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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:oasis="http://docs.oasis-open.org/ns/oasis-exchange/table" xml:lang="en" dtd-version="3.0"><?xmltex \makeatother\@nolinetrue\makeatletter?>
  <front>
    <journal-meta><journal-id journal-id-type="publisher">TC</journal-id><journal-title-group>
    <journal-title>The Cryosphere</journal-title>
    <abbrev-journal-title abbrev-type="publisher">TC</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">The Cryosphere</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1994-0424</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/tc-13-1959-2019</article-id><title-group><article-title>Past water flow beneath Pine Island and Thwaites glaciers,<?xmltex \hack{\break}?> West Antarctica</article-title><alt-title>Past water flow beneath Pine Island-Thwaites glaciers</alt-title>
      </title-group><?xmltex \runningtitle{Past water flow beneath Pine Island-Thwaites glaciers}?><?xmltex \runningauthor{J.~D.~Kirkham et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2">
          <name><surname>Kirkham</surname><given-names>James D.</given-names></name>
          <email>jk675@cam.ac.uk</email>
        <ext-link>https://orcid.org/0000-0002-0506-1625</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Hogan</surname><given-names>Kelly A.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-1256-8010</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Larter</surname><given-names>Robert D.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-8414-7389</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Arnold</surname><given-names>Neil S.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-7538-3999</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Nitsche</surname><given-names>Frank O.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-4137-547X</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Golledge</surname><given-names>Nicholas R.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-7676-8970</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Dowdeswell</surname><given-names>Julian A.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-1369-9482</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Scott Polar Research Institute, University of Cambridge, Lensfield Road, Cambridge, CB2 1ER, UK</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>British Antarctic Survey, High Cross, Madingley Road, Cambridge, CB3 0ET, UK</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Lamont-Doherty Earth Observatory of Columbia University, P.O. Box 1000, Palisades, NY 10964-8000, USA</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Antarctic Research Centre, Victoria University of Wellington, Wellington 6140, New Zealand</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">James D. Kirkham (jk675@cam.ac.uk)</corresp></author-notes><pub-date><day>17</day><month>July</month><year>2019</year></pub-date>
      
      <volume>13</volume>
      <issue>7</issue>
      <fpage>1959</fpage><lpage>1981</lpage>
      <history>
        <date date-type="received"><day>1</day><month>April</month><year>2019</year></date>
           <date date-type="rev-request"><day>16</day><month>April</month><year>2019</year></date>
           <date date-type="rev-recd"><day>25</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 </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://tc.copernicus.org/articles/.html">This article is available from https://tc.copernicus.org/articles/.html</self-uri><self-uri xlink:href="https://tc.copernicus.org/articles/.pdf">The full text article is available as a PDF file from https://tc.copernicus.org/articles/.pdf</self-uri>
      <abstract><title>Abstract</title>
    <p id="d1e157">Outburst floods from subglacial lakes beneath the Antarctic Ice Sheet
modulate ice-flow velocities over periods of months to years. Although
subglacial lake drainage events have been observed from
satellite-altimetric data, little is known about their role in the
long-term evolution of ice-sheet basal hydrology. Here, we
systematically map and model past water flow through an extensive area
containing over 1000 subglacial channels and 19 former lake basins exposed
on over 19 000 km<inline-formula><mml:math id="M1" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> of seafloor by the retreat of Pine Island and
Thwaites glaciers, West Antarctica. At 507 m wide and 43 m deep on average,
the channels offshore of present-day Pine Island and Thwaites glaciers
are approximately twice as deep, 3 times as wide, and cover an area over
400 times larger than the terrestrial meltwater channels comprising the
Labyrinth in the Antarctic Dry Valleys. The channels incised into bedrock
offshore of contemporary Pine Island and Thwaites glaciers would have been
capable of accommodating discharges of up to <inline-formula><mml:math id="M2" display="inline"><mml:mrow><mml:mn mathvariant="normal">8.8</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M3" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M4" 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>. We suggest that the channels were formed by episodic discharges
from subglacial lakes trapped during ice-sheet advance and retreat over
multiple glacial periods. Our results document the widespread influence of
episodic subglacial drainage events during past glacial periods, in
particular beneath large ice streams similar to those that continue to
dominate contemporary ice-sheet discharge.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

      <?xmltex \hack{\newpage}?>
<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e216">The widespread and accelerating retreat of Pine Island and Thwaites glaciers
constitutes a potential threat to the stability of the West Antarctic Ice
Sheet (WAIS) (Rignot et al., 2008, 2014; Joughin et al., 2014; Feldmann and Levermann,
2015; Shepherd et al., 2018; Yu et al., 2018). The routing, storage, and expulsion of
subglacial water from beneath the WAIS directly influences its mass-loss
rates and, accordingly, sea-level rise (Joughin et al., 2002; Alley et al., 2006;
Bell et al., 2007; Stearns et al., 2008). Variability in subglacial water supply can
lead to ice-sheet instability (Schoof, 2010). However, the effect of
subglacial water as a lubricant at the basal ice-sheet boundary is still
insufficiently understood to be accurately incorporated into the current
generation of ice-sheet models, and is thus presently absent from
assessments of future ice-sheet behaviour (Fricker and Scambos, 2009;
Flowers, 2015; Fricker et al., 2016).</p>
      <p id="d1e219">Over recent decades, ice-penetrating radio–echo sounding surveys and
satellite altimetry have revealed an intricate subglacial network of water
storage and transfer beneath the contemporary Antarctic Ice Sheet. Over 400
ponded water bodies, termed subglacial lakes, have been detected beneath the
ice (Fig. 1) (e.g. Robin et al., 1970; Oswald and Robin, 1973; Siegert et al., 1996,
2005, 2015), about a quarter of which have been observed to fill and drain
over sub-decadal timescales (Gray et al., 2005; Wingham et al., 2006; Fricker et al., 2007; B. E. Smith et al., 2009, 2017). The subglacial routing of the water released
from this special class of “active” subglacial lakes can be traced<?pagebreak page1960?> for
hundreds of kilometres, often triggering a cascade of further subglacial
lake drainage downstream (Wingham et al., 2006; Flament et al., 2014; Fricker et al., 2007,
2014). In some instances, active lake drainage has been associated with
temporary accelerations in ice velocity (Stearns et al., 2008; Siegfried et al., 2016). Active Antarctic subglacial lakes typically discharge relatively
small volumes of water over several months, with peak discharges of tens of
cubic metres per second. For example, lakes detected in the Adventure
subglacial trench, East Antarctica, discharged 1.8 km<inline-formula><mml:math id="M5" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> of water over
16 months with a peak discharge of <inline-formula><mml:math id="M6" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">50</mml:mn></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M7" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> 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>
(Wingham et al., 2006), whilst 3.7 km<inline-formula><mml:math id="M9" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> of water was released from a system
of subglacial lakes beneath Thwaites Glacier between June 2013 and January
2014 (Smith et al., 2017). To date, the largest contemporary subglacial lake
drainage event observed in Antarctica was the loss of <inline-formula><mml:math id="M10" display="inline"><mml:mrow><mml:mn mathvariant="normal">5.2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.5</mml:mn></mml:mrow></mml:math></inline-formula> km<inline-formula><mml:math id="M11" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> of water from Lake Cook, East Antarctica, over a 2-year
period (Flament et al., 2014).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1"><?xmltex \currentcnt{1}?><label>Figure 1</label><caption><p id="d1e295">Overview map displaying the location of features and regions
referred to in the text. The catchment drained by contemporary Pine Island
and Thwaites glaciers is highlighted in green. The black box shows the
portion of the Transantarctic Mountains (TAM) containing Wright Valley, the
Royal Society Range, the Convoy Range, and the Asgard Range, in which channel
features have been observed. The area shown in Fig. 3 is displayed as a red
box. The locations of subglacial lakes observed from radio–echo sounding
(grey triangles) and actively draining subglacial lakes observed from
satellite altimetry (<inline-formula><mml:math id="M12" display="inline"><mml:mo lspace="0mm">+</mml:mo></mml:math></inline-formula>) are shown from Wright and Siegert (2012) and Smith
et al. (2017). Regional bathymetry and ice surface elevation is from Bedmap2
(Fretwell et al., 2013).</p></caption>
        <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://tc.copernicus.org/articles/13/1959/2019/tc-13-1959-2019-f01.png"/>

      </fig>

      <p id="d1e312">Geomorphological evidence suggests that subglacial water movement,
substantially larger than that documented in the satellite era, has occurred
beneath the Antarctic Ice Sheet in the past. The mountains flanking the
Antarctic Dry Valleys in southern Victoria Land and the ice-free margin
of the East Antarctic Soya Coast contain abundant features formed by the
flow of subglacial meltwater (Denton et al., 1984; Sawagaki and Hirakawa, 1997).
Channel systems that are kilometres long and hundreds of metres wide are
present in the Asgard Range (Sugden et al., 1991), in the foothills of the Royal
Society Range (Sugden et al., 1999), and in the Convoy Range of the
Transantarctic Mountains (Denton and Sugden, 2005; Lewis et al., 2006) (Fig. 1).
One of the most spectacular relict Antarctic landscapes carved by subglacial
water is a 5 km long anastomosing system of terrestrial channels in
Wright Valley termed the Labyrinth (Selby and Wilson, 1971). The Labyrinth
channels exceed 500 m in width and are incised over 150 m into a 300 m thick
sill of Ferrar Dolerite (Lewis et al., 2006). Channel formation has been
attributed to repeated subglacial outburst floods, with estimated discharges
of up to 1.6–<inline-formula><mml:math id="M13" display="inline"><mml:mrow><mml:mn mathvariant="normal">2.2</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M14" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M15" 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>, sourced from one or
more subglacial lakes that became trapped as the Antarctic Ice Sheet
overrode the Transantarctic Mountains during the Miocene epoch (23–5.3 Ma)
(Marchant et al., 1993; Marchant and Denton, 1996; Denton and Sugden, 2005; Lewis et al., 2006). The
irregular reverse gradients, anastomosing structure, and the potholes and
plunge pools associated with the channel systems in southern Victoria Land
are consistent with formation by pressurized subglacial meltwater (Shreve,
1972; Denton and Sugden, 2005; Marchant et al., 2011) on a scale that is perhaps
unequalled outside the Channeled Scablands landscape of eastern Washington
state – produced by some of the largest subaerial floods on Earth from
Pleistocene proglacial Lake Missoula (Bretz, 1923, 1969).</p>
      <p id="d1e351">Channels with similar dimensions have been identified submerged offshore on
the largely bedrock-dominated inner continental shelves of the western
Antarctic Peninsula (e.g. Ó Cofaigh et al., 2002, 2005; Domack et al., 2006;
Anderson and Oakes-Fretwell, 2008), West Antarctica (e.g. Lowe and
Anderson, 2002, 2003; Larter et al., 2009; Nitsche et al., 2013), and eroded into soft
sediments in the inner Ross Sea (Simkins et al., 2017). The observed landforms
are typically hundreds of metres wide, tens of metres deep, and possess
undulating thalwegs that indicate incision by pressurized subglacial
meltwater (Lowe and Anderson, 2002). The size and widespread distribution of
the offshore channels implies that substantial quantities of subglacial
meltwater were required for their formation; this inference is fundamentally
inconsistent with the quantity of meltwater produced at the Antarctic
ice–bed interface currently (Nitsche et al., 2013; Rose et al., 2014) and the
discharges associated with active subglacial lake water transfer (Wingham
et al., 2006; Stearns et al., 2008). The physical process responsible for the
formation of the large channel systems on the Antarctic continental shelf
thus remains unresolved, limiting our understanding of ice-sheet
hydrology and future ice-sheet behaviour.</p>
      <?pagebreak page1961?><p id="d1e354">In this study, we examine the origin and formation of a huge system of
submarine channels, covering an area <inline-formula><mml:math id="M16" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">19</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mn mathvariant="normal">000</mml:mn></mml:mrow></mml:math></inline-formula> km<inline-formula><mml:math id="M17" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> (over
twice the size of Yellowstone National Park), located within 200 km of the
present-day margins of Pine Island and Thwaites glaciers. We map the
detailed channel network and conduct a quantitative morphometric comparison
between the channels in Pine Island Bay and the terrestrial channels
comprising the Labyrinth. We then use a numerical model to simulate the
subglacial hydrological conditions and water routing beneath Pine Island and
Thwaites glaciers during the Last Glacial Maximum (LGM), and provide
constraints on the possible mechanisms and timescales over which the
submarine channels formed.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Methods</title>
<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>Bathymetric and terrestrial data</title>
      <p id="d1e394">We used multibeam-bathymetric data, collected over 2 decades by
extensive shipborne surveys in Pine Island Bay, to produce a comprehensive
high-resolution digital elevation model (DEM) of the seafloor offshore of
modern Pine Island and Thwaites glaciers (Table 1). The
multibeam-bathymetric data were gridded at a 20 m resolution. A
conservative degree of interpolation, applied up to four cell widths away
from a data-filled cell, was used to fill small missing gaps in the grids
when proximal to existing bathymetry data. This was the highest resolution
that could be achieved without requiring interpolation to fill more than 10 % of the study area's grid cells. In addition to the bathymetric data, a 2 m horizontal resolution DEM of Wright Valley, in the McMurdo Dry
Valleys of Antarctica, was obtained from the National Aeronautics and Space
Administration's 2001 Airborne Topographic Mapper laser altimetry survey to
examine the morphology of the Labyrinth (Schenk et al., 2004).</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e400">Details of the geophysical cruise data used in this investigation.</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="center"/>
     <oasis:colspec colnum="4" colname="col4" align="left"/>
     <oasis:colspec colnum="5" colname="col5" align="left"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Cruise/ID</oasis:entry>
         <oasis:entry colname="col2">Ship</oasis:entry>
         <oasis:entry colname="col3">Year</oasis:entry>
         <oasis:entry colname="col4">Multibeam system</oasis:entry>
         <oasis:entry colname="col5">Principal investigator</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">ANT-XXIII/4</oasis:entry>
         <oasis:entry colname="col2"><italic>Polarstern</italic></oasis:entry>
         <oasis:entry colname="col3">2006</oasis:entry>
         <oasis:entry colname="col4">Hydrosweep DS2</oasis:entry>
         <oasis:entry colname="col5">Karsten Gohl</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">JR179</oasis:entry>
         <oasis:entry colname="col2"><italic>James Clark Ross</italic></oasis:entry>
         <oasis:entry colname="col3">2008</oasis:entry>
         <oasis:entry colname="col4">EM120</oasis:entry>
         <oasis:entry colname="col5">Robert Larter</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">JR294</oasis:entry>
         <oasis:entry colname="col2"><italic>James Clark Ross</italic></oasis:entry>
         <oasis:entry colname="col3">2014</oasis:entry>
         <oasis:entry colname="col4">EM122</oasis:entry>
         <oasis:entry colname="col5">Karen Heywood</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">NBP0001</oasis:entry>
         <oasis:entry colname="col2"><italic>N.B. Palmer</italic></oasis:entry>
         <oasis:entry colname="col3">2000</oasis:entry>
         <oasis:entry colname="col4">SeaBeam 2112</oasis:entry>
         <oasis:entry colname="col5">Stan Jacobs</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">NBP0702</oasis:entry>
         <oasis:entry colname="col2"><italic>N.B. Palmer</italic></oasis:entry>
         <oasis:entry colname="col3">2007</oasis:entry>
         <oasis:entry colname="col4">EM120</oasis:entry>
         <oasis:entry colname="col5">Stan Jacobs</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">NBP0901</oasis:entry>
         <oasis:entry colname="col2"><italic>N.B. Palmer</italic></oasis:entry>
         <oasis:entry colname="col3">2009</oasis:entry>
         <oasis:entry colname="col4">EM120</oasis:entry>
         <oasis:entry colname="col5">Stan Jacobs</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">NBP1210</oasis:entry>
         <oasis:entry colname="col2"><italic>N.B. Palmer</italic></oasis:entry>
         <oasis:entry colname="col3">2013</oasis:entry>
         <oasis:entry colname="col4">EM120</oasis:entry>
         <oasis:entry colname="col5">Kenneth Halanych</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">NBP9902</oasis:entry>
         <oasis:entry colname="col2"><italic>N.B. Palmer</italic></oasis:entry>
         <oasis:entry colname="col3">1999</oasis:entry>
         <oasis:entry colname="col4">SeaBeam 2112</oasis:entry>
         <oasis:entry colname="col5">John Anderson</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

</sec>
<sec id="Ch1.S2.SS2">
  <label>2.2</label><title>Derivation of channel metrics</title>
      <p id="d1e604">Channels were digitized manually using hill-shaded DEMs in ArcGIS 10.4.
Comparison with a three-dimensional representation of the study area, in
which the digitized channel outlines were draped over the projected DEM,
ensured that the boundaries of the channels were demarcated accurately
(Mayer et al., 2000). This technique permitted the routing pathway of each
individual channel to be established. Channels were defined to terminate
when they were intersected by a larger, deeper routing pathway. We repeated
this analysis for the Labyrinth channels, which, because of their size and
anastomosing structure, are arguably the closest analogue for the channels
submerged offshore of Pine Island and Thwaites glaciers.</p>
      <p id="d1e607">More than 4200 cross sections were analysed to determine the morphological
characteristics of the now-submarine Pine Island and Thwaites glacier
channels, whilst more than 1600 were used to analyse the subaerially exposed
Labyrinth channels. Based on Noormets et al. (2009), we developed a
semiautomated algorithm to quantify the width, depth, cross-sectional area,
and symmetry of each channel cross section (Fig. 2). Channel width is
defined as the distance between the highest point of each of the channel
sides. The greatest vertical distance between the base of the channel and a
line intersecting the two channel edges defines the channel depth, <inline-formula><mml:math id="M18" display="inline"><mml:mi>D</mml:mi></mml:math></inline-formula>. The
horizontal distances from the deepest point of the channel to each of the
channel sides, <italic>W1</italic> and <italic>W2</italic>, are calculated using an idealized triangular
representation of the channel. The normalized ratio of <italic>W1</italic> to <italic>W2</italic> is used to
assess the symmetry of the channel, which can range between 0 and 2.
Symmetry values of 1 indicate a symmetrical cross section, whilst values
greater than 1 signify a left-skewed channel and values less than 1
indicate a right-skewed channel cross section. Trapezoidal numerical
integration was used to approximate the internal area of the channel,
bounded by the line intersecting the channel edges. The ratio of channel
depth to channel width was used to enable comparison between the vertical
and horizontal proportions of each cross section.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><?xmltex \currentcnt{2}?><label>Figure 2</label><caption><p id="d1e631">Methods of quantifying channel morphometry. <bold>(a)</bold> Output of the
semiautomated algorithm used to derive channel cross-sectional metrics, after
Noormets et al. (2009). Panels <bold>(b, c)</bold> illustrate the concept of channel
form ratio: the ratio of channel depth to channel width. Wider, shallower
channels will be characterized by lower form ratios. Panels <bold>(d, e)</bold> show
the variation in channel <inline-formula><mml:math id="M19" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> value according to channel shape. V-shaped
channels will exhibit a <inline-formula><mml:math id="M20" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> value of <inline-formula><mml:math id="M21" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula>, whilst U-shaped
channels will be characterized by <inline-formula><mml:math id="M22" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> values of <inline-formula><mml:math id="M23" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula>. Vertical
exaggeration in <bold>(a)</bold> is <inline-formula><mml:math id="M24" display="inline"><mml:mrow><mml:mn mathvariant="normal">20</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math></inline-formula>.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://tc.copernicus.org/articles/13/1959/2019/tc-13-1959-2019-f02.png"/>

        </fig>

      <p id="d1e705">In addition to the channel depth–width ratio, the cross-sectional shape
of each sample was assessed using the General Power Law (GPL) program
(Pattyn and Van Huele, 1998). The GPL program applies a general form of the
power-law equation to derive a best-fit approximation of a shape parameter,
<inline-formula><mml:math id="M25" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula>, which summarizes the geometric shape of the channel:
            <disp-formula id="Ch1.E1" content-type="numbered"><label>1</label><mml:math id="M26" display="block"><mml:mrow><mml:mi>y</mml:mi><mml:mo>-</mml:mo><mml:msub><mml:mi>y</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>=</mml:mo><mml:mi>a</mml:mi><mml:mi mathvariant="normal">|</mml:mi><mml:mi>x</mml:mi><mml:mo>-</mml:mo><mml:msub><mml:mi>x</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:msup><mml:mi mathvariant="normal">|</mml:mi><mml:mi>b</mml:mi></mml:msup><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          where <inline-formula><mml:math id="M27" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M28" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> are constants, <inline-formula><mml:math id="M29" display="inline"><mml:mrow><mml:msub><mml:mi>x</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M30" display="inline"><mml:mrow><mml:msub><mml:mi>y</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> are the coordinates of the
origin of the cross section, and <inline-formula><mml:math id="M31" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M32" display="inline"><mml:mi>y</mml:mi></mml:math></inline-formula> are the horizontal and vertical
components of the channel cross section, respectively. A general
least-squares method is used to derive the best-fit values of <inline-formula><mml:math id="M33" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M34" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula>. The value of the shape parameter, <inline-formula><mml:math id="M35" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula>, generally varies from 1 to 2 according to cross-sectional shape, with <inline-formula><mml:math id="M36" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> values of 1 indicating a “V-shaped” cross
section and values of 2 denoting a perfectly “U-shaped” channel geometry
(Pattyn and Van Huele, 1998). Composite channel forms are typically
associated with <inline-formula><mml:math id="M37" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> values between these two values. Shape-parameter values
exceeding 2 are associated with more box-shaped channel cross-sectional
profiles, whereas geometries characterized by <inline-formula><mml:math id="M38" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> values less than 1 indicate
channel flanks with a convex-upward form (Gales et al., 2013).</p>
</sec>
<sec id="Ch1.S2.SS3">
  <label>2.3</label><title>Modelling past subglacial water flow</title>
      <p id="d1e854">To assess the rates at which subglacial water could be produced, stored, and
routed beneath the former Pine Island and Thwaites glaciers, we performed
hydrological modelling simulations for the full-glacial configuration of
the Pine Island–Thwaites catchment, accounting for isostatic loading under
the expanded WAIS, at 20 ka.</p>
<sec id="Ch1.S2.SS3.SSS1">
  <label>2.3.1</label><title>Palaeo ice-sheet reconstruction and data</title>
      <p id="d1e864">The thickness and surface slope of the LGM configuration of the WAIS was
derived from a series of palaeo ice-sheet<?pagebreak page1962?> reconstructions produced using
the Parallel Ice Sheet Model (PISM) (Golledge et al., 2012). PISM is a
three-dimensional, thermomechanical ice-sheet model constrained by
geological observations that has been widely used to simulate the dynamics
of the Antarctic ice sheets (e.g. Golledge et al., 2012, 2013, 2014; Fogwill et al., 2014). PISM combines shallow-ice and shallow-shelf approximations for
grounded ice to capture the dynamic behaviour of grounded ice and is able to
simulate ice-stream flow and ice drawdown at a relatively high 5 km
resolution (Golledge et al., 2012; Fogwill et al., 2014).</p>
      <p id="d1e867">Simulation results from Golledge et al. (2012) provided the data required to
calculate the routing and flux of subglacial water flowing under hydrostatic
pressure beneath Pine Island and Thwaites glaciers at the LGM. A nested
modelling approach was adopted in which catchment-wide water fluxes were
first calculated at a 500 m resolution. These model results were then
input at the edges of the higher-resolution bathymetric DEM covering the
offshore channels. The bathymetric DEM was resampled to 90 m for the sake of
computational efficiency. Ice-surface topography at the LGM was
interpolated from the Golledge et al. (2012) reconstructions to the appropriate
resolution (500 or 90 m). Bed topography for the majority of the catchment
was derived from the 500 m resolution BedMachine Antarctica dataset of
the contemporary Antarctic Ice Sheet's bed (Millan et al., 2017; Morlighem et al., 2018). These data were corrected for isostasy by calculating the isostatic
deflection at the LGM from the Golledge et al. (2012) results, and then adding
the interpolated deflection values to the bed-topography data to produce
a 500 m resolution, isostatically corrected DEM. Ice thickness was
calculated by subtracting the interpolated ice-sheet surface from the
isostatically corrected bed topography. Subglacial topography and ice
thickness were then used to<?pagebreak page1963?> calculate the subglacial hydraulic potential
within the study region.</p>
      <p id="d1e870">Basal meltwater production was calculated using the modelled basal
frictional heating from the Golledge et al. (2012) reconstruction, added to the
geothermal heat flux of the LGM Pine Island and Thwaites glaciers catchment.
Geothermal heat flux values were derived from Martos et al. (2017) for the
portion covered by the contemporary ice sheet and from Davies (2013) for the
offshore portion of formerly ice-covered land. The geothermal heat flux
of the catchment ranges between <inline-formula><mml:math id="M39" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">70</mml:mn></mml:mrow></mml:math></inline-formula>  and
<inline-formula><mml:math id="M40" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">130</mml:mn></mml:mrow></mml:math></inline-formula> mW m<inline-formula><mml:math id="M41" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, whilst frictional heating values range
from <inline-formula><mml:math id="M42" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">0</mml:mn></mml:mrow></mml:math></inline-formula> to <inline-formula><mml:math id="M43" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">500</mml:mn></mml:mrow></mml:math></inline-formula> mW m<inline-formula><mml:math id="M44" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. For
areas of the bed calculated to be at the pressure melting point in the
Golledge et al. (2012) results, the sum of these heat sources was used to
calculate the basal melt rate in each DEM cell, which can then be multiplied
by the cell area to give a water volume per unit time. For cold-based ice
where basal meltwater is absent, the production of basal meltwater was set
to zero.</p>
</sec>
<sec id="Ch1.S2.SS3.SSS2">
  <label>2.3.2</label><title>Flow routing</title>
      <p id="d1e946">Meltwater routing beneath the <inline-formula><mml:math id="M45" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">600</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mn mathvariant="normal">000</mml:mn></mml:mrow></mml:math></inline-formula> km<inline-formula><mml:math id="M46" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> area drained
by the LGM Pine Island and Thwaites glaciers catchment was modelled using a
weighted upstream catchment area algorithm (Arnold, 2010; Willis et al., 2016).
Subglacial hydraulic potential, <inline-formula><mml:math id="M47" display="inline"><mml:mi mathvariant="normal">Φ</mml:mi></mml:math></inline-formula>, dictates the flow and routing of
water beneath ice masses (Shreve, 1972). The subglacial hydraulic potential
of water flowing beneath an ice sheet is a function of bed topography and
ice thickness:
              <disp-formula id="Ch1.E2" content-type="numbered"><label>2</label><mml:math id="M48" display="block"><mml:mrow><mml:mi mathvariant="normal">Φ</mml:mi><mml:mo>=</mml:mo><mml:msub><mml:mi mathvariant="italic">ρ</mml:mi><mml:mi mathvariant="normal">w</mml:mi></mml:msub><mml:mi>g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi>h</mml:mi><mml:mo>+</mml:mo><mml:mi>k</mml:mi><mml:msub><mml:mi mathvariant="italic">ρ</mml:mi><mml:mi mathvariant="normal">i</mml:mi></mml:msub><mml:mi>g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi>Z</mml:mi><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
            where <inline-formula><mml:math id="M49" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">ρ</mml:mi><mml:mi mathvariant="normal">w</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M50" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">ρ</mml:mi><mml:mi mathvariant="normal">i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> are the densities of water and ice (kg m<inline-formula><mml:math id="M51" 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>) respectively, <inline-formula><mml:math id="M52" display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula> is the acceleration due to gravity (m s<inline-formula><mml:math id="M53" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>), <inline-formula><mml:math id="M54" display="inline"><mml:mi>h</mml:mi></mml:math></inline-formula> is bed elevation (m), <inline-formula><mml:math id="M55" display="inline"><mml:mi>Z</mml:mi></mml:math></inline-formula> is ice thickness (m), and <inline-formula><mml:math id="M56" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> is a
dimensionless parameter (referred to as the uniform floatation factor) that
can be varied from 0 to 1 to simulate variations in subglacial water
pressure. Higher <inline-formula><mml:math id="M57" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> values represent greater subglacial water pressure, with
<inline-formula><mml:math id="M58" display="inline"><mml:mrow><mml:mi>k</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> denoting that water pressure is equal to the overburden pressure
exerted by the overlying ice, and <inline-formula><mml:math id="M59" display="inline"><mml:mrow><mml:mi>k</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0</mml:mn></mml:mrow></mml:math></inline-formula> representing water flowing at
atmospheric pressure. Seismic (Blankenship et al., 1986; Alley et al., 1986) and
borehole (Engelhardt et al., 1990; Kamb, 2001; Tulaczyk et al., 2001) investigations
of the basal properties of Antarctic ice streams demonstrate that, where
present, the pressure of subglacial meltwater is typically close to the
ice-overburden pressure. Multibeam swath bathymetry, sub-bottom
profiler, and coring studies have previously established that the
now-submarine study area in Pine Island Bay was occupied by a major ice
stream during the LGM (e.g. Graham et al., 2010). A <inline-formula><mml:math id="M60" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> value of
0.995 was therefore chosen to parameterize subglacial water pressures within
the numerical model simulations to approximate the subglacial water
pressures observed under contemporary Antarctic ice streams.</p>
      <p id="d1e1129">The upstream area model is described fully in Arnold (2010), and its
adaptation for calculating the volume, throughput water discharge, and
possible residence time of subglacial lakes is described in Willis et al. (2016).
Briefly, the algorithm first identifies all cells in a hydraulic potential
surface that have a lower potential than their neighbours. Such “sink” cells
allow local subglacial catchments (a group of contiguous cells which all
drain toward the sink) to be determined, and also form the nucleus for
potential subglacial lakes. The algorithm “floods” each sink cell to find
the elevation of the lowest cell in the catchment surrounding the sink over
which water would spill into a lower potential downstream cell (and hence
into an adjacent catchment). This spill point cell defines the maximum depth
(relative to the sink), area, and volume of each potential lake, and also
allows the routing algorithm to pass the total catchment area (or cumulative
subglacial melt) from catchment to catchment downstream until the model
reaches the edge of the DEM. In this way, the algorithm builds up the
topology of subglacial water flow, linking the individual catchments
together into arborescent structures. The algorithm thus calculates the
volume and direction of subglacial water flow; however, it is not capable of
predicting physical flow conditions within individual channels.</p>
      <p id="d1e1132">Rather than simply accumulating the DEM cell areas, the algorithm is
weighted such that each cell contributes its modelled basal melt flux (see
Sect. 2.3.1). This enables the steady-state subglacial water flux in each
cell within the DEM, and the total discharge flowing into each potential
subglacial lake, to be calculated. For each lake, the outflow discharge into
the adjacent downstream catchment is set to be equal to the inflow
discharge, as the algorithm assumes steady-state flow through each lake
(which is assumed to be at maximum volume) in order to maintain topological
continuity. By dividing the volume of each lake by the input water flux, the
total time to refill the lake (again assuming steady flow) can be
calculated. This effectively gives the minimum duration of any possible
fill–drain cycle for each lake.</p>
      <p id="d1e1135">We compare our modelled continuous subglacial water fluxes to the
theoretical discharge that could be accommodated by the channels if
sufficient water were available based on channel cross-sectional area
(Walder, 1986; Wingham et al., 2006; Jordan et al., 2010). The discharge, <inline-formula><mml:math id="M61" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula>, of a
semicircular cross section, <inline-formula><mml:math id="M62" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula>, is equal to
              <disp-formula id="Ch1.E3" content-type="numbered"><label>3</label><mml:math id="M63" display="block"><mml:mrow><mml:mi>Q</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:msup><mml:mfenced close=")" open="("><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mi mathvariant="italic">π</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:mfrac></mml:mstyle></mml:mfenced><mml:mstyle scriptlevel="+1"><mml:mfrac><mml:mn mathvariant="normal">1</mml:mn><mml:mn mathvariant="normal">3</mml:mn></mml:mfrac></mml:mstyle></mml:msup><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi>S</mml:mi><mml:mstyle scriptlevel="+1"><mml:mfrac><mml:mn mathvariant="normal">4</mml:mn><mml:mn mathvariant="normal">3</mml:mn></mml:mfrac></mml:mstyle></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi>m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:msup><mml:mfenced close=")" open="("><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mi mathvariant="normal">∅</mml:mi><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:mrow><mml:mrow><mml:msub><mml:mi>p</mml:mi><mml:mi mathvariant="normal">w</mml:mi></mml:msub><mml:mi>g</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mfenced><mml:mstyle scriptlevel="+1"><mml:mfrac><mml:mn mathvariant="normal">1</mml:mn><mml:mn mathvariant="normal">2</mml:mn></mml:mfrac></mml:mstyle></mml:msup><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
            where <inline-formula><mml:math id="M64" display="inline"><mml:mrow><mml:mi mathvariant="normal">∅</mml:mi><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> is the hydraulic potential gradient, <inline-formula><mml:math id="M65" display="inline"><mml:mrow><mml:msub><mml:mi>p</mml:mi><mml:mi mathvariant="normal">w</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is the density of water (kg m<inline-formula><mml:math id="M66" 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>), <inline-formula><mml:math id="M67" display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula> is acceleration due to gravity
(m s<inline-formula><mml:math id="M68" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>), and <inline-formula><mml:math id="M69" display="inline"><mml:mi>m</mml:mi></mml:math></inline-formula> is the Manning coefficient
(m<inline-formula><mml:math id="M70" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> s). We derive <inline-formula><mml:math id="M71" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula> from the measured cross-sectional
area of the channels in the multibeam bathymetry data and estimate
along-channel estimates of <inline-formula><mml:math id="M72" display="inline"><mml:mrow><mml:mi mathvariant="normal">∅</mml:mi><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> using Eq. (2). As the
channels were unlikely to have been completely ice-free during periods of
occupation<?pagebreak page1964?> by subglacial water, we calculate the hypothetical discharge
under three scenarios in which the channel cross sections are (1) ice-free, (2) 50 % occupied by ice, and (3) 90 % occupied by ice.</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Results</title>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>Morphology of channels in Pine Island Bay</title>
      <p id="d1e1339">Over 1000 channels were mapped within Pine Island Bay, covering an area of
<inline-formula><mml:math id="M73" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">19</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mn mathvariant="normal">000</mml:mn></mml:mrow></mml:math></inline-formula> km<inline-formula><mml:math id="M74" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> (Fig. 3). The channels are arranged in a
complex, anastomosing pattern that often appears to follow lines of
geological weakness in the inner-shelf bedrock. No channels are visible
beyond the transition from the inner-shelf bedrock to the sedimentary
strata on the outer continental shelf (e.g. Lowe and Anderson, 2003; Graham
et al., 2010; Gohl et al., 2013; Nitsche et al., 2013), <inline-formula><mml:math id="M75" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">200</mml:mn></mml:mrow></mml:math></inline-formula> km from the
present ice margin. The channels are characterized by undulating
long-axis profiles (thalwegs) containing multiple reverse gradients along
their lengths. The majority of channels are less than 5000 m long, range in
width from 80 to 3600 m, and are incised into bedrock by between 3 and
330 m. The channels are 507 m wide and 43 m deep on average, with a typical cross-sectional area of 17 000 m<inline-formula><mml:math id="M76" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> (Fig. 4).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><?xmltex \currentcnt{3}?><label>Figure 3</label><caption><p id="d1e1385">Channelized bathymetry of the region offshore of Pine Island and
Thwaites glaciers. <bold>(a)</bold> Inner-continental-shelf bathymetry within Pine Island
Bay, gridded at a 20 m cell size with sun illumination from the northeast.
Mapped channels are displayed as black lines, and mapped relict subglacial
basins are displayed as blue polygons. Onshore topography is displayed as a
shaded Landsat Image Mosaic of Antarctica (LIMA) (U.S. Geological Survey,
2007). The white square in <bold>(a)</bold> is scaled to the same dimensions as the
Labyrinth, displayed in <bold>(b, c)</bold>. <bold>(b)</bold> Oblique aerial photograph of the
channel system comprising the Labyrinth (Lewis et al., 2006). Channels in the
foreground are <inline-formula><mml:math id="M77" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">100</mml:mn></mml:mrow></mml:math></inline-formula> m wide. <bold>(c)</bold> Digital elevation model of
the Labyrinth with channels displayed as black lines. <bold>(d)</bold> Subset of the Pine
Island Bay bathymetry, scaled to the same dimensions as the Labyrinth,
exhibiting a series of channels. Black arrows denote the inferred direction
of palaeo ice flow. Selected long profiles of the channels comprising
the Labyrinth <bold>(e)</bold> and in Pine Island Bay <bold>(f)</bold> with numbers denoting their
locations in <bold>(c, d)</bold>. Vertical exaggeration in <bold>(e, f)</bold> is <inline-formula><mml:math id="M78" display="inline"><mml:mrow><mml:mn mathvariant="normal">50</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math></inline-formula>.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://tc.copernicus.org/articles/13/1959/2019/tc-13-1959-2019-f03.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><?xmltex \currentcnt{4}?><label>Figure 4</label><caption><p id="d1e1448">Size–frequency distributions of the morphometric characteristics
of the channels comprising the Labyrinth and those present offshore of Pine
Island and Thwaites glaciers. The channels offshore of Pine Island and
Thwaites glaciers from which the distributions in the lower panel are derived are displayed in Fig. 3. The dotted lines in the <inline-formula><mml:math id="M79" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula>-value plots
correspond to where idealized V-shaped (<inline-formula><mml:math id="M80" display="inline"><mml:mrow><mml:mi>b</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula>) and U-shaped (<inline-formula><mml:math id="M81" display="inline"><mml:mrow><mml:mi>b</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula>)
cross sections would fall on the histogram.</p></caption>
          <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://tc.copernicus.org/articles/13/1959/2019/tc-13-1959-2019-f04.png"/>

        </fig>

      <p id="d1e1489">The bedrock channel system in Pine Island Bay is interspersed with a series
of 19 flat-bottomed depressions with steep sides relative to the gradient of
their central floor. The depressions resemble a series of basins connected,
and sometimes cross-cut, by the channels. The basins range in planimetric
area between 5 and 159 km<inline-formula><mml:math id="M82" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> and descend several
hundred metres beneath the average depth of the surrounding topography. The
basin floors contain subdued glacial landforms (Nitsche et al., 2013) that appear to be partially buried by sedimentary infill.</p>
</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Comparison with the Labyrinth</title>
      <p id="d1e1509">The channels offshore of present Pine Island and Thwaites glaciers are
substantially larger than those comprising the Labyrinth, which consists of
a series of 80 channels that are generally less than 1000 m in length,
20 to 600 m wide, and 2 to 150 m deep (Fig. 4). The mean
cross-sectional area of the Labyrinth channels is 3000 m<inline-formula><mml:math id="M83" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>. On
average, the Labyrinth channels are about half as deep and a third as wide
as the Pine Island Bay channels at 23 and 160 m, respectively. The two
channel inventories are comparable in terms of their channel density,
sinuosity, and characteristic undulating longitudinal channel profiles;
however, the channelized region of Pine Island Bay covers an area more than
400 times larger than the size of the Labyrinth (Fig. 3a–d).</p>
      <p id="d1e1521">Both the Labyrinth and the Pine Island Bay channels tend to have asymmetric
V-shaped (<inline-formula><mml:math id="M84" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> value <inline-formula><mml:math id="M85" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula>), rather than U-shaped (<inline-formula><mml:math id="M86" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> value <inline-formula><mml:math id="M87" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula>),
cross sections. The base of the cross sections are commonly more
V-shaped than the upper sections of the channels. Channel
cross section depth-to-width ratios are also comparable in both
regions, with the Labyrinth channels typically 5–12 times as wide as they
are deep, whilst the channels in Pine Island Bay are slightly wider in
relation to their depth, at 7–25 times as wide as they are deep (Fig. 4).
For the Labyrinth channels, increasing cross-sectional area is more
strongly correlated with channel depth than channel width, suggesting that
channel enlargement predominantly results from disproportionate
overdeepening of the larger channels with respect to their width. In
contrast, increases in the Pine Island Bay channel area are due to both widening
and deepening of channel cross sections.</p>
</sec>
<sec id="Ch1.S3.SS3">
  <label>3.3</label><title>Modelled subglacial hydrology</title>
      <p id="d1e1566">The numerical model results reveal an intricate system of water transfer and
storage beneath the LGM configuration of Pine Island and Thwaites glaciers
(Fig. 5). The majority of the LGM catchment is estimated to be at the
pressure melting point. Predicted basal melt rates, which are dependent on
ice-sheet thickness as well as geothermal and strain heating, are
greatest along the thick central and tributary trunks of the expanded Pine
Island–Thwaites glaciers, reaching values <inline-formula><mml:math id="M88" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">50</mml:mn></mml:mrow></mml:math></inline-formula> mm yr<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>.
The basin-wide average melt rate for the LGM catchment is <inline-formula><mml:math id="M90" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula> mm yr<inline-formula><mml:math id="M91" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, producing a total meltwater volume of 12.2 km<inline-formula><mml:math id="M92" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> yr<inline-formula><mml:math id="M93" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>.
The hydraulic potential gradient of the LGM WAIS forces water northwards,
forming an arborescent drainage structure that converges into the main trunk
of the formerly expanded Pine Island and Thwaites glaciers. Numerous ponded
water bodies are predicted to occur within the LGM catchment, several of
which fall within areas where subglacial water has been observed to transfer
between subglacial lakes beneath the contemporary WAIS (Smith et al., 2017)
(Fig. 5b).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><?xmltex \currentcnt{5}?><label>Figure 5</label><caption><p id="d1e1637">Modelled water flow beneath Pine Island and Thwaites glaciers at
the LGM. <bold>(a)</bold> Modelled ice-sheet surface at 20 ka (Golledge et al., 2012), showing
the calculated drainage catchment of Pine Island and Thwaites glaciers in
red. <bold>(b)</bold> Water discharge and flow routing paths for the entire Pine
Island–Thwaites catchment at the LGM, calculated at a 500 m grid resolution.
The location of actively filling and draining subglacial lakes beneath the
contemporary WAIS (Smith et al., 2017) is outlined in yellow. Areas of
cold-based ice are displayed in white. <bold>(c)</bold> Modelled subglacial water
discharges within the channelized inner-shelf region covered by
high-resolution (90 m) swath bathymetric data. The locations of four
predicted lakes, referred to as examples in the text, are shown. The
present-day ice margin from LIMA (U.S. Geological Survey, 2007) is
displayed in <bold>(b, c, d)</bold> as a solid black line. <bold>(d)</bold> Geomorphologically
mapped channel network within the high-resolution swath bathymetric data
and modelled subglacial drainage network. The major flow routing pathways
and subglacial lake locations calculated in <bold>(c)</bold> are displayed as red arrows
and blue polygons in <bold>(d)</bold>, respectively. Only subglacial lakes with a
steady-state discharge <inline-formula><mml:math id="M94" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M95" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M96" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> are displayed for
visual simplicity. The labels “PIG” and “TG” mark the contemporary margins
of Pine Island Glacier and Thwaites Glacier, respectively.</p></caption>
          <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://tc.copernicus.org/articles/13/1959/2019/tc-13-1959-2019-f05.jpg"/>

        </fig>

      <p id="d1e1699">The predicted subglacial water routing converges from across the catchment
into the channelized region of Pine Island Bay covered by high-resolution
multibeam bathymetry (Fig. 5c). The majority of this water flow is routed
preferentially from beneath the present-day glacier margins and into the
inner-shelf trough through the bedrock channels (Fig. 5d). Most channels have a modelled steady-state water discharge of less than 20 m<inline-formula><mml:math id="M97" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M98" 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 highest calculated continuous meltwater flux occurs
in a channel situated in the centre of the trough with a discharge of
139 m<inline-formula><mml:math id="M99" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> 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> (Fig. 5c, location i). Channels that are wide and
deep and have a large cross-sectional area are generally associated with
higher steady-state discharges; these tend to occur in the centre of the
trough occupied by the former Pine Island–Thwaites Ice Stream during the
LGM (Fig. 6a). Similarly, smaller channels located perpendicular to the
former ice stream margins are associated with lower steady-state
discharges. No relationship is present between channel symmetry or <inline-formula><mml:math id="M101" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> value and
modelled steady-state water discharge. The largest channels occur in
close proximity to the basins in which water is predicted to pond (Fig. 6b).
However, although larger<?pagebreak page1965?> channels are associated with higher discharges,
this does not hold true in all cases as some of the smallest channels
(cross-sectional area <inline-formula><mml:math id="M102" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">5000</mml:mn></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M103" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>) are calculated to carry
some of the highest discharges (<inline-formula><mml:math id="M104" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">130</mml:mn></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M105" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> 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>),
whilst many of the largest channels contain discharges <inline-formula><mml:math id="M107" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M108" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M109" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (Fig. 6c). This discrepancy is emphasized at
location (i). Here, four tributary channels flow into a basin which then
outflows into one large channel that has the highest calculated water flux
in the catchment (Fig. 7a). The four tributary channels have approximately
the same cross-sectional area as the main outflow channel but have
steady-state discharges over 3 orders of magnitude less than those of
the main channel, demonstrating that not all large channels are associated
with high steady-state discharges.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><?xmltex \currentcnt{6}?><label>Figure 6</label><caption><p id="d1e1837">Spatial variation in channel size within Pine Island Bay. <bold>(a)</bold> Spatial variation in channel cross-sectional area in relation to the location of modelled subglacial lakes. Channel cross sections used to
analyse channel geometry are displayed as dots coloured by channel
cross-sectional area. The margins of the former Pine Island–Thwaites
Ice Stream (Graham et al., 2010) and the location of Fig. 7 are shown. The
present-day ice margin from LIMA (U.S. Geological Survey, 2007) is
displayed as a solid black line. <bold>(b)</bold> Variation in channel cross-sectional
area with distance to the nearest mapped and modelled subglacial lake basin.
<bold>(c)</bold> Rain cloud plot showing the data and distributional shape of modelled
steady-state discharges through channels of different cross-sectional
areas. Rain clouds were produced using code from Allen et al. (2019).</p></caption>
          <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://tc.copernicus.org/articles/13/1959/2019/tc-13-1959-2019-f06.jpg"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><?xmltex \currentcnt{7}?><label>Figure 7</label><caption><p id="d1e1857">Relationship between modelled water flux and channel size through
a channel–basin system.
<bold>(a)</bold> Example channel–basin system in Pine Island Bay. Mapped channels are
displayed as black lines. Cross sections used to calculate channel
geometries are displayed as dots coloured by channel cross-sectional
area. The size of the circle surrounding the dots represents the calculated
steady-state water flux through the channels. The locations of the cross
profiles displayed in <bold>(b–e)</bold> are shown. Note the contrast between the large,
high-discharge channel to the northwest of the basin and the equally large,
but low-discharge, channels flowing into the basin from the southeast. <bold>(b, c)</bold> Cross-sectional profiles of a large channel in Pine Island Bay compared
to some of the largest channels in the Labyrinth. <bold>(d)</bold> Cross section of a
basin in Pine Island Bay. <bold>(e)</bold> Cross section of a series of channels feeding the basin from the southeast. Vertical exaggeration (VE) is <inline-formula><mml:math id="M110" display="inline"><mml:mrow><mml:mn mathvariant="normal">10</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math></inline-formula> in <bold>(b, c)</bold> and <inline-formula><mml:math id="M111" display="inline"><mml:mrow><mml:mn mathvariant="normal">5</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math></inline-formula> in <bold>(d, e)</bold>.</p></caption>
          <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://tc.copernicus.org/articles/13/1959/2019/tc-13-1959-2019-f07.jpg"/>

        </fig>

      <p id="d1e1908">Multiple lakes are predicted to occur in the bedrock depressions in Pine
Island Bay under LGM conditions. Once the lakes are filled to their spill
point, water is transferred through the bedrock channels into further lakes
downstream. We examine the modelled fluxes, volumes, and recharge rates of
the lakes using four examples displayed in Fig. 5c. Lake (i) occurs at the
confluence of the main streams that drain the Pine Island and Thwaites
glacier catchments; lake (ii) is the furthest downstream lake in the
Thwaites catchment, and lake (iii) is the furthest downstream lake in the
Pine Island<?pagebreak page1966?> catchment. The fourth example lake occurs within the relict
subglacial lake basin described by Kuhn et al. (2017). The four example lakes
have volumes between 0.33 and 19.9 km<inline-formula><mml:math id="M112" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> when filled to their
spill points. The majority of the water routed into Pine Island Bay is
directed from beneath Thwaites Glacier, flowing into lake (ii) at a
steady-state rate of 101 m<inline-formula><mml:math id="M113" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M114" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. When combined with the
steady-state flux of water contributed by the Pine Island Glacier
catchment (32.2 m<inline-formula><mml:math id="M115" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M116" 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 two catchments yield a
steady-state discharge of 139 m<inline-formula><mml:math id="M117" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M118" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> through lake (i). Under
these continuous flow rates, the three lakes would fill to their spill
points on annual to decadal timescales (Table 2). The basin described by
Kuhn et al. (2017) is smaller than the lakes draining the main glacier catchments
and is modelled to accumulate water at a steady-state rate of 0.23 m<inline-formula><mml:math id="M119" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M120" 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>, filling to its spill point every 45 years. If these example lakes
were to drain over a <inline-formula><mml:math id="M121" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">16</mml:mn></mml:mrow></mml:math></inline-formula>-month period, typical of subglacial
water transfer beneath the contemporary Antarctic Ice Sheet (Wingham et al., 2006), water would be released from the lakes at an average rate of
<inline-formula><mml:math id="M122" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula>–80 m<inline-formula><mml:math id="M123" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M124" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> for the three smaller lakes (i,
ii, iv) and <inline-formula><mml:math id="M125" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">470</mml:mn></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M126" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M127" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> for lake (iii) at the
edge of the individual Pine Island glacier catchment (Table 2).</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2" specific-use="star"><?xmltex \currentcnt{2}?><label>Table 2</label><caption><p id="d1e2081">Volume, filling time, local steady-state discharge, and potential mean flood discharge of lakes displayed in Fig. 5.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="7">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">Lake</oasis:entry>
         <oasis:entry colname="col2">Local steady-state</oasis:entry>
         <oasis:entry colname="col3">Lake</oasis:entry>
         <oasis:entry colname="col4">Time to</oasis:entry>
         <oasis:entry colname="col5">Local potential</oasis:entry>
         <oasis:entry colname="col6">Total upstream</oasis:entry>
         <oasis:entry colname="col7">Potential mean</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">water discharge</oasis:entry>
         <oasis:entry colname="col3">volume</oasis:entry>
         <oasis:entry colname="col4">fill</oasis:entry>
         <oasis:entry colname="col5">mean discharge</oasis:entry>
         <oasis:entry colname="col6">volume</oasis:entry>
         <oasis:entry colname="col7">flood discharge<inline-formula><mml:math id="M131" display="inline"><mml:msup><mml:mi/><mml:mi mathvariant="normal">b</mml:mi></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">(m<inline-formula><mml:math id="M132" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M133" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col3">(km<inline-formula><mml:math id="M134" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col4">(years)</oasis:entry>
         <oasis:entry colname="col5">(m<inline-formula><mml:math id="M135" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M136" 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>)<inline-formula><mml:math id="M137" display="inline"><mml:msup><mml:mi/><mml:mi mathvariant="normal">a</mml:mi></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6">(km<inline-formula><mml:math id="M138" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col7">(m<inline-formula><mml:math id="M139" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M140" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">(i)</oasis:entry>
         <oasis:entry colname="col2">139</oasis:entry>
         <oasis:entry colname="col3">3.29</oasis:entry>
         <oasis:entry colname="col4">0.73</oasis:entry>
         <oasis:entry colname="col5">78.2</oasis:entry>
         <oasis:entry colname="col6">2762</oasis:entry>
         <oasis:entry colname="col7">65690</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">(ii)</oasis:entry>
         <oasis:entry colname="col2">101</oasis:entry>
         <oasis:entry colname="col3">3.47</oasis:entry>
         <oasis:entry colname="col4">1.09</oasis:entry>
         <oasis:entry colname="col5">82.5</oasis:entry>
         <oasis:entry colname="col6">2329</oasis:entry>
         <oasis:entry colname="col7">55390</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">(iii)</oasis:entry>
         <oasis:entry colname="col2">32.2</oasis:entry>
         <oasis:entry colname="col3">19.9</oasis:entry>
         <oasis:entry colname="col4">19.6</oasis:entry>
         <oasis:entry colname="col5">473</oasis:entry>
         <oasis:entry colname="col6">389</oasis:entry>
         <oasis:entry colname="col7">9251</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">(iv)<inline-formula><mml:math id="M141" display="inline"><mml:msup><mml:mi/><mml:mi mathvariant="normal">c</mml:mi></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">0.23</oasis:entry>
         <oasis:entry colname="col3">0.33</oasis:entry>
         <oasis:entry colname="col4">45.1</oasis:entry>
         <oasis:entry colname="col5">7.8</oasis:entry>
         <oasis:entry colname="col6">0.58</oasis:entry>
         <oasis:entry colname="col7">13.8</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p id="d1e2084"><inline-formula><mml:math id="M128" display="inline"><mml:msup><mml:mi/><mml:mi mathvariant="normal">a</mml:mi></mml:msup></mml:math></inline-formula> Local mean discharge calculated by assuming drainage of the lake in 16 months,
assuming no further inflow into the basin during drainage (see Wingham et al., 2006).
<inline-formula><mml:math id="M129" display="inline"><mml:msup><mml:mi/><mml:mi mathvariant="normal">b</mml:mi></mml:msup></mml:math></inline-formula> Potential mean flood discharge calculated by assuming drainage of a large upstream lake in 16 months
(see Wingham et al., 2006), which triggers the cascading drainage of all lakes downstream from that initial event.
<inline-formula><mml:math id="M130" display="inline"><mml:msup><mml:mi/><mml:mi mathvariant="normal">c</mml:mi></mml:msup></mml:math></inline-formula> Basin suggested to be a relict subglacial lake by Kuhn et al. (2017).</p></table-wrap-foot></table-wrap>

      <p id="d1e2417">We quantify the largest possible discharge that could occur through the
channels by considering a scenario in which a large modelled lake, situated
upstream in the Pine Island–Thwaites catchment, drains within 16 months and
triggers a cascade of catastrophic lake drainages downstream. This scenario
represents the most extreme discharge that could have been generated beneath
the LGM configuration of Pine Island and Thwaites glaciers. Under this
scenario, the mean flood discharge through the inner-shelf channels would be
<inline-formula><mml:math id="M142" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">5.5</mml:mn></mml:mrow></mml:math></inline-formula>–<inline-formula><mml:math id="M143" display="inline"><mml:mrow><mml:mn mathvariant="normal">6.6</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> m<inline-formula><mml:math id="M144" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M145" 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>. However,
these are mean discharges. In a modelling study of water transfer between
subglacial lakes in the Adventure subglacial trench, using data from Wingham
et al. (2006), Peters et al. (2009) found that subglacial discharge between the lakes
was highly sensitive to the model parameters used, especially the assumed
channel roughness, and short-lived peak fluxes of around 10 times the
mean discharge were quite conceivable. Given this uncertainty, it may have
been possible to produce short-lived outbursts up to <inline-formula><mml:math id="M146" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">5</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">5</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M147" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M148" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> through the Pine Island Bay
channels. This estimate is of the order of 10 % to 50 % of the maximum
carrying capacity of the channels (Eq. 3). Under the hydraulic potential
gradient of the LGM configuration of the WAIS, channels filled with water to
the bankfull stage would be capable of accommodating flows with an average
discharge of <inline-formula><mml:math id="M149" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">8.8</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M150" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M151" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>.
This carrying capacity would be reduced to <inline-formula><mml:math id="M152" display="inline"><mml:mrow><mml:mn mathvariant="normal">3.5</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M153" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M154" 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> if the channels were 50 % ice filled and to <inline-formula><mml:math id="M155" display="inline"><mml:mrow><mml:mn mathvariant="normal">2.8</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">5</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M156" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M157" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> if they were 90 % ice filled.</p>
</sec>
</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Discussion</title>
<sec id="Ch1.S4.SS1">
  <label>4.1</label><title>Channel formation</title>
      <?pagebreak page1968?><p id="d1e2633">The morphology, discharge carrying capacity, and form distributions of the
Pine Island Bay and Labyrinth channels are strikingly similar despite the
former being significantly larger. Channel form ratios and <inline-formula><mml:math id="M158" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> values
demonstrate that both sets of channels tend to have broad and shallow
V-shaped cross-sectional profiles (Fig. 4), indicative of subglacial
meltwater erosion, rather than the U-shaped morphology associated with
direct glacial erosion (Pattyn and Van Huele, 1998; Rose et al., 2014). Some of
the channels also have trapezoidal cross-sectional forms (<inline-formula><mml:math id="M159" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> values <inline-formula><mml:math id="M160" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">1.3</mml:mn></mml:mrow></mml:math></inline-formula>–1.6; Fig. 7c). This cross-sectional shape has been
associated with high-magnitude discharges of water (e.g. Bretz, 1923,
1969; Gupta et al., 2007; Larsen and Lamb, 2016), although the shape of the
channels in Pine Island Bay, and accordingly their <inline-formula><mml:math id="M161" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> values, may be
unrepresentative where significant sediment infill of the base of the
channel is present (e.g. J. A. Smith et al., 2009). The undulating long-axis
profiles and reverse gradients associated with both sets of channel
inventories combined with their size, shape, and incision into bedrock
suggests that they were formed by high-velocity subglacial meltwater
flowing under hydrostatic pressure (Shreve, 1972; Sugden et al., 1991; Lowe and
Anderson, 2003; Lewis et al., 2006; J. A. Smith et al., 2009; van der Vegt et al., 2012; Nitsche
et al., 2013). Morphometric evidence thus indicates a similar formative process
for both sets of channels; that is, incision by pressurized subglacial
water, albeit executed over a vastly larger scale beneath Pine Island and
Thwaites glaciers than at the Labyrinth (Figs. 3, 7b, c).</p>
      <?pagebreak page1969?><p id="d1e2667">The dimensions and the extensive area over which the submarine channels are
observed indicate that the hydrological system beneath the formerly
expanded Pine Island and Thwaites glaciers at times transported substantial
volumes of pressurized water along consistent routing pathways. The inner-shelf substrate in Pine Island Bay consists mainly of hard granitoid bedrock
and porphyritic dykes (e.g. Pankhurst et al., 1993; Kipf et al., 2012; Gohl et al., 2013; Lindow et al., 2016) that would be resistant to erosion by subglacial meltwater. The transportation of coarse bedload permits water to rapidly incise bedrock (K. L. Cook et al., 2013). In order to mobilize such suitable sediment loads, large fluxes of water would have been required to excavate channels of the size
observed in Pine Island Bay (Alley et al., 1997). Although it is likely that
infilling with ice prevented all of the channels from being active
contemporaneously (Nitsche et al., 2013), even if half of the channel cross
sections were filled with grounded ice, at <inline-formula><mml:math id="M162" display="inline"><mml:mrow><mml:mn mathvariant="normal">3.5</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M163" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M164" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>,  their carrying capacity would still have been
larger than the maximum bankfull discharge estimated for the Labyrinth
(1.6–<inline-formula><mml:math id="M165" display="inline"><mml:mrow><mml:mn mathvariant="normal">2.2</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M166" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M167" 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>) (Lewis et al., 2006).
Constraining the age of the submarine channels, and determining whether any
resculpting by ice occurs within a glacial cycle or over shorter timescales,
is difficult. However, the presence of deformation till in some of the
channels indicates that they have been overridden by wet-based ice since
their incision so may be the outcome of several advances and retreats of
grounded ice through Pine Island Bay (J. A. Smith et al., 2009; Nitsche et al., 2013).</p>
      <p id="d1e2743">Unlike the channels in Pine Island Bay, the age and formation of the
Labyrinth is better constrained, and has been attributed to one or more
subglacial floods sourced from a subglacial lake trapped as the Antarctic
Ice Sheet overrode the Transantarctic Mountains during the Miocene (Lewis
et al., 2006). The last period of Labyrinth channel incision occurred between
14.4 and 12.4 Ma (Marchant et al., 1993;   Marchant and Denton, 1996; Denton and Sugden, 2005; Lewis
et al., 2006). Around this time, the region experienced strong climatic cooling
of at least 8 <inline-formula><mml:math id="M168" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C (Lewis et al., 2007, 2008). This period of cooling
changed the basal thermal regime of the ice in the vicinity of the Labyrinth
to minimally erosive cold-based ice, potentially protecting the channels
from any substantial further erosion (Atkins and Dickinson, 2007). The
absence of post-incisional reworking of the top of the channels by
wet-based ice may explain the tendency for the Labyrinth channels to be
less wide in relation to their depth than the channels in Pine Island Bay
(Fig. 4), and for<?pagebreak page1970?> increased Labyrinth channel cross-sectional area to be
more strongly correlated with channel depth than channel width. In contrast,
increasing cross-sectional area of the channels in Pine Island Bay is
correlated with both channel width and depth, suggesting that glacial
erosion of the sides of the channels has been a significant additional
process influencing the morphology of the channels. This supports the notion
that the channels have been formed and reoccupied over multiple glacial
cycles, allowing subglacial erosion to enlarge the top of the channels and
produce composite features (Fig. 8). Interestingly, this implies that the
Labyrinth channels may represent “purer” meltwater signatures than the
larger features observed in Pine Island Bay.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><?xmltex \currentcnt{8}?><label>Figure 8</label><caption><p id="d1e2758">Schematic of channel formation over multiple
glacial–interglacial cycles. <bold>(a)</bold> Channels are incised by short-lived
episodes of fast-flowing subglacial meltwater, potentially released from
lakes trapped in overdeepenings during ice-sheet advance and retreat. <bold>(b)</bold> Repeated periods of ice overriding widens the top of the channels. <bold>(c)</bold> A composite channel feature, produced over multiple glaciations, is left
exposed on the seafloor. <bold>(d)</bold> Example of a more recently incised channel,
characterized by a V-shaped cross section. <bold>(e)</bold> Cross section of a channel
persisting from previous glacial periods containing both V-shaped
meltwater signatures and a wide upper channel section eroded by ice.
Vertical exaggeration (VE) is <inline-formula><mml:math id="M169" display="inline"><mml:mrow><mml:mn mathvariant="normal">6</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math></inline-formula> in <bold>(d)</bold> and <inline-formula><mml:math id="M170" display="inline"><mml:mrow><mml:mn mathvariant="normal">4.8</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math></inline-formula> in <bold>(e)</bold>.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://tc.copernicus.org/articles/13/1959/2019/tc-13-1959-2019-f08.png"/>

        </fig>

</sec>
<sec id="Ch1.S4.SS2">
  <label>4.2</label><title>Channel water sources</title>
      <p id="d1e2817">The polar desert climate characterizing the contemporary Antarctic Ice Sheet
largely confines the influence of surface melting to the Antarctic Peninsula
and the ice shelves fringing the continent (e.g. Tedesco, 2009; Tedesco and
Monaghan, 2009; Barrand et al., 2013; Trusel et al., 2013; Bell et al., 2017, 2018). Where
present, surface meltwater can be transported efficiently across the ice
surface through the action of surficial meltwater rivers (Bell et al., 2017;
Kingslake et al., 2017) or even enter the englacial system and be stored as
shallow subsurface lakes in some ice shelves (Lenaerts et al., 2016).
However, the absence of surface melting for the majority of the grounded ice
sheet results in the water present within the Antarctic subglacial
hydrological system being sourced from processes that operate almost
exclusively at the ice-sheet bed (Rose et al., 2014). The undulating
long profiles of the channels (Fig. 3f) indicate that they were formed
beneath grounded ice and not from water that propagated through an ice shelf
(Nitsche et al., 2013). Thus, the hydrological conditions characterizing the
grounded interior of the contemporary ice sheet offers the best analogue for
former subglacial water generation. With average summer temperatures around
<inline-formula><mml:math id="M171" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M172" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C at the present-day coast around Pine Island Bay (King and
Turner, 2007), the contribution of surface meltwater to the subglacial
hydrological system can be considered negligible if the past climate were
similar to present, or more likely colder, under late Pleistocene
full-glacial conditions (Trusel et al., 2013). Therefore, even assuming a
climate similar to present, the subglacial meltwater responsible for
bedrock-channel formation could only have been generated by geothermal and
strain heating at the ice-sheet bed.</p>
      <p id="d1e2839">The geothermal heat flux beneath West Antarctica is larger than for the
remainder of the continent due to its location on the West Antarctic Rift
System – an extensional volcanic rift system that stretches across Marie
Byrd Land from Pine Island Glacier and into the Ross Sea (Blankenship et al., 1993; LaMasurier, 2013; Loose et al., 2018). Despite this elevated geothermal
heat flux, the quantity of subglacial meltwater produced by geothermal
heating is estimated to be only 4–10 mm yr<inline-formula><mml:math id="M173" 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> (Dowdeswell et al., 2016) – 2 orders of magnitude less than the maximum rates of surface melt observed on the Antarctic Peninsula today (<inline-formula><mml:math id="M174" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">400</mml:mn></mml:mrow></mml:math></inline-formula> mm yr<inline-formula><mml:math id="M175" 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> w.e.)
(Trusel et al., 2013). Although basal melt rates may be elevated by strain
heating at the lateral shear-margins of ice streams (Bell, 2008; Graham
et al., 2009), the combination of these processes would only yield subglacial
melt rates of up to 90–180 mm yr<inline-formula><mml:math id="M176" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (Dowdeswell et al., 2016).</p>
      <p id="d1e2888">The basin-wide average basal meltwater production rate beneath Pine
Island and Thwaites glaciers is <inline-formula><mml:math id="M177" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">28</mml:mn></mml:mrow></mml:math></inline-formula> mm yr<inline-formula><mml:math id="M178" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> at
present, generating 5.2 km<inline-formula><mml:math id="M179" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> of meltwater per year (Joughin et al., 2009). Our model calculates that under the LGM configuration of these glaciers, meltwater would have been produced at <inline-formula><mml:math id="M180" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula> mm yr<inline-formula><mml:math id="M181" 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> on
average, although elevated melt rates <inline-formula><mml:math id="M182" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">50</mml:mn></mml:mrow></mml:math></inline-formula> mm yr<inline-formula><mml:math id="M183" 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> would
have occurred beneath the thick central trunk of the ice stream. Combined,
these melt rates would have generated a total volume of 12.2 km<inline-formula><mml:math id="M184" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> yr<inline-formula><mml:math id="M185" 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> across the entire LGM catchment. These rates are too low to transport
sediment efficiently and would therefore preclude significant erosion of
bedrock (Alley et al., 1997). This interpretation is supported by the
relationship between channel cross-sectional area and modelled
steady-state discharge as, if the channels were incised by the continuous
flow of meltwater beneath the former Pine Island–Thwaites Ice Stream, we
would expect all large channels to be associated with a high discharge
whereas this is not the case for all channels (e.g. Fig. 7a, c).
Furthermore, there is a discrepancy between the potential carrying capacity
of the channels and the predicted discharges through the channels if the
subglacial water-transfer system is assumed to be in steady state. This
discrepancy occurs because the channels, even if 90 % full of ice, would
be capable of accommodating discharges over 3 orders of magnitude larger
(<inline-formula><mml:math id="M186" display="inline"><mml:mrow><mml:mn mathvariant="normal">2.8</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">5</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M187" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M188" 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>) than the largest steady-state
water fluxes predicted to occur by the numerical model (139 m<inline-formula><mml:math id="M189" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M190" 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 continuous production of basal meltwater beneath former
Pine Island and Thwaites glaciers is therefore insufficient to incise
channels of the size present in Pine Island Bay (Lowe and Anderson, 2003;
Nitsche et al., 2013). Consequently, another mechanism, capable of mobilizing
coarse bedload, is required to explain their formation.</p>
      <p id="d1e3046">Episodic, but high-magnitude, subglacial volcanic activity occurring over
multi-millennial timescales may have supplied large volumes of meltwater to
the subglacial hydrological system of Pine Island and Thwaites glaciers in
the past (Wilch et al., 1999; Nitsche et al., 2013). West Antarctica contains 138
volcanoes, including three extensively eroded Miocene volcanoes and other
younger parasitic cones in the Hudson Mountains, 150 km east of Pine Island
Bay (Nitsche et al., 2013; Van Wyk de Vries et al., 2017; Loose et al., 2018). The most
recent volcanic eruption in this region occurred <inline-formula><mml:math id="M191" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">2200</mml:mn></mml:mrow></mml:math></inline-formula> years
ago (Corr and Vaughan, 2008). Analogies from subglacial volcanic eruptions
in Iceland demonstrate that these events commonly cause meltwater to
accumulate in unstable subglacial lakes incised<?pagebreak page1971?> upwards into the ice
(Björnsson, 1992, 2002). When hydrostatic pressure exceeds the strength
of the ice damming the lake, <italic>jökulhlaup</italic> outburst floods may occur with
observed discharges of up to <inline-formula><mml:math id="M192" display="inline"><mml:mrow><mml:mn mathvariant="normal">5</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> m<inline-formula><mml:math id="M193" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M194" 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>
(Björnsson, 2002). <italic>Jökulhlaups</italic> transport huge amounts of sediment,
on the order of 10 000 000 t per event (Nye, 1976; Roberts, 2005),
allowing them to impose a significant geomorphic imprint upon the landscape,
including the incision of large subglacial channels (Björnsson, 2002;
Russell et al., 2007). However, although it is possible that volcanically induced
subglacial floods supplied large volumes of water to the beds of Pine Island
and Thwaites glaciers in the past, this mechanism does not explain the
occurrence of channelized landforms observed in different, less volcanically
active, regions of Antarctica such as the East Antarctic Soya Coast
(Sawagaki and Hirakawa, 1997) and the western Antarctic Peninsula (e.g.
Ó Cofaigh et al., 2002, 2005; Domack et al., 2006; Anderson and Oakes-Fretwell,
2008). Hence, although episodic volcanism may have contributed water to the
formation of the channel system present in Pine Island Bay, it is unlikely
to represent the sole or dominant mechanism through which the channels
formed.</p>
      <p id="d1e3103">Meltwater features, similar to the channels in Pine Island Bay, have been
mapped and modelled beneath other former ice sheets such as the
Fennoscandian and Barents Sea ice sheets (Greenwood et al., 2016, 2017;
Bjarnadóttir et al., 2017; Shackleton et al., 2018) and the Laurentide Ice Sheet
(Mullins and Hinchey, 1989; Kor et al., 1991; Brennand and Shaw, 1994;
Livingstone et al., 2013a, 2016; Livingstone  and Clark, 2016). The deglacial
configuration of these former ice sheets was likely conducive to producing
large volumes of surface meltwater that may have propagated to the bed
(Carlson et al., 2008; Jansen et al., 2014), similar to that observed on the margins
of the contemporary Greenland Ice Sheet (Zwally et al., 2002; Das et al., 2008;
Bartholomew et al., 2012). Subglacial streams fed by surface melt have high
discharges and an exceptional sediment transport capacity due to the short
time period in which supraglacial drainage occurs (Alley et al., 1997). When this
water is delivered to portions of the bed where unconsolidated sediments
have been stripped away, these high water fluxes will have very large
unsatisfied transport capacities and will be able to rapidly erode bedrock
if paired with a suitable bedload (Alley et al., 1997; K. L. Cook et al., 2013).
Exceptionally high erosion rates have been associated with<?pagebreak page1972?> supraglacial
water input to the Greenland subglacial hydrological system (<inline-formula><mml:math id="M195" display="inline"><mml:mrow><mml:mn mathvariant="normal">4.8</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2.6</mml:mn></mml:mrow></mml:math></inline-formula> mm yr<inline-formula><mml:math id="M196" 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>; 1–2 orders of magnitude larger than long-term estimates of
denudation rates beneath the Greenland Ice Sheet) (Andrews et al., 1994; Cowton
et al., 2012), and the input of supraglacial meltwater into the subglacial
hydrological system of the deglaciating Fennoscandian Ice Sheet has been
proposed to have cut large undulating gorges into bedrock in northern Sweden
(Jansen et al., 2014).</p>
      <p id="d1e3130">Although the injection of surface meltwater to the bed of the Antarctic Ice
Sheet through hydrofracture is potentially forecast under future climate
warming scenarios (Bell et al., 2018), the extent to which surface melting of the
Antarctic Ice Sheet may have occurred in the past is poorly constrained.
However, evidence from environmental proxies (Escutia et al., 2009; C. P. Cook et al., 2013), sea-level reconstructions (Miller et al., 2012), and numerical modelling
simulations (DeConto and Pollard, 2003) indicates that significant
circum-Antarctic warming occurred during the Miocene and the Pliocene
(5.3–2.6 Ma) epochs. This climate warming may have raised surface
temperatures sufficiently to facilitate surface melt across significant
portions of the Antarctic interior (Rose et al., 2014). However,
numerical model simulations suggest that despite peak Miocene air
temperatures being sufficiently warm to facilitate surface melting, it is
unlikely that the WAIS was developed enough at this time to allow
large-scale grounded ice to extend onto the inner continental shelf of the
Amundsen Sea, precluding the possibility of subglacial channel formation in
Pine Island Bay (DeConto and Pollard, 2003).</p>
      <p id="d1e3133">The establishment of a more expansive, yet dynamic (C. P. Cook et al., 2013), WAIS
during the Pliocene (Pollard and DeConto, 2009; DeConto and Pollard, 2016),
combined with temperatures 2 to 3 <inline-formula><mml:math id="M197" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C warmer than
present (Dowsett, 2007), makes this epoch a potential candidate for when
substantial quantities of surficial meltwater could propagate to the bed of
the WAIS and form the meltwater channels. Ice-sheet modelling by Raymo et al. (2006) predicts that the extent of Pliocene summer melting on the East
Antarctic Ice Sheet margin would have been comparable to the considerable
quantities of supraglacial meltwater produced during the summer ablation
season of the contemporary Greenland Ice Sheet (e.g. Abdalati and Steffen,
2001; Zwally et al., 2002; Hanna et al., 2008). If a comparable level of surface melt
also occurred on the surface of the WAIS at this time, substantial
quantities of supraglacial meltwater could have propagated to the expanded
ice sheet's bed, facilitating channel incision (Rose et al., 2014). Although
bedrock channels exist on the Greenland continental shelf (Ó Cofaigh et al., 2004; Dowdeswell et al., 2010) and beneath the contemporary Greenland Ice Sheet
(Bamber et al., 2013; Livingstone et al., 2017), they are not nearly as common as
those offshore of the WAIS and the formation of many has been attributed to
turbidity currents or fluvial activity predating the inception of the
Greenland Ice Sheet (e.g. Cooper et al., 2016; Batchelor et al., 2018). Accordingly,
if supraglacial water injection is responsible for the incision of the
Antarctic channels, it raises the question of why these features are not
more common on the margin of the Greenland Ice Sheet where this process is
known to occur, or why channels have not been observed forming beneath the
contemporary ice sheet today.</p>
      <p id="d1e3145">An alternative source of water with which the channels could have formed is
subglacial lakes produced by the accumulation of subglacial meltwater in
hydraulic potential lows. The seafloor of Pine Island Bay and the bed of the
LGM catchment contain multiple bedrock basins where low hydraulic potential
provides favourable locations for water to pond beneath the WAIS at the LGM
(Figs. 5, 7d). The dimensions of the basins beyond the current Pine
Island–Thwaites glacier margins are of the same order of magnitude as many
contemporary subglacial lakes occupying bedrock basins. For example, Lake
Ellsworth has an area of 29 km<inline-formula><mml:math id="M198" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> (Siegert et al., 2004) whereas the basins
beyond PIG and TG have planimetric areas between 5 and
160 km<inline-formula><mml:math id="M199" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>. The modelled water bodies have volumes, filling–draining
times, and steady-state inflow and outflow fluxes that are comparable to
contemporary subglacial lake drainage events observed using satellite
altimetry (Wingham et al., 2006; Fricker et al., 2007; Flament et al., 2014; Smith et al., 2017). The bedrock basins in Pine Island Bay are infilled with several to
tens of metres of sediment (Nitsche et al., 2013). Sediments recovered from one
of these basins suggest deposition in a low-energy freshwater subglacial
lake environment during the last glacial period (Kuhn et al., 2017), an
interpretation that is consistent with the low-magnitude water flux modelled
for the basin sampled (0.23 m<inline-formula><mml:math id="M200" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M201" 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 fact that the largest
channels are located at the edge of the subglacial lakes (Fig. 6b) strongly
supports the notion that channel genesis is connected to the basins,
possibly through episodic outbursts of water from former subglacial lakes.
Consequently, similar to other areas offshore of the Antarctic Peninsula
(Domack et al., 2006; Larter et al., 2019), it is possible that the bedrock basins in Pine Island Bay
may represent the locations of relict subglacial lakes in past glacial
periods that episodically drained to form the subglacial channels (Domack
et al., 2006; Livingstone et al., 2013b; Kuhn et al., 2017).</p>
      <p id="d1e3187">Although multiple subglacial lake drainage events have been observed beneath
the contemporary Antarctic Ice Sheet (e.g. Gray et al., 2005; Wingham et al., 2006;
Fricker et al., 2007; B. E. Smith et al., 2009, 2017), the peak discharge and volume of
water displaced during contemporary lake drainage is 4 to 5 orders of
magnitude smaller than the amount that we predict the channels in Pine
Island Bay could accommodate, even when mostly filled with ice. Furthermore,
models of active subglacial lake drainage most closely replicate observed
subglacial lake behaviour when water mechanically erodes shallow canals into
the underlying deformable sediment rather than producing an R-channel
(Röthlisberger, 1972; Fowler, 2009; Carter et al., 2009, 2017). These results are consistent with measured pore<?pagebreak page1973?> water pressures
beneath Whillans Ice Stream (Blankenship et al., 1987; Engelhardt et al., 1990; Walder
and Fowler, 1994; Alley et al., 1997) and radar specularity analysis of
present-day Thwaites Glacier, although, in the case of the latter, it is
possible that a focused channelized system exists further downstream
(Schroeder et al., 2013). These observations may imply that many active
subglacial lakes require soft bedded sediments to form and drain (Carter et al., 2017), explaining the tendency for these features to lack the characteristic
basal reflection properties used to identify subglacial lakes with
radio–echo sounding (Siegert et al., 2015; Carter et al., 2017; Humbert et al., 2018).
However, it may be possible to produce, and temporarily sustain,
R channels with cross-sectional areas of <inline-formula><mml:math id="M202" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M203" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>
when water is transferred between a system of bedrock overdeepenings by
pressure waves that propagate along the length of an ice stream over several
years (Fricker et al., 2014; Dow et al., 2018), or along ice stream shear margins
where basal meltwater production rates are high (Perol et al., 2015; Elsworth and
Suckale, 2016; Meyer et al., 2016; Bougamont et al., 2018).</p>
      <p id="d1e3209">The extent to which the active subglacial lake drainage events observed in
the satellite era are representative of the behaviour of the Antarctic
subglacial hydrological system over a full-glacial–interglacial cycle,
especially during ice-sheet advance and retreat, is unknown. Differences
in discharge magnitude and their association with soft sediments limit the
use of present-day subglacial lake drainage as an analogy for the
mechanism which incised channels into hard crystalline bedrock in Pine
Island Bay. However, past outburst flooding from subglacial lakes has been
suggested to have had a substantial impact on the landscape elsewhere in
Antarctica (e.g. Domack et al., 2006; Lewis et al., 2006; Jordan et al., 2010; Larter et al., 2019). Jordan et al. (2010) proposed that outbursts sourced from a
palaeo-subglacial lake with a volume of 850 km<inline-formula><mml:math id="M204" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> were responsible for
the formation of a series of kilometre-wide bedrock canyons in the Wilkes
Subglacial Basin. This lake is proposed to have accumulated and
catastrophically drained during the expansion of the East Antarctic Ice
Sheet in the Miocene epoch, at a similar time to when the Labyrinth and the
other channel systems in Victoria Land are suggested to have formed (Denton
et al., 1984,  1993; Sugden et al., 1999; Sugden and Denton, 2004; Denton and Sugden,
2005). Morphological evidence for past outburst flood occurrence also exists
elsewhere in Scandinavia (Mannerfelt, 1945; Holtedahl, 1967), in North
America (Bretz, 1923; Ives, 1958; Wright Jr., 1973), and in Scotland (Sissons,
1958). The largest of these floods was the release of <inline-formula><mml:math id="M205" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">2500</mml:mn></mml:mrow></mml:math></inline-formula> km<inline-formula><mml:math id="M206" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> of water during the Missoula floods in eastern Washington
state, USA, which have been estimated to have attained peak discharges of
<inline-formula><mml:math id="M207" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">1.7</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">7</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M208" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M209" 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> (Waitt, 1985; O'Connor and
Baker, 1992). Although the Missoula floods were released from a proglacial,
rather than subglacial, source, their estimated volume is similar to the
amount of water that could have drained from beneath former Pine Island and
Thwaites glaciers if a cascade of upstream lake drainage were to occur (Table 2).</p>
      <p id="d1e3280">Two models of how Antarctic lakes could form and then drain catastrophically
have been hypothesized. Alley et al. (2006) proposed a model in which seawater
becomes trapped in bedrock basins by the advance and thickening of an ice
shelf over the sill of bedrock overdeepenings. Water pressure in the basins
would build until the hydraulic potential exceeds that of the next basin
downstream, culminating in short-lived, high-magnitude water drainage
events, or floods. An alternative hypothesis was put forward by Jordan et al. (2010) in which subglacial water ponds in hydraulic-potential lows
produced by the reduced ice-surface slope associated with an advancing
ice sheet, with flooding occurring during ice-sheet retreat (Jordan et al., 2010). Both of these lake drainage models occur during either
large-scale ice sheet advance or retreat, so are outside of the
subglacial hydrodynamics captured by modern observations. Numerical
calculations show that these types of event are capable of producing peak
discharges of <inline-formula><mml:math id="M210" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">5</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M211" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M212" 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> (Evatt et al., 2006).
Our numerical model results demonstrate that the cascading release of water
trapped in a large upstream basin could initiate a flood with a peak
discharge of <inline-formula><mml:math id="M213" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">5</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">5</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M214" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M215" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. This
discharge is approximately equal to the potential carrying capacity of the
channels if they were partially ice filled at the time of the flood.</p>
      <p id="d1e3356">Although high-magnitude fluxes of water could have been released beneath
Pine Island and Thwaites glaciers through cascades of subglacial lake
drainage, recent modelling by Beaud et al. (2018) suggests that significant
erosion can be achieved by relatively low influxes (<inline-formula><mml:math id="M216" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M217" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M218" 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>) of seasonal meltwater into the subglacial system when
repeated regularly throughout a glacial cycle. For an idealized ice sheet
geometry, these simulations demonstrate that small but regular influxes of
meltwater are able to excavate channels up to <inline-formula><mml:math id="M219" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula> m deep and
100 m wide into a bedrock substrate over the course of 7500 years (Beaud et al., 2018). Although the model omits plucking, which may play a significant role
in the erosion of fractured bedrock by large floods (e.g. Lamb and Fonstad,
2010; Larsen and Lamb, 2016), the substrate eroded in the model is similar
to the hard bedrock present in Pine Island Bay and can therefore be used to
assess the formation timescale of the submarine channels. With an average
depth of 43 m and a mean width of 507 m, the channels present in Pine Island
Bay are substantially larger than the channels that Beaud et al. (2018) are able
to erode in a single glacial cycle. This supports the interpretation that
the huge channels observed beyond the present margins of Pine Island and
Thwaites glaciers must have formed over more than one glacial period. The
fluxes of meltwater produced by subglacial lake drainage beneath Pine Island
and Thwaites glaciers in the past span discharges similar to those used in
the Beaud et al. (2018) simulations to several of orders of magnitude more
depending on whether the drainage was cascading or only sourced from a
single lake. Accordingly, we<?pagebreak page1974?> can envisage a scenario in which recurrent
releases of subglacial meltwater trapped in bedrock basins, ranging from
frequent gradual drainages to larger outburst floods, could have cut large
channels into bedrock over the course of several glacial cycles. The former
lake basins may have acted as sedimentary depocentres which supplied bedload
during subglacial lake discharge to enhance the erosive potential of the
floods. Thus, when paired with a suitable sediment load for channel erosion,
outbursts from a population of subglacial lakes occupying large bedrock
basins, occurring as either repeated small outbursts or larger, less
frequent, drainage cascades triggered by ice sheet advance or retreat, may
have been sufficiently erosive to excavate huge channels in the bedrock of
Pine Island Bay.</p>
</sec>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <label>5</label><title>Conclusion</title>
      <p id="d1e3409">The huge palaeo-channel-and-basin systems beyond modern Pine Island and
Thwaites glaciers are evidence for an organized and dynamic subglacial
hydrological system beneath former major outlets of the WAIS. Channels of
greater dimensions than those in the Labyrinth can only have been incised by
large discharges of water flowing under subglacial hydraulic pressure. Our
numerical model produces similar steady-state discharges and filling and
drainage timescales to those that are observed for subglacial lakes beneath
the contemporary Antarctic Ice Sheet. However, the fluxes of water flowing
in continuous steady state beneath the LGM ice sheet are too low to have
formed channels of the scale observed in Pine Island Bay. Rather, a
higher-magnitude, lower-frequency mechanism is required to explain the
formation of the channels. Many mechanisms could have been responsible for
channel formation, including propagation of surface melt to the bed and
subglacial volcanic eruptions. However, we have argued that on the basis of
their geomorphological similarity to features known to have been formed by
outburst flooding and their ability to accommodate discharges of at least
<inline-formula><mml:math id="M220" display="inline"><mml:mrow><mml:mn mathvariant="normal">2.8</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">5</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M221" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M222" 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>, even when mostly filled with
ice, the most likely candidate for the formation of the Pine Island Bay
channel system was episodic releases of meltwater trapped in upstream
subglacial lakes, potentially triggered by ice-sheet advance or retreat.
This mechanism may be outside the range of processes captured by modern
observations of subglacial hydrology, but is likely to have had an impact on
the flow regime of these large ice streams that continue to dominate
ice-sheet discharge today. Further observations of the duration and
frequency of contemporary subglacial drainage events and the incorporation
of more detailed bed topographies into numerical models will help elucidate
the role that organized, episodic outburst flooding plays in the dynamics of
the Antarctic Ice Sheet.</p><?xmltex \hack{\newpage}?>
</sec>

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

      <p id="d1e3453">Marine geophysical data are available on request to the UK Polar Data
Centre (<uri>https://www.bas.ac.uk/data/uk-pdc/</uri>, last access: 9 July 2019) and the National Centres for
Environmental Information
(<uri>https://www.ngdc.noaa.gov/mgg/bathymetry/multibeam.html</uri>, last access: 9 July 2019) for JCR and NBP
data, respectively, and on request via PANGAEA (<uri>https://pangaea.de/</uri>, last access: 9 July 2019) for
<italic>Polarstern</italic> data. The Dry Valleys lidar DEM is available online from the
United States Antarctic Resource Center (2017)
(<uri>https://usarc.usgs.gov/lidar_dload.shtml</uri>). PISM model
outputs are available from Nicholas R. Golledge upon reasonable request; hydrological
model outputs and other datasets analysed during the study are available
upon reasonable request to the corresponding author.</p>
  </notes><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e3474">RDL, JAD and KAH conceived the study; they and FON participated
in cruises to collect the data. JDK analysed the bathymetry and lidar
data and conducted the channel measurements. Numerical modelling was
conducted by NSA, NRG, and JDK. JDK wrote the initial paper
with substantial contributions from KAH, JAD and RDL. All authors
contributed to data interpretation and writing of the final paper.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e3480">The authors declare that they have no conflict of interest.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e3486">We thank the masters and crews of the research vessels, RVIB <italic>Nathaniel B. Palmer</italic> (NBP), RRS <italic>James Clark Ross</italic> (JCR), and RV <italic>Polarstern</italic> for their support during data acquisition. Bathymetry data from the expedition ANT-XXIII/4 (Schenke et al., 2008) were provided courtesy of the Bathymetry Working Group, Geophysical Department, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research. We thank Povl Abrahamsen for helping to initially clean the iSTAR bathymetry data. We would like to thank Stephen Livingstone and Calvin Shackleton for helpful reviews that improved the paper.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e3500">Data acquisition using the RRS <italic>James Clark Ross</italic> was supported by funding from the UK Natural Environment Research Council’s iSTAR programme (grant nos. NE/J005703/1, NE/J005746/1, and NE/J005770/1). James D. Kirkham was supported by a Debenham Scholarship from the Scott Polar Research Institute, University of Cambridge, and a UK Natural Environment Research Council Ph.D. studentship awarded through the Cambridge Earth System Science Doctoral Training Partnership (grant no. NE/L002507/1). Frank O. Nitsche was supported by NSF award 0838735. Kelly A. Hogan and Robert D. Larter were supported by the Natural Environment Research Council – British Antarctic Survey Polar Science for Planet Earth programme.</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e3509">This paper was edited by Chris R. Stokes and reviewed by Stephen Livingstone and Calvin Shackleton.</p>
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    <!--<article-title-html>Past water flow beneath Pine Island and Thwaites glaciers, West Antarctica</article-title-html>
<abstract-html><p>Outburst floods from subglacial lakes beneath the Antarctic Ice Sheet
modulate ice-flow velocities over periods of months to years. Although
subglacial lake drainage events have been observed from
satellite-altimetric data, little is known about their role in the
long-term evolution of ice-sheet basal hydrology. Here, we
systematically map and model past water flow through an extensive area
containing over 1000 subglacial channels and 19 former lake basins exposed
on over 19&thinsp;000&thinsp;km<sup>2</sup> of seafloor by the retreat of Pine Island and
Thwaites glaciers, West Antarctica. At 507&thinsp;m wide and 43&thinsp;m deep on average,
the channels offshore of present-day Pine Island and Thwaites glaciers
are approximately twice as deep, 3 times as wide, and cover an area over
400 times larger than the terrestrial meltwater channels comprising the
Labyrinth in the Antarctic Dry Valleys. The channels incised into bedrock
offshore of contemporary Pine Island and Thwaites glaciers would have been
capable of accommodating discharges of up to 8.8×10<sup>6</sup>&thinsp;m<sup>3</sup>&thinsp;s<sup>−1</sup>. We suggest that the channels were formed by episodic discharges
from subglacial lakes trapped during ice-sheet advance and retreat over
multiple glacial periods. Our results document the widespread influence of
episodic subglacial drainage events during past glacial periods, in
particular beneath large ice streams similar to those that continue to
dominate contemporary ice-sheet discharge.</p></abstract-html>
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