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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">
  <front>
    <journal-meta><journal-id journal-id-type="publisher">CP</journal-id><journal-title-group>
    <journal-title>Climate of the Past</journal-title>
    <abbrev-journal-title abbrev-type="publisher">CP</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Clim. Past</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1814-9332</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/cp-17-451-2021</article-id><title-group><article-title>Long-term global ground heat flux and continental heat storage from geothermal data</article-title><alt-title>Long-term global continental heat storage</alt-title>
      </title-group><?xmltex \runningtitle{Long-term global continental heat storage}?><?xmltex \runningauthor{F. J. Cuesta-Valero et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Cuesta-Valero</surname><given-names>Francisco José</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-1577-671X</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>García-García</surname><given-names>Almudena</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-1333-4774</ext-link></contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff3">
          <name><surname>Beltrami</surname><given-names>Hugo</given-names></name>
          <email>hugo@stfx.ca</email>
        <ext-link>https://orcid.org/0000-0001-9576-8933</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>González-Rouco</surname><given-names>J. Fidel</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-7090-6797</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>García-Bustamante</surname><given-names>Elena</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-2677-0252</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Climate &amp; Atmospheric Sciences Institute, St. Francis Xavier University, Antigonish, NS, Canada</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Environmental Sciences Program, Memorial University of Newfoundland, St. John's, NL, Canada</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Department of Earth Sciences, St. Francis Xavier University, Antigonish, Nova Scotia, Canada</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Departamento de Física de la Tierra y
Astrofísica, Universidad Complutense de Madrid, 28040 Madrid, Spain</institution>
        </aff>
        <aff id="aff5"><label>5</label><institution>Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Hugo Beltrami (hugo@stfx.ca)</corresp></author-notes><pub-date><day>19</day><month>February</month><year>2021</year></pub-date>
      
      <volume>17</volume>
      <issue>1</issue>
      <fpage>451</fpage><lpage>468</lpage>
      <history>
        <date date-type="received"><day>1</day><month>May</month><year>2020</year></date>
           <date date-type="rev-request"><day>20</day><month>May</month><year>2020</year></date>
           <date date-type="rev-recd"><day>2</day><month>November</month><year>2020</year></date>
           <date date-type="accepted"><day>24</day><month>November</month><year>2020</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2021 Francisco José Cuesta-Valero et al.</copyright-statement>
        <copyright-year>2021</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://cp.copernicus.org/articles/17/451/2021/cp-17-451-2021.html">This article is available from https://cp.copernicus.org/articles/17/451/2021/cp-17-451-2021.html</self-uri><self-uri xlink:href="https://cp.copernicus.org/articles/17/451/2021/cp-17-451-2021.pdf">The full text article is available as a PDF file from https://cp.copernicus.org/articles/17/451/2021/cp-17-451-2021.pdf</self-uri>
      <abstract><title>Abstract</title>
    <p id="d1e144">Energy exchanges among climate subsystems are of critical importance to determine the climate sensitivity of the Earth's system to greenhouse gases, to quantify the magnitude and evolution of the Earth's energy imbalance, and to project the evolution of future climate. Thus, ascertaining the magnitude of and change in the Earth's energy partition within climate subsystems has become urgent in recent years. Here, we provide new global estimates of changes in ground surface temperature, ground surface heat flux, and continental heat storage derived from geothermal data using an expanded database and new techniques. Results reveal markedly higher changes in ground heat flux and heat storage within the continental subsurface than previously reported, with land temperature changes of 1 K and continental heat gains of around 12 ZJ during the last part of the 20th century relative to preindustrial times. Half of the heat gain by the continental subsurface since 1960 has occurred in the last 20 years.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e156">Climate change is a consequence of the current radiative imbalance at the top of the atmosphere, which delivers an excess amount of energy to the Earth's system in comparison with preindustrial conditions <xref ref-type="bibr" rid="bib1.bibx35 bib1.bibx87 bib1.bibx53" id="paren.1"/>. Nonetheless, the energy imbalance presents an interhemispheric asymmetry that is larger in the Southern Hemisphere <xref ref-type="bibr" rid="bib1.bibx58 bib1.bibx44" id="paren.2"/>. This asymmetry causes an increase in the heat uptake by the ocean surface in the Southern Hemisphere in comparison with the ocean heat uptake in the Northern Hemisphere. Hence, a cross-equatorial northward transport of heat emerges to compensate for this asymmetry <xref ref-type="bibr" rid="bib1.bibx53" id="paren.3"/>, in addition to the global meridional heat transport caused by the different radiation levels reaching the tropical and polar oceans <xref ref-type="bibr" rid="bib1.bibx92" id="paren.4"/>. The hemispheric distribution of heat uptake, heat storage, and heat transport is expected to change under different emission scenarios <xref ref-type="bibr" rid="bib1.bibx44" id="paren.5"/>, meaning that characterizing where the heat enters the system (uptake), where the heat is allocated (storage), and where the heat is redistributed (transport) is of critical importance to understand the evolution of climate change.</p>
      <p id="d1e174">The vast majority of excess heat due to the Earth's energy imbalance is stored in the ocean (84 %–93 %), followed by the cryosphere (4 %–7 %) and the continental subsurface (2 %–5 %), with the atmosphere showing less heat storage term (1 %–4 %) <xref ref-type="bibr" rid="bib1.bibx55 bib1.bibx21" id="paren.6"/>. Therefore, extensive resources are devoted to monitoring and understanding the evolution of the ocean heat content, since it is also an indirect method to study the magnitude and variations of the energy imbalance at the top of the atmosphere that contributes to sea level rise <xref ref-type="bibr" rid="bib1.bibx72 bib1.bibx71 bib1.bibx47 bib1.bibx80 bib1.bibx97 bib1.bibx70" id="paren.7"/>. The<?pagebreak page452?> rest of the components of the climate system have relevant roles in the Earth's heat inventory, despite their small contribution to storage <xref ref-type="bibr" rid="bib1.bibx55 bib1.bibx21 bib1.bibx35 bib1.bibx97" id="paren.8"/>. For instance, some energy-dependent processes are permafrost stability and the associated permafrost carbon feedback <xref ref-type="bibr" rid="bib1.bibx61 bib1.bibx41" id="paren.9"/>, changes in circulation patterns <xref ref-type="bibr" rid="bib1.bibx91 bib1.bibx84" id="paren.10"/>, and sea level rise from ice melting <xref ref-type="bibr" rid="bib1.bibx45 bib1.bibx96 bib1.bibx29 bib1.bibx70" id="paren.11"/>. The additional energy in the atmosphere, cryosphere, and continental subsurface also affects near-surface conditions, having important consequences for society. Increases in atmospheric heat content produce warmer surface air temperature and larger amounts of water within the atmosphere that can impact crop yields and consequently global food security <xref ref-type="bibr" rid="bib1.bibx57 bib1.bibx81 bib1.bibx73 bib1.bibx15" id="paren.12"/> as well as degrading human health due to heat stress <xref ref-type="bibr" rid="bib1.bibx86 bib1.bibx64 bib1.bibx100" id="paren.13"/>. Floods induced by extreme precipitation events, the frequency and intensity of which are affected by the amount of water in the atmosphere, and floods induced by sea level rise caused by the thermal expansion of the ocean and melting of Greenland and Antarctica ice sheets are likely to impact human settlements <xref ref-type="bibr" rid="bib1.bibx65 bib1.bibx49" id="paren.14"/>. Furthermore, all these alterations of surface environmental conditions may enhance the spread of diseases <xref ref-type="bibr" rid="bib1.bibx56 bib1.bibx66 bib1.bibx101 bib1.bibx100" id="paren.15"/>, among other potential risks.</p>
      <p id="d1e208">Long-term global estimates of heat storage within the continental subsurface have been previously estimated from borehole temperature profile (BTP) measurements. Changes in the energy balance at the land surface add or remove heat from the upper continental crust, changing the long-term subsurface equilibrium temperature profile <xref ref-type="bibr" rid="bib1.bibx5" id="paren.16"/>. Such temperature changes propagate through the ground by conduction and are recorded in the subsurface as perturbations to the quasi-steady-state vertical temperature profile. Borehole climatology consists of estimating variations in ground surface temperature and heat flux from these recorded alterations in the subsurface thermal regime. Ground surface temperature histories  and ground heat flux histories have been retrieved from BTP measurements at both regional and hemispheric scales for multi-century to multi-millennial time periods <xref ref-type="bibr" rid="bib1.bibx52 bib1.bibx17 bib1.bibx2 bib1.bibx95 bib1.bibx50 bib1.bibx43 bib1.bibx37 bib1.bibx82 bib1.bibx6 bib1.bibx39 bib1.bibx9 bib1.bibx42 bib1.bibx20 bib1.bibx27 bib1.bibx1 bib1.bibx28 bib1.bibx46 bib1.bibx74" id="paren.17"/>, constituting a useful reference for evaluating climate simulations performed by atmosphere–ocean coupled general circulation models beyond the observational period <xref ref-type="bibr" rid="bib1.bibx34 bib1.bibx89 bib1.bibx60 bib1.bibx24 bib1.bibx31 bib1.bibx25" id="paren.18"/>, as well as for evaluating reconstructions derived from other paleoclimate data <xref ref-type="bibr" rid="bib1.bibx30 bib1.bibx63 bib1.bibx46 bib1.bibx12" id="paren.19"/>.</p>
      <p id="d1e223">Previous global estimates of GHC, ground heat flux histories, and ground heat temperature histories were retrieved from BTP measurements nearly 2 decades ago <xref ref-type="bibr" rid="bib1.bibx77 bib1.bibx43 bib1.bibx8 bib1.bibx4 bib1.bibx76" id="paren.20"/>, including a limited characterization of uncertainties. Meanwhile, advances in borehole methodology have allowed researchers to assess the uncertainty in borehole reconstructions induced by a series of factors: the presence of advection and freezing phenomena, the sampling rate and the depth range used in the determination of the quasi-equilibrium profile, the depth of the log, the different logging dates of the profiles, the noise in the measured profile, the number of retained eigenvalues for obtaining stable solutions, the spatial distribution of borehole measurements, and the transient variations in the subsurface thermal regime due to the end of the last glacial cycle <xref ref-type="bibr" rid="bib1.bibx13 bib1.bibx39 bib1.bibx79 bib1.bibx33 bib1.bibx68 bib1.bibx34 bib1.bibx78 bib1.bibx10 bib1.bibx11 bib1.bibx31 bib1.bibx46 bib1.bibx12 bib1.bibx67" id="paren.21"/>. These advances, together with the availability of new BTP measurements, make necessary an update of the global long-term evolution of ground heat content from borehole data.</p>
      <p id="d1e233">Here, we use an expanded borehole database to estimate global ground surface temperature histories, ground heat flux histories, and ground heat content within the continental subsurface for the last 4 centuries. Surface temperature and heat flux histories are retrieved from each BTP using a singular value decomposition (SVD) algorithm, one of the standard borehole methodologies employed in previous analyses <xref ref-type="bibr" rid="bib1.bibx8 bib1.bibx4" id="paren.22"/>, and a new approach based on generating an ensemble of inversions for each temperature profile to explore additional sources of uncertainty unaddressed in previous global borehole reconstructions.</p>
      <?pagebreak page453?><p id="d1e239">We find higher values of surface temperature, ground heat flux at the surface, and ground heat content from borehole data than previously reported. The estimated global surface temperature change since preindustrial times is in agreement with meteorological observations, proxy reconstructions, and general circulation model simulations. The higher continental heat storage implies that a larger amount of the additional energy gained by the Earth system is allocated within the continental subsurface than previously thought. These results reinforce the necessity of monitoring continental heat storage and the need for improving the representation of the land component of the Earth's heat inventory within long-term climate simulations.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Theory</title>
<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>Subsurface temperature profile</title>
      <p id="d1e257">In borehole climatology, the continental subsurface is typically represented as a semi-infinite solid bounded by the plane <inline-formula><mml:math id="M1" display="inline"><mml:mrow><mml:mi>z</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0</mml:mn></mml:mrow></mml:math></inline-formula> that extends to infinity in the direction of <inline-formula><mml:math id="M2" display="inline"><mml:mi>z</mml:mi></mml:math></inline-formula> positive <xref ref-type="bibr" rid="bib1.bibx16" id="paren.23"><named-content content-type="pre">i.e., downwards,</named-content></xref>. That is, the subsurface is considered to be a homogeneous medium of infinite depth without internal sources of heat, wherein energy exchanges at the land surface and heat flux from the Earth's interior are considered to be the upper and bottom boundary conditions. The local subsurface thermal regime is therefore the result of a balance between the surface thermal state and the thermal conditions of the Earth's interior. If surface conditions remain stable at long timescales, the subsurface thermal regime would be at quasi-equilibrium since the flux from the Earth's interior is constant at geological timescales (million years). Thereby, the subsurface temperature profile can be expressed as the superposition of the transient temperature due to changes in the surface conditions (<inline-formula><mml:math id="M3" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mi mathvariant="normal">t</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) relative to the long-term quasi-equilibrium state <xref ref-type="bibr" rid="bib1.bibx16" id="paren.24"/>:
            <disp-formula id="Ch1.E1" content-type="numbered"><label>1</label><mml:math id="M4" display="block"><mml:mrow><mml:mi>T</mml:mi><mml:mfenced close=")" open="("><mml:mi>z</mml:mi></mml:mfenced><mml:mo>=</mml:mo><mml:msub><mml:mi>T</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>+</mml:mo><mml:msub><mml:mi>q</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mi>R</mml:mi><mml:mfenced close=")" open="("><mml:mi>z</mml:mi></mml:mfenced><mml:mo>+</mml:mo><mml:msub><mml:mi>T</mml:mi><mml:mi mathvariant="normal">t</mml:mi></mml:msub><mml:mfenced open="(" close=")"><mml:mi>z</mml:mi></mml:mfenced><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          where <inline-formula><mml:math id="M5" display="inline"><mml:mi>z</mml:mi></mml:math></inline-formula> is depth, <inline-formula><mml:math id="M6" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> is the long-term surface temperature, <inline-formula><mml:math id="M7" display="inline"><mml:mrow><mml:msub><mml:mi>q</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> is the heat flux from the Earth's interior, and <inline-formula><mml:math id="M8" display="inline"><mml:mrow><mml:mi>R</mml:mi><mml:mfenced close=")" open="("><mml:mi>z</mml:mi></mml:mfenced><mml:mo>=</mml:mo><mml:msubsup><mml:mo>∫</mml:mo><mml:mn mathvariant="normal">0</mml:mn><mml:mi>z</mml:mi></mml:msubsup><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:msup><mml:mi>z</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow><mml:mrow><mml:mi mathvariant="italic">λ</mml:mi><mml:mfenced open="(" close=")"><mml:mrow><mml:msup><mml:mi>z</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:mfenced></mml:mrow></mml:mfrac></mml:mstyle></mml:mrow></mml:math></inline-formula> is the thermal resistance (in m<inline-formula><mml:math id="M9" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> K W<inline-formula><mml:math id="M10" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>), which depends on the thermal conductivity <inline-formula><mml:math id="M11" display="inline"><mml:mrow><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">λ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> of the ground <xref ref-type="bibr" rid="bib1.bibx14" id="paren.25"/>. Since measurements of thermal conductivity profiles are scarce and the measured profiles typically display variations around a constant value with depth, the thermal conductivity can be assumed to be constant and Eq. (<xref ref-type="disp-formula" rid="Ch1.E1"/>) can be rewritten as
            <disp-formula id="Ch1.E2" content-type="numbered"><label>2</label><mml:math id="M12" display="block"><mml:mrow><mml:mi>T</mml:mi><mml:mfenced close=")" open="("><mml:mi>z</mml:mi></mml:mfenced><mml:mo>=</mml:mo><mml:msub><mml:mi>T</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>+</mml:mo><mml:mi mathvariant="normal">Γ</mml:mi><mml:mo>⋅</mml:mo><mml:mi>z</mml:mi><mml:mo>+</mml:mo><mml:msub><mml:mi>T</mml:mi><mml:mi mathvariant="normal">t</mml:mi></mml:msub><mml:mfenced open="(" close=")"><mml:mi>z</mml:mi></mml:mfenced><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          with <inline-formula><mml:math id="M13" display="inline"><mml:mrow><mml:mi mathvariant="normal">Γ</mml:mi><mml:mo>=</mml:mo><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:msub><mml:mi>q</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow><mml:mi mathvariant="italic">λ</mml:mi></mml:mfrac></mml:mstyle></mml:mrow></mml:math></inline-formula> the equilibrium subsurface thermal gradient. The term <inline-formula><mml:math id="M14" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>+</mml:mo><mml:mi mathvariant="normal">Γ</mml:mi><mml:mo>⋅</mml:mo><mml:mi>z</mml:mi></mml:mrow></mml:math></inline-formula> in Eq. (<xref ref-type="disp-formula" rid="Ch1.E2"/>) describes the quasi-equilibrium temperature profile and can be determined from the deepest part of a BTP – that is, the least affected part of the log by recent perturbations of the energy balance at the surface.</p>
      <p id="d1e528">The propagation of temperature variations in a one-dimensional, homogenous, isotropic medium without internal sources of heat is governed by the heat diffusion equation:
            <disp-formula id="Ch1.E3" content-type="numbered"><label>3</label><mml:math id="M15" display="block"><mml:mrow><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>T</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>=</mml:mo><mml:mi mathvariant="italic">κ</mml:mi><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msup><mml:mo>∂</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mi>T</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:msup><mml:mi>z</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          where <inline-formula><mml:math id="M16" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> is temperature, <inline-formula><mml:math id="M17" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> is time, <inline-formula><mml:math id="M18" display="inline"><mml:mi mathvariant="italic">κ</mml:mi></mml:math></inline-formula> is the thermal diffusivity of the medium, and <inline-formula><mml:math id="M19" display="inline"><mml:mi>z</mml:mi></mml:math></inline-formula> is the spatial dimension. An instantaneous change in surface temperature (<inline-formula><mml:math id="M20" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>T</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) is propagated through the ground as described in Eq. (<xref ref-type="disp-formula" rid="Ch1.E3"/>), altering the quasi-equilibrium temperature profile with time following <xref ref-type="bibr" rid="bib1.bibx16" id="paren.26"/>
            <disp-formula id="Ch1.E4" content-type="numbered"><label>4</label><mml:math id="M21" display="block"><mml:mrow><mml:mi>T</mml:mi><mml:mfenced open="(" close=")"><mml:mrow><mml:mi>z</mml:mi><mml:mo>,</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:mfenced><mml:mo>=</mml:mo><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>T</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>⋅</mml:mo><mml:mi mathvariant="normal">erfc</mml:mi><mml:mfenced close=")" open="("><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mi>z</mml:mi><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:msqrt><mml:mrow><mml:mi mathvariant="italic">κ</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msqrt></mml:mrow></mml:mfrac></mml:mstyle></mml:mfenced><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          where <inline-formula><mml:math id="M22" display="inline"><mml:mi mathvariant="normal">erfc</mml:mi></mml:math></inline-formula> is the complementary error function, and <inline-formula><mml:math id="M23" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> is time since the surface temperature change. A series of surface temperature perturbations will propagate through the ground as the superposition of transient variations of the long-term subsurface thermal regime:
            <disp-formula id="Ch1.E5" content-type="numbered"><label>5</label><mml:math id="M24" display="block"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mi mathvariant="normal">t</mml:mi></mml:msub><mml:mfenced open="(" close=")"><mml:mi>z</mml:mi></mml:mfenced><mml:mo>=</mml:mo><mml:munderover><mml:mo movablelimits="false">∑</mml:mo><mml:mrow><mml:mi>i</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow><mml:mi>N</mml:mi></mml:munderover><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>T</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mfenced open="[" close="]"><mml:mrow><mml:mi mathvariant="normal">erfc</mml:mi><mml:mfenced open="(" close=")"><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mi>z</mml:mi><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:msqrt><mml:mrow><mml:mi mathvariant="italic">κ</mml:mi><mml:msub><mml:mi>t</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow></mml:msqrt></mml:mrow></mml:mfrac></mml:mstyle></mml:mfenced><mml:mo>-</mml:mo><mml:mi mathvariant="normal">erfc</mml:mi><mml:mfenced close=")" open="("><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mi>z</mml:mi><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:msqrt><mml:mrow><mml:mi mathvariant="italic">κ</mml:mi><mml:msub><mml:mi>t</mml:mi><mml:mrow><mml:mi>i</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:msqrt></mml:mrow></mml:mfrac></mml:mstyle></mml:mfenced></mml:mrow></mml:mfenced><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          where <inline-formula><mml:math id="M25" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>T</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> represents changes in surface temperature at <inline-formula><mml:math id="M26" display="inline"><mml:mi>i</mml:mi></mml:math></inline-formula> time step. Equation (<xref ref-type="disp-formula" rid="Ch1.E5"/>) is also the solution of the forward problem: given an upper (surface) boundary condition, this equation describes the perturbation of the subsurface temperature profile in response to a temporal series of ground surface temperature changes <xref ref-type="bibr" rid="bib1.bibx54" id="paren.27"/>.</p>
</sec>
<sec id="Ch1.S2.SS2">
  <label>2.2</label><title>Subsurface flux profile</title>
      <?pagebreak page454?><p id="d1e797">Since the conductive heat flux (<inline-formula><mml:math id="M27" display="inline"><mml:mi>q</mml:mi></mml:math></inline-formula>) in an isotropic medium is related to the temperature gradient of the subsurface temperature profile by Fourier's equation,
            <disp-formula id="Ch1.E6" content-type="numbered"><label>6</label><mml:math id="M28" display="block"><mml:mrow><mml:mi>q</mml:mi><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mi mathvariant="italic">λ</mml:mi><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>T</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>z</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          the propagation of heat flux through a one-dimensional, homogenous medium without internal sources of heat satisfies
            <disp-formula id="Ch1.E7" content-type="numbered"><label>7</label><mml:math id="M29" display="block"><mml:mrow><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>q</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>=</mml:mo><mml:mi mathvariant="italic">κ</mml:mi><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msup><mml:mo>∂</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mi>q</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:msup><mml:mi>z</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>.</mml:mo></mml:mrow></mml:math></disp-formula>
          That is, the propagation of both temperature and heat flux through the ground is governed by the diffusion equation <xref ref-type="bibr" rid="bib1.bibx16 bib1.bibx93" id="paren.28"/>. As in the case of temperature profiles, the heat flux profile can be expressed as
            <disp-formula id="Ch1.E8" content-type="numbered"><label>8</label><mml:math id="M30" display="block"><mml:mrow><mml:mi>q</mml:mi><mml:mfenced close=")" open="("><mml:mi>z</mml:mi></mml:mfenced><mml:mo>=</mml:mo><mml:msub><mml:mi>q</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>+</mml:mo><mml:msub><mml:mi>q</mml:mi><mml:mi>t</mml:mi></mml:msub><mml:mfenced close=")" open="("><mml:mi>z</mml:mi></mml:mfenced><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          where <inline-formula><mml:math id="M31" display="inline"><mml:mrow><mml:msub><mml:mi>q</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> is the equilibrium geothermal flux from the Earth's interior. Therefore, alterations in the subsurface equilibrium flux profile due to an instantaneous perturbation of the long-term surface flux (<inline-formula><mml:math id="M32" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>q</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) can be expressed as
            <disp-formula id="Ch1.E9" content-type="numbered"><label>9</label><mml:math id="M33" display="block"><mml:mrow><mml:mi>q</mml:mi><mml:mfenced close=")" open="("><mml:mrow><mml:mi>z</mml:mi><mml:mo>,</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:mfenced><mml:mo>=</mml:mo><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>q</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>⋅</mml:mo><mml:mi mathvariant="normal">erfc</mml:mi><mml:mfenced close=")" open="("><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mi>z</mml:mi><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:msqrt><mml:mrow><mml:mi mathvariant="italic">κ</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msqrt></mml:mrow></mml:mfrac></mml:mstyle></mml:mfenced><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          where <inline-formula><mml:math id="M34" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> is time since the perturbation. A series of perturbations of the surface flux generates a superposition of transient variations of the long-term subsurface thermal gradient as
            <disp-formula id="Ch1.E10" content-type="numbered"><label>10</label><mml:math id="M35" display="block"><mml:mrow><mml:msub><mml:mi>q</mml:mi><mml:mi>t</mml:mi></mml:msub><mml:mfenced close=")" open="("><mml:mi>z</mml:mi></mml:mfenced><mml:mo>=</mml:mo><mml:munderover><mml:mo movablelimits="false">∑</mml:mo><mml:mrow><mml:mi>i</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow><mml:mi>N</mml:mi></mml:munderover><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>q</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mfenced close="]" open="["><mml:mrow><mml:mi mathvariant="normal">erfc</mml:mi><mml:mfenced close=")" open="("><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mi>z</mml:mi><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:msqrt><mml:mrow><mml:mi mathvariant="italic">κ</mml:mi><mml:msub><mml:mi>t</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow></mml:msqrt></mml:mrow></mml:mfrac></mml:mstyle></mml:mfenced><mml:mo>-</mml:mo><mml:mi mathvariant="normal">erfc</mml:mi><mml:mfenced close=")" open="("><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mi>z</mml:mi><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:msqrt><mml:mrow><mml:mi mathvariant="italic">κ</mml:mi><mml:msub><mml:mi>t</mml:mi><mml:mrow><mml:mi>i</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:msqrt></mml:mrow></mml:mfrac></mml:mstyle></mml:mfenced></mml:mrow></mml:mfenced><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          mirroring the forward model for surface temperature variations described in Eq. (<xref ref-type="disp-formula" rid="Ch1.E5"/>) and representing the solution of the forward problem for variations in surface heat flux <xref ref-type="bibr" rid="bib1.bibx3 bib1.bibx9" id="paren.29"/>.</p>
</sec>
<sec id="Ch1.S2.SS3">
  <label>2.3</label><title>Inversion problem</title>
      <p id="d1e1085">The inversion problem consists of retrieving the past ground surface temperature histories that generated the observed temperature perturbation profiles or the ground heat flux histories that generated the heat flux anomaly profiles. A system of equations can be derived by combining Eqs. (<xref ref-type="disp-formula" rid="Ch1.E2"/>) and (<xref ref-type="disp-formula" rid="Ch1.E5"/>) for the temperature case and Eqs. (<xref ref-type="disp-formula" rid="Ch1.E8"/>) and (<xref ref-type="disp-formula" rid="Ch1.E10"/>) for the heat flux case, with the solution of such systems yielding an estimate of the past long-term evolution of surface temperature and surface heat flux, respectively <xref ref-type="bibr" rid="bib1.bibx95 bib1.bibx7 bib1.bibx62 bib1.bibx85 bib1.bibx3 bib1.bibx39" id="paren.30"/>. The system can be expressed as a matrix equation of the form
            <disp-formula id="Ch1.E11" content-type="numbered"><label>11</label><mml:math id="M36" display="block"><mml:mrow><mml:msub><mml:mi mathvariant="bold-italic">T</mml:mi><mml:mi mathvariant="normal">obs</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mi mathvariant="bold">M</mml:mi><mml:msub><mml:mi mathvariant="bold-italic">T</mml:mi><mml:mi mathvariant="normal">model</mml:mi></mml:msub><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          where <inline-formula><mml:math id="M37" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="bold-italic">T</mml:mi><mml:mi mathvariant="normal">obs</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is the data vector (anomaly temperature profile of heat flux profile), <inline-formula><mml:math id="M38" display="inline"><mml:mi mathvariant="bold">M</mml:mi></mml:math></inline-formula> is the matrix containing the coefficients of the system, and <inline-formula><mml:math id="M39" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="bold-italic">T</mml:mi><mml:mi mathvariant="normal">model</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is a vector containing the step change model to be determined. The elements of <inline-formula><mml:math id="M40" display="inline"><mml:mi mathvariant="bold">M</mml:mi></mml:math></inline-formula> are defined from the forward model for temperature (Eq. <xref ref-type="disp-formula" rid="Ch1.E5"/>),
            <disp-formula id="Ch1.E12" content-type="numbered"><label>12</label><mml:math id="M41" display="block"><mml:mrow><mml:msub><mml:mi>M</mml:mi><mml:mrow><mml:mi>i</mml:mi><mml:mo>,</mml:mo><mml:mi>j</mml:mi></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mi mathvariant="normal">erfc</mml:mi><mml:mfenced close=")" open="("><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msub><mml:mi>z</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:msqrt><mml:mrow><mml:mi mathvariant="italic">κ</mml:mi><mml:msub><mml:mi>t</mml:mi><mml:mi>j</mml:mi></mml:msub></mml:mrow></mml:msqrt></mml:mrow></mml:mfrac></mml:mstyle></mml:mfenced><mml:mo>-</mml:mo><mml:mi mathvariant="normal">erfc</mml:mi><mml:mfenced open="(" close=")"><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msub><mml:mi>z</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:msqrt><mml:mrow><mml:mi mathvariant="italic">κ</mml:mi><mml:msub><mml:mi>t</mml:mi><mml:mrow><mml:mi>j</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:msqrt></mml:mrow></mml:mfrac></mml:mstyle></mml:mfenced><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          and a similar system can be written in terms of heat flux using Eq. (<xref ref-type="disp-formula" rid="Ch1.E10"/>). The rank of the system is given by the number of time steps in the proposed inversion model (<inline-formula><mml:math id="M42" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi>t</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) and is generally smaller than the number of measurements in the profile (<inline-formula><mml:math id="M43" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi>z</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>). That is, there are more equations than parameters in the system; thus, both the temperature and heat flux systems are overdetermined. Therefore, these systems are solved using a singular value decomposition algorithm <xref ref-type="bibr" rid="bib1.bibx51" id="paren.31"/> such as the one described in <xref ref-type="bibr" rid="bib1.bibx62" id="text.32"/> and <xref ref-type="bibr" rid="bib1.bibx22" id="text.33"/>. This SVD algorithm decomposes the matrix of coefficients as
            <disp-formula id="Ch1.E13" content-type="numbered"><label>13</label><mml:math id="M44" display="block"><mml:mrow><mml:mi mathvariant="bold">M</mml:mi><mml:mo>=</mml:mo><mml:msup><mml:mi mathvariant="bold">USV</mml:mi><mml:mi>T</mml:mi></mml:msup><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          with <inline-formula><mml:math id="M45" display="inline"><mml:mi mathvariant="bold">U</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M46" display="inline"><mml:mi mathvariant="bold">V</mml:mi></mml:math></inline-formula> orthonormal matrices of dimension <inline-formula><mml:math id="M47" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi>z</mml:mi></mml:msub><mml:mo>×</mml:mo><mml:msub><mml:mi>N</mml:mi><mml:mi>z</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M48" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi>t</mml:mi></mml:msub><mml:mo>×</mml:mo><mml:msub><mml:mi>N</mml:mi><mml:mi>t</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, respectively, and <inline-formula><mml:math id="M49" display="inline"><mml:mi mathvariant="bold">S</mml:mi></mml:math></inline-formula> a rectangular matrix (<inline-formula><mml:math id="M50" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi>z</mml:mi></mml:msub><mml:mo>×</mml:mo><mml:msub><mml:mi>N</mml:mi><mml:mi>t</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) containing the eigenvalues <inline-formula><mml:math id="M51" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">α</mml:mi><mml:mi>j</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> in the diagonal. Therefore, the general solution can be expressed as
            <disp-formula id="Ch1.E14" content-type="numbered"><label>14</label><mml:math id="M52" display="block"><mml:mrow><mml:msub><mml:mi mathvariant="bold-italic">T</mml:mi><mml:mi mathvariant="normal">model</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:msup><mml:mi mathvariant="bold">M</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:msub><mml:mi mathvariant="bold-italic">T</mml:mi><mml:mi mathvariant="normal">obs</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:msup><mml:mi mathvariant="bold">VS</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:msup><mml:mi mathvariant="bold">U</mml:mi><mml:mi>T</mml:mi></mml:msup><mml:msub><mml:mi mathvariant="bold-italic">T</mml:mi><mml:mi mathvariant="normal">obs</mml:mi></mml:msub><mml:mo>.</mml:mo></mml:mrow></mml:math></disp-formula>
          However, the solution of Eq. (<xref ref-type="disp-formula" rid="Ch1.E14"/>) is dominated by noise from small eigenvalues, as the only nonzero elements of <inline-formula><mml:math id="M53" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="bold">S</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> are the inverse of the eigenvalues in the diagonal of the matrix <xref ref-type="bibr" rid="bib1.bibx62" id="paren.34"/>. Accordingly, small eigenvalues need to be removed from <inline-formula><mml:math id="M54" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="bold">S</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (i.e., replaced by zeros) for stabilizing the solution but at the cost of losing the temporal resolution in the model.</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Analysis</title>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>Borehole data</title>
      <p id="d1e1470">Borehole temperature profiles (BTPs) were collected from four databases. The National Oceanic and Atmospheric Administration (NOAA) server <xref ref-type="bibr" rid="bib1.bibx69" id="paren.35"/> contains global data; the database presented in <xref ref-type="bibr" rid="bib1.bibx46" id="text.36"/> includes data for North America; logs from Tasmania were retrieved from <xref ref-type="bibr" rid="bib1.bibx90" id="text.37"/>, and measurements from Chile were obtained from <xref ref-type="bibr" rid="bib1.bibx75" id="text.38"/>. Profiles from all databases were screened to avoid repetitions, resulting in 1266 independent logs in total.</p>
      <p id="d1e1485">Nonetheless, not all these BTPs are employed in the analysis. A process for selecting suitable logs is applied based on trimming the maximum depth of the available BTPs and requiring a certain number of measurements at critical depth ranges. Three profiles containing fewer than three measurements between 200 and 300 m were discarded, since it was impossible to perform a linear regression analysis to determine the quasi-equilibrium profile (see Sect. <xref ref-type="sec" rid="Ch1.S3.SS3"/> below). All remaining logs were truncated from 15 to 300 m of depth. Thereby, we ensure that the profiles include information from the logging year to several centuries back in time and cover the same time span, since the relationship between time (<inline-formula><mml:math id="M55" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula>) required for a change in the surface energy balance to reach a certain depth (<inline-formula><mml:math id="M56" display="inline"><mml:mi>z</mml:mi></mml:math></inline-formula>) can be approximated as <xref ref-type="bibr" rid="bib1.bibx16 bib1.bibx74 bib1.bibx25" id="paren.39"/>
            <disp-formula id="Ch1.E15" content-type="numbered"><label>15</label><mml:math id="M57" display="block"><mml:mrow><mml:mi>t</mml:mi><mml:mo>≈</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msup><mml:mi>z</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow><mml:mrow><mml:mn mathvariant="normal">4</mml:mn><mml:mi mathvariant="italic">κ</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          Furthermore, at least a temperature measurement between 15 and 100 m is required, since this depth range approximately corresponds to a temporal period of 50 years before the logging date, depending on the considered diffusivity, <inline-formula><mml:math id="M58" display="inline"><mml:mi mathvariant="italic">κ</mml:mi></mml:math></inline-formula>, in Eq. (<xref ref-type="disp-formula" rid="Ch1.E15"/>). This period is the largest step change used to retrieve surface histories in this analysis (Sect. <xref ref-type="sec" rid="Ch1.S3.SS3"/>); thus, it is highly desirable to obtain a measurement in this depth range. Following the same reasoning, another temperature measurement between 250 and 310 m is requested in order to ensure that the inversions include information for approximately 4 centuries before the logging date (Eq. <xref ref-type="disp-formula" rid="Ch1.E15"/>). As a result of applying these two criteria to the global network of borehole measurements, 184 logs were excluded from the analysis, with 1079 BTPs deemed suitable for our analysis. The quality-controlled database containing
the selected boreholes used in this study can be found in <xref ref-type="bibr" rid="bib1.bibx26" id="text.40"/>.</p>
      <?pagebreak page455?><p id="d1e1549">The depth filtering explained above constitutes the main methodological difference in comparison with previous borehole studies <xref ref-type="bibr" rid="bib1.bibx8 bib1.bibx4" id="paren.41"><named-content content-type="pre">including</named-content></xref>, since those assessments analyzed all available logs independently of their depth range, thus mixing temporal references. However, recent works have shown that using subsurface profiles with different depths affects the estimated ground surface temperature histories <xref ref-type="bibr" rid="bib1.bibx34 bib1.bibx11 bib1.bibx67" id="paren.42"/>. This issue is avoided here by the selection criteria applied to the assembled BTP database. Additionally, BTPs were measured at different dates, but the logging year of the profiles was taken intro account only in a small number of works <xref ref-type="bibr" rid="bib1.bibx34 bib1.bibx46 bib1.bibx67" id="paren.43"><named-content content-type="pre">e.g.,</named-content></xref>. We aggregate the retrieved ground surface temperature histories and ground heat flux histories from BTPs considering the logging date of each borehole profile (Fig. <xref ref-type="fig" rid="Ch1.F1"/>); thus, the number of borehole inversions available for analysis varies with time.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><?xmltex \currentcnt{1}?><?xmltex \def\figurename{Figure}?><label>Figure 1</label><caption><p id="d1e1570">Logging years of the 1079 boreholes considered in the analysis. </p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://cp.copernicus.org/articles/17/451/2021/cp-17-451-2021-f01.png"/>

        </fig>

</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Surface air temperature data</title>
      <p id="d1e1587">Meteorological measurements of surface air temperature (SAT) from the Climate Research Unit (CRU) at the University of East Anglia (named SAT_CRU hereinafter) are also used in this study to compare with borehole estimates. Mean global SAT anomalies relative to 1961–1990 Common Era (CE) from the CRU TS 4.01 product <xref ref-type="bibr" rid="bib1.bibx36" id="paren.44"/> are employed to compare with ground surface temperature histories retrieved from borehole profiles. Results for the entire CRU spatial and temporal domains are provided from 1901 to 2016 CE, and results considering only locations and dates containing borehole inversions.</p>
</sec>
<sec id="Ch1.S3.SS3">
  <label>3.3</label><title>Inversion of borehole profiles</title>
<sec id="Ch1.S3.SS3.SSS1">
  <label>3.3.1</label><title>Standard inversions</title>
      <p id="d1e1608">We invert the same truncated BTPs to obtain ground surface temperature histories considering the uncertainty from the determination of the equilibrium profile as a reference to compare with the uncertainty estimates of recent works using the same SVD algorithm  <xref ref-type="bibr" rid="bib1.bibx10 bib1.bibx46 bib1.bibx74 bib1.bibx75" id="paren.45"/>. In this case, all logs are inverted considering a model based on a thermal conductivity of 3 W m<inline-formula><mml:math id="M59" 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> K<inline-formula><mml:math id="M60" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, a volumetric heat capacity of <inline-formula><mml:math id="M61" display="inline"><mml:mrow><mml:mn mathvariant="normal">3</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> J m<inline-formula><mml:math id="M62" 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> K<inline-formula><mml:math id="M63" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, and thus a thermal diffusion of <inline-formula><mml:math id="M64" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M65" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M66" 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 same SVD algorithm used in <xref ref-type="bibr" rid="bib1.bibx4" id="text.46"/> and <xref ref-type="bibr" rid="bib1.bibx8" id="text.47"/> is applied to generate the ground surface temperature histories for three step change models, since there is no preferential inversion model. All BTPs are inverted using models based on step changes of 25, 40, and 50 years to reconstruct the surface signal for 400 years before the logging date of the profile (i.e., inversion models of 16, 10, and 8 time steps, respectively), with all inversions including the four highest eigenvalues. We regard these as the GST_Standard ensemble that will serve as a reference for the methods described in Sect. <xref ref-type="sec" rid="Ch1.S3.SS3.SSS2"/>.</p>
      <p id="d1e1726">The equilibrium temperature profile is estimated in order to obtain the anomaly profile that is inverted by the SVD algorithm. The equilibrium profile is estimated from the deepest part of each truncated BTP, since that is the zone least affected by the recent climate change signal (grey zone in Fig. <xref ref-type="fig" rid="Ch1.F2"/>a). A linear regression analysis of the lowermost 100 m of each profile (from 200 to 300 m of depth in our analysis; straight lines in Fig. <xref ref-type="fig" rid="Ch1.F2"/>a) is performed to estimate the values determining the quasi-equilibrium temperature profile: that is, the long-term surface temperature (<inline-formula><mml:math id="M67" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) and the equilibrium geothermal gradient (<inline-formula><mml:math id="M68" display="inline"><mml:mi mathvariant="normal">Γ</mml:mi></mml:math></inline-formula>). We use the last hundred meters and not a longer depth range to reach a balance between the characterization of noise and retrieving as much climatic information as possible from each log <xref ref-type="bibr" rid="bib1.bibx10" id="paren.48"/>. The anomaly profile is then retrieved by subtracting the quasi-equilibrium temperature profile from the measured log (black dots in Fig. <xref ref-type="fig" rid="Ch1.F2"/>b). Additionally, the errors in the slope (<inline-formula><mml:math id="M69" display="inline"><mml:mi mathvariant="normal">Γ</mml:mi></mml:math></inline-formula>) and intercept (<inline-formula><mml:math id="M70" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) allow us to obtain two extremal temperature anomaly profiles (red and blue dots in Fig. <xref ref-type="fig" rid="Ch1.F2"/>b). The inversion of these additional anomaly profiles is considered to be the error in the retrieved ground surface temperature histories from each borehole. We do not invert the heat flux profiles using this approach but provide surface flux estimates from the retrieved surface temperature histories to compare with <xref ref-type="bibr" rid="bib1.bibx4" id="text.49"/> and <xref ref-type="bibr" rid="bib1.bibx8" id="text.50"/> (see Sect. <xref ref-type="sec" rid="Ch1.S3.SS4"/> for details).</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F2" specific-use="star"><?xmltex \currentcnt{2}?><?xmltex \def\figurename{Figure}?><label>Figure 2</label><caption><p id="d1e1788">Borehole temperature profile measurements at Fox Mine (CA_9519), Manitoba (Canada), as an example to explain the inversion approaches in this study. <bold>(a)</bold> Observed original profile (black dots), the estimated subsurface quasi-equilibrium temperature profile (black line), and the two extremal temperature profiles (red and blue lines) displaying the error in determining the quasi-equilibrium profile. All three equilibrium profiles were estimated from the linear regression analysis of the deepest part of the measured profile (from 200 to 300 m, grey zone). <bold>(b)</bold> Anomaly profiles estimated by subtracting the three equilibrium profiles from the original temperature profile. <bold>(c)</bold> As in <bold>(b)</bold>, but including the 243 synthetic profiles generated from the corresponding ground surface temperature histories constituting the PPI ensemble of this borehole (red, blue and black shades). <bold>(d)</bold> Final ensemble of ground surface temperature histories considered for estimating the 5th, 50th, and 95th weighted percentiles for this borehole. Each history is weighted depending on its performance against the corresponding anomaly profile <bold>(c)</bold>. </p></caption>
            <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://cp.copernicus.org/articles/17/451/2021/cp-17-451-2021-f02.png"/>

          </fig>

</sec>
<sec id="Ch1.S3.SS3.SSS2">
  <label>3.3.2</label><title>Perturbed parameter inversions of temperature profiles</title>
      <p id="d1e1824">Although the inversion approach used in previous studies was successful in retrieving the past long-term evolution of ground surface temperatures and ground heat fluxes at BTP locations, several sources of uncertainty remained unaddressed. Here, we use a new approach based on generating an ensemble of inversions using the SVD algorithm described in <xref ref-type="bibr" rid="bib1.bibx62" id="text.51"/> for each borehole profile to account for as many sources of uncertainty as possible. The ensemble contains inversions retrieved by considering a range of values for the thermal properties, a different number of eigenvalues in the SVD algorithm, and the inversions of the two additional anomaly profiles generated from the estimate of the quasi-equilibrium temperature profile. Thereby, three sources of uncertainty are considered in the analysis, expanding the methodology of previous studies based on BTP inversions performed with the same SVD algorithm <xref ref-type="bibr" rid="bib1.bibx10 bib1.bibx46 bib1.bibx74 bib1.bibx75" id="paren.52"/>. Additionally, all BTPs are inverted using the three different inversion models used in the standard approach. We name this new approach the perturbed parameter inversion (PPI hereinafter) due to the similarities to the generation of perturbed parameter ensembles in climate modeling <xref ref-type="bibr" rid="bib1.bibx23" id="paren.53"><named-content content-type="pre">e.g.,</named-content></xref>.</p>
      <?pagebreak page456?><p id="d1e1838">The PPI approach considers the three anomaly profiles estimated from the uncertainty in determining the subsurface equilibrium profile as in the standard approach <xref ref-type="bibr" rid="bib1.bibx46" id="paren.54"><named-content content-type="pre">e.g.,</named-content><named-content content-type="post">and the section above</named-content></xref>. Each of the these anomaly profiles is inverted using different values of thermal conductivity (<inline-formula><mml:math id="M71" display="inline"><mml:mi mathvariant="italic">λ</mml:mi></mml:math></inline-formula>) and volumetric heat capacity (<inline-formula><mml:math id="M72" display="inline"><mml:mrow><mml:mi mathvariant="italic">ρ</mml:mi><mml:mi>C</mml:mi></mml:mrow></mml:math></inline-formula>). The values of thermal conductivity considered in this analysis are 2.5, 3, and 3.5 W m<inline-formula><mml:math id="M73" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> K<inline-formula><mml:math id="M74" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, while the values for volumetric heat capacity are 2.5, 3, and <inline-formula><mml:math id="M75" 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> J m<inline-formula><mml:math id="M76" 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> K<inline-formula><mml:math id="M77" 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 includes the typical values of 3 W m<inline-formula><mml:math id="M78" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> K<inline-formula><mml:math id="M79" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> and <inline-formula><mml:math id="M80" display="inline"><mml:mrow><mml:mn mathvariant="normal">3</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> J m<inline-formula><mml:math id="M81" 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> K<inline-formula><mml:math id="M82" 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 conductivity and heat capacity, respectively, as well as two extremal cases to account for plausible variations of thermal properties. The combination of each pair of conductivities and heat capacities yields a series of nine values for thermal diffusivity ranging between 0.7 and <inline-formula><mml:math id="M83" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.4</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M84" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M85" 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>. Additionally, estimates obtained for the three inversion models use different numbers of eigenvalues to retrieve the surface signal, corresponding to the sensitivity of the SVD algorithm to small eigenvalues and to the length of each time step in the inversion model <xref ref-type="bibr" rid="bib1.bibx39 bib1.bibx67" id="paren.55"/>. Thus, inversions based on the 25-year step change model use the highest three, four, and five eigenvalues, inversions based on the 40-year step change model use the highest two, three, and four eigenvalues, and inversions based on the 50-year step change model use the highest two, three, and four eigenvalues.</p>
      <p id="d1e2035">Therefore, the PPI ensemble generated from each original borehole temperature profile consists of 243 different surface temperature inversions. All these inversions are then propagated using a purely conductive forward model in order to obtain synthetic BTPs as described in Eq. (<xref ref-type="disp-formula" rid="Ch1.E5"/>), which are compared with the original anomaly profiles (Fig. <xref ref-type="fig" rid="Ch1.F2"/>c). This allows us to evaluate the performance of the different parameter variants in the inversion and to attribute relative weights to them. Root mean squared errors (RMSEs) between the anomaly profiles and the synthetic profiles generated from the inversions are computed to assign a weight to each inversion following a Gaussian function as in <xref ref-type="bibr" rid="bib1.bibx48" id="text.56"/>:
              <disp-formula id="Ch1.E16" content-type="numbered"><label>16</label><mml:math id="M86" display="block"><mml:mrow><mml:msub><mml:mi>w</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mi>exp⁡</mml:mi><mml:mfenced close="}" open="{"><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mo>-</mml:mo><mml:msubsup><mml:mi mathvariant="normal">RMSE</mml:mi><mml:mi>i</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msubsup></mml:mrow><mml:mrow><mml:msup><mml:mi mathvariant="italic">σ</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:mfrac></mml:mstyle></mml:mfenced><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
            where <inline-formula><mml:math id="M87" display="inline"><mml:mrow><mml:msub><mml:mi>w</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is the weight associated with the <inline-formula><mml:math id="M88" display="inline"><mml:mi>i</mml:mi></mml:math></inline-formula>th inversion, and <inline-formula><mml:math id="M89" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula> is a parameter determining which RMSEs are deemed large and which are deemed small. We select the typical error in BTP measurements (<inline-formula><mml:math id="M90" display="inline"><mml:mrow><mml:mi mathvariant="italic">σ</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">50</mml:mn></mml:mrow></mml:math></inline-formula> mK) as a criterion to assess how each inversion should be weighted: that is, to evaluate which RMSEs are large and which are small.</p>
      <?pagebreak page458?><p id="d1e2119">Thus, each inversion is classified according to the realism of its associated synthetic anomaly profile. Nevertheless, unrealistic solutions may arise as a result of the broad range of parameters and inversion models considered, even after weighting each inversion. Hence, we introduce a new additional criterion to assess all 243 inversions per BTP based on the variability of surface air temperature measurements as a guide. A temperature change in an inverted ground surface temperature history is considered unrealistic if it is larger than the maximum change obtained from the histogram of temperature variations between consecutive time steps from the SAT_CRU data. This histogram is created by aggregating temperature changes between consecutive time steps after averaging the original temperature series at each grid cell in temporal windows of 25 years (i.e., running means of 25 years; Fig. S1). The averaging of the original temperature series is necessary to remove high-frequency variability that is not present in ground surface temperature histories from BTP inversions. That is, a ground surface temperature history is deemed unrealistic and removed from the analysis if the temperature change between at least one pair of consecutive time steps is larger than 2.57 K for the three inversion models. The 5th, 50th, and 95th weighted percentiles are eventually estimated from the ensemble of remaining inversions (Fig. <xref ref-type="fig" rid="Ch1.F2"/>d) for each borehole profile. The ensemble containing the weighted percentiles from ground surface temperature histories from all BTPs is called the GST_PPIT ensemble hereinafter.</p>
</sec>
<sec id="Ch1.S3.SS3.SSS3">
  <label>3.3.3</label><title>Perturbed parameter inversions of heat flux profiles</title>
      <p id="d1e2132">The same approach is applied to the corresponding heat flux profiles to retrieve ground heat flux histories from borehole data. The heat flux profiles are generated from the three estimated temperature anomaly profiles for each measured log using Fourier's equation (Eq. <xref ref-type="disp-formula" rid="Ch1.E6"/>) as
              <disp-formula id="Ch1.E17" content-type="numbered"><label>17</label><mml:math id="M91" display="block"><mml:mrow><mml:msub><mml:mi>q</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mi mathvariant="italic">λ</mml:mi><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mrow><mml:mi>i</mml:mi><mml:mo>+</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msub><mml:mo>-</mml:mo><mml:mi>T</mml:mi><mml:mi>i</mml:mi></mml:mrow><mml:mrow><mml:msub><mml:mi>z</mml:mi><mml:mrow><mml:mi>i</mml:mi><mml:mo>+</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msub><mml:mo>-</mml:mo><mml:msub><mml:mi>z</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>.</mml:mo></mml:mrow></mml:math></disp-formula>
            Those profiles are then inverted using the PPI approach described above. That is, an ensemble of inversions is generated using the same SVD algorithm, the same range of thermal properties,  and the same number of eigenvalues as for the GST_PPIT ensemble in Sect. <xref ref-type="sec" rid="Ch1.S3.SS3.SSS2"/>. Thus, the thermal conductivity for estimating the heat flux profile (<inline-formula><mml:math id="M92" display="inline"><mml:mi mathvariant="italic">λ</mml:mi></mml:math></inline-formula> in Eq. <xref ref-type="disp-formula" rid="Ch1.E17"/>) is set to match the values used for each perturbed parameter inversion. Thereby, we obtain 243 heat flux histories for each original log, which are compared to the corresponding flux anomaly profile (using Eq. <xref ref-type="disp-formula" rid="Ch1.E10"/>) and weighted as in the case of temperature histories (Eq. <xref ref-type="disp-formula" rid="Ch1.E16"/>). Changes in ground heat flux histories are compared to the histogram created by aggregating heat flux changes estimated from the CRU temperature data and Eq. (<xref ref-type="disp-formula" rid="Ch1.E18"/>) (GHF_CRU hereinafter) in order to discard unrealistic heat flux histories. As in the case of temperature changes, heat flux changes between consecutive time steps are aggregated after averaging the original heat flux series from each grid cell over temporal windows of 25 years (Fig. S1). Surface heat flux histories are deemed unrealistic if the difference between at least one pair of consecutive time steps is larger than 0.51 W m<inline-formula><mml:math id="M93" 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 the three inversion models. The ensemble containing the 5th, 50th, and 95th weighted percentiles from ground heat flux histories from all BTPs is called the GHF_PPIF ensemble hereinafter.</p>
      <p id="d1e2223">Estimates from temperature profiles and from heat flux profiles using the PPI and standard approaches need to include inversions from the same number of BTPs to obtain the same geographical representation of surface temperature and heat flux changes. This requirement reduces the number of boreholes considered in the analysis to 1060, 1072, and 1074 for the 25-, 40-, and 50-year inversion models, respectively, since not all BTPs provide ground surface temperature histories and ground heat flux histories complying with all criteria explained in Sect. <xref ref-type="sec" rid="Ch1.S3.SS3.SSS2"/> and <xref ref-type="sec" rid="Ch1.S3.SS3.SSS3"/>, respectively.</p><?xmltex \hack{\newpage}?>
</sec>
</sec>
<sec id="Ch1.S3.SS4">
  <label>3.4</label><title>Flux estimates from surface temperatures</title>
      <p id="d1e2240">The relationship between surface flux (<inline-formula><mml:math id="M94" display="inline"><mml:mi>q</mml:mi></mml:math></inline-formula>) and a temporal series of surface temperatures can be expressed as <xref ref-type="bibr" rid="bib1.bibx99 bib1.bibx3" id="paren.57"/>
            <disp-formula id="Ch1.E18" content-type="numbered"><label>18</label><mml:math id="M95" display="block"><mml:mtable columnspacing="1em" class="split" rowspacing="0.2ex" displaystyle="true" columnalign="right left"><mml:mtr><mml:mtd><mml:mrow><mml:msub><mml:mi>q</mml:mi><mml:mrow><mml:msub><mml:mi>t</mml:mi><mml:mi>N</mml:mi></mml:msub></mml:mrow></mml:msub></mml:mrow></mml:mtd><mml:mtd><mml:mrow><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mi mathvariant="italic">λ</mml:mi></mml:mrow><mml:msqrt><mml:mrow><mml:mi mathvariant="italic">π</mml:mi><mml:mi mathvariant="italic">κ</mml:mi><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msqrt></mml:mfrac></mml:mstyle><mml:munderover><mml:mo movablelimits="false">∑</mml:mo><mml:mrow><mml:mi>i</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow><mml:mrow><mml:mi>N</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:munderover><mml:mo mathsize="2.0em" mathvariant="italic">{</mml:mo><mml:mfenced open="(" close=")"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mo>-</mml:mo><mml:msub><mml:mi>T</mml:mi><mml:mrow><mml:mi>i</mml:mi><mml:mo>+</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:mfenced></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd/><mml:mtd><mml:mrow><mml:mfenced open="(" close=")"><mml:mrow><mml:msqrt><mml:mrow><mml:mi>N</mml:mi><mml:mo>-</mml:mo><mml:mi>i</mml:mi></mml:mrow></mml:msqrt><mml:mo>-</mml:mo><mml:msqrt><mml:mrow><mml:mi>N</mml:mi><mml:mo>-</mml:mo><mml:mi>i</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msqrt></mml:mrow></mml:mfenced><mml:mo mathsize="2.0em" mathvariant="italic">}</mml:mo><mml:mo>,</mml:mo></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
          where <inline-formula><mml:math id="M96" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:math></inline-formula> is the length of the time steps and <inline-formula><mml:math id="M97" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is surface temperature at the <inline-formula><mml:math id="M98" display="inline"><mml:mi>i</mml:mi></mml:math></inline-formula>th time step. We estimate ground heat flux histories at the surface from ground surface temperature histories retrieved from both the standard (GHF_Standard ensemble) and PPI approaches (GHF_PPIT ensemble). Thermal properties for estimating heat fluxes from ground surface temperature histories obtained with the standard inversion approach are set to <inline-formula><mml:math id="M99" display="inline"><mml:mrow><mml:mi mathvariant="italic">λ</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula> W m<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> K<inline-formula><mml:math id="M101" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> and <inline-formula><mml:math id="M102" display="inline"><mml:mrow><mml:mi mathvariant="italic">κ</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></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> s<inline-formula><mml:math id="M104" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, while thermal properties for estimating heat fluxes from ground surface temperature histories included in the GST_PPIT ensemble are set as those associated with the corresponding individual ground surface temperature history. Heat flux estimates are also provided using Eq. (<xref ref-type="disp-formula" rid="Ch1.E18"/>) and SAT_CRU temperature data (GHF_CRU ensemble mentioned in Sect. <xref ref-type="sec" rid="Ch1.S3.SS3.SSS3"/>) in order to create the histogram of heat flux changes displayed in Fig. S1, considering the same thermal properties as in heat flux estimates from ground surface temperature histories retrieved by the standard approach.</p>
</sec>
</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Results</title>
      <p id="d1e2484">Ground surface temperature histories estimated using a 25-year inversion model, together with the standard approach and the new GST_PPIT ensemble, show temperature increases that are particularly large during the second half of the 20th century in comparison with preindustrial conditions (Fig. <xref ref-type="fig" rid="Ch1.F3"/>a). This is in agreement with meteorological observations of surface air temperatures (red and orange lines in the mentioned figure) and with previous studies using both borehole temperature profiles and proxy data <xref ref-type="bibr" rid="bib1.bibx77 bib1.bibx43 bib1.bibx4 bib1.bibx76 bib1.bibx30 bib1.bibx63" id="paren.58"/>. Both approaches used to retrieve ground surface temperature histories from temperature profiles display remarkable agreement during the whole period and similar temperature changes as those shown by SAT_CRU temperatures for the observational period. Global mean temperature changes between 1950–1975 and 1975–2000 CE reach 0.3 K for the GST_PPIT ensemble and 0.4 K for the GST_Standard ensemble (Table <xref ref-type="table" rid="Ch1.T1"/>), with mean temperature changes from SAT_CRU data of approximately 0.4 K using both the entire dataset and the locations and dates containing BTP inversions.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><?xmltex \currentcnt{3}?><?xmltex \def\figurename{Figure}?><label>Figure 3</label><caption><p id="d1e2496">Global ground surface temperature histories <bold>(a)</bold> and global ground heat flux histories at the surface <bold>(b)</bold> from borehole temperature profiles using the standard approach (black) and the new PPI approach applied to temperature profiles (PPIT, blue) and the corresponding heat flux profiles (PPIF, light blue). All inversions were performed using a 25-year step change model. <bold>(c)</bold> Percentage of total borehole inversions with time. Surface air temperature anomalies relative to 1961–1990 CE from CRU data (SAT_CRU) are also displayed, including results from the entire database (red) and results from locations and dates containing borehole inversions (orange). The CRU series have been adjusted to have the same mean as the results of the GST_Standard ensemble for the period 1950–1970 CE. </p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://cp.copernicus.org/articles/17/451/2021/cp-17-451-2021-f03.png"/>

      </fig>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><?xmltex \currentcnt{1}?><?xmltex \def\figurename{Table}?><label>Table 1</label><caption><p id="d1e2517">Global mean estimates of ground surface temperature (GST), ground heat flux at the surface (GHF), and ground heat content within the continental subsurface (GHC) from borehole temperature profiles. Values display the mean and 95 % confidence interval for each time period from estimates using the standard inversion approach (standard) and the new PPI approach applied to temperature and heat flux profiles (PPIT and PPIF, respectively). All the inversions were performed using a model of 25 years per time step (temperatures: <inline-formula><mml:math id="M105" display="inline"><mml:mi mathvariant="normal">K</mml:mi></mml:math></inline-formula>; fluxes: <inline-formula><mml:math id="M106" display="inline"><mml:mrow><mml:mi mathvariant="normal">mW</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>; heat content: <inline-formula><mml:math id="M107" display="inline"><mml:mi mathvariant="normal">ZJ</mml:mi></mml:math></inline-formula>). </p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.95}[.95]?><oasis:tgroup cols="9">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right" colsep="1"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right" colsep="1"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:colspec colnum="9" colname="col9" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry rowsep="1" namest="col2" nameend="col3" align="center" colsep="1">Temperatures </oasis:entry>
         <oasis:entry rowsep="1" namest="col4" nameend="col6" align="center" colsep="1">Heat fluxes </oasis:entry>
         <oasis:entry rowsep="1" namest="col7" nameend="col9" align="center">Heat storage </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Period (CE)</oasis:entry>
         <oasis:entry colname="col2">GST_Standard</oasis:entry>
         <oasis:entry colname="col3">GST_PPIT</oasis:entry>
         <oasis:entry colname="col4">GHF_Standard</oasis:entry>
         <oasis:entry colname="col5">GHF_PPIT</oasis:entry>
         <oasis:entry colname="col6">GHF_PPIF</oasis:entry>
         <oasis:entry colname="col7">GHC_Standard</oasis:entry>
         <oasis:entry colname="col8">GHC_PPI</oasis:entry>
         <oasis:entry colname="col9">GHC_PPIF</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">1975–2000</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M108" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M109" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.1</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M110" display="inline"><mml:mrow><mml:mn mathvariant="normal">100</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M111" display="inline"><mml:mrow><mml:mn mathvariant="normal">70</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">70</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M112" display="inline"><mml:mrow><mml:mn mathvariant="normal">80</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">40</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M113" display="inline"><mml:mrow><mml:mn mathvariant="normal">10</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M114" display="inline"><mml:mrow><mml:mn mathvariant="normal">8</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col9"><inline-formula><mml:math id="M115" display="inline"><mml:mrow><mml:mn mathvariant="normal">9</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1950–1975</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M116" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.8</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M117" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.8</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.5</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M118" display="inline"><mml:mrow><mml:mn mathvariant="normal">40</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">40</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M119" display="inline"><mml:mrow><mml:mn mathvariant="normal">40</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">80</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M120" display="inline"><mml:mrow><mml:mn mathvariant="normal">40</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M121" display="inline"><mml:mrow><mml:mn mathvariant="normal">4</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M122" display="inline"><mml:mrow><mml:mn mathvariant="normal">4</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col9"><inline-formula><mml:math id="M123" display="inline"><mml:mrow><mml:mn mathvariant="normal">4</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1925–1950</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M124" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.6</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M125" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.6</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.6</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M126" display="inline"><mml:mrow><mml:mn mathvariant="normal">30</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">30</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M127" display="inline"><mml:mrow><mml:mn mathvariant="normal">40</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M128" display="inline"><mml:mrow><mml:mn mathvariant="normal">30</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M129" display="inline"><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M130" display="inline"><mml:mrow><mml:mn mathvariant="normal">4</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col9"><inline-formula><mml:math id="M131" display="inline"><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1900–1925</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M132" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.5</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M133" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.4</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.5</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M134" display="inline"><mml:mrow><mml:mn mathvariant="normal">30</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M135" display="inline"><mml:mrow><mml:mn mathvariant="normal">30</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">40</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M136" display="inline"><mml:mrow><mml:mn mathvariant="normal">20</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">50</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M137" display="inline"><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M138" display="inline"><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col9"><inline-formula><mml:math id="M139" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1875–1900</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M140" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.4</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M141" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.3</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.5</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M142" display="inline"><mml:mrow><mml:mn mathvariant="normal">30</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M143" display="inline"><mml:mrow><mml:mn mathvariant="normal">20</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">40</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M144" display="inline"><mml:mrow><mml:mn mathvariant="normal">20</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">40</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M145" display="inline"><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M146" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col9"><inline-formula><mml:math id="M147" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1850–1875</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M148" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.3</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M149" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.5</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M150" display="inline"><mml:mrow><mml:mn mathvariant="normal">20</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M151" display="inline"><mml:mrow><mml:mn mathvariant="normal">10</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">30</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M152" display="inline"><mml:mrow><mml:mn mathvariant="normal">10</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">40</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M153" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M154" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col9"><inline-formula><mml:math id="M155" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1825–1850</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M156" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M157" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.1</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M158" display="inline"><mml:mrow><mml:mn mathvariant="normal">20</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M159" display="inline"><mml:mrow><mml:mn mathvariant="normal">9</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">30</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M160" display="inline"><mml:mrow><mml:mn mathvariant="normal">10</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">30</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M161" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M162" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.9</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col9"><inline-formula><mml:math id="M163" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1800–1825</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M164" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.1</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M165" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.07</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M166" display="inline"><mml:mrow><mml:mn mathvariant="normal">10</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M167" display="inline"><mml:mrow><mml:mn mathvariant="normal">6</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M168" display="inline"><mml:mrow><mml:mn mathvariant="normal">7</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M169" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M170" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.7</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col9"><inline-formula><mml:math id="M171" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.8</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1775–1800</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M172" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.04</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M173" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.03</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M174" display="inline"><mml:mrow><mml:mn mathvariant="normal">10</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M175" display="inline"><mml:mrow><mml:mn mathvariant="normal">5</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M176" display="inline"><mml:mrow><mml:mn mathvariant="normal">5</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M177" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M178" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.5</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col9"><inline-formula><mml:math id="M179" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.5</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1750–1775</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M180" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.007</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M181" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.002</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M182" display="inline"><mml:mrow><mml:mn mathvariant="normal">7</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M183" display="inline"><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M184" display="inline"><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M185" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.7</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M186" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.4</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col9"><inline-formula><mml:math id="M187" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.3</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1725–1750</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M188" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.04</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.07</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M189" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.02</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M190" display="inline"><mml:mrow><mml:mn mathvariant="normal">5</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M191" display="inline"><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M192" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M193" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.5</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M194" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.3</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col9"><inline-formula><mml:math id="M195" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1700–1725</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M196" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.07</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.04</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M197" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.03</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M198" display="inline"><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M199" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M200" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">30</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M201" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.3</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.9</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M202" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col9"><inline-formula><mml:math id="M203" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.1</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1675–1700</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M204" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.08</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.06</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M205" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.04</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M206" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M207" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M208" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.7</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">30</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M209" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.7</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M210" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.1</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.8</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col9"><inline-formula><mml:math id="M211" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.07</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1650–1675</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M212" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.10</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.08</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M213" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.04</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M214" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M215" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.9</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M216" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.3</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">30</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M217" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.1</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.5</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M218" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.09</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.6</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col9"><inline-formula><mml:math id="M219" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.03</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1625–1650</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M220" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M221" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.05</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M222" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.6</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M223" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.5</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M224" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.07</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">30</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M225" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.07</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M226" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.05</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col9"><inline-formula><mml:math id="M227" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.007</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1600–1625</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M228" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M229" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.05</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M230" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.08</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M231" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M232" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">40</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M233" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.009</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M234" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.02</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col9"><inline-formula><mml:math id="M235" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.02</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table></table-wrap>

      <?pagebreak page459?><p id="d1e4436"><?xmltex \hack{\newpage}?>Ground surface temperature histories present slightly higher temperature changes since preindustrial times than previously reported, with results ranging from <inline-formula><mml:math id="M236" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.0</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula> K to <inline-formula><mml:math id="M237" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.2</mml:mn></mml:mrow></mml:math></inline-formula> K for the last part of the 20th century considering results from the three inversion models (Tables <xref ref-type="table" rid="Ch1.T1"/>, S1, and S2) in comparison to the <inline-formula><mml:math id="M238" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">0.9</mml:mn></mml:mrow></mml:math></inline-formula> K reported in previous works <xref ref-type="bibr" rid="bib1.bibx43 bib1.bibx37 bib1.bibx4 bib1.bibx76" id="paren.59"/>. Furthermore, ground surface temperature histories show a temperature increase of around <inline-formula><mml:math id="M239" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.5</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula> K using the GST_Standard ensemble and <inline-formula><mml:math id="M240" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.3</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.5</mml:mn></mml:mrow></mml:math></inline-formula> K using the GST_PPIT ensemble at the beginning of the instrumental period relative to preindustrial times (<inline-formula><mml:math id="M241" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">1900</mml:mn></mml:mrow></mml:math></inline-formula> CE; Fig. <xref ref-type="fig" rid="Ch1.F3"/>a). Thus, 67 % and 81 % of the land warming occurs after 1900 CE in the GST_Standard ensemble and the GST_PPIT ensemble, respectively, indicating an accelerated land warming during the 20th century, in agreement with other reconstructions of past changes in surface temperature <xref ref-type="bibr" rid="bib1.bibx63" id="paren.60"/>.</p>
      <?pagebreak page460?><p id="d1e4519">As in the case of surface temperature histories, the three approaches providing ground heat flux histories from BTP measurements are in good agreement during the entire period, although they present higher uncertainties than for temperatures (Fig. <xref ref-type="fig" rid="Ch1.F3"/>b and Table <xref ref-type="table" rid="Ch1.T1"/>). Global results from <xref ref-type="bibr" rid="bib1.bibx8" id="text.61"/> are also displayed in Fig. <xref ref-type="fig" rid="Ch1.F3"/>b (purple line), reaching similar values in comparison with ground heat flux histories in the GHF_Standard, GHF_PPIT, and GHF_PPIF ensembles except for the second half of the 20th century. Global heat flux change reaches <inline-formula><mml:math id="M242" display="inline"><mml:mrow><mml:mn mathvariant="normal">70</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M243" display="inline"><mml:mrow><mml:mn mathvariant="normal">60</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">50</mml:mn></mml:mrow></mml:math></inline-formula>, and <inline-formula><mml:math id="M244" display="inline"><mml:mrow><mml:mn mathvariant="normal">60</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">40</mml:mn></mml:mrow></mml:math></inline-formula> mW m<inline-formula><mml:math id="M245" 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 the GHF_Standard, GHF_PPIT, and GHF_PPIF ensembles, respectively (Table <xref ref-type="table" rid="Ch1.T1"/>), in contrast to <inline-formula><mml:math id="M246" display="inline"><mml:mrow><mml:mn mathvariant="normal">39</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula> mW m<inline-formula><mml:math id="M247" 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> presented in <xref ref-type="bibr" rid="bib1.bibx8" id="text.62"/> and <inline-formula><mml:math id="M248" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">33</mml:mn></mml:mrow></mml:math></inline-formula> mW m<inline-formula><mml:math id="M249" 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> from <xref ref-type="bibr" rid="bib1.bibx4" id="text.63"/>. The large number of recently acquired profiles included in our analysis may explain the larger flux estimates in comparison with previous works, since BTP measurements recorded before the 1980s did not capture the large disturbances in the surface energy budget from recent decades <xref ref-type="bibr" rid="bib1.bibx89" id="paren.64"/>. Global changes in ground heat content were estimated from the GHF_Standard, GHF_PPIT, and GHF_PPIF ensembles by scaling these fluxes to the continental areas except Antarctica and Greenland, where there are no BTP measurements, which results in three new sets of results: the GHC_Standard, GHC_PPIT, and GHC_PPIF ensembles. Changes in ground heat content of <inline-formula><mml:math id="M250" display="inline"><mml:mrow><mml:mn mathvariant="normal">15</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M251" display="inline"><mml:mrow><mml:mn mathvariant="normal">10</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula>, and <inline-formula><mml:math id="M252" display="inline"><mml:mrow><mml:mn mathvariant="normal">13</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula> ZJ (1 ZJ <inline-formula><mml:math id="M253" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M254" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">21</mml:mn></mml:msup></mml:math></inline-formula> J) are obtained for the period 1950–2000 CE using the GHC_Standard, GHC_PPIT, and GHC_PPIF ensembles, respectively, in comparison with <inline-formula><mml:math id="M255" display="inline"><mml:mrow><mml:mn mathvariant="normal">9</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> ZJ in <xref ref-type="bibr" rid="bib1.bibx8" id="text.65"/> and 7 ZJ in <xref ref-type="bibr" rid="bib1.bibx4" id="text.66"/>. As expected, these estimates of continental heat storage are larger than previously reported since the heat flux histories also present higher values. The small uncertainty for heat flux histories, and therefore for estimates of continental heat storage, shown by the standard and PPI approaches at the beginning of the period (Fig. <xref ref-type="fig" rid="Ch1.F3"/>) is artificially imposed by Eq. (<xref ref-type="disp-formula" rid="Ch1.E18"/>), since the heat flux estimate for the first temporal step is set to zero by default. Therefore, the GHF_PPIF and GHC_PPIF ensembles provide a more realistic estimate of the uncertainty in the global ground heat flux histories and ground heat content estimates for the first half of the period, with larger uncertainties for all ensembles in the second half of the period.</p>
      <p id="d1e4714">Although the borehole database used here contains BTP measurements recorded after 2000 CE, results are shown until the end of the 20th century, since the number of available logs decreases sharply afterwards and the remaining profiles are located mainly at high latitudes in North America and Australia (Fig. <xref ref-type="fig" rid="Ch1.F1"/>). We use the trend for the period 1970–2000 CE to extrapolate the heat flux histories until 2018 CE, providing an estimate of the accumulated heat content in the continental subsurface from 1960 CE to the present (Fig. <xref ref-type="fig" rid="Ch1.F4"/>). The global mean change in heat flux for the entire period is approximately 90 mW m<inline-formula><mml:math id="M256" 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> considering all inversion approaches, while the global heat flux change since 2000 CE is <inline-formula><mml:math id="M257" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">120</mml:mn></mml:mrow></mml:math></inline-formula> mW m<inline-formula><mml:math id="M258" 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>. Thus, the accumulated heat within the global continental subsurface obtained from these flux estimates reaches 20 ZJ for the entire period and <inline-formula><mml:math id="M259" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:math></inline-formula> ZJ for 2000–2018 CE. That is, if the global heat flux increase during the first decades of the 21st century resembled the trend of the period 1970–2000 CE, half of the total increase in energy storage within the continental subsurface in the last 58 years would have occurred during the last 2 decades, a remarkably similar result in comparison with the accelerated ocean heat uptake in the last decades <xref ref-type="bibr" rid="bib1.bibx32 bib1.bibx18 bib1.bibx19" id="paren.67"/>.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><?xmltex \currentcnt{4}?><?xmltex \def\figurename{Figure}?><label>Figure 4</label><caption><p id="d1e4771">Global ground heat flux histories <bold>(a)</bold> and ground heat content accumulated since 1960 CE <bold>(b)</bold> from borehole temperature profiles using the standard approach (black) and the new PPI approach applied to temperature profiles (PPIT, blue) and the corresponding heat flux profiles (PPIF, light blue). All inversions were performed using a 25-year inversion model. Data for 2001 to 2018 CE are extrapolated using the trend for the period 1971–2000 CE. </p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://cp.copernicus.org/articles/17/451/2021/cp-17-451-2021-f04.png"/>

      </fig>

</sec>
<?pagebreak page461?><sec id="Ch1.S5">
  <label>5</label><title>Discussion</title>
      <p id="d1e4795">Ground surface temperature and ground heat flux histories retrieved by the three inversion models used here show similar evolutions since preindustrial times and yield similar estimates of ground heat content for all continental areas without considering Antarctica and Greenland (Figs. <xref ref-type="fig" rid="Ch1.F3"/>, S2, and S3; Tables <xref ref-type="table" rid="Ch1.T1"/>, S1, and S2). Nonetheless, the  surface temperature, heat flux, and heat storage results are larger than previous global estimates of ground surface temperature histories, ground heat flux histories, and ground heat content from borehole data <xref ref-type="bibr" rid="bib1.bibx77 bib1.bibx43 bib1.bibx4 bib1.bibx8 bib1.bibx76" id="paren.68"/>. The main reason for the higher values reported here is the inclusion of additional temperature profiles measured at more recent dates than those employed in the literature, since logs acquired after the 1980s and 1990s recorded larger changes in the subsurface thermal regime due to larger variations in the surface energy balance <xref ref-type="bibr" rid="bib1.bibx89" id="paren.69"/>. That is, more than 250 high-quality logs have been measured or made available for the community since the early 2000s, including profiles from scarcely represented areas in the Southern Hemisphere. Additionally, there have been improvements in the aggregation and treatment of borehole profiles, contributing to the differences between our estimates and previous works <xref ref-type="bibr" rid="bib1.bibx11" id="paren.70"/>. We have truncated all logs to the same depth before performing the analysis in contrast to previous studies, which used profiles including a range of bottom depths, therefore including estimates of ground surface temperature histories and ground heat flux histories with different periods of reference.</p>
      <?pagebreak page462?><p id="d1e4811">The larger differences in uncertainties in heat flux estimates from the GHF_PPIT ensemble in comparison with those from the GHF_PPIF ensemble are caused by the criteria to discard unrealistic inversions in the PPI approach (Figs. <xref ref-type="fig" rid="Ch1.F3"/>b, S2b, and S3b). That is, the heat flux estimates for the GHF_PPIT ensemble were not filtered out using the flux criterion (0.51 W m<inline-formula><mml:math id="M260" 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>) of the PPI approach but the temperature criterion (2.57 K). Applying these different criteria is necessary since heat flux estimates from the GHF_PPIT ensemble result from applying Eq. (<xref ref-type="disp-formula" rid="Ch1.E18"/>) to the previously retrieved surface temperature histories in the GST_PPIT ensemble, while the heat flux histories considered in the GHF_PPIF ensemble result from direct inversions of heat flux profiles, as explained in Sect. <xref ref-type="sec" rid="Ch1.S3.SS3.SSS3"/>.</p>
      <p id="d1e4832">Borehole temperature profiles demonstrate a unique ability to integrate multi-centennial changes in the surface energy balance <xref ref-type="bibr" rid="bib1.bibx5" id="paren.71"/>, which makes borehole inversions an important source of information about preindustrial conditions. The depth range considered here (from 15 to 300 m) allows us to retrieve information from <inline-formula><mml:math id="M261" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">700</mml:mn></mml:mrow></mml:math></inline-formula> years before the logging date of each log, i.e., several centuries before industrialization. Thus, all surface temperature histories displayed in Figs. <xref ref-type="fig" rid="Ch1.F3"/>a, S2a, and S3a are relative to approximately 1300–1700 CE, as the subsurface quasi-equilibrium profile is estimated here from the 200–300 m depth range for all profiles <xref ref-type="bibr" rid="bib1.bibx25" id="paren.72"/>. The ground surface temperature increases relative to preindustrial conditions from the three GST_PPIT ensembles analyzed here are <inline-formula><mml:math id="M262" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">1.0</mml:mn></mml:mrow></mml:math></inline-formula> K for the last part of the 20th century, as previously shown in the Results section and Tables <xref ref-type="table" rid="Ch1.T1"/>, S1, and S2. This is not, however, an estimate of the global temperature change, since land temperature changes at a higher pace than the temperature at the surface of the ocean due to their different thermal properties. The ratio between land temperature change and ocean temperature change is estimated in <xref ref-type="bibr" rid="bib1.bibx38" id="text.73"/> based on an ensemble of long-term general circulation model simulations performed under different external forcings, resulting in land temperature changes <inline-formula><mml:math id="M263" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">2.36</mml:mn></mml:mrow></mml:math></inline-formula> times larger than ocean temperature changes. Thus, the ocean temperature change corresponding to the land temperature change retrieved from borehole temperature profiles can be approximated as <inline-formula><mml:math id="M264" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn></mml:mrow></mml:math></inline-formula> K, which suggests a global temperature change of <inline-formula><mml:math id="M265" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">0.7</mml:mn></mml:mrow></mml:math></inline-formula> K since preindustrial times. Such a temperature change from preindustrial conditions is in good agreement with the estimates of 0.55–0.8 K discussed in <xref ref-type="bibr" rid="bib1.bibx40" id="text.74"/> using observations, general circulation model simulations, and proxy databases, even for a preindustrial period much further in the past in comparison with the periods analyzed in <xref ref-type="bibr" rid="bib1.bibx83" id="text.75"/>.</p>
      <p id="d1e4906">These new estimates of continental heat storage and ground heat flux from BTP inversions have implications for the assessment of the Earth's heat inventory and for comparison with general circulation model simulations. The ocean heat flux is still much larger than the ground heat flux, with an ocean flux of <inline-formula><mml:math id="M266" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">900</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">100</mml:mn></mml:mrow></mml:math></inline-formula> mW m<inline-formula><mml:math id="M267" 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> <xref ref-type="bibr" rid="bib1.bibx98" id="paren.76"/> in contrast to the <inline-formula><mml:math id="M268" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">129</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">28</mml:mn></mml:mrow></mml:math></inline-formula> mW m<inline-formula><mml:math id="M269" 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> ground heat flux (Fig. <xref ref-type="fig" rid="Ch1.F4"/>) for the period 1993–2018 CE. Nevertheless, although the ocean is still the largest component of the Earth's heat inventory (89 %), the contribution of the continental subsurface is higher than previously reported <xref ref-type="bibr" rid="bib1.bibx98" id="paren.77"><named-content content-type="pre">6 % instead of 2 %–5 %;</named-content></xref>, reinforcing the necessity of monitoring and accounting for the rest of the components in the inventory. Furthermore, previous assessments have shown that general circulation model simulations are unable to represent changes in continental heat storage due to their shallow land surface model components <xref ref-type="bibr" rid="bib1.bibx88 bib1.bibx59 bib1.bibx24" id="paren.78"/>. The new estimates of continental heat storage emphasize the demand for deeper subsurfaces in general circulation models in order to generate global transient simulations capable of correctly reproducing the Earth's heat inventory.</p>
      <p id="d1e4976">The distribution of BTP measurements used in this analysis is especially scarce in zones of Africa, South America, and the Middle East, which may raise doubts about the global representativity of the assembled borehole dataset. Previous works have assessed the spatial distribution of BTP measurements using transient climate simulations performed by general circulation models at millennial timescales <xref ref-type="bibr" rid="bib1.bibx33 bib1.bibx34 bib1.bibx31 bib1.bibx67" id="paren.79"/> and borehole databases aggregated using different techniques <xref ref-type="bibr" rid="bib1.bibx6 bib1.bibx76" id="paren.80"/>, with all studies concluding that the effects of limited regional sampling on estimates of global changes should be minor. Additionally, surface air temperatures from SAT_CRU data present markedly similar values considering both the full domain and the locations and dates containing BTP inversions (see red and orange lines in Fig. <xref ref-type="fig" rid="Ch1.F3"/>), supporting the claim that borehole temporal and spatial distributions are representative of global conditions. Nevertheless, repeating measurements at previously logged borehole sites and obtaining new records at zones with a reduced density of BTP data would improve the global estimates of ground surface temperature and ground heat flux histories from borehole temperature profiles.</p>
</sec>
<sec id="Ch1.S6" sec-type="conclusions">
  <label>6</label><title>Conclusions</title>
      <p id="d1e4995">The magnitude of the retrieved changes in ground surface temperature in this analysis supports the claim that the Earth's surface has warmed by <inline-formula><mml:math id="M270" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">0.7</mml:mn></mml:mrow></mml:math></inline-formula> K since preindustrial times. The new estimates also reveal that the continental subsurface stored more energy during the last part of the 20th century than previously reported, reaching around 12 ZJ. This evidences the need to include deeper land surface model components in transient simulations performed by general circulation models in order to correctly reproduce the land component of the Earth's heat inventory and potentially powerful carbon feedbacks related to energy-dependent processes of the continental subsurface, such as the stability of the soil carbon pool and permafrost evolution.</p><?xmltex \hack{\clearpage}?>
</sec>

      
      </body>
    <back><app-group>

<?pagebreak page463?><app id="App1.Ch1.S1">
  <?xmltex \currentcnt{A}?><label>Appendix A</label><title>List of acronyms used in the main text</title>
<table-wrap id="Taba" position="anchor"><oasis:table><?xmltex \begin{scaleboxenv}{.85}[.85]?><oasis:tgroup cols="2">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1"><bold>Acronym</bold></oasis:entry>
         <oasis:entry colname="col2"><bold>Definition</bold></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">BTP</oasis:entry>
         <oasis:entry colname="col2">Borehole temperature profile</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">CE</oasis:entry>
         <oasis:entry colname="col2">Common Era</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">PPI</oasis:entry>
         <oasis:entry colname="col2">Perturbed parameter inversion</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">GST_PPIT</oasis:entry>
         <oasis:entry colname="col2">Ground surface temperature (GST) retrieved using the perturbed parameter inversion (PPI) approach and subsurface</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">temperature profiles (Sect. <xref ref-type="sec" rid="Ch1.S3.SS3.SSS2"/>)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">GST_Standard</oasis:entry>
         <oasis:entry colname="col2">Ground surface temperature (GST) retrieved using the standard approach (Sect. <xref ref-type="sec" rid="Ch1.S3.SS3.SSS1"/>)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">GHF_PPIF</oasis:entry>
         <oasis:entry colname="col2">Ground heat flux (GHF) at the surface retrieved using the perturbed parameter inversion (PPI) approach and subsurface</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">flux profiles (Sect. <xref ref-type="sec" rid="Ch1.S3.SS3.SSS3"/>)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">GHF_PPIT</oasis:entry>
         <oasis:entry colname="col2">Ground heat flux (GHF) at the surface retrieved using the GST_PPIT ensemble and Eq. (<xref ref-type="disp-formula" rid="Ch1.E18"/>)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">GHF_Standard</oasis:entry>
         <oasis:entry colname="col2">Ground heat flux (GHF) at the surface retrieved using the GST_Standard ensemble and Eq. (<xref ref-type="disp-formula" rid="Ch1.E18"/>)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">GHC_PPIF</oasis:entry>
         <oasis:entry colname="col2">Ground heat content (GHC) retrieved using the GHF_PPIF ensemble</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">GHC_PPIT</oasis:entry>
         <oasis:entry colname="col2">Ground heat content (GHC) retrieved using the GHF_PPIT ensemble</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">GHC_Standard</oasis:entry>
         <oasis:entry colname="col2">Ground heat content (GHC) retrieved using the GHF_Standard ensemble</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">RMSE</oasis:entry>
         <oasis:entry colname="col2">Root mean square error</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">SAT_CRU</oasis:entry>
         <oasis:entry colname="col2">Surface air temperature (SAT) from CRU TS 4.01 product</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">SVD</oasis:entry>
         <oasis:entry colname="col2">Singular value decomposition</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table></table-wrap>
        <?xmltex \hack{\clearpage}?>
</app>
  </app-group><notes notes-type="dataavailability"><title>Data availability</title>

      <p id="d1e5204">Data
from the Climatic Research Unit (CRU) at the University of East Anglia can be
accessed at <uri>https://doi.org/10/gcmcz3</uri> <xref ref-type="bibr" rid="bib1.bibx94" id="paren.81"/>. Borehole data can be found on the Figshare repository at <uri>https://doi.org/10.6084/m9.figshare.13516487</uri> <xref ref-type="bibr" rid="bib1.bibx26" id="paren.82"/>.</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d1e5219">The supplement related to this article is available online at: <inline-supplementary-material xlink:href="https://doi.org/10.5194/cp-17-451-2021-supplement" xlink:title="pdf">https://doi.org/10.5194/cp-17-451-2021-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e5228">FJCV analyzed the borehole data, developed the PPI
technique that was applied to characterize uncertainties in borehole inversions, and produced all
results and figures. FJCV, AGG, HB, JFGR, and EGB contributed to the interpretation and
discussion of results. FJCV wrote the first version of the paper, with subsequent
contributions from AGG, HB, JFGR, and EGB to all sections.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e5234">The authors declare that they have no conflict of interest.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e5240">We are grateful for two anonymous reviewers and their thoughtful and constructive feedback. This analysis contributes to the
PALEOLINK project (<uri>http://pastglobalchanges.org/science/wg/2knetwork/projects/paleolink/intro</uri>, last access: 16 February 2021), part of
the PAGES 2k Network. Hugo Beltrami
was supported by the Natural Sciences and
Engineering Research Council of Canada, the
Canada Research Chairs Program, and the
Canada Foundation for Innovation. Hugo Beltrami holds the Canada Research Chair in Climate Dynamics. Almudena García-García and Francisco José Cuesta-Valero were funded by Hugo Beltrami's Canada Research Chair program, the School of Graduate Students at the Memorial University of Newfoundland, and the Research Office at St. Francis Xavier University.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e5248">This research has been supported by the Natural Sciences and Engineering Research Council of Canada (grant no. NSERC DG 140576948) and the Canada Research Chairs (grant no. CRC 230687).</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e5255">This paper was edited by Nerilie Abram and reviewed by two anonymous referees.</p>
  </notes><ref-list>
    <title>References</title>

      <ref id="bib1.bibx1"><?xmltex \def\ref@label{{Barkaoui et~al.(2013)Barkaoui, Correia, Zarhloule, Rimi, Carneiro,
Boughriba, and Verdoya}}?><label>Barkaoui et al.(2013)Barkaoui, Correia, Zarhloule, Rimi, Carneiro,
Boughriba, and Verdoya</label><?label barkaoui2013btpsmorocco?><mixed-citation>Barkaoui, A. E., Correia, A., Zarhloule, Y., Rimi, A., Carneiro, J., Boughriba,  M., and Verdoya, M.: Reconstruction of remote climate change from borehole  temperature measurement in the eastern part of Morocco, Climatic Change, 118,  431–441, <ext-link xlink:href="https://doi.org/10.1007/s10584-012-0638-7" ext-link-type="DOI">10.1007/s10584-012-0638-7</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bibx2"><?xmltex \def\ref@label{{Beck(1977)}}?><label>Beck(1977)</label><?label beck1977tempgrads?><mixed-citation>Beck, A.: Climatically perturbed temperature gradients and their effect on
regional and continental heat-flow means, Tectonophysics, 41, 17–39,
<ext-link xlink:href="https://doi.org/10.1016/0040-1951(77)90178-0" ext-link-type="DOI">10.1016/0040-1951(77)90178-0</ext-link>, 1977.</mixed-citation></ref>
      <ref id="bib1.bibx3"><?xmltex \def\ref@label{{Beltrami(2001)}}?><label>Beltrami(2001)</label><?label beltrami2001ghfhinversion?><mixed-citation>Beltrami, H.: Surface heat flux histories from inversion of geothermal data:
Energy balance at the Earth's surface, J. Geophys. Res.-Sol. Ea., 106, 21979–21993, <ext-link xlink:href="https://doi.org/10.1029/2000JB000065" ext-link-type="DOI">10.1029/2000JB000065</ext-link>, 2001.</mixed-citation></ref>
      <ref id="bib1.bibx4"><?xmltex \def\ref@label{{Beltrami(2002{\natexlab{a}})}}?><label>Beltrami(2002a)</label><?label beltrami2002climate?><mixed-citation>Beltrami, H.: Climate from borehole data: Energy fluxes and temperatures since  1500, Geophys. Res. Lett., 29, 26-1–26-4,
<ext-link xlink:href="https://doi.org/10.1029/2002GL015702" ext-link-type="DOI">10.1029/2002GL015702</ext-link>, 2002a.</mixed-citation></ref>
      <ref id="bib1.bibx5"><?xmltex \def\ref@label{{Beltrami(2002{\natexlab{b}})}}?><label>Beltrami(2002b)</label><?label beltrami2002earthmemory?><mixed-citation>Beltrami, H.: Earth's Long-Term Memory, Science, 297, 206–207,  <ext-link xlink:href="https://doi.org/10.1126/science.1074027" ext-link-type="DOI">10.1126/science.1074027</ext-link>, 2002b.</mixed-citation></ref>
      <ref id="bib1.bibx6"><?xmltex \def\ref@label{{Beltrami and Bourlon(2004)}}?><label>Beltrami and Bourlon(2004)</label><?label beltrami2004nhwarming?><mixed-citation>Beltrami, H. and Bourlon, E.: Ground warming patterns in the Northern
Hemisphere during the last five centuries, Earth Planet. Sc.
Lett., 227, 169–177, <ext-link xlink:href="https://doi.org/10.1016/j.epsl.2004.09.014" ext-link-type="DOI">10.1016/j.epsl.2004.09.014</ext-link>,
2004.</mixed-citation></ref>
      <ref id="bib1.bibx7"><?xmltex \def\ref@label{{Beltrami et~al.(1992)Beltrami, Jessop, and
Mareschal}}?><label>Beltrami et al.(1992)Beltrami, Jessop, and
Mareschal</label><?label beltrami1992groundclimatechange?><mixed-citation>Beltrami, H., Jessop, A. M., and Mareschal, J.-C.: Ground temperature histories in eastern and central Canada from geothermal measurements: evidence of  climatic change, Global Planet. Change, 6, 167–183,
<ext-link xlink:href="https://doi.org/10.1016/0921-8181(92)90033-7" ext-link-type="DOI">10.1016/0921-8181(92)90033-7</ext-link>, 1992.</mixed-citation></ref>
      <ref id="bib1.bibx8"><?xmltex \def\ref@label{{Beltrami et~al.(2002)Beltrami, Smerdon, Pollack, and
Huang}}?><label>Beltrami et al.(2002)Beltrami, Smerdon, Pollack, and
Huang</label><?label beltrami2002continental?><mixed-citation>Beltrami, H., Smerdon, J. E., Pollack, H. N., and Huang, S.: Continental heat
gain in the global climate system, Geophys. Res. Lett., 29,
8-1–8-3, <ext-link xlink:href="https://doi.org/10.1029/2001GL014310" ext-link-type="DOI">10.1029/2001GL014310</ext-link>, 2002.</mixed-citation></ref>
      <ref id="bib1.bibx9"><?xmltex \def\ref@label{{Beltrami et~al.(2006)Beltrami, Bourlon, Kellman, and
Gonz{\'{a}}lez-Rouco}}?><label>Beltrami et al.(2006)Beltrami, Bourlon, Kellman, and
González-Rouco</label><?label beltrami2006nhheatflux?><mixed-citation>Beltrami, H., Bourlon, E., Kellman, L., and González-Rouco, J. F.: Spatial patterns of ground heat gain in the Northern Hemisphere, Geophys. Res. Lett., 33, l06717, <ext-link xlink:href="https://doi.org/10.1029/2006GL025676" ext-link-type="DOI">10.1029/2006GL025676</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bibx10"><?xmltex \def\ref@label{{Beltrami et~al.(2015{\natexlab{a}})Beltrami, Matharoo, and
Smerdon}}?><label>Beltrami et al.(2015a)Beltrami, Matharoo, and
Smerdon</label><?label beltrami2015btpuncertain?><mixed-citation>Beltrami, H., Matharoo, G. S., and Smerdon, J. E.: Ground surface temperature
and continental heat gain: uncertainties from underground, Environ.
Res. Lett., 10, 014009, <ext-link xlink:href="https://doi.org/10.1088/1748-9326/10/1/014009" ext-link-type="DOI">10.1088/1748-9326/10/1/014009</ext-link>,
2015a.</mixed-citation></ref>
      <ref id="bib1.bibx11"><?xmltex \def\ref@label{{Beltrami et~al.(2015{\natexlab{b}})Beltrami, Matharoo, and
Smerdon}}?><label>Beltrami et al.(2015b)Beltrami, Matharoo, and
Smerdon</label><?label beltrami2015depthbore?><mixed-citation>Beltrami, H., Matharoo, G. S., and Smerdon, J. E.: Impact of borehole depths on
reconstructed estimates of ground surface temperature histories and energy
storage, J. Geophys. Res.-Earth, 120, 763–778,
<ext-link xlink:href="https://doi.org/10.1002/2014JF003382" ext-link-type="DOI">10.1002/2014JF003382</ext-link>, 2014JF003382, 2015b.</mixed-citation></ref>
      <ref id="bib1.bibx12"><?xmltex \def\ref@label{{Beltrami et~al.(2017)Beltrami, Matharoo, Smerdon, Illanes, and
Tarasov}}?><label>Beltrami et al.(2017)Beltrami, Matharoo, Smerdon, Illanes, and
Tarasov</label><?label beltrami2017lgceffectgstreconst?><mixed-citation>Beltrami, H., Matharoo, G. S., Smerdon, J. E., Illanes, L., and Tarasov, L.:
Impacts of the Last Glacial Cycle on ground surface temperature
reconstructions over the last millennium, Geophys. Res. Lett., 44,
355–364, <ext-link xlink:href="https://doi.org/10.1002/2016GL071317" ext-link-type="DOI">10.1002/2016GL071317</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx13"><?xmltex \def\ref@label{{Bodri and Cermak(2005)}}?><label>Bodri and Cermak(2005)</label><?label bodri2005advectionbtps?><mixed-citation>Bodri, L. and Cermak, V.: Borehole temperatures, climate change and the
pre-observational surface air temperature mean: allowance for hydraulic
conditions, Global Planet. Change, 45, 265–276,
<ext-link xlink:href="https://doi.org/10.1016/j.gloplacha.2004.09.001" ext-link-type="DOI">10.1016/j.gloplacha.2004.09.001</ext-link>, 2005.</mixed-citation></ref>
      <ref id="bib1.bibx14"><?xmltex \def\ref@label{{Bullard and Schonland(1939)}}?><label>Bullard and Schonland(1939)</label><?label bullard1939thermalresistance?><mixed-citation>Bullard, E. C. and Schonland, B. F. J.: Heat flow in South Africa, P. Roy. Soc. Lond. A Mat., 173, 474–502, <ext-link xlink:href="https://doi.org/10.1098/rspa.1939.0159" ext-link-type="DOI">10.1098/rspa.1939.0159</ext-link>,1939.</mixed-citation></ref>
      <ref id="bib1.bibx15"><?xmltex \def\ref@label{{Campbell et~al.(2016)Campbell, Vermeulen, Aggarwal, Corner-Dolloff,
Girvetz, Loboguerrero, Ramirez-Villegas, Rosenstock, Sebastian, Thornton, and
Wollenberg}}?><label>Campbell et al.(2016)Campbell, Vermeulen, Aggarwal, Corner-Dolloff,
Girvetz, Loboguerrero, Ramirez-Villegas, Rosenstock, Sebastian, Thornton, and
Wollenberg</label><?label campbel2016ccfoodsec?><mixed-citation>Campbell, B. M., Vermeulen, S. J., Aggarwal, P. K., Corner-Dolloff, C.,
Girvetz, E., Loboguerrero, A. M., Ramirez-Villegas, J., Rosenstock, T.,
Sebastian, L., Thornton, P. K., and Wollenberg, E.: Reducing risks to food
security from climate change, Global Food Security, 11, 34–43,
<ext-link xlink:href="https://doi.org/10.1016/j.gfs.2016.06.002" ext-link-type="DOI">10.1016/j.gfs.2016.06.002</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx16"><?xmltex \def\ref@label{{Carslaw and Jaeger(1959)}}?><label>Carslaw and Jaeger(1959)</label><?label carslaw1959heat?><mixed-citation>
Carslaw, H. and Jaeger, J.: Conduction of Heat in Solids, Clarendon Press, Oxford, 1959.</mixed-citation></ref>
      <?pagebreak page465?><ref id="bib1.bibx17"><?xmltex \def\ref@label{{Cermak(1971)}}?><label>Cermak(1971)</label><?label cermak1971underground?><mixed-citation>Cermak, V.: Underground temperature and inferred climatic temperature of the
past millenium, Palaeogeography, Palaeoclimatology, Palaeoecology, 10, 1–19,  <ext-link xlink:href="https://doi.org/10.1016/0031-0182(71)90043-5" ext-link-type="DOI">10.1016/0031-0182(71)90043-5</ext-link>, 1971.</mixed-citation></ref>
      <ref id="bib1.bibx18"><?xmltex \def\ref@label{{Cheng et~al.(2017)Cheng, Trenberth, Fasullo, Boyer, Abraham, and
Zhu}}?><label>Cheng et al.(2017)Cheng, Trenberth, Fasullo, Boyer, Abraham, and
Zhu</label><?label cheng2017ohc?><mixed-citation>Cheng, L., Trenberth, K. E., Fasullo, J., Boyer, T., Abraham, J., and Zhu, J.:  Improved estimates of ocean heat content from 1960 to 2015, Sci. Adv.,
3, e1601545, <ext-link xlink:href="https://doi.org/10.1126/sciadv.1601545" ext-link-type="DOI">10.1126/sciadv.1601545</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx19"><?xmltex \def\ref@label{{Cheng et~al.(2019)Cheng, Abraham, Hausfather, and
Trenberth}}?><label>Cheng et al.(2019)Cheng, Abraham, Hausfather, and
Trenberth</label><?label cheng2019ohctrends?><mixed-citation>Cheng, L., Abraham, J., Hausfather, Z., and Trenberth, K. E.: How fast are the  oceans warming?, Science, 363, 128–129, <ext-link xlink:href="https://doi.org/10.1126/science.aav7619" ext-link-type="DOI">10.1126/science.aav7619</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bibx20"><?xmltex \def\ref@label{{Chouinard and Mareschal(2009)}}?><label>Chouinard and Mareschal(2009)</label><?label chouinard2009gsthsouthcanada?><mixed-citation>Chouinard, C. and Mareschal, J.-C.: Ground surface temperature history in
southern Canada: Temperatures at the base of the Laurentide ice sheet and
during the Holocene, Earth Planet. Sci. Lett., 277, 280–289,
<ext-link xlink:href="https://doi.org/10.1016/j.epsl.2008.10.026" ext-link-type="DOI">10.1016/j.epsl.2008.10.026</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bibx21"><?xmltex \def\ref@label{{Church et~al.(2011)Church, White, Konikow, Domingues, Cogley, Rignot,
Gregory, van~den Broeke, Monaghan, and
Velicogna}}?><label>Church et al.(2011)Church, White, Konikow, Domingues, Cogley, Rignot,
Gregory, van den Broeke, Monaghan, and
Velicogna</label><?label church2011sea-levelenergybudget?><mixed-citation>Church, J. A., White, N. J., Konikow, L. F., Domingues, C. M., Cogley, J. G.,
Rignot, E., Gregory, J. M., van den Broeke, M. R., Monaghan, A. J., and
Velicogna, I.: Revisiting the Earth's sea-level and energy budgets from 1961  to 2008, Geophys. Res. Lett., 38, l18601,
<ext-link xlink:href="https://doi.org/10.1029/2011GL048794" ext-link-type="DOI">10.1029/2011GL048794</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bibx22"><?xmltex \def\ref@label{{Clauser and Mareschal(1995)}}?><label>Clauser and Mareschal(1995)</label><?label clauser1995invbtps?><mixed-citation>Clauser, C. and Mareschal, J.-C.: Ground temperature history in central Europe from borehole temperature data, Geophys. J. Int., 121, 805–817, <ext-link xlink:href="https://doi.org/10.1111/j.1365-246X.1995.tb06440.x" ext-link-type="DOI">10.1111/j.1365-246X.1995.tb06440.x</ext-link>, 1995.</mixed-citation></ref>
      <ref id="bib1.bibx23"><?xmltex \def\ref@label{{Collins et~al.(2011)Collins, Booth, Bhaskaran, Harris, Murphy,
Sexton, and Webb}}?><label>Collins et al.(2011)Collins, Booth, Bhaskaran, Harris, Murphy,
Sexton, and Webb</label><?label collins2011ppemme?><mixed-citation>Collins, M., Booth, B. B. B., Bhaskaran, B., Harris, G. R., Murphy, J. M.,
Sexton, D. M. H., and Webb, M. J.: Climate model errors, feedbacks and
forcings: a comparison of perturbed physics and multi-model ensembles,
Clim. Dyn., 36, 1737–1766, <ext-link xlink:href="https://doi.org/10.1007/s00382-010-0808-0" ext-link-type="DOI">10.1007/s00382-010-0808-0</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bibx24"><?xmltex \def\ref@label{{Cuesta-Valero et~al.(2016)Cuesta-Valero, Garc{\'{\i}}a-Garc{\'{\i}}a,
Beltrami, and Smerdon}}?><label>Cuesta-Valero et al.(2016)Cuesta-Valero, García-García,
Beltrami, and Smerdon</label><?label cuesta-valero2016cescmip5?><mixed-citation>Cuesta-Valero, F. J., García-García, A., Beltrami, H., and Smerdon,
J. E.: First assessment of continental energy storage in CMIP5 simulations,
Geophys. Res. Lett., 43, 2016GL068496, <ext-link xlink:href="https://doi.org/10.1002/2016GL068496" ext-link-type="DOI">10.1002/2016GL068496</ext-link>,
2016.</mixed-citation></ref>
      <ref id="bib1.bibx25"><?xmltex \def\ref@label{{Cuesta-Valero et~al.(2019)Cuesta-Valero, Garc\'{\i}a-Garc\'{\i}a,
Beltrami, Zorita, and Jaume-Santero}}?><label>Cuesta-Valero et al.(2019)Cuesta-Valero, García-García,
Beltrami, Zorita, and Jaume-Santero</label><?label cuesta-valero2019ecsrefbtp?><mixed-citation>Cuesta-Valero, F. J., García-García, A., Beltrami, H., Zorita, E., and Jaume-Santero, F.: Long-term Surface Temperature (LoST) database as a complement for GCM preindustrial simulations, Clim. Past, 15, 1099–1111, <ext-link xlink:href="https://doi.org/10.5194/cp-15-1099-2019" ext-link-type="DOI">10.5194/cp-15-1099-2019</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bibx26"><?xmltex \def\ref@label{{Cuesta-Valero et~al.(2021)}}?><label>Cuesta-Valero et al.(2021)</label><?label FJCV2021?><mixed-citation>Cuesta-Valero, F. J., Beltrami, H., García-García, A., González-Rourco, J. F., and García-Bustamante, E.: Xibalbá: Underground Temperature Database, Figshare, <ext-link xlink:href="https://doi.org/https://doi.org/10.6084/m9.figshare.13516487" ext-link-type="DOI">https://doi.org/10.6084/m9.figshare.13516487</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bibx27"><?xmltex \def\ref@label{{Davis et~al.(2010)Davis, Harris, and Chapman}}?><label>Davis et al.(2010)Davis, Harris, and Chapman</label><?label davis2010repeatedbtps?><mixed-citation>Davis, M. G., Harris, R. N., and Chapman, D. S.: Repeat temperature
measurements in boreholes from northwestern Utah link ground and air
temperature changes at the decadal time scale, J. Geophys.
Res.-Sol. Ea., 115, B05203, <ext-link xlink:href="https://doi.org/10.1029/2009JB006875" ext-link-type="DOI">10.1029/2009JB006875</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bibx28"><?xmltex \def\ref@label{{Demezhko and Gornostaeva(2015)}}?><label>Demezhko and Gornostaeva(2015)</label><?label demezhko2015ghfurals?><mixed-citation>Demezhko, D. Y. and Gornostaeva, A. A.: Late Pleistocene–Holocene ground surface heat flux changes reconstructed from borehole temperature data (the Urals, Russia), Clim. Past, 11, 647–652, <ext-link xlink:href="https://doi.org/10.5194/cp-11-647-2015" ext-link-type="DOI">10.5194/cp-11-647-2015</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx29"><?xmltex \def\ref@label{{Dutton et~al.(2015)Dutton, Carlson, Long, Milne, Clark, DeConto,
Horton, Rahmstorf, and Raymo}}?><label>Dutton et al.(2015)Dutton, Carlson, Long, Milne, Clark, DeConto,
Horton, Rahmstorf, and Raymo</label><?label dutton2015slr?><mixed-citation>Dutton, A., Carlson, A. E., Long, A. J., Milne, G. A., Clark, P. U., DeConto,
R., Horton, B. P., Rahmstorf, S., and Raymo, M. E.: Sea-level rise due to
polar ice-sheet mass loss during past warm periods, Science, 349, aaa4019,
<ext-link xlink:href="https://doi.org/10.1126/science.aaa4019" ext-link-type="DOI">10.1126/science.aaa4019</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx30"><?xmltex \def\ref@label{{Fern\'{a}ndez-Donado et~al.(2013)Fern\'{a}ndez-Donado, Gonz\'{a}lez-Rouco,
Raible, Ammann, Barriopedro, Garc\'{\i}a-Bustamante, Jungclaus, Lorenz,
Luterbacher, Phipps, Servonnat, Swingedouw, Tett, Wagner, Yiou, and
Zorita}}?><label>Fernández-Donado et al.(2013)Fernández-Donado, González-Rouco,
Raible, Ammann, Barriopedro, García-Bustamante, Jungclaus, Lorenz,
Luterbacher, Phipps, Servonnat, Swingedouw, Tett, Wagner, Yiou, and
Zorita</label><?label fernandez-donado2013satteflm?><mixed-citation>Fernández-Donado, L., González-Rouco, J. F., Raible, C. C., Ammann, C. M., Barriopedro, D., García-Bustamante, E., Jungclaus, J. H., Lorenz, S. J., Luterbacher, J., Phipps, S. J., Servonnat, J., Swingedouw, D., Tett, S. F. B., Wagner, S., Yiou, P., and Zorita, E.: Large-scale temperature response to external forcing in simulations and reconstructions of the last millennium, Clim. Past, 9, 393–421, <ext-link xlink:href="https://doi.org/10.5194/cp-9-393-2013" ext-link-type="DOI">10.5194/cp-9-393-2013</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bibx31"><?xmltex \def\ref@label{{Garc{\'{\i}}a-Garc{\'{\i}}a et~al.(2016)Garc{\'{\i}}a-Garc{\'{\i}}a,
Cuesta-Valero, Beltrami, and Smerdon}}?><label>García-García et al.(2016)García-García,
Cuesta-Valero, Beltrami, and Smerdon</label><?label garcia-garcia2016cmip5boreholes?><mixed-citation>García-García, A., Cuesta-Valero, F. J., Beltrami, H., and Smerdon,
J. E.: Simulation of air and ground temperatures in PMIP3/CMIP5 last
millennium simulations: implications for climate reconstructions from
borehole temperature profiles, Environ. Res. Lett., 11, 044022,
<ext-link xlink:href="https://doi.org/10.1088/1748-9326/11/4/044022" ext-link-type="DOI">10.1088/1748-9326/11/4/044022</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx32"><?xmltex \def\ref@label{{Gleckler et~al.(2016)Gleckler, Durack, Stouffer, Johnson, and
Forest}}?><label>Gleckler et al.(2016)Gleckler, Durack, Stouffer, Johnson, and
Forest</label><?label glecker2016ohc?><mixed-citation>Gleckler, P. J., Durack, P. J., Stouffer, R. J., Johnson, G. C., and Forest,
C. E.: Industrial-era global ocean heat uptake doubles in recent decades,
Nat. Clim. Change, 6, 394–398,
<ext-link xlink:href="https://doi.org/10.1038/nclimate2915" ext-link-type="DOI">10.1038/nclimate2915</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx33"><?xmltex \def\ref@label{{Gonz{\'{a}}lez-Rouco et~al.(2006)Gonz{\'{a}}lez-Rouco, Beltrami, Zorita,
and von Storch}}?><label>González-Rouco et al.(2006)González-Rouco, Beltrami, Zorita,
and von Storch</label><?label gonzalez2006simulation?><mixed-citation>González-Rouco, J. F., Beltrami, H., Zorita, E., and von Storch, H.:
Simulation and inversion of borehole temperature profiles in surrogate
climates: Spatial distribution and surface coupling, Geophys. Res.
Lett., 33, l01703, <ext-link xlink:href="https://doi.org/10.1029/2005GL024693" ext-link-type="DOI">10.1029/2005GL024693</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bibx34"><?xmltex \def\ref@label{{Gonz\'{a}lez-Rouco et~al.(2009)Gonz\'{a}lez-Rouco, Beltrami, Zorita, and
Stevens}}?><label>González-Rouco et al.(2009)González-Rouco, Beltrami, Zorita, and
Stevens</label><?label gonzalez2009borehole?><mixed-citation>González-Rouco, J. F., Beltrami, H., Zorita, E., and Stevens, M. B.: Borehole climatology: a discussion based on contributions from climate modeling, Clim. Past, 5, 97–127, <ext-link xlink:href="https://doi.org/10.5194/cp-5-97-2009" ext-link-type="DOI">10.5194/cp-5-97-2009</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bibx35"><?xmltex \def\ref@label{{Hansen et~al.(2011)Hansen, Sato, Kharecha, and
Schuckmann}}?><label>Hansen et al.(2011)Hansen, Sato, Kharecha, and
Schuckmann</label><?label hansen2011earth?><mixed-citation>Hansen, J., Sato, M., Kharecha, P., and von Schuckmann, K.: Earth's energy imbalance and implications, Atmos. Chem. Phys., 11, 13421–13449, <ext-link xlink:href="https://doi.org/10.5194/acp-11-13421-2011" ext-link-type="DOI">10.5194/acp-11-13421-2011</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bibx36"><?xmltex \def\ref@label{{Harris et~al.(2014)Harris, Jones, Osborn, and
Lister}}?><label>Harris et al.(2014)Harris, Jones, Osborn, and
Lister</label><?label harris2014crust324?><mixed-citation>Harris, I., Jones, P., Osborn, T., and Lister, D.: Updated high-resolution
grids of monthly climatic observations – the CRU TS3.10 Dataset,
Int. J. Clim., 34, 623–642, <ext-link xlink:href="https://doi.org/10.1002/joc.3711" ext-link-type="DOI">10.1002/joc.3711</ext-link>,
2014.</mixed-citation></ref>
      <ref id="bib1.bibx37"><?xmltex \def\ref@label{{Harris and Chapman(2001)}}?><label>Harris and Chapman(2001)</label><?label harris2001btpsat?><mixed-citation>Harris, R. N. and Chapman, D. S.: Mid-latitude (30<inline-formula><mml:math id="M271" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>–60<inline-formula><mml:math id="M272" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>
N) climatic warming inferred by combining borehole temperatures with surface air temperatures, Geophys. Res. Lett., 28, 747–750,
<ext-link xlink:href="https://doi.org/10.1029/2000GL012348" ext-link-type="DOI">10.1029/2000GL012348</ext-link>, 2001.</mixed-citation></ref>
      <ref id="bib1.bibx38"><?xmltex \def\ref@label{{Harrison et~al.(2015)Harrison, Bartlein, Izumi, Li, Annan,
Hargreaves, Braconnot, and Kageyama}}?><label>Harrison et al.(2015)Harrison, Bartlein, Izumi, Li, Annan,
Hargreaves, Braconnot, and Kageyama</label><?label harrison2015paleofuturesimulations?><mixed-citation>Harrison, S. P., Bartlein, P. J., Izumi, K., Li, G., Annan, J., Hargreaves, J., Braconnot, P., and Kageyama, M.: Evaluation of CMIP5 palaeo-simulations to  improve climate projections, Nat. Clim. Change, 5, 735–743,
<ext-link xlink:href="https://doi.org/10.1038/nclimate2649" ext-link-type="DOI">10.1038/nclimate2649</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx39"><?xmltex \def\ref@label{{Hartmann and Rath(2005)}}?><label>Hartmann and Rath(2005)</label><?label hartman2005uncertaintiesbtpmethod?><mixed-citation>Hartmann, A. and Rath, V.: Uncertainties and shortcomings of ground surface
temperature histories derived from inversion of temperature logs, J.  Geophys. Eng., 2, 299–311, <ext-link xlink:href="https://doi.org/10.1088/1742-2132/2/4/S02" ext-link-type="DOI">10.1088/1742-2132/2/4/S02</ext-link>,
2005.</mixed-citation></ref>
      <ref id="bib1.bibx40"><?xmltex \def\ref@label{{Hawkins et~al.(2017)Hawkins, Ortega, Suckling, Schurer, Hegerl,
Jones, Joshi, Osborn, Masson-Delmotte, Mignot, Thorne, and van
Oldenborgh}}?><label>Hawkins et al.(2017)Hawkins, Ortega, Suckling, Schurer, Hegerl,
Jones, Joshi, Osborn, Masson-Delmotte, Mignot, Thorne, and van
Oldenborgh</label><?label hawkins2017defpi?><mixed-citation>Hawkins, E., Ortega, P., Suckling, E., Schurer, A., Hegerl, G., Jones, P.,
Joshi, M., Osborn, T. J., Masson-Delmotte, V., Mignot, J., Thorne, P., and
van Oldenborgh, G. J.: Estimating Changes in Global Temperature since the
Preindustrial Period, B. Am. Meteorol. Soc., 98,
1841–1856, <ext-link xlink:href="https://doi.org/10.1175/BAMS-D-16-0007.1" ext-link-type="DOI">10.1175/BAMS-D-16-0007.1</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx41"><?xmltex \def\ref@label{{Hicks~Pries et~al.(2017)Hicks~Pries, Castanha, Porras, and
Torn}}?><label>Hicks Pries et al.(2017)Hicks Pries, Castanha, Porras, and
Torn</label><?label pries2017soilcarbonwarming?><mixed-citation>Hicks Pries, C. E., Castanha, C., Porras, R. C., and Torn, M. S.: The
whole-soil carbon flux in response to warming, Science, 355, 1420–1423,
<ext-link xlink:href="https://doi.org/10.1126/science.aal1319" ext-link-type="DOI">10.1126/science.aal1319</ext-link>, 2017.</mixed-citation></ref>
      <?pagebreak page466?><ref id="bib1.bibx42"><?xmltex \def\ref@label{{Hopcroft et~al.(2007)Hopcroft, Gallagher, and
Pain}}?><label>Hopcroft et al.(2007)Hopcroft, Gallagher, and
Pain</label><?label hopcroft2007bayesinveruk?><mixed-citation>Hopcroft, P. O., Gallagher, K., and Pain, C. C.: Inference of past climate from borehole temperature data using Bayesian Reversible Jump Markov chain Monte  Carlo, Geophys. J. Int., 171, 1430–1439,
<ext-link xlink:href="https://doi.org/10.1111/j.1365-246X.2007.03596.x" ext-link-type="DOI">10.1111/j.1365-246X.2007.03596.x</ext-link>, 2007.</mixed-citation></ref>
      <ref id="bib1.bibx43"><?xmltex \def\ref@label{{Huang et~al.(2000)Huang, Pollack, and Shen}}?><label>Huang et al.(2000)Huang, Pollack, and Shen</label><?label huang2000temptrendbtp?><mixed-citation>Huang, S., Pollack, H. N., and Shen, P.-Y.: Temperature trends over the past
five centuries reconstructed from borehole temperatures, Nature, 403,
756–758, <ext-link xlink:href="https://doi.org/10.1038/35001556" ext-link-type="DOI">10.1038/35001556</ext-link>, 2000.</mixed-citation></ref>
      <ref id="bib1.bibx44"><?xmltex \def\ref@label{{Irving et~al.(2019)Irving, Wijffels, and
Church}}?><label>Irving et al.(2019)Irving, Wijffels, and
Church</label><?label irving2019ohuohcoht?><mixed-citation>Irving, D. B., Wijffels, S., and Church, J. A.: Anthropogenic Aerosols,
Greenhouse Gases, and the Uptake, Transport, and Storage of Excess Heat in
the Climate System, Geophys. Res. Lett., 46, 4894–4903,
<ext-link xlink:href="https://doi.org/10.1029/2019GL082015" ext-link-type="DOI">10.1029/2019GL082015</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bibx45"><?xmltex \def\ref@label{{Jacob et~al.(2012)Jacob, Wahr, Pfeffer, and
Swenson}}?><label>Jacob et al.(2012)Jacob, Wahr, Pfeffer, and
Swenson</label><?label jacob2012gicmelting?><mixed-citation>Jacob, T., Wahr, J., Pfeffer, W. T., and Swenson, S.: Recent contributions of
glaciers and ice caps to sea level rise, Nature, 482, 514–518,
<ext-link xlink:href="https://doi.org/10.1038/nature10847" ext-link-type="DOI">10.1038/nature10847</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bibx46"><?xmltex \def\ref@label{{Jaume-Santero et~al.(2016)Jaume-Santero, Pickler, Beltrami, and
Mareschal}}?><label>Jaume-Santero et al.(2016)Jaume-Santero, Pickler, Beltrami, and
Mareschal</label><?label jaumesantero2016514btp?><mixed-citation>Jaume-Santero, F., Pickler, C., Beltrami, H., and Mareschal, J.-C.: North American regional climate reconstruction from ground surface temperature histories, Clim. Past, 12, 2181–2194, <ext-link xlink:href="https://doi.org/10.5194/cp-12-2181-2016" ext-link-type="DOI">10.5194/cp-12-2181-2016</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx47"><?xmltex \def\ref@label{{Johnson et~al.(2016)Johnson, Lyman, and Loeb}}?><label>Johnson et al.(2016)Johnson, Lyman, and Loeb</label><?label johnson2016obseei?><mixed-citation>Johnson, G. C., Lyman, J. M., and Loeb, N. G.: Improving estimates of Earth's
energy imbalance, Nat. Clim. Change, 6, 639,
<ext-link xlink:href="https://doi.org/10.1038/nclimate3043" ext-link-type="DOI">10.1038/nclimate3043</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx48"><?xmltex \def\ref@label{{Knutti et~al.(2017)Knutti, Sedl{\'{a}}{\v{c}}ek, Sanderson, Lorenz,
Fischer, and Eyring}}?><label>Knutti et al.(2017)Knutti, Sedláček, Sanderson, Lorenz,
Fischer, and Eyring</label><?label knutti2017weightingmodels?><mixed-citation>Knutti, R., Sedláček, J., Sanderson, B. M., Lorenz, R., Fischer,
E. M., and Eyring, V.: A climate model projection weighting scheme accounting for performance and interdependence, Geophys. Res. Lett., 44,
1909–1918, <ext-link xlink:href="https://doi.org/10.1002/2016GL072012" ext-link-type="DOI">10.1002/2016GL072012</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx49"><?xmltex \def\ref@label{{Kundzewicz et~al.(2014)Kundzewicz, Kanae, Seneviratne, Handmer,
Nicholls, Peduzzi, Mechler, Bouwer, Arnell, Mach, Muir-Wood, Brakenridge,
Kron, Benito, Honda, Takahashi, and Sherstyukov}}?><label>Kundzewicz et al.(2014)Kundzewicz, Kanae, Seneviratne, Handmer,
Nicholls, Peduzzi, Mechler, Bouwer, Arnell, Mach, Muir-Wood, Brakenridge,
Kron, Benito, Honda, Takahashi, and Sherstyukov</label><?label kundzewicz2014ccfloods?><mixed-citation>Kundzewicz, Z. W., Kanae, S., Seneviratne, S. I., Handmer, J., Nicholls, N.,
Peduzzi, P., Mechler, R., Bouwer, L. M., Arnell, N., Mach, K., Muir-Wood, R.,
Brakenridge, G. R., Kron, W., Benito, G., Honda, Y., Takahashi, K., and
Sherstyukov, B.: Flood risk and climate change: global and regional
perspectives, Hydrol. Sci. J., 59, 1–28,
<ext-link xlink:href="https://doi.org/10.1080/02626667.2013.857411" ext-link-type="DOI">10.1080/02626667.2013.857411</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bibx50"><?xmltex \def\ref@label{{Lachenbruch and Marshall(1986)}}?><label>Lachenbruch and Marshall(1986)</label><?label lachenbruch1986geothermal?><mixed-citation>Lachenbruch, A. H. and Marshall, B. V.: Changing Climate: Geothermal Evidence
from Permafrost in the Alaskan Arctic, Science, 234, 689–696,
<ext-link xlink:href="https://doi.org/10.1126/science.234.4777.689" ext-link-type="DOI">10.1126/science.234.4777.689</ext-link>, 1986.</mixed-citation></ref>
      <ref id="bib1.bibx51"><?xmltex \def\ref@label{{Lanczos(1961)}}?><label>Lanczos(1961)</label><?label lanczos1961linear?><mixed-citation>
Lanczos, C.: Linear differential operators, Van Nostrand, New York, 1961.</mixed-citation></ref>
      <ref id="bib1.bibx52"><?xmltex \def\ref@label{{Lane(1923)}}?><label>Lane(1923)</label><?label lane1923inversions?><mixed-citation>Lane, A. C.: Geotherms of Lake Superior Copper Country, GSA Bull., 34,
703–720, <ext-link xlink:href="https://doi.org/10.1130/GSAB-34-703" ext-link-type="DOI">10.1130/GSAB-34-703</ext-link>, 1923.</mixed-citation></ref>
      <ref id="bib1.bibx53"><?xmltex \def\ref@label{{Lembo et~al.(2019)Lembo, Folini, Wild, and
Lionello}}?><label>Lembo et al.(2019)Lembo, Folini, Wild, and
Lionello</label><?label lembo2019eebcet?><mixed-citation>Lembo, V., Folini, D., Wild, M., and Lionello, P.: Inter-hemispheric
differences in energy budgets and cross-equatorial transport anomalies during the 20th century, Clim. Dyn., 53, 115–135,
<ext-link xlink:href="https://doi.org/10.1007/s00382-018-4572-x" ext-link-type="DOI">10.1007/s00382-018-4572-x</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bibx54"><?xmltex \def\ref@label{{Lesperance et~al.(2010)Lesperance, Smerdon, and
Beltrami}}?><label>Lesperance et al.(2010)Lesperance, Smerdon, and
Beltrami</label><?label lesperance2010propagation?><mixed-citation>Lesperance, M., Smerdon, J. E., and Beltrami, H.: Propagation of linear surface  air temperature trends into the terrestrial subsurface, J.
Geophys. Res.-Atmos., 115, d21115, <ext-link xlink:href="https://doi.org/10.1029/2010JD014377" ext-link-type="DOI">10.1029/2010JD014377</ext-link>,
2010.</mixed-citation></ref>
      <ref id="bib1.bibx55"><?xmltex \def\ref@label{{Levitus et~al.(2005)Levitus, Antonov, and Boyer}}?><label>Levitus et al.(2005)Levitus, Antonov, and Boyer</label><?label levitus2005warming?><mixed-citation>Levitus, S., Antonov, J., and Boyer, T.: Warming of the world ocean,
1955–2003, Geophys. Res. Lett., 32, l02604, <ext-link xlink:href="https://doi.org/10.1029/2004GL021592" ext-link-type="DOI">10.1029/2004GL021592</ext-link>,  2005.</mixed-citation></ref>
      <ref id="bib1.bibx56"><?xmltex \def\ref@label{{Levy et~al.(2016)Levy, Woster, Goldstein, and
Carlton}}?><label>Levy et al.(2016)Levy, Woster, Goldstein, and
Carlton</label><?label levy2016ccwaterborne?><mixed-citation>Levy, K., Woster, A. P., Goldstein, R. S., and Carlton, E. J.: Untangling the
Impacts of Climate Change on Waterborne Diseases: a Systematic Review of
Relationships between Diarrheal Diseases and Temperature, Rainfall, Flooding, and Drought, Environ. Sci. Tech., 50, 4905–4922,
<ext-link xlink:href="https://doi.org/10.1021/acs.est.5b06186" ext-link-type="DOI">10.1021/acs.est.5b06186</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx57"><?xmltex \def\ref@label{{Lloyd et~al.(2011)Lloyd, Kovats, and
Chalabi}}?><label>Lloyd et al.(2011)Lloyd, Kovats, and
Chalabi</label><?label lloyd2011cccropsundernut?><mixed-citation>Lloyd, S. J., Kovats, R. S., and Chalabi, Z.: Climate Change, Crop Yields, and Undernutrition: Development of a Model to Quantify the Impact of Climate
Scenarios on Child Undernutrition, Environ. Health Persp., 119,
1817–1823, <ext-link xlink:href="https://doi.org/10.1289/ehp.1003311" ext-link-type="DOI">10.1289/ehp.1003311</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bibx58"><?xmltex \def\ref@label{{Loeb et~al.(2016)Loeb, Wang, Cheng, Kato, Fasullo, Xu, and
Allan}}?><label>Loeb et al.(2016)Loeb, Wang, Cheng, Kato, Fasullo, Xu, and
Allan</label><?label loeb2016aoht?><mixed-citation>Loeb, N. G., Wang, H., Cheng, A., Kato, S., Fasullo, J. T., Xu, K.-M., and
Allan, R. P.: Observational constraints on atmospheric and oceanic
cross-equatorial heat transports: revisiting the precipitation asymmetry
problem in climate models, Clim. Dyn., 46, 3239–3257,
<ext-link xlink:href="https://doi.org/10.1007/s00382-015-2766-z" ext-link-type="DOI">10.1007/s00382-015-2766-z</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx59"><?xmltex \def\ref@label{{MacDougall et~al.(2008)MacDougall, Gonz{\'{a}}lez-Rouco, Stevens, and
Beltrami}}?><label>MacDougall et al.(2008)MacDougall, González-Rouco, Stevens, and
Beltrami</label><?label macdougall2008quantification?><mixed-citation>MacDougall, A. H., González-Rouco, J. F., Stevens, M. B., and Beltrami, H.:
Quantification of subsurface heat storage in a GCM simulation, Geophys.
Res. Lett., 35, L13702, <ext-link xlink:href="https://doi.org/10.1029/2008GL034639" ext-link-type="DOI">10.1029/2008GL034639</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bibx60"><?xmltex \def\ref@label{{MacDougall et~al.(2010)MacDougall, Beltrami, Gonz{\'{a}}lez-Rouco,
Stevens, and Bourlon}}?><label>MacDougall et al.(2010)MacDougall, Beltrami, González-Rouco,
Stevens, and Bourlon</label><?label macdougall2010comparison?><mixed-citation>MacDougall, A. H., Beltrami, H., González-Rouco, J. F., Stevens, M. B., and  Bourlon, E.: Comparison of observed and general circulation model derived  continental subsurface heat flux in the Northern Hemisphere, J.
Geophys. Res.-Atmos., 115, D12109, <ext-link xlink:href="https://doi.org/10.1029/2009JD013170" ext-link-type="DOI">10.1029/2009JD013170</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bibx61"><?xmltex \def\ref@label{{MacDougall et~al.(2012)MacDougall, Avis, and
Weaver}}?><label>MacDougall et al.(2012)MacDougall, Avis, and
Weaver</label><?label macdougall2012pcf?><mixed-citation>MacDougall, A. H., Avis, C. A., and Weaver, A. J.: Significant contribution to  climate warming from the permafrost carbon feedback, Nat. Geosci., 5,
719–721, <ext-link xlink:href="https://doi.org/10.1038/ngeo1573" ext-link-type="DOI">10.1038/ngeo1573</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bibx62"><?xmltex \def\ref@label{{Mareschal and Beltrami(1992)}}?><label>Mareschal and Beltrami(1992)</label><?label mareschal1992recentwarming?><mixed-citation>Mareschal, J.-C. and Beltrami, H.: Evidence for recent warming from perturbed
geothermal gradients: examples from eastern Canada, Clim. Dyn., 6,
135–143, <ext-link xlink:href="https://doi.org/10.1007/BF00193525" ext-link-type="DOI">10.1007/BF00193525</ext-link>, 1992.</mixed-citation></ref>
      <ref id="bib1.bibx63"><?xmltex \def\ref@label{{Masson-Delmotte et~al.(2013)Masson-Delmotte, Schulz, Abe-Ouchi, Beer,
Ganopolski, Gonz{\'{a}}lez~Rouco, Jansen, Lambeck, Luterbacher, Naish, Osborn,
Otto-Bliesner, Quinn, Ramesh, Rojas, Shao, and Timmermann}}?><label>Masson-Delmotte et al.(2013)Masson-Delmotte, Schulz, Abe-Ouchi, Beer,
Ganopolski, González Rouco, Jansen, Lambeck, Luterbacher, Naish, Osborn,
Otto-Bliesner, Quinn, Ramesh, Rojas, Shao, and Timmermann</label><?label ipcc5chap5?><mixed-citation>Masson-Delmotte, V., Schulz, M., Abe-Ouchi, A., Beer, J., Ganopolski, A.,
González Rouco, J., Jansen, E., Lambeck, K., Luterbacher, J., Naish, T.,
Osborn, T., Otto-Bliesner, B., Quinn, T., Ramesh, R., Rojas, M., Shao, X.,
and Timmermann, A.: Information from Paleoclimate Archives, in: Climate
Change 2013: The Physical Science Basis. Contribution of Working Group I to
the Fifth Assessment Report of the Intergovernmental Panel on Climate Change,
edited by: Stocker, T., Qin, D., Plattner, G.-K., Tignor, M., Allen, S.,
Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P., book section 5, pp. 383–464, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, <ext-link xlink:href="https://doi.org/10.1017/CBO9781107415324.013" ext-link-type="DOI">10.1017/CBO9781107415324.013</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bibx64"><?xmltex \def\ref@label{{Matthews et~al.(2017)Matthews, Wilby, and
Murphy}}?><label>Matthews et al.(2017)Matthews, Wilby, and
Murphy</label><?label matthews2017ccheatdeath?><mixed-citation>Matthews, T. K. R., Wilby, R. L., and Murphy, C.: Communicating the deadly
consequences of global warming for human heat stress, P.
Natl. Acad. Sci. USA, 114, 3861–3866, <ext-link xlink:href="https://doi.org/10.1073/pnas.1617526114" ext-link-type="DOI">10.1073/pnas.1617526114</ext-link>,
2017.</mixed-citation></ref>
      <ref id="bib1.bibx65"><?xmltex \def\ref@label{{McGranahan et~al.(2007)McGranahan, Balk, and
Anderson}}?><label>McGranahan et al.(2007)McGranahan, Balk, and
Anderson</label><?label mcgranahan2007cccoastalflood?><mixed-citation>McGranahan, G., Balk, D., and Anderson, B.: The rising tide: assessing the
risks of climate change and human settlements in low elevation coastal zones, Environ. Urban., 19, 17–37, <ext-link xlink:href="https://doi.org/10.1177/0956247807076960" ext-link-type="DOI">10.1177/0956247807076960</ext-link>,
2007.</mixed-citation></ref>
      <ref id="bib1.bibx66"><?xmltex \def\ref@label{{McPherson et~al.(2017)McPherson, Garc{\'{\i}}a-Garc{\'{\i}}a,
Cuesta-Valero, Beltrami, Hansen-Ketchum, MacDougall, and
Ogden}}?><label>McPherson et al.(2017)McPherson, García-García,
Cuesta-Valero, Beltrami, Hansen-Ketchum, MacDougall, and
Ogden</label><?label mcpherson2017lymecmip5?><mixed-citation>McPherson, M., García-García, A., Cuesta-Valero, F. J., Beltrami, H.,
Hansen-Ketchum, P., MacDougall, D., and Ogden, N. H.: Expansion of the Lyme
Disease Vector <italic>Ixodes Scapularis</italic> in Canada Inferred from CMIP5 Climate
Projections, Environ. Health Persp., 125, 057008,
<ext-link xlink:href="https://doi.org/10.1289/EHP57" ext-link-type="DOI">10.1289/EHP57</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx67"><?xmltex \def\ref@label{{Melo-Aguilar et~al.(2020)Melo-Aguilar, Gonz\'{a}lez-Rouco,
Garc\'{\i}a-Bustamante, Steinert, Jungclaus, Navarro, and
Roldan-G\'{o}mez}}?><label>Melo-Aguilar et al.(2020)Melo-Aguilar, González-Rouco,
García-Bustamante, Steinert, Jungclaus, Navarro, and
Roldan-Gómez</label><?label melo2019btpbiases?><mixed-citation>Melo-Aguilar, C., González-Rouco, J. F., García-Bustamante, E., Steinert, N., Jungclaus, J. H., Navarro, J., and Roldán-Gómez, P. J.: Methodological and physical biases in global to subcontinental borehole temperature reconstructions: an assessment from a pseudo-proxy perspective, Clim. Past, 16, 453–474, <ext-link xlink:href="https://doi.org/10.5194/cp-16-453-2020" ext-link-type="DOI">10.5194/cp-16-453-2020</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bibx68"><?xmltex \def\ref@label{{Mottaghy and Rath(2006)}}?><label>Mottaghy and Rath(2006)</label><?label mottaghy2006freezingbtps?><mixed-citation>Mottaghy, D. and Rath, V.: Latent heat effects in subsurface heat transport
modelling and their impact on palaeotemperature reconstructions, Geophys. J. Int., 164, 236–245, <ext-link xlink:href="https://doi.org/10.1111/j.1365-246X.2005.02843.x" ext-link-type="DOI">10.1111/j.1365-246X.2005.02843.x</ext-link>,
2006.</mixed-citation></ref>
      <?pagebreak page467?><ref id="bib1.bibx69"><?xmltex \def\ref@label{{{NOAA}(2019)}}?><label>NOAA(2019)</label><?label noaabtp?><mixed-citation>NOAA: Borehole Database at National Oceanic and Atmospheric Administration's  Server, available at:
<uri>https://www.ncdc.noaa.gov/data-access/paleoclimatology-data/datasets/borehole</uri>
last access: 1 September 2019.</mixed-citation></ref>
      <ref id="bib1.bibx70"><?xmltex \def\ref@label{{Oppenheimer et~al.(2021)Oppenheimer, Glavovic, Hinkel, van~de Wal,
Magnan, Abd-Elgawad, Cai, Cifuentes-Jara, DeConto, Ghosh, Hay, Isla,
Marzeion, Meyssignac, and Sebesvari}}?><label>Oppenheimer et al.(2021)Oppenheimer, Glavovic, Hinkel, van de Wal,
Magnan, Abd-Elgawad, Cai, Cifuentes-Jara, DeConto, Ghosh, Hay, Isla,
Marzeion, Meyssignac, and Sebesvari</label><?label ipccsrocc4?><mixed-citation>
Oppenheimer, M., Glavovic, B., Hinkel, J., van de Wal, R., Magnan, A.,
Abd-Elgawad, A., Cai, R., Cifuentes-Jara, M., DeConto, R., Ghosh, T., Hay,
J., Isla, F., Marzeion, B., Meyssignac, B., and Sebesvari, Z.: Sea Level
Riseand Implications for Low-Lying Islands, Coasts and Communities, in:
IPCC Special Report on the Ocean and Cryosphere in a Changing Climate,
edited by: Pörtner, H.-O., Roberts, D., Masson-Delmotte, V., Zhai, P.,  Tignor, M., Poloczanska, E., Mintenbeck, K., Alegría, A., Nicolai, M.,  Okem, A., Petzold, J., Rama, B., and Weyer, N., book section 4, pp. 321–446, in press, 2021.</mixed-citation></ref>
      <ref id="bib1.bibx71"><?xmltex \def\ref@label{{Palmer and McNeall(2014)}}?><label>Palmer and McNeall(2014)</label><?label palmer2014eeicmip5var?><mixed-citation>Palmer, M. D. and McNeall, D. J.: Internal variability of Earth's energy budget simulated by CMIP5 climate models, Environ. Res. Lett., 9,
034016, <ext-link xlink:href="https://doi.org/10.1088/1748-9326/9/3/034016" ext-link-type="DOI">10.1088/1748-9326/9/3/034016</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bibx72"><?xmltex \def\ref@label{{Palmer et~al.(2011)Palmer, McNeall, and
Dunstone}}?><label>Palmer et al.(2011)Palmer, McNeall, and
Dunstone</label><?label palmer2011eeideepohc?><mixed-citation>Palmer, M. D., McNeall, D. J., and Dunstone, N. J.: Importance of the deep
ocean for estimating decadal changes in Earth's radiation balance,
Geophysical Research Letters, 38, l13707, <ext-link xlink:href="https://doi.org/10.1029/2011GL047835" ext-link-type="DOI">10.1029/2011GL047835</ext-link>,
2011.</mixed-citation></ref>
      <ref id="bib1.bibx73"><?xmltex \def\ref@label{{Phalkey et~al.(2015)Phalkey, Aranda-Jan, Marx, H{\"{o}}fle, and
Sauerborn}}?><label>Phalkey et al.(2015)Phalkey, Aranda-Jan, Marx, Höfle, and
Sauerborn</label><?label phalkey2015ccundernutrition?><mixed-citation>Phalkey, R. K., Aranda-Jan, C., Marx, S., Höfle, B., and Sauerborn, R.:
Systematic review of current efforts to quantify the impacts of climate
change on undernutrition, P. Natl. Acad. Sci. USA,
112, E4522–E4529, <ext-link xlink:href="https://doi.org/10.1073/pnas.1409769112" ext-link-type="DOI">10.1073/pnas.1409769112</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx74"><?xmltex \def\ref@label{{Pickler et~al.(2016)Pickler, Beltrami, and
Mareschal}}?><label>Pickler et al.(2016)Pickler, Beltrami, and
Mareschal</label><?label pickler2016icesheet?><mixed-citation>Pickler, C., Beltrami, H., and Mareschal, J.-C.: Laurentide Ice Sheet basal temperatures during the last glacial cycle as inferred from borehole data, Clim. Past, 12, 115–127, <ext-link xlink:href="https://doi.org/10.5194/cp-12-115-2016" ext-link-type="DOI">10.5194/cp-12-115-2016</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx75"><?xmltex \def\ref@label{{Pickler et~al.(2018)Pickler, Gurza~Fausto, Beltrami, Mareschal,
Su\'{a}rez, Chacon-Oecklers, Blin, Cort\'{e}s~Calder\'{o}n, Montenegro, Harris, and
Tassara}}?><label>Pickler et al.(2018)Pickler, Gurza Fausto, Beltrami, Mareschal,
Suárez, Chacon-Oecklers, Blin, Cortés Calderón, Montenegro, Harris, and
Tassara</label><?label pickler2018borechile?><mixed-citation>Pickler, C., Gurza Fausto, E., Beltrami, H., Mareschal, J.-C., Suárez, F., Chacon-Oecklers, A., Blin, N., Cortés Calderón, M. T., Montenegro, A., Harris, R., and Tassara, A.: Recent climate variations in Chile: constraints from borehole temperature profiles, Clim. Past, 14, 559–575, <ext-link xlink:href="https://doi.org/10.5194/cp-14-559-2018" ext-link-type="DOI">10.5194/cp-14-559-2018</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bibx76"><?xmltex \def\ref@label{{Pollack and Smerdon(2004)}}?><label>Pollack and Smerdon(2004)</label><?label pollack2004borehole?><mixed-citation>Pollack, H. N. and Smerdon, J. E.: Borehole climate reconstructions: Spatial
structure and hemispheric averages, J. Geophys. Res.-Atmos., 109, d11106, <ext-link xlink:href="https://doi.org/10.1029/2003JD004163" ext-link-type="DOI">10.1029/2003JD004163</ext-link>,  2004.</mixed-citation></ref>
      <ref id="bib1.bibx77"><?xmltex \def\ref@label{{Pollack et~al.(1998)Pollack, Huang, and
Shen}}?><label>Pollack et al.(1998)Pollack, Huang, and
Shen</label><?label pollack1998globaltempbtps?><mixed-citation>Pollack, H. N., Huang, S., and Shen, P.-Y.: Climate Change Record in Subsurface Temperatures: A Global Perspective, Science, 282, 279–281,
<ext-link xlink:href="https://doi.org/10.1126/science.282.5387.279" ext-link-type="DOI">10.1126/science.282.5387.279</ext-link>, 1998.</mixed-citation></ref>
      <ref id="bib1.bibx78"><?xmltex \def\ref@label{{Rath et~al.(2012)Rath, Gonz\'{a}lez~Rouco, and
Goosse}}?><label>Rath et al.(2012)Rath, González Rouco, and
Goosse</label><?label rath2012lgcimpactgstreconst?><mixed-citation>Rath, V., González Rouco, J. F., and Goosse, H.: Impact of postglacial warming on borehole reconstructions of last millennium temperatures, Clim. Past, 8, 1059–1066, <ext-link xlink:href="https://doi.org/10.5194/cp-8-1059-2012" ext-link-type="DOI">10.5194/cp-8-1059-2012</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bibx79"><?xmltex \def\ref@label{{Reiter(2005)}}?><label>Reiter(2005)</label><?label reiter2005advectionbtps?><mixed-citation>Reiter, M.: Possible Ambiguities in Subsurface Temperature Logs: Consideration of Ground-water Flow and Ground Surface Temperature Change, Pure Appl. Geophys., 162, 343–355, <ext-link xlink:href="https://doi.org/10.1007/s00024-004-2604-4" ext-link-type="DOI">10.1007/s00024-004-2604-4</ext-link>, 2005.</mixed-citation></ref>
      <ref id="bib1.bibx80"><?xmltex \def\ref@label{{Riser et~al.(2016)Riser, Freeland, Roemmich, Wijffels, Troisi,
Belb{\'{e}}och, Gilbert, Xu, Pouliquen, Thresher, Le~Traon, Maze, Klein,
Ravichandran, Grant, Poulain, Suga, Lim, Sterl, Sutton, Mork,
V{\'{e}}lez-Belch{\'{\i}}, Ansorge, King, Turton, Baringer, and
Jayne}}?><label>Riser et al.(2016)Riser, Freeland, Roemmich, Wijffels, Troisi,
Belbéoch, Gilbert, Xu, Pouliquen, Thresher, Le Traon, Maze, Klein,
Ravichandran, Grant, Poulain, Suga, Lim, Sterl, Sutton, Mork,
Vélez-Belchí, Ansorge, King, Turton, Baringer, and
Jayne</label><?label riser201615yrargomeasurements?><mixed-citation>Riser, S. C., Freeland, H. J., Roemmich, D., Wijffels, S., Troisi, A.,
Belbéoch, M., Gilbert, D., Xu, J., Pouliquen, S., Thresher, A., Le Traon,
P.-Y., Maze, G., Klein, B., Ravichandran, M., Grant, F., Poulain, P.-M.,
Suga, T., Lim, B., Sterl, A., Sutton, P., Mork, K.-A., Vélez-Belchí,
P. J., Ansorge, I., King, B., Turton, J., Baringer, M., and Jayne, S. R.:
Fifteen years of ocean observations with the global Argo array, Nat.
Clim. Change, 6, 145–153, <ext-link xlink:href="https://doi.org/10.1038/nclimate2872" ext-link-type="DOI">10.1038/nclimate2872</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx81"><?xmltex \def\ref@label{{Rosenzweig et~al.(2014)Rosenzweig, Elliott, Deryng, Ruane,
M{\"{u}}ller, Arneth, Boote, Folberth, Glotter, Khabarov, Neumann, Piontek,
Pugh, Schmid, Stehfest, Yang, and Jones}}?><label>Rosenzweig et al.(2014)Rosenzweig, Elliott, Deryng, Ruane,
Müller, Arneth, Boote, Folberth, Glotter, Khabarov, Neumann, Piontek,
Pugh, Schmid, Stehfest, Yang, and Jones</label><?label rosenzweig2014ccaricultural?><mixed-citation>Rosenzweig, C., Elliott, J., Deryng, D., Ruane, A. C., Müller, C., Arneth,
A., Boote, K. J., Folberth, C., Glotter, M., Khabarov, N., Neumann, K.,
Piontek, F., Pugh, T. A. M., Schmid, E., Stehfest, E., Yang, H., and Jones,
J. W.: Assessing agricultural risks of climate change in the 21st century in
a global gridded crop model intercomparison, P. Natl.
Acad. Sci. USA, 111, 3268–3273, <ext-link xlink:href="https://doi.org/10.1073/pnas.1222463110" ext-link-type="DOI">10.1073/pnas.1222463110</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bibx82"><?xmltex \def\ref@label{{Roy et~al.(2002)Roy, Harris, Rao, and Chapman}}?><label>Roy et al.(2002)Roy, Harris, Rao, and Chapman</label><?label roy2002btpsindia?><mixed-citation>Roy, S., Harris, R. N., Rao, R. U. M., and Chapman, D. S.: Climate change in
India inferred from geothermal observations, J. Geophys. Res.-Sol. Ea., 107, 5-1–5-16, <ext-link xlink:href="https://doi.org/10.1029/2001JB000536" ext-link-type="DOI">10.1029/2001JB000536</ext-link>, 2002.</mixed-citation></ref>
      <ref id="bib1.bibx83"><?xmltex \def\ref@label{{Schurer et~al.(2017)Schurer, Mann, Hawkins, Tett, and
Hegerl}}?><label>Schurer et al.(2017)Schurer, Mann, Hawkins, Tett, and
Hegerl</label><?label schurer2017whatispreindustrial?><mixed-citation>Schurer, A. P., Mann, M. E., Hawkins, E., Tett, S. F. B., and Hegerl, G. C.:
Importance of the pre-industrial baseline for likelihood of exceeding Paris
goals, Nat. Clim. Change, 7, 563–567, <ext-link xlink:href="https://doi.org/10.1038/nclimate3345" ext-link-type="DOI">10.1038/nclimate3345</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx84"><?xmltex \def\ref@label{{Screen et~al.(2018)Screen, Deser, Smith, Zhang, Blackport, Kushner,
Oudar, McCusker, and Sun}}?><label>Screen et al.(2018)Screen, Deser, Smith, Zhang, Blackport, Kushner,
Oudar, McCusker, and Sun</label><?label screen2018atmosresponschc?><mixed-citation>Screen, J. A., Deser, C., Smith, D. M., Zhang, X., Blackport, R., Kushner,
P. J., Oudar, T., McCusker, K. E., and Sun, L.: Consistency and discrepancy
in the atmospheric response to Arctic sea-ice loss across climate models,
Nat. Geosci., 11, 155–163, <ext-link xlink:href="https://doi.org/10.1038/s41561-018-0059-y" ext-link-type="DOI">10.1038/s41561-018-0059-y</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bibx85"><?xmltex \def\ref@label{{Shen et~al.(1992)Shen, Wang, Beltrami, and
Mareschal}}?><label>Shen et al.(1992)Shen, Wang, Beltrami, and
Mareschal</label><?label shen1992comparisoninversionmethods?><mixed-citation>Shen, P., Wang, K., Beltrami, H., and Mareschal, J.-C.: A comparative study of inverse methods for estimating climatic history from borehole temperature
data, Global Planet. Change, 6, 113–127,
<ext-link xlink:href="https://doi.org/10.1016/0921-8181(92)90030-E" ext-link-type="DOI">10.1016/0921-8181(92)90030-E</ext-link>, 1992.</mixed-citation></ref>
      <ref id="bib1.bibx86"><?xmltex \def\ref@label{{Sherwood and Huber(2010)}}?><label>Sherwood and Huber(2010)</label><?label sherwood2010ccheatstress?><mixed-citation>Sherwood, S. C. and Huber, M.: An adaptability limit to climate change due to
heat stress, P. Natl. Acad. Sci. USA, 107,
9552–9555, <ext-link xlink:href="https://doi.org/10.1073/pnas.0913352107" ext-link-type="DOI">10.1073/pnas.0913352107</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bibx87"><?xmltex \def\ref@label{{Stephens et~al.(2012)Stephens, Li, Wild, Clayson, Loeb, Kato,
L'Ecuyer, Stackhouse, Lebsock, and Andrews}}?><label>Stephens et al.(2012)Stephens, Li, Wild, Clayson, Loeb, Kato,
L'Ecuyer, Stackhouse, Lebsock, and Andrews</label><?label stephens2012eei?><mixed-citation>Stephens, G. L., Li, J., Wild, M., Clayson, C. A., Loeb, N., Kato, S.,
L'Ecuyer, T., Stackhouse, P. W., Lebsock, M., and Andrews, T.: An update on
Earth's energy balance in light of the latest global observations, Nat.
Geosci., 5, 691–696, <ext-link xlink:href="https://doi.org/10.1038/ngeo1580" ext-link-type="DOI">10.1038/ngeo1580</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bibx88"><?xmltex \def\ref@label{{Stevens et~al.(2007)Stevens, Smerdon, Gonz{\'{a}}lez-Rouco, Stieglitz,
and Beltrami}}?><label>Stevens et al.(2007)Stevens, Smerdon, González-Rouco, Stieglitz,
and Beltrami</label><?label stevens2007effects?><mixed-citation>Stevens, M. B., Smerdon, J. E., González-Rouco, J. F., Stieglitz, M., and
Beltrami, H.: Effects of bottom boundary placement on subsurface heat
storage: Implications for climate model simulations, Geophys. Res.
Lett., 34, l02702, <ext-link xlink:href="https://doi.org/10.1029/2006GL028546" ext-link-type="DOI">10.1029/2006GL028546</ext-link>,  2007.</mixed-citation></ref>
      <ref id="bib1.bibx89"><?xmltex \def\ref@label{{Stevens et~al.(2008)Stevens, Gonz{\'{a}}lez-Rouco, and
Beltrami}}?><label>Stevens et al.(2008)Stevens, González-Rouco, and
Beltrami</label><?label stevens2008north?><mixed-citation>Stevens, M. B., González-Rouco, J. F., and Beltrami, H.: North American
climate of the last millennium: Underground temperatures and model
comparison, J. Geophys. Res.-Earth, 113, f01008,
<ext-link xlink:href="https://doi.org/10.1029/2006JF000705" ext-link-type="DOI">10.1029/2006JF000705</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bibx90"><?xmltex \def\ref@label{{Suman et~al.(2017)Suman, Dyer, and White}}?><label>Suman et al.(2017)Suman, Dyer, and White</label><?label suman2017btptasmania?><mixed-citation>Suman, A., Dyer, F., and White, D.: Late Holocene temperature variability in
Tasmania inferred from borehole temperature data, Clim. Past, 13,
559–572, <ext-link xlink:href="https://doi.org/10.5194/cp-13-559-2017" ext-link-type="DOI">10.5194/cp-13-559-2017</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx91"><?xmltex \def\ref@label{{Tomas et~al.(2016)Tomas, Deser, and
Sun}}?><label>Tomas et al.(2016)Tomas, Deser, and
Sun</label><?label tomas2016oceanatmoscirculation?><mixed-citation>Tomas, R. A., Deser, C., and Sun, L.: The Role of Ocean Heat Transport in the
Global Climate Response to Projected Arctic Sea Ice Loss, J. Climate,
29, 6841–6859, <ext-link xlink:href="https://doi.org/10.1175/JCLI-D-15-0651.1" ext-link-type="DOI">10.1175/JCLI-D-15-0651.1</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx92"><?xmltex \def\ref@label{{Trenberth et~al.(2019)Trenberth, Zhang, Fasullo, and
Cheng}}?><label>Trenberth et al.(2019)Trenberth, Zhang, Fasullo, and
Cheng</label><?label trenberth2019globalmht?><mixed-citation>Trenberth, K. E., Zhang, Y., Fasullo, J. T., and Cheng, L.: Observation-Based
Estimates of Global and Basin Ocean Meridional Heat Transport Time Series,
J. Climate, 32, 4567–4583, <ext-link xlink:href="https://doi.org/10.1175/JCLI-D-18-0872.1" ext-link-type="DOI">10.1175/JCLI-D-18-0872.1</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bibx93"><?xmltex \def\ref@label{{Turcotte and Schubert(2002)}}?><label>Turcotte and Schubert(2002)</label><?label turcotte1982geodynamics?><mixed-citation>
Turcotte, D. L. and Schubert, G.: Geodynamics, University Printing House, Shaftesbury Road, Cambridge, CB2 8BS, England, UK, 2002.</mixed-citation></ref>
      <ref id="bib1.bibx94"><?xmltex \def\ref@label{{University of East Anglia Climatic Research Unit et al.(2017)}}?><label>University of East Anglia Climatic Research Unit et al.(2017)</label><?label CRU2017?><mixed-citation>University of East Anglia Climatic Research Unit (CRU), Harris, I. C., and Jones, P. D.: CRU TS4.01: Clim<?pagebreak page468?>atic Research Unit (CRU) Time-Series (TS) version 4.01 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901–Dec. 2016), CEDA Archive, <ext-link xlink:href="https://doi.org/10/gcmcz3" ext-link-type="DOI">10/gcmcz3</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx95"><?xmltex \def\ref@label{{Vasseur et~al.(1983)Vasseur, Bernard, de~Meulebrouck, Kast, and
Jolivet}}?><label>Vasseur et al.(1983)Vasseur, Bernard, de Meulebrouck, Kast, and
Jolivet</label><?label vasseur1983breholeinversion?><mixed-citation>Vasseur, G., Bernard, P., de Meulebrouck, J. V., Kast, Y., and Jolivet, J.:
Holocene paleotemperatures deduced from geothermal measurements,
Palaeogeography, Palaeoclimatology, Palaeoecology, 43, 237–259,
<ext-link xlink:href="https://doi.org/10.1016/0031-0182(83)90013-5" ext-link-type="DOI">10.1016/0031-0182(83)90013-5</ext-link>, 1983.</mixed-citation></ref>
      <ref id="bib1.bibx96"><?xmltex \def\ref@label{{Vaughan et~al.(2013)Vaughan, Comiso, Allison, Carrasco, Kaser, Kwok,
Mote, Murray, Paul, Ren, Rignot, Solomina, Steffen, and Zhang}}?><label>Vaughan et al.(2013)Vaughan, Comiso, Allison, Carrasco, Kaser, Kwok,
Mote, Murray, Paul, Ren, Rignot, Solomina, Steffen, and Zhang</label><?label ipcc5chap4?><mixed-citation>Vaughan, D., Comiso, J., Allison, I., Carrasco, J., Kaser, G., Kwok, R., Mote,
P., Murray, T., Paul, F., Ren, J., Rignot, E., Solomina, O., Steffen, K., and  Zhang, T.: Observations: Cryosphere, in: Climate Change 2013: The Physical
Science Basis. Contribution of Working Group I to the Fifth Assessment Report
of the Intergovernmental Panel on Climate Change, edited by: Stocker, T., Qin,  D., Plattner, G.-K., Tignor, M., Allen, S., Boschung, J., Nauels, A., Xia,  Y., Bex, V., and Midgley, P., book section 4, 317–382, Cambridge
University Press, Cambridge, United Kingdom and New York, NY, USA,
<ext-link xlink:href="https://doi.org/10.1017/CBO9781107415324.012" ext-link-type="DOI">10.1017/CBO9781107415324.012</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bibx97"><?xmltex \def\ref@label{{von Schuckmann et~al.(2016)von Schuckmann, Palmer, Trenberth,
Cazenave, Chambers, Champollion, Hansen, Josey, Loeb, Mathieu, Meyssignac,
and Wild}}?><label>von Schuckmann et al.(2016)von Schuckmann, Palmer, Trenberth,
Cazenave, Chambers, Champollion, Hansen, Josey, Loeb, Mathieu, Meyssignac,
and Wild</label><?label schuckmann2016monitoreei?><mixed-citation>von Schuckmann, K., Palmer, M. D., Trenberth, K. E., Cazenave, A., Chambers,
D., Champollion, N., Hansen, J., Josey, S. A., Loeb, N., Mathieu, P. P.,
Meyssignac, B., and Wild, M.: An imperative to monitor Earth's energy
imbalance, Nat. Clim. Change, 6, 138–144,
<ext-link xlink:href="https://doi.org/10.1038/nclimate2876" ext-link-type="DOI">10.1038/nclimate2876</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx98"><?xmltex \def\ref@label{{von Schuckmann et~al.(2020)von Schuckmann, Cheng, Palmer, Hansen,
Tassone, Aich, Adusumilli, Beltrami, Boyer, Cuesta-Valero, Desbruy\`{e}res,
Domingues, Garc\'{\i}a-Garc\'{\i}a, Gentine, Gilson, Gorfer, Haimberger,
Ishii, Johnson, Killick, King, Kirchengast, Kolodziejczyk, Lyman, Marzeion,
Mayer, Monier, Monselesan, Purkey, Roemmich, Schweiger, Seneviratne,
Shepherd, Slater, Steiner, Straneo, Timmermans, and
Wijffels}}?><label>von Schuckmann et al.(2020)von Schuckmann, Cheng, Palmer, Hansen,
Tassone, Aich, Adusumilli, Beltrami, Boyer, Cuesta-Valero, Desbruyères,
Domingues, García-García, Gentine, Gilson, Gorfer, Haimberger,
Ishii, Johnson, Killick, King, Kirchengast, Kolodziejczyk, Lyman, Marzeion,
Mayer, Monier, Monselesan, Purkey, Roemmich, Schweiger, Seneviratne,
Shepherd, Slater, Steiner, Straneo, Timmermans, and
Wijffels</label><?label schuckmann2020ehi?><mixed-citation>von Schuckmann, K., Cheng, L., Palmer, M. D., Hansen, J., Tassone, C., Aich, V., Adusumilli, S., Beltrami, H., Boyer, T., Cuesta-Valero, F. J., Desbruyères, D., Domingues, C., García-García, A., Gentine, P., Gilson, J., Gorfer, M., Haimberger, L., Ishii, M., Johnson, G. C., Killick, R., King, B. A., Kirchengast, G., Kolodziejczyk, N., Lyman, J., Marzeion, B., Mayer, M., Monier, M., Monselesan, D. P., Purkey, S., Roemmich, D., Schweiger, A., Seneviratne, S. I., Shepherd, A., Slater, D. A., Steiner, A. K., Straneo, F., Timmermans, M.-L., and Wijffels, S. E.: Heat stored in the Earth system: where does the energy go?, Earth Syst. Sci. Data, 12, 2013–2041, <ext-link xlink:href="https://doi.org/10.5194/essd-12-2013-2020" ext-link-type="DOI">10.5194/essd-12-2013-2020</ext-link>, 2020.
</mixed-citation></ref><?xmltex \hack{\newpage}?>
      <ref id="bib1.bibx99"><?xmltex \def\ref@label{{Wang and Bras(1999)}}?><label>Wang and Bras(1999)</label><?label wang1999ghffromgst?><mixed-citation>Wang, J. and Bras, R.: Ground heat flux estimated from surface soil
temperature, J. Hydrol., 216, 214–226,
<ext-link xlink:href="https://doi.org/10.1016/S0022-1694(99)00008-6" ext-link-type="DOI">10.1016/S0022-1694(99)00008-6</ext-link>, 1999.</mixed-citation></ref>
      <ref id="bib1.bibx100"><?xmltex \def\ref@label{{Watts et~al.(2019)Watts, Amann, Arnell, Ayeb-Karlsson, Belesova,
Boykoff, Byass, Cai, Campbell-Lendrum, Capstick, Chambers, Dalin, Daly,
Dasandi, Davies, Drummond, Dubrow, Ebi, Eckelman, Ekins, Escobar,
Fernandez~Montoya, Georgeson, Graham, Haggar, Hamilton, Hartinger, Hess,
Kelman, Kiesewetter, Kjellstrom, Kniveton, Lemke, Liu, Lott, Lowe, Sewe,
Martinez-Urtaza, Maslin, McAllister, McGushin, Jankin~Mikhaylov, Milner,
Moradi-Lakeh, Morrissey, Murray, Munzert, Nilsson, Neville, Oreszczyn, Owfi,
Pearman, Pencheon, Phung, Pye, Quinn, Rabbaniha, Robinson, Rockl{\"{o}}v,
Semenza, Sherman, Shumake-Guillemot, Tabatabaei, Taylor, Trinanes, Wilkinson,
Costello, Gong, and Montgomery}}?><label>Watts et al.(2019)Watts, Amann, Arnell, Ayeb-Karlsson, Belesova,
Boykoff, Byass, Cai, Campbell-Lendrum, Capstick, Chambers, Dalin, Daly,
Dasandi, Davies, Drummond, Dubrow, Ebi, Eckelman, Ekins, Escobar,
Fernandez Montoya, Georgeson, Graham, Haggar, Hamilton, Hartinger, Hess,
Kelman, Kiesewetter, Kjellstrom, Kniveton, Lemke, Liu, Lott, Lowe, Sewe,
Martinez-Urtaza, Maslin, McAllister, McGushin, Jankin Mikhaylov, Milner,
Moradi-Lakeh, Morrissey, Murray, Munzert, Nilsson, Neville, Oreszczyn, Owfi,
Pearman, Pencheon, Phung, Pye, Quinn, Rabbaniha, Robinson, Rocklöv,
Semenza, Sherman, Shumake-Guillemot, Tabatabaei, Taylor, Trinanes, Wilkinson,
Costello, Gong, and Montgomery</label><?label watts2019healthcc?><mixed-citation>Watts, N., Amann, M., Arnell, N., Ayeb-Karlsson, S., Belesova, K., Boykoff, M.,
Byass, P., Cai, W., Campbell-Lendrum, D., Capstick, S., Chambers, J., Dalin,
C., Daly, M., Dasandi, N., Davies, M., Drummond, P., Dubrow, R., Ebi, K. L.,
Eckelman, M., Ekins, P., Escobar, L. E., Fernandez Montoya, L., Georgeson,
L., Graham, H., Haggar, P., Hamilton, I., Hartinger, S., Hess, J., Kelman,
I., Kiesewetter, G., Kjellstrom, T., Kniveton, D., Lemke, B., Liu, Y., Lott,
M., Lowe, R., Sewe, M. O., Martinez-Urtaza, J., Maslin, M., McAllister, L.,
McGushin, A., Jankin Mikhaylov, S., Milner, J., Moradi-Lakeh, M., Morrissey,
K., Murray, K., Munzert, S., Nilsson, M., Neville, T., Oreszczyn, T., Owfi,
F., Pearman, O., Pencheon, D., Phung, D., Pye, S., Quinn, R., Rabbaniha, M.,
Robinson, E., Rocklöv, J., Semenza, J. C., Sherman, J.,
Shumake-Guillemot, J., Tabatabaei, M., Taylor, J., Trinanes, J., Wilkinson,
P., Costello, A., Gong, P., and Montgomery, H.: The 2019 report of The
Lancet Countdown on health and climate change: ensuring that the health of a child born today is not defined by a changing climate, Lancet, 394,
1836–1878, <ext-link xlink:href="https://doi.org/10.1016/S0140-6736(19)32596-6" ext-link-type="DOI">10.1016/S0140-6736(19)32596-6</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bibx101"><?xmltex \def\ref@label{{Wu et~al.(2016)Wu, Lu, Zhou, Chen, and Xu}}?><label>Wu et al.(2016)Wu, Lu, Zhou, Chen, and Xu</label><?label wu2016ccinfectdisea?><mixed-citation>Wu, X., Lu, Y., Zhou, S., Chen, L., and Xu, B.: Impact of climate change on
human infectious diseases: Empirical evidence and human adaptation,
Environ. Int., 86, 14–23,
<ext-link xlink:href="https://doi.org/10.1016/j.envint.2015.09.007" ext-link-type="DOI">10.1016/j.envint.2015.09.007</ext-link>, 2016.</mixed-citation></ref>

  </ref-list></back>
    <!--<article-title-html>Long-term global ground heat flux and continental heat storage from geothermal data</article-title-html>
<abstract-html><p>Energy exchanges among climate subsystems are of critical importance to determine the climate sensitivity of the Earth's system to greenhouse gases, to quantify the magnitude and evolution of the Earth's energy imbalance, and to project the evolution of future climate. Thus, ascertaining the magnitude of and change in the Earth's energy partition within climate subsystems has become urgent in recent years. Here, we provide new global estimates of changes in ground surface temperature, ground surface heat flux, and continental heat storage derived from geothermal data using an expanded database and new techniques. Results reveal markedly higher changes in ground heat flux and heat storage within the continental subsurface than previously reported, with land temperature changes of 1&thinsp;K and continental heat gains of around 12&thinsp;ZJ during the last part of the 20th century relative to preindustrial times. Half of the heat gain by the continental subsurface since 1960 has occurred in the last 20 years.</p></abstract-html>
<ref-html id="bib1.bib1"><label>Barkaoui et al.(2013)Barkaoui, Correia, Zarhloule, Rimi, Carneiro,
Boughriba, and Verdoya</label><mixed-citation>
Barkaoui, A. E., Correia, A., Zarhloule, Y., Rimi, A., Carneiro, J., Boughriba,  M., and Verdoya, M.: Reconstruction of remote climate change from borehole  temperature measurement in the eastern part of Morocco, Climatic Change, 118,  431–441, <a href="https://doi.org/10.1007/s10584-012-0638-7" target="_blank">https://doi.org/10.1007/s10584-012-0638-7</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib2"><label>Beck(1977)</label><mixed-citation>
Beck, A.: Climatically perturbed temperature gradients and their effect on
regional and continental heat-flow means, Tectonophysics, 41, 17–39,
<a href="https://doi.org/10.1016/0040-1951(77)90178-0" target="_blank">https://doi.org/10.1016/0040-1951(77)90178-0</a>, 1977.
</mixed-citation></ref-html>
<ref-html id="bib1.bib3"><label>Beltrami(2001)</label><mixed-citation>
Beltrami, H.: Surface heat flux histories from inversion of geothermal data:
Energy balance at the Earth's surface, J. Geophys. Res.-Sol. Ea., 106, 21979–21993, <a href="https://doi.org/10.1029/2000JB000065" target="_blank">https://doi.org/10.1029/2000JB000065</a>, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib4"><label>Beltrami(2002a)</label><mixed-citation>
Beltrami, H.: Climate from borehole data: Energy fluxes and temperatures since  1500, Geophys. Res. Lett., 29, 26-1–26-4,
<a href="https://doi.org/10.1029/2002GL015702" target="_blank">https://doi.org/10.1029/2002GL015702</a>, 2002a.
</mixed-citation></ref-html>
<ref-html id="bib1.bib5"><label>Beltrami(2002b)</label><mixed-citation>
Beltrami, H.: Earth's Long-Term Memory, Science, 297, 206–207,  <a href="https://doi.org/10.1126/science.1074027" target="_blank">https://doi.org/10.1126/science.1074027</a>, 2002b.
</mixed-citation></ref-html>
<ref-html id="bib1.bib6"><label>Beltrami and Bourlon(2004)</label><mixed-citation>
Beltrami, H. and Bourlon, E.: Ground warming patterns in the Northern
Hemisphere during the last five centuries, Earth Planet. Sc.
Lett., 227, 169–177, <a href="https://doi.org/10.1016/j.epsl.2004.09.014" target="_blank">https://doi.org/10.1016/j.epsl.2004.09.014</a>,
2004.
</mixed-citation></ref-html>
<ref-html id="bib1.bib7"><label>Beltrami et al.(1992)Beltrami, Jessop, and
Mareschal</label><mixed-citation>
Beltrami, H., Jessop, A. M., and Mareschal, J.-C.: Ground temperature histories in eastern and central Canada from geothermal measurements: evidence of  climatic change, Global Planet. Change, 6, 167–183,
<a href="https://doi.org/10.1016/0921-8181(92)90033-7" target="_blank">https://doi.org/10.1016/0921-8181(92)90033-7</a>, 1992.
</mixed-citation></ref-html>
<ref-html id="bib1.bib8"><label>Beltrami et al.(2002)Beltrami, Smerdon, Pollack, and
Huang</label><mixed-citation>
Beltrami, H., Smerdon, J. E., Pollack, H. N., and Huang, S.: Continental heat
gain in the global climate system, Geophys. Res. Lett., 29,
8-1–8-3, <a href="https://doi.org/10.1029/2001GL014310" target="_blank">https://doi.org/10.1029/2001GL014310</a>, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib9"><label>Beltrami et al.(2006)Beltrami, Bourlon, Kellman, and
González-Rouco</label><mixed-citation>
Beltrami, H., Bourlon, E., Kellman, L., and González-Rouco, J. F.: Spatial patterns of ground heat gain in the Northern Hemisphere, Geophys. Res. Lett., 33, l06717, <a href="https://doi.org/10.1029/2006GL025676" target="_blank">https://doi.org/10.1029/2006GL025676</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib10"><label>Beltrami et al.(2015a)Beltrami, Matharoo, and
Smerdon</label><mixed-citation>
Beltrami, H., Matharoo, G. S., and Smerdon, J. E.: Ground surface temperature
and continental heat gain: uncertainties from underground, Environ.
Res. Lett., 10, 014009, <a href="https://doi.org/10.1088/1748-9326/10/1/014009" target="_blank">https://doi.org/10.1088/1748-9326/10/1/014009</a>,
2015a.
</mixed-citation></ref-html>
<ref-html id="bib1.bib11"><label>Beltrami et al.(2015b)Beltrami, Matharoo, and
Smerdon</label><mixed-citation>
Beltrami, H., Matharoo, G. S., and Smerdon, J. E.: Impact of borehole depths on
reconstructed estimates of ground surface temperature histories and energy
storage, J. Geophys. Res.-Earth, 120, 763–778,
<a href="https://doi.org/10.1002/2014JF003382" target="_blank">https://doi.org/10.1002/2014JF003382</a>, 2014JF003382, 2015b.
</mixed-citation></ref-html>
<ref-html id="bib1.bib12"><label>Beltrami et al.(2017)Beltrami, Matharoo, Smerdon, Illanes, and
Tarasov</label><mixed-citation>
Beltrami, H., Matharoo, G. S., Smerdon, J. E., Illanes, L., and Tarasov, L.:
Impacts of the Last Glacial Cycle on ground surface temperature
reconstructions over the last millennium, Geophys. Res. Lett., 44,
355–364, <a href="https://doi.org/10.1002/2016GL071317" target="_blank">https://doi.org/10.1002/2016GL071317</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib13"><label>Bodri and Cermak(2005)</label><mixed-citation>
Bodri, L. and Cermak, V.: Borehole temperatures, climate change and the
pre-observational surface air temperature mean: allowance for hydraulic
conditions, Global Planet. Change, 45, 265–276,
<a href="https://doi.org/10.1016/j.gloplacha.2004.09.001" target="_blank">https://doi.org/10.1016/j.gloplacha.2004.09.001</a>, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib14"><label>Bullard and Schonland(1939)</label><mixed-citation>
Bullard, E. C. and Schonland, B. F. J.: Heat flow in South Africa, P. Roy. Soc. Lond. A Mat., 173, 474–502, <a href="https://doi.org/10.1098/rspa.1939.0159" target="_blank">https://doi.org/10.1098/rspa.1939.0159</a>,1939.
</mixed-citation></ref-html>
<ref-html id="bib1.bib15"><label>Campbell et al.(2016)Campbell, Vermeulen, Aggarwal, Corner-Dolloff,
Girvetz, Loboguerrero, Ramirez-Villegas, Rosenstock, Sebastian, Thornton, and
Wollenberg</label><mixed-citation>
Campbell, B. M., Vermeulen, S. J., Aggarwal, P. K., Corner-Dolloff, C.,
Girvetz, E., Loboguerrero, A. M., Ramirez-Villegas, J., Rosenstock, T.,
Sebastian, L., Thornton, P. K., and Wollenberg, E.: Reducing risks to food
security from climate change, Global Food Security, 11, 34–43,
<a href="https://doi.org/10.1016/j.gfs.2016.06.002" target="_blank">https://doi.org/10.1016/j.gfs.2016.06.002</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib16"><label>Carslaw and Jaeger(1959)</label><mixed-citation>
Carslaw, H. and Jaeger, J.: Conduction of Heat in Solids, Clarendon Press, Oxford, 1959.
</mixed-citation></ref-html>
<ref-html id="bib1.bib17"><label>Cermak(1971)</label><mixed-citation>
Cermak, V.: Underground temperature and inferred climatic temperature of the
past millenium, Palaeogeography, Palaeoclimatology, Palaeoecology, 10, 1–19,  <a href="https://doi.org/10.1016/0031-0182(71)90043-5" target="_blank">https://doi.org/10.1016/0031-0182(71)90043-5</a>, 1971.
</mixed-citation></ref-html>
<ref-html id="bib1.bib18"><label>Cheng et al.(2017)Cheng, Trenberth, Fasullo, Boyer, Abraham, and
Zhu</label><mixed-citation>
Cheng, L., Trenberth, K. E., Fasullo, J., Boyer, T., Abraham, J., and Zhu, J.:  Improved estimates of ocean heat content from 1960 to 2015, Sci. Adv.,
3, e1601545, <a href="https://doi.org/10.1126/sciadv.1601545" target="_blank">https://doi.org/10.1126/sciadv.1601545</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib19"><label>Cheng et al.(2019)Cheng, Abraham, Hausfather, and
Trenberth</label><mixed-citation>
Cheng, L., Abraham, J., Hausfather, Z., and Trenberth, K. E.: How fast are the  oceans warming?, Science, 363, 128–129, <a href="https://doi.org/10.1126/science.aav7619" target="_blank">https://doi.org/10.1126/science.aav7619</a>, 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib20"><label>Chouinard and Mareschal(2009)</label><mixed-citation>
Chouinard, C. and Mareschal, J.-C.: Ground surface temperature history in
southern Canada: Temperatures at the base of the Laurentide ice sheet and
during the Holocene, Earth Planet. Sci. Lett., 277, 280–289,
<a href="https://doi.org/10.1016/j.epsl.2008.10.026" target="_blank">https://doi.org/10.1016/j.epsl.2008.10.026</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib21"><label>Church et al.(2011)Church, White, Konikow, Domingues, Cogley, Rignot,
Gregory, van den Broeke, Monaghan, and
Velicogna</label><mixed-citation>
Church, J. A., White, N. J., Konikow, L. F., Domingues, C. M., Cogley, J. G.,
Rignot, E., Gregory, J. M., van den Broeke, M. R., Monaghan, A. J., and
Velicogna, I.: Revisiting the Earth's sea-level and energy budgets from 1961  to 2008, Geophys. Res. Lett., 38, l18601,
<a href="https://doi.org/10.1029/2011GL048794" target="_blank">https://doi.org/10.1029/2011GL048794</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib22"><label>Clauser and Mareschal(1995)</label><mixed-citation>
Clauser, C. and Mareschal, J.-C.: Ground temperature history in central Europe from borehole temperature data, Geophys. J. Int., 121, 805–817, <a href="https://doi.org/10.1111/j.1365-246X.1995.tb06440.x" target="_blank">https://doi.org/10.1111/j.1365-246X.1995.tb06440.x</a>, 1995.
</mixed-citation></ref-html>
<ref-html id="bib1.bib23"><label>Collins et al.(2011)Collins, Booth, Bhaskaran, Harris, Murphy,
Sexton, and Webb</label><mixed-citation>
Collins, M., Booth, B. B. B., Bhaskaran, B., Harris, G. R., Murphy, J. M.,
Sexton, D. M. H., and Webb, M. J.: Climate model errors, feedbacks and
forcings: a comparison of perturbed physics and multi-model ensembles,
Clim. Dyn., 36, 1737–1766, <a href="https://doi.org/10.1007/s00382-010-0808-0" target="_blank">https://doi.org/10.1007/s00382-010-0808-0</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib24"><label>Cuesta-Valero et al.(2016)Cuesta-Valero, García-García,
Beltrami, and Smerdon</label><mixed-citation>
Cuesta-Valero, F. J., García-García, A., Beltrami, H., and Smerdon,
J. E.: First assessment of continental energy storage in CMIP5 simulations,
Geophys. Res. Lett., 43, 2016GL068496, <a href="https://doi.org/10.1002/2016GL068496" target="_blank">https://doi.org/10.1002/2016GL068496</a>,
2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib25"><label>Cuesta-Valero et al.(2019)Cuesta-Valero, García-García,
Beltrami, Zorita, and Jaume-Santero</label><mixed-citation>
Cuesta-Valero, F. J., García-García, A., Beltrami, H., Zorita, E., and Jaume-Santero, F.: Long-term Surface Temperature (LoST) database as a complement for GCM preindustrial simulations, Clim. Past, 15, 1099–1111, <a href="https://doi.org/10.5194/cp-15-1099-2019" target="_blank">https://doi.org/10.5194/cp-15-1099-2019</a>, 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib26"><label>Cuesta-Valero et al.(2021)</label><mixed-citation>
Cuesta-Valero, F. J., Beltrami, H., García-García, A., González-Rourco, J. F., and García-Bustamante, E.: Xibalbá: Underground Temperature Database, Figshare, <a href="https://doi.org/https://doi.org/10.6084/m9.figshare.13516487" target="_blank">https://doi.org/https://doi.org/10.6084/m9.figshare.13516487</a>, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib27"><label>Davis et al.(2010)Davis, Harris, and Chapman</label><mixed-citation>
Davis, M. G., Harris, R. N., and Chapman, D. S.: Repeat temperature
measurements in boreholes from northwestern Utah link ground and air
temperature changes at the decadal time scale, J. Geophys.
Res.-Sol. Ea., 115, B05203, <a href="https://doi.org/10.1029/2009JB006875" target="_blank">https://doi.org/10.1029/2009JB006875</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib28"><label>Demezhko and Gornostaeva(2015)</label><mixed-citation>
Demezhko, D. Y. and Gornostaeva, A. A.: Late Pleistocene–Holocene ground surface heat flux changes reconstructed from borehole temperature data (the Urals, Russia), Clim. Past, 11, 647–652, <a href="https://doi.org/10.5194/cp-11-647-2015" target="_blank">https://doi.org/10.5194/cp-11-647-2015</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib29"><label>Dutton et al.(2015)Dutton, Carlson, Long, Milne, Clark, DeConto,
Horton, Rahmstorf, and Raymo</label><mixed-citation>
Dutton, A., Carlson, A. E., Long, A. J., Milne, G. A., Clark, P. U., DeConto,
R., Horton, B. P., Rahmstorf, S., and Raymo, M. E.: Sea-level rise due to
polar ice-sheet mass loss during past warm periods, Science, 349, aaa4019,
<a href="https://doi.org/10.1126/science.aaa4019" target="_blank">https://doi.org/10.1126/science.aaa4019</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib30"><label>Fernández-Donado et al.(2013)Fernández-Donado, González-Rouco,
Raible, Ammann, Barriopedro, García-Bustamante, Jungclaus, Lorenz,
Luterbacher, Phipps, Servonnat, Swingedouw, Tett, Wagner, Yiou, and
Zorita</label><mixed-citation>
Fernández-Donado, L., González-Rouco, J. F., Raible, C. C., Ammann, C. M., Barriopedro, D., García-Bustamante, E., Jungclaus, J. H., Lorenz, S. J., Luterbacher, J., Phipps, S. J., Servonnat, J., Swingedouw, D., Tett, S. F. B., Wagner, S., Yiou, P., and Zorita, E.: Large-scale temperature response to external forcing in simulations and reconstructions of the last millennium, Clim. Past, 9, 393–421, <a href="https://doi.org/10.5194/cp-9-393-2013" target="_blank">https://doi.org/10.5194/cp-9-393-2013</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib31"><label>García-García et al.(2016)García-García,
Cuesta-Valero, Beltrami, and Smerdon</label><mixed-citation>
García-García, A., Cuesta-Valero, F. J., Beltrami, H., and Smerdon,
J. E.: Simulation of air and ground temperatures in PMIP3/CMIP5 last
millennium simulations: implications for climate reconstructions from
borehole temperature profiles, Environ. Res. Lett., 11, 044022,
<a href="https://doi.org/10.1088/1748-9326/11/4/044022" target="_blank">https://doi.org/10.1088/1748-9326/11/4/044022</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib32"><label>Gleckler et al.(2016)Gleckler, Durack, Stouffer, Johnson, and
Forest</label><mixed-citation>
Gleckler, P. J., Durack, P. J., Stouffer, R. J., Johnson, G. C., and Forest,
C. E.: Industrial-era global ocean heat uptake doubles in recent decades,
Nat. Clim. Change, 6, 394–398,
<a href="https://doi.org/10.1038/nclimate2915" target="_blank">https://doi.org/10.1038/nclimate2915</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib33"><label>González-Rouco et al.(2006)González-Rouco, Beltrami, Zorita,
and von Storch</label><mixed-citation>
González-Rouco, J. F., Beltrami, H., Zorita, E., and von Storch, H.:
Simulation and inversion of borehole temperature profiles in surrogate
climates: Spatial distribution and surface coupling, Geophys. Res.
Lett., 33, l01703, <a href="https://doi.org/10.1029/2005GL024693" target="_blank">https://doi.org/10.1029/2005GL024693</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib34"><label>González-Rouco et al.(2009)González-Rouco, Beltrami, Zorita, and
Stevens</label><mixed-citation>
González-Rouco, J. F., Beltrami, H., Zorita, E., and Stevens, M. B.: Borehole climatology: a discussion based on contributions from climate modeling, Clim. Past, 5, 97–127, <a href="https://doi.org/10.5194/cp-5-97-2009" target="_blank">https://doi.org/10.5194/cp-5-97-2009</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib35"><label>Hansen et al.(2011)Hansen, Sato, Kharecha, and
Schuckmann</label><mixed-citation>
Hansen, J., Sato, M., Kharecha, P., and von Schuckmann, K.: Earth's energy imbalance and implications, Atmos. Chem. Phys., 11, 13421–13449, <a href="https://doi.org/10.5194/acp-11-13421-2011" target="_blank">https://doi.org/10.5194/acp-11-13421-2011</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib36"><label>Harris et al.(2014)Harris, Jones, Osborn, and
Lister</label><mixed-citation>
Harris, I., Jones, P., Osborn, T., and Lister, D.: Updated high-resolution
grids of monthly climatic observations – the CRU TS3.10 Dataset,
Int. J. Clim., 34, 623–642, <a href="https://doi.org/10.1002/joc.3711" target="_blank">https://doi.org/10.1002/joc.3711</a>,
2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib37"><label>Harris and Chapman(2001)</label><mixed-citation>
Harris, R. N. and Chapman, D. S.: Mid-latitude (30°–60°
N) climatic warming inferred by combining borehole temperatures with surface air temperatures, Geophys. Res. Lett., 28, 747–750,
<a href="https://doi.org/10.1029/2000GL012348" target="_blank">https://doi.org/10.1029/2000GL012348</a>, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib38"><label>Harrison et al.(2015)Harrison, Bartlein, Izumi, Li, Annan,
Hargreaves, Braconnot, and Kageyama</label><mixed-citation>
Harrison, S. P., Bartlein, P. J., Izumi, K., Li, G., Annan, J., Hargreaves, J., Braconnot, P., and Kageyama, M.: Evaluation of CMIP5 palaeo-simulations to  improve climate projections, Nat. Clim. Change, 5, 735–743,
<a href="https://doi.org/10.1038/nclimate2649" target="_blank">https://doi.org/10.1038/nclimate2649</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib39"><label>Hartmann and Rath(2005)</label><mixed-citation>
Hartmann, A. and Rath, V.: Uncertainties and shortcomings of ground surface
temperature histories derived from inversion of temperature logs, J.  Geophys. Eng., 2, 299–311, <a href="https://doi.org/10.1088/1742-2132/2/4/S02" target="_blank">https://doi.org/10.1088/1742-2132/2/4/S02</a>,
2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib40"><label>Hawkins et al.(2017)Hawkins, Ortega, Suckling, Schurer, Hegerl,
Jones, Joshi, Osborn, Masson-Delmotte, Mignot, Thorne, and van
Oldenborgh</label><mixed-citation>
Hawkins, E., Ortega, P., Suckling, E., Schurer, A., Hegerl, G., Jones, P.,
Joshi, M., Osborn, T. J., Masson-Delmotte, V., Mignot, J., Thorne, P., and
van Oldenborgh, G. J.: Estimating Changes in Global Temperature since the
Preindustrial Period, B. Am. Meteorol. Soc., 98,
1841–1856, <a href="https://doi.org/10.1175/BAMS-D-16-0007.1" target="_blank">https://doi.org/10.1175/BAMS-D-16-0007.1</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib41"><label>Hicks Pries et al.(2017)Hicks Pries, Castanha, Porras, and
Torn</label><mixed-citation>
Hicks Pries, C. E., Castanha, C., Porras, R. C., and Torn, M. S.: The
whole-soil carbon flux in response to warming, Science, 355, 1420–1423,
<a href="https://doi.org/10.1126/science.aal1319" target="_blank">https://doi.org/10.1126/science.aal1319</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib42"><label>Hopcroft et al.(2007)Hopcroft, Gallagher, and
Pain</label><mixed-citation>
Hopcroft, P. O., Gallagher, K., and Pain, C. C.: Inference of past climate from borehole temperature data using Bayesian Reversible Jump Markov chain Monte  Carlo, Geophys. J. Int., 171, 1430–1439,
<a href="https://doi.org/10.1111/j.1365-246X.2007.03596.x" target="_blank">https://doi.org/10.1111/j.1365-246X.2007.03596.x</a>, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib43"><label>Huang et al.(2000)Huang, Pollack, and Shen</label><mixed-citation>
Huang, S., Pollack, H. N., and Shen, P.-Y.: Temperature trends over the past
five centuries reconstructed from borehole temperatures, Nature, 403,
756–758, <a href="https://doi.org/10.1038/35001556" target="_blank">https://doi.org/10.1038/35001556</a>, 2000.
</mixed-citation></ref-html>
<ref-html id="bib1.bib44"><label>Irving et al.(2019)Irving, Wijffels, and
Church</label><mixed-citation>
Irving, D. B., Wijffels, S., and Church, J. A.: Anthropogenic Aerosols,
Greenhouse Gases, and the Uptake, Transport, and Storage of Excess Heat in
the Climate System, Geophys. Res. Lett., 46, 4894–4903,
<a href="https://doi.org/10.1029/2019GL082015" target="_blank">https://doi.org/10.1029/2019GL082015</a>, 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib45"><label>Jacob et al.(2012)Jacob, Wahr, Pfeffer, and
Swenson</label><mixed-citation>
Jacob, T., Wahr, J., Pfeffer, W. T., and Swenson, S.: Recent contributions of
glaciers and ice caps to sea level rise, Nature, 482, 514–518,
<a href="https://doi.org/10.1038/nature10847" target="_blank">https://doi.org/10.1038/nature10847</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib46"><label>Jaume-Santero et al.(2016)Jaume-Santero, Pickler, Beltrami, and
Mareschal</label><mixed-citation>
Jaume-Santero, F., Pickler, C., Beltrami, H., and Mareschal, J.-C.: North American regional climate reconstruction from ground surface temperature histories, Clim. Past, 12, 2181–2194, <a href="https://doi.org/10.5194/cp-12-2181-2016" target="_blank">https://doi.org/10.5194/cp-12-2181-2016</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib47"><label>Johnson et al.(2016)Johnson, Lyman, and Loeb</label><mixed-citation>
Johnson, G. C., Lyman, J. M., and Loeb, N. G.: Improving estimates of Earth's
energy imbalance, Nat. Clim. Change, 6, 639,
<a href="https://doi.org/10.1038/nclimate3043" target="_blank">https://doi.org/10.1038/nclimate3043</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib48"><label>Knutti et al.(2017)Knutti, Sedláček, Sanderson, Lorenz,
Fischer, and Eyring</label><mixed-citation>
Knutti, R., Sedláček, J., Sanderson, B. M., Lorenz, R., Fischer,
E. M., and Eyring, V.: A climate model projection weighting scheme accounting for performance and interdependence, Geophys. Res. Lett., 44,
1909–1918, <a href="https://doi.org/10.1002/2016GL072012" target="_blank">https://doi.org/10.1002/2016GL072012</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib49"><label>Kundzewicz et al.(2014)Kundzewicz, Kanae, Seneviratne, Handmer,
Nicholls, Peduzzi, Mechler, Bouwer, Arnell, Mach, Muir-Wood, Brakenridge,
Kron, Benito, Honda, Takahashi, and Sherstyukov</label><mixed-citation>
Kundzewicz, Z. W., Kanae, S., Seneviratne, S. I., Handmer, J., Nicholls, N.,
Peduzzi, P., Mechler, R., Bouwer, L. M., Arnell, N., Mach, K., Muir-Wood, R.,
Brakenridge, G. R., Kron, W., Benito, G., Honda, Y., Takahashi, K., and
Sherstyukov, B.: Flood risk and climate change: global and regional
perspectives, Hydrol. Sci. J., 59, 1–28,
<a href="https://doi.org/10.1080/02626667.2013.857411" target="_blank">https://doi.org/10.1080/02626667.2013.857411</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib50"><label>Lachenbruch and Marshall(1986)</label><mixed-citation>
Lachenbruch, A. H. and Marshall, B. V.: Changing Climate: Geothermal Evidence
from Permafrost in the Alaskan Arctic, Science, 234, 689–696,
<a href="https://doi.org/10.1126/science.234.4777.689" target="_blank">https://doi.org/10.1126/science.234.4777.689</a>, 1986.
</mixed-citation></ref-html>
<ref-html id="bib1.bib51"><label>Lanczos(1961)</label><mixed-citation>
Lanczos, C.: Linear differential operators, Van Nostrand, New York, 1961.
</mixed-citation></ref-html>
<ref-html id="bib1.bib52"><label>Lane(1923)</label><mixed-citation>
Lane, A. C.: Geotherms of Lake Superior Copper Country, GSA Bull., 34,
703–720, <a href="https://doi.org/10.1130/GSAB-34-703" target="_blank">https://doi.org/10.1130/GSAB-34-703</a>, 1923.
</mixed-citation></ref-html>
<ref-html id="bib1.bib53"><label>Lembo et al.(2019)Lembo, Folini, Wild, and
Lionello</label><mixed-citation>
Lembo, V., Folini, D., Wild, M., and Lionello, P.: Inter-hemispheric
differences in energy budgets and cross-equatorial transport anomalies during the 20th century, Clim. Dyn., 53, 115–135,
<a href="https://doi.org/10.1007/s00382-018-4572-x" target="_blank">https://doi.org/10.1007/s00382-018-4572-x</a>, 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib54"><label>Lesperance et al.(2010)Lesperance, Smerdon, and
Beltrami</label><mixed-citation>
Lesperance, M., Smerdon, J. E., and Beltrami, H.: Propagation of linear surface  air temperature trends into the terrestrial subsurface, J.
Geophys. Res.-Atmos., 115, d21115, <a href="https://doi.org/10.1029/2010JD014377" target="_blank">https://doi.org/10.1029/2010JD014377</a>,
2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib55"><label>Levitus et al.(2005)Levitus, Antonov, and Boyer</label><mixed-citation>
Levitus, S., Antonov, J., and Boyer, T.: Warming of the world ocean,
1955–2003, Geophys. Res. Lett., 32, l02604, <a href="https://doi.org/10.1029/2004GL021592" target="_blank">https://doi.org/10.1029/2004GL021592</a>,  2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib56"><label>Levy et al.(2016)Levy, Woster, Goldstein, and
Carlton</label><mixed-citation>
Levy, K., Woster, A. P., Goldstein, R. S., and Carlton, E. J.: Untangling the
Impacts of Climate Change on Waterborne Diseases: a Systematic Review of
Relationships between Diarrheal Diseases and Temperature, Rainfall, Flooding, and Drought, Environ. Sci. Tech., 50, 4905–4922,
<a href="https://doi.org/10.1021/acs.est.5b06186" target="_blank">https://doi.org/10.1021/acs.est.5b06186</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib57"><label>Lloyd et al.(2011)Lloyd, Kovats, and
Chalabi</label><mixed-citation>
Lloyd, S. J., Kovats, R. S., and Chalabi, Z.: Climate Change, Crop Yields, and Undernutrition: Development of a Model to Quantify the Impact of Climate
Scenarios on Child Undernutrition, Environ. Health Persp., 119,
1817–1823, <a href="https://doi.org/10.1289/ehp.1003311" target="_blank">https://doi.org/10.1289/ehp.1003311</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib58"><label>Loeb et al.(2016)Loeb, Wang, Cheng, Kato, Fasullo, Xu, and
Allan</label><mixed-citation>
Loeb, N. G., Wang, H., Cheng, A., Kato, S., Fasullo, J. T., Xu, K.-M., and
Allan, R. P.: Observational constraints on atmospheric and oceanic
cross-equatorial heat transports: revisiting the precipitation asymmetry
problem in climate models, Clim. Dyn., 46, 3239–3257,
<a href="https://doi.org/10.1007/s00382-015-2766-z" target="_blank">https://doi.org/10.1007/s00382-015-2766-z</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib59"><label>MacDougall et al.(2008)MacDougall, González-Rouco, Stevens, and
Beltrami</label><mixed-citation>
MacDougall, A. H., González-Rouco, J. F., Stevens, M. B., and Beltrami, H.:
Quantification of subsurface heat storage in a GCM simulation, Geophys.
Res. Lett., 35, L13702, <a href="https://doi.org/10.1029/2008GL034639" target="_blank">https://doi.org/10.1029/2008GL034639</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib60"><label>MacDougall et al.(2010)MacDougall, Beltrami, González-Rouco,
Stevens, and Bourlon</label><mixed-citation>
MacDougall, A. H., Beltrami, H., González-Rouco, J. F., Stevens, M. B., and  Bourlon, E.: Comparison of observed and general circulation model derived  continental subsurface heat flux in the Northern Hemisphere, J.
Geophys. Res.-Atmos., 115, D12109, <a href="https://doi.org/10.1029/2009JD013170" target="_blank">https://doi.org/10.1029/2009JD013170</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib61"><label>MacDougall et al.(2012)MacDougall, Avis, and
Weaver</label><mixed-citation>
MacDougall, A. H., Avis, C. A., and Weaver, A. J.: Significant contribution to  climate warming from the permafrost carbon feedback, Nat. Geosci., 5,
719–721, <a href="https://doi.org/10.1038/ngeo1573" target="_blank">https://doi.org/10.1038/ngeo1573</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib62"><label>Mareschal and Beltrami(1992)</label><mixed-citation>
Mareschal, J.-C. and Beltrami, H.: Evidence for recent warming from perturbed
geothermal gradients: examples from eastern Canada, Clim. Dyn., 6,
135–143, <a href="https://doi.org/10.1007/BF00193525" target="_blank">https://doi.org/10.1007/BF00193525</a>, 1992.
</mixed-citation></ref-html>
<ref-html id="bib1.bib63"><label>Masson-Delmotte et al.(2013)Masson-Delmotte, Schulz, Abe-Ouchi, Beer,
Ganopolski, González Rouco, Jansen, Lambeck, Luterbacher, Naish, Osborn,
Otto-Bliesner, Quinn, Ramesh, Rojas, Shao, and Timmermann</label><mixed-citation>
Masson-Delmotte, V., Schulz, M., Abe-Ouchi, A., Beer, J., Ganopolski, A.,
González Rouco, J., Jansen, E., Lambeck, K., Luterbacher, J., Naish, T.,
Osborn, T., Otto-Bliesner, B., Quinn, T., Ramesh, R., Rojas, M., Shao, X.,
and Timmermann, A.: Information from Paleoclimate Archives, in: Climate
Change 2013: The Physical Science Basis. Contribution of Working Group I to
the Fifth Assessment Report of the Intergovernmental Panel on Climate Change,
edited by: Stocker, T., Qin, D., Plattner, G.-K., Tignor, M., Allen, S.,
Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P., book section 5, pp. 383–464, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, <a href="https://doi.org/10.1017/CBO9781107415324.013" target="_blank">https://doi.org/10.1017/CBO9781107415324.013</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib64"><label>Matthews et al.(2017)Matthews, Wilby, and
Murphy</label><mixed-citation>
Matthews, T. K. R., Wilby, R. L., and Murphy, C.: Communicating the deadly
consequences of global warming for human heat stress, P.
Natl. Acad. Sci. USA, 114, 3861–3866, <a href="https://doi.org/10.1073/pnas.1617526114" target="_blank">https://doi.org/10.1073/pnas.1617526114</a>,
2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib65"><label>McGranahan et al.(2007)McGranahan, Balk, and
Anderson</label><mixed-citation>
McGranahan, G., Balk, D., and Anderson, B.: The rising tide: assessing the
risks of climate change and human settlements in low elevation coastal zones, Environ. Urban., 19, 17–37, <a href="https://doi.org/10.1177/0956247807076960" target="_blank">https://doi.org/10.1177/0956247807076960</a>,
2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib66"><label>McPherson et al.(2017)McPherson, García-García,
Cuesta-Valero, Beltrami, Hansen-Ketchum, MacDougall, and
Ogden</label><mixed-citation>
McPherson, M., García-García, A., Cuesta-Valero, F. J., Beltrami, H.,
Hansen-Ketchum, P., MacDougall, D., and Ogden, N. H.: Expansion of the Lyme
Disease Vector <i>Ixodes Scapularis</i> in Canada Inferred from CMIP5 Climate
Projections, Environ. Health Persp., 125, 057008,
<a href="https://doi.org/10.1289/EHP57" target="_blank">https://doi.org/10.1289/EHP57</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib67"><label>Melo-Aguilar et al.(2020)Melo-Aguilar, González-Rouco,
García-Bustamante, Steinert, Jungclaus, Navarro, and
Roldan-Gómez</label><mixed-citation>
Melo-Aguilar, C., González-Rouco, J. F., García-Bustamante, E., Steinert, N., Jungclaus, J. H., Navarro, J., and Roldán-Gómez, P. J.: Methodological and physical biases in global to subcontinental borehole temperature reconstructions: an assessment from a pseudo-proxy perspective, Clim. Past, 16, 453–474, <a href="https://doi.org/10.5194/cp-16-453-2020" target="_blank">https://doi.org/10.5194/cp-16-453-2020</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib68"><label>Mottaghy and Rath(2006)</label><mixed-citation>
Mottaghy, D. and Rath, V.: Latent heat effects in subsurface heat transport
modelling and their impact on palaeotemperature reconstructions, Geophys. J. Int., 164, 236–245, <a href="https://doi.org/10.1111/j.1365-246X.2005.02843.x" target="_blank">https://doi.org/10.1111/j.1365-246X.2005.02843.x</a>,
2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib69"><label>NOAA(2019)</label><mixed-citation>
NOAA: Borehole Database at National Oceanic and Atmospheric Administration's  Server, available at:
<a href="https://www.ncdc.noaa.gov/data-access/paleoclimatology-data/datasets/borehole" target="_blank"/>
last access: 1 September 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib70"><label>Oppenheimer et al.(2021)Oppenheimer, Glavovic, Hinkel, van de Wal,
Magnan, Abd-Elgawad, Cai, Cifuentes-Jara, DeConto, Ghosh, Hay, Isla,
Marzeion, Meyssignac, and Sebesvari</label><mixed-citation>
Oppenheimer, M., Glavovic, B., Hinkel, J., van de Wal, R., Magnan, A.,
Abd-Elgawad, A., Cai, R., Cifuentes-Jara, M., DeConto, R., Ghosh, T., Hay,
J., Isla, F., Marzeion, B., Meyssignac, B., and Sebesvari, Z.: Sea Level
Riseand Implications for Low-Lying Islands, Coasts and Communities, in:
IPCC Special Report on the Ocean and Cryosphere in a Changing Climate,
edited by: Pörtner, H.-O., Roberts, D., Masson-Delmotte, V., Zhai, P.,  Tignor, M., Poloczanska, E., Mintenbeck, K., Alegría, A., Nicolai, M.,  Okem, A., Petzold, J., Rama, B., and Weyer, N., book section 4, pp. 321–446, in press, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib71"><label>Palmer and McNeall(2014)</label><mixed-citation>
Palmer, M. D. and McNeall, D. J.: Internal variability of Earth's energy budget simulated by CMIP5 climate models, Environ. Res. Lett., 9,
034016, <a href="https://doi.org/10.1088/1748-9326/9/3/034016" target="_blank">https://doi.org/10.1088/1748-9326/9/3/034016</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib72"><label>Palmer et al.(2011)Palmer, McNeall, and
Dunstone</label><mixed-citation>
Palmer, M. D., McNeall, D. J., and Dunstone, N. J.: Importance of the deep
ocean for estimating decadal changes in Earth's radiation balance,
Geophysical Research Letters, 38, l13707, <a href="https://doi.org/10.1029/2011GL047835" target="_blank">https://doi.org/10.1029/2011GL047835</a>,
2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib73"><label>Phalkey et al.(2015)Phalkey, Aranda-Jan, Marx, Höfle, and
Sauerborn</label><mixed-citation>
Phalkey, R. K., Aranda-Jan, C., Marx, S., Höfle, B., and Sauerborn, R.:
Systematic review of current efforts to quantify the impacts of climate
change on undernutrition, P. Natl. Acad. Sci. USA,
112, E4522–E4529, <a href="https://doi.org/10.1073/pnas.1409769112" target="_blank">https://doi.org/10.1073/pnas.1409769112</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib74"><label>Pickler et al.(2016)Pickler, Beltrami, and
Mareschal</label><mixed-citation>
Pickler, C., Beltrami, H., and Mareschal, J.-C.: Laurentide Ice Sheet basal temperatures during the last glacial cycle as inferred from borehole data, Clim. Past, 12, 115–127, <a href="https://doi.org/10.5194/cp-12-115-2016" target="_blank">https://doi.org/10.5194/cp-12-115-2016</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib75"><label>Pickler et al.(2018)Pickler, Gurza Fausto, Beltrami, Mareschal,
Suárez, Chacon-Oecklers, Blin, Cortés Calderón, Montenegro, Harris, and
Tassara</label><mixed-citation>
Pickler, C., Gurza Fausto, E., Beltrami, H., Mareschal, J.-C., Suárez, F., Chacon-Oecklers, A., Blin, N., Cortés Calderón, M. T., Montenegro, A., Harris, R., and Tassara, A.: Recent climate variations in Chile: constraints from borehole temperature profiles, Clim. Past, 14, 559–575, <a href="https://doi.org/10.5194/cp-14-559-2018" target="_blank">https://doi.org/10.5194/cp-14-559-2018</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib76"><label>Pollack and Smerdon(2004)</label><mixed-citation>
Pollack, H. N. and Smerdon, J. E.: Borehole climate reconstructions: Spatial
structure and hemispheric averages, J. Geophys. Res.-Atmos., 109, d11106, <a href="https://doi.org/10.1029/2003JD004163" target="_blank">https://doi.org/10.1029/2003JD004163</a>,  2004.
</mixed-citation></ref-html>
<ref-html id="bib1.bib77"><label>Pollack et al.(1998)Pollack, Huang, and
Shen</label><mixed-citation>
Pollack, H. N., Huang, S., and Shen, P.-Y.: Climate Change Record in Subsurface Temperatures: A Global Perspective, Science, 282, 279–281,
<a href="https://doi.org/10.1126/science.282.5387.279" target="_blank">https://doi.org/10.1126/science.282.5387.279</a>, 1998.
</mixed-citation></ref-html>
<ref-html id="bib1.bib78"><label>Rath et al.(2012)Rath, González Rouco, and
Goosse</label><mixed-citation>
Rath, V., González Rouco, J. F., and Goosse, H.: Impact of postglacial warming on borehole reconstructions of last millennium temperatures, Clim. Past, 8, 1059–1066, <a href="https://doi.org/10.5194/cp-8-1059-2012" target="_blank">https://doi.org/10.5194/cp-8-1059-2012</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib79"><label>Reiter(2005)</label><mixed-citation>
Reiter, M.: Possible Ambiguities in Subsurface Temperature Logs: Consideration of Ground-water Flow and Ground Surface Temperature Change, Pure Appl. Geophys., 162, 343–355, <a href="https://doi.org/10.1007/s00024-004-2604-4" target="_blank">https://doi.org/10.1007/s00024-004-2604-4</a>, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib80"><label>Riser et al.(2016)Riser, Freeland, Roemmich, Wijffels, Troisi,
Belbéoch, Gilbert, Xu, Pouliquen, Thresher, Le Traon, Maze, Klein,
Ravichandran, Grant, Poulain, Suga, Lim, Sterl, Sutton, Mork,
Vélez-Belchí, Ansorge, King, Turton, Baringer, and
Jayne</label><mixed-citation>
Riser, S. C., Freeland, H. J., Roemmich, D., Wijffels, S., Troisi, A.,
Belbéoch, M., Gilbert, D., Xu, J., Pouliquen, S., Thresher, A., Le Traon,
P.-Y., Maze, G., Klein, B., Ravichandran, M., Grant, F., Poulain, P.-M.,
Suga, T., Lim, B., Sterl, A., Sutton, P., Mork, K.-A., Vélez-Belchí,
P. J., Ansorge, I., King, B., Turton, J., Baringer, M., and Jayne, S. R.:
Fifteen years of ocean observations with the global Argo array, Nat.
Clim. Change, 6, 145–153, <a href="https://doi.org/10.1038/nclimate2872" target="_blank">https://doi.org/10.1038/nclimate2872</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib81"><label>Rosenzweig et al.(2014)Rosenzweig, Elliott, Deryng, Ruane,
Müller, Arneth, Boote, Folberth, Glotter, Khabarov, Neumann, Piontek,
Pugh, Schmid, Stehfest, Yang, and Jones</label><mixed-citation>
Rosenzweig, C., Elliott, J., Deryng, D., Ruane, A. C., Müller, C., Arneth,
A., Boote, K. J., Folberth, C., Glotter, M., Khabarov, N., Neumann, K.,
Piontek, F., Pugh, T. A. M., Schmid, E., Stehfest, E., Yang, H., and Jones,
J. W.: Assessing agricultural risks of climate change in the 21st century in
a global gridded crop model intercomparison, P. Natl.
Acad. Sci. USA, 111, 3268–3273, <a href="https://doi.org/10.1073/pnas.1222463110" target="_blank">https://doi.org/10.1073/pnas.1222463110</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib82"><label>Roy et al.(2002)Roy, Harris, Rao, and Chapman</label><mixed-citation>
Roy, S., Harris, R. N., Rao, R. U. M., and Chapman, D. S.: Climate change in
India inferred from geothermal observations, J. Geophys. Res.-Sol. Ea., 107, 5-1–5-16, <a href="https://doi.org/10.1029/2001JB000536" target="_blank">https://doi.org/10.1029/2001JB000536</a>, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib83"><label>Schurer et al.(2017)Schurer, Mann, Hawkins, Tett, and
Hegerl</label><mixed-citation>
Schurer, A. P., Mann, M. E., Hawkins, E., Tett, S. F. B., and Hegerl, G. C.:
Importance of the pre-industrial baseline for likelihood of exceeding Paris
goals, Nat. Clim. Change, 7, 563–567, <a href="https://doi.org/10.1038/nclimate3345" target="_blank">https://doi.org/10.1038/nclimate3345</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib84"><label>Screen et al.(2018)Screen, Deser, Smith, Zhang, Blackport, Kushner,
Oudar, McCusker, and Sun</label><mixed-citation>
Screen, J. A., Deser, C., Smith, D. M., Zhang, X., Blackport, R., Kushner,
P. J., Oudar, T., McCusker, K. E., and Sun, L.: Consistency and discrepancy
in the atmospheric response to Arctic sea-ice loss across climate models,
Nat. Geosci., 11, 155–163, <a href="https://doi.org/10.1038/s41561-018-0059-y" target="_blank">https://doi.org/10.1038/s41561-018-0059-y</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib85"><label>Shen et al.(1992)Shen, Wang, Beltrami, and
Mareschal</label><mixed-citation>
Shen, P., Wang, K., Beltrami, H., and Mareschal, J.-C.: A comparative study of inverse methods for estimating climatic history from borehole temperature
data, Global Planet. Change, 6, 113–127,
<a href="https://doi.org/10.1016/0921-8181(92)90030-E" target="_blank">https://doi.org/10.1016/0921-8181(92)90030-E</a>, 1992.
</mixed-citation></ref-html>
<ref-html id="bib1.bib86"><label>Sherwood and Huber(2010)</label><mixed-citation>
Sherwood, S. C. and Huber, M.: An adaptability limit to climate change due to
heat stress, P. Natl. Acad. Sci. USA, 107,
9552–9555, <a href="https://doi.org/10.1073/pnas.0913352107" target="_blank">https://doi.org/10.1073/pnas.0913352107</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib87"><label>Stephens et al.(2012)Stephens, Li, Wild, Clayson, Loeb, Kato,
L'Ecuyer, Stackhouse, Lebsock, and Andrews</label><mixed-citation>
Stephens, G. L., Li, J., Wild, M., Clayson, C. A., Loeb, N., Kato, S.,
L'Ecuyer, T., Stackhouse, P. W., Lebsock, M., and Andrews, T.: An update on
Earth's energy balance in light of the latest global observations, Nat.
Geosci., 5, 691–696, <a href="https://doi.org/10.1038/ngeo1580" target="_blank">https://doi.org/10.1038/ngeo1580</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib88"><label>Stevens et al.(2007)Stevens, Smerdon, González-Rouco, Stieglitz,
and Beltrami</label><mixed-citation>
Stevens, M. B., Smerdon, J. E., González-Rouco, J. F., Stieglitz, M., and
Beltrami, H.: Effects of bottom boundary placement on subsurface heat
storage: Implications for climate model simulations, Geophys. Res.
Lett., 34, l02702, <a href="https://doi.org/10.1029/2006GL028546" target="_blank">https://doi.org/10.1029/2006GL028546</a>,  2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib89"><label>Stevens et al.(2008)Stevens, González-Rouco, and
Beltrami</label><mixed-citation>
Stevens, M. B., González-Rouco, J. F., and Beltrami, H.: North American
climate of the last millennium: Underground temperatures and model
comparison, J. Geophys. Res.-Earth, 113, f01008,
<a href="https://doi.org/10.1029/2006JF000705" target="_blank">https://doi.org/10.1029/2006JF000705</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib90"><label>Suman et al.(2017)Suman, Dyer, and White</label><mixed-citation>
Suman, A., Dyer, F., and White, D.: Late Holocene temperature variability in
Tasmania inferred from borehole temperature data, Clim. Past, 13,
559–572, <a href="https://doi.org/10.5194/cp-13-559-2017" target="_blank">https://doi.org/10.5194/cp-13-559-2017</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib91"><label>Tomas et al.(2016)Tomas, Deser, and
Sun</label><mixed-citation>
Tomas, R. A., Deser, C., and Sun, L.: The Role of Ocean Heat Transport in the
Global Climate Response to Projected Arctic Sea Ice Loss, J. Climate,
29, 6841–6859, <a href="https://doi.org/10.1175/JCLI-D-15-0651.1" target="_blank">https://doi.org/10.1175/JCLI-D-15-0651.1</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib92"><label>Trenberth et al.(2019)Trenberth, Zhang, Fasullo, and
Cheng</label><mixed-citation>
Trenberth, K. E., Zhang, Y., Fasullo, J. T., and Cheng, L.: Observation-Based
Estimates of Global and Basin Ocean Meridional Heat Transport Time Series,
J. Climate, 32, 4567–4583, <a href="https://doi.org/10.1175/JCLI-D-18-0872.1" target="_blank">https://doi.org/10.1175/JCLI-D-18-0872.1</a>, 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib93"><label>Turcotte and Schubert(2002)</label><mixed-citation>
Turcotte, D. L. and Schubert, G.: Geodynamics, University Printing House, Shaftesbury Road, Cambridge, CB2 8BS, England, UK, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib94"><label>University of East Anglia Climatic Research Unit et al.(2017)</label><mixed-citation>
University of East Anglia Climatic Research Unit (CRU), Harris, I. C., and Jones, P. D.: CRU TS4.01: Climatic Research Unit (CRU) Time-Series (TS) version 4.01 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901–Dec. 2016), CEDA Archive, <a href="https://doi.org/10/gcmcz3" target="_blank">https://doi.org/10/gcmcz3</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib95"><label>Vasseur et al.(1983)Vasseur, Bernard, de Meulebrouck, Kast, and
Jolivet</label><mixed-citation>
Vasseur, G., Bernard, P., de Meulebrouck, J. V., Kast, Y., and Jolivet, J.:
Holocene paleotemperatures deduced from geothermal measurements,
Palaeogeography, Palaeoclimatology, Palaeoecology, 43, 237–259,
<a href="https://doi.org/10.1016/0031-0182(83)90013-5" target="_blank">https://doi.org/10.1016/0031-0182(83)90013-5</a>, 1983.
</mixed-citation></ref-html>
<ref-html id="bib1.bib96"><label>Vaughan et al.(2013)Vaughan, Comiso, Allison, Carrasco, Kaser, Kwok,
Mote, Murray, Paul, Ren, Rignot, Solomina, Steffen, and Zhang</label><mixed-citation>
Vaughan, D., Comiso, J., Allison, I., Carrasco, J., Kaser, G., Kwok, R., Mote,
P., Murray, T., Paul, F., Ren, J., Rignot, E., Solomina, O., Steffen, K., and  Zhang, T.: Observations: Cryosphere, in: Climate Change 2013: The Physical
Science Basis. Contribution of Working Group I to the Fifth Assessment Report
of the Intergovernmental Panel on Climate Change, edited by: Stocker, T., Qin,  D., Plattner, G.-K., Tignor, M., Allen, S., Boschung, J., Nauels, A., Xia,  Y., Bex, V., and Midgley, P., book section 4, 317–382, Cambridge
University Press, Cambridge, United Kingdom and New York, NY, USA,
<a href="https://doi.org/10.1017/CBO9781107415324.012" target="_blank">https://doi.org/10.1017/CBO9781107415324.012</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib97"><label>von Schuckmann et al.(2016)von Schuckmann, Palmer, Trenberth,
Cazenave, Chambers, Champollion, Hansen, Josey, Loeb, Mathieu, Meyssignac,
and Wild</label><mixed-citation>
von Schuckmann, K., Palmer, M. D., Trenberth, K. E., Cazenave, A., Chambers,
D., Champollion, N., Hansen, J., Josey, S. A., Loeb, N., Mathieu, P. P.,
Meyssignac, B., and Wild, M.: An imperative to monitor Earth's energy
imbalance, Nat. Clim. Change, 6, 138–144,
<a href="https://doi.org/10.1038/nclimate2876" target="_blank">https://doi.org/10.1038/nclimate2876</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib98"><label>von Schuckmann et al.(2020)von Schuckmann, Cheng, Palmer, Hansen,
Tassone, Aich, Adusumilli, Beltrami, Boyer, Cuesta-Valero, Desbruyères,
Domingues, García-García, Gentine, Gilson, Gorfer, Haimberger,
Ishii, Johnson, Killick, King, Kirchengast, Kolodziejczyk, Lyman, Marzeion,
Mayer, Monier, Monselesan, Purkey, Roemmich, Schweiger, Seneviratne,
Shepherd, Slater, Steiner, Straneo, Timmermans, and
Wijffels</label><mixed-citation>
von Schuckmann, K., Cheng, L., Palmer, M. D., Hansen, J., Tassone, C., Aich, V., Adusumilli, S., Beltrami, H., Boyer, T., Cuesta-Valero, F. J., Desbruyères, D., Domingues, C., García-García, A., Gentine, P., Gilson, J., Gorfer, M., Haimberger, L., Ishii, M., Johnson, G. C., Killick, R., King, B. A., Kirchengast, G., Kolodziejczyk, N., Lyman, J., Marzeion, B., Mayer, M., Monier, M., Monselesan, D. P., Purkey, S., Roemmich, D., Schweiger, A., Seneviratne, S. I., Shepherd, A., Slater, D. A., Steiner, A. K., Straneo, F., Timmermans, M.-L., and Wijffels, S. E.: Heat stored in the Earth system: where does the energy go?, Earth Syst. Sci. Data, 12, 2013–2041, <a href="https://doi.org/10.5194/essd-12-2013-2020" target="_blank">https://doi.org/10.5194/essd-12-2013-2020</a>, 2020.

</mixed-citation></ref-html>
<ref-html id="bib1.bib99"><label>Wang and Bras(1999)</label><mixed-citation>
Wang, J. and Bras, R.: Ground heat flux estimated from surface soil
temperature, J. Hydrol., 216, 214–226,
<a href="https://doi.org/10.1016/S0022-1694(99)00008-6" target="_blank">https://doi.org/10.1016/S0022-1694(99)00008-6</a>, 1999.
</mixed-citation></ref-html>
<ref-html id="bib1.bib100"><label>Watts et al.(2019)Watts, Amann, Arnell, Ayeb-Karlsson, Belesova,
Boykoff, Byass, Cai, Campbell-Lendrum, Capstick, Chambers, Dalin, Daly,
Dasandi, Davies, Drummond, Dubrow, Ebi, Eckelman, Ekins, Escobar,
Fernandez Montoya, Georgeson, Graham, Haggar, Hamilton, Hartinger, Hess,
Kelman, Kiesewetter, Kjellstrom, Kniveton, Lemke, Liu, Lott, Lowe, Sewe,
Martinez-Urtaza, Maslin, McAllister, McGushin, Jankin Mikhaylov, Milner,
Moradi-Lakeh, Morrissey, Murray, Munzert, Nilsson, Neville, Oreszczyn, Owfi,
Pearman, Pencheon, Phung, Pye, Quinn, Rabbaniha, Robinson, Rocklöv,
Semenza, Sherman, Shumake-Guillemot, Tabatabaei, Taylor, Trinanes, Wilkinson,
Costello, Gong, and Montgomery</label><mixed-citation>
Watts, N., Amann, M., Arnell, N., Ayeb-Karlsson, S., Belesova, K., Boykoff, M.,
Byass, P., Cai, W., Campbell-Lendrum, D., Capstick, S., Chambers, J., Dalin,
C., Daly, M., Dasandi, N., Davies, M., Drummond, P., Dubrow, R., Ebi, K. L.,
Eckelman, M., Ekins, P., Escobar, L. E., Fernandez Montoya, L., Georgeson,
L., Graham, H., Haggar, P., Hamilton, I., Hartinger, S., Hess, J., Kelman,
I., Kiesewetter, G., Kjellstrom, T., Kniveton, D., Lemke, B., Liu, Y., Lott,
M., Lowe, R., Sewe, M. O., Martinez-Urtaza, J., Maslin, M., McAllister, L.,
McGushin, A., Jankin Mikhaylov, S., Milner, J., Moradi-Lakeh, M., Morrissey,
K., Murray, K., Munzert, S., Nilsson, M., Neville, T., Oreszczyn, T., Owfi,
F., Pearman, O., Pencheon, D., Phung, D., Pye, S., Quinn, R., Rabbaniha, M.,
Robinson, E., Rocklöv, J., Semenza, J. C., Sherman, J.,
Shumake-Guillemot, J., Tabatabaei, M., Taylor, J., Trinanes, J., Wilkinson,
P., Costello, A., Gong, P., and Montgomery, H.: The 2019 report of The
Lancet Countdown on health and climate change: ensuring that the health of a child born today is not defined by a changing climate, Lancet, 394,
1836–1878, <a href="https://doi.org/10.1016/S0140-6736(19)32596-6" target="_blank">https://doi.org/10.1016/S0140-6736(19)32596-6</a>, 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib101"><label>Wu et al.(2016)Wu, Lu, Zhou, Chen, and Xu</label><mixed-citation>
Wu, X., Lu, Y., Zhou, S., Chen, L., and Xu, B.: Impact of climate change on
human infectious diseases: Empirical evidence and human adaptation,
Environ. Int., 86, 14–23,
<a href="https://doi.org/10.1016/j.envint.2015.09.007" target="_blank">https://doi.org/10.1016/j.envint.2015.09.007</a>, 2016.
</mixed-citation></ref-html>--></article>
