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  <front>
    <journal-meta><journal-id journal-id-type="publisher">ACP</journal-id><journal-title-group>
    <journal-title>Atmospheric Chemistry and Physics</journal-title>
    <abbrev-journal-title abbrev-type="publisher">ACP</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Atmos. Chem. Phys.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1680-7324</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/acp-18-2097-2018</article-id><title-group><article-title>Total ozone trends from 1979 to 2016 derived from five merged
observational datasets – the emergence into ozone recovery</article-title>
      </title-group><?xmltex \runningtitle{Total ozone trends (1979--2016)}?><?xmltex \runningauthor{M. Weber et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Weber</surname><given-names>Mark</given-names></name>
          <email>weber@uni-bremen.de</email>
        <ext-link>https://orcid.org/0000-0001-8217-5450</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Coldewey-Egbers</surname><given-names>Melanie</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-9275-498X</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Fioletov</surname><given-names>Vitali E.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-2731-5956</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Frith</surname><given-names>Stacey M.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5 aff6">
          <name><surname>Wild</surname><given-names>Jeannette D.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Burrows</surname><given-names>John P.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-1547-8130</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Long</surname><given-names>Craig S.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Loyola</surname><given-names>Diego</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-8547-9350</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>University of Bremen, Bremen, Germany</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>German Aerospace Center (DLR), Oberpfaffenhofen, Germany</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Environment and Climate Change Canada, Toronto, Canada</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Science Systems and Applications Inc., Lanham, MD, USA</institution>
        </aff>
        <aff id="aff5"><label>5</label><institution>NOAA/NCEP Climate Prediction Center, College Park, MD, USA</institution>
        </aff>
        <aff id="aff6"><label>6</label><institution>INNOVIM, Greenbelt, MD, USA</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Mark Weber (weber@uni-bremen.de)</corresp></author-notes><pub-date><day>14</day><month>February</month><year>2018</year></pub-date>
      
      <volume>18</volume>
      <issue>3</issue>
      <fpage>2097</fpage><lpage>2117</lpage>
      <history>
        <date date-type="received"><day>11</day><month>September</month><year>2017</year></date>
           <date date-type="rev-request"><day>13</day><month>September</month><year>2017</year></date>
           <date date-type="rev-recd"><day>8</day><month>January</month><year>2018</year></date>
           <date date-type="accepted"><day>9</day><month>January</month><year>2018</year></date>
      </history>
      <permissions>
        
        
      <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://acp.copernicus.org/articles/.html">This article is available from https://acp.copernicus.org/articles/.html</self-uri><self-uri xlink:href="https://acp.copernicus.org/articles/.pdf">The full text article is available as a PDF file from https://acp.copernicus.org/articles/.pdf</self-uri>
      <abstract>
    <?pagebreak page2097?><p id="d1e177">We report on updated trends using different merged datasets from satellite
and ground-based observations for the period from 1979 to 2016. Trends were
determined by applying a multiple linear regression (MLR) to annual mean
zonal mean data. Merged datasets used here include NASA MOD v8.6 and National
Oceanic and Atmospheric Administration (NOAA) merge v8.6, both based on data
from the series of Solar Backscatter UltraViolet (SBUV) and SBUV-2 satellite
instruments (1978–present) as well as the Global Ozone Monitoring Experiment
(GOME)-type Total Ozone (GTO) and GOME-SCIAMACHY-GOME-2 (GSG) merged datasets
(1995–present), mainly comprising satellite data from GOME, the Scanning
Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY), and
GOME-2A. The fifth dataset consists of the monthly mean zonal mean data from
ground-based measurements collected at World Ozone and UV Data Center
(WOUDC). The addition of four more years of data since the last World
Meteorological Organization (WMO) ozone assessment (2013–2016) shows that
for most datasets and regions the trends since the stratospheric halogen
reached its maximum (<inline-formula><mml:math id="M1" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1996 globally and <inline-formula><mml:math id="M2" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 2000 in polar regions)
are mostly not significantly different from zero. However, for some
latitudes, in particular the Southern Hemisphere extratropics and Northern
Hemisphere subtropics, several datasets show small positive trends of
slightly below <inline-formula><mml:math id="M3" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>1 <inline-formula><mml:math id="M4" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">decade</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> that are barely statistically
significant at the 2<inline-formula><mml:math id="M5" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula> uncertainty level. In the tropics, only two
datasets show significant trends of <inline-formula><mml:math id="M6" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.5 to <inline-formula><mml:math id="M7" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.8 <inline-formula><mml:math id="M8" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">decade</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>,
while the others show near-zero trends. Positive trends since 2000 have been
observed over Antarctica in September, but near-zero trends are found in
October as well as in March over the Arctic. Uncertainties due to possible
drifts between the datasets, from the merging procedure used to combine
satellite datasets and related to the low sampling of ground-based data, are
not accounted for in the trend analysis. Consequently, the retrieved trends
can be only considered to be at the brink of becoming significant, but there
are indications that we are about to emerge into the expected recovery phase.
However, the recent trends are still considerably masked by the observed
large year-to-year dynamical variability in total ozone.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p id="d1e264">The stratospheric ozone layer protects the biosphere from harmful UV radiation.
One of the important measures that regulate the amount of UV radiation reaching
the surface is the total column amount of ozone or, in short, total ozone, which
is defined by the vertical integration of the ozone number density
profile. As the ozone profile peaks in the lower stratosphere, total ozone is
also representative of lower stratospheric ozone (from tropopause to about 27 <inline-formula><mml:math id="M9" display="inline"><mml:mi mathvariant="normal">km</mml:mi></mml:math></inline-formula>).
The strong decline in global total ozone observed throughout the
1980s and the discovery of the Antarctic ozone hole
<xref ref-type="bibr" rid="bib1.bibx12 bib1.bibx24 bib1.bibx71" id="paren.1"/> raised the awareness for the need to
protect the ozone layer that culminated in the 1985 Vienna Convention to take
action. The main cause for the severe ozone depletion was identified as
halogen-containing substances also called ozone-depleting substances (ODSs), that are
sufficiently long-lived to reach the stratosphere, releasing halogens that
destroy ozone <xref ref-type="bibr" rid="bib1.bibx70" id="paren.2"><named-content content-type="pre">e.g.,</named-content></xref>. The Montreal Protocol and its
amendments which were initiated in 1986 became a binding agreement on phasing
out ODSs, that ultimately initiated a  decline in stratospheric
halogens about 10 years later <xref ref-type="bibr" rid="bib1.bibx1 bib1.bibx69" id="paren.3"><named-content content-type="pre">e.g.,</named-content></xref>.</p>
      <?pagebreak page2098?><p id="d1e287">Satellite and ground-based data revealed a dramatic total ozone column
decline of about <inline-formula><mml:math id="M10" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula> to <inline-formula><mml:math id="M11" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M12" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">decade</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> (dependent on latitude)
throughout the 1980s until the mid-1990s that was linked to observed ODS
increases <xref ref-type="bibr" rid="bib1.bibx59" id="paren.4"><named-content content-type="post">and references therein</named-content></xref>. In the Northern
Hemisphere (NH), the lowest annual mean total column ozone levels occurred in
1993, resulting from enhanced stratospheric aerosol-related ozone loss after
the major volcanic eruption of Mt. Pinatubo in 1991 a few years before the
peak in stratospheric ODSs was reached <xref ref-type="bibr" rid="bib1.bibx9" id="paren.5"><named-content content-type="pre">e.g.,</named-content></xref>. In the late
1990s, annual mean total ozone increased rapidly in the NH, faster than
expected from the slow decrease in ODSs as a result of measures taken in
response to the Montreal Protocol and its amendments. This rapid increase in
the NH <xref ref-type="bibr" rid="bib1.bibx34" id="paren.6"/> revealed the important role of atmospheric dynamics,
notably ozone transport via the Brewer–Dobson circulation that causes large
variability on interannual and intra-annual timescales <xref ref-type="bibr" rid="bib1.bibx31 bib1.bibx60 bib1.bibx19 bib1.bibx34 bib1.bibx89" id="paren.7"><named-content content-type="pre">e.g.,</named-content></xref>.</p>
      <p id="d1e346">Apart from the interannual variability, total ozone levels have remained
globally stable since about the year 2000. The success of the Montreal Protocol
agreement is thus undisputed as the earlier decline in total ozone was
successfully stopped <xref ref-type="bibr" rid="bib1.bibx59" id="paren.8"/>. Since ODS levels (outside of the polar
regions) are expected to decrease slowly at about one-third of the absolute rate of
the earlier ODS increase <xref ref-type="bibr" rid="bib1.bibx19" id="paren.9"><named-content content-type="pre">see Fig. 2 in</named-content></xref>, it is expected that
the onset of ozone recovery should be evident. There are two possible explanations as to why this has not been observed
globally yet. Positive ozone trends are too small to be detected relative to the
observed large variability and, secondly, ODS-related ozone trends are in competition
with trends due to climate feedbacks. The latter means total ozone trends are
not necessarily congruent with stratospheric halogen trends; e.g., they have the same
ratio of trends before and after the ODS peak as ODSs themselves. For instance, the
observed increase  of upper stratospheric ozone (<inline-formula><mml:math id="M13" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 2 hPa) of about
2–4 <inline-formula><mml:math id="M14" display="inline"><mml:mi mathvariant="normal">%</mml:mi></mml:math></inline-formula> per decade since 2000 had about equal contributions from climate
change and ODS changes as deduced from chemistry–climate models <xref ref-type="bibr" rid="bib1.bibx59" id="paren.10"><named-content content-type="pre">see Figs. 2–20 and related references in</named-content></xref>.</p>
      <p id="d1e376">Regular stratospheric ozone observations started with ground-based Dobson
spectrophotometers in the mid-1920s <xref ref-type="bibr" rid="bib1.bibx21 bib1.bibx74" id="paren.11"/>. The number
of stations with regular Dobson spectrophotometer observations strongly
increased after the International Geophysical Year (IPY) 1957/1958
<xref ref-type="bibr" rid="bib1.bibx21" id="paren.12"/>. First measurements of ozone from space occurred in 1970 with
the launch of the BUV (Backscatter UV) spectrometer. Continuous measurements
from space started at the end of 1978 with the Solar Backscatter
UltraViolet (SBUV) and Total Ozone Mapping Spectrometer (TOMS) instruments
<xref ref-type="bibr" rid="bib1.bibx51" id="paren.13"/>. Starting in 1995, the SBUV-2 and TOMS observations were
complemented by the European Global Ozone Monitoring Experiment (GOME)-type
instruments that in addition to ozone measure other important species (NO<inline-formula><mml:math id="M15" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>
and OClO) relevant for stratospheric ozone chemistry
<xref ref-type="bibr" rid="bib1.bibx8 bib1.bibx84 bib1.bibx62" id="paren.14"><named-content content-type="pre">e.g.,</named-content></xref>.</p>
      <p id="d1e403">Global and continuous ozone observations from space now span a time period of
nearly 40 years. These observations now extend to about 20 years after the
global stratospheric ODS peak occurring in approximately 1996 (or 16 years after
the later ODS peak in polar regions). This is near the minimum number of years
of observations required to obtain statistically significant ozone trends in the
absence of other competing processes contributing to long-term ozone changes
<xref ref-type="bibr" rid="bib1.bibx86" id="paren.15"/>.</p>
      <p id="d1e409">This paper reports on updated total ozone trends by adding four more years of
data (2013–2016) compared to results presented in the last World Meteorological Organization (WMO) ozone assessment
<xref ref-type="bibr" rid="bib1.bibx59" id="paren.16"/>. As most satellite instruments have a limited lifetime of
generally less than 10 years, long-term trends can only be investigated  by
using merged datasets. Currently, there are four different satellite datasets
available; two of them rely on the series of SBUV instruments covering the
period  since 1979 <xref ref-type="bibr" rid="bib1.bibx28 bib1.bibx91" id="paren.17"/> and two datasets combine the
European UV nadir sounders (GOME, GOME-2, OMI, SCIAMACHY) starting from 1995
<xref ref-type="bibr" rid="bib1.bibx45 bib1.bibx38 bib1.bibx89 bib1.bibx14" id="paren.18"/>. These satellite
datasets are complemented by a fifth dataset that is based on monthly mean
zonal mean total ozone data derived from ground-based UV spectrometer data,
mainly Dobsons and Brewers, which are collected at the WOUDC (World Ozone and UV
Database Center) at Environment and Climate Change Canada <xref ref-type="bibr" rid="bib1.bibx25" id="paren.19"/>.
The regression analysis applied to these data is similar to that
described in <xref ref-type="bibr" rid="bib1.bibx9" id="text.20"/> and focuses on annual mean zonal mean data. The
main difference to the earlier study is that we use in this paper five merged
datasets, while in <xref ref-type="bibr" rid="bib1.bibx9" id="text.21"/> only the GSG and SBUV MOD datasets were
used. All datasets used here were updated up to and including 2016 (four more years added).
In <xref ref-type="bibr" rid="bib1.bibx9" id="text.22"/>, the piecewise linear trends (PLTs) and equivalent effective stratospheric chlorine (EESC) term were
fitted, while here only the independent linear trends (ILTs) before and after the
turnaround in ODSs are considered for the reasons discussed in Sect. <xref ref-type="sec" rid="Ch1.S3.SS2"/>.</p>
      <?pagebreak page2099?><p id="d1e436">In Sect. <xref ref-type="sec" rid="Ch1.S2"/>, the five merged datasets are briefly described and
followed  in Sect. <xref ref-type="sec" rid="Ch1.S3"/> by a description of the multiple linear regression (MLR) used in the
trend analysis. Section <xref ref-type="sec" rid="Ch1.S4"/> shows the
results of total ozone trends in rather broad zonal bands (Southern Hemisphere and Northern
Hemisphere extratropics and tropics) that are commonly used for ozone profile
trends <xref ref-type="bibr" rid="bib1.bibx77" id="paren.23"/>. This will allow us to look at the consistency
between lower stratospheric ozone (derived from profile observations) and total
ozone trends.  In Sect. <xref ref-type="sec" rid="Ch1.S5"/>, latitude-dependent annual mean trends
are presented and discussed.  Results will be also shown in Sect. <xref ref-type="sec" rid="Ch1.S6"/> for selected months
during polar spring as recovery of Antarctic ozone levels in September has been
recently reported by <xref ref-type="bibr" rid="bib1.bibx72" id="text.24"/>. A summary and
final remarks are given in Sect. <xref ref-type="sec" rid="Ch1.S7"/>.</p>
</sec>
<sec id="Ch1.S2">
  <title>Total ozone datasets</title>
      <p id="d1e464">A total of five merged and
homogenized datasets are used in this study. There are two different versions of
merged datasets from the series of SBUV and SBUV-2 satellite instruments (NASA
SBUV MOD v8.6 and National Oceanic and Atmospheric Administration (NOAA) SBUV Merge v8.6) that have been operated continuously since the
late 1970s. Two merged datasets are mainly based on the series of European
satellite spectrometers GOME, Scanning Imaging Absorption Spectrometer for
Atmospheric Chartography (SCIAMACHY), and GOME-2A which use
different retrieval algorithms and slightly different merging approaches
(University of Bremen GSG and ESA/DLR GTO datasets). Both datasets cover the
period from 1995 to today. The fifth dataset is the monthly mean zonal mean
data from the network of ground-based Brewers, Dobsons, SAOZ (Système
d'Analyse par Observations Zénithales), and filter instruments collected at
the WOUDC <xref ref-type="bibr" rid="bib1.bibx25" id="paren.25"/>. The data sources
are summarized in Table <xref ref-type="table" rid="Ch1.T1"/> and the various datasets are briefly
described  in the following subsections.</p>

<?xmltex \floatpos{t}?><?pagebreak page2100?><table-wrap id="Ch1.T1" specific-use="star"><caption><p id="d1e475">Start year and source of merged total ozone datasets.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="3">
     <oasis:colspec colnum="1" colname="col1" align="justify" colwidth="113.811024pt"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Dataset</oasis:entry>  
         <oasis:entry colname="col2">Start year</oasis:entry>  
         <oasis:entry colname="col3">Source</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">NASA MOD v8.6</oasis:entry>  
         <oasis:entry colname="col2">1970</oasis:entry>  
         <oasis:entry colname="col3"><uri>http://acdb-ext.gsfc.nasa.gov/Data_services/merged/</uri></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">NOAA SBUV Merge v8.6</oasis:entry>  
         <oasis:entry colname="col2">1978</oasis:entry>  
         <oasis:entry colname="col3"><uri>ftp://ftp.cpc.ncep.noaa.gov/SBUV_CDR/</uri></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">GSG</oasis:entry>  
         <oasis:entry colname="col2">1995</oasis:entry>  
         <oasis:entry colname="col3"><uri>http://www.iup.uni-bremen.de/gome/wfdoas</uri></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">GTO</oasis:entry>  
         <oasis:entry colname="col2">1995</oasis:entry>  
         <oasis:entry colname="col3"><uri>http://atmos.eoc.dlr.de/gome/gto-ecv.html</uri></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">WOUDC</oasis:entry>  
         <oasis:entry colname="col2">1964</oasis:entry>  
         <oasis:entry colname="col3"><uri>http://woudc.org/archive/Projects-Campaigns/ZonalMeans/</uri></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

<sec id="Ch1.S2.SS1">
  <title>NASA SBUV MOD v8.6</title>
      <p id="d1e577">The NASA Merged Ozone Data (MOD) time series is constructed using data from the Nimbus 4 BUV and
Nimbus 7 SBUV instruments and from six NOAA SBUV-2 instruments numbered 11, 14,
and 16–19 <xref ref-type="bibr" rid="bib1.bibx28" id="paren.26"/>. The instruments are of similar design, and
measurements from each are processed using the same v8.6 retrieval algorithm
<xref ref-type="bibr" rid="bib1.bibx5" id="paren.27"/>.  The version 8.6 data contains ozone profiles in mixing
ratio on pressure levels and in Dobson units on layers. The total ozone is then
provided as the sum of the layer data.</p>
      <p id="d1e586">To maintain consistency over the entire time series, the
individual instrument records are analyzed with respect to each other and
absolute calibration adjustments are applied as needed based on comparison of
radiance measurements during periods of instrument overlap <xref ref-type="bibr" rid="bib1.bibx17" id="paren.28"/>.
Data from NOAA-9 SBUV-2 and data taken as the Equator crossing time as the
satellite approaches the terminator are of lesser quality and are excluded from
the MOD composite <xref ref-type="bibr" rid="bib1.bibx17 bib1.bibx40" id="paren.29"/>. See <xref ref-type="bibr" rid="bib1.bibx28" id="text.30"/> for a
detailed description of the data used in MOD.</p>
      <p id="d1e598">For total ozone, differences between SBUV measurements computed during the
overlap periods are typically less than the differences between any given
instrument and external data sources <xref ref-type="bibr" rid="bib1.bibx43 bib1.bibx51 bib1.bibx28" id="paren.31"/>. Therefore, no additional adjustments to the individual
instrument measurements are applied, as the adjustments are generally smaller
than the inherent instrument uncertainty. Moreover, there is no physical
rationale to identify one instrument as better than the others, so MOD comprises
all available data. During periods of overlap, data from multiple instruments
are averaged.</p>
</sec>
<sec id="Ch1.S2.SS2">
  <title>NOAA SBUV Merge v8.6</title>
      <p id="d1e610">The NOAA SBUV Merge v8.6 is based on the same ozone profile data retrieved with
the v8.6 retrieval algorithm as described in Sect. <xref ref-type="sec" rid="Ch1.S2.SS1"/>. There are
many methods by which the data from the various satellites can be combined.
Averaging data from all available satellites in a common period as done in NASA
SBUV MOD (Sect. <xref ref-type="sec" rid="Ch1.S2.SS1"/>) is one method to create a combined dataset.
However, characteristics of the measurement (e.g., time of measurement) are lost
by this averaging.  Another method is to identify a representative satellite for
each time period as is done in the NOAA-SBUV Merge dataset.  Additionally, it
must be determined if the data from the individual satellites can be adjusted to
improve intersatellite consistency.</p>
      <p id="d1e617"><xref ref-type="bibr" rid="bib1.bibx40" id="text.32"/> shows that SBUV version 8.6 ozone profile data from
individual satellites after a meticulous cross-instrument calibration   can
differ by as much as 5 % in various layers of the profile from data from MLS on
UARS and Aura, and SAGE II due to bias differences between the instruments and
potential diurnal issues above 4 hPa. Recent studies <xref ref-type="bibr" rid="bib1.bibx91" id="paren.33"/> show
similar differences between NOAA-18 and NOAA-19.  The NOAA-SBUV dataset
incorporates some corrections to individual satellite profiles.  In the later
period of NOAA-16 to -19, the overlaps are long, and each satellite can be
compared and adjusted directly to NOAA-18 removing the small intersatellite
biases <xref ref-type="bibr" rid="bib1.bibx91" id="paren.34"/>.</p>
      <p id="d1e628">Strong drifts in the early satellites and poor quality of NOAA-9 and NOAA-14
data can create unphysical trends when a successive head-to-tail adjustment
scheme is used in the early period <xref ref-type="bibr" rid="bib1.bibx80" id="paren.35"/>.  The current NOAA-SBUV
dataset does not adjust the Nimbus-7 or NOAA-11 data and does not include the
NOAA-9 ascending node.  Only the NOAA-9 descending data are adjusted to fit
between the ascending and descending nodes of NOAA-11.  NOAA-14 data do not
appear in the final dataset, but they are used to enable a fit of NOAA-9 descending
to NOAA-11 descending where no overlap exists <xref ref-type="bibr" rid="bib1.bibx91" id="paren.36"/>.</p>
      <p id="d1e637">The total ozone product is calculated so that it remains the sum of the adjusted
profile layer data. When the resulting profiles are added, many of the profile
adjustments are offset.  The final total ozone product is altered by less than
1 <inline-formula><mml:math id="M16" display="inline"><mml:mi mathvariant="normal">%</mml:mi></mml:math></inline-formula>, and in most cases by less than 0.5 <inline-formula><mml:math id="M17" display="inline"><mml:mi mathvariant="normal">%</mml:mi></mml:math></inline-formula> from the original single
satellite dataset.</p>
</sec>
<sec id="Ch1.S2.SS3">
  <title>GSG</title>
      <p id="d1e661">The merged GOME, SCIAMACHY, and GOME-2A (GSG) total ozone time series
<xref ref-type="bibr" rid="bib1.bibx38 bib1.bibx89 bib1.bibx90" id="paren.37"/> consists of total ozone data that
were retrieved using the University of Bremen weighting function DOAS
(WFDOAS) algorithm <xref ref-type="bibr" rid="bib1.bibx13 bib1.bibx88" id="paren.38"/>. The most recent
modification was in the GOME-2A data record. In the WFDOAS retrieval, the
change in the GOME-2A instrument function with time <xref ref-type="bibr" rid="bib1.bibx18" id="paren.39"/> was
accounted for by convolving ozone cross-section data with instrument function
derived from daily spectral solar observations with the same instrument.
Without such a correction, a drift of about <inline-formula><mml:math id="M18" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">1.5</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M19" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">decade</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>
becomes apparent.</p>
      <p id="d1e700">The SCIAMACHY and GOME-2A observations were successively adjusted  for the
apparent offsets to be continuous with the original GOME data. Biases (offsets)
were determined as a function of latitude in steps of 1<inline-formula><mml:math id="M20" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> using monthly
zonal means and smoothed over 10<inline-formula><mml:math id="M21" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> latitudes.  Drift corrections were not
applied here.</p>
      <p id="d1e721">There appears a drop of the original GOME-2 data record  during the 2009–2011
period relative to SCIAMACHY, which seems to be larger than the overall bias
between two datasets (see Fig. 1 in <xref ref-type="bibr" rid="bib1.bibx87" id="altparen.40"/>). However, the very
large overlap period  from 2007 to 2012 between SCIAMACHY and GOME-2A was
an advantage and no further corrections beyond the latitude-dependent biases
were needed to adjust GOME-2A. Due to this temporary drop in the GOME-2A  data,
the SCIAMACHY data became the preferred choice in the merged (GSG) dataset
during the overlap period (2007–2011). In comparison, the overlap period for
SCIAMACHY and GOME was very short, less than 10 months (2002–2003).</p>
      <p id="d1e727">The merged GSG data are in very good agreement with WOUDC zonal mean monthly data
<xref ref-type="bibr" rid="bib1.bibx25" id="paren.41"><named-content content-type="pre">update from</named-content><named-content content-type="post">and Sect. <xref ref-type="sec" rid="Ch1.S2.SS5"/></named-content></xref> as shown in Fig. 1 of <xref ref-type="bibr" rid="bib1.bibx87" id="text.42"/>.</p>
</sec>
<sec id="Ch1.S2.SS4">
  <title>GTO</title>
      <p id="d1e747">The GOME-type Total Ozone Essential Climate Variable (GTO-ECV) data record
<xref ref-type="bibr" rid="bib1.bibx14" id="paren.43"/> has been created within the framework of the European
Space Agency's Climate Change Initiative (ESA-CCI) ozone project. Observations
from GOME, SCIAMACHY, OMI, and GOME-2A were combined into a single homogeneous
record that covers the period from July 1995 to December 2016. The total ozone
columns were retrieved using the GOME-type Direct FITting (GODFIT) version 3
algorithm <xref ref-type="bibr" rid="bib1.bibx44" id="paren.44"/>. In order to correct for small remaining intersensor
biases and temporal drifts, GOME, SCIAMACHY, and GOME-2A measurements were
adjusted to OMI before merging into a cohesive record. Appropriate correction
factors were determined during overlap periods as a function of latitude and
time. Furthermore, special emphasis was placed on the analysis of
spatiotemporal sampling differences intrinsic to the satellite data and on
their impact on the merged product.</p>
      <p id="d1e756">Ground-based validation using Brewer, Dobson, and UV–visible instruments has
shown that the GTO-ECV level-3 data record is of the same high quality as the
individual level-2 data products that constitute it. Both absolute agreement and
long-term stability are excellent with respect to the ground reference for
almost all latitudes <xref ref-type="bibr" rid="bib1.bibx14 bib1.bibx39" id="paren.45"/> and well within the
Global Climate Observing System (GCOS) target requirements <xref ref-type="bibr" rid="bib1.bibx50" id="paren.46"/>. A
small number of outliers were found mostly related to sampling differences that
could not be completely eradicated <xref ref-type="bibr" rid="bib1.bibx14" id="paren.47"><named-content content-type="pre">see Figs. 10 and 11 in</named-content></xref>.</p>
</sec>
<sec id="Ch1.S2.SS5">
  <title>WOUDC data</title>
      <p id="d1e776">The WOUDC ground-based zonal mean dataset <xref ref-type="bibr" rid="bib1.bibx25" id="paren.48"/> was formed from
ground-based measurement by Dobson, Brewer, and SAOZ instruments, and filter
ozonometers available from the WOUDC. Over the polar night areas, Dobson and
Brewer moon measurements as well as integrated ozonesonde profiles were used.
The data were screened for erroneous and unreliable measurements. The overall
performance of the ground-based network was discussed by <xref ref-type="bibr" rid="bib1.bibx26" id="text.49"/>.</p>
      <?pagebreak page2101?><p id="d1e785">At the next step, ground-based measurements were compared with ozone
“climatology” (monthly means for each point of the globe) estimated from
Nimbus-7 Total Ozone Mapping Spectrometer (N7 TOMS) satellite data for
1978–1989. Then, for each station and for each month, the deviations from the
climatology were calculated, and the belt's value for a particular month was
estimated as a mean of these deviations. The calculations were done for
5<inline-formula><mml:math id="M22" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> latitudinal belts. In order to take into account various densities of
the network across regions, the deviations of the stations were first averaged
over 5<inline-formula><mml:math id="M23" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> by 30<inline-formula><mml:math id="M24" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> cells, and then the belt mean was calculated by
averaging these first sets of averages over the belts. Until this point, the data
in the different 5<inline-formula><mml:math id="M25" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> belts were based on different stations (i.e., were
considered independent). However, the differences between nearby belts are
small. Therefore, the errors of the belt's average estimations can be reduced by
using some smoothing or approximation. The zonal means were then approximated by
zonal spherical functions (Legendre polynomials of cosines of the latitude) to
smooth out spurious variations. The merged satellite and the WOUDC datasets
were compared again recently and demonstrated good agreement <xref ref-type="bibr" rid="bib1.bibx10" id="paren.50"/>.
Estimates based on relatively sparse ground-based measurements, particularly
in the tropics and Southern Hemisphere, may not always reproduce monthly zonal
fluctuations well. However, seasonal (and longer) averages can be estimated with
a precision comparable with satellite-based datasets (<inline-formula><mml:math id="M26" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1 <inline-formula><mml:math id="M27" display="inline"><mml:mi mathvariant="normal">%</mml:mi></mml:math></inline-formula>).</p>
</sec>
<sec id="Ch1.S2.SS6">
  <title>Data preparation</title>
      <p id="d1e848">The MLR is applied to annual mean data. In this case, no corrections are
needed to account for autoregression that is evident in monthly mean
time series <xref ref-type="bibr" rid="bib1.bibx85 bib1.bibx19 bib1.bibx82 bib1.bibx83" id="paren.51"><named-content content-type="pre">e.g.,</named-content></xref>.
Annual means were calculated from the monthly mean data that were all
provided as zonal means in steps of 5<inline-formula><mml:math id="M28" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> latitude. Annual mean data
were only included for those years where at least 80 <inline-formula><mml:math id="M29" display="inline"><mml:mi mathvariant="normal">%</mml:mi></mml:math></inline-formula> of months in
a given year were available (10 months). The SBUV merged data have data gaps
of up to 3 years following the Pinatubo eruption and 1–2 years following
El Chichón. Broader zonal means (e.g., for 35–60<inline-formula><mml:math id="M30" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N) were then
calculated by area weighting the 5<inline-formula><mml:math id="M31" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> annual mean values contained in
the bands. At least 80 % of the 5<inline-formula><mml:math id="M32" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> zonal bands are required to make
the broadband average.</p>
      <p id="d1e900">All annual mean zonal mean time series were corrected for possible biases
between them by subtracting the 1998–2008 average from each dataset, and
later the mean of decadal 1998–2008 averages from all datasets were added
back to each dataset. That way the original values of all time series are
nearly preserved but the bias is reduced as is the case when using ozone
anomalies. <?xmltex \hack{\newpage}?> The bias-corrected GSG and GTO datasets were both
extended from 1995 back to 1979 using the bias-corrected NOAA data, so that
MLR was always applied to the full time period starting in 1979 for all
datasets. This way one ensures that all terms other than the trend terms are
determined from the full time period. The NOAA data were used here as the
NASA data have larger data gaps.</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <title>Multiple linear regression</title>
      <p id="d1e912">In this section, the MLR equation and the various explanatory variables used
are briefly summarized (Sect. <xref ref-type="sec" rid="Ch1.S3.SS1"/>), followed by a discussion on the
various choices of trend terms, e.g., independent linear trends before and
after the turnaround of the stratospheric halogen (preferred choice in this
study), hockey stick, or EESC curve (Sect. <xref ref-type="sec" rid="Ch1.S3.SS2"/>).</p>
<sec id="Ch1.S3.SS1">
  <title>MLR and explanatory variables</title>
      <p id="d1e924">Total ozone trends
are here derived from annual mean zonal mean ozone data using the MLR equation given by

                <disp-formula specific-use="align" content-type="numbered"><mml:math id="M33" display="block"><mml:mtable displaystyle="true"><mml:mtr><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:mi>y</mml:mi><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo><mml:mo>=</mml:mo></mml:mrow></mml:mtd><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:msub><mml:mi>a</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub><mml:mo>⋅</mml:mo><mml:msub><mml:mi>X</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo><mml:mo>+</mml:mo><mml:msub><mml:mi>b</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub><mml:mo>⋅</mml:mo><mml:msub><mml:mi>X</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo><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>t</mml:mi><mml:mo>)</mml:mo><mml:mo>+</mml:mo><mml:msub><mml:mi>a</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>⋅</mml:mo><mml:msub><mml:mi>X</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mstyle class="stylechange" displaystyle="true"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:mo>+</mml:mo><mml:msub><mml:mi>b</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>⋅</mml:mo><mml:msub><mml:mi>X</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo><mml:mo>(</mml:mo><mml:mi>t</mml:mi><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:mo>+</mml:mo><mml:msub><mml:mi mathvariant="italic">α</mml:mi><mml:mtext>sun</mml:mtext></mml:msub><mml:mo>⋅</mml:mo><mml:mi>S</mml:mi><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo><mml:mo>+</mml:mo><mml:msub><mml:mi mathvariant="italic">α</mml:mi><mml:mtext>qbo50</mml:mtext></mml:msub><mml:mo>⋅</mml:mo><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">50</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mstyle class="stylechange" displaystyle="true"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:mo>+</mml:mo><mml:msub><mml:mi mathvariant="italic">α</mml:mi><mml:mtext>qbo10</mml:mtext></mml:msub><mml:mo>⋅</mml:mo><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">10</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo><mml:mo>+</mml:mo><mml:msub><mml:mi mathvariant="italic">α</mml:mi><mml:mtext>ElChichón</mml:mtext></mml:msub><mml:mo>⋅</mml:mo><mml:msub><mml:mi>A</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:mtd></mml:mtr><mml:mlabeledtr id="Ch1.E1"><mml:mtd/><mml:mtd><mml:mstyle displaystyle="true" class="stylechange"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:mo>+</mml:mo><mml:msub><mml:mi mathvariant="italic">α</mml:mi><mml:mtext>Pinatubo</mml:mtext></mml:msub><mml:mo>⋅</mml:mo><mml:msub><mml:mi>A</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo><mml:mo>+</mml:mo><mml:msub><mml:mi mathvariant="italic">α</mml:mi><mml:mtext>ENSO</mml:mtext></mml:msub><mml:mo>⋅</mml:mo><mml:mi>E</mml:mi><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo><mml:mo>+</mml:mo><mml:mi>P</mml:mi><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo><mml:mo>,</mml:mo></mml:mrow></mml:mtd></mml:mlabeledtr></mml:mtable></mml:math></disp-formula>

            where <inline-formula><mml:math id="M34" display="inline"><mml:mrow><mml:mi>y</mml:mi><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> is the annual mean total ozone time series and <inline-formula><mml:math id="M35" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> the year of
observations. The coefficients <inline-formula><mml:math id="M36" display="inline"><mml:mrow><mml:msub><mml:mi>b</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M37" display="inline"><mml:mrow><mml:msub><mml:mi>b</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> are the linear trends before
and after the turnaround year <inline-formula><mml:math id="M38" 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> when the stratospheric halogen reached
its maximum abundance. In order to make both trends independent of each other
(or disjoint), two <inline-formula><mml:math id="M39" display="inline"><mml:mi>y</mml:mi></mml:math></inline-formula> intercepts (<inline-formula><mml:math id="M40" display="inline"><mml:mrow><mml:msub><mml:mi>a</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M41" display="inline"><mml:mrow><mml:msub><mml:mi>a</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) are determined. The
multiplication of the independent variable <inline-formula><mml:math id="M42" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> with <inline-formula><mml:math id="M43" display="inline"><mml:mrow><mml:msub><mml:mi>X</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> in the first
four terms of Eq. (<xref ref-type="disp-formula" rid="Ch1.E1"/>) describes mathematically that the first two
terms only apply to the period before and the third and fourth terms to the
period after the turnaround year <inline-formula><mml:math id="M44" 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>. <inline-formula><mml:math id="M45" display="inline"><mml:mrow><mml:msub><mml:mi>X</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M46" display="inline"><mml:mrow><mml:msub><mml:mi>X</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> are given by</p>
      <p id="d1e1361"><disp-formula id="Ch1.E2" content-type="numbered"><mml:math id="M47" display="block"><mml:mrow><mml:msub><mml:mi>X</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo><mml:mo>=</mml:mo><mml:mfenced open="{" close=""><mml:mtable rowspacing="0.2ex" class="cases" columnspacing="1em" columnalign="left left" framespacing="0em"><mml:mtr><mml:mtd><mml:mn mathvariant="normal">1</mml:mn></mml:mtd><mml:mtd><mml:mrow><mml:mspace width="1em" linebreak="nobreak"/><mml:mtext>if </mml:mtext><mml:mi>t</mml:mi><mml:mo>≤</mml:mo><mml:msub><mml:mi>t</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mn mathvariant="normal">0</mml:mn></mml:mtd><mml:mtd><mml:mrow><mml:mspace width="1em" linebreak="nobreak"/><mml:mtext>if </mml:mtext><mml:mi>t</mml:mi><mml:mo>&gt;</mml:mo><mml:msub><mml:mi>t</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:mfenced></mml:mrow></mml:math></disp-formula>
          and
            <disp-formula id="Ch1.E3" content-type="numbered"><mml:math id="M48" display="block"><mml:mrow><mml:msub><mml:mi>X</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo><mml:mo>=</mml:mo><mml:mfenced open="{" close=""><mml:mtable columnspacing="1em" class="cases" rowspacing="0.2ex" columnalign="left left" framespacing="0em"><mml:mtr><mml:mtd><mml:mn mathvariant="normal">0</mml:mn></mml:mtd><mml:mtd><mml:mrow><mml:mspace width="1em" linebreak="nobreak"/><mml:mtext>if </mml:mtext><mml:mi>t</mml:mi><mml:mo>≤</mml:mo><mml:msub><mml:mi>t</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mn mathvariant="normal">1</mml:mn></mml:mtd><mml:mtd><mml:mrow><mml:mspace linebreak="nobreak" width="1em"/><mml:mtext>if </mml:mtext><mml:mi>t</mml:mi><mml:mo>&gt;</mml:mo><mml:msub><mml:mi>t</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:mfenced><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          respectively. From the calculation of the EESC, this maximum was reached at about the year <inline-formula><mml:math id="M49" 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:mn mathvariant="normal">1996</mml:mn></mml:mrow></mml:math></inline-formula>
<xref ref-type="bibr" rid="bib1.bibx56" id="paren.52"/> and some years later (<inline-formula><mml:math id="M50" 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:mn mathvariant="normal">2000</mml:mn></mml:mrow></mml:math></inline-formula>) in the polar regions
<xref ref-type="bibr" rid="bib1.bibx55 bib1.bibx56" id="paren.53"/>.</p>
      <p id="d1e1515">Other main factors contributing to ozone variability and included in the MLR
are the quasi-biennial oscillation (QBO), 11-year solar cycle, El
Niño–Southern Oscillation (ENSO), and volcanic aerosol. The use of QBO terms
(50 and 10 <inline-formula><mml:math id="M51" display="inline"><mml:mi mathvariant="normal">hPa</mml:mi></mml:math></inline-formula>) allows a phase shift in the quasi-cyclic variation of
total ozone with respect to QBO variations. The contributions from the
11-year solar cycle and QBO are in common use in total ozone MLR
<xref ref-type="bibr" rid="bib1.bibx75 bib1.bibx61" id="paren.54"><named-content content-type="pre">e.g.,</named-content></xref>.</p>
      <?pagebreak page2102?><p id="d1e1530">Aerosol terms related to the major volcanic eruptions like El Chichón
(1982) and Mt. Pinatubo (1991) are important, in particular, to describe the
large ozone decrease observed in the early 1990s. The volcanic aerosol effect
from the El Chichón eruption (1982) is independently treated in the MLR from
the effect of the Mt. Pinatubo eruption (1991). The dynamical responses to
the major volcanic events were quite different. While Mt. Pinatubo led to
enhanced ozone depletion, the Southern Hemisphere (SH) extratropical total
ozone rather increased as a result of a particular dynamics condition
following the El Chichón event
<xref ref-type="bibr" rid="bib1.bibx65 bib1.bibx3 bib1.bibx20" id="paren.55"/>. For El Chichón, the
stratospheric aerosol optical depth (SAOD) at 550 <inline-formula><mml:math id="M52" display="inline"><mml:mi mathvariant="normal">nm</mml:mi></mml:math></inline-formula> from
<xref ref-type="bibr" rid="bib1.bibx64" id="text.56"/> is used as the explanatory variable, while newer data from
the WACCM model <xref ref-type="bibr" rid="bib1.bibx52" id="paren.57"/> are used for the period after 1990 that is
dominated by the Mt. Pinatubo major volcanic eruption and also covers the
series of more minor volcanic eruptions from the last decade. Though smaller,
these eruptions injected sufficient amounts of aerosols into the stratosphere
to affect Antarctic ozone <xref ref-type="bibr" rid="bib1.bibx72 bib1.bibx37" id="paren.58"/>. The SAOD from
<xref ref-type="bibr" rid="bib1.bibx64" id="text.59"/> is derived from satellite observations and includes column amounts
that extend down to about 15 km. The same data from the WACCM model
represent the column amount down to the tropopause and may differ
significantly from the former. The WACCM data are only available for the
period after 1990 <xref ref-type="bibr" rid="bib1.bibx52" id="paren.60"/> and are used for the “Pinatubo” term,
while for the period before 1990 the <xref ref-type="bibr" rid="bib1.bibx64" id="text.61"/> SAOD is used.</p>
      <p id="d1e1563">In the SBUV data records, there are for some years not a sufficient number of
months and/or 5<inline-formula><mml:math id="M53" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> latitude bands available, and no annual means are
calculated. If annual means for the years 1982 and 1983 are missing, the “El
Chichón” term is not used in the MLR; similarly,  if all years are missing  from
1991 to 1994, the “Pinatubo” term is excluded in the MLR.</p>
      <p id="d1e1575">The MLR equation without the <inline-formula><mml:math id="M54" display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> term, Eq. (<xref ref-type="disp-formula" rid="Ch1.E1"/>), is considered
the standard MLR that is commonly applied for determining trends from ozone
profile data <xref ref-type="bibr" rid="bib1.bibx6 bib1.bibx7 bib1.bibx35 bib1.bibx80 bib1.bibx68 bib1.bibx77" id="paren.62"><named-content content-type="pre">e.g.,</named-content></xref>. The extra term <inline-formula><mml:math id="M55" display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> in Eq. (<xref ref-type="disp-formula" rid="Ch1.E1"/>)
accounts for other factors of dynamical variability that have been used in
different combinations and definitions (e.g., accumulated, time-lagged) in the
past. It includes contributions from the Arctic Oscillation (AO) and the
Brewer–Dobson circulation (BDC)
<xref ref-type="bibr" rid="bib1.bibx61 bib1.bibx46 bib1.bibx9" id="paren.63"><named-content content-type="pre">e.g.,</named-content></xref>. The BDC terms are usually
described by the eddy heat flux at 100 hPa that is considered a main driver
of the BDC <xref ref-type="bibr" rid="bib1.bibx31 bib1.bibx60 bib1.bibx89" id="paren.64"/>. The additional term <inline-formula><mml:math id="M56" display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>
can be described as follows:

                <disp-formula specific-use="align" content-type="numbered"><mml:math id="M57" display="block"><mml:mtable displaystyle="true"><mml:mtr><mml:mtd><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:mi>P</mml:mi><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo><mml:mo>=</mml:mo></mml:mrow></mml:mtd><mml:mtd><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:mspace linebreak="nobreak" width="0.25em"/><mml:msub><mml:mi mathvariant="italic">α</mml:mi><mml:mtext>AO </mml:mtext></mml:msub><mml:mo>⋅</mml:mo><mml:mi mathvariant="normal">AO</mml:mi><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo><mml:mo>+</mml:mo><mml:msub><mml:mi mathvariant="italic">α</mml:mi><mml:mtext>BDCn</mml:mtext></mml:msub><mml:mo>⋅</mml:mo><mml:mi mathvariant="normal">BDCn</mml:mi><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:mtd></mml:mtr><mml:mlabeledtr id="Ch1.E4"><mml:mtd/><mml:mtd><mml:mstyle class="stylechange" displaystyle="true"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:mo>+</mml:mo><mml:msub><mml:mi mathvariant="italic">α</mml:mi><mml:mtext>BDCs</mml:mtext></mml:msub><mml:mo>⋅</mml:mo><mml:mi mathvariant="normal">BDCs</mml:mi><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo><mml:mo>.</mml:mo></mml:mrow></mml:mtd></mml:mlabeledtr></mml:mtable></mml:math></disp-formula></p>
      <p id="d1e1720">There are different terms for BDC in each hemisphere indicated by indices s
(SH) and n (NH). The eddy heat flux is derived from daily ECMWF ERA-Interim
(ERA-I) reanalysis data <xref ref-type="bibr" rid="bib1.bibx15" id="paren.65"/>. For each day, the area-weighted mean
of the 100 <inline-formula><mml:math id="M58" display="inline"><mml:mi mathvariant="normal">hPa</mml:mi></mml:math></inline-formula> eddy heat flux between the 45 and 75<inline-formula><mml:math id="M59" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>
latitudes separately for each hemisphere is calculated and the monthly mean
time series derived <xref ref-type="bibr" rid="bib1.bibx89" id="paren.66"/>. In the MLR applied to annual mean data, the winter averaged eddy
heat flux is used as an independent variable. The winter averages, BDCn<inline-formula><mml:math id="M60" display="inline"><mml:mrow><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>
and BDCs<inline-formula><mml:math id="M61" display="inline"><mml:mrow><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, are derived by taking the mean from September to April of the
previous year in the NH and from March to October in the SH, respectively, if
not stated otherwise. For all other terms, annual mean proxy time series are
used in the MLR.</p>
      <p id="d1e1770">Not all terms of <inline-formula><mml:math id="M62" display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> are used in the regression since they are not
entirely uncorrelated <xref ref-type="bibr" rid="bib1.bibx47 bib1.bibx89 bib1.bibx9" id="paren.67"><named-content content-type="pre">see, for
instance,</named-content></xref>. Individual terms in
Eq. (<xref ref-type="disp-formula" rid="Ch1.E4"/>) are only retained in the regression if the absolute value
of the coefficient exceeds its 2<inline-formula><mml:math id="M63" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula> uncertainty and remains robust for
any combination of terms from Eq. (<xref ref-type="disp-formula" rid="Ch1.E4"/>). For example, even though the
Antarctic Oscillation (AAO), the counterpart of the AO in the NH, provides an
important ozone feedback mechanism and is strongly related to the Antarctic
ozone hole <xref ref-type="bibr" rid="bib1.bibx79" id="paren.68"><named-content content-type="pre">e.g.,</named-content></xref>, in this analysis, this term is not
robust as its significance strongly depends on whether the BDC's term is added
or not.</p>
      <p id="d1e1809">Without the use of some additional terms contained in Eq. (<xref ref-type="disp-formula" rid="Ch1.E4"/>), the
MLR is not able to model the large excursions in some years, e.g., 2002 in the
SH or 2011 in the NH extratropics. The various explanatory variables and the
sources of proxy time series are summarized in Table <xref ref-type="table" rid="Ch1.T2"/>.</p>

<?xmltex \floatpos{t}?><?pagebreak page2103?><table-wrap id="Ch1.T2" specific-use="star"><caption><p id="d1e1820">Sources of explanatory variables/proxy time series
used in the MLR.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="3">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="justify" colwidth="142.26378pt"/>
     <oasis:colspec colnum="3" colname="col3" align="justify" colwidth="227.622047pt"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Variable</oasis:entry>  
         <oasis:entry colname="col2">Proxy</oasis:entry>  
         <oasis:entry colname="col3">Source</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M64" display="inline"><mml:mrow><mml:mi>S</mml:mi><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">Bremen composite Mg II index <?xmltex \hack{\hfill\break}?> <xref ref-type="bibr" rid="bib1.bibx67" id="paren.69"/></oasis:entry>  
         <oasis:entry colname="col3"><uri>http://www.iup.uni-bremen.de/UVSAT/Datasets/mgii</uri></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">QBO<inline-formula><mml:math id="M65" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">50</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, QBO<inline-formula><mml:math id="M66" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">10</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">Singapore wind speed at 50 and 10 <inline-formula><mml:math id="M67" display="inline"><mml:mi mathvariant="normal">hPa</mml:mi></mml:math></inline-formula>
<?xmltex \hack{\hfill\break}?> <xref ref-type="bibr" rid="bib1.bibx54" id="paren.70"><named-content content-type="pre">update from</named-content></xref></oasis:entry>  
         <oasis:entry colname="col3"><uri>http://www.geo.fu-berlin.de/met /ag/strat/produkte/qbo/qbo.dat</uri></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M68" display="inline"><mml:mrow><mml:mi>E</mml:mi><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">MEI (ENSO) index <?xmltex \hack{\hfill\break}?> <xref ref-type="bibr" rid="bib1.bibx92" id="paren.71"/></oasis:entry>  
         <oasis:entry colname="col3"><uri>https://www.esrl.noaa.gov/psd/enso/mei/</uri></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">AO<inline-formula><mml:math id="M69" display="inline"><mml:mrow><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, AAO<inline-formula><mml:math id="M70" display="inline"><mml:mrow><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">Antarctic Oscillation (AAO), Arctic Oscillation (AO)</oasis:entry>  
         <oasis:entry colname="col3"><uri>http://www.cpc.ncep.noaa.gov/products/precip/CWlink/daily_ao_index/teleconnections.shtml</uri></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M71" display="inline"><mml:mrow><mml:msub><mml:mi>A</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">Stratospheric aerosol depth at 550 <inline-formula><mml:math id="M72" display="inline"><mml:mi mathvariant="normal">nm</mml:mi></mml:math></inline-formula> (<inline-formula><mml:math id="M73" display="inline"><mml:mrow><mml:mi>t</mml:mi><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">1990</mml:mn></mml:mrow></mml:math></inline-formula>)<?xmltex \hack{\hfill\break}?> <xref ref-type="bibr" rid="bib1.bibx64" id="paren.72"><named-content content-type="pre">update from</named-content></xref></oasis:entry>  
         <oasis:entry colname="col3"><uri>https://data.giss.nasa.gov/modelforce/strataer/tau.line_2012.12.txt</uri></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M74" display="inline"><mml:mrow><mml:msub><mml:mi>A</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">Stratospheric aerosol depth at 550 <inline-formula><mml:math id="M75" display="inline"><mml:mi mathvariant="normal">nm</mml:mi></mml:math></inline-formula> from the WACCM model (<inline-formula><mml:math id="M76" display="inline"><mml:mrow><mml:mi>t</mml:mi><mml:mo>≥</mml:mo><mml:mn mathvariant="normal">1990</mml:mn><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> <?xmltex \hack{\hfill\break}?> <xref ref-type="bibr" rid="bib1.bibx52" id="paren.73"/></oasis:entry>  
         <oasis:entry colname="col3"><uri>http://dx.doi.org/10.5065/D6S180JM</uri></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

</sec>
<sec id="Ch1.S3.SS2">
  <title>Choice of trend terms</title>
      <p id="d1e2116">In Eq. (<xref ref-type="disp-formula" rid="Ch1.E1"/>), the two linear trends before and after the ODS turnaround time <inline-formula><mml:math id="M77" 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> are not continuous and are
independent from each other <xref ref-type="bibr" rid="bib1.bibx59" id="paren.74"/>; thus, we call this approach
an ILT. All other terms apply to the complete time
period. The earliest studies of ozone recovery looked at the statistical
significance of the trend after <inline-formula><mml:math id="M78" 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> relative to the trend before <inline-formula><mml:math id="M79" 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>. The
initial trend and trend change term are frequently called hockey stick or
PLTs <xref ref-type="bibr" rid="bib1.bibx34" id="paren.75"/> and are mathematically
equivalent to Eq. (<xref ref-type="disp-formula" rid="Ch1.E1"/>) without the second <inline-formula><mml:math id="M80" display="inline"><mml:mi>y</mml:mi></mml:math></inline-formula> intercept or <inline-formula><mml:math id="M81" display="inline"><mml:mrow><mml:msub><mml:mi>a</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0</mml:mn></mml:mrow></mml:math></inline-formula>.
Several studies showed that the total ozone trend change in the extratropics
is statistically significant <xref ref-type="bibr" rid="bib1.bibx61 bib1.bibx34 bib1.bibx76 bib1.bibx47 bib1.bibx53 bib1.bibx9 bib1.bibx95" id="paren.76"><named-content content-type="pre">e.g.,</named-content></xref> and this fact is considered proof that the Montreal
Protocol and amendments phasing out ODSs have been working <xref ref-type="bibr" rid="bib1.bibx59" id="paren.77"/>.</p>
      <p id="d1e2193">The third possible choice is the use of the EESC curve replacing the linear
regression terms <xref ref-type="bibr" rid="bib1.bibx34 bib1.bibx47 bib1.bibx30 bib1.bibx53 bib1.bibx9 bib1.bibx95" id="paren.78"/>. In the last WMO ozone assessment <xref ref-type="bibr" rid="bib1.bibx59" id="paren.79"/>, the
evolution of total ozone was reported to be largely consistent with the range
given by the ensemble of climate models accounting for ODS changes. The drawback
is that the long-term trend (from the fitted EESC curve) after the ODS
turnaround <inline-formula><mml:math id="M82" 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 fixed relative to the trend before. The EESC or
stratospheric halogen curve indicates that the expected recovery rate in the
extratropics is about one-third of the absolute declining rate before <inline-formula><mml:math id="M83" 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>
<xref ref-type="bibr" rid="bib1.bibx19" id="paren.80"/>. Since the post-ODS peak trend is smaller, the EESC fit will
be mainly determined by the fit in the declining phase before <inline-formula><mml:math id="M84" 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 thus
provides little information on trends after the ODS peak (for illustration, see
Fig. <xref ref-type="fig" rid="Ch1.F1"/> and <xref ref-type="bibr" rid="bib1.bibx42" id="altparen.81"/>).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1"><caption><p id="d1e2246">Illustration of different choices of trend terms commonly used in MLR applied
to total ozone. Blue: EESC;
red: PLTs before and after <inline-formula><mml:math id="M85" 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:mn mathvariant="normal">1996</mml:mn></mml:mrow></mml:math></inline-formula>, also called
hockey stick; green: ILTs. The black curve shows the
NH total ozone time series from NOAA SBUV v8.6. The red dotted line indicates
that the PLT is mathematically equivalent to using a trend change term in the
MLR. The injection point is the point where the trend change terms starts
(here, in the year 1996). All fits were done using only the linear regression terms
in Eq. (<xref ref-type="disp-formula" rid="Ch1.E1"/>) or, alternatively, the EESC curve replacing linear
regression terms; see discussion in main text.</p></caption>
          <?xmltex \igopts{width=227.622047pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/2097/2018/acp-18-2097-2018-f01.png"/>

        </fig>

      <p id="d1e2272">The exact shape of the EESC curve as a function of altitude and latitude is
highly uncertain. In most regressions, only one representative EESC curve for
the extratropics and polar regions, respectively, is fitted as calculated
from tropospheric emissions assuming a certain age-of-air distribution
<xref ref-type="bibr" rid="bib1.bibx56" id="paren.82"/>. Since the EESC as well as the linear trend terms (ILTs,
PLTs) are the only “low”-frequency terms in the MLR (while others, such as aerosols, are more
or less cyclic or spiky), any low-frequency contributions to ozone
changes other than ODSs will be also fitted by these terms. In the upper
stratosphere, the impact of stratospheric cooling due to climate change and
lower ODSs contributes roughly equally to recent ozone increases
<xref ref-type="bibr" rid="bib1.bibx59" id="paren.83"/>. Thus, there is no reason to assume that the net ozone
trends, pre- and post-ODS peak, from all low-frequency forcings will follow
the EESC, which represents only chemical forcing from ODS change. ILT and, to
some extent, PLT better represent the ozone change from all low-frequency
forcings, but disentangling these signals is difficult.</p>
      <p id="d1e2282">Regardless of the use of trend terms (ILTs, PLTs, or EESC) the question arises
as to when we will see the emergence of ozone recovery; i.e., ozone trends
become positive and statistically significant beyond the year-to-year
variability. In this study, we prefer the use of ILTs over the hockey stick (PLTs) for the following reasons. The injection
point of the PLT (see Fig. <xref ref-type="fig" rid="Ch1.F1"/>) in 1996 is quite close to the ozone
minimum related to the Mt. Pinatubo major volcanic eruption in 1991/1992. This
injection point may be lower if the aerosol effect is not properly modeled
by the MLR, which will likely enhance the trend after the injection point. A
second important point is that the SBUV datasets have larger gaps as a result
of applying a stricter filtering in the data following the major eruptions
from El Chichón and Pinatubo. Volcanically enhanced aerosols interfere
with the ozone retrieval and lead to higher uncertainties <xref ref-type="bibr" rid="bib1.bibx28" id="paren.84"/>.
As a consequence, the determination of the injection point of a PLT has larger
uncertainties and it may affect both trends before and after <inline-formula><mml:math id="M86" 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>.</p>
</sec>
</sec>
<sec id="Ch1.S4">
  <title>Trends in broad zonal bands</title>

      <?xmltex \floatpos{t}?><?pagebreak page2104?><fig id="Ch1.F2"><caption><p id="d1e2310">NH annual mean total ozone time series of five bias-corrected merged
datasets in the 35–60<inline-formula><mml:math id="M87" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N latitude band (NH extratropics). The thick
orange line is the result from applying MLR (Eq. <xref ref-type="disp-formula" rid="Ch1.E1"/>) to the NOAA
time series. In addition to the standard MLR, AO and BDC-N terms are included
(see Eq. <xref ref-type="disp-formula" rid="Ch1.E4"/>). <inline-formula><mml:math id="M88" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula> is the number of data (years) used in the MLR and
<inline-formula><mml:math id="M89" display="inline"><mml:mi>m</mml:mi></mml:math></inline-formula> the number of parameters fitted. The square of the correlation between
observations and MLR is given by <inline-formula><mml:math id="M90" display="inline"><mml:mrow><mml:msup><mml:mi>r</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>. <inline-formula><mml:math id="M91" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">χ</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> is the sum square of the
time series minus MLR divided by the degrees of freedom (<inline-formula><mml:math id="M92" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>-</mml:mo><mml:mi>m</mml:mi></mml:mrow></mml:math></inline-formula>). The solid
lines indicate the linear trends before and after the ODS peak, respectively.
The dotted lines show the 2<inline-formula><mml:math id="M93" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula> uncertainty of the MLR trend estimates.
Trend numbers are indicated for the pre- and post-ODS peak periods in the top
part of the plot. Numbers in parentheses are the 2<inline-formula><mml:math id="M94" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula> trend uncertainty.
</p></caption>
        <?xmltex \igopts{width=227.622047pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/2097/2018/acp-18-2097-2018-f02.png"/>

      </fig>

      <?xmltex \floatpos{th}?><fig id="Ch1.F3"><caption><p id="d1e2397">Same as Fig. <xref ref-type="fig" rid="Ch1.F2"/> but for the 35–60<inline-formula><mml:math id="M95" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S zonal band (SH
extratropics) and MLR applied to WOUDC ground-based data. Standard MLR plus
BDC-S term was applied to the WOUDC data.</p></caption>
        <?xmltex \igopts{width=227.622047pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/2097/2018/acp-18-2097-2018-f03.png"/>

      </fig>

      <p id="d1e2417">In Figs. <xref ref-type="fig" rid="Ch1.F2"/> and <xref ref-type="fig" rid="Ch1.F3"/>, the five bias-corrected merged
time series are shown for the extratropical 35–60<inline-formula><mml:math id="M96" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> zonal bands in the
Northern Hemisphere and Southern Hemisphere, respectively. In the NH, the results from the
MLR are only shown for the NOAA dataset and are indicated by the orange line.
In the SH, the MLR results from the WOUDC data are indicated. In general, the
agreement between the datasets are better than those with the MLR results, but also
the MLR works reasonably well, explaining about 85 <inline-formula><mml:math id="M97" display="inline"><mml:mi mathvariant="normal">%</mml:mi></mml:math></inline-formula> of the variance
in the time series. There is overall a high consistency between all datasets
in the extratropics. The standard MLR plus AO and NH BDC terms were used in
the NH, while in the SH only the SH BDC term was added.</p>
      <p id="d1e2441">Before 1997, total ozone trends in the extratropical belts between 35 and
60<inline-formula><mml:math id="M98" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> in each hemisphere were about
<inline-formula><mml:math id="M99" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.5</mml:mn><mml:mo>(</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:mi mathvariant="italic">σ</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M100" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">decade</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>. The trends changed to about zero
to <inline-formula><mml:math id="M101" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.5 <inline-formula><mml:math id="M102" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">decade</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> after the ODS peak in the extratropics. The
recent trends are mostly statistically not significantly different from a
zero trend, meaning total ozone levels remained stable in the extratropics
over the last 20 years (1996–2016). Nevertheless, the trend change is
significant and it confirms the conclusions from the last WMO ozone
assessment that the ODS-related decline was successfully stopped
<xref ref-type="bibr" rid="bib1.bibx59" id="paren.85"/>.</p>

<?xmltex \floatpos{t}?><?pagebreak page2105?><table-wrap id="Ch1.T3" specific-use="star"><caption><p id="d1e2523">The 1979–1996 and 1997–2016 annual mean total ozone trends in broad
zonal bands. Uncertainties are provided for 2<inline-formula><mml:math id="M103" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula> and trends in bold
indicate statistical significance. <inline-formula><mml:math id="M104" display="inline"><mml:mrow><mml:msup><mml:mi>r</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> is the squared Pearson correlation
and <inline-formula><mml:math id="M105" display="inline"><mml:mi mathvariant="italic">χ</mml:mi></mml:math></inline-formula> the residual defined as
<inline-formula><mml:math id="M106" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">χ</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>=</mml:mo><mml:msub><mml:mo>∑</mml:mo><mml:mi>i</mml:mi></mml:msub><mml:mo>(</mml:mo><mml:msub><mml:mtext>obs</mml:mtext><mml:mi>i</mml:mi></mml:msub><mml:mo>-</mml:mo><mml:msub><mml:mtext>mod</mml:mtext><mml:mi>i</mml:mi></mml:msub><mml:msup><mml:mo>)</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>/</mml:mo><mml:mo>(</mml:mo><mml:mi>n</mml:mi><mml:mo>-</mml:mo><mml:mi>m</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, where obs<inline-formula><mml:math id="M107" display="inline"><mml:msub><mml:mi/><mml:mi>i</mml:mi></mml:msub></mml:math></inline-formula> are the
observations and mod<inline-formula><mml:math id="M108" display="inline"><mml:msub><mml:mi/><mml:mi>i</mml:mi></mml:msub></mml:math></inline-formula> the MLR model, <inline-formula><mml:math id="M109" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula> the number of data (years) in
the time series, and <inline-formula><mml:math id="M110" display="inline"><mml:mi>m</mml:mi></mml:math></inline-formula> the number of parameters fitted. In the NH, standard
MLR plus AO and BDC-N terms were used; in the SH and tropics, standard MLR
plus the SH BDC term were used. DU indicates Dobson units.</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.95}[.95]?><oasis:tgroup cols="8">
     <oasis:colspec colnum="1" colname="col1" align="justify" colwidth="62.596063pt"/>
     <oasis:colspec colnum="2" colname="col2" align="justify" colwidth="96.73937pt"/>
     <oasis:colspec colnum="3" colname="col3" align="justify" colwidth="99.584646pt"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Zonal bands</oasis:entry>  
         <oasis:entry colname="col2">MLR</oasis:entry>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4">NASA</oasis:entry>  
         <oasis:entry colname="col5">NOAA</oasis:entry>  
         <oasis:entry colname="col6">GSG</oasis:entry>  
         <oasis:entry colname="col7">GTO</oasis:entry>  
         <oasis:entry colname="col8">WOUDC</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">35–60<inline-formula><mml:math id="M112" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col2">standard <inline-formula><mml:math id="M113" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> AO <inline-formula><mml:math id="M114" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> BDC-N</oasis:entry>  
         <oasis:entry colname="col3">trend <inline-formula><mml:math id="M115" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 1996 (% decade<inline-formula><mml:math id="M116" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M117" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.2 (8)</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M118" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.4 (8)</oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math id="M119" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.2 (8)</oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M120" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.1 (8)</oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math id="M121" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.2 (8)</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Annual</oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3">trend <inline-formula><mml:math id="M122" display="inline"><mml:mo>≤</mml:mo></mml:math></inline-formula> 1996 (% decade<inline-formula><mml:math id="M123" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col4"><bold>–2.8 (15)</bold></oasis:entry>  
         <oasis:entry colname="col5"><bold>–3.1 (14)</bold></oasis:entry>  
         <oasis:entry colname="col6">–</oasis:entry>  
         <oasis:entry colname="col7">–</oasis:entry>  
         <oasis:entry colname="col8"><bold>–2.8 (15)</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M124" display="inline"><mml:mrow><mml:msup><mml:mi>r</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">0.83</oasis:entry>  
         <oasis:entry colname="col5">0.85</oasis:entry>  
         <oasis:entry colname="col6">0.84</oasis:entry>  
         <oasis:entry colname="col7">0.85</oasis:entry>  
         <oasis:entry colname="col8">0.83</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M125" display="inline"><mml:mi mathvariant="italic">χ</mml:mi></mml:math></inline-formula> (DU)</oasis:entry>  
         <oasis:entry colname="col4">3.5</oasis:entry>  
         <oasis:entry colname="col5">3.3</oasis:entry>  
         <oasis:entry colname="col6">3.3</oasis:entry>  
         <oasis:entry colname="col7">3.2</oasis:entry>  
         <oasis:entry colname="col8">3.6</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">20<inline-formula><mml:math id="M126" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S–20<inline-formula><mml:math id="M127" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col2">standard <inline-formula><mml:math id="M128" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> BDC-S</oasis:entry>  
         <oasis:entry colname="col3">trend <inline-formula><mml:math id="M129" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 1996 (% decade<inline-formula><mml:math id="M130" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M131" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.1 (3)</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M132" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.2 (3)</oasis:entry>  
         <oasis:entry colname="col6"><bold>+0.8 (4)</bold></oasis:entry>  
         <oasis:entry colname="col7">0.0 (4)</oasis:entry>  
         <oasis:entry colname="col8"><bold>+0.5 (5)</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Annual</oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3">trend <inline-formula><mml:math id="M133" display="inline"><mml:mo>≤</mml:mo></mml:math></inline-formula> 1996 (% decade<inline-formula><mml:math id="M134" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M135" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.3 (6)</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M136" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.5 (6)</oasis:entry>  
         <oasis:entry colname="col6">–</oasis:entry>  
         <oasis:entry colname="col7">–</oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math id="M137" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.2 (8)</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M138" display="inline"><mml:mrow><mml:msup><mml:mi>r</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">0.87</oasis:entry>  
         <oasis:entry colname="col5">0.87</oasis:entry>  
         <oasis:entry colname="col6">0.85</oasis:entry>  
         <oasis:entry colname="col7">0.83</oasis:entry>  
         <oasis:entry colname="col8">0.77</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M139" display="inline"><mml:mi mathvariant="italic">χ</mml:mi></mml:math></inline-formula> (DU)</oasis:entry>  
         <oasis:entry colname="col4">1.1</oasis:entry>  
         <oasis:entry colname="col5">1.2</oasis:entry>  
         <oasis:entry colname="col6">1.3</oasis:entry>  
         <oasis:entry colname="col7">1.3</oasis:entry>  
         <oasis:entry colname="col8">1.7</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">35–60<inline-formula><mml:math id="M140" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S</oasis:entry>  
         <oasis:entry colname="col2">standard + BDC-S</oasis:entry>  
         <oasis:entry colname="col3">trend <inline-formula><mml:math id="M141" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 1996 (% decade<inline-formula><mml:math id="M142" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col4">+0.3 (7)</oasis:entry>  
         <oasis:entry colname="col5">+0.6 (8)</oasis:entry>  
         <oasis:entry colname="col6"><bold>+0.7 (7)</bold></oasis:entry>  
         <oasis:entry colname="col7"><bold>+0.6 (6)</bold></oasis:entry>  
         <oasis:entry colname="col8"><bold>+0.7 (7)</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Annual</oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3">trend <inline-formula><mml:math id="M143" display="inline"><mml:mo>≤</mml:mo></mml:math></inline-formula> 1996 (% decade<inline-formula><mml:math id="M144" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col4"><bold>–3.6 (14)</bold></oasis:entry>  
         <oasis:entry colname="col5"><bold>–3.4 (14)</bold></oasis:entry>  
         <oasis:entry colname="col6">–</oasis:entry>  
         <oasis:entry colname="col7">–</oasis:entry>  
         <oasis:entry colname="col8"><bold>–3.4 (13)</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M145" display="inline"><mml:mrow><mml:msup><mml:mi>r</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">0.89</oasis:entry>  
         <oasis:entry colname="col5">0.89</oasis:entry>  
         <oasis:entry colname="col6">0.90</oasis:entry>  
         <oasis:entry colname="col7">0.91</oasis:entry>  
         <oasis:entry colname="col8">0.87</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M146" display="inline"><mml:mi mathvariant="italic">χ</mml:mi></mml:math></inline-formula> (DU)</oasis:entry>  
         <oasis:entry colname="col4">3.0</oasis:entry>  
         <oasis:entry colname="col5">3.1</oasis:entry>  
         <oasis:entry colname="col6">2.7</oasis:entry>  
         <oasis:entry colname="col7">2.6</oasis:entry>  
         <oasis:entry colname="col8">3.0</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table><?xmltex \begin{scaleboxenv}{.95}[.95]?><table-wrap-foot><p id="d1e2634">Bold numbers indicate statistical significance at 2<inline-formula><mml:math id="M111" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula>.</p></table-wrap-foot><?xmltex \end{scaleboxenv}?></table-wrap>

      <p id="d1e3309">Table <xref ref-type="table" rid="Ch1.T3"/> summarizes the post-ODS peak trends for the
five datasets considered here. In the NH extratropics, most data show a
near-zero trend. In the SH extratropics, trends are positive and slightly larger
than in the NH. The GSG, GTO, and WOUDC datasets indicate a positive trend of
0.7 <inline-formula><mml:math id="M147" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">decade</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> here, barely reaching the 2<inline-formula><mml:math id="M148" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula> uncertainty
level. Except for the NASA dataset, all datasets show a positive trend of
<inline-formula><mml:math id="M149" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.5 <inline-formula><mml:math id="M150" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">decade</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> or more in the SH.</p>

      <?xmltex \floatpos{th}?><fig id="Ch1.F4"><caption><p id="d1e3364">The dependence of the post-ODS peak trends in the NH extratropics
from the end year in the MLR. The vertical bars show the 2<inline-formula><mml:math id="M151" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula>
uncertainties of the trends. Red symbols are the results from the standard
MLR fit (Eq. <xref ref-type="disp-formula" rid="Ch1.E1"/> with <inline-formula><mml:math id="M152" display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0</mml:mn></mml:mrow></mml:math></inline-formula>) and blue from the extended MLR that
includes the AO and NH BDC terms (see Eq. <xref ref-type="disp-formula" rid="Ch1.E4"/>).</p></caption>
        <?xmltex \igopts{width=227.622047pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/2097/2018/acp-18-2097-2018-f04.png"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5"><caption><p id="d1e3405">Same as Fig. <xref ref-type="fig" rid="Ch1.F4"/> but for SH extratropics
(35<inline-formula><mml:math id="M153" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S–60<inline-formula><mml:math id="M154" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S).</p></caption>
        <?xmltex \igopts{width=227.622047pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/2097/2018/acp-18-2097-2018-f05.png"/>

      </fig>

      <p id="d1e3434">Figures <xref ref-type="fig" rid="Ch1.F4"/> and <xref ref-type="fig" rid="Ch1.F5"/> (NH and SH, respectively) show how the
post-ODS peak trend changed during the last decade by adding more years of
observations since 2006. Up until 2010, the linear trends in the NH were at about
<inline-formula><mml:math id="M155" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M156" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">decade</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> with an uncertainty just less than 2 <inline-formula><mml:math id="M157" display="inline"><mml:mi mathvariant="normal">%</mml:mi></mml:math></inline-formula>
(<inline-formula><mml:math id="M158" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mi mathvariant="italic">σ</mml:mi></mml:mrow></mml:math></inline-formula>). With additional years after 2010, trends lowered to about
<inline-formula><mml:math id="M159" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">0.5</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M160" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">decade</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>. The uncertainty is now reduced to slightly
below 1 <inline-formula><mml:math id="M161" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">decade</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>. This means that a trend of
1 <inline-formula><mml:math id="M162" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">decade</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> could be observed after 20 years of observations
following the ODS peak. The below-average annual mean NH total ozone in 2016
is linked to the severe Arctic ozone depletion in the same year
<xref ref-type="bibr" rid="bib1.bibx48" id="paren.86"/> and related to the anomalous QBO-induced meridional
circulation changes <xref ref-type="bibr" rid="bib1.bibx57 bib1.bibx81" id="paren.87"/>. This resulted in a drop of
the 1997–2016 NH ozone trend down to <inline-formula><mml:math id="M163" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M164" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">decade</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>
(compared to <inline-formula><mml:math id="M165" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">0.6</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M166" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">decade</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> ending in 2015). The trend
estimates are somewhat dependent on the end value in the time series. In
2010, NH extratropical ozone levels were unusually high (see Fig. <xref ref-type="fig" rid="Ch1.F2"/> and
<xref ref-type="bibr" rid="bib1.bibx76" id="altparen.88"/>). Despite the reasonable fitting, this high anomaly
increased the trend through 2010 to <inline-formula><mml:math id="M167" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>1.8 <inline-formula><mml:math id="M168" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">decade</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> which was
statistically significant at that time (Fig. <xref ref-type="fig" rid="Ch1.F4"/>).</p>
      <p id="d1e3640">The trend results do not vary much with additional terms used in the MLR. The
standard MLR and the extended MLR (adding BDC-N and AO in the NH and BDC-S in
the SH) yield about the same trend results, but the latter provides smaller
uncertainties because the explained variance increases significantly with the
added terms (<inline-formula><mml:math id="M169" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 10 <inline-formula><mml:math id="M170" display="inline"><mml:mi mathvariant="normal">%</mml:mi></mml:math></inline-formula> in the NH). In the SH extratropics
(Fig. <xref ref-type="fig" rid="Ch1.F5"/>), the trends did not vary much during the last few years,
but uncertainties have been reduced to slightly below
1 <inline-formula><mml:math id="M171" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">decade</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>.</p>
      <?pagebreak page2106?><p id="d1e3676">In the tropics, both GSG and WOUDC show significant trends of <inline-formula><mml:math id="M172" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">0.8</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn></mml:mrow></mml:math></inline-formula> and
<inline-formula><mml:math id="M173" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">0.5</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.5</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M174" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">decade</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> after 1996, respectively, while all
other datasets (NASA, NOAA, GTO) show smaller and insignificant trends
(Table <xref ref-type="table" rid="Ch1.T3"/> and Fig. <xref ref-type="fig" rid="Ch1.F6"/>). It appears that for
the former datasets, in particular the GSG dataset, some decadal drifts are
evident. The difference between the maximum and lowest trends is less than
1 <inline-formula><mml:math id="M175" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">decade</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> which is within the 1–3 <inline-formula><mml:math id="M176" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">decade</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>
stability requirement for long-term satellite datasets
<xref ref-type="bibr" rid="bib1.bibx58" id="paren.89"/>.</p>
      <p id="d1e3766">One should keep in mind  that significance of trends in some zonal bands and for
some datasets that are barely significant at <inline-formula><mml:math id="M177" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mi mathvariant="italic">σ</mml:mi></mml:mrow></mml:math></inline-formula> can easily vanish
depending on the choice of proxies or set of fitting parameters
<xref ref-type="bibr" rid="bib1.bibx11" id="paren.90"/>. Given the fact that additional uncertainties from the
merging of the datasets as well as in the calculation of zonal mean data from
sparse ground-based data are not accounted for here, all observed trends are
likely not significant yet.</p>
      <p id="d1e3782">In the last ozone assessment <xref ref-type="bibr" rid="bib1.bibx59" id="paren.91"/>, a near-global average
(60<inline-formula><mml:math id="M178" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S–60<inline-formula><mml:math id="M179" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N) increase of about <inline-formula><mml:math id="M180" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">1</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.7</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M181" display="inline"><mml:mi mathvariant="normal">%</mml:mi></mml:math></inline-formula>
from ground and space measurements from 2000 to 2013 (corresponding roughly
to a 0.8 <inline-formula><mml:math id="M182" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">decade</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> increase) was reported. For the extended
period considered here (1997–2016), the trends appear much smaller (near-zero
trends in the tropics and NH, except for two datasets in the tropics). Only
in the SH the trends are about <inline-formula><mml:math id="M183" 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> <inline-formula><mml:math id="M184" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">decade</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> for most
datasets (see Table <xref ref-type="table" rid="Ch1.T3"/>). In the extratropics, trends
(Figs. <xref ref-type="fig" rid="Ch1.F4"/> and <xref ref-type="fig" rid="Ch1.F5"/>) were reduced by about half by extending
the time series from 2013 to 2016, although this difference is within the
trend uncertainties. It is evident from the time series (Figs. <xref ref-type="fig" rid="Ch1.F2"/> and
<xref ref-type="fig" rid="Ch1.F3"/>) that most of the added years since 2013 show below-average ozone
compared to the decade before.</p>
      <p id="d1e3886">The pre-ODS peak trends derived here are in good agreement with the
integrated profile trends reported in Tables 2–4 of <xref ref-type="bibr" rid="bib1.bibx59" id="text.92"/>. The
trends after 1997 reported here are about half of the trends reported by
<xref ref-type="bibr" rid="bib1.bibx59" id="text.93"/>, as explained above. Nevertheless, within the combined
uncertainties, trends agree. Some of the differences may also be due to the
different time periods considered (e.g., starting in 2000 versus 1997).</p>
      <p id="d1e3895">Our results are also largely consistent with more recent profile trend studies
<xref ref-type="bibr" rid="bib1.bibx7 bib1.bibx68 bib1.bibx77" id="paren.94"/> that basically show mostly
insignificant trends at lower stratosphere altitudes.</p>
</sec>
<sec id="Ch1.S5">
  <title>Latitude-dependent ozone trends</title>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6"><caption><p id="d1e3910">Same as Fig. <xref ref-type="fig" rid="Ch1.F2"/> but for the 20<inline-formula><mml:math id="M185" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S–20<inline-formula><mml:math id="M186" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N
zonal band (tropics) and MLR applied to NASA SBUV MOD v8.6. In the tropics,
the standard MLR plus BDC-S term was used.</p></caption>
        <?xmltex \igopts{width=227.622047pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/2097/2018/acp-18-2097-2018-f06.png"/>

      </fig>

      <?xmltex \floatpos{t}?><?pagebreak page2107?><fig id="Ch1.F7" specific-use="star"><caption><p id="d1e3941">Linear trends and in % decade<inline-formula><mml:math id="M187" 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 2<inline-formula><mml:math id="M188" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula> uncertainty bars
before (red) and after (blue) year 1996. <bold>(a)</bold> NASA SBUV,
<bold>(b)</bold> NOAA SBUV, <bold>(c)</bold> WOUDC, <bold>(d)</bold> GSG, and
<bold>(e)</bold> GTO. Trends were calculated in 5<inline-formula><mml:math id="M189" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> zonal bins from
60<inline-formula><mml:math id="M190" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S to 60<inline-formula><mml:math id="M191" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N using the full regression model. In panels
<bold>(d)</bold> and <bold>(e)</bold>, the trends before the pre-ODS peak are not
shown as the GSG and GTO are mainly available after 1995. In light colors
(red and blue), trends from all datasets are overlaid in each panel to
facilitate comparison.</p></caption>
        <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/2097/2018/acp-18-2097-2018-f07.png"/>

      </fig>

      <p id="d1e4019">In Fig. <xref ref-type="fig" rid="Ch1.F7"/>, zonal mean total ozone trends before and after the ODS
peak in 1996 are shown for all five datasets as a function of latitude from
60<inline-formula><mml:math id="M192" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S to 60<inline-formula><mml:math id="M193" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N in steps of 5<inline-formula><mml:math id="M194" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>. In order to better
compare the results from one dataset to the others, all remaining datasets
are overplotted without their uncertainties. For all datasets, the trends
since 1996 are mostly below 1 <inline-formula><mml:math id="M195" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">decade</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> similar to the results
obtained in our previous study <xref ref-type="bibr" rid="bib1.bibx9" id="paren.95"/> and what was derived from
the broader zonal bands (previous section). For some latitudes, trends are
barely statistically significant at 2<inline-formula><mml:math id="M196" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula>. Before discussing the trends
in more detail, the way the MLR was applied to obtain the trends as well as
some other diagnostics will be presented and discussed.</p>
      <p id="d1e4080">The trends were calculated using the full MLR. The regression at each
latitude band was repeated by removing those terms in the extended regression
(Eq. <xref ref-type="disp-formula" rid="Ch1.E4"/>) for which the corresponding fit coefficient was smaller
than its 2<inline-formula><mml:math id="M197" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula> uncertainty. Figure <xref ref-type="fig" rid="Ch1.F8"/> shows the square
correlation between the regression model and observation and <inline-formula><mml:math id="M198" display="inline"><mml:mi mathvariant="italic">χ</mml:mi></mml:math></inline-formula> values as
a function of latitude for the NASA and NOAA regressions. The square
correlation varies between 0.7 and 0.9 for the full regression. The results
for the NASA fit using the standard regression are also shown, demonstrating
that adding the BDC-S term improves the fits at the SH middle latitudes and NH
tropics (higher <inline-formula><mml:math id="M199" display="inline"><mml:mrow><mml:msup><mml:mi>r</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> and lower <inline-formula><mml:math id="M200" display="inline"><mml:mi mathvariant="italic">χ</mml:mi></mml:math></inline-formula>), while BDC-N and AO improve at NH
middle latitudes. In the SH low latitudes, the standard model was sufficient (no
additional terms needed). The importance of the BDC-S term in the NH tropics
is for the first time reported and will be discussed later.</p>

      <?xmltex \floatpos{t}?><?pagebreak page2108?><fig id="Ch1.F8"><caption><p id="d1e4122">Correlation (<inline-formula><mml:math id="M201" display="inline"><mml:mrow><mml:msup><mml:mi>r</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>) between observed time series and regression
(black) and MLR residual (<inline-formula><mml:math id="M202" display="inline"><mml:mi mathvariant="italic">χ</mml:mi></mml:math></inline-formula>, blue) as a function of latitude. Results
are shown for NASA and NOAA data using the full regression as well as results
from standard MLR (NASA only). See caption for Fig. <xref ref-type="fig" rid="Ch1.F2"/> for the
definition of <inline-formula><mml:math id="M203" display="inline"><mml:mi mathvariant="italic">χ</mml:mi></mml:math></inline-formula>. Improvement in the regression is evident from adding
BDC-S at SH middle latitudes and NH subtropics and by adding BDC-N and AO
terms (NH middle latitudes) to the standard regression as indicated by the
red arrows.</p></caption>
        <?xmltex \igopts{width=227.622047pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/2097/2018/acp-18-2097-2018-f08.png"/>

      </fig>

      <p id="d1e4158">An important question arises as to how sensitive the trends are, in
particular the ones after 1996, to additional terms from Eq. (<xref ref-type="disp-formula" rid="Ch1.E4"/>) in
the regression. As an example, the trend results for the NOAA data using the
standard model and the full MLR are displayed in Fig. <xref ref-type="fig" rid="Ch1.F9"/>. The
post-ODS peak trends are nearly unchanged, indicating that the recent trends
are not sensitive to the additional terms used, which is the case for all
datasets; however, the full MLR reduces the trend uncertainty. Within the
uncertainties, the pre-1996 trends are also identical in the standard and full
MLRs. At the NH middle latitudes, the addition of the BDC-N and AO terms reduces
the downward trend until 1996 by about 1 <inline-formula><mml:math id="M204" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">decade</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>. As all
proxies were not detrended, the AO and BDC-N terms also contribute to the
long-term trends (thus reducing the remaining linear trends). Apart from the
year-to-year variability, the AO index increased throughout the 1980s along
with the EESC (ODSs) as shown in Fig. 1 in <xref ref-type="bibr" rid="bib1.bibx89" id="text.96"/> (see also
<xref ref-type="bibr" rid="bib1.bibx93" id="altparen.97"/>). The very high total ozone observed at NH middle
latitudes in 2010 (Fig. <xref ref-type="fig" rid="Ch1.F2"/>) was linked to extreme negative AO
<xref ref-type="bibr" rid="bib1.bibx76" id="paren.98"/> as well as a very strong NH BDC
<xref ref-type="bibr" rid="bib1.bibx89" id="paren.99"/> during Arctic winter in the same year.</p>
      <p id="d1e4197">The contribution of the various factors (solar cycle, QBO, ENSO, aerosol, and
so on) to ozone variability as a function of latitude is shown in
Fig. <xref ref-type="fig" rid="Ch1.F10"/> for two of the datasets (NASA, WOUDC). Plotted are the
signed maximum responses in Dobson units (DU), which are the differences between the maximum
and minimum values of the regression term time series. A negative sign means
that the ozone response is anticorrelated with the proxy change. The ozone
response to the factors are in very good agreement with our previous results
from <xref ref-type="bibr" rid="bib1.bibx9" id="text.100"/> based on data up to 2012. The maximum solar
response of about 4–6 DU in the tropics is in agreement with the <inline-formula><mml:math id="M205" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M206" display="inline"><mml:mi mathvariant="normal">%</mml:mi></mml:math></inline-formula> change from solar minimum to maximum in the lower stratosphere
reported by <xref ref-type="bibr" rid="bib1.bibx73" id="text.101"/>. Solar ozone responses are significant at
all latitudes and are the result of the solar impact on atmospheric dynamics
<xref ref-type="bibr" rid="bib1.bibx32" id="paren.102"/>.</p>
      <p id="d1e4229">In the inner tropics, the ozone response to the QBO terms changes sign
poleward of 10–15<inline-formula><mml:math id="M207" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> latitudes in each hemisphere, which means
positive ozone changes in the inner tropics are observed in years dominated
by the QBO west phase. A new result is that the BDC-S has a significant
contribution at low NH latitudes. At middle latitudes above about
40<inline-formula><mml:math id="M208" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>, ozone increases are associated with high absolute eddy heat fluxes (BDC
proxy) as expected from the enhanced downwelling related to a stronger
residual circulation. The opposite effect is seen at low latitudes (ascending
branch of the BDC) with lower ozone due to enhanced upwelling and horizontal
divergence <xref ref-type="bibr" rid="bib1.bibx60 bib1.bibx89" id="paren.103"/>. Indeed, the BDC-S ozone response has
opposite signs between the low and high latitudes. The extension of the BDC-S
response into NH low latitudes may be a result of the upper branch of the SH
meridional circulation extending into the NH <xref ref-type="bibr" rid="bib1.bibx2" id="paren.104"/>. It is
somewhat surprising that a similar tropical response is not evident in the
NH. However, the QBO indices have a significant correlation with the BDC-N
proxy (<inline-formula><mml:math id="M209" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>∼</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.7</mml:mn></mml:mrow></mml:math></inline-formula>). The lower stratospheric QBO in the west phase (positive
QBO index) allows planetary waves to be more strongly deflected towards the
Equator, thus reducing the perturbation of the westerly flow in the
extratropical stratosphere <xref ref-type="bibr" rid="bib1.bibx4" id="paren.105"/>, resulting in a weakening of
the meridional winter BDC, lower middle latitude eddy heat flux,
and reduced high latitude ozone due to reduced downwelling and higher ozone
losses due to lower polar stratospheric temperatures
<xref ref-type="bibr" rid="bib1.bibx89" id="paren.106"><named-content content-type="pre">e.g.,</named-content></xref>.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9"><caption><p id="d1e4282">Linear trends in % decade<inline-formula><mml:math id="M210" 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> before and after 1996 by applying
the standard (red) and extended MLR (blue) to NOAA data. Uncertainties are
given as 2<inline-formula><mml:math id="M211" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula>. Dashed lines are the trends after 1996 and solid lines
before 1996.</p></caption>
        <?xmltex \igopts{width=227.622047pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/2097/2018/acp-18-2097-2018-f09.png"/>

      </fig>

      <?xmltex \floatpos{t}?><?pagebreak page2109?><fig id="Ch1.F10" specific-use="star"><caption><p id="d1e4312">Signed maximum response during the period 1979–2016 from various
factors (terms) in the MLR. <bold>(a)</bold> NASA data; <bold>(b)</bold> WOUDC data.
Negative values mean that total ozone is anticorrelated with the
corresponding proxy (factor). Maximum response is the difference between the
maximum and minimum values of the regression term in the MLR time series. Note
that, in the MLR regression, negative values of the BDC-S proxy are used, meaning
that positive values correspond to enhanced BDC driving in both
hemispheres.</p></caption>
        <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/2097/2018/acp-18-2097-2018-f10.png"/>

      </fig>

      <p id="d1e4327">The aerosol effect due to the Mt. Pinatubo eruption in 1991 has the largest
effect on ozone at high northern latitudes with a reduction of up to 20 DU
(NASA) to 25 DU (WOUDC) in 1993. Significant ozone depletion was also
observed in the NH following the El Chichón major volcanic eruption in
1982 <xref ref-type="bibr" rid="bib1.bibx36" id="paren.107"><named-content content-type="pre">e.g.,</named-content></xref>. A positive ozone response to the El
Chichón is evident in the SH middle latitudes, most likely due to the
specific circulation changes induced by this volcanic event
<xref ref-type="bibr" rid="bib1.bibx65 bib1.bibx3 bib1.bibx20" id="paren.108"/>. This is also believed to
have caused an initial extratropical increase in SH extratropical total ozone
during the first 6 months following the Pinatubo eruption.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T4" specific-use="star"><caption><p id="d1e4341">The 2000–2016 polar total ozone trends in March (NH), September (SH), and October (SH). Uncertainties are provided for 2<inline-formula><mml:math id="M212" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula>
and trends in bold indicate statistical significance. <inline-formula><mml:math id="M213" display="inline"><mml:mrow><mml:msup><mml:mi>r</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> is the squared Pearson correlation and <inline-formula><mml:math id="M214" display="inline"><mml:mi mathvariant="italic">χ</mml:mi></mml:math></inline-formula> the residual (see caption of Table <xref ref-type="table" rid="Ch1.T3"/>).
The results were obtained from the standard MLR with the respective hemispheric BDC term added.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="8">
     <oasis:colspec colnum="1" colname="col1" align="justify" colwidth="51.214961pt"/>
     <oasis:colspec colnum="2" colname="col2" align="justify" colwidth="68.286614pt"/>
     <oasis:colspec colnum="3" colname="col3" align="justify" colwidth="71.13189pt"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Zonal bands</oasis:entry>  
         <oasis:entry colname="col2">MLR</oasis:entry>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4">NASA</oasis:entry>  
         <oasis:entry colname="col5">NOAA</oasis:entry>  
         <oasis:entry colname="col6">GSG</oasis:entry>  
         <oasis:entry colname="col7">GTO</oasis:entry>  
         <oasis:entry colname="col8">WOUDC</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">60–90<inline-formula><mml:math id="M216" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col2">standard + BDC-N</oasis:entry>  
         <oasis:entry colname="col3">trend <inline-formula><mml:math id="M217" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 2000 (% decade<inline-formula><mml:math id="M218" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M219" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.4 (37)</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M220" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>1.2 (37)</oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math id="M221" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.9 (39)</oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M222" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.5 (37)</oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math id="M223" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.4 (45)</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">March</oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3">trend <inline-formula><mml:math id="M224" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 2000 (% decade<inline-formula><mml:math id="M225" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M226" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2.0 (63)</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M227" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>3.4 (64)</oasis:entry>  
         <oasis:entry colname="col6">–</oasis:entry>  
         <oasis:entry colname="col7">–</oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math id="M228" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2.8 (75)</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M229" display="inline"><mml:mrow><mml:msup><mml:mi>r</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">0.80</oasis:entry>  
         <oasis:entry colname="col5">0.81</oasis:entry>  
         <oasis:entry colname="col6">0.80</oasis:entry>  
         <oasis:entry colname="col7">0.80</oasis:entry>  
         <oasis:entry colname="col8">0.70</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M230" display="inline"><mml:mi mathvariant="italic">χ</mml:mi></mml:math></inline-formula> (DU)</oasis:entry>  
         <oasis:entry colname="col4">14.2</oasis:entry>  
         <oasis:entry colname="col5">14.5</oasis:entry>  
         <oasis:entry colname="col6">15.2</oasis:entry>  
         <oasis:entry colname="col7">14.2</oasis:entry>  
         <oasis:entry colname="col8">17.7</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">60–90<inline-formula><mml:math id="M231" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S</oasis:entry>  
         <oasis:entry colname="col2">standard <inline-formula><mml:math id="M232" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> BDC-S</oasis:entry>  
         <oasis:entry colname="col3">trend <inline-formula><mml:math id="M233" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 2000 (% decade<inline-formula><mml:math id="M234" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col4"><bold>+10.1 (69)</bold></oasis:entry>  
         <oasis:entry colname="col5"><bold>+8.1 (73)</bold></oasis:entry>  
         <oasis:entry colname="col6"><bold>+8.2 (62)</bold></oasis:entry>  
         <oasis:entry colname="col7"><bold>+9.1 (56)</bold></oasis:entry>  
         <oasis:entry colname="col8"><bold>+8.6 (68)</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">September</oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3">trend <inline-formula><mml:math id="M235" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 2000 (% decade<inline-formula><mml:math id="M236" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col4"><bold>–12.2 (107)</bold></oasis:entry>  
         <oasis:entry colname="col5"><bold>–13.9 (114)</bold></oasis:entry>  
         <oasis:entry colname="col6">–</oasis:entry>  
         <oasis:entry colname="col7">–</oasis:entry>  
         <oasis:entry colname="col8"><bold>–19.3 (106)</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M237" display="inline"><mml:mrow><mml:msup><mml:mi>r</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">0.82</oasis:entry>  
         <oasis:entry colname="col5">0.85</oasis:entry>  
         <oasis:entry colname="col6">0.90</oasis:entry>  
         <oasis:entry colname="col7">0.90</oasis:entry>  
         <oasis:entry colname="col8">0.88</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M238" display="inline"><mml:mi mathvariant="italic">χ</mml:mi></mml:math></inline-formula> (DU)</oasis:entry>  
         <oasis:entry colname="col4">14.1</oasis:entry>  
         <oasis:entry colname="col5">15.0</oasis:entry>  
         <oasis:entry colname="col6">12.8</oasis:entry>  
         <oasis:entry colname="col7">12.0</oasis:entry>  
         <oasis:entry colname="col8">14.0</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">60–90<inline-formula><mml:math id="M239" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S</oasis:entry>  
         <oasis:entry colname="col2">standard <inline-formula><mml:math id="M240" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> BDC-S</oasis:entry>  
         <oasis:entry colname="col3">trend <inline-formula><mml:math id="M241" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 2000 (% decade<inline-formula><mml:math id="M242" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M243" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.9 (77)</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M244" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>2.1 (71)</oasis:entry>  
         <oasis:entry colname="col6">2.7 (76)</oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M245" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>2.7 (79)</oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math id="M246" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>5.7 (102)</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">October</oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3">trend <inline-formula><mml:math id="M247" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 2000 (% decade<inline-formula><mml:math id="M248" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col4"><bold>–18.0 (122)</bold></oasis:entry>  
         <oasis:entry colname="col5"><bold>–18.1 (112)</bold></oasis:entry>  
         <oasis:entry colname="col6">–</oasis:entry>  
         <oasis:entry colname="col7">–</oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math id="M249" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>12.7(161)</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M250" display="inline"><mml:mrow><mml:msup><mml:mi>r</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">0.82</oasis:entry>  
         <oasis:entry colname="col5">0.84</oasis:entry>  
         <oasis:entry colname="col6">0.81</oasis:entry>  
         <oasis:entry colname="col7">0.81</oasis:entry>  
         <oasis:entry colname="col8">0.75</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M251" display="inline"><mml:mi mathvariant="italic">χ</mml:mi></mml:math></inline-formula> (DU)</oasis:entry>  
         <oasis:entry colname="col4">16.8</oasis:entry>  
         <oasis:entry colname="col5">15.5</oasis:entry>  
         <oasis:entry colname="col6">16.6</oasis:entry>  
         <oasis:entry colname="col7">17.2</oasis:entry>  
         <oasis:entry colname="col8">22.3</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p id="d1e4371">Bold numbers indicate statistical significance at 2<inline-formula><mml:math id="M215" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula>.</p></table-wrap-foot></table-wrap>

      <?xmltex \floatpos{t}?><?pagebreak page2110?><fig id="Ch1.F11" specific-use="star"><caption><p id="d1e5050">Total ozone time series for the SH and NH polar cap (60–90<inline-formula><mml:math id="M252" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>)
and MLR time series (orange line) applied to one of the datasets.
<bold>(a)</bold> SH September and MLR applied to GSG; <bold>(b)</bold> October and
MLR applied to GTO; <bold>(c)</bold> NH March and MLR applied to NOAA. MLR
results are shown for the standard regression plus respective hemispheric BDC
term. </p></caption>
        <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/2097/2018/acp-18-2097-2018-f11.png"/>

      </fig>

      <p id="d1e5077">Similar to the results from the broad zonal band trends, Fig. <xref ref-type="fig" rid="Ch1.F7"/>
shows that the latitude-dependent post-ODS peak trends (Fig. <xref ref-type="fig" rid="Ch1.F7"/>) are
generally smaller than the trends reported in the last WMO/UNEP ozone
assessment <xref ref-type="bibr" rid="bib1.bibx59" id="paren.109"/> which varied between <inline-formula><mml:math id="M253" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> and
<inline-formula><mml:math id="M254" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>2 <inline-formula><mml:math id="M255" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">decade</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>. The NH extratropical trends are below
<inline-formula><mml:math id="M256" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">0.5</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M257" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">decade</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> and statistically insignificant. In the SH,
trends can reach up to <inline-formula><mml:math id="M258" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">0.7</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M259" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">decade</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> and at some latitudes
barely reach the <inline-formula><mml:math id="M260" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mi mathvariant="italic">σ</mml:mi></mml:mrow></mml:math></inline-formula> uncertainty level, except for the NASA dataset.</p>
      <p id="d1e5186">Largest variations in trends between the datasets are seen in the tropics.
Here, both SBUV datasets show basically zero trends, the WOUDC and GTO
negative trends in the inner tropics, and GSG statistically significant
positive trends that are near 10<inline-formula><mml:math id="M261" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> latitudes reaching about
<inline-formula><mml:math id="M262" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">0.8</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M263" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">decade</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>. Near the same latitudes, WOUDC trends are also
positive and statistically significant. One large issue is that the
ground-based data are quite sparse in the tropics, particularly at SH
latitudes, and generally towards the end of the data record as many stations
have not yet submitted updates to the database.</p>
      <p id="d1e5225">An interesting result is that NH subtropical trends (20–30<inline-formula><mml:math id="M264" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N) peak
at about <inline-formula><mml:math id="M265" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M266" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">decade</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> and are significant, with the exception
of those in the GTO dataset, which are at the lower end of the range observed. The
subtropics are regions where total ozone shows quite large gradients in the
transition from the tropics (lower ozone) to the extratropics (higher ozone).
A shift of the subtropical transport barrier into the tropical region could
increase ozone at subtropical latitudes. Indeed, a southward shift of about
5<inline-formula><mml:math id="M267" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> of the tropical belt below 30 km altitude has been inferred from
lower stratospheric ozone trends <xref ref-type="bibr" rid="bib1.bibx78 bib1.bibx22" id="paren.110"/>. A recent study
by <xref ref-type="bibr" rid="bib1.bibx33" id="text.111"/> indicates that lower stratospheric age of air in the NH
subtropics and extratropics has been increasing in recent years (subtropical
air becoming more extratropical and reduced BDC in NH), while in
the SH subtropics age of air has variable trends in the lower stratosphere
that can be negative and positive depending on altitude and is largely
negative in the SH extratropics. The latter would mean that the BDC
is getting stronger in the SH, which would result in larger SH extratropical
lower stratospheric ozone trends as compared to the NH. However, the recent
stratospheric ozone profile trend studies do not indicate such a hemispheric
trend asymmetry in the lower stratosphere <xref ref-type="bibr" rid="bib1.bibx7 bib1.bibx77 bib1.bibx68" id="paren.112"/>.</p>

<?xmltex \floatpos{t}?><?pagebreak page2111?><table-wrap id="Ch1.T5" specific-use="star"><caption><p id="d1e5286">The 1979–1996 and 1997–2016 annual and near-global mean total ozone
trends. For further information on variables, see
Table <xref ref-type="table" rid="Ch1.T3"/>. Results are from the standard MLR and the
full MLR including BDC terms from both hemispheres and the AO term.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="8">
     <oasis:colspec colnum="1" colname="col1" align="justify" colwidth="65.441339pt"/>
     <oasis:colspec colnum="2" colname="col2" align="justify" colwidth="28.452756pt"/>
     <oasis:colspec colnum="3" colname="col3" align="justify" colwidth="108.120472pt"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Zonal bands</oasis:entry>  
         <oasis:entry colname="col2">MLR</oasis:entry>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4">NASA</oasis:entry>  
         <oasis:entry colname="col5">NOAA</oasis:entry>  
         <oasis:entry colname="col6">GSG</oasis:entry>  
         <oasis:entry colname="col7">GTO</oasis:entry>  
         <oasis:entry colname="col8">WOUDC</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M269" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>60<inline-formula><mml:math id="M270" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S–60<inline-formula><mml:math id="M271" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col2">full</oasis:entry>  
         <oasis:entry colname="col3">trend <inline-formula><mml:math id="M272" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 1996 (% decade<inline-formula><mml:math id="M273" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M274" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.2 (3)</oasis:entry>  
         <oasis:entry colname="col5"><bold>+0.5 (4)</bold></oasis:entry>  
         <oasis:entry colname="col6"><bold>+0.7 (3)</bold></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M275" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.2 (3)</oasis:entry>  
         <oasis:entry colname="col8"><bold>+0.6 (3)</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Annual</oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3">trend <inline-formula><mml:math id="M276" display="inline"><mml:mo>≤</mml:mo></mml:math></inline-formula> 1996 (% decade<inline-formula><mml:math id="M277" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col4"><bold>–1.8 (7)</bold></oasis:entry>  
         <oasis:entry colname="col5"><bold>–2.0 (7)</bold></oasis:entry>  
         <oasis:entry colname="col6">–</oasis:entry>  
         <oasis:entry colname="col7">–</oasis:entry>  
         <oasis:entry colname="col8"><bold>–1.2 (6)</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M278" display="inline"><mml:mrow><mml:msup><mml:mi>r</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">0.92</oasis:entry>  
         <oasis:entry colname="col5">0.92</oasis:entry>  
         <oasis:entry colname="col6">0.94</oasis:entry>  
         <oasis:entry colname="col7">0.94</oasis:entry>  
         <oasis:entry colname="col8">0.92</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M279" display="inline"><mml:mi mathvariant="italic">χ</mml:mi></mml:math></inline-formula> (DU)</oasis:entry>  
         <oasis:entry colname="col4">1.3</oasis:entry>  
         <oasis:entry colname="col5">1.3</oasis:entry>  
         <oasis:entry colname="col6">1.2</oasis:entry>  
         <oasis:entry colname="col7">1.2</oasis:entry>  
         <oasis:entry colname="col8">1.2</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M280" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>60<inline-formula><mml:math id="M281" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S–60<inline-formula><mml:math id="M282" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col2">standard</oasis:entry>  
         <oasis:entry colname="col3">trend <inline-formula><mml:math id="M283" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 1996 (% decade<inline-formula><mml:math id="M284" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M285" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.2 (3)</oasis:entry>  
         <oasis:entry colname="col5"><bold>+0.5 (3)</bold></oasis:entry>  
         <oasis:entry colname="col6"><bold>+0.7 (3)</bold></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M286" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.2 (3)</oasis:entry>  
         <oasis:entry colname="col8"><bold>+0.6 (4)</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Annual</oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3">trend <inline-formula><mml:math id="M287" display="inline"><mml:mo>≤</mml:mo></mml:math></inline-formula> 1996 (% decade<inline-formula><mml:math id="M288" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col4"><bold>–2.1 (7)</bold></oasis:entry>  
         <oasis:entry colname="col5"><bold>–2.3 (7)</bold></oasis:entry>  
         <oasis:entry colname="col6">–</oasis:entry>  
         <oasis:entry colname="col7">–</oasis:entry>  
         <oasis:entry colname="col8"><bold>–1.7 (6)</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M289" display="inline"><mml:mrow><mml:msup><mml:mi>r</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">0.90</oasis:entry>  
         <oasis:entry colname="col5">0.91</oasis:entry>  
         <oasis:entry colname="col6">0.91</oasis:entry>  
         <oasis:entry colname="col7">0.93</oasis:entry>  
         <oasis:entry colname="col8">0.86</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M290" display="inline"><mml:mi mathvariant="italic">χ</mml:mi></mml:math></inline-formula> (DU)</oasis:entry>  
         <oasis:entry colname="col4">1.3</oasis:entry>  
         <oasis:entry colname="col5">1.4</oasis:entry>  
         <oasis:entry colname="col6">1.3</oasis:entry>  
         <oasis:entry colname="col7">1.2</oasis:entry>  
         <oasis:entry colname="col8">1.4</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p id="d1e5291">Bold numbers indicate statistical significance at 2<inline-formula><mml:math id="M268" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula>.</p></table-wrap-foot></table-wrap>

</sec>
<sec id="Ch1.S6">
  <title>Trends in polar spring</title>
      <p id="d1e5767">In a recent study by <xref ref-type="bibr" rid="bib1.bibx72" id="text.113"/>, evidence for a significant positive
trend in the SH polar region in September was reported. Other studies also
indicated some early signs of ozone recovery in Antarctic spring and summer
<xref ref-type="bibr" rid="bib1.bibx63 bib1.bibx41" id="paren.114"/>. September and October are months when the
ozone hole area reaches its maximum and total ozone above Antarctica exhibits
minimum values (see
<uri>https://ozonewatch.gsfc.nasa.gov/meteorology/SH.html</uri>). A MLR has been
applied to monthly mean polar total ozone for September and October in the SH
as well as March in the NH. In the Arctic, substantial polar ozone depletion
is sporadically observed when stratospheric winter and spring are
sufficiently cold <xref ref-type="bibr" rid="bib1.bibx49 bib1.bibx48" id="paren.115"><named-content content-type="pre">e.g.,</named-content></xref>. For these 3 months,
the monthly mean proxies for the respective months were used in the MLR,
except for the BDC proxies which were taken as an average from March to
September or October in the SH, respectively, and from September to March in
the NH. We use the year 2000 as a start for the post-ODS peak trends
<xref ref-type="bibr" rid="bib1.bibx55" id="paren.116"/>. The regression results are summarized in
Table <xref ref-type="table" rid="Ch1.T4"/> and MLR time series are shown for each of the
months for one of the total ozone datasets in Fig. <xref ref-type="fig" rid="Ch1.F11"/>.</p>
      <p id="d1e5792">In SH September, the post-ODS peak trends of the various datasets vary between
<inline-formula><mml:math id="M291" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M292" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M293" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">decade</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> with a <inline-formula><mml:math id="M294" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mi mathvariant="italic">σ</mml:mi></mml:mrow></mml:math></inline-formula> uncertainty of about
7 <inline-formula><mml:math id="M295" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">decade</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>. The Antarctic September trend is barely
significant at the 2<inline-formula><mml:math id="M296" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula> level and confirms the findings of
<xref ref-type="bibr" rid="bib1.bibx72" id="text.117"/>. Changes in the regression model, use of different
proxies, and considerations of inherent drift uncertainties can easily remove
the significance <xref ref-type="bibr" rid="bib1.bibx16 bib1.bibx11" id="paren.118"/>. In contrast, the October
trends are much smaller (about 3 <inline-formula><mml:math id="M297" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">decade</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>) and statistically
insignificant, which is also in agreement with <xref ref-type="bibr" rid="bib1.bibx72" id="text.119"/>.</p>
      <p id="d1e5893"><xref ref-type="bibr" rid="bib1.bibx72" id="text.120"/> and <xref ref-type="bibr" rid="bib1.bibx37" id="text.121"/> showed from chemistry–climate model
simulations that the Calbuco volcanic event substantially contributed to the
observed polar ozone loss in 2015. Even though we used the aerosol data from
<xref ref-type="bibr" rid="bib1.bibx52" id="text.122"/>, as used by <xref ref-type="bibr" rid="bib1.bibx72" id="text.123"/> and <xref ref-type="bibr" rid="bib1.bibx37" id="text.124"/> as input to
their climate model, as a proxy in our regression, the impact of the aerosol
term  was found to be negligible in 2015. The apparent contradiction of the
aerosol impact on Antarctic ozone between Solomon and Ivy et al. and our study
should not be overstated. The fitting of the aerosol proxy data based on Mills
et al. is dominated by the Pinatubo event and may therefore not be properly
scaled during the Calbuco volcanic event. It is difficult to isolate minor
volcanic events with stratospheric impact in the MLR using separate aerosol
proxy terms as is done for the larger El Chichón and Pinatubo
events. This is clearly a limitation of the MLR approach.</p>
      <p id="d1e5910">In the Arctic, March total ozone trends are quite small (below
1 <inline-formula><mml:math id="M298" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">decade</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>) and insignificant, similar to the trends observed
in NH middle latitude annual means, albeit with much larger uncertainties (on
the order of 4 <inline-formula><mml:math id="M299" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">decade</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> at 2<inline-formula><mml:math id="M300" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula>). Also, the pre-ODS peak
trends in the Arctic (about <inline-formula><mml:math id="M301" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M302" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">decade</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 similar to the
annual mean trends observed in the extratropics (30–60<inline-formula><mml:math id="M303" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N). At
first sight, it seems surprising, as in the 1990s and selected years after 2000
there was substantial polar ozone depletion. As the polar ozone losses occur
mostly in cold Arctic winters that are usually associated with years of very
low BDC driving, it seems that the BDC term in the MLR accounted for the
polar chemical losses. The remaining trends are in excellent agreement with
the “gas-phase” chemistry trends at middle latitudes (before and after the
ODS peak). In the SH, the polar ozone losses are much larger and the
“linear” scaling of polar losses with the BDC proxy is not fully given so
that the Antarctic trends are larger, or, in other words, the linear trends may
have non-negligible contributions from polar ozone losses.</p>

      <?xmltex \floatpos{t}?><?pagebreak page2112?><fig id="Ch1.F12"><caption><p id="d1e5994">Near-global total ozone time series (60<inline-formula><mml:math id="M304" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S–60<inline-formula><mml:math id="M305" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N)
and MLR time series (orange line) applied to GSG <bold>(a)</bold> and
GTO <bold>(b)</bold>. Full MLR was applied including both BDC terms and AO.</p></caption>
        <?xmltex \igopts{width=227.622047pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/2097/2018/acp-18-2097-2018-f12.png"/>

      </fig>

</sec>
<sec id="Ch1.S7" sec-type="conclusions">
  <title>Summary and conclusions</title>
      <p id="d1e6033">Updated trends were derived from five different merged total ozone datasets
that have been extended up to the year 2016. A MLR with ILTs before and after
the maximum stratospheric halogen content (<inline-formula><mml:math id="M306" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1996) was applied to
annual means in broad zonal bands as well as narrow 5<inline-formula><mml:math id="M307" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> latitude bands
up to 60<inline-formula><mml:math id="M308" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> latitudes. In most cases, the results from the last ozone
assessment <xref ref-type="bibr" rid="bib1.bibx59" id="paren.125"/> and from other studies <xref ref-type="bibr" rid="bib1.bibx9 bib1.bibx95" id="paren.126"><named-content content-type="post">and earlier
studies</named-content></xref> confirmed that total ozone has been
stable since about 1996, which is a significant change from the earlier
decline observed globally outside the tropics. Globally, the post-ODS peak
trends vary generally between near-zero trends (NH extratropics) and positive
trends of <inline-formula><mml:math id="M309" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">0.7</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M310" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">decade</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> (SH extratropics) with a statistical
trend uncertainty of about 0.7 <inline-formula><mml:math id="M311" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">decade</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> (2<inline-formula><mml:math id="M312" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula>) after
20 years of observations. We may therefore conclude that we are about to
emerge into the phase of ozone recovery as is also shown by
chemistry–climate and chemistry–transport models
<xref ref-type="bibr" rid="bib1.bibx23 bib1.bibx66 bib1.bibx72 bib1.bibx11" id="paren.127"><named-content content-type="pre">e.g.,</named-content></xref>. Both the
regression applied to datasets (e.g., in our study) and  models
capture the dynamical variability well and their results are consistent.</p>
      <p id="d1e6126">All post-ODS peak trends are about half of the trends reported in
<xref ref-type="bibr" rid="bib1.bibx59" id="text.128"/> but the changes are still within the trend uncertainties. The
main reason is that in most regions total ozone in recent years showed annual
means that were lower than the recent decadal mean but were well within the
variability that was observed during the last 20 years.</p>
      <p id="d1e6132">In some regions, some of the datasets show significant positive trends. In
the tropical band (<inline-formula><mml:math id="M313" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">20</mml:mn><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>), recent trends are significant for two
(GSG, WOUDC) and in the SH (35–60<inline-formula><mml:math id="M314" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S) for three (GSG, GTO, WOUDC)
out of five datasets (Table <xref ref-type="table" rid="Ch1.T3"/>). The significance of
these trend estimates is close to <inline-formula><mml:math id="M315" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mi mathvariant="italic">σ</mml:mi></mml:mrow></mml:math></inline-formula>. The uncertainties reported here
are purely statistical and do not account for uncertainties that may arise
from the merging of the individual satellites <xref ref-type="bibr" rid="bib1.bibx28 bib1.bibx29" id="paren.129"/> as
well as from sparse sampling of ground-based data affecting the zonal mean
estimates. Also, the significance of trends may get altered (or become
insignificant) depending on the explicit choice of regression setup (e.g.,
which terms to add) as well as choice of proxies for a given process.
<?xmltex \hack{\newpage}?> The latitude-dependent trends (Fig. <xref ref-type="fig" rid="Ch1.F7"/>) after 1996
are largely consistent with the results from the broader zonal bands. A
striking feature is that most datasets see larger positive and statistically
significant trends at subtropical latitudes between 20 and 30<inline-formula><mml:math id="M316" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N. A
southward shift of the tropical belt <xref ref-type="bibr" rid="bib1.bibx22" id="paren.130"><named-content content-type="pre">e.g.,</named-content></xref> could be a
potential explanation; however, a recent study shows that a markedly positive
trend is not observed in most ozone profile datasets <xref ref-type="bibr" rid="bib1.bibx77" id="paren.131"/>.</p>
      <p id="d1e6195">The higher trends at NH subtropics have some impact on the near-global trends
(60<inline-formula><mml:math id="M317" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S–60<inline-formula><mml:math id="M318" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N) derived from our MLR analyses as summarized
in Table <xref ref-type="table" rid="Ch1.T5"/> and Fig. <xref ref-type="fig" rid="Ch1.F12"/>. Three out of the five
datasets (NOAA, GSG, and WOUDC) show statistically significant trends of
about <inline-formula><mml:math id="M319" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">0.6</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M320" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">decade</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> on average. This trend is smaller
than the trend derived from profile data for the period 2000 to 2013
(<inline-formula><mml:math id="M321" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">1.1</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.7</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M322" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">decade</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>) reported in Tables 2–4 of
<xref ref-type="bibr" rid="bib1.bibx59" id="text.132"/> which was derived from the combination of ozone profile
data. Figure <xref ref-type="fig" rid="Ch1.F12"/> shows the MLR results of data having the lowest
(GTO) and highest post-ODS peak trends (GSG). One should keep in mind that
from MLR analyses alone we can not uniquely attribute the observed trends, as
they may have a significant contribution from climate change and possible
feedback on atmospheric dynamics and chemistry that are difficult to
disentangle without the use of chemistry–climate models.</p>
      <p id="d1e6289">The observed positive trends above Antarctica in September since 2000 as
reported by <xref ref-type="bibr" rid="bib1.bibx72" id="text.133"/> were confirmed by our MLR analysis; however,
the impact from aersols from the recent series of minor volcanic eruptions  was found
to be minor in contrast to the results from <xref ref-type="bibr" rid="bib1.bibx72" id="text.134"/> and
<xref ref-type="bibr" rid="bib1.bibx37" id="text.135"/>. In October, the MLR trends above Antarctica were much smaller
and statistically not different from zero as were trends from the Arctic in
March for all five datasets.</p>
      <p id="d1e6301">Adding 4 years of data in the various long-term total ozone data records
has now further reduced the statistical uncertainties in the zonal mean
trends to below 1 <inline-formula><mml:math id="M323" display="inline"><mml:mrow><mml:mi mathvariant="normal">%</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">decade</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>. We consider the uncertainties
cited here as lower limits, as we do not account for added uncertainties from
the drifts in and from merging the data, the latter needed to obtain
long-term datasets, and the  data sampling was low (mainly ground-based data).</p>
      <p id="d1e6321">Continued ozone observations and monitoring  are needed to consolidate the
evidence of ozone recovery and also further improve our understanding of the
complex ozone–climate feedback (in combination with chemistry–climate
modeling) that will have  a significant impact on future evolution of ozone
<xref ref-type="bibr" rid="bib1.bibx27 bib1.bibx94 bib1.bibx59" id="paren.136"/>.</p>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability">

      <p id="d1e6331">The sources of the various datasets and proxy time series
(explanatory variables) used in this study are summarized in Tables <xref ref-type="table" rid="Ch1.T1"/> and <xref ref-type="table" rid="Ch1.T2"/>.</p>
  </notes><notes notes-type="competinginterests">

      <?pagebreak page2113?><p id="d1e6341">The authors declare that they have no conflict of
interest.</p>
  </notes><notes notes-type="sistatement">

      <p id="d1e6347">This article is part of the special issue “Quadrennial Ozone
Symposium 2016 – Status and trends of atmospheric ozone (ACP/AMT
inter-journal SI)”. It is a result of the Quadrennial Ozone Symposium 2016,
Edinburgh, United Kingdom, 4–9 September 2016.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e6353">Melanie Coldewey-Egbers and Diego Loyola are grateful for the support by the ESA
Climate Change Initiative project ozone_cci. Mark Weber and John P. Burrows acknowledge the
financial support of the DFG Research Unit SHARP (Stratospheric Change and its
Role for Climate Prediction) and the state of Bremen. Stacey M. Frith is supported by the NASA Long Term Measurement of Ozone program WBS 479717. We are grateful for the very helpful comments by both
reviewers.<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
The article processing charges for this open-access <?xmltex \hack{\newline}?>
publication were covered by the University of Bremen.
<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>Edited by: Stefan Reis
<?xmltex \hack{\newline}?>
Reviewed by: two anonymous referees</p></ack><ref-list>
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<abstract-html><p class="p">We report on updated trends using different merged datasets from satellite
and ground-based observations for the period from 1979 to 2016. Trends were
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Meteorological Organization (WMO) ozone assessment (2013–2016) shows that
for most datasets and regions the trends since the stratospheric halogen
reached its maximum ( ∼  1996 globally and  ∼  2000 in polar regions)
are mostly not significantly different from zero. However, for some
latitudes, in particular the Southern Hemisphere extratropics and Northern
Hemisphere subtropics, several datasets show small positive trends of
slightly below +1 % decade<sup>−1</sup> that are barely statistically
significant at the 2<i>σ</i> uncertainty level. In the tropics, only two
datasets show significant trends of +0.5 to +0.8 % decade<sup>−1</sup>,
while the others show near-zero trends. Positive trends since 2000 have been
observed over Antarctica in September, but near-zero trends are found in
October as well as in March over the Arctic. Uncertainties due to possible
drifts between the datasets, from the merging procedure used to combine
satellite datasets and related to the low sampling of ground-based data, are
not accounted for in the trend analysis. Consequently, the retrieved trends
can be only considered to be at the brink of becoming significant, but there
are indications that we are about to emerge into the expected recovery phase.
However, the recent trends are still considerably masked by the observed
large year-to-year dynamical variability in total ozone.</p></abstract-html>
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