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  <front>
    <journal-meta><journal-id journal-id-type="publisher">ESSD</journal-id><journal-title-group>
    <journal-title>Earth System Science Data</journal-title>
    <abbrev-journal-title abbrev-type="publisher">ESSD</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Earth Syst. Sci. Data</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1866-3516</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/essd-11-1349-2019</article-id><title-group><article-title>Atmospheric observations made at Oliktok Point, Alaska, as part of the
Profiling at Oliktok Point to Enhance YOPP Experiments (POPEYE) campaign</article-title><alt-title>Atmospheric observations made at Oliktok Point</alt-title>
      </title-group><?xmltex \runningtitle{Atmospheric observations made at Oliktok Point}?><?xmltex \runningauthor{G.~de Boer et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2">
          <name><surname>de Boer</surname><given-names>Gijs</given-names></name>
          <email>gijs.deboer@colorado.edu</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Dexheimer</surname><given-names>Darielle</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Mei</surname><given-names>Fan</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-4285-2749</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Hubbe</surname><given-names>John</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Longbottom</surname><given-names>Casey</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Carroll</surname><given-names>Peter J.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Apple</surname><given-names>Monty</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Goldberger</surname><given-names>Lexie</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Oaks</surname><given-names>David</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Lapierre</surname><given-names>Justin</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Crume</surname><given-names>Michael</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Bernard</surname><given-names>Nathan</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Shupe</surname><given-names>Matthew D.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-0973-9982</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Solomon</surname><given-names>Amy</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Intrieri</surname><given-names>Janet</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff6">
          <name><surname>Lawrence</surname><given-names>Dale</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff6">
          <name><surname>Doddi</surname><given-names>Abhiram</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff7">
          <name><surname>Holdridge</surname><given-names>Donna J.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Hubbell</surname><given-names>Michael</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Ivey</surname><given-names>Mark D.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Schmid</surname><given-names>Beat</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Cooperative Institute for Research in Environmental Sciences, University of
Colorado Boulder,<?xmltex \hack{\break}?> Boulder, CO 80304, USA</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>NOAA Physical Sciences Division, Boulder, CO 80304, USA</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Sandia National Laboratories, Albuquerque, NM, USA</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Pacific Northwest National Laboratory, Richland, WA, USA</institution>
        </aff>
        <aff id="aff5"><label>5</label><institution>Fairweather, LLC, Anchorage, AK, USA</institution>
        </aff>
        <aff id="aff6"><label>6</label><institution>Department of Aerospace Engineering, University of Colorado Boulder,
Boulder, CO, USA</institution>
        </aff>
        <aff id="aff7"><label>7</label><institution>Argonne National Laboratory, Lemont, IL, USA</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Gijs de Boer (gijs.deboer@colorado.edu)</corresp></author-notes><pub-date><day>30</day><month>August</month><year>2019</year></pub-date>
      
      <volume>11</volume>
      <issue>3</issue>
      <fpage>1349</fpage><lpage>1362</lpage>
      <history>
        <date date-type="received"><day>9</day><month>March</month><year>2019</year></date>
           <date date-type="rev-request"><day>24</day><month>April</month><year>2019</year></date>
           <date date-type="rev-recd"><day>24</day><month>June</month><year>2019</year></date>
           <date date-type="accepted"><day>26</day><month>June</month><year>2019</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2019 Gijs de Boer et al.</copyright-statement>
        <copyright-year>2019</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://essd.copernicus.org/articles/11/1349/2019/essd-11-1349-2019.html">This article is available from https://essd.copernicus.org/articles/11/1349/2019/essd-11-1349-2019.html</self-uri><self-uri xlink:href="https://essd.copernicus.org/articles/11/1349/2019/essd-11-1349-2019.pdf">The full text article is available as a PDF file from https://essd.copernicus.org/articles/11/1349/2019/essd-11-1349-2019.pdf</self-uri>
      <abstract><title>Abstract</title>
    <p id="d1e307">Between 1 July and 30 September 2018, small unmanned aircraft
systems (sUAS), tethered balloon systems (TBSs), and additional radiosondes
were deployed at Oliktok Point, Alaska, to measure the atmosphere in support
of the second special observing period for the Year of Polar Prediction
(YOPP). These measurements, collected as part of the Profiling at Oliktok
Point to Enhance YOPP Experiments (POPEYE) campaign, targeted quantities
related to enhancing our understanding of boundary layer structure, cloud
and aerosol properties and surface–atmosphere exchange and providing extra
information for model evaluation and improvement work. Over the 3-month
campaign, a total of 59 DataHawk2 sUAS flights, 52 TBS flights, and 238
radiosonde launches were completed as part of POPEYE. The data from
these coordinated activities provide a comprehensive three-dimensional data
set of the atmospheric state (air temperature, humidity, pressure, and
wind), surface skin temperature, aerosol properties, and cloud microphysical
information over Oliktok Point. These data sets have been checked for
quality and submitted to the US Department of Energy (DOE) Atmospheric
Radiation Measurement (ARM) program data archive
(<uri>http://www.archive.arm.gov/discovery/</uri>, last access: July 2019) and are accessible at no cost by all
registered users. The primary dataset DOIs are <ext-link xlink:href="https://doi.org/10.5439/1418259" ext-link-type="DOI">10.5439/1418259</ext-link> (DataHawk2
measurements; Atmospheric Radiation Measurement Program, 2016),
<ext-link xlink:href="https://doi.org/10.5439/1426242" ext-link-type="DOI">10.5439/1426242</ext-link> (TBS measurements; Atmospheric Radiation Measurement
Program, 2017) and <ext-link xlink:href="https://doi.org/10.5439/1021460" ext-link-type="DOI">10.5439/1021460</ext-link> (radiosonde measurements; Atmospheric
Radiation Measurement Program, 2013a).</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<?pagebreak page1350?><sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e331">Recent decades have seen notable shifts in Arctic climate (Serreze et al.,
2007; Screen and Simmonds, 2010). Reductions in sea ice (Maslanik et al.,
2011; Comiso et al., 2008), evident as an integrator of a warming Arctic
atmosphere (Dobricic et al., 2016; Graversen et al., 2008), and an evolving
surface energy budget (Mayer et al., 2016; Hudson et al., 2013) act to
enhance absorption of solar radiation at the surface due to a dramatic shift
in surface albedo (REFS), potentially enhancing Arctic warming. Sea ice
reductions also present opportunities for commerce, including natural
resource extraction, shipping, and fishing (Smith and Stephenson, 2013; Ho,
2010). Finally, these changes have direct implications for border security
due to reduced difficulties with navigation in Arctic waters.</p>
      <p id="d1e334">In recognition of the importance of these changes and our need to be able to
predict and understand them, several nations have established Arctic
atmospheric observatories. These observatories measure atmospheric state,
cloud properties, aerosols, winds, and surface meteorology, providing
critically needed data sets for assimilation into numerical weather
prediction models and to advance the physical understanding of the Arctic
atmosphere. In northern Alaska, the US Department of Energy (DOE)
Atmospheric Radiation Measurement (ARM) Program currently operates two such
observatories. The first is the long-term North Slope of Alaska (NSA) site
located in Utqiagvik, which has operated since the late 1990s. Additionally,
since 2013, the DOE ARM program has operated its third ARM mobile facility
(AMF-3) at Oliktok Point, Alaska. Consortia such as the International Arctic
Systems for Observing the Atmosphere (IASOA, Uttal et al., 2016) have formed
to support the efficient synthesis of measurements from these and other
observatories around the Arctic.</p>
      <p id="d1e337">These observatories only represent a fraction of the work to improve our
ability to predict the Arctic environment. Groups such as the World Weather
Research Programme (WWRP) Polar Prediction Project (PPP) have developed
concentrated efforts to support such work. An example of such an effort is
the Year Of Polar Prediction (YOPP), taking place from mid-2017 through
mid-2019, which directly targets the improvement of prediction capabilities
across a wide variety of timescales, from hours to seasons, through
coordinated and intensive observations and focused modeling activities.
During the “core phase” of the YOPP, two “special observing periods”
(SOPs) were conducted in 2018. This includes one SOP in spring (1 February
2018 to 31 March 2018) and one in late summer (1 July 2018 to 30 September
2018). The “core phase” will be followed by a 3-year “consolidation
phase”, during which a variety of experiments and analysis projects will
leverage the data sets collected during the core phase to evaluate and
improve models, conduct data denial experiments, and evaluate the state of
polar prediction.</p>
      <p id="d1e340"><?xmltex \hack{\newpage}?>Based on the input of the global weather and climate modeling communities,
YOPP has established a set of detailed modeling priorities, including the following.
<list list-type="bullet"><list-item>
      <p id="d1e346">Boundary layer including mixed phase clouds</p></list-item><list-item>
      <p id="d1e350">Sea ice modeling</p></list-item><list-item>
      <p id="d1e354">Physics of coupling, including snow on sea ice</p></list-item><list-item>
      <p id="d1e358">High-resolution modeling including ensembles</p></list-item><list-item>
      <p id="d1e362">Model validation and intercomparison</p></list-item><list-item>
      <p id="d1e366">Upper ocean processes</p></list-item><list-item>
      <p id="d1e370">The stratosphere</p></list-item><list-item>
      <p id="d1e374">Chemistry, including aerosols and ozone</p></list-item></list></p>
      <p id="d1e378">As part of the second SOP, the DOE ARM program supported efforts to enhance
observational coverage of the atmosphere at the AMF-3 in Oliktok Point,
Alaska (Fig. 1). This project, titled Profiling at Oliktok Point to
Enhance YOPP Experiments (POPEYE), included deployment of the DataHawk2
unmanned aircraft system, tethered balloon systems, and one additional
radiosonde per day (three launches daily versus the standard twice-daily
launch schedule followed at the observatory) to provide measurements needed
to help meet the objectives above. The lower-atmospheric thermodynamic
observations offer a detailed look into the Arctic summertime boundary
layer, providing insight into its structure and evolution and a means of
validating retrieval algorithms from remote sensors. Such measurements
support the stated YOPP goal of pursuing an integrated modeling framework to
connect cloud, boundary layer and surface energy exchange schemes through
large eddy simulation (LES)-based development. Additionally, POPEYE provides
a detailed data set that can be used for evaluation of model performance
across a variety of model products (e.g., reanalyses, weather forecast
models, coupled regional forecast models, global climate models), and more
frequent radiosondes can help assess the impact of data assimilation on
operational models. This facilitates studies on the impact of enhanced
Arctic observations on predictions of lower-latitude weather (e.g., Jung,
2014; Inoue et al., 2015). The measurements collected can also provide
constraints on the initial and boundary conditions for intercomparisons of
single-column and large eddy simulation models. The increased frequency of
radiosonde launches provides an enhanced look into the Arctic stratosphere,
further supported by the launch of additional radiosondes at other
observatories during this SOP. Finally, POPEYE aerosol measurements provide
information on the vertical structure of key particle properties.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1"><?xmltex \currentcnt{1}?><label>Figure 1</label><caption><p id="d1e383">A map illustrating the location of Oliktok Point, Alaska <bold>(a)</bold>.
Panel <bold>(b)</bold> is a satellite image of the Oliktok Point area, including
information on the boundaries of the R-2204 restricted airspace (bold red
line) and the location of the DOE AMF-3 (white dot). Satellite imagery was
“Built with ©Google Maps”, using their Application Programming
Interface (API).</p></caption>
        <?xmltex \igopts{width=170.716535pt}?><graphic xlink:href="https://essd.copernicus.org/articles/11/1349/2019/essd-11-1349-2019-f01.png"/>

      </fig>

      <p id="d1e398">This paper describes the data set collected during POPEYE. Section 2
includes information on the systems and sensors used, sampling strategies
employed, limitations related to weather and other factors, and a general
overview of the<?pagebreak page1351?> data set as collected. Section 3 provides background on
the data processing and quality control measures applied to the data sets
collected during POPEYE and information on the different levels of data
resulting from this effort. Section 4 provides information on the
availability of the data, including a link for where the data sets can be
downloaded. Finally, Sect. 5 provides a summary of the POPEYE campaign.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Description of measurements and sampling strategy</title>
      <p id="d1e409">POPEYE featured a focused deployment of three observational tools during the
second Northern Hemisphere YOPP SOP. These measurements were designed to
complement measurements from the instruments integrated into the AMF-3,
which run continuously and are therefore not described in detail in this
paper. The reader is referred to comprehensive information available through
the ARM web page (<uri>https://www.arm.gov/</uri>, last access: July 2019). The three data sets described here are those
that were specifically deployed as a part of POPEYE, including the DataHawk2
small unmanned aircraft system (sUAS), two tethered balloon systems (TBSs)
and extra radiosondes. All systems were deployed by DOE ARM operators, and
the Datahawk2 and TBS systems have been deployed regularly at Oliktok Point
over the past few years (de Boer et al., 2018). Here we provide information
on these systems and the sensors operated on each.</p>
<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>Tethered balloon systems</title>
      <p id="d1e422">TBSs mainly consisted of two different balloons, a 35 m<inline-formula><mml:math id="M1" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> helikite
constructed by Allsopp Helikites and a 79 m<inline-formula><mml:math id="M2" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> aerostat constructed by
SkyDoc<sup>™</sup>. The helikite is a balloon–kite hybrid that uses
lighter-than-air principles to obtain its initial lift and a kite to
achieve stability and dynamic lift, while the larger aerostat uses a skirt
instead of a kite to achieve stability in flight. Lifts of both a helikite
and an aerostat increase with increasing wind speed, so a relatively stable
float altitude can be achieved even at elevated wind speeds. For POPEYE
operations, both systems were operated using an electric winch integrated
into a dedicated balloon trailer by Sandia National Laboratories. The
payload and operating guidelines for the TBSs vary significantly with
location and environmental conditions. Generally, the aerostat is operated
for total payload weights of 8–27 kg, and the helikite is operated for
total payload weights <inline-formula><mml:math id="M3" display="inline"><mml:mrow><mml:mi mathvariant="italic">&lt;</mml:mi><mml:mn mathvariant="normal">27</mml:mn></mml:mrow></mml:math></inline-formula> kg. The helikite is not typically
operated above 600 m a.g.l., because beyond this altitude the weight of the
tether and payload exceed the maximum lifting force of the helikite. The
aerostat can be operated at higher altitudes, but due to its larger size is
not launched in sustained surface wind speeds <inline-formula><mml:math id="M4" display="inline"><mml:mrow><mml:mi mathvariant="italic">&gt;</mml:mi><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math id="M5" 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
helikite is not launched in sustained surface wind speeds <inline-formula><mml:math id="M6" display="inline"><mml:mrow><mml:mi mathvariant="italic">&gt;</mml:mi><mml:mn mathvariant="normal">11</mml:mn></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math id="M7" 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>. Operation of either platform is suspended, and the balloon is
immediately retrieved if sustained wind speeds at the altitude of the
balloon exceed 15 m s<inline-formula><mml:math id="M8" 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 general, the strength of the wind is the
main limiting factor governing the launch and final altitude of the TBSs,
with rime accretion on the tether, instruments and balloon also contributing
to altitude limitations.</p>
      <p id="d1e513">POPEYE TBS operations involved a variety of sensors and payloads. To measure
the thermodynamic properties of the atmosphere, the TBS team operated
multiple different sensor packages from interMet. This includes the interMet
iMet-1-RSB radiosonde package as well as the interMet XQ2 sensor packages
developed for use on UAS. Additionally, a Silixa XT distributed temperature
sensing (DTS) system was flown. This system, which includes a long
fiberoptic cable suspended along the tether, provides a high-resolution,
continuous measurement of air temperature based on Raman scattering (Keller
et al., 2011; de Jong et al., 2015). Using this system, the temperature is
typically measured along the length of the optical fiber every 30 to 60 s at 0.65 cm spatial resolution. To provide information on the winds
aloft, vaned cup anemometers from APRS World were operated at specified
intervals along the tether. It is important to note that while wind speed
from these sensors appears to be relatively accurate when compared with
Doppler lidar measurements, a variety of factors, including the high-latitude
location, make the directional measurement inaccurate. Information on the
aerosol particle population was provided using a<?pagebreak page1352?> combination of two Handix
Scientific Printed Optical Particle Spectrometers (POPS) and a TSI
Condensation Particle Counter (CPC) 3007. The two POPS provide information
on the aerosol size distribution for particles between 140 and 3000 nm, while the
CPC provides information on the total number of particles between 10 and 1000 nm. Additionally, vibrating wire sensors from Anasphere and the University
of Reading provide information on the amount of supercooled liquid water in
cloud. These sensors were collectively referred to as “Supercooled Liquid
Water Content” (SLWC) sensors. Further details on all of these sensors and
the expected level of accuracy (where available) are included in Table 1.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e519">Known performance characteristics for TBS instruments. The asterisk
with wind direction denotes that these stated specifications have not been
met in the Arctic environment at Oliktok Point.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="justify" colwidth="142.26378pt"/>
     <oasis:colspec colnum="4" colname="col4" align="justify" colwidth="71.13189pt"/>
     <oasis:colspec colnum="5" colname="col5" align="justify" colwidth="71.13189pt"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">Resolution</oasis:entry>
         <oasis:entry colname="col3">Accuracy</oasis:entry>
         <oasis:entry colname="col4">Range</oasis:entry>
         <oasis:entry colname="col5">Response time</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col5">iMet-1-RSB </oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Pressure (hPa)</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M9" display="inline"><mml:mrow><mml:mi mathvariant="italic">&lt;</mml:mi><mml:mn mathvariant="normal">0.01</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M10" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.5</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">2–1070</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M11" display="inline"><mml:mrow><mml:mi mathvariant="italic">&lt;</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> s</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M12" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> (<inline-formula><mml:math id="M13" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C)</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M14" display="inline"><mml:mrow><mml:mi mathvariant="italic">&lt;</mml:mi><mml:mn mathvariant="normal">0.01</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M15" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M16" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">95</mml:mn></mml:mrow></mml:math></inline-formula> to 50</oasis:entry>
         <oasis:entry colname="col5">2 s</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">RH (%)</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M17" display="inline"><mml:mrow><mml:mi mathvariant="italic">&lt;</mml:mi><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M18" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">0–100</oasis:entry>
         <oasis:entry colname="col5">2 s @ 25 <inline-formula><mml:math id="M19" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">GPS altitude (m, m.s.l.)</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M20" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">15</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">0–30 000</oasis:entry>
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">GPS position (deg)</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M21" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col5">iMet XQ2 </oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Pressure (hPa)</oasis:entry>
         <oasis:entry colname="col2">0.01</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M22" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.5</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">10–1200</oasis:entry>
         <oasis:entry colname="col5">10 ms</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M23" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> (<inline-formula><mml:math id="M24" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C)</oasis:entry>
         <oasis:entry colname="col2">0.01</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M25" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M26" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">90</mml:mn></mml:mrow></mml:math></inline-formula> to 50</oasis:entry>
         <oasis:entry colname="col5">1 s @ 5 m s<inline-formula><mml:math id="M27" 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> flow</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">RH (%)</oasis:entry>
         <oasis:entry colname="col2">0.1</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M28" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">0–100</oasis:entry>
         <oasis:entry colname="col5">5.2 s @ 5 <inline-formula><mml:math id="M29" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col5">APRS World Wind Vane </oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Wind speed (m s<inline-formula><mml:math id="M30" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col2">0.1</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M31" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula> or 5 % (whichever is greater)</oasis:entry>
         <oasis:entry colname="col4">1–59</oasis:entry>
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Wind direction* (deg)</oasis:entry>
         <oasis:entry colname="col2">1</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M32" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">0–360</oasis:entry>
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col5">POPS </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Particle conc. (cm<inline-formula><mml:math id="M33" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M34" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">10</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="italic">%</mml:mi><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">1000</mml:mn></mml:mrow></mml:math></inline-formula> cm<inline-formula><mml:math id="M35" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> at 0.1 LPM</oasis:entry>
         <oasis:entry colname="col4">0–1250</oasis:entry>
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col5">CPC </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Particle conc. (cm<inline-formula><mml:math id="M36" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M37" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2.5</mml:mn></mml:mrow></mml:math></inline-formula>–3 %</oasis:entry>
         <oasis:entry colname="col4">0–<inline-formula><mml:math id="M38" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">4</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col5">TBS ground station </oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M39" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> (<inline-formula><mml:math id="M40" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C)</oasis:entry>
         <oasis:entry colname="col2">0.01</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M41" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M42" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">95</mml:mn></mml:mrow></mml:math></inline-formula> to 50</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M43" display="inline"><mml:mrow><mml:mi mathvariant="italic">&lt;</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> s</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">RH (%)</oasis:entry>
         <oasis:entry colname="col2">0.1</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M44" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula> @ 20 <inline-formula><mml:math id="M45" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C, <inline-formula><mml:math id="M46" display="inline"><mml:mrow><mml:mi mathvariant="italic">&lt;</mml:mi><mml:mn mathvariant="normal">90</mml:mn></mml:mrow></mml:math></inline-formula> % RH,  <inline-formula><mml:math id="M47" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula> @ 20 <inline-formula><mml:math id="M48" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C, <inline-formula><mml:math id="M49" display="inline"><mml:mrow><mml:mi mathvariant="italic">&gt;</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">90</mml:mn></mml:mrow></mml:math></inline-formula> % RH <inline-formula><mml:math id="M50" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.3</oasis:entry>
         <oasis:entry colname="col4">0.8–100</oasis:entry>
         <oasis:entry colname="col5">15 s @ 20 <inline-formula><mml:math id="M51" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d1e1238">The main role of the TBS in POPEYE was to collect detailed information on
the vertical structure of the lower atmosphere over the AMF-3. This provides
information on stratification and the temporal evolution of the lower
atmospheric structure. Additionally, the TBS is unique in that it is able to
fly in and above cloud for extended time periods, providing an opportunity
to collect in situ measurements of thermodynamic, aerosol and cloud
microphysical properties on low-altitude Arctic clouds. To accomplish this,
the TBS was flown as high as weather conditions would permit, conducting
repeated profiles with sensors distributed along the tether. While the exact
placement of the sensors would change from flight to flight to adapt to the
present conditions, in general the system was operated with a cluster of
sensors, including a POPS, CPC, iMet and SLWC near the top of the tether
under the balloon, a DTS fiber along the entire length of the tether, and
subsequent iMet sensors and anemometers below the main package as most
desirable based on the meteorological conditions. When flying the aerostat,
a second POPS would also be flown to get more detailed measurements of
evolution of the aerosol profile in time. A schematic outlining this
strategy is included in Fig. 2.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><?xmltex \currentcnt{2}?><label>Figure 2</label><caption><p id="d1e1243">An illustration of the proposed TBS flight pattern for clear or
cloudy conditions. The black lines are the proposed flight pattern, with
time on the horizontal axis.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://essd.copernicus.org/articles/11/1349/2019/essd-11-1349-2019-f02.png"/>

        </fig>

</sec>
<sec id="Ch1.S2.SS2">
  <label>2.2</label><title>DataHawk2 sUAS</title>
      <p id="d1e1260">Another instrument platform used during POPEYE was the Datahawk2 sUAS,
developed at the University of Colorado Boulder (description of the first
version of the DataHawk can be found in Lawrence and Balsley, 2013). The
DataHawk2 sUAS is a small (1.2 m wingspan, <inline-formula><mml:math id="M52" display="inline"><mml:mrow><mml:mi mathvariant="italic">&lt;</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> kg take-off weight),
robotic, pusher-prop aircraft designed to operate in a variety of conditions
as a flexible and inexpensive measurement platform (see Table 2 for the
specifications of the DataHawk2 UAS). The DataHawk2 has been
used for a variety of purposes, including the study of turbulence (e.g.,
Kantha et al., 2017; Balsley et al., 2018) and high-latitude (e.g., de Boer
et al., 2016, 2018) deployments. The relatively slow flight speed (14 m s<inline-formula><mml:math id="M53" 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>,
burst up to 22 m s<inline-formula><mml:math id="M54" 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>) allows the platform to obtain measurements at high
spatial resolution when compared to other aerial vehicles. Despite this
relatively slow speed, the DataHawk2 has been operated in winds of up to 12 m s<inline-formula><mml:math id="M55" 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>, making it a robust research platform for the harsh Arctic environment.
DataHawk2 flights completed under POPEYE were generally autopilot guided
except for during take-off and landing, when they were under the control of
a local pilot through real-time telemetry. All flights were completed within
radio communication range and within sight of the ground operators and were
conducted within restricted airspace (R-2204; see Fig. 1, de Boer et al.,
2016) controlled by the US DOE. This allowed operators to adjust the flight
plan in real time to meet the needs of the science objectives and adapt to
the changing environment. The ground controller and UAS communicate via 2.4 GHz radio with a range of approximately 10 km. Regulations limit DataHawk2
flight to within visual line of sight, meaning that it is not allowed to fly
into clouds and must follow VFR weather minimums for operation (14 CFR 91.155).
Additionally, winds hamper the operation of the DataHawk2, with DOE ARM
guidelines restricting flight when winds top 7 m s<inline-formula><mml:math id="M56" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2" specific-use="star"><?xmltex \currentcnt{2}?><label>Table 2</label><caption><p id="d1e1324">Known performance characteristics for DataHawk2 instruments. Note
that accuracy estimates of wind values are estimated based on recent
intercomparison with surface-based instrumentation and apply to a
higher-order derived product.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="left"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Data type</oasis:entry>
         <oasis:entry colname="col2">Resolution</oasis:entry>
         <oasis:entry colname="col3">Accuracy</oasis:entry>
         <oasis:entry colname="col4">Range</oasis:entry>
         <oasis:entry colname="col5">Response time</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">GPS position (deg)</oasis:entry>
         <oasis:entry colname="col2">0.010</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M57" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> m</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M58" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">180</mml:mn></mml:mrow></mml:math></inline-formula> to 180 (lon), <inline-formula><mml:math id="M59" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">90</mml:mn></mml:mrow></mml:math></inline-formula> to 90 (lat)</oasis:entry>
         <oasis:entry colname="col5">1 s</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">GPS altitude (m, m.s.l.)</oasis:entry>
         <oasis:entry colname="col2">0.010</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M60" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><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> to 15 000</oasis:entry>
         <oasis:entry colname="col5">1 s</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Baro pressure (mbar)</oasis:entry>
         <oasis:entry colname="col2">0.01</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M62" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2.5</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">500 to 1030</oasis:entry>
         <oasis:entry colname="col5">0.022 s</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Rel. humidity (%)</oasis:entry>
         <oasis:entry colname="col2">0.01</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M63" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">0 to 105</oasis:entry>
         <oasis:entry colname="col5">8 s</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Slow temp. (<inline-formula><mml:math id="M64" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C)</oasis:entry>
         <oasis:entry colname="col2">0.015</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M65" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M66" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">40</mml:mn></mml:mrow></mml:math></inline-formula> to 80</oasis:entry>
         <oasis:entry colname="col5">2 s</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Coldwire voltage (V)</oasis:entry>
         <oasis:entry colname="col2">0.0000078 (<inline-formula><mml:math id="M67" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">0.025</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M68" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C)</oasis:entry>
         <oasis:entry colname="col3">Unknown</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M69" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">40</mml:mn></mml:mrow></mml:math></inline-formula> to <inline-formula><mml:math id="M70" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">80</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">0.5 ms @ 15 m s<inline-formula><mml:math id="M71" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Airspeed (m s<inline-formula><mml:math id="M72" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col2">0.01</oasis:entry>
         <oasis:entry colname="col3">0.2</oasis:entry>
         <oasis:entry colname="col4">0 to 30</oasis:entry>
         <oasis:entry colname="col5">0.3 ms</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">iMet, EE03, temp (<inline-formula><mml:math id="M73" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C)</oasis:entry>
         <oasis:entry colname="col2">0.01</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M74" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M75" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">40</mml:mn></mml:mrow></mml:math></inline-formula> to <inline-formula><mml:math id="M76" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">85</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">1 s</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">iMet, EE03, RH (%)</oasis:entry>
         <oasis:entry colname="col2">0.01</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M77" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">0–95</oasis:entry>
         <oasis:entry colname="col5">1 s</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">wind_speed (m s<inline-formula><mml:math id="M78" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col2">0.01</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M79" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">0 to 100</oasis:entry>
         <oasis:entry colname="col5">0.1 s</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">wind_direction (deg)</oasis:entry>
         <oasis:entry colname="col2">0.01</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M80" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">15</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">0 to 360</oasis:entry>
         <oasis:entry colname="col5">0.1 s</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Vertical velocity (m s<inline-formula><mml:math id="M81" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col2">0.01</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M82" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M83" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">100</mml:mn></mml:mrow></mml:math></inline-formula> to <inline-formula><mml:math id="M84" display="inline"><mml:mn mathvariant="normal">100</mml:mn></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">0.1 s</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d1e1838">The DataHawk2 carries a variety of sensors to make measurements of the
atmospheric and surface states. Custom-built instrumentation includes a fine-wire sensor employing two cold wires and one hot wire. These provide
high-frequency (800 Hz) information on temperature and fine-scale
turbulence. High bandwidth is enabled by small surface-area-to-volume ratios
of very thin (5 <inline-formula><mml:math id="M85" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m diameter) wires. In addition, the DataHawk2 carries
a custom configuration that includes integrated-circuit slow response
sensors (Sensiron SHT-31) for measurement of temperature through a
calibrated semiconductor and relative humidity using a capacitive sensor.
For POPEYE specifically, the DataHawk2 also carried an E+E EE03 digital
temperature and humidity (capacitive) sensor that was externally mounted on
the airframe. For information on surface and sky temperatures, DataHawk2s
are equipped with up- and downward-looking thermopile sensors (Semitec
10TP583T with custom electronics). These sensors undergo a calibration using
targets of a known temperature. Finally, DataHawk2s have also carried the
commercially available iMet1 radiosonde package, providing comparative
information on position (GPS), temperature (bead thermistor), pressure
(piezoresistive) and relative humidity (capacitive), though these sensors
were not installed during POPEYE.</p>
      <p id="d1e1850">The main objective for the DataHawk2 was to obtain as many profiles as
possible of the lower atmosphere during daytime hours. To do this, the
aircraft was programmed to climb from the surface to the maximum obtainable
altitude. This maximum altitude was constrained by the pilot's ability to
maintain visual contact with the aircraft (1000 m a.g.l.) or by the cloud
ceiling. Because the endurance of the aircraft is approximately 50 min
in Arctic operating conditions, the aircraft could generally complete
between one and two full profiles before needing to land to change
batteries. The turnaround time between flights can be as short as 10 min, but is generally on the order of 15–30 min. Because of the
substantial interest in the interplay between thermodynamic<?pagebreak page1353?> and dynamic
properties near cloud base, during cloudy conditions, the operators were
requested to hold altitude around the cloud base height, as determined from
the observatory ceilometer and visual tracking of the aircraft, for 10–15 min to collect statistics of that environment before descending back
towards the surface. While the cloud base height is variable, ideally the
altitude held by the aircraft would be within 25 m of the mean cloudbase
level. Figure 3 provides an illustration outlining this flight pattern.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><?xmltex \currentcnt{3}?><label>Figure 3</label><caption><p id="d1e1855">An illustration of the proposed DataHawk2 flight pattern for clear
<bold>(a)</bold> and cloudy <bold>(b)</bold> conditions. The black lines are the proposed
flight pattern on a time axis, while the red lines indicate battery changes
in between flights.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://essd.copernicus.org/articles/11/1349/2019/essd-11-1349-2019-f03.png"/>

        </fig>

</sec>
<sec id="Ch1.S2.SS3">
  <label>2.3</label><title>Radiosondes</title>
      <p id="d1e1878">The DOE ARM program launched Vaisala RS-92 radiosondes on a regular schedule
under POPEYE. Due to concerns about operator safety and fatigue, the number
of radiosondes launched was scheduled at three per day, with requested
launch times of 05:30, 17:30 and 23:30 UTC (21:30, 09:30, 15:30 AKDT) to
match the 06:00, 18:00 and 00:00 UTC synoptic times. Radiosonde launches
were at times suspended due to dangerous conditions, including the presence
of bears on site, or high winds (<inline-formula><mml:math id="M86" display="inline"><mml:mrow><mml:mi mathvariant="italic">&gt;</mml:mi><mml:mn mathvariant="normal">13.5</mml:mn></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math id="M87" 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> sustained and
gusting <inline-formula><mml:math id="M88" display="inline"><mml:mrow><mml:mi mathvariant="italic">&gt;</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math id="M89" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) which could result in damage to the
sensor package if the balloon does not achieve enough vertical lift due to
the strong cross wind. Radiosondes are lifted using 350 g balloons with an
average ascent rate target of 5.5 m s<inline-formula><mml:math id="M90" 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>. Radiosonde data from the
campaign are available through<?pagebreak page1355?> the ARM data archive (Atmospheric Radiation
Measurement program, 2013a).</p>
</sec>
<sec id="Ch1.S2.SS4">
  <label>2.4</label><title>Overview of meteorological conditions sampled</title>
      <p id="d1e1946">The presence of the ARM AMF-3, allows us to put the measurements from the
radiosondes, TBS and UAS in a broader context. Figure 4 shows measurements
from the AMF-3 surface meteorological instrumentation (Atmospheric Radiation
Measurement Program, 2013b) over the 3-month POPEYE period.
Synoptically, this period featured several driving features. For much of the
campaign, there was a stationary area of high pressure positioned over the
Gulf of Alaska, and Oliktok Point sat on the gradient between this area of
high pressure and transient low pressure systems moving through the Chukchi
and Beaufort seas. This generally resulted in west–northwesterly winds
during this time period. Some of these cyclones passed closer to shore,
thereby directly impacting the Oliktok Point area and creating precipitation
events and shifting wind regimes (e.g., 7–10 July; 13 August; 16–17 August;
29–31 August). In late August there was a general shift in the pattern with
high pressure beginning to set up over northern Alaska and eventually over
the Beaufort Sea to the north. This resulted in a general shift towards
easterly winds at the surface. The end of the POPEYE campaign featured a
dominant area of high pressure over the area, resulting in weak easterly
winds.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4"><?xmltex \currentcnt{4}?><label>Figure 4</label><caption><p id="d1e1951">Surface meteorological conditions (1 min resolution), as
measured by instrumentation associated with the Oliktok Point AMF3 during
POPEYE. From top to bottom are 2 m air temperature, sea level pressure,
10 m wind speed, 10 m wind direction and surface precipitation rate.</p></caption>
          <?xmltex \igopts{width=170.716535pt}?><graphic xlink:href="https://essd.copernicus.org/articles/11/1349/2019/essd-11-1349-2019-f04.png"/>

        </fig>

      <p id="d1e1960">Considering the vertical structure of the lower atmosphere, the observations
included measurements from a variety of stability regimes. While the
presence of the sun in summer months generally results in more adiabatic
lower atmospheric states than during other times of year in the Arctic, the
data collected indicate sampling of both well-mixed and stratified
conditions. This includes several stable boundary layer cases. Additionally,
many of the completed flights were flown with some level of cloud cover in
place. While the UAS did not sample through the cloud, the TBS was able to
do so, providing insight into the thermodynamic and microphysical structure
in and around these clouds. Based on ceilometer data from the AMF-3
(Atmospheric Radiation Measurement Program, 2013c), a cloud base was detected
during 76 % of the campaign period. Of the times when clouds were
detected, 73 % of the cloud bases occurred below 1 km altitude, 21 %
occurred between 1 and 4 km altitude, and 6 % were found above 4 km.</p>
      <p id="d1e1964">In general, it is relevant and important to note that to some extent all of
the POPEYE platforms were weather-limited in terms of their operations.
Therefore, there is an element of selective sampling to consider when using
the collected data sets. Most directly, the TBS and UAS systems were
generally not operated during high winds. The UAS additionally had
limitations related to visibility. The radiosondes were least impacted,
though high winds did also prevent some launches.</p><?xmltex \hack{\newpage}?>
</sec>
<sec id="Ch1.S2.SS5">
  <label>2.5</label><title>Overview of completed flights and radiosonde launches</title>
      <p id="d1e1976">Over the 3-month period, there were limited data outages and challenges
related to the issues discussed in the previous sections. Figure 5
illustrates the operations completed under POPEYE. The most significant
challenge to continuous operations was the electromagnetic interference
(EMI) caused by a US Air Force radar station at Oliktok Point, located
approximately 150–300 m from the DataHawk2 flight areas. Modifications made
to this radar during the POPEYE time window unfortunately resulted in the
grounding of the DataHawk2s for their planned second and third deployments.
Additionally, this EMI resulted in some resets of the TBS instrumentation,
and errors in the TBS GPS readings. In addition, there were some challenges
associated with the Arctic weather. Despite it being summer, winds were a
challenge to both TBS and UAS flights at times, and also resulted in the
cancellation of some radiosonde launches. Wildlife also posed challenges, as
the site is visited by both brown and polar bears during the summer months.
The local presence of these large creatures generally required that
operators ceased outdoor operations, impacting all three<?pagebreak page1356?> measurement
platforms. Despite these challenges, the campaign totaled 238 radiosondes
launched, 52 TBS flights (134.3 flight hours), and 59 DataHawk2 flights
(64.6 flight hours). Figure 6 illustrates the completed flights in
time–height space.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><?xmltex \currentcnt{5}?><label>Figure 5</label><caption><p id="d1e1981">A graphical representation of actual UAS, TBS and radiosonde
operations during POPEYE.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://essd.copernicus.org/articles/11/1349/2019/essd-11-1349-2019-f05.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><?xmltex \currentcnt{6}?><label>Figure 6</label><caption><p id="d1e1992">A time–height cross section illustrating all of the POPEYE
radiosonde launches (black dots), DataHawk2 flights (red dots) and tethered
balloon flights (blue dots).</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://essd.copernicus.org/articles/11/1349/2019/essd-11-1349-2019-f06.png"/>

        </fig>

      <p id="d1e2002">A map indicating the horizontal extent of the TBS flights is shown in Fig. 7 (top). The horizontal distances covered are governed by the positioning of
the winch trailer for the system, the wind speed, and the amount of tether
extended. The points drifting over the ocean surface are the result of
erroneous GPS data, likely linked to EMI from the USAF radar system. The
distribution balloon altitudes (the highest sampling height for any given
TBS operation) is shown in Fig. 7 (bottom) and demonstrates that the
balloon typically sampled the lowest 1 km of the atmosphere. Because the
balloon can hover at a given altitude for extended time periods, there are
multiple peaks in the altitude distribution, notably at around 150, 300,
700 and 1000 m. These altitudes correspond to altitudes chosen for
extended sampling during the campaign. Also, a comparison of TBS altitudes
with ceilometer-based cloud base measurements indicates that the TBS was
operating at or above the lowest detected cloud base altitude 32 % of the
time.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7"><?xmltex \currentcnt{7}?><label>Figure 7</label><caption><p id="d1e2007">A spatial map of the POPEYE tethered balloon flight locations
(<bold>a</bold>, blue dots), including white range rings at 1 and 2 nautical miles
demonstrating the extent of R-2204 and the location of the AMF-3 (white
triangle). Panel <bold>(b)</bold> is a relative frequency distribution of the
altitudes sampled by the TBS during POPEYE. Satellite imagery was “Built
with ©Google Maps”, using their Application Programming Interface
(API).</p></caption>
          <?xmltex \igopts{width=170.716535pt}?><graphic xlink:href="https://essd.copernicus.org/articles/11/1349/2019/essd-11-1349-2019-f07.png"/>

        </fig>

      <p id="d1e2022">A map of the horizontal extent of the DataHawk2 flights is shown in Fig. 8
(top). All flights were conducted in close proximity to the AMF-3
instrumentation, within the restricted airspace outlined under R-2204. The
flight patterns consisted of profiling of the lowest 1 km of the atmosphere,
as indicated by the probability distribution of altitudes sampled in the
lower panel. This distribution is binned by 20 m increments and based on
this it becomes clear that most common altitude was between 20 and 40 m above
ground level (a.g.l.). From this altitude, the frequency of visiting higher
altitudes generally decreases slowly, resulting from limitations imparted by
visibility and winds.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8"><?xmltex \currentcnt{8}?><label>Figure 8</label><caption><p id="d1e2027">A spatial map of the POPEYE DataHawk2 flight locations (<bold>a</bold>, red
dots), including white range rings at 1 and 2 nautical miles
demonstrating the extent of R-2204 and the location of the AMF-3 (white
triangle). Panel <bold>(b)</bold> is a relative frequency distribution of the
altitudes sampled by the DataHawks during POPEYE. Satellite imagery was
“Built with ©Google Maps”, using their Application Programming
Interface (API).</p></caption>
          <?xmltex \igopts{width=170.716535pt}?><graphic xlink:href="https://essd.copernicus.org/articles/11/1349/2019/essd-11-1349-2019-f08.png"/>

        </fig>

      <p id="d1e2042">Figure 9 provides insight into the statistics of the radiosonde
measurements. The right panel indicates the distance away from Oliktok Point
that radiosondes traveled over the length of the POPEYE campaign. Within the
troposphere (<inline-formula><mml:math id="M91" display="inline"><mml:mrow><mml:mi mathvariant="italic">&lt;</mml:mi><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> km altitude), radiosondes generally remained
within 20 km of the Oliktok Point facility. However, a few balloons traveled
as far as 100 km away once in the stratosphere, with most staying within 50 km of the site all the way to the top of the profile. The temperature–height
histogram (Fig. 9b) reveals a general cooling of the air with
height through the depth of the troposphere, with most profiles cooling from
temperatures of 0–10 <inline-formula><mml:math id="M92" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C near the surface to around <inline-formula><mml:math id="M93" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">50</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M94" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C at the tropopause.
Additionally, there are indicators of frequent low-level inversions in the
lowest 1–2 km. There appear to be two modes of temperatures observed in the
stratosphere, with a dominant mode between <inline-formula><mml:math id="M95" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">40</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M96" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">50</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M97" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C, and a secondary
mode at around <inline-formula><mml:math id="M98" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">55</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M99" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C. Finally, a two-dimensional histogram of the winds with
height (Fig. 6, middle panel) illustrates a broad range of measurements
near the surface (0–20 m s<inline-formula><mml:math id="M100" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>), with winds generally increasing with
height through the troposphere to values ranging between 5 and 50 m s<inline-formula><mml:math id="M101" 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>.
Winds in the stratosphere again decrease to less than 10 m s<inline-formula><mml:math id="M102" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. Figure 10 illustrates time–height cross sections of radiosonde measurements of
temperature, relative humidity and wind speed for the duration of POPEYE.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9"><?xmltex \currentcnt{9}?><label>Figure 9</label><caption><p id="d1e2172">Two-dimensional histograms of radiosonde temperature <bold>(a)</bold>, wind
speed <bold>(b)</bold>, and distance from Oliktok Point <bold>(c)</bold>, with altitude
during POPEYE.</p></caption>
          <?xmltex \igopts{width=170.716535pt}?><graphic xlink:href="https://essd.copernicus.org/articles/11/1349/2019/essd-11-1349-2019-f09.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F10" specific-use="star"><?xmltex \currentcnt{10}?><label>Figure 10</label><caption><p id="d1e2192">POPEYE radiosonde data, including time–height cross sections of
<bold>(a–c)</bold> temperature, relative humidity and wind speed as observed
during the second YOPP Special Observing Period.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://essd.copernicus.org/articles/11/1349/2019/essd-11-1349-2019-f10.png"/>

        </fig>

      <p id="d1e2204">Finally, Fig. 11 provides an initial glimpse into measurements from the
POPS sensor on the TBS. The top panel illustrates the cumulative number
concentrations sampled, showing that the range of particle numbers measured
tended to decrease with height, and that higher concentrations were
typically sampled in the lowest parts of the atmosphere. This is likely a
result of the numerous near-surface sources associated with oil production
facilities in the vicinity of Oliktok Point. Additionally, there is some
level of contamination very close to the surface from the diesel generator
used to run the TBS winch system. The extent of this contamination is a
function of wind speed and atmospheric mixing state and cannot be generally
quantified. The second panel shows a similar two-dimensional histogram for
particle sizes. This figure illustrates that most particles sampled were
around 200 nm and that the balloon typically operated below 500 m. Again.
The spread of diameters measured appears to increase with decreasing height.
For both of the top panels it is important to keep in mind that white areas
do not necessarily mean that zero samples were observed in that bin, as the
lowest colorbar bin has some finite edges. The bottom panel shows the
relationship between particle size and concentration as a function of
altitude as observed over the campaign. There are numerous near-surface
(dark blue) points where high concentrations of smaller particles were
observed. These observations are complemented by measurements from the CPC
for the majority of campaign flights (not shown).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F11"><?xmltex \currentcnt{11}?><label>Figure 11</label><caption><p id="d1e2209">POPEYE aerosol statistics from the POPS sensor. Included are <bold>(a–c)</bold> a two-dimensional histogram of particle number concentrations
sampled as a function of height; a two-dimensional histogram of the particle
sized detected as a function of height; and a scatter plot showing the
relationship between size and number, with colors representing altitude.</p></caption>
          <?xmltex \igopts{width=170.716535pt}?><graphic xlink:href="https://essd.copernicus.org/articles/11/1349/2019/essd-11-1349-2019-f11.png"/>

          <?xmltex \hack{\vspace*{4mm}}?>
        </fig>

</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Data processing and quality control</title>
      <p id="d1e2232">The US DOE ARM program handles all data collection, quality control, and
processing for field campaigns. In general, several different levels of ARM
data are made available, ranging from raw data as recorded by the sensors
(a level), to quality-controlled data (b level) and data products (c level).
This section provides an overview of the processing and quality control
applied to the data streams coming from the platforms deployed during
POPEYE.</p>
      <p id="d1e2235">For the DataHawk, current processing techniques provide both raw and
processed data files. Aircraft performance and sensor data are gathered and
stored in a binary format on the onboard SD card. These binary format data are
the raw data that are archived by ARM (a0 level). Typically, these raw data are
invisible to the community user, but can be requested through the ARM data
discovery tool if desired. In addition, the data on the SD card are unpacked,
downsampled to 10 Hz, and assigned to a relevant array of variable names,
and then exported to NetCDF format as a processed raw data file (a1 level).
This data file includes data gathered by onboard sensors during flight,
aircraft performance data,<?pagebreak page1357?> telemetry data and GPS data. The next file that
is produced is a 10 Hz quality-controlled file that includes some initial
conversions (b1 level). For example, raw sensor data from the cold wire
sensor and onboard temperature sensors are used to convert the voltage
reported by the cold wire into a temperature value. Additionally, relative
humidity and infrared temperature values measured are calibrated and
converted from the engineering to relevant physical units. Wind components
are reconstructed using corrected pitot airspeed data, GPS data, and the
aircraft principle axis data to produce wind speed and direction and the
three wind components. Finally, a quality control step is applied to remove
any significant spikes in the data set. This quality-controlled data set is
the current final ARM data product for DataHawk2. An additional higher
frequency data product is under development for future release, which will
provide the turbulence parameters as a value added product (VAP).</p>
      <p id="d1e2238">Most of the TBS measurements undergo a similar processing and quality
control procedure. In particular, several quality control measures are
implemented on the POPS instrument. Included in this processing is a size
correction that is determined through routine size checks and calibration.
For the size check, 500 nm polystyrene latex (PSL) particles are generated
to evaluate the signal response from the POPS instrument and confirm that
the instrument performance is steady over the course of the campaign. For
the calibration, eight different PSL particle sizes are used to determine
the relationship between the optical response signal and particle size. In
addition, a flow correction is applied, which is based on routine checks
using a flow meter. For the CPC, routine calibrations are conducted to
ensure that the flow rate is correct. Additionally, ground-based comparisons
are conducted with other butanol CPCs to ensure that measured particle
concentrations are within 15 % of one another. Also, daily zero count
checks are completed, and the alcohol wick<?pagebreak page1358?> is recharged and replaced as
needed while the instrument is deployed to the field. Finally, CPC data are
flagged as “questionable” when particle concentrations are higher than
10<inline-formula><mml:math id="M103" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">5</mml:mn></mml:msup></mml:math></inline-formula> cm<inline-formula><mml:math id="M104" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, because of a lack of correction for coincident sampling
at high concentrations.</p>
      <p id="d1e2262">Radiosonde data are processed as quality-controlled measurements, with
quality control being completed proprietary Vaisala software that corrects
for sensor response time and solar radiation exposure.</p>
</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Data availability</title>
      <p id="d1e2273">The data files from POPEYE observations are available for public download
through the US DOE ARM Program Data Archive (<uri>http://www.archive.arm.gov/discovery/</uri>, last access: July 2019). ARM uses NetCDF as the standard
data file format, with self-describing metadata provided to the user inside
the NetCDF file. The data are posted as individual data streams on the
archive, which is searchable by site (in this case OLI for Oliktok Point)
and instrument (in this case “TBS” for the tethered balloons,
“aafdatahawk” for the DataHawk2, and “sonde” for the radiosondes). Each
instrument may have several different levels of data available.</p>
      <p id="d1e2279">The main TBS data stream for measurements from the iMet instruments and basic
information on aerosol instrumentation is <italic>olitbsimetM1.a1</italic> (<ext-link xlink:href="https://doi.org/10.5439/1426242" ext-link-type="DOI">10.5439/1426242</ext-link>, Atmospheric Radiation
Measurement Program, 2017). ARM is
currently working to produce a quality-controlled b1 product. Data from the
DTS system have been collected by the ARM Data Management Facility (DMF), and
can be requested by email to armarchive@ornl.gov, with the
appropriate DTS data streams for POPEYE being <italic>tbsdtssxforjch1</italic>, <italic>tbsdtssxforjch2</italic>, <italic>tbsdtssxch1</italic>, and <italic>tbsdtssxch2</italic>. SLW sensor data are
available through the ARM archive under the <italic>tbsslwc.b0 </italic>data stream, while the TBS
aerosol instrumentation can also be downloaded through the archive as
<italic>tbscpcM1.00</italic>, <italic>tbspopdryM1.00</italic>, and <italic>tbspopwetM1.00</italic>. All of these data sets are currently provided at 1 Hz. TBS ground
station data, including temperature, humidity, pressure and winds at the
surface, are available as b-level files on the archive under the file prefix
“olitbsgroundM1” as 10 min average values.</p>
      <?pagebreak page1359?><p id="d1e2313">Quality-controlled DataHawk data can be downloaded as
<italic>oliaafdatahawkmetU1.b1</italic> (<ext-link xlink:href="https://doi.org/10.5439/1418259" ext-link-type="DOI">10.5439/1418259</ext-link>, Atmospheric Radiation
Measurement Program, 2016). Finally, the POPEYE radisonde data set is available
as a QC'd b1 data set, with the filenames being of the general form
olisondewnpnM1.b1 (<ext-link xlink:href="https://doi.org/10.5439/1021460" ext-link-type="DOI">10.5439/1021460</ext-link>, Atmospheric Radiation
Measurement Program, 2013a), where wnpn” refers to the mode of
the sonde data collection. Here, “w”=winds, “p”=PTU (pressure,
temperature, humidity), and “n”=nominal indicates a normal flight with
data collection during ascent only.</p>
      <p id="d1e2325">To make it possible for scientists to cite DOE ARM program data in their
publications, ARM recognizes the value of digital object identifiers (DOIs).
Such DOIs are generally being generated at the ARM data product level. Data
products produced from the a-level data may have their own DOI – for
example, separate DOIs are assigned to each of the available output
data streams and any value-added products (VAPs) from the radiosonde
measurements obtained by ARM. This means that it is possible that POPEYE
measurements could be spread across a variety of DOIs, and that additional
DOIs could be created that include POPEYE data as additional data products
are developed.</p>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <label>5</label><title>Summary</title>
      <p id="d1e2337">Between 1 July and 30 September 2018, the POPEYE measurement team collected
detailed measurements of the lower Arctic atmosphere at Oliktok Point,
Alaska, using tethered balloons, unmanned aircraft and radiosondes. This
activity resulted in the completion of 134.3 TBS flight hours, 64.6 sUAS
flight hours, and 238 radiosonde launches. The primary focus of POPEYE was
to provide detailed measurements of the lower atmosphere, including
thermodynamic state, aerosol properties, cloud microphysical properties,
winds, and surface temperature. UAS flights covered the atmosphere between
the surface and 1 km altitude but were unfortunately called off early due to
EMI from the nearby long-range surveillance radar system operated by the US
Air Force. Tethered balloon measurements went as high as 1396 m using two
different balloons. Radiosondes were launched at a frequency of three times
daily, except when environmental conditions (winds <inline-formula><mml:math id="M105" display="inline"><mml:mrow><mml:mi mathvariant="italic">&gt;</mml:mi><mml:mn mathvariant="normal">13.1</mml:mn></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math id="M106" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, bears) prevented balloon launches. These data sets provide a
detailed look at processes in the lower atmosphere and set the stage for
detailed evaluation of numerical models and, together with ongoing,
continuous measurements from the AMF-3, support the development of modeling
case studies for process understanding and evaluation of parameterization
performance.</p>
      <p id="d1e2362">Quality-controlled versions of the data collected as a part of POPEYE are
available on the US DOE ARM data archive. This archive is publicly
accessible and allows users to download data from these platforms and all
other ARM-operated instrumentation, including measurements from the AMF-3
deployment at Oliktok Point.</p>
</sec>

      
      </body>
    <back><notes notes-type="authorcontribution"><title>Author contributions</title>

      <?pagebreak page1360?><p id="d1e2369">GdB designed the field campaign, acted as principal investigator for POPEYE,
conducted field work as part of POPEYE, and led the development of the
manuscript. DD, CL and MA were the primary TBS operators during POPEYE,
contributed to the processing of TBS data, and contributed to the writing
and review of the manuscript. JH, PJC, and LG were the primary DataHawk2
operators during POPEYE and contributed to the processing of DataHawk2 data
and the writing and review of the manuscript. DO, JL, MC and NB are site
operators at Oliktok Point and conducted the radiosonde launches,
contributed to site operations during POPEYE and assisted the DataHawk2 and
TBS teams while in the field. FM is the instrument mentor for TBS aerosol
instrumentation as well as for the DataHawk2 and contributed to data
preparation and processing for POPEYE as well as manuscript writing and
review. MS, AS, and JI are POPEYE Co-PIs and contributed to campaign
planning, field work, and oversight as well as the writing and review of
this paper. DL is the primary DataHawk2 developer and contributed to
the development and review of the DataHawk2 data set. AD helped with the
development of wind estimation techniques using the DataHawk2. DH is the ARM
instrument mentor for the radiosondes and contributed to the processing of
the radiosonde data set as well as the writing and review of this paper.
Finally, MDI and BS manage the teams responsible for operation of the TBS and
DataHawk2. Additionally, MI is the primary site manager at the AMF-3. They
both oversaw and supported campaign activities and additionally contributed
to the review of this paper.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e2375">The authors declare that they have no conflict of interest.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e2381">This work was supported by the US Department of Energy Atmospheric Radiation
Measurement Program. Support for campaign planning and execution was
provided by the US DOE Atmospheric System Research Program under project
DE-SC0013306. Finally, additional support was provided by the NOAA Physical
Sciences Division. We would like to thank the US Air Force for providing
access to the Oliktok Point facility, ENI Petroleum who supported our teams
at their Nikaitchuq Operations Center, and ConocoPhillips who housed team
members at the Kuparuk camp. Finally, POPEYE is an officially endorsed
contribution to the Year of Polar Prediction (YOPP), a flagship activity of
the Polar Prediction Project (PPP), initiated by the World Weather Research
Programme (WWRP) of the World Meteorological Organisation (WMO). We
acknowledge the WMO WWRP for its role in coordinating this international
research activity.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e2386">This research has been supported by the US Department of Energy (grant no. DE-SC0013306).</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e2392">This paper was edited by Alexander Kokhanovsky and reviewed by three anonymous referees.</p>
  </notes><?xmltex \hack{\newpage}?><ref-list>
    <title>References</title>

      <ref id="bib1.bib1"><label>1</label><?label 1?><mixed-citation>Atmospheric Radiation Measurement (ARM) user facility: updated hourly,
Balloon-Borne Sounding System (SONDEWNPN), 2018-07-01 to 2018-10-01, ARM
Mobile Facility (OLI) Oliktok Point, Alaska; AMF3 (M1), compiled by:
Holdridge, D., Kyrouac, J., and Coulter, R., ARM Data Center,  <ext-link xlink:href="https://doi.org/10.5439/1021460" ext-link-type="DOI">10.5439/1021460</ext-link> (accessed: 8 November 2018), 2013a.</mixed-citation></ref>
      <ref id="bib1.bib2"><label>2</label><?label 1?><mixed-citation>Atmospheric Radiation Measurement (ARM) user facility: updated hourly,
Surface Meteorological Instrumentation (MET), 2018-07-01 to 2018-10-01, ARM
Mobile Facility (OLI) Oliktok Point, Alaska; AMF3 (M1), compiled by
Holdridge, D. and Kyrouac, J., ARM Data Center, Data set
accessed 2018-11-08 at <ext-link xlink:href="https://doi.org/10.5439/1025220" ext-link-type="DOI">10.5439/1025220</ext-link> (accessed: 8 November 2018), 2013b.</mixed-citation></ref>
      <ref id="bib1.bib3"><label>3</label><?label 1?><mixed-citation>Atmospheric Radiation Measurement (ARM) user facility: updated hourly,
Ceilometer (CEIL), 2018-07-01 to 2018-10-01, ARM Mobile Facility
(OLI) Oliktok Point, Alaska; AMF3 (M1), compiled by: Ermold, B. and Morris, V.,
ARM Data Center, <ext-link xlink:href="https://doi.org/10.5439/1181954" ext-link-type="DOI">10.5439/1181954</ext-link> (accessed: 8 November 2018), 2013c.</mixed-citation></ref>
      <ref id="bib1.bib4"><label>4</label><?label 1?><mixed-citation>Atmospheric Radiation Measurement (ARM) user facility: updated hourly,
Meteorological Instrumentation aboard Aircraft (AAFDATAHAWKMET), 2016-06-06
to 2018-08-07, ARM Mobile Facility (OLI) DataHawk Unmanned Aerial System
(U1), compiled by: Mei, F. and Hubbe, J., ARM Data Center, <ext-link xlink:href="https://doi.org/10.5439/1418259" ext-link-type="DOI">10.5439/1418259</ext-link>  (accessed: 11 March 2019), 2016.</mixed-citation></ref>
      <ref id="bib1.bib5"><label>5</label><?label 1?><mixed-citation>Atmospheric Radiation Measurement (ARM) user facility, updated hourly,
Tethered Balloon System (TBSIMET), 2017-04-09 to 2018-09-28, ARM Mobile
Facility (OLI) Oliktok Point, Alaska; AMF3 (M1), compiled by: Dexheimer, D.
and Shi, Y., ARM Data Center, <ext-link xlink:href="https://doi.org/10.5439/1426242" ext-link-type="DOI">10.5439/1426242</ext-link> (accessed: 11 March 2019), 2017.</mixed-citation></ref>
      <ref id="bib1.bib6"><label>6</label><?label 1?><mixed-citation>Balsley, B. B., Lawrence, D. A., Fritts, D. C., Wang, L., Wan, K., and Werne,
J.: Fine Structure, Instabilities, and Turbulence in the Lower Atmosphere:
High-Resolution In Situ Slant-Path Measurements with the DataHawk UAV and
Comparisons with Numerical Modeling, J. Atmos. Oceanic Technol., 35, 619–642, <ext-link xlink:href="https://doi.org/10.1175/JTECH-D-16-0037.1" ext-link-type="DOI">10.1175/JTECH-D-16-0037.1</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bib7"><label>7</label><?label 1?><mixed-citation>Comiso, J. C., Parkinson, C. L., Gersten, R., and Stock, L.: Accelerated
decline in the Arctic sea ice cover, Geophys. Res. Lett., 35, L01703, <ext-link xlink:href="https://doi.org/10.1029/2007GL031972" ext-link-type="DOI">10.1029/2007GL031972</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bib8"><label>8</label><?label 1?><mixed-citation>de Boer, G., Ivey, M. D., Schmid, B., McFarlane, S., and Petty, R.: Unmanned
platforms monitor the Arctic atmosphere, EOS, 97, <ext-link xlink:href="https://doi.org/10.1029/2016EO046441" ext-link-type="DOI">10.1029/2016EO046441</ext-link>,
2016.</mixed-citation></ref>
      <ref id="bib1.bib9"><label>9</label><?label 1?><mixed-citation>de Boer, G., Ivey, M. D., Schmid, B., Lawrence, D., Dexheimer, D., Mei, F.,
Hubbe, J., Hardesty, J. O. E., Bendure, A., Shupe, M. D., McComiskey, A., Telg,
H., Schmitt, C., Matrosov, S., Brooks, I., Creamean, J. M., Solomon, A.,
Turner, D. D., Williams, C., Maahn, M., Argrow, B., Palo, S., Long, C. N.,
Gao, R.-S., and Mather, J.: A Bird's Eye View: Development of an Operational
ARM Unmanned Aerial Systems Capability for Atmospheric Research in Arctic
Alaska, B. Am. Meteor. Soc., 99, 1197–1212, <ext-link xlink:href="https://doi.org/10.1175/BAMS-D-17-0156.1" ext-link-type="DOI">10.1175/BAMS-D-17-0156.1</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bib10"><label>10</label><?label 1?><mixed-citation>de Jong, S. A. P., Slingerland, J. D., and van de Giesen, N. C.: Fiber optic distributed temperature sensing for the determination of air temperature, Atmos. Meas. Tech., 8, 335–339, <ext-link xlink:href="https://doi.org/10.5194/amt-8-335-2015" ext-link-type="DOI">10.5194/amt-8-335-2015</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib11"><label>11</label><?label 1?><mixed-citation>
Dobricic, S., Vignati, E., and Russo, S.: Large-scale atmospheric warming in
winter and the Arctic sea ice retreat, J. Clim., 29, 2869–2888, 2016.</mixed-citation></ref>
      <ref id="bib1.bib12"><label>12</label><?label 1?><mixed-citation>
Graversen, R. G., Mauritsen, T., Tjernström, M., Källén,
E., and Svensson, G.: Vertical structure of recent Arctic warming, Nature, 451,
53–56, 2008.</mixed-citation></ref>
      <ref id="bib1.bib13"><label>13</label><?label 1?><mixed-citation>
Ho, J.: The implications of Arctic sea ice decline on shipping, Marine Pol.,
34, 713–715, 2010.</mixed-citation></ref>
      <ref id="bib1.bib14"><label>14</label><?label 1?><mixed-citation>
Hudson, S. R., Granskog, M. A., Sundfjord, A., Randelhoff, A., Renner, A. H. H.,
and Divine, D. V.: Energy budget of first-year Arctic sea ice in advanced
stages of melt, Geophys. Res. Lett., 40, 2679–2683, 2013.</mixed-citation></ref>
      <ref id="bib1.bib15"><label>15</label><?label 1?><mixed-citation>Inoue, J., Yamazaki, A., Ono, J., Dethloff, K., Maturilli, M., Neuber, R.,
Edwards, P., and Yamaguchi, H.: Additional Arctic observations improve
weather and sea-ice forecasts for the Northern Sea Route, Sci. Report., 5, 16868, <ext-link xlink:href="https://doi.org/10.1038/srep16868" ext-link-type="DOI">10.1038/srep16868</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib16"><label>16</label><?label 1?><mixed-citation>
Jung, T., Kasper, M. A., Semmler, T., and Serrar, S.: Arctic influence on
sub-seasonal midlatitude prediction, Geophys. Res. Lett., 41, 3676–3680, 2014.</mixed-citation></ref>
      <ref id="bib1.bib17"><label>17</label><?label 1?><mixed-citation>Kantha, L., Lawrence, D., Luce, H., Hashiguchi, H., Tsuda, T., Wilson, R.,
Mixa, T., and Yabuki, M.: Shigaraki UAV-Radar Experiment (ShUREX): overview
of the campaign with some preliminary results, Prog. Earth. Planet. Sci., 4, 19, <ext-link xlink:href="https://doi.org/10.1186/s40645-017-0133-x" ext-link-type="DOI">10.1186/s40645-017-0133-x</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bib18"><label>18</label><?label 1?><mixed-citation>Keller, C. A., Huwald, H., Vollmer, M. K., Wenger, A., Hill, M., Parlange, M. B., and Reimann, S.: Fiber optic distributed temperature sensing for the determination of the nocturnal atmospheric boundary layer height, Atmos. Meas. Tech., 4, 143–149, <ext-link xlink:href="https://doi.org/10.5194/amt-4-143-2011" ext-link-type="DOI">10.5194/amt-4-143-2011</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib19"><label>19</label><?label 1?><mixed-citation>Lawrence, D. A. and Balsley, B. B.: High-Resolution Atmospheric Sensing of
Multiple Atmospheric Variables Using the DataHawk Small Airborne Measurement
System, J. Atmos. Oceanic Technol., 30, 2352–2366, <ext-link xlink:href="https://doi.org/10.1175/JTECH-D-12-00089.1" ext-link-type="DOI">10.1175/JTECH-D-12-00089.1</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib20"><label>20</label><?label 1?><mixed-citation>Maslanik, J., Stroeve, J., Fowler, C., and Emery, W.: Distribution and trends
in Arctic sea ice age through spring 2011, Geophys. Res. Lett., 38, L13502, <ext-link xlink:href="https://doi.org/10.1029/2011GL047735" ext-link-type="DOI">10.1029/2011GL047735</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib21"><label>21</label><?label 1?><mixed-citation>
Mayer, M., Haimberger, L., Pietschnig, M., and Storto, A.: Facets of Arctic
energy accumulation based on observations and reanalyses 2000–2015,
Geophys. Res. Lett., 43, 10420–10429, 2016.</mixed-citation></ref>
      <ref id="bib1.bib22"><label>22</label><?label 1?><mixed-citation>
Screen, J. A. and Simmonds, I.: The central role of diminishing sea ice in
recent Arctic temperature amplification, Nature, 464, 1334–1337, 2010.</mixed-citation></ref>
      <ref id="bib1.bib23"><label>23</label><?label 1?><mixed-citation>
Serreze, M. C., Holland, M. M., and Stroeve, J.: Perspectives on the Arctic's
shrinking sea ice cover, Science, 315, 1533–1536, 2007.</mixed-citation></ref>
      <ref id="bib1.bib24"><label>24</label><?label 1?><mixed-citation>
Smith, L. C. and Stephenson, S. R.: New Trans-Arctic shipping routes navigable
by midcentury, P. Natl. Acad. Sci., 110, E1191–E1195, 2013.</mixed-citation></ref>
      <ref id="bib1.bib25"><label>25</label><?label 1?><mixed-citation>Uttal, T., Starkweather, S., Drummond, J. R., Vihma, T., Makshtas, A. P.,
Darby, L. S., Burkhart, J. F., Cox, C. J., Schmeisser, L. N., Haiden, T.,
Maturilli, M., Shupe, M. D., de Boer, G., Saha, A., Grachev, A. A., Crepinsek,
S. M., Bruhwiler, L., Goodison, B., McArthur, B., Walden, V. P., Dlugokencky,
E. J., Persson, P. O. G., Lesins, G., Laurila, T., Ogren, J. A., Stone, R.,
Long, C. N., Sharma, S., Massling, A., Turner, D. D., Stanitski, D. M.<?pagebreak page1362?>, Asmi,
E., Aurela, M., Skov, H., Eleftheriadis, K., Virkkula, A., Platt, A.,
Førland, E. J., Iijima, Y., Nielsen, I. E., Bergin, M. H., Candlish, L.,
Zimov, N. S., Zimov, S. A., O'Neill, N. T., Fogal, P. F., Kivi, R.,
Konopleva-Akish, E. A., Verlinde, J., Kustov, V. Y., Vasel, B., Ivakhov, V. M.,
Viisanen, Y., and Intrieri, J. M.: International Arctic Systems for Observing
the Atmosphere: An International Polar Year Legacy Consortium, B. Am. Meteor. Soc., 97, 1033–1056, <ext-link xlink:href="https://doi.org/10.1175/BAMS-D-14-00145.1" ext-link-type="DOI">10.1175/BAMS-D-14-00145.1</ext-link>,
2016.</mixed-citation></ref>

  </ref-list></back>
    <!--<article-title-html>Atmospheric observations made at Oliktok Point, Alaska, as part of the Profiling at Oliktok Point to Enhance YOPP Experiments (POPEYE) campaign</article-title-html>
<abstract-html><p>Between 1 July and 30 September 2018, small unmanned aircraft
systems (sUAS), tethered balloon systems (TBSs), and additional radiosondes
were deployed at Oliktok Point, Alaska, to measure the atmosphere in support
of the second special observing period for the Year of Polar Prediction
(YOPP). These measurements, collected as part of the Profiling at Oliktok
Point to Enhance YOPP Experiments (POPEYE) campaign, targeted quantities
related to enhancing our understanding of boundary layer structure, cloud
and aerosol properties and surface–atmosphere exchange and providing extra
information for model evaluation and improvement work. Over the 3-month
campaign, a total of 59 DataHawk2 sUAS flights, 52 TBS flights, and 238
radiosonde launches were completed as part of POPEYE. The data from
these coordinated activities provide a comprehensive three-dimensional data
set of the atmospheric state (air temperature, humidity, pressure, and
wind), surface skin temperature, aerosol properties, and cloud microphysical
information over Oliktok Point. These data sets have been checked for
quality and submitted to the US Department of Energy (DOE) Atmospheric
Radiation Measurement (ARM) program data archive
(<a href="http://www.archive.arm.gov/discovery/" target="_blank">http://www.archive.arm.gov/discovery/</a>, last access: July 2019) and are accessible at no cost by all
registered users. The primary dataset DOIs are <a href="https://doi.org/10.5439/1418259" target="_blank">https://doi.org/10.5439/1418259</a> (DataHawk2
measurements; Atmospheric Radiation Measurement Program, 2016),
<a href="https://doi.org/10.5439/1426242" target="_blank">https://doi.org/10.5439/1426242</a> (TBS measurements; Atmospheric Radiation Measurement
Program, 2017) and <a href="https://doi.org/10.5439/1021460" target="_blank">https://doi.org/10.5439/1021460</a> (radiosonde measurements; Atmospheric
Radiation Measurement Program, 2013a).</p></abstract-html>
<ref-html id="bib1.bib1"><label>1</label><mixed-citation>
Atmospheric Radiation Measurement (ARM) user facility: updated hourly,
Balloon-Borne Sounding System (SONDEWNPN), 2018-07-01 to 2018-10-01, ARM
Mobile Facility (OLI) Oliktok Point, Alaska; AMF3 (M1), compiled by:
Holdridge, D., Kyrouac, J., and Coulter, R., ARM Data Center,  <a href="https://doi.org/10.5439/1021460" target="_blank">https://doi.org/10.5439/1021460</a> (accessed: 8 November 2018), 2013a. </mixed-citation></ref-html>
<ref-html id="bib1.bib2"><label>2</label><mixed-citation>
Atmospheric Radiation Measurement (ARM) user facility: updated hourly,
Surface Meteorological Instrumentation (MET), 2018-07-01 to 2018-10-01, ARM
Mobile Facility (OLI) Oliktok Point, Alaska; AMF3 (M1), compiled by
Holdridge, D. and Kyrouac, J., ARM Data Center, Data set
accessed 2018-11-08 at <a href="https://doi.org/10.5439/1025220" target="_blank">https://doi.org/10.5439/1025220</a> (accessed: 8 November 2018), 2013b.
</mixed-citation></ref-html>
<ref-html id="bib1.bib3"><label>3</label><mixed-citation>
Atmospheric Radiation Measurement (ARM) user facility: updated hourly,
Ceilometer (CEIL), 2018-07-01 to 2018-10-01, ARM Mobile Facility
(OLI) Oliktok Point, Alaska; AMF3 (M1), compiled by: Ermold, B. and Morris, V.,
ARM Data Center, <a href="https://doi.org/10.5439/1181954" target="_blank">https://doi.org/10.5439/1181954</a> (accessed: 8 November 2018), 2013c.
</mixed-citation></ref-html>
<ref-html id="bib1.bib4"><label>4</label><mixed-citation>
Atmospheric Radiation Measurement (ARM) user facility: updated hourly,
Meteorological Instrumentation aboard Aircraft (AAFDATAHAWKMET), 2016-06-06
to 2018-08-07, ARM Mobile Facility (OLI) DataHawk Unmanned Aerial System
(U1), compiled by: Mei, F. and Hubbe, J., ARM Data Center, <a href="https://doi.org/10.5439/1418259" target="_blank">https://doi.org/10.5439/1418259</a>  (accessed: 11 March 2019), 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib5"><label>5</label><mixed-citation>
Atmospheric Radiation Measurement (ARM) user facility, updated hourly,
Tethered Balloon System (TBSIMET), 2017-04-09 to 2018-09-28, ARM Mobile
Facility (OLI) Oliktok Point, Alaska; AMF3 (M1), compiled by: Dexheimer, D.
and Shi, Y., ARM Data Center, <a href="https://doi.org/10.5439/1426242" target="_blank">https://doi.org/10.5439/1426242</a> (accessed: 11 March 2019), 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib6"><label>6</label><mixed-citation>
Balsley, B. B., Lawrence, D. A., Fritts, D. C., Wang, L., Wan, K., and Werne,
J.: Fine Structure, Instabilities, and Turbulence in the Lower Atmosphere:
High-Resolution In Situ Slant-Path Measurements with the DataHawk UAV and
Comparisons with Numerical Modeling, J. Atmos. Oceanic Technol., 35, 619–642, <a href="https://doi.org/10.1175/JTECH-D-16-0037.1" target="_blank">https://doi.org/10.1175/JTECH-D-16-0037.1</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib7"><label>7</label><mixed-citation>
Comiso, J. C., Parkinson, C. L., Gersten, R., and Stock, L.: Accelerated
decline in the Arctic sea ice cover, Geophys. Res. Lett., 35, L01703, <a href="https://doi.org/10.1029/2007GL031972" target="_blank">https://doi.org/10.1029/2007GL031972</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib8"><label>8</label><mixed-citation>
de Boer, G., Ivey, M. D., Schmid, B., McFarlane, S., and Petty, R.: Unmanned
platforms monitor the Arctic atmosphere, EOS, 97, <a href="https://doi.org/10.1029/2016EO046441" target="_blank">https://doi.org/10.1029/2016EO046441</a>,
2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib9"><label>9</label><mixed-citation>
de Boer, G., Ivey, M. D., Schmid, B., Lawrence, D., Dexheimer, D., Mei, F.,
Hubbe, J., Hardesty, J. O. E., Bendure, A., Shupe, M. D., McComiskey, A., Telg,
H., Schmitt, C., Matrosov, S., Brooks, I., Creamean, J. M., Solomon, A.,
Turner, D. D., Williams, C., Maahn, M., Argrow, B., Palo, S., Long, C. N.,
Gao, R.-S., and Mather, J.: A Bird's Eye View: Development of an Operational
ARM Unmanned Aerial Systems Capability for Atmospheric Research in Arctic
Alaska, B. Am. Meteor. Soc., 99, 1197–1212, <a href="https://doi.org/10.1175/BAMS-D-17-0156.1" target="_blank">https://doi.org/10.1175/BAMS-D-17-0156.1</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib10"><label>10</label><mixed-citation>
de Jong, S. A. P., Slingerland, J. D., and van de Giesen, N. C.: Fiber optic distributed temperature sensing for the determination of air temperature, Atmos. Meas. Tech., 8, 335–339, <a href="https://doi.org/10.5194/amt-8-335-2015" target="_blank">https://doi.org/10.5194/amt-8-335-2015</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib11"><label>11</label><mixed-citation>
Dobricic, S., Vignati, E., and Russo, S.: Large-scale atmospheric warming in
winter and the Arctic sea ice retreat, J. Clim., 29, 2869–2888, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib12"><label>12</label><mixed-citation>
Graversen, R. G., Mauritsen, T., Tjernström, M., Källén,
E., and Svensson, G.: Vertical structure of recent Arctic warming, Nature, 451,
53–56, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib13"><label>13</label><mixed-citation>
Ho, J.: The implications of Arctic sea ice decline on shipping, Marine Pol.,
34, 713–715, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib14"><label>14</label><mixed-citation>
Hudson, S. R., Granskog, M. A., Sundfjord, A., Randelhoff, A., Renner, A. H. H.,
and Divine, D. V.: Energy budget of first-year Arctic sea ice in advanced
stages of melt, Geophys. Res. Lett., 40, 2679–2683, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib15"><label>15</label><mixed-citation>
Inoue, J., Yamazaki, A., Ono, J., Dethloff, K., Maturilli, M., Neuber, R.,
Edwards, P., and Yamaguchi, H.: Additional Arctic observations improve
weather and sea-ice forecasts for the Northern Sea Route, Sci. Report., 5, 16868, <a href="https://doi.org/10.1038/srep16868" target="_blank">https://doi.org/10.1038/srep16868</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib16"><label>16</label><mixed-citation>
Jung, T., Kasper, M. A., Semmler, T., and Serrar, S.: Arctic influence on
sub-seasonal midlatitude prediction, Geophys. Res. Lett., 41, 3676–3680, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib17"><label>17</label><mixed-citation>
Kantha, L., Lawrence, D., Luce, H., Hashiguchi, H., Tsuda, T., Wilson, R.,
Mixa, T., and Yabuki, M.: Shigaraki UAV-Radar Experiment (ShUREX): overview
of the campaign with some preliminary results, Prog. Earth. Planet. Sci., 4, 19, <a href="https://doi.org/10.1186/s40645-017-0133-x" target="_blank">https://doi.org/10.1186/s40645-017-0133-x</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib18"><label>18</label><mixed-citation>
Keller, C. A., Huwald, H., Vollmer, M. K., Wenger, A., Hill, M., Parlange, M. B., and Reimann, S.: Fiber optic distributed temperature sensing for the determination of the nocturnal atmospheric boundary layer height, Atmos. Meas. Tech., 4, 143–149, <a href="https://doi.org/10.5194/amt-4-143-2011" target="_blank">https://doi.org/10.5194/amt-4-143-2011</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib19"><label>19</label><mixed-citation>
Lawrence, D. A. and Balsley, B. B.: High-Resolution Atmospheric Sensing of
Multiple Atmospheric Variables Using the DataHawk Small Airborne Measurement
System, J. Atmos. Oceanic Technol., 30, 2352–2366, <a href="https://doi.org/10.1175/JTECH-D-12-00089.1" target="_blank">https://doi.org/10.1175/JTECH-D-12-00089.1</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib20"><label>20</label><mixed-citation>
Maslanik, J., Stroeve, J., Fowler, C., and Emery, W.: Distribution and trends
in Arctic sea ice age through spring 2011, Geophys. Res. Lett., 38, L13502, <a href="https://doi.org/10.1029/2011GL047735" target="_blank">https://doi.org/10.1029/2011GL047735</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib21"><label>21</label><mixed-citation>
Mayer, M., Haimberger, L., Pietschnig, M., and Storto, A.: Facets of Arctic
energy accumulation based on observations and reanalyses 2000–2015,
Geophys. Res. Lett., 43, 10420–10429, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib22"><label>22</label><mixed-citation>
Screen, J. A. and Simmonds, I.: The central role of diminishing sea ice in
recent Arctic temperature amplification, Nature, 464, 1334–1337, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib23"><label>23</label><mixed-citation>
Serreze, M. C., Holland, M. M., and Stroeve, J.: Perspectives on the Arctic's
shrinking sea ice cover, Science, 315, 1533–1536, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib24"><label>24</label><mixed-citation>
Smith, L. C. and Stephenson, S. R.: New Trans-Arctic shipping routes navigable
by midcentury, P. Natl. Acad. Sci., 110, E1191–E1195, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib25"><label>25</label><mixed-citation>
Uttal, T., Starkweather, S., Drummond, J. R., Vihma, T., Makshtas, A. P.,
Darby, L. S., Burkhart, J. F., Cox, C. J., Schmeisser, L. N., Haiden, T.,
Maturilli, M., Shupe, M. D., de Boer, G., Saha, A., Grachev, A. A., Crepinsek,
S. M., Bruhwiler, L., Goodison, B., McArthur, B., Walden, V. P., Dlugokencky,
E. J., Persson, P. O. G., Lesins, G., Laurila, T., Ogren, J. A., Stone, R.,
Long, C. N., Sharma, S., Massling, A., Turner, D. D., Stanitski, D. M., Asmi,
E., Aurela, M., Skov, H., Eleftheriadis, K., Virkkula, A., Platt, A.,
Førland, E. J., Iijima, Y., Nielsen, I. E., Bergin, M. H., Candlish, L.,
Zimov, N. S., Zimov, S. A., O'Neill, N. T., Fogal, P. F., Kivi, R.,
Konopleva-Akish, E. A., Verlinde, J., Kustov, V. Y., Vasel, B., Ivakhov, V. M.,
Viisanen, Y., and Intrieri, J. M.: International Arctic Systems for Observing
the Atmosphere: An International Polar Year Legacy Consortium, B. Am. Meteor. Soc., 97, 1033–1056, <a href="https://doi.org/10.1175/BAMS-D-14-00145.1" target="_blank">https://doi.org/10.1175/BAMS-D-14-00145.1</a>,
2016.
</mixed-citation></ref-html>--></article>
