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  <front>
    <journal-meta>
<journal-id journal-id-type="publisher">AMT</journal-id>
<journal-title-group>
<journal-title>Atmospheric Measurement Techniques</journal-title>
<abbrev-journal-title abbrev-type="publisher">AMT</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Atmos. Meas. Tech.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1867-8548</issn>
<publisher><publisher-name>Copernicus GmbH</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>

    <article-meta>
      <article-id pub-id-type="doi">10.5194/amt-7-3947-2014</article-id><title-group><article-title>Characteristics of tropopause parameters as observed with  GPS  radio occultation</article-title>
      </title-group><?xmltex \runningtitle{Characteristics of tropopause parameters as observed with GPS
RO}?><?xmltex \runningauthor{T.~Rieckh et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2">
          <name><surname>Rieckh</surname><given-names>T.</given-names></name>
          <email>therese.rieckh@uni-graz.at</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Scherllin-Pirscher</surname><given-names>B.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-4969-7462</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Ladstädter</surname><given-names>F.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-8369-0868</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2 aff1">
          <name><surname>Foelsche</surname><given-names>U.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-9899-6453</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Wegener Center for Climate and Global Change, University of Graz,   Graz, Austria</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Institute for Geophysics, Astrophysics, and Meteorology/Institute of Physics (IGAM/IP), University of Graz, Graz, Austria</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">T. Rieckh (therese.rieckh@uni-graz.at)</corresp></author-notes><pub-date><day>26</day><month>November</month><year>2014</year></pub-date>
      
      <volume>7</volume>
      <issue>11</issue>
      <fpage>3947</fpage><lpage>3958</lpage>
      <history>
        <date date-type="received"><day>15</day><month>April</month><year>2014</year></date>
           <date date-type="rev-request"><day>8</day><month>May</month><year>2014</year></date>
           <date date-type="rev-recd"><day>15</day><month>October</month><year>2014</year></date>
           <date date-type="accepted"><day>18</day><month>October</month><year>2014</year></date>
           
      </history>
      <permissions>
<license license-type="open-access">
<license-p>This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/3.0/">http://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
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</permissions>

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<self-uri xlink:href="https://www.atmos-meas-tech.net/7/3947/2014/amt-7-3947-2014.pdf">The full text article is available as a PDF file from https://www.atmos-meas-tech.net/7/3947/2014/amt-7-3947-2014.pdf</self-uri>
<abstract>
    <p>Characteristics of the lapse rate tropopause are analyzed globally for
tropopause altitude and temperature using global positioning system (GPS)
radio occultation (RO) data from late 2001 to the end of 2013. RO
profiles feature high vertical resolution and excellent quality in the
upper troposphere and lower stratosphere, which are key factors for
tropopause determination, including multiple ones. RO data provide
measurements globally and allow examination of both temporal and spatial
tropopause characteristics based entirely on observational measurements.
To investigate latitudinal and longitudinal tropopause characteristics,
the mean annual cycle, and inter-annual variability, we use tropopauses
from individual profiles as well as their statistical measures for zonal
bands and 5<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> bins. The latitudinal
structure of first tropopauses shows the well-known distribution with
high (cold) tropical tropopauses and low (warm) extra-tropical
tropopauses. In the transition zones (20 to
40<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N/S), individual profiles reveal varying tropopause
altitudes from less than 7 km to more than 17 km due to variability in
the subtropical tropopause break. In this region, we also find multiple
tropopauses throughout the year. Longitudinal variability is strongest
at northern hemispheric mid latitudes and in the Asian monsoon region.
The mean annual cycle features changes in amplitude and phase, depending
on latitude. This is caused by different underlying physical processes
(such as the Brewer–Dobson circulation – BDC) and atmospheric dynamics (such as
the strong polar vortex in the southern hemispheric winter). Inter-annual
anomalies of tropopause parameters show signatures of El Niño–Southern
Oscillation (ENSO), the quasi–biennial oscillation (QBO), and the varying strength of
the polar vortex, including sudden stratospheric warming (SSW) events. These
results are in good agreement with previous studies and underpin the high
utility of the entire RO record for investigating latitudinal,
longitudinal, and temporal tropopause characteristics globally.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>The tropopause marks the transition between the well-mixed troposphere and
the stably stratified stratosphere. Besides the change in stratification,
fundamental changes in the composition of chemical constituents, such as water
vapor or ozone, take place in this region <xref ref-type="bibr" rid="bib1.bibx20" id="paren.1"/>. The tropopause
generally acts as a dynamic barrier for cross-tropopause transport. In the
tropics, exchange between the troposphere and the stratosphere is mainly
determined by the upwelling branch of the Brewer–Dobson circulation (BDC)
and by deep convection. Tropical cross-tropopause transport is the main
source of water vapor in the stratosphere and plays an important role in
stratospheric chemistry and its radiative budget <xref ref-type="bibr" rid="bib1.bibx12" id="paren.2"/>. In
the extra-tropics, stratosphere-troposphere exchange takes place via
quasi-horizontal transport at the edge of subtropical and polar jets,
affecting tropospheric ozone concentrations and, hence, tropospheric and
surface climate <xref ref-type="bibr" rid="bib1.bibx14" id="paren.3"/>.</p>
      <p>Tropopause properties not only contain information about possible
troposphere-stratosphere exchange, but they can also be associated with the
state of certain atmospheric characteristics. For example, due to
their simple latitudinal structure, tropopause pressure or tropopause
altitude characteristics can serve as a measure for the width of the
tropical belt <xref ref-type="bibr" rid="bib1.bibx47 bib1.bibx6" id="paren.4"/>.</p>
      <p><?xmltex \hack{\newpage}?>Tropopause characteristics react to both tropospheric and
stratospheric temperature changes. Studies about tropopause altitude
changes as an indicator of climate change have been conducted by <xref ref-type="bibr" rid="bib1.bibx37" id="text.5"/>, <xref ref-type="bibr" rid="bib1.bibx39" id="text.6"/>, and <xref ref-type="bibr" rid="bib1.bibx46" id="text.7"/>, to name a few. All
these studies have consistently found evidence of a decrease in global
tropopause temperature and pressure (increase in tropopause altitude)
due to anthropogenic tropospheric warming and lower stratospheric
cooling <xref ref-type="bibr" rid="bib1.bibx38" id="paren.8"><named-content content-type="pre">e.g., </named-content></xref>.</p>
      <p>Over the last decades, radiosonde data have been the most important
observational data source to study tropopause parameters and their
characteristics <xref ref-type="bibr" rid="bib1.bibx31 bib1.bibx48" id="paren.9"/>. With their
multiple-decade data record and high vertical resolution, these
measurements are very valuable for monitoring inter-annual and
intra-annual variations of tropopause parameters. On the other hand,
coverage in the Southern Hemisphere (SH) and above oceans is very
poor, which makes it hard to catch spatial characteristics and
changes. Thus, analysis and reanalysis products have been additionally
used to investigate tropopause characteristics globally <xref ref-type="bibr" rid="bib1.bibx19 bib1.bibx18" id="paren.10"><named-content content-type="pre">see,
e.g.,</named-content></xref>.</p>
      <p>However, to investigate tropopause properties based only on
observational data, the relatively new global positioning system (GPS)
radio occultation (RO) technique delivers well-suited data. The RO
method <xref ref-type="bibr" rid="bib1.bibx29 bib1.bibx24 bib1.bibx15 bib1.bibx23" id="paren.11"/>
provides near-vertical profiles of atmospheric thermodynamic variables
with high vertical resolution (better than 1 km) and global coverage.
Other features of RO measurements include all-weather capability, high
accuracy, high precision, and long-term stability
<xref ref-type="bibr" rid="bib1.bibx2" id="paren.12"/>. A number of studies confirmed the feasibility and
excellent eligibility of RO measurements for monitoring the atmosphere
<xref ref-type="bibr" rid="bib1.bibx9 bib1.bibx10" id="paren.13"/> and for climate change detection
<xref ref-type="bibr" rid="bib1.bibx27 bib1.bibx43 bib1.bibx52" id="paren.14"/>.</p>
      <p>The combination of the excellent RO profile quality in the upper
troposphere and lower stratosphere <xref ref-type="bibr" rid="bib1.bibx24" id="paren.15"/> and data
availability above ocean and land (including polar regions) make these
data highly suited for tropopause parameter evaluation. The first studies
using GPS RO data for tropopause determination were conducted by
<xref ref-type="bibr" rid="bib1.bibx30" id="text.16"/>, <xref ref-type="bibr" rid="bib1.bibx32" id="text.17"/>, and <xref ref-type="bibr" rid="bib1.bibx42" id="text.18"/> for
the tropical region. As RO data proved to provide accurate information
on tropopause characteristics, these data have been increasingly used
in recent years <xref ref-type="bibr" rid="bib1.bibx22 bib1.bibx7 bib1.bibx10 bib1.bibx51" id="paren.19"/>. Recently, a new method for tropopause determination from
RO profiles based on bending angle information has been introduced by
<xref ref-type="bibr" rid="bib1.bibx28" id="text.20"/>. This technique can be applied earlier in the RO
data retrieval, avoiding additional processing. <xref ref-type="bibr" rid="bib1.bibx44" id="text.21"/>
compared tropopause data resulting from this algorithm to conventional
lapse rate tropopause data and found generally good agreement.</p>
      <p>In this work, we take advantage of having more than 12 years of RO
observational data available. We use the dense field of RO profiles to
compute multi-year statistics of tropopause altitude and temperature and to
analyze El Niño–Southern Oscillation (ENSO)- and quasi–biennial
oscillation (QBO)-related variability on a small scale. Inter-annual
anomalies of tropopause altitude and temperature depict the strong
stratospheric influence at high latitudes. Our results confirm those of previous
studies, but show climatological tropopause characteristics for the longer
RO record available now.</p>
      <p>The structure of this paper is as follows: in
Sect. <xref ref-type="sec" rid="Ch1.S2"/>, a description of the RO measurement
principle, the tropopause algorithm, and the binning and statistical
methods is given. In Sect. <xref ref-type="sec" rid="Ch1.S3"/>, latitudinal and
longitudinal characteristics are discussed.
Section <xref ref-type="sec" rid="Ch1.S4"/> describes the annual cycle of averaged
tropopause data for different latitudinal bands, and, in
Sect. <xref ref-type="sec" rid="Ch1.S5"/>, inter-annual variability is
discussed. Section <xref ref-type="sec" rid="Ch1.S6"/> provides a summary.</p>
</sec>
<sec id="Ch1.S2">
  <title>Data and methods</title>
<sec id="Ch1.S2.SS1">
  <title>RO measurement principle</title>
      <p>The GPS RO method is a limb sounding technique and uses
electromagnetic signals transmitted by GPS satellites, which are
received by a low Earth orbit (LEO) satellite. The GPS signals are
delayed and refracted by the Earth's atmosphere. The measured quantity
onboard the LEO satellite is the phase change as a function of time
between the intrinsically transmitted signal and the received
frequency-shifted signal. Due to the satellites' motion, the
atmosphere is scanned, which yields a profile of phase changes. By
including precise orbit information, it can be transformed into a
bending angle profile. Using an Abel transform, bending angle profiles
are processed to refractivity profiles.</p>
      <p>To first order, refractivity depends on dry air density and humidity,
as described by the Smith–Weintraub formula <xref ref-type="bibr" rid="bib1.bibx49" id="paren.22"/>. In the
so-called dry air retrieval, presence of water vapor is attributed to
the dry atmospheric parameters. Applying the Smith–Weintraub formula,
hydrostatic equation, and the equation of state yields dry density,
dry temperature, and dry pressure. For a detailed retrieval
description, see <xref ref-type="bibr" rid="bib1.bibx24" id="text.23"/>. Physical atmospheric
parameters can be derived by including background information and
applying a 1D-Var retrieval <xref ref-type="bibr" rid="bib1.bibx16" id="paren.24"/>.</p>
      <p>For tropopause computation, we use quality-controlled atmospheric
profiles retrieved with the Wegener Center for Climate and Global Change (WEGC) Occultation Processing System
(OPS), version 5.6 <xref ref-type="bibr" rid="bib1.bibx45" id="paren.25"/> from the following satellite
missions: CHAMP (CHAllenging Mini-Satellite Payload) – September 2001
to September 2008; SAC-C (Satélite de Aplicaciones
Científicas/Scientific Applications Satellite C) – March 2006 to
August 2011; F3C (Formosa Satellite Mission 3/Constellation Observing
System for Meteorology, Ionosphere, and Climate) – April 2006 to
December 2013; GRACE-A (Gravity Recovery And Climate Experiment) –
March 2007 to December 2013. During the CHAMP period, approximately
5000 profiles per month were available globally. The number of
measurements strongly increased to approximately 60 000 profiles per month with the launch of the six F3C
satellites. The investigated
time range covers September 2001 through December 2013.</p>
</sec>
<sec id="Ch1.S2.SS2">
  <title>Tropopause algorithm</title>
      <p>There exist several tropopause definitions, such as the chemical,
dynamical, or thermal definition. The lapse rate definition has
the advantage that it is easy to apply and commonly used, which allows
comparison to other studies. We therefore apply the lapse rate
tropopause definition of the World Meteorological Organization (WMO)
to individual RO temperature profiles and compute tropopause altitude
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and temperature <inline-formula><mml:math 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>. According to the
<xref ref-type="bibr" rid="bib1.bibx55" id="text.26"/>, the tropopause is defined as the lowest level at
which the lapse rate decreases to 2 <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> km<inline-formula><mml:math 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> or
less, provided that the average lapse rate from this point to any
other point within the next 2 km does not exceed
2 <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> km<inline-formula><mml:math 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> either. This ensures that one does not accidentally
mistake a shallow stable layer in the troposphere for the tropopause
<xref ref-type="bibr" rid="bib1.bibx21" id="paren.27"/>. For the profile shown in
Fig. <xref ref-type="fig" rid="Ch1.F1"/>, this criterion is fulfilled at
13.5 km.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1"><caption><p>CHAMP temperature profile colored according to its lapse
rate. Horizontal bars indicate the lowest (first) lapse rate
tropopause (LR1), second lapse rate tropopause (LR2), and the local
minimum of the profile, the cold point tropopause (CP1). Note the
decrease in temperature above LR1, fulfilling the requirement for a
second tropopause (lapse rate greater than 3 <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> km<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>).</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://www.atmos-meas-tech.net/7/3947/2014/amt-7-3947-2014-f01.png"/>

        </fig>

      <p>For multiple tropopauses, the <xref ref-type="bibr" rid="bib1.bibx55" id="text.28"/> states that, if, at any
point above the first tropopause, the average lapse rate between this
point and any point within the next higher kilometer exceeds
3 <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> km<inline-formula><mml:math 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>, an additional tropopause may be found
using the same criterion as before. In
Fig. <xref ref-type="fig" rid="Ch1.F1"/>, the lapse rate exceeds
3 <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> km<inline-formula><mml:math 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> between 15 and 17 km. At 17.3 km, a
second lapse rate tropopause is found. The local minimum of the
temperature profile – i.e., the cold point tropopause – is located
slightly higher at 17.5 km. <inline-formula><mml:math 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> is computed directly from
the temperature profile by choosing the value according to
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>.</p>
      <p>To obtain tropopause altitudes, it is necessary to consider the vertical
resolution of the atmospheric profiles <xref ref-type="bibr" rid="bib1.bibx34 bib1.bibx4" id="paren.29"/>.
For the high-resolution RO profiles, we use cubic spline
interpolation that passes through all initially given data points and apply
the tropopause algorithm on a 20 m grid. This method fits well to the
physical structure of temperature profiles close to the tropopause. We
apply the tropopause algorithm to dry temperature profiles as differences
between dry and physical temperatures become negligible at tropopause
altitudes for most latitudes <xref ref-type="bibr" rid="bib1.bibx40 bib1.bibx8" id="paren.30"/>.
However, high concentrations of water vapor in the lower troposphere can
lead to temperature gradients, which may be interpreted as tropopauses by
the tropopause algorithm. In order to exclude these “tropopauses”, we
compared tropopause altitudes from dry RO temperature profiles (which
include water vapor variations) and from physical RO temperature profiles
(which do not include water vapor variations) and analyzed water vapor
influence. Based on this empirical analysis, we identified lower bounds for
each 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> latitude band and each month. We specified these lower
limits to be approximately 5 km at winter high latitudes, 6 km at summer
high latitudes and winter mid latitudes, 8 km at summer mid latitudes, and
12 km in the tropics. For details, see <xref ref-type="bibr" rid="bib1.bibx35" id="text.31"/>.</p>
      <p>Furthermore, we restrict the algorithm to a top altitude of
22 km. Figure <xref ref-type="fig" rid="Ch1.F2"/> exemplarily shows dry
temperature profiles and their tropopauses for January 2004 with all
constraints described above.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2"><caption><p>CHAMP temperature profiles and their tropopauses between
20 and 40<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N in January 2004. First
tropopause: red; second tropopause: orange. Top and bottom altitudes
of the tropopause algorithm are indicated by horizontal lines.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://www.atmos-meas-tech.net/7/3947/2014/amt-7-3947-2014-f02.png"/>

        </fig>

</sec>
<sec id="Ch1.S2.SS3">
  <title>Binning and statistical methods</title>
      <p>We investigate tropopause characteristics for 5 and
10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> zonal bands (from 2001 to 2013) and for fine-resolved
5<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> latitude–longitude bins (from
2007 to 2013 only, when there are enough data available). Multi-year
monthly statistical measures include the latitude-weighted mean and
its standard deviation, as well as median, quartiles, and extreme
values (summarized in box-and-whisker plots). Inter-annual anomalies are
obtained by subtracting the mean annual cycle at each grid point.</p>
      <p>To analyze ENSO- and QBO-related variability of tropopause
parameters, we apply an ordinary least squares (OLS) regression model
to inter-annual anomalies, using proxy data for ENSO (monthly means of
sea surface temperature (SST), Niño 3.4)<fn id="Ch1.Footn1"><p><uri>http://www.cpc.ncep.noaa.gov/data/indices/ersst3b.nino.mth.81-10.ascii</uri></p></fn> and QBO (Singapore winds at
50 hPa)<fn id="Ch1.Footn2"><p><uri>http://www.cpc.ncep.noaa.gov/data/indices/qbo.u50.index</uri></p></fn>. For the regression we assume that tropopause characteristics
respond to the ENSO SST proxy with a lag of 3 months, and precede the
QBO wind proxy by 3 months <xref ref-type="bibr" rid="bib1.bibx3 bib1.bibx53" id="paren.32"/>. The statistical significance of
the regression is assessed by applying a Student's <inline-formula><mml:math display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test at the 95 %
confidence level.</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <title>Spatial characteristics</title>
<sec id="Ch1.S3.SS1">
  <title>Latitudinal characteristics</title>
      <p>Figure <xref ref-type="fig" rid="Ch1.F3"/> shows the statistics of the first
(lowest) tropopause altitude (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) for January and July.
Two well-defined regions can be distinguished. While tropical
tropopauses are mainly found at 16 to 17 km, extra-tropical tropopauses
occur at lower altitudes between 8 and 12 km. This pattern results
from combined effects of the troposphere and the stratosphere. While
the surface pressure and tropospheric lapse rates determine these basic
latitudinal characteristics <xref ref-type="bibr" rid="bib1.bibx17 bib1.bibx54" id="paren.33"><named-content content-type="pre">e.g., </named-content></xref>,
stratospheric dynamics can also significantly raise or lower
tropopause height <xref ref-type="bibr" rid="bib1.bibx50 bib1.bibx5" id="paren.34"><named-content content-type="pre">e.g., </named-content></xref>.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3"><caption><p>Altitudes of the first tropopause versus latitude for January
(top) and July (bottom) from 2001 to 2013. Shown are the mean (dark
red line), one standard deviation (bright red bars), median (blue
bar), 25 to 75 quartile (box), and extreme values (whiskers) for
5<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> latitudinal bands.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://www.atmos-meas-tech.net/7/3947/2014/amt-7-3947-2014-f03.pdf"/>

        </fig>

      <p>For most latitudes and seasons, the distributions are symmetric: mean
(<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">mean</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) and median (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">med</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) show good
agreement (differences smaller than 500 m) and the median lies at the
center of the box (25 to 75 quartile). The boxes cover 1 km in the
tropics and less than 2 km in the extra-tropics. The standard
deviation covers 1.5 km in the tropics and 1.5 to 3 km in the
extra-tropics. In the subtropics (20 to
30<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>), the spread becomes much larger due to the
transition from tropical to extra-tropical tropopause
characteristics. Furthermore, large deviations between mean and median
are found, and the distribution is skewed in the hemispheric
winter. Variability in the subtropical tropopause break leads to large
variations in the <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> distribution. The higher median
compared to the mean and the position of the median relative to the
quartiles indicates that the major part of tropopauses is located at
high altitudes. The few tropopauses with extra-tropical
characteristics lower the mean significantly.</p>
      <p>Differences between <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">mean</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">med</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> can
also be found at high latitudes in winter in the SH. Extremely high values of
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, as found between 12 and 18 km, raise the mean,
and differences between mean and median exceed 1 km. These high
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> may result from a deficiency of the lapse rate
tropopause definition, because it is not well suited for very cold
stratospheric conditions, as found in the southern hemispheric polar winter
<xref ref-type="bibr" rid="bib1.bibx57" id="paren.35"/>.</p>
      <p>In Fig. <xref ref-type="fig" rid="Ch1.F4"/>, statistics of tropopause
temperature (<inline-formula><mml:math 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>) are shown for January and July as a
function of latitude. Generally, tropopause temperature inversely
correlates with tropopause altitude. High tropical tropopauses feature
low temperatures with a mean <inline-formula><mml:math 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> of 190 K in January and
195 K in July. Lower and therefore warmer extra-tropical tropopauses
reach mean temperatures of 220 K in the summer hemisphere and 215 K in
the winter hemisphere. At southern hemispheric high latitudes, the mean drops to 195 K
due to the extremely cold polar vortex in austral winter.
<inline-formula><mml:math 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>
extremes range from less than 175 K in the tropics to more than 255 K
in the extra-tropics.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4"><caption><p>Temperatures of the first tropopause versus latitude for
January (top) and July (bottom) from 2001 to 2013. Shown are the
mean (dark red line), one standard deviation (bright red bars),
median (blue bar), 25 to 75 quartile (box), and extreme values
(whiskers) for 5<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> latitudinal bands.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://www.atmos-meas-tech.net/7/3947/2014/amt-7-3947-2014-f04.pdf"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5"><caption><p>Altitudes of the first (lowest; red) and second (orange)
tropopause versus latitude for January (top) and July (bottom)
2008. Mean (dark red) and median (blue) of first (solid) and second
(dashed) tropopause of 5<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> latitudinal bands are
indicated by horizontal lines.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://www.atmos-meas-tech.net/7/3947/2014/amt-7-3947-2014-f05.pdf"/>

        </fig>

      <p>As for <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, larger differences between mean
(<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mi mathvariant="normal">mean</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) and median (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mi mathvariant="normal">med</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) are found
between 20 and 30<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> in hemispheric
winter. <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mi mathvariant="normal">mean</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is up to 4 K higher than
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mi mathvariant="normal">med</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>. However, the differences in <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">mean</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>
and <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">med</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> in the southern hemispheric polar winter are not found in
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mi mathvariant="normal">mean</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mi mathvariant="normal">med</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> because of the cold and
stably stratified, nearly isothermal, stratosphere.</p>
      <p>Figure <xref ref-type="fig" rid="Ch1.F5"/> shows the altitude distribution of
individual tropopauses for January and July for the exemplary year
2008. Monthly mean and median are shown for 5<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>
latitudinal bands. The sharp, stepwise edges of lowermost occurring
tropopauses in the subtropics and mid latitudes are due to a
combination of the bottom search altitude, as defined in the tropopause
algorithm (see Sect. <xref ref-type="sec" rid="Ch1.S2.SS2"/>) and dry temperature
variations caused by changing water vapor concentrations. These
variations may be occasionally identified as tropopauses by the
algorithm.</p>
      <p>In Fig. <xref ref-type="fig" rid="Ch1.F5"/>, the different tropopause
characteristics in the winter and summer hemisphere can be seen in the
subtropics for the individual tropopauses. In the summer hemisphere,
the transition from tropical to extra-tropical <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is
rather smooth. In the winter hemisphere, there is a jump from
tropical to extra-tropical characteristics between 20
and 30<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N/S rather than a steady decrease of
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> with latitude. This leads to a large spread of
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, covering more than 10 km.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><caption><p>Mean altitude (km) of first tropopauses for January and July
from 2007 to 2013. White circles denote areas of exceptionally low (solid)
and high (dashed) tropopauses within the respective latitude band.</p></caption>
          <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://www.atmos-meas-tech.net/7/3947/2014/amt-7-3947-2014-f06.pdf"/>

        </fig>

      <p>Figure <xref ref-type="fig" rid="Ch1.F5"/> also shows the latitudinal distribution
of second tropopauses. Double tropopauses mainly occur at subtropical
latitudes throughout the year and at mid and high latitudes in winter,
when the jet is stronger. Double tropopauses close to the subtropical
jet are associated with latitudinal migration of the tropical over the
subtropical tropopause <xref ref-type="bibr" rid="bib1.bibx33" id="paren.36"/>. In the winter hemisphere,
double tropopause occurrence expands further polewards, reflecting the
unstable stratospheric conditions with low stratification. Double
tropopauses mainly occur between 14 and 20 km (multi-year
statistics; not shown). Fewer double tropopauses can be found in the
tropics. They can be found throughout the year and are likely caused
by planetary scale waves. Equatorial Kelvin waves with strong
amplitudes can modify the temperature profile and thus its lapse rate,
which can lead to double tropopauses <xref ref-type="bibr" rid="bib1.bibx33" id="paren.37"/>. Second
tropopauses in the tropics spread between 16 and 22 km. Mean and
median of second tropopauses are generally in good agreement as
differences rarely exceed 200 m (multi-year statistics).</p>
</sec>
<sec id="Ch1.S3.SS2">
  <title>Longitudinal characteristics</title>
      <p>Longitudinal variations in <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math 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> occur
due to land and sea coverage and
orography. Figure <xref ref-type="fig" rid="Ch1.F6"/> shows the multi-year monthly
mean <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> for January and July. It is obvious that
longitudinal variations of tropopause parameters are much smaller than
latitudinal variations.</p>
      <p>Zonal asymmetries appear especially at mid latitudes (40 to 60<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N) in the Northern Hemisphere (NH). These asymmetries
are strongest in winter, but can still be found in spring and fall
(not shown). For January, Fig. <xref ref-type="fig" rid="Ch1.F6"/> shows
exceptionally low <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> above eastern Canada, as well as
above eastern Russia and the western part of the North Pacific (white
solid circles). This pattern occurs due to large-scale Rossby wave
troughs at the eastern side of continents
<xref ref-type="bibr" rid="bib1.bibx57" id="paren.38"/>. <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> varies between less than 8 and
9 km in these areas, while <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is at 9 to 12 km above
the eastern North Pacific and North Atlantic. The pattern becomes
weaker in spring. During summer, these zonal asymmetries vanish
as Rossby wave activity is weakest during that time of the year.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><caption><p>Annual cycle of mean (solid) and median (dashed) for
tropopause altitude (left) and temperature (right) (top: NH; bottom:
SH) using data from September 2001 to December 2013. Colors indicate
different latitudinal bands. For clarity, two extra months are shown
on either side of the full cycle.</p></caption>
          <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://www.atmos-meas-tech.net/7/3947/2014/amt-7-3947-2014-f07.pdf"/>

        </fig>

      <p>Figure <xref ref-type="fig" rid="Ch1.F6"/> also shows zonal asymmetries in the
tropics/subtropics in summer (July) in the NH. <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> reaches more
than 17 km above South Asia (white dashed circle), which is
approximately 1 km higher than the zonal mean. This pattern is caused
by deep convective activity in the Asian monsoon region
<xref ref-type="bibr" rid="bib1.bibx18" id="paren.39"/>.</p>
      <p>Zonal asymmetries are less pronounced in the SH for the multi-year
average.</p>
      <p><inline-formula><mml:math 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> generally shows zonal patterns similar to
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, such as a strong zonal asymmetry in boreal winter
at northern hemispheric mid latitudes.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><caption><p>ENSO (left) and QBO (right) regression coefficients for the
regression of tropopause altitude (top) and temperature
(bottom). Units are meters (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> change) per kelvin or
kelvin (<inline-formula><mml:math 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> change) per kelvin for ENSO regression
coefficients and meters (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> change) per
10 (m s<inline-formula><mml:math 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>) or kelvin (<inline-formula><mml:math 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> change) per
10 (m s<inline-formula><mml:math 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 QBO regression coefficients. Hatched areas
denote areas statistically significant at a significance level
<inline-formula><mml:math display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 95 %. Color bars of the ENSO and QBO coefficients are reversed
for the regression of tropopause altitude and temperature for easier
comparison (higher tropopauses are generally colder).</p></caption>
          <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://www.atmos-meas-tech.net/7/3947/2014/amt-7-3947-2014-f08.pdf"/>

        </fig>

</sec>
</sec>
<sec id="Ch1.S4">
  <title>The annual cycle</title>
      <p>Figure <xref ref-type="fig" rid="Ch1.F7"/> shows the mean annual cycle for the mean and median
of <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math 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> for 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> latitudinal
bands. Generally, <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> follows the cycle of incoming radiation,
with maximum altitudes in summer, a decrease in fall, minimum altitudes in
winter, and an increase in spring. The mean annual cycle is very pronounced
in the subtropics and at mid latitudes, with amplitudes of more than 2 km.
The amplitude decreases towards the tropics and high latitudes. In the tropics,
the annual cycle is weak as <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> changes are only about 1 km. In
the northern hemispheric tropics, between the Equator and 20<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>
shows an annual cycle with maximum altitudes in winter and minimum altitudes
in summer due to the strong influence of the BDC on <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>. The BDC northern hemispheric branch has a strong annual cycle, with
maximum tropical upwelling in winter. As a result, tropical tropopause
altitudes increase in winter, following the strong increase of equatorial
upwelling <xref ref-type="bibr" rid="bib1.bibx56" id="paren.40"/>.</p>
      <p>At high latitudes, the mean annual cycle of <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> fundamentally behaves
differently for the NH and the SH. In the NH, the annual cycle is
a combination of two waves. It consists of a single wave pattern over
subpolar eastern Siberia and North America with maximum
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> in boreal summer (minimum <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> in boreal winter),
and a double wave pattern over northern Europe, western Siberia, and
high Arctic latitudes with maximum <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> in summer and winter in the NH (minimum <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> in spring and fall in the NH)
<xref ref-type="bibr" rid="bib1.bibx57" id="paren.41"/>. In the SH, a reversed mean annual cycle occurs
over Antarctica. It can be explained by the gradual decrease of
stratospheric temperatures during austral winter  due to the lack of
incoming radiation. Minimum stratospheric temperatures and thus
highest <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> are observed in August. Due to the shift in
phase from mid latitudes to high latitudes, there is no pronounced
cycle at all for the latitudinal band 50 to 60<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9"><caption><p>Anomalies of <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (red) and
<inline-formula><mml:math 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> (blue) for
10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> latitudinal bands in the NH. Time range:
September 2001 to December 2013. Months with strong sudden stratospheric warming (SSW) events are
highlighted in orange; months with very weak or no events are
highlighted in gray.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://www.atmos-meas-tech.net/7/3947/2014/amt-7-3947-2014-f09.png"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F10"><caption><p>Anomalies of <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (red) and
<inline-formula><mml:math 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> (blue) for
10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> latitudinal bands in the SH. Time range:
September 2001 to December 2013. Months with exceptionally warm/cool
stratospheric conditions are highlighted in orange and gray,
respectively.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://www.atmos-meas-tech.net/7/3947/2014/amt-7-3947-2014-f10.png"/>

      </fig>

      <p>The comparison of mean and median shows good agreement, except for the
latitudinal bands 20 to 30<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N/S. Differences between mean and median in these
regions have already been found for January and July, as shown in
Fig. <xref ref-type="fig" rid="Ch1.F5"/>. However, the complete annual cycle gives
further insight in the development of tropopause distribution.
In the NH, the median has a very weak annual cycle that follows that of the tropical tropopauses. Due to strong equatorial upwelling
in winter in the NH, most tropopauses are pushed to high altitudes even
within the 20 to 30<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N latitudinal band.
The mean, on the other hand, is strongly affected by the very low
tropopauses occurring in this region (see Fig. <xref ref-type="fig" rid="Ch1.F5"/>).
In boreal summer, such low tropopauses
do not occur due to the smooth decrease of <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> from low
to high latitudes. Therefore, the mean has a pronounced annual cycle,
following that of mid latitudes. As a result, mean and median agree very well during summer in the
NH, but differences between mean and median increase in fall and
maximize (1 km) in winter.</p>
      <p>In the SH, the situation is different, as the annual cycle of
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> has the same phase in the tropics and subtropics. The
median is always higher than the mean, as more tropopauses show
tropical characteristics. The resulting offset is 0.5 km in summer
and 1 km in winter in the SH.</p>
      <p>The shift from tropical to extra-tropical tropopause characteristics
also causes minor differences between mean and median at latitudes
from 30 to 50<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N/S.</p>
      <p>The mean annual cycle of <inline-formula><mml:math 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> is shown in
Fig. <xref ref-type="fig" rid="Ch1.F7"/> (right panel). Again, high
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> corresponds to low <inline-formula><mml:math 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>, and vice versa. A
weak annual cycle is found in the tropics with amplitudes of less than
3 K. It increases towards mid latitudes to about 5 K.</p>
      <p>In the NH, there is hardly any annual cycle for the 40
to 50<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> latitudinal band, and a shift in phase towards
high latitudes. Similar to <xref ref-type="bibr" rid="bib1.bibx57" id="text.42"/>, we also find a single
wave pattern of <inline-formula><mml:math 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> with maximum temperatures in polar NH
summer and minimum temperatures in winter in the NH, rather than a mixed wave
pattern as found for <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>. The amplitude of this
<inline-formula><mml:math 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> annual cycle ranges from 2.5 to 5 K, increasing
towards higher latitudes.</p>
      <p>In the SH, the annual cycle of <inline-formula><mml:math 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> inversely follows that of <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> for all latitudes, including the 6-month
shift of its phase from approximately 50<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S polewards. In
this region, the amplitude strongly increases with latitude to more
than 12 K at polar latitudes. <inline-formula><mml:math 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> is much lower in austral winter than in boreal winter. This difference is caused by the extremely cold
polar vortex in the SH, on the one hand, and the more frequent
occurrence of sudden stratospheric warming (SSW) events in the NH on
the other hand. During SSW events, stratospheric temperatures can
increase by up to 50 K within a couple of days, which affects
<inline-formula><mml:math 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>.</p>
      <p>Differences in the mean and median of <inline-formula><mml:math 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> correspond to
differences in the mean and median of <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>.</p>
</sec>
<sec id="Ch1.S5">
  <title>Inter-annual variability</title>
      <p>As the tropopause is influenced by both tropospheric and stratospheric
conditions, inter-annual anomalies in tropopause properties can be
caused by events in the troposphere, such as ENSO cold and warm
phases, or in the stratosphere, such as SSW events or QBO.</p>
      <p>ENSO has an impact on weather and climate on a global scale
<xref ref-type="bibr" rid="bib1.bibx11" id="paren.43"/>. ENSO warm phases cause tropospheric warming and
stratospheric cooling <xref ref-type="bibr" rid="bib1.bibx26" id="paren.44"/>. For zonal mean temperatures at
low and mid latitudes, the ENSO signal shows a transition from warming
to cooling near the tropopause. However, the transition of the local
temperature response occurs well below the tropopause
<xref ref-type="bibr" rid="bib1.bibx41" id="paren.45"/>, yielding strong longitudinal variations
of tropopause characteristics <xref ref-type="bibr" rid="bib1.bibx13" id="paren.46"/>.</p>
      <p>There was strong ENSO activity during the time range from 2007 to
2013. Major warm phases occurred during 2006/2007 and 2009/2010, and
major cold phases during 2007/2008, 2008/2009, 2010/2011, and
2011/2012.</p>
      <p>Figure <xref ref-type="fig" rid="Ch1.F8"/> depicts ENSO and QBO regression
coefficients for the regression of tropopause altitude and
temperature. The strongest ENSO signal occurs above the tropical
central Pacific (120 to 180<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W), where
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> correlates positively with ENSO warm phases and
<inline-formula><mml:math 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> correlates inversely with ENSO warm phases (please
note that the color bars of the ENSO and QBO  coefficients are reversed for
the regression of tropopause altitude and temperature for easier
comparison). Another ENSO signal occurs for <inline-formula><mml:math 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> above the
Maritime Continent (100 to 160<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E), where
<inline-formula><mml:math 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> correlates positively with ENSO warm phases. These
results agree well with the findings of <xref ref-type="bibr" rid="bib1.bibx31" id="text.47"/>. QBO
generally influences tropopause characteristics on a smaller scale and
shows the out-of-phase character   of the tropics and mid to high
latitudes <xref ref-type="bibr" rid="bib1.bibx1" id="paren.48"/>. <inline-formula><mml:math 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> and QBO anomalies
correlate positively between 20<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S and 20<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N
and are statistically significant for most bins. There are also some
statistically significant areas at southern hemispheric mid and high latitudes, which
agree well with results of <xref ref-type="bibr" rid="bib1.bibx36" id="text.49"/>.</p>
      <p>Furthermore, we analyze the zonal mean response of tropopause
parameters to inter-annual atmospheric variability. Anomalies of the
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">mean</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (red) and <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mi mathvariant="normal">mean</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (blue) for the
different latitudinal bands are shown in Fig. <xref ref-type="fig" rid="Ch1.F9"/>
(NH) and Fig. <xref ref-type="fig" rid="Ch1.F10"/> (SH) for September 2001 to
December 2013.</p>
      <p>In the tropics, variations are generally small with altitude
(temperature) anomalies being smaller than 750 m (3 K) for the
observed time range. These variations are caused by a combination of
QBO and ENSO (see above). Anomalies at latitudes between
20 and 50<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> show some variability, but no
distinct pattern. At high latitudes, however, stratospheric
conditions have a strong impact on polar <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and
<inline-formula><mml:math 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>, especially in winter and spring.</p>
      <p>SSW events have a relatively strong influence on tropopause
characteristics. During SSW events, stratospheric temperatures can
increase by up to 50 K within a couple of days
<xref ref-type="bibr" rid="bib1.bibx25" id="paren.50"/> and cause low <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and high
<inline-formula><mml:math 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>.</p>
      <p>In the NH, relatively strong SSW events occurred in the winter of 2003/2004,
2005/2006, 2008/2009, 2009/2010, and 2012/2013 during the observed
time range. Figure <xref ref-type="fig" rid="Ch1.F9"/> shows lower <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>
and higher <inline-formula><mml:math 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> for these months. In January/February
2005, 2007, and 2011, when no or only a very weak SSW event occurred,
tropopause anomalies were significantly higher and colder (up to
1.5 km/7 K) at high latitudes in the NH. Generally, the signal appears not
only at polar latitudes, but between 60 and
90<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N.</p>
      <p>During the observed time range, only one SSW event took place in the SH. In
Fig. <xref ref-type="fig" rid="Ch1.F10"/>, <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> anomalies of <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2 km
(<inline-formula><mml:math 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> anomalies of 10 K) can be seen late on in the year 2002 for the 80 to
90<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S latitudinal band. This event was so strong that it even
affected tropopause characteristics in the 50 to 60<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S
latitudinal band. Stratospheric conditions were also exceptionally warm for
winter and spring
2004<fn id="Ch1.Footn3"><p><uri>http://www.cpc.ncep.noaa.gov/products/stratosphere/winter_bulletins/</uri></p></fn>
and spring 2012<fn id="Ch1.Footn4"><p><uri>http://www.theozonehole.com/2012ozonehole.htm</uri></p></fn>
over the Antarctic region, yielding tropopause altitude and temperature
anomalies of up to <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2 km and 7 K. For the years 2006, 2008, 2010, and
2011, the polar vortex was very cold and stable, often until December<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula>.
This led to unusually cold stratospheric conditions and, as a consequence, to
high <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and low <inline-formula><mml:math 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>.</p>
</sec>
<sec id="Ch1.S6" sec-type="conclusions">
  <title>Summary</title>
      <p>RO observations featuring high vertical resolution,
global availability, and high accuracy, were used to investigate global
characteristics of the lapse rate tropopause. Climatological tropopause
characteristics for the RO record from 2001 to 2013 extend previous studies
on the tropopause structure and its temporal variability. Latitudinal and
longitudinal variations, as well as the annual cycle and inter-annual
variability, were analyzed for tropopause   altitude
(<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) and temperature (<inline-formula><mml:math 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>).</p>
      <p>Tropopause properties were analyzed using individual measurements, as
well as averaged data. To obtain information about the latitudinal
distribution of <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math 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>, the mean and
its standard deviation, as well as median, quartiles, and extreme
values (box-and-whisker plots) were shown for 5<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> latitudinal
bands for multi-year monthly averages.</p>
      <p><inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math 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> showed the well-known latitudinal
structure with high and cold tropical tropopauses (16 to 17 km/190 to
195 K) and lower and warmer extra-tropical tropopauses (8 to 12 km/up to
230 K). Double tropopauses were found at the Equator, close to the
subtropical jets, and at winter hemispheric mid and high latitudes.</p>
      <p>Variability in the subtropical tropopause break leads to a large
spread in the <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math 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> distribution in
the 20 to 30<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> latitudinal band during
winter. Since the major part of tropopauses is located at high
altitudes, but some tropopauses also show extra-tropical
characteristics, the median (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">med</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) is systematically
higher than the mean (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">mean</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>). Differences exceed 1 km in
both the NH and SH. Accordingly, <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mi mathvariant="normal">mean</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is up to 4 K higher than
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mi mathvariant="normal">med</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>.</p>
      <p>For second tropopauses, the mean and median of <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and
<inline-formula><mml:math 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> generally showed small differences. The distribution
showed weak latitudinal variations, with most second tropopauses
between 14 and 20 km in the extra-tropical winter hemisphere and
between 18 and 20 km in the tropics.</p>
      <p>Longitudinal variations of <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math 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> occur
due to land–sea coverage and orography. Zonal asymmetries at northern hemispheric mid latitudes (40  to
60<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N) are caused by
large-scale Rossby wave activity, most pronounced in boreal winter
<xref ref-type="bibr" rid="bib1.bibx57" id="paren.51"/>. In boreal summer, strong convective activity in the
Asian monsoon region leads to exceptionally high and cold tropopauses
<xref ref-type="bibr" rid="bib1.bibx18" id="paren.52"/>.</p>
      <p>The mean annual cycles of <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math 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> vary
strongly in amplitude with latitude. While smallest amplitudes were
found in the tropics, amplitudes were largest at mid and southern hemispheric high
latitudes. At northern hemispheric low latitudes, tropopause parameters follow the
annual cycle of the BDC with maximum
tropical upwelling in winter, leading to higher/colder tropopauses in
winter than in summer. Therefore, the mean annual cycle is in phase
within 20<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S and 20<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N. A 6-month phase
shift of the annual cycle was found over Antarctica. Due to the lack
of incoming radiation in polar winter in the SH and the strong polar vortex,
very low stratospheric temperatures lead to highest <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>
(lowest <inline-formula><mml:math 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>) during that time of the year.</p>
      <p>The mean annual cycle of <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">mean</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">med</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>
(<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mi mathvariant="normal">mean</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mi mathvariant="normal">med</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) agreed well for all
latitudinal bands except 20 to
30<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N/S. In this region, the mean was systematically lower
than the median throughout the year. Furthermore, we showed that the
20 to 30<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N median followed the tropical
tropopause annual cycle as most tropopauses are located at high
altitudes. The mean, however, is affected by some very low tropopauses
that mainly occur during boreal winter and therefore followed the
extra-tropical tropopause annual cycle.</p>
      <p>Inter-annual variability of tropopause characteristics can be caused by
both tropospheric and stratospheric events. An OLS regression analysis
showed a strong ENSO signal above the tropical central Pacific and a QBO
signal in the tropics, confirming previous studies on the influence of ENSO
and QBO on tropopause altitude and temperature.</p>
      <p>Furthermore, anomalies of averaged <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and
<inline-formula><mml:math 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> showed signatures of both ENSO and QBO at low
latitudes. At high latitudes, large anomalies could be attributed to
strong variability of polar vortex strength, including SSW events.</p>
      <p>The ability to detect reliable trends in the relatively short RO
record is limited by the large atmospheric variability during the last
couple of years (e.g., a strong El Niño event in 2009/2010 and two
strong La Niña events in 2010/2011 and 2011/2012). Even for OLS
regression analyses (including ENSO and QBO), tropopause trends were
inconclusive for different periods (2001 to 2010; 2001 to 2012).
Therefore, we did not include a discussion of tropopause parameter
trends in this paper.</p>
</sec>

      
      </body>
    <back><ack><title>Acknowledgements</title><p>We thank two anonymous reviewers for their constructive comments and
suggestions, which helped to improve the manuscript significantly. We
would like to acknowledge UCAR/CDAAC for the provision of level 1 RO data
and WEGC for the provision of level 2 RO data. Special thanks to
M. Schwärz and J. Fritzer for the contributions in OPS system
development and operations. This study was funded by the Austrian Science
Fund (FWF) under research grants no. P22293-N21 (BENCHCLIM) and T620-N29
(DYNOCC).<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
Edited by: R. Anthes</p></ack><ref-list>
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