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  <front>
    <journal-meta><journal-id journal-id-type="publisher">AMT</journal-id><journal-title-group>
    <journal-title>Atmospheric Measurement Techniques</journal-title>
    <abbrev-journal-title abbrev-type="publisher">AMT</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Atmos. Meas. Tech.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1867-8548</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/amt-16-2851-2023</article-id><title-group><article-title>A novel, cost-effective analytical method for measuring high-resolution vertical profiles of stratospheric trace<?xmltex \hack{\break}?> gases using a gas chromatograph coupled with<?xmltex \hack{\break}?> an electron capture detector</article-title><alt-title>A novel, cost-effective analytical method</alt-title>
      </title-group><?xmltex \runningtitle{A novel, cost-effective analytical method}?><?xmltex \runningauthor{J. Li et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2">
          <name><surname>Li</surname><given-names>Jianghanyang</given-names></name>
          <email>jianghanyang.li@noaa.gov</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Baier</surname><given-names>Bianca C.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Moore</surname><given-names>Fred</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Newberger</surname><given-names>Tim</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Wolter</surname><given-names>Sonja</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Higgs</surname><given-names>Jack</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Dutton</surname><given-names>Geoff</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-7777-9268</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Hintsa</surname><given-names>Eric</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-5289-630X</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Hall</surname><given-names>Bradley</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Sweeney</surname><given-names>Colm</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-4517-0797</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Cooperative Institute for Research in Environmental Sciences,
University of Colorado Boulder, Boulder, CO 80309, USA</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Global Monitoring Laboratory, National Oceanic and Atmospheric
Administration, Boulder, CO 80305, USA</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Jianghanyang Li (jianghanyang.li@noaa.gov)</corresp></author-notes><pub-date><day>9</day><month>June</month><year>2023</year></pub-date>
      
      <volume>16</volume>
      <issue>11</issue>
      <fpage>2851</fpage><lpage>2863</lpage>
      <history>
        <date date-type="received"><day>3</day><month>February</month><year>2023</year></date>
           <date date-type="rev-request"><day>9</day><month>February</month><year>2023</year></date>
           <date date-type="rev-recd"><day>27</day><month>April</month><year>2023</year></date>
           <date date-type="accepted"><day>28</day><month>April</month><year>2023</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2023 Jianghanyang Li et al.</copyright-statement>
        <copyright-year>2023</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://amt.copernicus.org/articles/16/2851/2023/amt-16-2851-2023.html">This article is available from https://amt.copernicus.org/articles/16/2851/2023/amt-16-2851-2023.html</self-uri><self-uri xlink:href="https://amt.copernicus.org/articles/16/2851/2023/amt-16-2851-2023.pdf">The full text article is available as a PDF file from https://amt.copernicus.org/articles/16/2851/2023/amt-16-2851-2023.pdf</self-uri>
      <abstract><title>Abstract</title>

      <p id="d1e174">The radiative balance of the upper atmosphere is dependent on the
magnitude and distribution of greenhouse gases and aerosols in that region.
Climate models predict that with increasing surface temperature, the primary
mechanism for transporting tropospheric air into the stratosphere (known as
the Brewer–Dobson circulation) will strengthen, leading to changes in the
distribution of atmospheric water vapor, other greenhouse gases, and
aerosols. Stratospheric relationships between greenhouse gases and other
long-lived trace gases with various photochemical properties (such as
N<inline-formula><mml:math id="M1" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O, SF<inline-formula><mml:math id="M2" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msub></mml:math></inline-formula>, and chlorofluorocarbons) provide a strong constraint for
tracking changes in the stratospheric circulation. Therefore, a
cost-effective approach is needed to monitor these trace gases in the
stratosphere. In the past decade, the balloon-borne AirCore sampler
developed at NOAA's Global Monitoring Laboratory has been routinely used to
monitor the mole fractions of CO<inline-formula><mml:math id="M3" 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="M4" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>, and CO from the ground to
approximately 25 km above mean sea level. Our recent development work
adapted a gas chromatograph coupled with an electron capture detector
(GC-ECD) to measure a suite of trace gases (N<inline-formula><mml:math id="M5" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O, SF<inline-formula><mml:math id="M6" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msub></mml:math></inline-formula>, CFC-11,
CFC-12, H-1211, and CFC-113) in the stratospheric portion of AirCores. This
instrument, called the StratoCore-GC-ECD, allows us to retrieve vertical
profiles of these molecules at high resolution (5–7 hPa per measurement). We
launched four AirCore flights and analyzed the stratospheric air samples for
these trace gases. The results showed consistent and expected tracer–tracer
relationships and good agreement with recent aircraft campaign measurements.
Our work demonstrates that the StratoCore-GC-ECD system provides a low-cost
and robust approach to measuring key stratospheric trace gases in AirCore
samples and for evaluating changes in the stratospheric circulation.</p>
  </abstract>
    
<funding-group>
<award-group id="gs1">
<funding-source>Climate Program Office</funding-source>
<award-id>03-01-07-001</award-id>
</award-group>
</funding-group>
</article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e241">Monitoring the dry-air mole fractions of a suite of trace gases in the
stratosphere will significantly improve our understanding of the
stratospheric mean meridional circulation's (Brewer–Dobson circulation or
BDC) response to changing climate. The BDC is characterized by upwelling in
the tropics, with upper and lower poleward branches and descent in the
extra-tropics (Holton et al., 1995; Garcia and Randel, 2008; Butchart,
2014). Coupled chemistry–climate models (CCMs) predict an acceleration of
the BDC in response to increasing greenhouse gas abundances and surface
temperatures (Butchart et al., 2006; Garcia and Randel, 2008; McLandress and
Shepherd, 2009; Butchart, 2014), with far-reaching implications for surface
weather, earth's radiation budget, and the climate (Forster and Shine, 2002;
Randel et al., 2006; Gerber et al., 2012); recovery of the stratospheric
ozone layer (Butchart and Scaife, 2001; Butchart et al., 2010); and potential
impacts to surface air quality due to changes in stratosphere-to-troposphere
ozone flux (Hegglin and Shepherd, 2009). Furthermore, evaluating the impact of<?pagebreak page2852?> potential future climate
intervention techniques also requires accurate modeling of the BDC in CCMs.
However, directly measuring the strength and variation in the BDC is
difficult.</p>
      <p id="d1e244">The mean age of air (AoA) in the stratosphere (Ray et al., 1999; Andrews et
al., 2001; Waugh and Hall, 2002) has been suggested to be an indicator of
the BDC strength (Engel et al., 2009; Stiller et al., 2012, 2017). The
measurement-derived AoA, traditionally using mole fractions of carbon
dioxide (CO<inline-formula><mml:math id="M7" 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> and sulfur hexafluoride (SF<inline-formula><mml:math id="M8" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, can be compared with
modeled AoA to investigate the model's performance in simulating the BDC.
However, later studies showed that the BDC is not the only factor
controlling the mean AoA, as it is also affected by the mixing of air from
the extra-tropics back into the tropics, i.e., recirculation (Ray et al.,
2014; Garny et al., 2014; Ploeger et al., 2015; Dietmüller et al.,
2017). Also, recent work has shown that SF<inline-formula><mml:math id="M9" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msub></mml:math></inline-formula> has a non-negligible
chemical sink in the mesosphere (Ray et al., 2017; Leedham Elvidge et al.,
2018; Loeffel et al., 2022), biasing AoA calculations that rely on SF<inline-formula><mml:math id="M10" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msub></mml:math></inline-formula>
mole fractions alone. Since the mesospheric SF<inline-formula><mml:math id="M11" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msub></mml:math></inline-formula> loss rate is
proportional to its mole fraction, which has been increasing rapidly in the
past few decades, the measured SF<inline-formula><mml:math id="M12" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msub></mml:math></inline-formula> mole fraction in the midlatitudes
now contains measurable information not only about AoA but also about the mass
exchange between the stratosphere and the mesosphere, which was only
obtainable in polar vortex profiles before. Additional work has shown that
the stratospheric dry mole fractions of some long-lived trace gases, such as
nitrous oxide (N<inline-formula><mml:math id="M13" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O), and several chlorofluorocarbons (CFCs), including
dichlorodifluoromethane (CFC-12), trichlorofluoromethane (CFC-11),
1,1,2-trichloro-1,2,2-trifluoroethane (CFC-113), and
bromochlorodifluoromethane (halon 1211 or H-1211), could provide further
constraints to help better understand stratospheric circulation and
transport pathways of air into the stratosphere (Volk et al., 1996; Strahan
et al., 1999; Schoeberl et al., 2000; Moore et al., 2014). This is because
(1) photolytic destruction is the sole sink for these gases, (2) their
photolytic destruction rates increase exponentially with altitude, and (3) the altitude–photolytic lifetime profiles for these trace gases are
different (Moore et al., 2014). Therefore, observations of a suite of
tracers are needed to carefully monitor, examine, and verify simulated
stratospheric transport.</p>
      <p id="d1e317">The lightweight balloon-borne observation system known as the AirCore
provides a low-cost approach to observing the composition of the
stratosphere (Tans, 2009; Karion et al., 2010). High-quality in situ measurements
of stratospheric air are rare, since the cost of such field campaigns
prohibits routine measurements. As a result, data collected from occasional
high-altitude large-balloon (<inline-formula><mml:math id="M14" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M15" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and
aircraft-based field campaigns since the 1980s are still relevant today for
diagnosing stratospheric composition and dynamical change (Hall et al.,
1999; Andrews et al., 2001; Pan et al., 2010; Laube et al., 2020). The
AirCore was developed at the NOAA Global Monitoring Laboratory (NOAA/GML)
and has been widely used to measure CO<inline-formula><mml:math id="M16" 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="M17" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>, and CO profiles in
samples collected from the surface to the stratosphere. The AirCore consists
of a long (approximately 100 m), thin, coated stainless steel tube with
one open end. The gas in the AirCore flows out as it ascends on a balloon.
After the balloon is cut away at 30–32 km above mean sea level (AMSL), the
AirCore descends and passively collects ambient air. Due to the relatively
low volumetric flow rate and small cross-section area of the AirCore, the
mixing of air captured in the AirCore is limited to Taylor dispersion (Aris,
1956) and molecular diffusion, largely preserving the vertical structure of
the atmosphere in the AirCore (Tans, 2009; Karion et al., 2010). After
landing, the AirCore automatically closes, preserving the collected air
sample until laboratory analysis. As AirCores are usually analyzed shortly
(less than 4 h) after landing, the composition of air from the ground to
the mid-stratosphere can be measured with only a small amount (less than 0.7 m in both directions, Karion et al., 2010) of diffusion and dispersion
mixing of the sample, allowing for the retrieval of vertical gradients of
trace gases in air from the ground to the mid-stratosphere with significant
fidelity at a relatively low cost (USD 5000 per profile).</p>
      <p id="d1e363">The most common analytical approach for analyzing AirCore samples employs
continuous-flow gas analyzers to derive the vertical profiles of CO<inline-formula><mml:math id="M18" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>,
CO, CH<inline-formula><mml:math id="M19" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>, and N<inline-formula><mml:math id="M20" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O (Karion et al., 2010; Membrive et al., 2017;
Engel et al., 2017). In this approach, the AirCore sample is pushed through
one, or a series of, continuous-flow gas analyzer(s), during which the
analyzer(s) measure the dry mole fractions of several gases (CO, CO<inline-formula><mml:math id="M21" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>,
N<inline-formula><mml:math id="M22" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O, and CH<inline-formula><mml:math id="M23" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> at a relatively slow flow rate (approximately 30 mL min<inline-formula><mml:math id="M24" 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 data rate of approximately 0.45 Hz. These measurements are
then combined with flight data (such as altitude, pressure, and temperature)
to derive vertical profiles of measured trace gases with altitude, using
estimates of flow impedance due to flow resistance in a laminar regime as
sample air moves along the length of tubing (Tans, 2022). Although this
method provides fast, high-resolution measurements of several essential
trace gases, the continuous analyzers cannot directly measure other trace
gases of interest for evaluating changes in the BDC (such as CFCs or
SF<inline-formula><mml:math id="M25" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, limiting the species measured from an AirCore sample. Mrozek et
al. (2016) and Laube et al. (2020) have designed subsampling systems that
separate the AirCore samples into 20–30 mL aliquots, allowing for more
detailed chemical and isotopic measurements using non-continuous-flow
analytical instruments. This method was then applied to measure the dry mole
fractions of CFC-11 and other trace gases in each subsample and to
investigate mass-independent fractionation in CO<inline-formula><mml:math id="M26" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> (Mrozek et al., 2016;
Laube et al., 2020). However, subsampling from AirCores only allows for a
limited number of stratospheric measurements per small AirCore sample
volume. In the case of Mrozek et al. (2016), 10 stratospheric measurements
from a 2 L volume AirCore can be measured in each flight. With the weight of
NOAA unmanned free balloon payloads limited to<?pagebreak page2853?> 5.4 kg by the Federal
Aviation Administration (FAA) in the United States, the subsampling method
would provide lower vertical resolution and thus limited utility in
resolving critical stratospheric gradients of these gases. Additionally,
NOAA's AirCore sampling program routinely deploys two samplers
simultaneously, which currently restricts the total volume of each AirCore
to less than 1 L. Therefore, an alternative approach is needed to measure
the mole fractions of several critical trace gases in AirCores using a
smaller sample volume per measurement.</p>
      <p id="d1e461">Here, we present a novel analytical method using a modified gas
chromatograph coupled with an electron capture detector (GC-ECD) system to
analyze the dry mole fractions of CFC-11, CFC-12, CFC-113, H-1211, N<inline-formula><mml:math id="M27" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O,
and SF<inline-formula><mml:math id="M28" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msub></mml:math></inline-formula> from the stratospheric portion of AirCore samples
(approximately the first 20 %–30 % of the sampler tubing). We name this
system the StratoCore-GC-ECD. The StratoCore-GC-ECD is designed to
accomplish high-precision measurements of these six species using only
<inline-formula><mml:math id="M29" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula>–5 mL of air sample per measurement from the stratospheric
portion of AirCores while carefully registering the altitude information of
each data point, allowing us to acquire high-resolution measurements of the
vertical gradient of these trace gases from the tropopause to the
mid-stratosphere. This analytical method offers the potential for long-term
monitoring of these gases using a balloon-borne sampling package that is
regulated under the same flight rules as those that apply to weather
balloons. This methodology, coupled with the AirCore, will provide us the
flexibility to measure important stratospheric tracers at an enhanced
spatial and temporal resolution over current analytical methods. Such
observations will provide us with valuable information to monitor a suite of
trace gases in the stratosphere long term at low cost, define baseline
stratospheric conditions for any perturbations in stratospheric composition
due to future climate intervention techniques, and provide observational
evidence to detect and monitor changes in the BDC.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>The StratoCore-GC-ECD setup</title>
<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>Gas chromatography</title>
      <p id="d1e507">The sample analysis portion of the StratoCore-GC-ECD system is adopted from
previous GC systems designed and built for rapid, high-frequency in situ analysis
on aircraft and large-balloon platforms (Elkins et al., 1996; Romashkin et
al., 2001; Moore et al., 2003; Hintsa et al., 2021). Figure 1 displays a
diagram of the StratoCore-GC-ECD system. The analysis component consists of
a two-channel GC-ECD that mimics the design of the UAS Chromatograph for
Atmospheric Trace Species (UCATS; Hintsa et al., 2021) and the in situ GC system
used during the Lightweight Airborne Chromatograph Experiment campaign
(LACE; Moore et al., 2003). The GC system uses ultra-high purity nitrogen
(N<inline-formula><mml:math id="M30" 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> as the carrier gas. In each GC channel, a Valco 12-port two-position
valve (VICI, TX, USA) is used to switch between sample loading (into two 1 mL sample loops) and injecting modes. Each analysis takes 120 s in
this setup. Channel 1 uses a 10 % dimethylsilicone (OV-101) packed column
as the pre-column to separate CFC-12, H-1211, CFC-11, and CFC-113 in the
sample, which subsequently passes through the main column and is analyzed by
the ECD detector. A temperature controller (model CNI16-AL, Omega, CT, USA)
is used to control column temperature at 38 <inline-formula><mml:math id="M31" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C. The flow rate of
carrier gas in this channel is 70 mL min<inline-formula><mml:math id="M32" 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 pre-column is
backflushed for 85 s at 100 mL min<inline-formula><mml:math id="M33" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in each analysis to remove
the residual sample. Similarly, Channel 2 uses
HayeSep<inline-formula><mml:math id="M34" display="inline"><mml:msup><mml:mi/><mml:mi mathvariant="italic">®</mml:mi></mml:msup></mml:math></inline-formula> D porous polymer packed columns followed
by Molecular Sieve 5A to separate SF<inline-formula><mml:math id="M35" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msub></mml:math></inline-formula> and N<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>O (controlled at 110 <inline-formula><mml:math id="M37" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C), which are then analyzed by the second ECD detector. The
carrier gas flow rate in Channel 2 is 70 mL min<inline-formula><mml:math id="M38" 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>. Backflushing in
Channel 2 occurs after 55 s of each 120 s analysis at 100 mL 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> to remove any residual sample. In addition, a small flow of pure
CO<inline-formula><mml:math id="M40" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> (0.2,mL min<inline-formula><mml:math id="M41" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) is mixed into the ECD detector in Channel 2 as
a dopant to minimize the matrix effect and improve the ECD response to
N<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>O (Fehsenfeld et al., 1981).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1"><?xmltex \currentcnt{1}?><?xmltex \def\figurename{Figure}?><label>Figure 1</label><caption><p id="d1e649">Simplified sketch of the StratoCore-GC-ECD system. The dashed line
marks the boundary between the sample handling system and the sample
analysis system. Left of the dashed line is the sample handling system,
which carefully injects the sample from AirCores (4–5 mL per analysis) into
the GC-ECD. Right of the dashed line is the sample analysis system, which
measures the mole fractions of six trace gases in each injection.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://amt.copernicus.org/articles/16/2851/2023/amt-16-2851-2023-f01.png"/>

        </fig>

      <p id="d1e658">The StratoCore-GC-ECD system displays adequate analytical precisions
suitable for measuring the dry-air mole fractions of CFC-11, CFC-12,
CFC-113, H-1211, N<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>O, and SF<inline-formula><mml:math id="M44" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msub></mml:math></inline-formula> (hereafter referred to as target
molecules) in the stratosphere. Typical chromatographs are shown in Fig. 2.<?pagebreak page2854?> The analytical repeatability of the GC-ECD for the target molecules is
evaluated by measuring gas cylinders with well-determined dry mole fractions
of target molecules multiple times, and the uncertainties are shown in Table 1. Considering the dry mole fractions of these species in the stratosphere
display wide ranges (50 %–100 % overall variations for CFCs and
N<inline-formula><mml:math id="M45" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O, 20 % for SF<inline-formula><mml:math id="M46" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, such analytical precisions (<inline-formula><mml:math id="M47" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.7</mml:mn></mml:mrow></mml:math></inline-formula> %) of the GC-ECD should be sufficient to understand the stratospheric
variability of these species. A set of five gas mixtures in Aculife-treated
aluminum cylinders, spanning the range of expected stratospheric dry-air
mole fractions (20 % to 100 % of tropospheric values), were prepared and
used to calibrate the GC-ECD. Examples of the most recent calibration curves
are shown in Fig. 3. Furthermore, as new trace gas species emerge and grow
in the atmosphere, identifying possible interferences caused by the GC
co-elution of target molecules and potential new trace gases is important.
We therefore tie the StratoCore-GC-ECD measurements to the surface network
program at NOAA/GML, where atmospheric samples are analyzed on both GC-ECD
and GC-MS. The intercomparisons between the different analytical techniques
could be used to detect potential interferences if they emerge in the future.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e714">Analytical repeatability of the StratoCore-GC-ECD, reported
relative to the tropospheric mole fraction of each gas.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="2">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">Analytical</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Molecule</oasis:entry>
         <oasis:entry colname="col2">repeatability</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">CFC-11</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M48" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1 %</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">CFC-12</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M49" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1 %</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">CFC-113</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M50" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.25 %</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">H-1211</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M51" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.7 %</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">SF<inline-formula><mml:math id="M52" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M53" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.25 %</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">N<inline-formula><mml:math id="M54" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M55" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.25 %</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><?xmltex \gdef\@currentlabel{1}?></table-wrap>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2"><?xmltex \currentcnt{2}?><?xmltex \def\figurename{Figure}?><label>Figure 2</label><caption><p id="d1e859">A typical chromatogram from StratoCore-GC-ECD analysis. The <inline-formula><mml:math id="M56" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula> axis
is the retention time of each analysis, and the <inline-formula><mml:math id="M57" display="inline"><mml:mi>y</mml:mi></mml:math></inline-formula> axis is the response of the
ECD. The top panel is the response of Channel 1 (analyzing the mole
fractions of CFC-12, H-1211, CFC-11, and CFC-113), and the bottom panel is
the response of Channel 2 (analyzing the mole fractions of N<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>O and
SF<inline-formula><mml:math id="M59" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://amt.copernicus.org/articles/16/2851/2023/amt-16-2851-2023-f02.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3"><?xmltex \currentcnt{3}?><?xmltex \def\figurename{Figure}?><label>Figure 3</label><caption><p id="d1e905">Examples of calibration curves (<bold>(a)</bold>: CFC-11, <bold>(b)</bold>: N<inline-formula><mml:math id="M60" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O) generated
by analyzing five standard tanks using the StratoCore-GC-ECD system. Each
color represents a different calibration tank, and each tank was measured a
total of seven times. In each panel, the upper figure shows the relative
residual mole fraction (unitless) between the measured value and the true
curve, and the legend shows the mean residual of each tank; the lower figure
shows the calibration curve and the parameters of the quadratic fit
function, and the legend shows the standards used.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://amt.copernicus.org/articles/16/2851/2023/amt-16-2851-2023-f03.png"/>

        </fig>

</sec>
<sec id="Ch1.S2.SS2">
  <label>2.2</label><title>Sample handling</title>
      <p id="d1e937">Airborne in situ GC-ECD systems typically use a high sample flow (<inline-formula><mml:math id="M61" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">100</mml:mn></mml:mrow></mml:math></inline-formula> mL min<inline-formula><mml:math id="M62" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) to flush the sample loading system prior to analysis
(Elkins et al., 1996; Romashkin et al., 2001; Moore et al., 2003; Hintsa et
al., 2021). However, the limited amount of AirCore sample (here, <inline-formula><mml:math id="M63" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 250 mL of air) requires an alternative approach to load air into the GC-ECD.
To achieve this goal, an in-house sample handling system was specially
designed and built to capture and inject sample gas from the AirCore into
the GC-ECD system (Fig. 1). The flow path in the sample handling system is
controlled by a six-port two-position valve, and AirCore samples are carefully
pushed at low pressure (approximately 300 hPa above ambient pressure) by an
in-house standard gas cylinder with well-determined dry mole fractions of
target molecules. The six-port valve setup allows this “push gas” to also
act as a calibration standard that can be directly injected into the GC-ECD
periodically (through the bypass position, Fig. 1). For each sample
loading, the sample flow rate is controlled by a mass flow controller
(Mykrolis, MA, USA) at 4–5 mL min<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> to maintain a stable pressure
profile and constant flow. The flow rates during the sample loading process
are then measured by a mass flow meter (Omega, CT, USA) at 1 Hz at the
outlet of the StratoCore-GC-ECD system with a precision better than 0.6 %
(see Sect. 2.3). The flow measurements associated with each sample loading
process are integrated to calculate the total volume of air coming out of
the AirCore for each measurement. The total sample volume data are used for
registering the location of each measurement along the length of the AirCore
(given a known total volume of the AirCore), which is a crucial step for
registering the GC-ECD measurements with altitude (Tans, 2022).</p>
</sec>
<sec id="Ch1.S2.SS3">
  <label>2.3</label><title>In-lab testing</title>
      <p id="d1e989">To examine the potential contamination of target molecules from the AirCore,
evaluate the mixing of air samples along the direction of flow during
analysis, and assess the accuracy of AirCore volume registration, a series
of tests were conducted with the StratoCore-GC-ECD system. The AirCore used
in the tests shares the same material and surface coating as the AirCores
currently used by NOAA/GML for measuring atmospheric vertical profiles of
CO<inline-formula><mml:math id="M65" 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="M66" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>, and CO (Karion et al., 2010; Baier et al., 2018). It
consists of a 25 m long 304-grade stainless steel tube, with an outer
diameter of 0.32 cm and an inner diameter of 0.29 cm. The inside wall of the
tubing was treated with SilcoNert coating (SilcoTek Corp., PA, USA).</p>
      <?pagebreak page2855?><p id="d1e1010">In the first test, we conduct storage tests of air inside the AirCore to
determine whether the AirCore tubing surfaces contaminate the air sample.
The AirCore was first flushed with zero-grade air, then stored overnight
(<inline-formula><mml:math id="M67" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 14 h), and subsequently analyzed using the
StratoCore-GC-ECD system, during which a standard gas of typical
tropospheric composition was used as the push gas following the stored
sample. The analytical results are shown in Fig. 4a: the dry mole
fractions of all target molecules were below the StratoCore-GC-ECD detection
limit for these species in the entire AirCore. A similar test was then
conducted: the AirCore was first flushed with the standard gas of
tropospheric composition, stored overnight (<inline-formula><mml:math id="M68" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 14 h), then
zero air was used as a push gas to analyze the AirCore using the
StratoCore-GC-ECD system. The results (Fig. 4b) show that none of the
target molecules measured demonstrated any significant change in value after
14 h of storage. Considering the storage time of actual AirCore samples
(the time from AirCore landing to analysis) is usually within 4 h, these
results show that the AirCore sampler surfaces do not contaminate air
samples during regular AirCore flights.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4"><?xmltex \currentcnt{4}?><?xmltex \def\figurename{Figure}?><label>Figure 4</label><caption><p id="d1e1029">Results of StratoCore-GC-ECD flow-through tests from AirCore
samples (showing CFC-12 as an example). <bold>(a)</bold>: filling the AirCore with zero
air, then analyzing the AirCore using StratoCore-GC-ECD with air with tropospheric mole
fractions as the push gas. <bold>(b)</bold>: filling the AirCore with tropospheric air,
then analyzing the AirCore using StratoCore-GC-ECD with zero air as push
gas. The grey lines in <bold>(a)</bold> and <bold>(b)</bold> represent the true volume of the test
AirCore. <bold>(c)</bold>: modeled diffusion at the AirCore gas–push gas boundary during
AirCore analysis after 12 h.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://amt.copernicus.org/articles/16/2851/2023/amt-16-2851-2023-f04.png"/>

        </fig>

      <?pagebreak page2856?><p id="d1e1054">The two tests also demonstrated limited mixing of the sample during the
analysis. The push gas used in both tests differed from the gas in the
AirCore, defining the transition between the AirCore sample and the push gas
after each analysis. The measurements display sharp transitions from the
sample to the push gas within 1–2 injections (<inline-formula><mml:math id="M69" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> mL of air). These
abrupt transitions indicate that due to the carefully controlled flow during
the sample loading process and minimized pressure drop during valve
switching, the sample mixing during the analysis is minimal. Here, we used a
simple mixing model to estimate the molecular diffusion and Taylor
dispersion between the push gas and the sample gas in the AirCore:
            <disp-formula id="Ch1.E1" content-type="numbered"><label>1</label><mml:math id="M70" display="block"><mml:mrow><mml:msub><mml:mi>X</mml:mi><mml:mi mathvariant="normal">rms</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mo>(</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:mo>⋅</mml:mo><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">eff</mml:mi></mml:msub><mml:mo>⋅</mml:mo><mml:mi>t</mml:mi><mml:msup><mml:mo>)</mml:mo><mml:mn mathvariant="normal">0.5</mml:mn></mml:msup><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          in which <inline-formula><mml:math id="M71" display="inline"><mml:mrow><mml:msub><mml:mi>X</mml:mi><mml:mi mathvariant="normal">rms</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is the root-mean-squared diffusion distance, <inline-formula><mml:math id="M72" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> is time, and
<inline-formula><mml:math id="M73" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">eff</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is an effective diffusivity incorporating both the molecular
diffusion and the Taylor dispersion:
            <disp-formula id="Ch1.E2" content-type="numbered"><label>2</label><mml:math id="M74" display="block"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">eff</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mi>D</mml:mi><mml:mo>+</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:msup><mml:mi>v</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow><mml:mrow><mml:mn mathvariant="normal">48</mml:mn><mml:mi>D</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>.</mml:mo></mml:mrow></mml:math></disp-formula>
          In Eq. (2), <inline-formula><mml:math id="M75" display="inline"><mml:mi>D</mml:mi></mml:math></inline-formula> is the molecular diffusion coefficient, <inline-formula><mml:math id="M76" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> is the tube radius,
and <inline-formula><mml:math id="M77" display="inline"><mml:mi>v</mml:mi></mml:math></inline-formula> is the average air velocity. Using the equations, we modeled the
diffusion between the push gas and the sample gas during the analysis period
(<inline-formula><mml:math id="M78" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 1 h) for the test AirCore, shown in Fig. 4c. The
modeled <inline-formula><mml:math id="M79" display="inline"><mml:mrow><mml:msub><mml:mi>X</mml:mi><mml:mi mathvariant="normal">rms</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> on the back end of the AirCore was 37.4 cm (equivalent to
2.5 mL of air), in line with the observed sharp transition between the push
gas and the sample gas. Therefore, we suggest that the flow in the
StratoCore-GC-ECD system during sample analysis remains a rigid “slug
flow” moving through the system.</p>
      <p id="d1e1208">Additionally, the results from the two tests demonstrated high accuracy of
volume registration by the StratoCore-GC-ECD system. Using the mass flow
meter, we registered each data point to the volume of the AirCore. The
measured volume of the AirCore by the StratoCore-GC-ECD system is defined as
the midpoint of the transition between the AirCore gas and the push gas. In
the meantime, we carefully measured the true volume of the AirCore multiple
times by weighing the amount of water needed to fill the entire AirCore. The
total volume of the AirCore measured by the StratoCore-GC-ECD system agrees
with the actual volume of the AirCore within <inline-formula><mml:math id="M80" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1 mL, suggesting the
volume measurements are accurate to within <inline-formula><mml:math id="M81" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.6 %.</p>
      <p id="d1e1225">A final set of tests was also conducted to further verify that using a
simple 1-D diffusion model, we can quantify the diffusion of the sample in
the AirCore over a known storage time, and minimal mixing occurred during
the sample loading process. The AirCore was filled with two alternating
slugs using two calibrated dry standard gas cylinders. The two standards
have different dry mole fractions of all the target molecules and CO<inline-formula><mml:math id="M82" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>,
CO, and CH<inline-formula><mml:math id="M83" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>; therefore the transition between the two slugs can be
observed using both a continuous analyzer that measures the CO<inline-formula><mml:math id="M84" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> mole
fraction and the StratoCore-GC-ECD. During the filling process, the
transitions between slugs in the AirCore (Karion et al., 2010) were directly
measured by a continuous gas analyzer (G2401, Picarro, CA, USA), shown as
the varying CO<inline-formula><mml:math id="M85" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> mole fractions in Fig. 5a. Subsequently, the AirCore
was closed, quickly connected to the StratoCore-GC-ECD system, then analyzed
immediately. The N<inline-formula><mml:math id="M86" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O mole fractions show the transitions between slugs
measured by the StratoCore-GC-ECD (Fig. 5a). The transitions observed by
both the direct continuous measurements and the StratoCore-GC-ECD display
good agreement, again suggesting mixing induced by StratoCore-GC-ECD's
sample loading process is negligible. In addition, the AirCore was filled
with two alternating slugs (the same as the previous test), then stored for
26 h before being analyzed by the StratoCore-GC-ECD. After the longer,
26 h  storage, the StratoCore-GC-ECD measurements suggest that the mixing
between slugs was significantly enhanced (Fig. 5b). Assuming a 1-D
diffusion model along the length of the AirCore, we used Eq. (1) to model
the molecular diffusion inside the AirCore during storage. The modeled
diffusive mixing between slugs can capture the observed mixing well (Fig. 5b), suggesting that the horizontal mixing in the tubing coil during the
storage time between AirCore landing and sample analysis can be calculated
and accounted for in the calculation of the uncertainty of the AirCore
altitude registration.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5"><?xmltex \currentcnt{5}?><?xmltex \def\figurename{Figure}?><label>Figure 5</label><caption><p id="d1e1275"><bold>(a)</bold>: results from the alternating-slug test. The AirCore was filled
by two alternating slugs (with normalized CFC-11 dry mole fractions of 0.7
and 1, respectively), then immediately analyzed by StratoCore-GC-ECD. The
black line represents the transition between two slugs measured by the
continuous-flow analyzer; blue points are StratoCore-GC-ECD measurements. <bold>(b)</bold>:
results of the storage test using the same alternating slugs. The black line
represents the transition between two slugs when the AirCore is being
filled, the red line represents the modeled 1-D diffusion after 26 h
storage, and the red dots are the measurements from the StratoCore-GC-ECD.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://amt.copernicus.org/articles/16/2851/2023/amt-16-2851-2023-f05.png"/>

        </fig>

</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Balloon-borne AirCore flights</title>
      <p id="d1e1298">Four balloon-borne AirCore test flights were conducted to retrieve the
vertical profiles of CFC-11, CFC-12, CFC-113, H-1211, N<inline-formula><mml:math id="M87" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O, and SF<inline-formula><mml:math id="M88" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msub></mml:math></inline-formula>
in the stratosphere. The balloons were launched in northeastern Colorado,
USA, on 8 September 2021 (flight 1), 16 November 2021 (flight 2), 31 March 2022 (flight 3), and 9 August 2022 (flight 4). A 3000 g
weather balloon filled with helium carried the flight train on each flight
to <inline-formula><mml:math id="M89" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 29.5 km a.m.s.l. The payload package in the test flights is
identical to routine AirCore flights of the ongoing AirCore program at
NOAA/GML (Fig. 6). Each package contains a parachute: a cutter that can be
remotely controlled to release the balloon and open the parachute; a GPS
transmitter for real-time tracking of the flight; an Automatic Dependent
Surveillance–Broadcast (ADS–B) transponder; a radiosonde (InterMet systems
iMet-1 RSB, MI, USA) for recording latitude, longitude,<?pagebreak page2857?> altitude,
temperature, atmospheric pressure, and relative humidity; and two AirCores.
The two AirCores used in each flight are identical to ensure the sampling
processes of both AirCores are the same and confirm that there is no
contamination to the AirCore samplers. In flights 1–3, the AirCores
consisted of 91 m long tubing, with an outer diameter of 0.32 cm and
inner diameter of 0.29 cm (total volume: 600 mL), with a valve placed on
each end (top and bottom valves). The AirCores used in flight 4 (9 August 2022) were optimized for stratospheric air sampling (see discussion below)
and consisted of two tubing segments: the tropospheric portion (open end
when sampling) was a 21 m tube with an inner diameter of 0.58 cm, and
the stratospheric portion was a 28 m tube with an inner diameter of 0.29 cm (740 mL total volume with approximately 25 % in the thinner tubing).
Before the flight, each AirCore is insulated using a polymer foam package,
wrapped with plastic wrap to minimize damage in the field, and covered by a
custom-made bag using high-strength, lightweight Dyneema composite fabric. A
data logger (Arduino, MA, USA) placed next to the AirCore inside the polymer
foam recorded the coil temperature at multiple locations, latitude,
longitude, altitude, and atmospheric pressure at 1 Hz.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6"><?xmltex \currentcnt{6}?><?xmltex \def\figurename{Figure}?><label>Figure 6</label><caption><p id="d1e1328">Components of a typical NOAA AirCore flight train.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://amt.copernicus.org/articles/16/2851/2023/amt-16-2851-2023-f06.png"/>

      </fig>

      <p id="d1e1337">Hours before each flight, AirCores are flushed with special gases to
distinguish between the residual fill gas not evacuated from the AirCore
during flight and atmospheric samples during analysis. The AirCores used for
CO<inline-formula><mml:math id="M90" 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="M91" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">4</mml:mn><mml:mo>,</mml:mo></mml:mrow></mml:msub></mml:math></inline-formula>, and CO measurements (by continuous analyzers) are
flushed with an air mixture with a high CO dry mole fraction (1765 ppb) and
known CO<inline-formula><mml:math id="M92" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and CH<inline-formula><mml:math id="M93" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> dry mole fractions. The AirCores analyzed on the
StratoCore-GC-ECD system are flushed with zero air, containing elevated
H-1211 (6.6 ppt). We selected H-1211 as the tracer for the remaining fill
gas because of the rapid photochemical destruction of H-1211 in the lower
stratosphere: atmospheric models and in situ aircraft observations (Portmann et
al., 1999; Papanastasiou et al., 2013; Moore et al., 2014; Elkins et al.,
2020) showed H-1211 is entirely destroyed above 25 hPa (<inline-formula><mml:math id="M94" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 20–22 km a.m.s.l.). Since the topmost sampling altitude of our AirCore is higher
than 25 km a.m.s.l., H-1211 is an ideal tracer for distinguishing the residual
fill gas in the AirCore from air samples collected above 24–25 km a.m.s.l.
After the AirCores are thoroughly flushed, the bottom valves are kept closed
until minutes before the flight to minimize potential contamination from
ambient air.</p>
      <p id="d1e1387">The flight trajectories of all four test flights are shown in Fig. 7. The
balloon setup is designed such that the payload for all the flights should
have similar ascent and descent processes: the balloon carries the payload
to 28.9 km a.m.s.l. (10 hPa) at <inline-formula><mml:math id="M95" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 6 m s<inline-formula><mml:math id="M96" 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>, then the cutter is
activated to release the payload from the balloon. After the balloon
cutaway, the parachute is deployed and the payload descends, during which
the AirCores passively collect ambient air. One exception was flight 3:
after the balloon cutaway, the parachute did not fully open, resulting in a
faster descent rate. After landing, the bottom valve on the AirCore closes
automatically after <inline-formula><mml:math id="M97" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 30 s to minimize sample loss and
potential contamination and loss of sample due to warming. The AirCores were
quickly transferred back to the lab for analysis. In each flight, one of the
AirCores was analyzed by a Picarro G2401  continuous gas analyzer for
CO<inline-formula><mml:math id="M98" 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="M99" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>, and CO dry mole fractions, and the other AirCore was
analyzed by the StratoCore-GC-ECD (here, only the stratospheric portion
(approximately the first 20 %–30 % of the AirCore) was analyzed). After the
analysis, the filling process of the AirCore during descent is modeled
using the meteorological data and a fluid dynamic program (Tans, 2022). The
modeled results are then used to register the sample measurement time
series with the altitude at which each sample was collected to derive the
vertical profiles of all the trace gas measured by both instruments.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7"><?xmltex \currentcnt{7}?><?xmltex \def\figurename{Figure}?><label>Figure 7</label><caption><p id="d1e1436">Flight trajectories of the four test flights in northeastern
Colorado, USA. Panels (<bold>a</bold>)–(<bold>d</bold>) represent flights 1–4. The blue lines represent
the payload ascent, and the red lines represent the descent. The base map is
provided by ©OpenStreetMap contributors 2023. Distributed under
the Open Data Commons Open Database License (ODbL) v1.0.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://amt.copernicus.org/articles/16/2851/2023/amt-16-2851-2023-f07.jpg"/>

      </fig>

      <p id="d1e1451">The AirCore dimensions have a significant impact on the sampling efficiency
in the stratosphere (e.g., Membrive et al., 2017; Baier et al., 2023). The
AirCores used in flight 4 had wider tubing (0.58 cm inside diameter) at the
bottom (open end) and thinner tubing on top (0.29 cm inside diameter), while
the AirCores used in flights 1–3 consisted of one piece of thin tubing (0.29 cm inside diameter). As a result, their sampling efficiencies in the
stratosphere are drastically different. Using the fluid dynamic model
described in Tans (2022), we modeled the outflow and inflow of AirCores
during each flight, shown in Fig. 8. The model suggests that after the
balloon cutaway, the volumetric inflow during flight 4 (Fig. 8a) increased
much more rapidly compared to flights 1–3. The higher inflow in flight 4 is
due to the larger diameter on the bottom portion of the AirCores used in
flight 4, which produces a much smaller pressure gradient along the length
of the tubing, making it easier for air to enter the sampler. Therefore, the
stratospheric sampling efficiency, i.e., the ability of the AirCore to
collect stratospheric air (Fig. 8b), of flight 4 was significantly higher
than<?pagebreak page2858?> those of flights 1–3. The increased flow rates in flight 3 (compared to
flights 1 and 2) were caused mainly by its fast descent, creating a large
pressure gradient at the inlet of the AirCores. However, the combination of
high flow rates and short descent time (60 % faster than other flights) in
flight 3 still resulted in higher flow resistance in the AirCore, which
reduced sampling efficiency. Indeed, the model shows that compared to the
AirCores in flights 1 and 2, the AirCores in flight 4 are much closer to
pressure equilibrium between the closed and open ends of the AirCore (Fig. 8c), while the AirCores in flight 3 displayed the most significant imbalance
between open and closed ends during descent. This is demonstrated by the
observed pressure differential between the open and closed ends of the AirCore:
the pressure differential of the entire AirCore in every flight was measured
at 1 Hz by a pressure transducer mounted on the closed end of the AirCore.
Using the model output, we also calculated the overall pressure differential
and compared it with the measurements. The modeled pressure differential
(Fig. 8d) time series agrees with measurements in all the flights (data
not shown in the figure): during the AirCore descent, the root-mean-square
error (RMSE) between model output and measurements is less than 0.6 hPa
(corresponding to approximately 240 m at 28 km a.m.s.l. and 20 m at 12 km a.m.s.l.),
demonstrating that the model successfully reproduced the air sampling
process. The AirCores used in flight 4 showed a much smaller pressure
differential compared to the AirCores used in flights 1–3, highlighting the
higher stratospheric sampling efficiency of the AirCore using modified
tubing coil.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8"><?xmltex \currentcnt{8}?><?xmltex \def\figurename{Figure}?><label>Figure 8</label><caption><p id="d1e1456">Modeled fluid dynamics of the AirCore filling process. Each line
represents one flight, the dashed portion of each line represents the
ascent, and the solid part represents the descent. <bold>(a)</bold>: the modeled
volumetric flow (in mL min<inline-formula><mml:math id="M100" 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> into the AirCores during the entire
flight, plotted against altitude; <bold>(b)</bold>: the modeled mass flow (in <inline-formula><mml:math id="M101" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol min<inline-formula><mml:math id="M102" 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> into the AirCores; <bold>(c)</bold>: the AirCore mass equilibrium ratio (actual
air mass divided by equilibrium air mass in the AirCore) during the entire
flight: a mass equilibrium ratio equal to 1 means the air inside the AirCore
reaches equilibrium with ambient air, and a ratio lower than 1 means the air
inside the AirCore is depleted and vice versa; <bold>(d)</bold>: time series of the
modeled pressure gradient across the entire AirCore.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://amt.copernicus.org/articles/16/2851/2023/amt-16-2851-2023-f08.png"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9" specific-use="star"><?xmltex \currentcnt{9}?><?xmltex \def\figurename{Figure}?><label>Figure 9</label><caption><p id="d1e1519">Vertical profiles of AirCore trace gas dry mole fractions measured
from the four flights. Panels <bold>(a)</bold>–<bold>(f)</bold> are the results from the StratoCore-GC-ECD,
from the tropopause to 25–28 km a.m.s.l. Each color represents one of the
flights. Panels <bold>(g)</bold>–<bold>(i)</bold> are the mole fractions of CO<inline-formula><mml:math id="M103" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> <bold>(g)</bold>, CH<inline-formula><mml:math id="M104" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> <bold>(h)</bold>,
and CO <bold>(i)</bold> analyzed by a Picarro G2401 continuous gas analyzer.</p></caption>
        <?xmltex \igopts{width=355.659449pt}?><graphic xlink:href="https://amt.copernicus.org/articles/16/2851/2023/amt-16-2851-2023-f09.png"/>

      </fig>

      <?pagebreak page2859?><p id="d1e1568">The StratoCore-GC-ECD analysis of AirCores from the four test flights
yielded high-vertical-resolution profiles of target molecules, agreeing well
with their predicted stratospheric photochemical loss processes. For all the
target molecules measured by the StratoCore-GC-ECD system (Fig. 9a–f),
analyzing the 600 mL AirCores (in flights 1–3) produces 31 to 38
stratospheric measurements from each AirCore, equivalent to one measurement
every 5–7 hPa. The larger dual-diameter AirCore used in flight 4 yielded 50
measurements in the stratosphere with a resolution of 4.5 hPa per
measurement (corresponding to approximately 1.6 km per measurement at 28 km a.m.s.l. and 0.14 km per measurement at 12 km a.m.s.l.). The decrease in dry mole
fractions of the photolytic tracers with altitude can be explained by their
stratospheric photochemical properties (Portmann et al., 1999; Moore et al.,
2014): compared to mean tropospheric values, the average loss (in %) of
each photolytic tracer at the 650 K isentrope (approximately 25 km a.m.s.l.) for
the four test flights are <inline-formula><mml:math id="M105" display="inline"><mml:mrow><mml:mn mathvariant="normal">58</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="italic">%</mml:mi><mml:mo>±</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula> %, <inline-formula><mml:math id="M106" display="inline"><mml:mrow><mml:mn mathvariant="normal">61</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="italic">%</mml:mi><mml:mo>±</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula> %, <inline-formula><mml:math id="M107" display="inline"><mml:mrow><mml:mn mathvariant="normal">72</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="italic">%</mml:mi><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula> %,
<inline-formula><mml:math id="M108" display="inline"><mml:mrow><mml:mn mathvariant="normal">93</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="italic">%</mml:mi><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula> %, and 100 % for N<inline-formula><mml:math id="M109" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O, CFC-12, CFC-113, CFC-11, and
H-1211, respectively. These values qualitatively agree with the relative
stratospheric loss of the tracers via photolysis (e.g., Moore et al., 2013):
at any given altitude in the stratosphere, the photolysis lifetimes of each
molecule, from longest to shortest, are N<inline-formula><mml:math id="M110" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O <inline-formula><mml:math id="M111" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> CFC-12
<inline-formula><mml:math id="M112" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> CFC-113 <inline-formula><mml:math id="M113" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> CFC-11 <inline-formula><mml:math id="M114" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> H-1211. In addition,
the high-resolution analysis from the StratoCore-GC-ECD systems captured
temporal stratospheric variability, such as the variable dry mole fractions
of all molecules at 10–17 km in flight 3 (Fig. 9). Similar structures were
also observed in the CO<inline-formula><mml:math id="M115" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and CH<inline-formula><mml:math id="M116" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> profiles obtained from the
continuous analyzers using the other AirCore on the same flight string
(Fig. 9g, h). Therefore, the observed variability in the AirCore profiles
is unlikely to originate from artifacts during the sampling or measurement
processes but reflects short-term atmospheric conditions that may have
developed from episodic stratospheric dynamic events. The observed
variability, which is significantly larger than detection limits and
calculated mixing in the AirCore, suggests that the StratoCore-GC-ECD system
allows us to obtain high-vertical-resolution observations of the
stratosphere.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F10"><?xmltex \currentcnt{10}?><?xmltex \def\figurename{Figure}?><label>Figure 10</label><caption><p id="d1e1699">Relationships between different molecules measured by the
StratoCore-GC-ECD for flights 1–4. Grey points are aircraft measurements
acquired from the 2021 NASA DCOTSS campaign over the central USA
and Canada. <inline-formula><mml:math id="M117" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula> AirCore SF<inline-formula><mml:math id="M118" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msub></mml:math></inline-formula> data in panel <bold>(d)</bold> were corrected (based on the
global average growth rate of SF<inline-formula><mml:math id="M119" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msub></mml:math></inline-formula> in 2020–2021) to account for the
growth of SF<inline-formula><mml:math id="M120" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msub></mml:math></inline-formula> in the atmosphere.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://amt.copernicus.org/articles/16/2851/2023/amt-16-2851-2023-f10.png"/>

      </fig>

      <p id="d1e1747">The tracer–tracer relationships in the profiles collected to date show
agreement with in situ observations from previous flight campaigns within
analytical uncertainties. The relationships between different trace gases
are shown in Fig. 10 and compared with in situ aircraft measurements using the
UAS Chromatograph for Atmospheric Trace Species (UCATS; Hintsa et al., 2021)
during the NASA Dynamics and Chemistry of the Summer Stratosphere (DCOTSS)
campaign in Kansas, USA, in July–August 2021. The AirCores
collected samples from a higher altitude (25–28 km a.m.s.l.), where there is
more aged air and more pronounced photolytic loss of trace gases compared to
the ER-2 research aircraft (up to 21 km a.m.s.l.). The relationships between
CFC-11, CFC-12, and H-1211 measured from AirCores agree with those of UCATS (Fig. 10a, b). For CFC-113, the StratoCore-GC-ECD measurements generally agree
with UCATS<?pagebreak page2860?> measurements with a small but consistent (1–2 ppt) discrepancy
(Fig. 10c). We speculate this discrepancy originates from different
analytical methods used to calibrate working standards for the two
measurements: the standards used in the UCATS measurement were calibrated
using a GC-ECD. In contrast, the standards used in StratoCore-GC-ECD were
calibrated using a GC-MS. A previous study showed a 1.3 ppt offset in
CFC-113 measurements between a GC-ECD and a GC-MS (Rhoderick et al., 2015).
It is possible that the observed discrepancy between StratoCore-GC-ECD and
UCATS measurements reflected a similar offset. Further work is needed to
understand the origin of this offset. SF<inline-formula><mml:math id="M121" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msub></mml:math></inline-formula> measurements from
StratoCore-GC-ECD have been corrected to account for their growth in the
troposphere using the global average growth rate of tropospheric SF<inline-formula><mml:math id="M122" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msub></mml:math></inline-formula> in
2021, and the corrected N<inline-formula><mml:math id="M123" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O–SF<inline-formula><mml:math id="M124" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msub></mml:math></inline-formula> relationship also shows general
agreement with UCATS data (Fig. 10d) with a small offset. We suggest that
this small offset might originate from the uncertainty in estimating the
tropospheric growth rate of SF<inline-formula><mml:math id="M125" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msub></mml:math></inline-formula>. One exception is the uppermost
AirCore samples in flight 3, which displays a slightly different
N<inline-formula><mml:math id="M126" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O–SF<inline-formula><mml:math id="M127" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msub></mml:math></inline-formula> relationship from the other three flights. We speculate
that this might be due to the short-term stratospheric transport
variability, which is most likely driven by a combination of seasonal
changes in wave activity, quasi-biennial oscillation (QBO), El
Niño–Southern Oscillation (ENSO), and other short-term, episodic
events. Mapping this variation between AoA and photolytic-loss-dominated
tracers allows us to investigate these drivers of stratospheric dynamics
further but is outside the scope of this analysis. As we accumulate
additional data in further flights, we can likely distinguish between these
short-term variations and long-term changes driven by climate change.</p>
</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <label>4</label><title>Conclusions</title>
      <p id="d1e1822">The StratoCore-GC-ECD system, with a specially designed AirCore sample
handling system (capable of injection of 4–5 mL of air for each analysis),
can measure a suite of long-lived trace gases (N<inline-formula><mml:math id="M128" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O, SF<inline-formula><mml:math id="M129" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msub></mml:math></inline-formula>, CFC-11,
CFC-12, H-1211, and CFC-113) from AirCore samplers with analytical
precisions below 0.7 % for all gases. AirCore samplers designed with
dimensions specially optimized for stratospheric sampling can obtain
high-resolution vertical profiles of these trace gases from the tropopause
to 28 km a.m.s.l. Four test AirCore flights were conducted in eastern Colorado
from fall 2021 to summer 2022, with AirCores analyzed by the
StratoCore-GC-ECD system. The results showed good agreement with model
predictions and aircraft in situ measurements, suggesting that the
StratoCore-GC-ECD system provides a robust, low-cost approach for observing
the chemical composition of the stratosphere. In the future, this system
will be applied for regular monitoring of the changes of these trace gases
in the stratosphere, providing additional observational constraints on
global climate models in a changing climate. We suggest that the sample
handling system of the StratoCore-GC-ECD can be adapted to other analytical
techniques to allow even more measurements (such as isotopic measurements)
from AirCore samples in the future.</p>
</sec>

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

      <p id="d1e1848">Data used in this work are available at <ext-link xlink:href="https://doi.org/10.15138/VA4C-CY20" ext-link-type="DOI">10.15138/VA4C-CY20</ext-link> (Li et al., 2023) and <ext-link xlink:href="https://doi.org/10.3334/ORNLDAAC/1750" ext-link-type="DOI">10.3334/ORNLDAAC/1750</ext-link> (Elkins et al., 2020).</p>
  </notes><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e1860">Conceptualization: JL, FM, and BCB; data curation: JL, BCB, FM, TN, SW, JH,
GD, EH, and BH; formal analysis: JL, FM, and BCB; funding acquisition: FM
and BCB; investigation: JL, BCB, FM, TN, SW, JH, GD, and EH; methodology:
JL, BCB, FM, TN, SW, JH, GD, and CS; project administration: BCB, CS, and
BH; resources: BCB, FM, GD, CS, and BH; supervision: BCB, CS, and BH;
validation: BCB, FM, and EH; visualization: JL and FM; writing (original
draft preparation): JL; writing (review and editing): JL, BCB, FM, TN, SW,
JH, GD, EH, CS, and BH.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e1866">The contact author has declared that none of the authors has any competing interests.</p>
  </notes><notes notes-type="disclaimer"><title>Disclaimer</title>

      <?pagebreak page2861?><p id="d1e1872">Publisher’s note: Copernicus Publications remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e1878">This research is supported in part by NOAA cooperative agreements
NA17OAR4320101 and NA22OAR4320151. We thank funding support from NOAA's
Earth's Radiation Budget Initiative, NOAA CPO Climate and CI (grant no.
03-01-07-001), and NASA grants 80ARC019T0011 and 80HQTR21T0076.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e1883">This research is supported in part by NOAA cooperative agreements (grant nos. NA17OAR4320101 and NA22OAR4320151). We thank funding support from NOAA's Earth's Radiation Budget Initiative, NOAA CPO Climate and CI (grant no. 03-01-07-001), and NASA (grant nos. 80ARC019T0011 and 80HQTR21T0076).</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e1889">This paper was edited by Glenn Wolfe and reviewed by two anonymous referees.</p>
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