was not possible with the NSOP
experimental design. If filtering seawater is not possible, we recommend
flushing with freshwater after use, regular cleaning of the Liqui-Cel and
daily tests to quantify equilibration efficiency. Trace gas measurement
systems that use an internal liquid phase standard (e.g. dimethylsulfide,
Sect. 2.4) account for any changes in equilibrator efficiency.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><caption><p>Instrument responses to step changes in seawater CO<inline-formula><mml:math id="M61" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> (blue)
and DMS (magenta). Step changes from 350 to 400 <inline-formula><mml:math id="M62" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>atm for CO<inline-formula><mml:math id="M63" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>
and 0 to 2 nmol L<inline-formula><mml:math id="M64" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> for DMS have been scaled down so that the
initial and end concentrations are between 0 and 1. Time is referenced
against the point when the step change was initiated. The response is seen in
both instruments after a delay of 138 s (black dashed line). Two <inline-formula><mml:math id="M65" display="inline"><mml:mi>e</mml:mi></mml:math></inline-formula>-foldings
are indicated by vertical dashed lines for CO<inline-formula><mml:math id="M66" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> (blue) and DMS
(magenta). The data points marked by circles were used to make an exponential
fit to the data to determine the response time (Sect. 2.5).</p></caption>
            <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://os.copernicus.org/articles/13/649/2017/os-13-649-2017-f04.png"/>

          </fig>

</sec>
</sec>
<sec id="Ch1.S2.SS4">
  <title>DMS analysis</title>
      <p>DMS was measured with atmospheric pressure chemical ionization mass
spectrometry (API-CIMS), using a system modified following Saltzman et
al. (2009). Measurements were calibrated using an isotopic liquid standard of
tri-deuterated DMS (see Bell et al., 2013 for details). Isotopic standard was
injected at 120 <inline-formula><mml:math id="M67" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>L min<inline-formula><mml:math id="M68" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> into the 3 L min<inline-formula><mml:math id="M69" 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> seawater
flow from NSOP before it entered the Liqui-Cel equilibrator. Compressed
nitrogen gas was passed through the equilibrator in the counter direction to
the seawater flow at 1 L min<inline-formula><mml:math id="M70" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. The use of an internal standard meant
that any incomplete equilibration of the ambient non-isotopic DMS was also
true for the isotope. The gas stream exited the equilibrator and was dried
(Permapure nafion dryer, model MD-110-48S-4) before entering the mass
spectrometer for analysis. DMS was detected at <inline-formula><mml:math id="M71" display="inline"><mml:mrow><mml:mi>m</mml:mi><mml:mo>/</mml:mo><mml:mi>z</mml:mi></mml:mrow></mml:math></inline-formula> (mass/charge) 63 and the
isotopic standard detected at <inline-formula><mml:math id="M72" display="inline"><mml:mrow><mml:mi>m</mml:mi><mml:mo>/</mml:mo><mml:mi>z</mml:mi></mml:mrow></mml:math></inline-formula> 66. The concentration of DMS was
calculated using the ion signals and relevant flow rates (Bell et al., 2015).
This approach has been shown to compare well with other analytical techniques
for DMS (Royer et al., 2014; Walker et al., 2016).</p>
</sec>
<sec id="Ch1.S2.SS5">
  <title>NSOP delay and response time</title>
      <p>We used different approaches to assess the delay between instantaneous
miniCTD measurements and water arriving to the ship for analysis. The delay
between seawater entering the inlet and reaching the equilibrator was
calculated as 114 s using the internal volume of NSOP tubing (0.5 in inner
diameter, 54 m length) and a seawater flow rate of 4.15 L min<inline-formula><mml:math id="M73" 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>.
Delay correlation analysis between the NSOP miniCTD temperature sensor and a
second sensor positioned at the entrance to the equilibrator gives a similar
delay of 112 s. Note that the total delay of the system is greater because
it also includes the time that equilibrated gas takes to reach the LI-COR. We
determined the total delay by  transferring the seawater inlet quickly
between two buckets with distinctly different CO<inline-formula><mml:math id="M74" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> concentrations and
timing how long it took for the signal to be detected by the LI-COR (139 s;
Fig. 4).</p>
      <p>The response time of the NSOP setup was determined by simulating step changes
in gas concentrations. A model fit to the exponential change in signal was
used to estimate the response time (Fig. 4). We estimate the system response
time (<inline-formula><mml:math id="M75" display="inline"><mml:mi>e</mml:mi></mml:math></inline-formula>-folding time) for CO<inline-formula><mml:math id="M76" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> as 24 s, which is slightly faster than
the 34 s reported by Webb et al. (2016). The <inline-formula><mml:math id="M77" display="inline"><mml:mi>e</mml:mi></mml:math></inline-formula>-folding time in the DMS
signal is estimated as 11 s, which is consistent with the rapid gas flow
rate through the analytical system.</p>
      <p>Continuous profiling with the CO<inline-formula><mml:math id="M78" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> system and a 24 s response time
yields a depth resolution of 1.2 m, which is greater than the required
resolution to assess near-surface gradients. DMS has a faster response time
than CO<inline-formula><mml:math id="M79" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, but in continuous profiling mode this only translates to a
depth resolution of 0.6 m, slightly less than the 1.2–2 m reported by
Royer et al. (2014). A depth resolution of &lt; 0.5 m was desired to
capture upper ocean vertical gradients in CO<inline-formula><mml:math id="M80" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and DMS so NSOP was
operated in discrete profiling mode.</p>
</sec>
<sec id="Ch1.S2.SS6">
  <title>Data processing</title>
      <p>During discrete profiling, distinct sample depths were identified from the
rapid changes in pressure during depth transitions. Data were binned into
discrete depth bins using CTD pressure measurements. Trace gas data were
assigned to depth bins after adjusting for the calculated transit time
through the NSOP tubing (Sect. 2.5). CO<inline-formula><mml:math id="M81" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> data from the beginning
(2 <inline-formula><mml:math id="M82" display="inline"><mml:mi>e</mml:mi></mml:math></inline-formula>-foldings <inline-formula><mml:math id="M83" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> 15 s buffer <inline-formula><mml:math id="M84" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 63 s) and end (15 s buffer) of each
depth bin was excluded from analysis to account for the response time of the
system and the transition time between sample depths. The same approach was
taken for DMS, where the faster response time resulted in a smaller portion
of data excluded at the beginning of each depth bin (2 <inline-formula><mml:math id="M85" display="inline"><mml:mi>e</mml:mi></mml:math></inline-formula>-foldings <inline-formula><mml:math id="M86" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> 15 s
buffer <inline-formula><mml:math id="M87" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 37 s).</p>
      <p>The CO<inline-formula><mml:math id="M88" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> mixing ratio (xCO<inline-formula><mml:math id="M89" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> measured in the LI-COR is converted to
equilibrator fugacity (<inline-formula><mml:math id="M90" display="inline"><mml:mi>f</mml:mi></mml:math></inline-formula>CO<inline-formula><mml:math id="M91" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>(</mml:mo><mml:mi mathvariant="normal">eq</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> using calibration standards,
in situ seawater salinity, and the pressure and temperature in the
equilibrator (SOP 5# Underway <inline-formula><mml:math id="M92" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>CO<inline-formula><mml:math id="M93" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>; Dickson et al., 2007). Vertical
profiles of seawater CO<inline-formula><mml:math id="M94" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> fugacity (<inline-formula><mml:math id="M95" display="inline"><mml:mi>f</mml:mi></mml:math></inline-formula>CO<inline-formula><mml:math id="M96" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>(</mml:mo><mml:mi mathvariant="normal">sw</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> are
calculated using average equilibrator fugacity (<inline-formula><mml:math id="M97" display="inline"><mml:mi>f</mml:mi></mml:math></inline-formula>CO<inline-formula><mml:math id="M98" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>(</mml:mo><mml:mi mathvariant="normal">eq</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, equilibrator
temperature (<inline-formula><mml:math id="M99" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mrow><mml:mo>(</mml:mo><mml:mi mathvariant="normal">eq</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and in situ seawater temperature
(<inline-formula><mml:math id="M100" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mrow><mml:mo>(</mml:mo><mml:mi mathvariant="normal">sw</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> at each depth (Takahashi et al., 1993).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><caption><p>Time series measurements made during an NSOP deployment in the
Celtic Sea on 30 July 2015. Data are 1 Hz depth <bold>(a)</bold>, seawater
temperature <bold>(b)</bold>, salinity <bold>(c)</bold> and
<inline-formula><mml:math id="M101" display="inline"><mml:mi>f</mml:mi></mml:math></inline-formula>CO<inline-formula><mml:math id="M102" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>(</mml:mo><mml:mi mathvariant="normal">sw</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub></mml:math></inline-formula> <bold>(d)</bold>. Data used for depth bin analysis
(Sect. 2.6) are identified by a shaded background.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://os.copernicus.org/articles/13/649/2017/os-13-649-2017-f05.jpg"/>

        </fig>

</sec>
<sec id="Ch1.S2.SS7">
  <title>Seawater sample collection using NSOP</title>
      <p>The NSOP setup enables vertical profiles of discrete seawater samples to be
collected from upstream of the equilibrator, with a split in the tubing
diverting <inline-formula><mml:math id="M103" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.5 L min<inline-formula><mml:math id="M104" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> into a sink. For example, discrete
seawater samples (250 ml) have been successfully collected and analysed for
Total Alkalinity (TA). Samples were collected and poisoned following best
practice recommendations (SOP#1; Dickson et al., 2007). Bottle filling
plus one overfill took <inline-formula><mml:math id="M105" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 60 s. Start and end times were recorded so that
collection depth could be retrospectively determined from the CTD pressure
data. Analytical methods and an example depth profile are provided in the
Supplement.</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <title>Field measurements/observations</title>
      <p>Presented below are example profiles collected using NSOP. The first
deployment was in the open ocean (30 July 2015, central Celtic Sea;
49.4213<inline-formula><mml:math id="M106" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, <inline-formula><mml:math id="M107" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>8.5783<inline-formula><mml:math id="M108" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) from the RRS <italic>Discovery</italic>
(100 m length, 6.5 m draught). The second deployment was in coastal waters
(15 April 2014, Plymouth Sound; 50.348<inline-formula><mml:math id="M109" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, <inline-formula><mml:math id="M110" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>4.126<inline-formula><mml:math id="M111" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E)
from the RV <italic>Plymouth Quest</italic> (20 m length, 3 m draught). A map of
deployment sites is supplied in the Supplement.</p>
<sec id="Ch1.S3.SS1">
  <title>Open-ocean deployment</title>
      <p>NSOP was deployed at 14:05 (UTC) on 30 July 2015. During the 6 h
preceding deployment, the ship was on station and encountered persistently
strong solar radiance (&gt; 600 W m<inline-formula><mml:math id="M112" 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>), mild winds
(&lt; 6 m s<inline-formula><mml:math id="M113" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and calm sea state (significant wave height
&lt; 1.6 m). This combination of low wind speeds and high irradiance
(Fig. S5) is favourable for near-surface
stratification (Donlon et al., 2002).</p>
      <p>Figure 5 presents the time series data collected by NSOP for depth,
temperature, salinity and <inline-formula><mml:math id="M114" display="inline"><mml:mi>f</mml:mi></mml:math></inline-formula>CO<inline-formula><mml:math id="M115" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>(</mml:mo><mml:mi mathvariant="normal">sw</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub></mml:math></inline-formula>. Discrete profiling began
at 14:05 (UTC) at 0.7 m depth, which was as close to the surface as the
frame could be located without the possibility of breaking the surface. Depth
bins were identified based on rapid depth transitions (Fig. 5a). Bottles were
filled for discrete samples during the downcast. Profiling lasted 75 min and
finished back at the surface at 15:20 (UTC). Seawater temperature was
16.61 <inline-formula><mml:math id="M116" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.06 <inline-formula><mml:math id="M117" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C. At 14:20 (UTC), <inline-formula><mml:math id="M118" display="inline"><mml:mi>f</mml:mi></mml:math></inline-formula>CO<inline-formula><mml:math id="M119" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>(</mml:mo><mml:mi mathvariant="normal">atm</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub></mml:math></inline-formula>
was 398 <inline-formula><mml:math id="M120" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>atm and <inline-formula><mml:math id="M121" display="inline"><mml:mi>f</mml:mi></mml:math></inline-formula>CO<inline-formula><mml:math id="M122" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>(</mml:mo><mml:mi mathvariant="normal">sw</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub></mml:math></inline-formula> was 389 <inline-formula><mml:math id="M123" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>atm at
0.67 m, meaning the ocean was undersaturated with respect to the atmosphere.
The temperature and seawater CO<inline-formula><mml:math id="M124" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> were the expected magnitude for summer
in the Celtic Sea (Frankignoulle and Borges, 2001). Salinity was homogeneous
throughout the NSOP deployment, only varying by <inline-formula><mml:math id="M125" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.004.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><caption><p>Salinity and temperature in the central Celtic Sea on 30 July 2015.
NSOP profiles of salinity <bold>(a)</bold> and temperature <bold>(b)</bold> were
derived using depth bins as described in Sect. 2.6. Data points are
coloured by sampling time. Vertical and horizontal error bars show 2 standard errors of the mean in each depth bin. Coloured triangles in
<bold>(b)</bold> are time-averaged temperature for four depths (0.3, 0.6, 1.5 and
3.5 m) at the nearby central Celtic Sea temperature mooring
(49.403<inline-formula><mml:math id="M126" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, <inline-formula><mml:math id="M127" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>8.606<inline-formula><mml:math id="M128" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E). <bold>(c)</bold> Time series of
temperature at the mooring. Time series of temperature at depths (0.3, 0.6,
1.5 and 3.5 m) are solid lines whereas the dashed line is the underway
temperature at 5.5 m from RRS <italic>Discovery</italic> (located 2.8 km from the
mooring). The mooring and underway temperatures are coloured according to
their sample depth, where red is the air–sea interface. The circles are
binned temperature data from NSOP, which have also been coloured to reflect
the depth of collection.</p></caption>
          <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://os.copernicus.org/articles/13/649/2017/os-13-649-2017-f06.jpg"/>

        </fig>

      <p>Depth-binned salinity and temperature data did not show any significant
variability (Fig. 6a). A slight temperature gradient was observed, with
0.15 <inline-formula><mml:math id="M129" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C difference between 5 m and the surface and a fairly
constant reduction with depth (0.03 <inline-formula><mml:math id="M130" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C per metre). The temperature
profile was similar for down- and upcasts, although some continued warming of
surface waters was evident in the upcast. The temperature measured by NSOP
at 5.15 m depth agrees well with the coincident temperature measured by the
bow thermistor at 5.5 m (&lt; 0.02 <inline-formula><mml:math id="M131" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C difference) (Fig. 6c).
There is no evidence that the ship's thrusters/propellers disrupted the near-surface gradients.</p>
      <p>We compare the NSOP temperature profile with thermistor readings from a
series of Sea-Bird Scientific (SBE 56) sensors (0.3, 0.6, 1.5, 3.5 and 7 m
depth) mounted on a nearby temperature chain moored <inline-formula><mml:math id="M132" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 2.8 km away
(49.403<inline-formula><mml:math id="M133" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, <inline-formula><mml:math id="M134" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>8.606<inline-formula><mml:math id="M135" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) from the deployment site . The
vertical profile implied by the NSOP deployment agrees with the mooring data
(Fig. 6c), and corroborates the warming of the upper few metres of the ocean
observed during the deployment. The agreement between these independent
datasets suggests that it is unlikely that NSOP caused any significant
localized warming of surface waters. The mean difference between NSOP
temperature from discrete depths and the mooring sensors is 0.02 <inline-formula><mml:math id="M136" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C.
The surface data from the NSOP upcast show less agreement with the mooring,
with NSOP temperatures <inline-formula><mml:math id="M137" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.05 <inline-formula><mml:math id="M138" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C lower than the 0.3 m and
0.6 m mooring sensors. During the profile the ship drifted <inline-formula><mml:math id="M139" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1 km
from the start position of the profile and a further 0.2 km from the
mooring. The small offset between the NSOP surface temperatures and the
mooring may be driven by horizontal variability between the deployment and
mooring locations. It is also possible that turbulence mixed warm surface
waters down into cooler sub-surface layers. Turbulence could have been
generated around the NSOP sampling frame or by an increase in wave-driven
mixing when the significant wave height increased at <inline-formula><mml:math id="M140" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 15:00 UTC
(Fig. S4a).</p>
      <p>Seawater density (Fig. 7a) was calculated using the salinity and temperature
profile data (Fig. 6a, b) and the 1983 Unesco equation of state (Millero and
Poisson, 1981). As expected, with little variation in the salinity, changes in
the density profile are dominated by temperature. The down- and upcasts for
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> show excellent agreement below 2.5 m. Surface water
(&lt; 2 m) CO<inline-formula><mml:math id="M142" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> is 2–4 <inline-formula><mml:math id="M143" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>atm higher than at 5 m
(Fig. 7b). Elevated surface CO<inline-formula><mml:math id="M144" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> could be explained by a sustained flux
from the atmosphere into a near-surface stratified layer with inhibited deepwater exchange. Under this assumption a vertical gradient in seawater
CO<inline-formula><mml:math id="M145" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> would need to be established shortly after the temperature gradient.
A paired <inline-formula><mml:math id="M146" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test showed that the <inline-formula><mml:math id="M147" display="inline"><mml:mi>f</mml:mi></mml:math></inline-formula>CO<inline-formula><mml:math id="M148" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> measured in the surface bins on
the downcast and upcast are were significantly different
(<inline-formula><mml:math id="M149" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> &lt; 0.001). The deepening of the surface stratified layer
could explain the more homogeneous CO<inline-formula><mml:math id="M150" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> during the upcast. It is worth
noting that in addition to physical processes, plankton trapped within the
surface layer could also modify the surface CO<inline-formula><mml:math id="M151" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>. Trace gas
concentrations may also be different in the sea surface microlayer but
sampling that close to the surface is beyond the capabilities of NSOP.
Complementary measurements of the sea surface microlayer could be made using
other state-of-the-art purpose-built sampling platforms such as the Sea
Surface Scanner (Ribas-Ribas et al., 2017).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><caption><p>NSOP density <bold>(a)</bold> and <inline-formula><mml:math id="M152" display="inline"><mml:mi>f</mml:mi></mml:math></inline-formula>CO<inline-formula><mml:math id="M153" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>(</mml:mo><mml:mi mathvariant="normal">sw</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub></mml:math></inline-formula>,
<bold>(b)</bold> profiles from the Celtic Sea on 30 July 2015. Data points are
coloured by sample time. Vertical error bars correspond to 2 standard
errors of the mean in each depth bin. The horizontal error bars in
<bold>(a)</bold> are 2 standard errors of the mean, whereas in <bold>(b)</bold>
they are the propagated error from  the binned measurements used to
calculate <inline-formula><mml:math id="M154" display="inline"><mml:mi>f</mml:mi></mml:math></inline-formula>CO<inline-formula><mml:math id="M155" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>(</mml:mo><mml:mi mathvariant="normal">sw</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub></mml:math></inline-formula>.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://os.copernicus.org/articles/13/649/2017/os-13-649-2017-f07.jpg"/>

        </fig>

      <p>To assess measurement accuracy the NSOP Liqui-Cel CO<inline-formula><mml:math id="M156" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> system was
compared against an independent CO<inline-formula><mml:math id="M157" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> system that had a showerhead
equilibrator coupled to the ship's seawater supply pumped from 5.5 m below
the sea surface (Hardman-Mountford et al., 2008; Kitidis et al., 2012).
Technical issues meant that the underway CO<inline-formula><mml:math id="M158" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> system installed on the
RRS <italic>Discovery</italic> was not functioning during the deployment detailed
above. However, during a deployment on  19 July 2015, the
<inline-formula><mml:math id="M159" display="inline"><mml:mi>f</mml:mi></mml:math></inline-formula>CO<inline-formula><mml:math id="M160" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>(</mml:mo><mml:mi mathvariant="normal">sw</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub></mml:math></inline-formula> measured by NSOP at 5 m agreed well with independent
measurements from the underway system, with difference of 1.7 <inline-formula><mml:math id="M161" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4.18 <inline-formula><mml:math id="M162" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>atm. The agreement between the two systems is in line with
previous intercomparisons (Ribas-Ribas et al., 2014; Körtzinger et al.,
2000).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><caption><p>Time series measurements during an NSOP deployment in Plymouth Sound
on 15 April 2014: depth <bold>(a)</bold>, temperature <bold>(b)</bold>, salinity
<bold>(c)</bold>, chlorophyll fluorescence <bold>(d)</bold> and DMS<inline-formula><mml:math id="M163" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mo>(</mml:mo><mml:mi mathvariant="normal">sw</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub></mml:math></inline-formula>
<bold>(e)</bold>. Data used for depth bin analysis (Sect. 2.6) are identified by a
shaded background. The beginning of the time series is an example of a
continuous profile (see Sect. 2.2).</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://os.copernicus.org/articles/13/649/2017/os-13-649-2017-f08.jpg"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9" specific-use="star"><caption><p>NSOP profiles collected in Plymouth Sound on 15 April 2014:
temperature <bold>(a)</bold>, salinity <bold>(b)</bold>, chlorophyll fluorescence
<bold>(c)</bold> and DMS<inline-formula><mml:math id="M164" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mo>(</mml:mo><mml:mi mathvariant="normal">sw</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub></mml:math></inline-formula> <bold>(d)</bold>. Data are coloured by
sample time. Vertical and horizontal error bars are 2 standard errors of
the mean (SEM) in each depth bin.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://os.copernicus.org/articles/13/649/2017/os-13-649-2017-f09.jpg"/>

        </fig>

</sec>
<sec id="Ch1.S3.SS2">
  <title>Coastal deployment</title>
      <p>DMS profiles were collected on a small research vessel on 15 April 2014. The NSOP
was deployed within the Plymouth Sound at 12:00 UTC and recovered 95 min
later (Fig. 8). In the sheltered environment behind the breakwater the
standard deviation in depth was <inline-formula><mml:math id="M165" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.10 m, smaller than observed during
open ocean profiles. Seawater temperature and salinity demonstrate clear
structure, with lower temperatures and higher salinities associated with
sub-surface water. Two river estuaries (Plym and Tamar) converge and flow out
to the open ocean through the Plymouth Sound. We likely observed a freshwater
surface lens that was protected from wave-driven mixing and had been warmed
over the course of the day. We used a different miniCTD during this
deployment and were thus also able to collect fluorescence data (Fig. 8d).</p>
      <p>Temperature profiles (Fig. 9a) show a sharp discontinuity in the downcast at
<inline-formula><mml:math id="M166" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 5 m whereas in the upcast the thermocline had shoaled to
<inline-formula><mml:math id="M167" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 3.5 m. The salinity profiles suggest similar mixing depths to the
temperature profiles, with lower salinity water at the surface (Fig. 9b). The
increase in fluorescence with depth (Fig. 9c) is either due to reductions in
chlorophyll concentration close to the sea surface or because of quenching of
the phytoplankton photosynthetic apparatus, which is often observed in
surface waters that experience strong irradiance (Sackmann et al.,
2008; Biermann et al., 2015). DMS concentrations reduce steadily with
depth (Fig. 9d), which is likely explained by changes in DMS production and
consumption rates by the biological community (Galí et al., 2013). The
DMS profiles from the upcast and the downcast are very similar, with the
largest difference at the very surface. A large difference in the
surface-most data point can also be seen in the temperature data, and may
reflect mixing with sub-surface waters due to the motion of NSOP or short
timescale variations in the physical environment.</p>
</sec>
</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <title>Summary</title>
      <p>This paper describes a near-surface ocean profiler (NSOP) designed to measure
vertical trace gas profiles near the air–sea interface. NSOP is unique in
approach as its sampling frame is lowered from a buoy that rides the ocean
swell, reducing relative motion of the frame and hence fluctuations in
sampling depth. The NSOP design facilitates near-surface (&lt; 0.5 m)
sampling, significantly improving the capability to resolve vertical
gradients. Other benefits include the ability to sample away from ship-driven
turbulence and the flexibility to make a large range of near-surface
measurements. The NSOP sampling frame houses the miniCTD and also has the
capacity to incorporate additional sensors (e.g. turbulence, dissolved oxygen
and other measures of phytoplankton abundance and photosynthetic health). The
ability to collect water from discrete depths facilitates the collection of
near-surface samples that require additional processing or take longer to
analyse (e.g. TA, dissolved inorganic carbon, nutrients, the DMS-precursor
DMSP, dissolved organic carbon). The NSOP is highly versatile and can be used for
continuous or discrete profiling. Further development could adjust winch payout speed and enable continuous, high-resolution depth profiles for slower
response time measurements (e.g. <inline-formula><mml:math id="M168" display="inline"><mml:mi>f</mml:mi></mml:math></inline-formula>CO<inline-formula><mml:math id="M169" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>(</mml:mo><mml:mi mathvariant="normal">sw</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>.</p>
      <p>Near-surface stratification in the upper few metres of the ocean due to
temperature and salinity gradients is a well-documented phenomenon. The
presence or absence of chemical and biological gradients within near-surface
stratified layers has been difficult to assess. NSOP is a platform with the
capability to successfully resolve gradients in these near-surface layers.
The data presented in this paper demonstrate that near-surface gradients in
trace gases can lead to substantially different fluxes depending upon the
seawater depth that is used to calculate the flux. Assuming that the effect
of temperature and salinity gradients on the flux can be accounted for using
remote sensing methods (e.g Shutler et al., 2016), then the change in flux is
directly proportional to the change in <inline-formula><mml:math id="M170" display="inline"><mml:mi mathvariant="normal">Δ</mml:mi></mml:math></inline-formula>C. In the case of the coastal
DMS profile, a higher concentration (2.58 <inline-formula><mml:math id="M171" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.02 nM) was observed
0.5 m below the sea surface compared to concentrations at 5 m
(2.36 <inline-formula><mml:math id="M172" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.03 nM). Assuming that the atmospheric concentration of DMS
was negligible (a typical approach for DMS fluxes (see Lana et al., 2011),
computing the flux with the 5 m waterside concentration instead of the
0.5 m waterside concentration means the flux is underestimated by 9.3 %.
In the case of the Celtic Sea CO<inline-formula><mml:math id="M173" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> profile, the concentration at 0.5 m
(389.60 <inline-formula><mml:math id="M174" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.36 <inline-formula><mml:math id="M175" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>atm) was higher than at 5 m
(385.92 <inline-formula><mml:math id="M176" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.36 <inline-formula><mml:math id="M177" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>atm). The atmospheric CO<inline-formula><mml:math id="M178" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> concentration
was 398.1 <inline-formula><mml:math id="M179" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.3 <inline-formula><mml:math id="M180" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>atm, which means that the surface water was
less undersaturated than implied by the seawater concentration at 5 m. Using
the 5 m waterside CO<inline-formula><mml:math id="M181" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> concentration leads to an overestimation of the
<inline-formula><mml:math id="M182" display="inline"><mml:mi mathvariant="normal">Δ</mml:mi></mml:math></inline-formula>C and flux by 43.5 % compared to using the 0.5 m waterside
CO<inline-formula><mml:math id="M183" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> concentration. The magnitudes of these concentration gradients are
significant. However, such gradients (in magnitude and direction) do not
persist for all hours of the day, under different environmental conditions
and in all regions of the global ocean. A subsequent publication will discuss
NSOP data collected during four cruises as well as the wider prevalence and
implications of near-surface CO<inline-formula><mml:math id="M184" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> gradients.</p>
</sec>

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

      <p>Relevant data for this paper can be found in the excel spreadsheet in the Supplement.</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p><bold>The Supplement related to this article is available online at <inline-supplementary-material xlink:href="https://doi.org/10.5194/os-13-649-2017-supplement" xlink:title="zip">https://doi.org/10.5194/os-13-649-2017-supplement</inline-supplementary-material>.</bold></p></supplementary-material>
        </app-group><notes notes-type="competinginterests">

      <p>The authors declare that they have no conflict of
interest.</p>
  </notes><ack><title>Acknowledgements</title><p>We thank the captains and crews of the RV <italic>Plymouth Quest</italic> and RRS <italic>Discovery</italic> for their
assistance with deploying NSOP, Christopher Balfour and Dave Sivyer for
maintenance of the central Celtic Sea mooring near-surface temperature
sensors, Vassilis Kitidis for supplying underway CO<inline-formula><mml:math id="M185" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>
data and Burke Hales for advice concerning Liqui-Cel
CO<inline-formula><mml:math id="M186" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> measurements. This research was made possible by
PML internal funding, a NERC funded studentship (NE/L000075/1), temperature
sensors on the central Celtic Sea mooring (NE/K002058/1) and the NERC
Shelf Sea Biogeochemistry pelagic research programme (NE/K002007/1). The
RRS <italic>Discovery</italic> underway data were supplied by the
Natural Environment Research Council.
<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
Edited by: Piers Chapman <?xmltex \hack{\newline}?>
Reviewed by: Mariana Ribas-Ribas and two anonymous referees</p></ack><ref-list>
    <title>References</title>

      <ref id="bib1.bib1"><label>1</label><mixed-citation>Bakker, D. C. E., Pfeil, B., Landa, C. S., Metzl, N., O'Brien, K. M., Olsen,
A., Smith, K., Cosca, C., Harasawa, S., Jones, S. D., Nakaoka, S.-I., Nojiri,
Y., Schuster, U., Steinhoff, T., Sweeney, C., Takahashi, T., Tilbrook, B.,
Wada, C., Wanninkhof, R., Alin, S. R., Balestrini, C. F., Barbero, L., Bates,
N. R., Bianchi, A. A., Bonou, F., Boutin, J., Bozec, Y., Burger, E. F., Cai,
W.-J., Castle, R. D., Chen, L., Chierici, M., Currie, K., Evans, W.,
Featherstone, C., Feely, R. A., Fransson, A., Goyet, C., Greenwood, N.,
Gregor, L., Hankin, S., Hardman-Mountford, N. J., Harlay, J., Hauck, J.,
Hoppema, M., Humphreys, M. P., Hunt, C. W., Huss, B., Ibánhez, J. S. P.,
Johannessen, T., Keeling, R., Kitidis, V., Körtzinger, A., Kozyr, A.,
Krasakopoulou, E., Kuwata, A., Landschützer, P., Lauvset, S. K.,
Lefèvre, N., Lo Monaco, C., Manke, A., Mathis, J. T., Merlivat, L.,
Millero, F. J., Monteiro, P. M. S., Munro, D. R., Murata, A., Newberger, T.,
Omar, A. M., Ono, T., Paterson, K., Pearce, D., Pierrot, D., Robbins, L. L.,
Saito, S., Salisbury, J., Schlitzer, R., Schneider, B., Schweitzer, R.,
Sieger, R., Skjelvan, I., Sullivan, K. F., Sutherland, S. C., Sutton, A. J.,
Tadokoro, K., Telszewski, M., Tuma, M., van Heuven, S. M. A. C., Vandemark,
D., Ward, B., Watson, A. J., and Xu, S.: A multi-decade record of
high-quality <inline-formula><mml:math id="M187" display="inline"><mml:mi>f</mml:mi></mml:math></inline-formula>CO<inline-formula><mml:math id="M188" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> data in version 3 of the Surface Ocean CO<inline-formula><mml:math id="M189" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> Atlas
(SOCAT), Earth Syst. Sci. Data, 8, 383–413, <ext-link xlink:href="https://doi.org/10.5194/essd-8-383-2016" ext-link-type="DOI">10.5194/essd-8-383-2016</ext-link>,
2016.</mixed-citation></ref>
      <ref id="bib1.bib2"><label>2</label><mixed-citation>
Bange, H. W., Bell, T. G., Cornejo, M., Freing, A., Uher, G.,
Upstill-Goddard, R. C., and Zhang, G.: MEMENTO: a proposal to develop a
database of marine nitrous oxide and methane measurements, Environ. Chem., 6,
195–197, 2009.</mixed-citation></ref>
      <ref id="bib1.bib3"><label>3</label><mixed-citation>Bell, T. G., De Bruyn, W., Miller, S. D., Ward, B., Christensen, K. H., and
Saltzman, E. S.: Air–sea dimethylsulfide (DMS) gas transfer in the North
Atlantic: evidence for limited interfacial gas exchange at high wind speed,
Atmos. Chem. Phys., 13, 11073–11087, <ext-link xlink:href="https://doi.org/10.5194/acp-13-11073-2013" ext-link-type="DOI">10.5194/acp-13-11073-2013</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib4"><label>4</label><mixed-citation>Bell, T. G., De Bruyn, W., Marandino, C. A., Miller, S. D., Law, C. S.,
Smith, M. J., and Saltzman, E. S.: Dimethylsulfide gas transfer coefficients
from algal blooms in the Southern Ocean, Atmos. Chem. Phys., 15, 1783–1794,
<ext-link xlink:href="https://doi.org/10.5194/acp-15-1783-2015" ext-link-type="DOI">10.5194/acp-15-1783-2015</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib5"><label>5</label><mixed-citation>Dickson, A. G., Sabine, C. L., and Christian, J. R.: Guide to best practices
for ocean CO<inline-formula><mml:math id="M190" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> measurements, Measurements, PICES Special Publication, 3, 91–102, 2007.</mixed-citation></ref>
      <ref id="bib1.bib6"><label>6</label><mixed-citation>
Donlon, C., Minnett, P., Gentemann, C., Nightingale, T., Barton, I., Ward,
B., and Murray, M.: Toward improved validation of satellite sea surface skin
temperature measurements for climate research, J. Clim., 15, 353–369, 2002.</mixed-citation></ref>
      <ref id="bib1.bib7"><label>7</label><mixed-citation>
Durham, W. M., Kessler, J. O., and Stocker, R.: Disruption of vertical
motility by shear triggers formation of thin phytoplankton layers, Science,
323, 1067–1070, 2009.</mixed-citation></ref>
      <ref id="bib1.bib8"><label>8</label><mixed-citation>
Fairall, C., Bradley, E. F., Godfrey, J., Wick, G., Edson, J. B., and Young,
G.: Cool-skin and warm-layer effects on sea surface temperature, J. Geophys.
Res., 101, 1295–1308, 1996.</mixed-citation></ref>
      <ref id="bib1.bib9"><label>9</label><mixed-citation>
Frankignoulle, M. and Borges, A. V.: European continental shelf as a
significant sink for atmospheric carbon dioxide, Global Biogeochem. Cy., 15,
569–576, 2001.</mixed-citation></ref>
      <ref id="bib1.bib10"><label>10</label><mixed-citation>
Galí, M., Simó, R., Vila-Costa, M., Ruiz-González, C., Gasol, J.
M., and Matrai, P.: Diel patterns of oceanic dimethylsulfide (DMS) cycling:
Microbial and physical drivers, Global Biogeochem. Cy., 27, 620–636, 2013.</mixed-citation></ref>
      <ref id="bib1.bib11"><label>11</label><mixed-citation>
Hales, B., Chipman, D., and Takahashi, T.: High-frequency measurement of
partial pressure and total concentration of carbon dioxide in seawater using
microporous hydrophobic membrane contractors, Limnol. Oceanogr.-Meth., 2,
356–364, 2004.</mixed-citation></ref>
      <ref id="bib1.bib12"><label>12</label><mixed-citation>Hardman-Mountford, N. J., Moore, G., Bakker, D. C., Watson, A. J., Schuster,
U., Barciela, R., Hines, A., Moncoiffé, G., Brown, J., and Dye, S.: An
operational monitoring system to provide indicators of CO<inline-formula><mml:math id="M191" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>-related
variables in the ocean, ICES J. Mar. Sci., 65, 1498–1503, 2008.</mixed-citation></ref>
      <ref id="bib1.bib13"><label>13</label><mixed-citation>
Kitidis, V., Hardman-Mountford, N. J., Litt, E., Brown, I., Cummings, D.,
Hartman, S., Hydes, D., Fishwick, J. R., Harris, C., and Martinez-Vicente,
V.: Seasonal dynamics of the carbonate system in the Western English Channel,
Cont. Shelf Res., 42, 30–40, 2012.</mixed-citation></ref>
      <ref id="bib1.bib14"><label>14</label><mixed-citation>Körtzinger, A., Mintrop, L., Wallace, D. W., Johnson, K. M., Neill, C.,
Tilbrook, B., Towler, P., Inoue, H. Y., Ishii, M., and Shaffer, G.: The
international at-sea intercomparison of fCO<inline-formula><mml:math id="M192" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> systems during the R/V
<italic>Meteor</italic> Cruise 36/1 in the North Atlantic Ocean, Mar. Chem., 72, 171–192,
2000.</mixed-citation></ref>
      <ref id="bib1.bib15"><label>15</label><mixed-citation>Lana, A., Bell, T., Simó, R., Vallina, S. M., Ballabrera-Poy, J., Kettle,
A., Dachs, J., Bopp, L., Saltzman, E., and Stefels, J.: An updated
climatology of surface dimethlysulfide concentrations and emission fluxes in
the global ocean, Global Biogeochem. Cy., 25, GB1004, <ext-link xlink:href="https://doi.org/10.1029/2010GB003850" ext-link-type="DOI">10.1029/2010GB003850</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib16"><label>16</label><mixed-citation>Le Quéré, C., Andrew, R. M., Canadell, J. G., Sitch, S., Korsbakken,
J. I., Peters, G. P., Manning, A. C., Boden, T. A., Tans, P. P., Houghton, R.
A., Keeling, R. F., Alin, S., Andrews, O. D., Anthoni, P., Barbero, L., Bopp,
L., Chevallier, F., Chini, L. P., Ciais, P., Currie, K., Delire, C., Doney,
S. C., Friedlingstein, P., Gkritzalis, T., Harris, I., Hauck, J., Haverd, V.,
Hoppema, M., Klein Goldewijk, K., Jain, A. K., Kato, E., Körtzinger, A.,
Landschützer, P., Lefèvre, N., Lenton, A., Lienert, S., Lombardozzi,
D., Melton, J. R., Metzl, N., Millero, F., Monteiro, P. M. S., Munro, D. R.,
Nabel, J. E. M. S., Nakaoka, S.-I., O'Brien, K., Olsen, A., Omar, A. M., Ono,
T., Pierrot, D., Poulter, B., Rödenbeck, C., Salisbury, J., Schuster, U.,
Schwinger, J., Séférian, R., Skjelvan, I., Stocker, B. D., Sutton, A.
J., Takahashi, T., Tian, H., Tilbrook, B., van der Laan-Luijkx, I. T., van
der Werf, G. R., Viovy, N., Walker, A. P., Wiltshire, A. J., and Zaehle, S.:
Global Carbon Budget 2016, Earth Syst. Sci. Data, 8, 605–649,
<ext-link xlink:href="https://doi.org/10.5194/essd-8-605-2016" ext-link-type="DOI">10.5194/essd-8-605-2016</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib17"><label>17</label><mixed-citation>
Liss, P. S. and Slater, P. G.: Flux of Gases across the Air-Sea Interface,
Nature, 247, 181–184, 1974.</mixed-citation></ref>
      <ref id="bib1.bib18"><label>18</label><mixed-citation>
Loose, B., Stute, M., Alexander, P., and Smethie, W.: Design and deployment
of a portable membrane equilibrator for sampling aqueous dissolved gases,
Water Resour. Res., 45, 2009.</mixed-citation></ref>
      <ref id="bib1.bib19"><label>19</label><mixed-citation>Marandino, C. A., De Bruyn, W. J., Miller, S. D., and Saltzman, E. S.: Open
ocean DMS air/sea fluxes over the eastern South Pacific Ocean, Atmos. Chem.
Phys., 9, 345–356, <ext-link xlink:href="https://doi.org/10.5194/acp-9-345-2009" ext-link-type="DOI">10.5194/acp-9-345-2009</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib20"><label>20</label><mixed-citation>McNeil, C. L. and Merlivat, L.: The warm oceanic surface layer: Implications
for CO<inline-formula><mml:math id="M193" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> fluxes and surface gas measurements, Geophys. Res. Lett., 23,
3575–3578, 1996.</mixed-citation></ref>
      <ref id="bib1.bib21"><label>21</label><mixed-citation>Miller, S. D., Marandino, C., and Saltzman, E. S.: Ship-based measurement of
air-sea CO<inline-formula><mml:math id="M194" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> exchange by eddy covariance, J. Geophys. Res.-Atmos.,
115, 2010.</mixed-citation></ref>
      <ref id="bib1.bib22"><label>22</label><mixed-citation>
Millero, F. J. and Poisson, A.: International one-atmosphere equation of
state of seawater, Deep-Sea Res. Pt. A, 28, 625–629, 1981.</mixed-citation></ref>
      <ref id="bib1.bib23"><label>23</label><mixed-citation>
Quinn, P. and Bates, T.: The case against climate regulation via oceanic
phytoplankton sulphur emissions, Nature, 480, 51–56, 2011.</mixed-citation></ref>
      <ref id="bib1.bib24"><label>24</label><mixed-citation>Ribas-Ribas, M., Rerolle, V., Bakker, D. C., Kitidis, V., Lee, G., Brown, I.,
Achterberg, E. P., Hardman-Mountford, N., and Tyrrell, T.: Intercomparison of
carbonate chemistry measurements on a cruise in northwestern European shelf
seas, Biogeosciences, 11, 4339–4355, <ext-link xlink:href="https://doi.org/10.5194/bg-11-4339-2014" ext-link-type="DOI">10.5194/bg-11-4339-2014</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib25"><label>25</label><mixed-citation>
Ribas-Ribas, M., Mustaffa, N. I. H., Rahlff, J., Stolle, C., and Wurl, O.:
Sea Surface Scanner (S3): A Catamaran for High-resolution Measurements of
Biogeochemical Properties of the Sea Surface Microlayer, J. Atmos. Ocean.
Technol., 1433–1448, 2017.</mixed-citation></ref>
      <ref id="bib1.bib26"><label>26</label><mixed-citation>Robertson, J. E. and Watson, A. J.: Thermal skin effect of the surface ocean
and its implications for CO<inline-formula><mml:math id="M195" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> uptake, Nature, 358, 738–740, 1992.</mixed-citation></ref>
      <ref id="bib1.bib27"><label>27</label><mixed-citation>
Royer, S.-J., Galí, M., Saltzman, E. S., McCormick, C. A., Bell, T. G.,
and Simó, R.: Development and validation of a shipboard system for
measuring high-resolution vertical profiles of aqueous dimethylsulfide
concentrations using chemical ionisation mass spectrometry, Environ. Chem.,
11, 309–317, 2014.</mixed-citation></ref>
      <ref id="bib1.bib28"><label>28</label><mixed-citation>Royer, S. J., Galí, M., Mahajan, A. S., Ross, O. N., Pérez, G. L.,
Saltzman, E. S., and Simó, R.: A high-resolution time-depth view of
dimethylsulphide cycling in the surface sea, Sci. Rep., 6,
32325, <ext-link xlink:href="https://doi.org/10.1038/srep32325" ext-link-type="DOI">10.1038/srep32325</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib29"><label>29</label><mixed-citation>Sackmann, B. S., Perry, M. J., and Eriksen, C. C.: Seaglider observations of
variability in daytime fluorescence quenching of chlorophyll-<inline-formula><mml:math id="M196" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> in
Northeastern Pacific coastal waters, Biogeosciences Discuss., 5, 2839–2865,
<ext-link xlink:href="https://doi.org/10.5194/bgd-5-2839-2008" ext-link-type="DOI">10.5194/bgd-5-2839-2008</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bib30"><label>30</label><mixed-citation>Saltzman, E. S., De Bruyn, W. J., Lawler, M. J., Marandino, C. A., and
McCormick, C. A.: A chemical ionization mass spectrometer for continuous
underway shipboard analysis of dimethylsulfide in near-surface seawater,
Ocean Sci., 5, 537–546, <ext-link xlink:href="https://doi.org/10.5194/os-5-537-2009" ext-link-type="DOI">10.5194/os-5-537-2009</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib31"><label>31</label><mixed-citation>
Shutler, J. D., Land, P. E., Piolle, J.-F., Woolf, D. K., Goddijn-Murphy, L.,
Paul, F., Girard-Ardhuin, F., Chapron, B., and Donlon, C. J.: FluxEngine: A
Flexible Processing System for Calculating Atmosphere–Ocean Carbon Dioxide
Gas Fluxes and Climatologies, J. Atmos. Ocean. Technol., 33, 741–756, 2016.</mixed-citation></ref>
      <ref id="bib1.bib32"><label>32</label><mixed-citation>
Smyth, T. J., Fishwick, J. R., Lisa, A.-M., Cummings, D. G., Harris, C.,
Kitidis, V., Rees, A., Martinez-Vicente, V., and Woodward, E. M.: A broad
spatio-temporal view of the Western English Channel observatory, J. Plankt.
Res., 32, 585–601, 2010.</mixed-citation></ref>
      <ref id="bib1.bib33"><label>33</label><mixed-citation>Takahashi, T., Olafsson, J., Goddard, J. G., Chipman, D. W., and Sutherland,
S.: Seasonal variation of 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> and nutrients in the high-latitude surface
oceans: A comparative study, Global Biogeochem. Cy., 7, 843–878, 1993.</mixed-citation></ref>
      <ref id="bib1.bib34"><label>34</label><mixed-citation>Turk, D., Zappa, C. J., Meinen, C. S., Christian, J. R., Ho, D. T., Dickson,
A. G., and McGillis, W. R.: Rain impacts on CO<inline-formula><mml:math id="M198" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> exchange in the western
equatorial Pacific Ocean, Geophys. Res., Lett., 37, 2010.</mixed-citation></ref>
      <ref id="bib1.bib35"><label>35</label><mixed-citation>Walker, C. F., Harvey, M. J., Smith, M. J., Bell, T. G., Saltzman, E. S.,
Marriner, A. S., McGregor, J. A., and Law, C. S.: Assessing the potential for
dimethylsulfide enrichment at the sea surface and its influence on air-sea
flux, Ocean Sci., 12, 1033–1048, <ext-link xlink:href="https://doi.org/10.5194/os-12-1033-2016" ext-link-type="DOI">10.5194/os-12-1033-2016</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib36"><label>36</label><mixed-citation>
Wanninkhof, R.: Relationship between wind speed and gas exchange over the
ocean revisited, Limnol. Oceanogr.-Meth., 12, 351–362, 2014.</mixed-citation></ref>
      <ref id="bib1.bib37"><label>37</label><mixed-citation>Ward, B., Wanninkhof, R., McGillis, W. R., Jessup, A. T., DeGrandpre, M. D.,
Hare, J. E., and Edson, J. B.: Biases in the air-sea flux of CO<inline-formula><mml:math id="M199" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>
resulting from ocean surface temperature gradients, J. Geophys. Res.-Ocean.
(1978–2012), 109, 2004.</mixed-citation></ref>
      <ref id="bib1.bib38"><label>38</label><mixed-citation>Webb, J. R., Maher, D. T., and Santos, I. R.: Automated, in situ measurements
of dissolved 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>, CH<inline-formula><mml:math id="M201" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>, and <inline-formula><mml:math id="M202" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>13C values using cavity
enhanced laser absorption spectrometry: Comparing response times of air-water
equilibrators, Limnol. Oceanogr.-Meth., 14, 323–337, 2016.</mixed-citation></ref>
      <ref id="bib1.bib39"><label>39</label><mixed-citation>Woolf, D., Land, P. E., Shutler, J. D., Goddijn-Murphy, L., and Donlon, C.
J.: On the calculation of air-sea fluxes of CO<inline-formula><mml:math id="M203" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> in the presence of
temperature and salinity gradients, J. Geophys. Res.-Ocean., 121, 1229–1248, 2016.</mixed-citation></ref>
      <ref id="bib1.bib40"><label>40</label><mixed-citation>Yang, M., Beale, R., Smyth, T., and Blomquist, B.: Measurements of OVOC
fluxes by eddy covariance using a proton-transfer-reaction mass spectrometer
– method development at a coastal site, Atmos. Chem. Phys., 13, 6165–6184,
<ext-link xlink:href="https://doi.org/10.5194/acp-13-6165-2013" ext-link-type="DOI">10.5194/acp-13-6165-2013</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib41"><label>41</label><mixed-citation>Ziska, F., Quack, B., Abrahamsson, K., Archer, S. D., Atlas, E., Bell, T.,
Butler, J. H., Carpenter, L. J., Jones, C. E., Harris, N. R. P., Hepach, H.,
Heumann, K. G., Hughes, C., Kuss, J., Krüger, K., Liss, P., Moore, R. M.,
Orlikowska, A., Raimund, S., Reeves, C. E., Reifenhäuser, W., Robinson,
A. D., Schall, C., Tanhua, T., Tegtmeier, S., Turner, S., Wang, L., Wallace,
D., Williams, J., Yamamoto, H., Yvon-Lewis, S., and Yokouchi, Y.: Global
sea-to-air flux climatology for bromoform, dibromomethane and methyl iodide,
Atmos. Chem. Phys., 13, 8915–8934, <ext-link xlink:href="https://doi.org/10.5194/acp-13-8915-2013" ext-link-type="DOI">10.5194/acp-13-8915-2013</ext-link>, 2013.</mixed-citation></ref>

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

    </app></app-group></back>
    <!--<article-title-html>A measurement system for vertical seawater profiles close to the air–sea interface</article-title-html>
<abstract-html><p class="p">This paper describes a near-surface ocean profiler, which
has been designed to precisely measure vertical gradients in the top 10 m of
the ocean. Variations in the depth of seawater collection are minimized when
using the profiler compared to conventional CTD/rosette deployments. The
profiler consists of a remotely operated winch mounted on a tethered yet free-floating buoy, which is used to raise and lower a small frame housing sensors
and inlet tubing. Seawater at the inlet depth is pumped back to the ship for
analysis. The profiler can be used to make continuous vertical profiles or to
target a series of discrete depths. The profiler has been successfully
deployed during wind speeds up to 10 m s<sup>−1</sup> and significant wave
heights up to 2 m. We demonstrate the potential of the profiler by
presenting measured vertical profiles of the trace gases carbon dioxide and
dimethylsulfide. Trace gas measurements use an efficient microporous membrane
equilibrator to minimize the system response time. The example profiles show
vertical gradients in the upper 5 m for temperature, carbon dioxide and
dimethylsulfide of 0.15 °C, 4 µatm and 0.4 nM
respectively.</p></abstract-html>
<ref-html id="bib1.bib1"><label>1</label><mixed-citation>
Bakker, D. C. E., Pfeil, B., Landa, C. S., Metzl, N., O'Brien, K. M., Olsen,
A., Smith, K., Cosca, C., Harasawa, S., Jones, S. D., Nakaoka, S.-I., Nojiri,
Y., Schuster, U., Steinhoff, T., Sweeney, C., Takahashi, T., Tilbrook, B.,
Wada, C., Wanninkhof, R., Alin, S. R., Balestrini, C. F., Barbero, L., Bates,
N. R., Bianchi, A. A., Bonou, F., Boutin, J., Bozec, Y., Burger, E. F., Cai,
W.-J., Castle, R. D., Chen, L., Chierici, M., Currie, K., Evans, W.,
Featherstone, C., Feely, R. A., Fransson, A., Goyet, C., Greenwood, N.,
Gregor, L., Hankin, S., Hardman-Mountford, N. J., Harlay, J., Hauck, J.,
Hoppema, M., Humphreys, M. P., Hunt, C. W., Huss, B., Ibánhez, J. S. P.,
Johannessen, T., Keeling, R., Kitidis, V., Körtzinger, A., Kozyr, A.,
Krasakopoulou, E., Kuwata, A., Landschützer, P., Lauvset, S. K.,
Lefèvre, N., Lo Monaco, C., Manke, A., Mathis, J. T., Merlivat, L.,
Millero, F. J., Monteiro, P. M. S., Munro, D. R., Murata, A., Newberger, T.,
Omar, A. M., Ono, T., Paterson, K., Pearce, D., Pierrot, D., Robbins, L. L.,
Saito, S., Salisbury, J., Schlitzer, R., Schneider, B., Schweitzer, R.,
Sieger, R., Skjelvan, I., Sullivan, K. F., Sutherland, S. C., Sutton, A. J.,
Tadokoro, K., Telszewski, M., Tuma, M., van Heuven, S. M. A. C., Vandemark,
D., Ward, B., Watson, A. J., and Xu, S.: A multi-decade record of
high-quality <i>f</i>CO<sub>2</sub> data in version 3 of the Surface Ocean CO<sub>2</sub> Atlas
(SOCAT), Earth Syst. Sci. Data, 8, 383–413, <a href="https://doi.org/10.5194/essd-8-383-2016" target="_blank">https://doi.org/10.5194/essd-8-383-2016</a>,
2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib2"><label>2</label><mixed-citation>
Bange, H. W., Bell, T. G., Cornejo, M., Freing, A., Uher, G.,
Upstill-Goddard, R. C., and Zhang, G.: MEMENTO: a proposal to develop a
database of marine nitrous oxide and methane measurements, Environ. Chem., 6,
195–197, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib3"><label>3</label><mixed-citation>
Bell, T. G., De Bruyn, W., Miller, S. D., Ward, B., Christensen, K. H., and
Saltzman, E. S.: Air–sea dimethylsulfide (DMS) gas transfer in the North
Atlantic: evidence for limited interfacial gas exchange at high wind speed,
Atmos. Chem. Phys., 13, 11073–11087, <a href="https://doi.org/10.5194/acp-13-11073-2013" target="_blank">https://doi.org/10.5194/acp-13-11073-2013</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib4"><label>4</label><mixed-citation>
Bell, T. G., De Bruyn, W., Marandino, C. A., Miller, S. D., Law, C. S.,
Smith, M. J., and Saltzman, E. S.: Dimethylsulfide gas transfer coefficients
from algal blooms in the Southern Ocean, Atmos. Chem. Phys., 15, 1783–1794,
<a href="https://doi.org/10.5194/acp-15-1783-2015" target="_blank">https://doi.org/10.5194/acp-15-1783-2015</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib5"><label>5</label><mixed-citation>
Dickson, A. G., Sabine, C. L., and Christian, J. R.: Guide to best practices
for ocean CO<sub>2</sub> measurements, Measurements, PICES Special Publication, 3, 91–102, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib6"><label>6</label><mixed-citation>
Donlon, C., Minnett, P., Gentemann, C., Nightingale, T., Barton, I., Ward,
B., and Murray, M.: Toward improved validation of satellite sea surface skin
temperature measurements for climate research, J. Clim., 15, 353–369, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib7"><label>7</label><mixed-citation>
Durham, W. M., Kessler, J. O., and Stocker, R.: Disruption of vertical
motility by shear triggers formation of thin phytoplankton layers, Science,
323, 1067–1070, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib8"><label>8</label><mixed-citation>
Fairall, C., Bradley, E. F., Godfrey, J., Wick, G., Edson, J. B., and Young,
G.: Cool-skin and warm-layer effects on sea surface temperature, J. Geophys.
Res., 101, 1295–1308, 1996.
</mixed-citation></ref-html>
<ref-html id="bib1.bib9"><label>9</label><mixed-citation>
Frankignoulle, M. and Borges, A. V.: European continental shelf as a
significant sink for atmospheric carbon dioxide, Global Biogeochem. Cy., 15,
569–576, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib10"><label>10</label><mixed-citation>
Galí, M., Simó, R., Vila-Costa, M., Ruiz-González, C., Gasol, J.
M., and Matrai, P.: Diel patterns of oceanic dimethylsulfide (DMS) cycling:
Microbial and physical drivers, Global Biogeochem. Cy., 27, 620–636, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib11"><label>11</label><mixed-citation>
Hales, B., Chipman, D., and Takahashi, T.: High-frequency measurement of
partial pressure and total concentration of carbon dioxide in seawater using
microporous hydrophobic membrane contractors, Limnol. Oceanogr.-Meth., 2,
356–364, 2004.
</mixed-citation></ref-html>
<ref-html id="bib1.bib12"><label>12</label><mixed-citation>
Hardman-Mountford, N. J., Moore, G., Bakker, D. C., Watson, A. J., Schuster,
U., Barciela, R., Hines, A., Moncoiffé, G., Brown, J., and Dye, S.: An
operational monitoring system to provide indicators of CO<sub>2</sub>-related
variables in the ocean, ICES J. Mar. Sci., 65, 1498–1503, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib13"><label>13</label><mixed-citation>
Kitidis, V., Hardman-Mountford, N. J., Litt, E., Brown, I., Cummings, D.,
Hartman, S., Hydes, D., Fishwick, J. R., Harris, C., and Martinez-Vicente,
V.: Seasonal dynamics of the carbonate system in the Western English Channel,
Cont. Shelf Res., 42, 30–40, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib14"><label>14</label><mixed-citation>
Körtzinger, A., Mintrop, L., Wallace, D. W., Johnson, K. M., Neill, C.,
Tilbrook, B., Towler, P., Inoue, H. Y., Ishii, M., and Shaffer, G.: The
international at-sea intercomparison of fCO<sub>2</sub> systems during the R/V
<i>Meteor</i> Cruise 36/1 in the North Atlantic Ocean, Mar. Chem., 72, 171–192,
2000.
</mixed-citation></ref-html>
<ref-html id="bib1.bib15"><label>15</label><mixed-citation>
Lana, A., Bell, T., Simó, R., Vallina, S. M., Ballabrera-Poy, J., Kettle,
A., Dachs, J., Bopp, L., Saltzman, E., and Stefels, J.: An updated
climatology of surface dimethlysulfide concentrations and emission fluxes in
the global ocean, Global Biogeochem. Cy., 25, GB1004, <a href="https://doi.org/10.1029/2010GB003850" target="_blank">https://doi.org/10.1029/2010GB003850</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib16"><label>16</label><mixed-citation>
Le Quéré, C., Andrew, R. M., Canadell, J. G., Sitch, S., Korsbakken,
J. I., Peters, G. P., Manning, A. C., Boden, T. A., Tans, P. P., Houghton, R.
A., Keeling, R. F., Alin, S., Andrews, O. D., Anthoni, P., Barbero, L., Bopp,
L., Chevallier, F., Chini, L. P., Ciais, P., Currie, K., Delire, C., Doney,
S. C., Friedlingstein, P., Gkritzalis, T., Harris, I., Hauck, J., Haverd, V.,
Hoppema, M., Klein Goldewijk, K., Jain, A. K., Kato, E., Körtzinger, A.,
Landschützer, P., Lefèvre, N., Lenton, A., Lienert, S., Lombardozzi,
D., Melton, J. R., Metzl, N., Millero, F., Monteiro, P. M. S., Munro, D. R.,
Nabel, J. E. M. S., Nakaoka, S.-I., O'Brien, K., Olsen, A., Omar, A. M., Ono,
T., Pierrot, D., Poulter, B., Rödenbeck, C., Salisbury, J., Schuster, U.,
Schwinger, J., Séférian, R., Skjelvan, I., Stocker, B. D., Sutton, A.
J., Takahashi, T., Tian, H., Tilbrook, B., van der Laan-Luijkx, I. T., van
der Werf, G. R., Viovy, N., Walker, A. P., Wiltshire, A. J., and Zaehle, S.:
Global Carbon Budget 2016, Earth Syst. Sci. Data, 8, 605–649,
<a href="https://doi.org/10.5194/essd-8-605-2016" target="_blank">https://doi.org/10.5194/essd-8-605-2016</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib17"><label>17</label><mixed-citation>
Liss, P. S. and Slater, P. G.: Flux of Gases across the Air-Sea Interface,
Nature, 247, 181–184, 1974.
</mixed-citation></ref-html>
<ref-html id="bib1.bib18"><label>18</label><mixed-citation>
Loose, B., Stute, M., Alexander, P., and Smethie, W.: Design and deployment
of a portable membrane equilibrator for sampling aqueous dissolved gases,
Water Resour. Res., 45, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib19"><label>19</label><mixed-citation>
Marandino, C. A., De Bruyn, W. J., Miller, S. D., and Saltzman, E. S.: Open
ocean DMS air/sea fluxes over the eastern South Pacific Ocean, Atmos. Chem.
Phys., 9, 345–356, <a href="https://doi.org/10.5194/acp-9-345-2009" target="_blank">https://doi.org/10.5194/acp-9-345-2009</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib20"><label>20</label><mixed-citation>
McNeil, C. L. and Merlivat, L.: The warm oceanic surface layer: Implications
for CO<sub>2</sub> fluxes and surface gas measurements, Geophys. Res. Lett., 23,
3575–3578, 1996.
</mixed-citation></ref-html>
<ref-html id="bib1.bib21"><label>21</label><mixed-citation>
Miller, S. D., Marandino, C., and Saltzman, E. S.: Ship-based measurement of
air-sea CO<sub>2</sub> exchange by eddy covariance, J. Geophys. Res.-Atmos.,
115, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib22"><label>22</label><mixed-citation>
Millero, F. J. and Poisson, A.: International one-atmosphere equation of
state of seawater, Deep-Sea Res. Pt. A, 28, 625–629, 1981.
</mixed-citation></ref-html>
<ref-html id="bib1.bib23"><label>23</label><mixed-citation>
Quinn, P. and Bates, T.: The case against climate regulation via oceanic
phytoplankton sulphur emissions, Nature, 480, 51–56, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib24"><label>24</label><mixed-citation>
Ribas-Ribas, M., Rerolle, V., Bakker, D. C., Kitidis, V., Lee, G., Brown, I.,
Achterberg, E. P., Hardman-Mountford, N., and Tyrrell, T.: Intercomparison of
carbonate chemistry measurements on a cruise in northwestern European shelf
seas, Biogeosciences, 11, 4339–4355, <a href="https://doi.org/10.5194/bg-11-4339-2014" target="_blank">https://doi.org/10.5194/bg-11-4339-2014</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib25"><label>25</label><mixed-citation>
Ribas-Ribas, M., Mustaffa, N. I. H., Rahlff, J., Stolle, C., and Wurl, O.:
Sea Surface Scanner (S3): A Catamaran for High-resolution Measurements of
Biogeochemical Properties of the Sea Surface Microlayer, J. Atmos. Ocean.
Technol., 1433–1448, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib26"><label>26</label><mixed-citation>
Robertson, J. E. and Watson, A. J.: Thermal skin effect of the surface ocean
and its implications for CO<sub>2</sub> uptake, Nature, 358, 738–740, 1992.
</mixed-citation></ref-html>
<ref-html id="bib1.bib27"><label>27</label><mixed-citation>
Royer, S.-J., Galí, M., Saltzman, E. S., McCormick, C. A., Bell, T. G.,
and Simó, R.: Development and validation of a shipboard system for
measuring high-resolution vertical profiles of aqueous dimethylsulfide
concentrations using chemical ionisation mass spectrometry, Environ. Chem.,
11, 309–317, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib28"><label>28</label><mixed-citation>
Royer, S. J., Galí, M., Mahajan, A. S., Ross, O. N., Pérez, G. L.,
Saltzman, E. S., and Simó, R.: A high-resolution time-depth view of
dimethylsulphide cycling in the surface sea, Sci. Rep., 6,
32325, <a href="https://doi.org/10.1038/srep32325" target="_blank">https://doi.org/10.1038/srep32325</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib29"><label>29</label><mixed-citation>
Sackmann, B. S., Perry, M. J., and Eriksen, C. C.: Seaglider observations of
variability in daytime fluorescence quenching of chlorophyll-<i>a</i> in
Northeastern Pacific coastal waters, Biogeosciences Discuss., 5, 2839–2865,
<a href="https://doi.org/10.5194/bgd-5-2839-2008" target="_blank">https://doi.org/10.5194/bgd-5-2839-2008</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib30"><label>30</label><mixed-citation>
Saltzman, E. S., De Bruyn, W. J., Lawler, M. J., Marandino, C. A., and
McCormick, C. A.: A chemical ionization mass spectrometer for continuous
underway shipboard analysis of dimethylsulfide in near-surface seawater,
Ocean Sci., 5, 537–546, <a href="https://doi.org/10.5194/os-5-537-2009" target="_blank">https://doi.org/10.5194/os-5-537-2009</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib31"><label>31</label><mixed-citation>
Shutler, J. D., Land, P. E., Piolle, J.-F., Woolf, D. K., Goddijn-Murphy, L.,
Paul, F., Girard-Ardhuin, F., Chapron, B., and Donlon, C. J.: FluxEngine: A
Flexible Processing System for Calculating Atmosphere–Ocean Carbon Dioxide
Gas Fluxes and Climatologies, J. Atmos. Ocean. Technol., 33, 741–756, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib32"><label>32</label><mixed-citation>
Smyth, T. J., Fishwick, J. R., Lisa, A.-M., Cummings, D. G., Harris, C.,
Kitidis, V., Rees, A., Martinez-Vicente, V., and Woodward, E. M.: A broad
spatio-temporal view of the Western English Channel observatory, J. Plankt.
Res., 32, 585–601, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib33"><label>33</label><mixed-citation>
Takahashi, T., Olafsson, J., Goddard, J. G., Chipman, D. W., and Sutherland,
S.: Seasonal variation of CO<sub>2</sub> and nutrients in the high-latitude surface
oceans: A comparative study, Global Biogeochem. Cy., 7, 843–878, 1993.
</mixed-citation></ref-html>
<ref-html id="bib1.bib34"><label>34</label><mixed-citation>
Turk, D., Zappa, C. J., Meinen, C. S., Christian, J. R., Ho, D. T., Dickson,
A. G., and McGillis, W. R.: Rain impacts on CO<sub>2</sub> exchange in the western
equatorial Pacific Ocean, Geophys. Res., Lett., 37, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib35"><label>35</label><mixed-citation>
Walker, C. F., Harvey, M. J., Smith, M. J., Bell, T. G., Saltzman, E. S.,
Marriner, A. S., McGregor, J. A., and Law, C. S.: Assessing the potential for
dimethylsulfide enrichment at the sea surface and its influence on air-sea
flux, Ocean Sci., 12, 1033–1048, <a href="https://doi.org/10.5194/os-12-1033-2016" target="_blank">https://doi.org/10.5194/os-12-1033-2016</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib36"><label>36</label><mixed-citation>
Wanninkhof, R.: Relationship between wind speed and gas exchange over the
ocean revisited, Limnol. Oceanogr.-Meth., 12, 351–362, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib37"><label>37</label><mixed-citation>
Ward, B., Wanninkhof, R., McGillis, W. R., Jessup, A. T., DeGrandpre, M. D.,
Hare, J. E., and Edson, J. B.: Biases in the air-sea flux of CO<sub>2</sub>
resulting from ocean surface temperature gradients, J. Geophys. Res.-Ocean.
(1978–2012), 109, 2004.
</mixed-citation></ref-html>
<ref-html id="bib1.bib38"><label>38</label><mixed-citation>
Webb, J. R., Maher, D. T., and Santos, I. R.: Automated, in situ measurements
of dissolved CO<sub>2</sub>, CH<sub>4</sub>, and <i>δ</i>13C values using cavity
enhanced laser absorption spectrometry: Comparing response times of air-water
equilibrators, Limnol. Oceanogr.-Meth., 14, 323–337, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib39"><label>39</label><mixed-citation>
Woolf, D., Land, P. E., Shutler, J. D., Goddijn-Murphy, L., and Donlon, C.
J.: On the calculation of air-sea fluxes of CO<sub>2</sub> in the presence of
temperature and salinity gradients, J. Geophys. Res.-Ocean., 121, 1229–1248, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib40"><label>40</label><mixed-citation>
Yang, M., Beale, R., Smyth, T., and Blomquist, B.: Measurements of OVOC
fluxes by eddy covariance using a proton-transfer-reaction mass spectrometer
– method development at a coastal site, Atmos. Chem. Phys., 13, 6165–6184,
<a href="https://doi.org/10.5194/acp-13-6165-2013" target="_blank">https://doi.org/10.5194/acp-13-6165-2013</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib41"><label>41</label><mixed-citation>
Ziska, F., Quack, B., Abrahamsson, K., Archer, S. D., Atlas, E., Bell, T.,
Butler, J. H., Carpenter, L. J., Jones, C. E., Harris, N. R. P., Hepach, H.,
Heumann, K. G., Hughes, C., Kuss, J., Krüger, K., Liss, P., Moore, R. M.,
Orlikowska, A., Raimund, S., Reeves, C. E., Reifenhäuser, W., Robinson,
A. D., Schall, C., Tanhua, T., Tegtmeier, S., Turner, S., Wang, L., Wallace,
D., Williams, J., Yamamoto, H., Yvon-Lewis, S., and Yokouchi, Y.: Global
sea-to-air flux climatology for bromoform, dibromomethane and methyl iodide,
Atmos. Chem. Phys., 13, 8915–8934, <a href="https://doi.org/10.5194/acp-13-8915-2013" target="_blank">https://doi.org/10.5194/acp-13-8915-2013</a>, 2013.
</mixed-citation></ref-html>--></article>
