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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 GmbH</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>

    <article-meta>
      <article-id pub-id-type="doi">10.5194/acp-15-10839-2015</article-id><title-group><article-title>Springtime daily variations in lower-tropospheric ozone over
east
Asia: the role of cyclonic activity and pollution as<?xmltex \hack{\newline}?> observed
from space with IASI</article-title>
      </title-group><?xmltex \runningtitle{Springtime daily variations in lower-tropospheric ozone}?><?xmltex \runningauthor{G.~Dufour et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Dufour</surname><given-names>G.</given-names></name>
          <email>gaelle.dufour@lisa.u-pec.fr</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Eremenko</surname><given-names>M.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Cuesta</surname><given-names>J.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Doche</surname><given-names>C.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Foret</surname><given-names>G.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Beekmann</surname><given-names>M.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3 aff1">
          <name><surname>Cheiney</surname><given-names>A.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Wang</surname><given-names>Y.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Cai</surname><given-names>Z.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Liu</surname><given-names>Y.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-9305-5358</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Takigawa</surname><given-names>M.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-5666-6026</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Kanaya</surname><given-names>Y.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Flaud</surname><given-names>J.-M.</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Laboratoire Inter-universitaire des Systèmes
Atmosphériques (LISA), UMR7583, Universités Paris-Est Créteil et
Paris Diderot, CNRS, Créteil, France</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Météo France, Direction Inter-Régionale
Sud-Ouest, Division Etudes et Climatologie, Mérignac,
France</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Institut National de l'Environnement industriel et des
RISques, INERIS, Verneuil-en-Halatte, France</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Key Laboratory of Middle Atmosphere and Global
Environment Observation, Institute of Atmospheric Physics, Chinese Academy
of Sciences, Beijing, China</institution>
        </aff>
        <aff id="aff5"><label>5</label><institution>Japan Agency for Marine-Earth Science and Technology,
Yokohama, Japan</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">G. Dufour (gaelle.dufour@lisa.u-pec.fr)</corresp></author-notes><pub-date><day>29</day><month>September</month><year>2015</year></pub-date>
      
      <volume>15</volume>
      <issue>18</issue>
      <fpage>10839</fpage><lpage>10856</lpage>
      <history>
        <date date-type="received"><day>18</day><month>February</month><year>2015</year></date>
           <date date-type="rev-request"><day>27</day><month>March</month><year>2015</year></date>
           <date date-type="rev-recd"><day>28</day><month>August</month><year>2015</year></date>
           <date date-type="accepted"><day>13</day><month>September</month><year>2015</year></date>
      </history>
      <permissions>
<license license-type="open-access">
<license-p>This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/3.0/">http://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</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>
    <p>We use satellite observations from IASI (Infrared Atmospheric Sounding
Interferometer) on board the MetOp-A satellite to evaluate the springtime
daily variations in lower-tropospheric ozone over east Asia. The
availability of semi-independent columns of ozone from the surface up to 12
km simultaneously with CO columns provides a powerful observational data set
to diagnose the processes controlling tropospheric ozone enhancement on
synoptic scales. By combining IASI observations with meteorological
reanalyses from ERA-Interim, we develop an analysis method based only on IASI
ozone and CO observations to identify the respective roles of the
stratospheric source and the photochemical source in ozone distribution and
variations over east Asia. The succession of low- and high-pressure
systems drives the day-to-day variations in lower-tropospheric ozone. A case
study analysis of one frontal system and one cut-off low system in May 2008
shows that reversible subsiding and ascending ozone transfers in the
upper-troposphere–lower-stratosphere (UTLS) region, due to the tropopause perturbations
occurring in the vicinity of low-pressure systems, impact free and
lower-tropospheric ozone over large regions, especially north of
40<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, and largely explain the ozone enhancement observed with IASI
for these latitudes. Irreversible stratosphere–troposphere exchanges of
ozone-rich air masses occur more locally in the southern and southeastern
flanks of the trough. The contribution to the lower-tropospheric ozone column
is difficult to dissociate from the tropopause perturbations generated by
weather systems. For regions south of 40<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, a significant
correlation has been found between lower-tropospheric ozone and carbon
monoxide (CO) observations from IASI, especially over the North China Plain
(NCP). Considering carbon monoxide observations as a pollutant tracer, the
O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>–CO correlation indicates that the photochemical production of ozone
from primary pollutants emitted over such large polluted regions
significantly contributes to the ozone enhancements observed in the lower
troposphere via IASI. When low-pressure systems circulate over the NCP,
stratospheric and pollution sources play a concomitant role in the ozone
enhancement. IASI's 3-D observational capability allows the areas in which
each source dominates to be determined. Moreover, the studied cut-off low
system has enough potential convective capacity to uplift pollutants (ozone
and CO) and to transport them to Japan. The increase in the enhancement ratio
of ozone to CO from 0.16 on 12 May over the North China Plain to 0.28 over
the Sea of Japan on 14 May indicates photochemical processing during the
plume transport.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>In addition to being an important greenhouse gas (Stevenson et al., 2013),
tropospheric ozone (O<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> plays a central role in atmospheric chemistry
and air quality by controlling the oxidation processes through the formation
of hydroxyl radicals (OH) (Monks, 2005; Monks et al., 2015). Ozone at high
concentrations near the surface is a pernicious pollutant, harmful both to
human health and to vegetation (Seinfeld and Pandis, 1997; WHO, 2013).
Enhancements of ozone in the mid- and lower troposphere result from
photochemical production from precursors (NO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> and hydrocarbons) and from
stratosphere–troposphere exchanges (STEs) (Lelieveld and Dentener, 2000).
The relative contributions made by these sources depend on the season. It is
well established that the peak activity of STE occurs during winter and
spring (Monks, 2000), whereas photochemical production is more active during
the summer period. The crucial role played by weather systems (cyclonic
activity) in determining tropospheric ozone variation has also been well
established (e.g. Carmichael et al., 1998; Cooper et al., 1998, 2002a; Ding
et al., 2009). These weather systems are associated with tropopause
perturbation, especially low tropopauses, and then with subsiding and
ascending ozone transfer in the upper-troposphere–lower-stratosphere (UTLS)
region. In addition, irreversible transfers of ozone can be expected, such as
stratosphere–troposphere exchanges that would take place preferentially on
the western and southern flanks of the trough (e.g. Ancellet et al., 1994;
Holton et al., 1995; Liu et al., 2013), and downward transport from the UTLS
to the lower troposphere (e.g. Cooper et al., 2002a). Conceptual models have
been proposed to describe airstreams related to travelling low-pressure
systems at the midlatitudes (e.g. Cooper et al., 2002b). Two main mechanisms
are responsible for part of the ozone temporal and spatial variations
observed in the troposphere. The dry airstream (DA) occurring behind cold
fronts is responsible for a strong downward transport of ozone from the UTLS
down to the middle troposphere. It is often linked to tropopause folding.
This downward transport can affect ozone concentrations down to the surface,
especially at high-altitude sites (e.g. Carmichael et al., 1998; Schuepbach
et al., 1999; Dempsey, 2014). In contrast, air masses and then pollutants can
be uplifted from the surface to the free troposphere by different processes
such as deep convection, orographic lifting and frontal lifting (e.g. Bethan
et al., 1998; Hannan et al., 2003; Miyazaki et al., 2003; Cooper et al.,
2004, Ding et al., 2009, 2015; Foret et al., 2014, and references therein).
One part of these processes, the warm conveyor belts (WCBs) associated with
frontal activity and lifting have been studied mainly in the context of their
role in the long-range transport of pollutants because they lift pollutants
to levels where horizontal transport is more efficient. Several studies
focusing on the trans-Pacific transport of pollutants from east Asia
towards the United States have shown the importance of the frontal systems in
this transport process during springtime using both model simulations (e.g.
Bey et al., 2001; Liu et al., 2003; Mari et al., 2004; Lin et al., 2010) and
dedicated field campaigns (e.g. Jaffe et al., 1999; Cooper et al., 2004;
Liang et al., 2004; Oshima et al., 2004). Very recently, Ding et al. (2015)
have shown that the topography of east Asia, as well as inducing
orographic lifting, assists frontal lifting and facilitates convection,
thereby amplifying the possibility of pollutant uplifting.</p>
      <p>In recent decades, east Asia, and in particular China, has experienced
rapid economic growth. The related increasing anthropogenic emissions of
pollutants (Richter et al., 2005; Lin et al., 2013) lead to regional ozone
concentrations that are amongst the highest in the world (e.g. Chan and Yao,
2008; Zhao et al., 2009; Lelieveld and Dentener, 2000; Wang et al., 2012;
Safieddine et al., 2013). Due to the rapidly changing emissions in China, the
respective contribution made by anthropogenic and natural perturbations to
tropospheric ozone in China and its variability constitutes a crucial issue
to be documented and better understood. Seasonal variations in ozone levels
in east Asia and especially the role of the summer Asian monsoon leading
to a summer minimum have been extensively studied from model simulations and
in situ and satellite observations (e.g. Mauzerall et al., 2000; Tanimoto et
al., 2005; Yamaji et al., 2006; Li et al., 2007; Ding et al., 2008; Dufour et
al., 2010). However, on the synoptic scale, the direct impact of weather
systems on tropospheric ozone distribution above China and its daily
variations has been less extensively considered or, if so, mainly in the
context of the long-range transport of pollutants and export to the Pacific
Ocean. A recent study investigates the dynamic and chemical features induced
in the upper troposphere by cut-off lows over northeast China using limb and
nadir satellite sounders (Liu et al., 2013).</p>
      <p>The progress made in satellite observations of tropospheric ozone during the
last decade (e.g. Worden et al., 2007; Eremenko et al., 2008; Liu et al.,
2010, Nakatani et al., 2012) offers a new opportunity to evaluate ozone
distribution and its daily variation including the role of transport on the
synoptic scale (e.g. Doche et al., 2014). The satellite provides an
unprecedented spatial coverage that allows new insight into how synoptic
processes impact ozone distributions. The first satellite measurements of
tropospheric ozone were obtained using ultraviolet-visible
(UV-vis) sounders (e.g. Fishman et al., 2003; Liu et al., 2007).
Later on, the development of thermal infrared nadir sounders allowed accurate
measurements of partial tropospheric ozone columns to be obtained (Coheur et
al., 2005; Worden et al., 2007; Dufour et al., 2012; Safieddine et al.,
2013). Using Global Ozone Monitoring Experiment (GOME) and Ozone Monitoring
Instrument (OMI),
Nakatani et al. (2012) show a persistent belt of enhanced tropospheric
columns of ozone at midlatitudes over east Asia throughout the year,
partly attributed to stratospheric intrusion near the subtropical jet. The
tropospheric contribution to the enhanced ozone column has been assessed
using model simulations. Nakatani et al. (2012) underlined the difficulty in
differentiating the stratospheric and tropospheric origins of ozone in the
tropospheric columns observed by satellite. This difficulty has already been
stated by de Laat et al. (2005). However, it has been demonstrated that
thermal infrared sounders like IASI (Infrared Atmospheric Sounding
Interferometer) on board MetOp (Clerbaux et al., 2009) allow the retrieval of
semi-independent partial columns of ozone within the troposphere (Eremenko et
al., 2008; Dufour et al., 2010, 2012; Safieddine et al., 2013; Barret et al.,
2011). Dufour et al. (2010) show the ability of IASI to provide independent
information on the seasonal variation in lower- and upper-tropospheric ozone
over east Asia. Over shorter-term periods of the order of several days,
the retrieved ozone profile with IASI allows the identification of the origin
of the observed tropospheric ozone in specific cases. Very recently,
Hayashida et al. (2015) show ozone enhancement in the lower troposphere over
east Asia using the OMI space-borne ultraviolet spectrometer. They
attribute the enhancement mainly to emissions of ozone precursors from open
crop residue burning after the winter wheat harvest.</p>
      <p>In this paper, we use the IASI observation of lower-tropospheric ozone to
investigate the influence of synoptic-scale weather systems on the
distribution of ozone over east Asia. In a previous study, Dufour et
al. (2010) show that IASI lower-tropospheric ozone columns reach a maximum in
late spring and early summer (May, June) in Beijing, Shanghai and Hong Kong.
We then decided to focus our study on late spring (May), a period during
which high ozone concentrations and frequent frontal activities occur over
east Asia. We focus on May 2008, as this was the first period available
with the new version of the IASI ozone product used for this study. Two case
studies, which are associated with travelling low-pressure systems and which
present enhanced ozone in the lower troposphere, are analysed. The first case
is used to develop the analysis method based on IASI observations of ozone
(O<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and carbon monoxide (CO). We demonstrate that semi-independent
ozone columns between the surface and 12 km from IASI associated with
simultaneous CO measurements provide a powerful observational data set to
identify, at least partly, the stratospheric and anthropogenic origin of
lower free-tropospheric ozone. The contributions made to the enhanced
lower-tropospheric ozone columns by descending air from the UTLS in the
vicinity of the weather systems and by the photochemical production of ozone
are then investigated for the two case studies.</p>
      <p>The paper is structured as follows. In Sect. 2, the different satellite and
meteorological data sets are described. As a new version of the IASI ozone
product is used for this study, we provide a summary of the validation of the
product with a specific focus on east Asia in Sect. 3. The analysis method
based on ozone and CO columns is detailed in Sect. 4. Section 5 presents the
consequences of a cut-off low travelling over a highly polluted region (North
China Plain) in terms of ozone vertical distribution and pollutant transport.
A general discussion is given in Sect. 6 and a conclusion in Sect. 7.</p>
</sec>
<sec id="Ch1.S2">
  <title>Data set description</title>
<sec id="Ch1.S2.SS1">
  <title>The IASI instrument</title>
      <p>The IASI (Infrared Atmospheric Sounding Interferometer) (Clerbaux et al.,
2009) instrument, on board the MetOp-A platform since October 2006, is a
nadir-viewing Fourier transform spectrometer. It operates in the thermal
infrared between 645 and 2760 cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> with an apodized resolution of
0.5 cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. The field of view of the instrument is composed of a
2 <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 2 matrix of pixels with a diameter at nadir of 12 km each. IASI
scans the atmosphere with a swath width of 2200 km and crosses the equator
at two fixed local solar times (09:30, descending mode, and 21:30, ascending
mode), allowing the monitoring of atmospheric composition twice a day at any
location. The large spectral coverage, high radiometric sensitivity and
accuracy, and rather high spectral resolution of the instrument allow it to
measure the global distribution of several important atmospheric species
(e.g. Boynard et al., 2009; George et al., 2009; Clarisse et al., 2011).</p>
</sec>
<sec id="Ch1.S2.SS2">
  <title>Lower-tropospheric ozone from IASI</title>
      <p>The IASI ozone profiles and partial columns considered in this paper have
been retrieved using the method described in Eremenko et al. (2008). The
retrieval is performed using the radiative transfer model KOPRA (Karlsruhe
Optimised and Precise Radiative transfer Algorithm) and its inversion module
KOPRAFIT (Stiller et al., 2000; Höpfner et al., 2001), both adapted to
the nadir-viewing geometry. A constrained least squares fit method with an
analytical altitude-dependent regularization is used (Kulawik et al., 2006).
The applied regularization method is detailed in Eremenko et al. (2008). To
summarize, the regularization matrix is a combination of first-order Tikhonov
constraints (Tikhonov, 1963) with altitude-dependent coefficients. The
coefficients are optimized both to maximize the degrees of freedom (DOFs) of
the retrieval and to minimize the total error on the retrieved profile.
Compared to previous studies using this algorithm (Eremenko et al., 2008;
Dufour et al., 2010, 2012), several changes have been made. The emissivity of
the surface is now taken into account based on a global monthly IASI-derived
climatology (Zhou et al., 2011) allowing a better retrieval above arid
regions. Different a priori and constraints are used depending on the
tropopause height. This new scheme was introduced to reduce possible
compensation effects during the retrieval procedure. An automatic detection
of the tropopause height (calculated from the temperature profile retrieved
from IASI using the definition based on the lapse rate criterion; WMO, 1957)
has been introduced to discriminate between polar, midlatitudes, and tropical
situations. If the tropopause is lower than 10 km, the polar constraint and
a priori profile are used. If the tropopause is between 10 and 14 km, the
midlatitude constraint and a priori profile are used. If the tropopause is
higher than 14 km, the tropical constraint and a priori are used. The
midlatitude and tropical regularization matrices are those already used in
Eremenko et al. (2008) and Dufour et al. (2010, 2012) respectively. The polar
constraint has been specifically developed following the same method as in
Eremenko et al. (2008). The a priori profiles are compiled from the
ozonesonde climatology of McPeters et al. (2007). The midlatitude a priori
profile is set to the climatological profile of the 30–60<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N
latitude band for summer. The tropical a priori profile is set to the
climatological profile of the 10–30<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N latitude band over the year.
The polar profile is set to the climatological profile of the
60–90<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N latitude band for summer. As the version of the ozone
product used in this study differs significantly from the version extensively
validated in Dufour et al. (2012), a new validation against ozonesondes has
been conducted and the results are presented in Sect. 3. The modifications of
the algorithm do not influence the vertical sensitivity of IASI. As shown in
Dufour et al. (2010, 2012), two semi-independent partial columns of ozone
between the surface and 12 km can be considered: the lower-tropospheric
column integrating the ozone profile from the surface to 6 km altitude –
above sea level (a.s.l.) – and the upper-tropospheric column integrating the
ozone profile from 6 to 12 km altitude. Note that the latter column can
include stratospheric air masses depending on the tropopause height. The
averaging kernels give information on the vertical sensitivity and resolution
of the retrieval. The lower-tropospheric column shows a maximum sensitivity
typically between 3 and 4 km with a limited sensitivity to the surface
(Dufour et al., 2012). This implies that the ozone concentration profile in
the lower troposphere is preferentially incremented at these altitudes during
the retrieval process, independent of whether the true ozone profile is
perturbed at other altitudes, especially at the surface. Moreover, it is
worth noting that the partial columns are only semi-independent which means
that they may include partial information from altitudes outside their
altitude range. For example, the lower-tropospheric column includes
information from altitudes higher than its upper limit (6 km). In order to
estimate the fraction of contamination of the lower-tropospheric column by
higher altitudes, we calculated the ratio between the integral of the
averaging kernel of the lower-tropospheric column from 6 to 60 km and the
integral from the surface to 60 km. Higher atmospheric layers contribute to
about 20 to 30 % of the lower-tropospheric column in the midlatitude air
masses (not shown). Note that only the morning overpasses of IASI are
considered for this study in order to remain in thermal conditions with a
better sensitivity to the lower troposphere.</p>
</sec>
<sec id="Ch1.S2.SS3">
  <title>Carbon monoxide from IASI</title>
      <p>The CO data used here are retrieved from the IASI spectra within the
2143–2181.25 cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> spectral range using the FORLI-CO (Fast Optimal
Retrievals on Layers for IASI for CO) retrieval code from the Université Libre de Bruxelles (ULB).
FORLI-CO retrievals give CO concentration profiles using the optimal
estimation method (Rodgers, 2000) and a single a priori profile. More details
are given in Hurtmans et al. (2012). The IASI FORLI-CO product used in this
study is the total column, publicly available from the Ether website
(<uri>http://www.pole-ether.fr</uri>). Note that only half of the pixels are
available for the year 2008. This explains the difference in measurement
density between O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> and CO observations in the different figures. Carbon
monoxide is often used as an indicator of biomass burning and anthropogenic
pollution (e.g. Edwards et al., 2004; McMillan et al., 2010). In this study,
we use the IASI CO columns as an anthropogenic pollution tracer.</p>
</sec>
<sec id="Ch1.S2.SS4">
  <title>Meteorological data set</title>
      <p>Meteorological data from the ECMWF ERA-Interim reanalysis are used in our
analyses. The reanalysis is based on a 4-D-Var assimilation system with a 12 h analysis window. The spatial
resolution of the data set is approximately 80 km on 60 vertical levels from
the surface up to 0.1 hPa (Dee et al., 2011). In our analyses, the
meteorological parameters are taken at 00:00 UTC, corresponding roughly to
the morning overpass time of IASI. The main variables considered in this
study are the geopotential height, the potential vorticity (PV), and the
horizontal wind field (<inline-formula><mml:math display="inline"><mml:mi>u</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mi>v</mml:mi></mml:math></inline-formula> components), as well as the equivalent
potential temperature, the vertical velocity and the convective available
potential energy. The geopotential height associated with horizontal wind at
850 hPa gives a proxy for describing the weather situation and horizontal
transport in the lower troposphere, whereas the same parameters at 300 hPa
describe the situation in the UTLS. We also calculate the equivalent
potential temperature at 850
and 300 hPa from temperature, relative humidity and specific humidity
fields (Bolton, 1980) as an indicator of air mass origin (Holton, 2004).
Potential vorticity (PV) is often used as a tracer of tropopause height and
of air mass origin (e.g. Bethan et al., 1996). PV values between 1 and
1.6 PVU are representative of the upper troposphere, whereas PV values
larger than 1.6 PVU are indicators of air mass origin above the dynamical
tropopause. In this study, we consider mainly PV averaged at between 300 and
500 hPa with a 50 hPa interval as we are above all interested in the impact
of stratospheric air masses on the free troposphere. In order to investigate
the ascending motion of air masses, especially from the boundary layer
towards the free troposphere within weather systems, we examine the vertical
velocity at different pressure levels as well as the convective available
potential energy (CAPE), which provides information on the capability of the
low-pressure system to vertically transport air masses by convection.</p><?xmltex \hack{\newpage}?>
</sec>
</sec>
<sec id="Ch1.S3">
  <title>Validation of IASI lower-tropospheric ozone</title>
      <p>Significant changes in the ozone retrieval procedure compared to the
validation exercise reported in Dufour et al. (2012) have been made as
described in Sect. 2.2. A new validation exercise was done to evaluate the
new version of the ozone product. We use a database of ozonesonde
measurements from 2007 to 2012 including 27 stations in the midlatitudinal
band (30–60<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>) in both hemispheres and 16 stations in the tropical
band (30<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S to 30<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N). Most of the ozonesonde measurements
are from the WOUDC (World Ozone and Ultraviolet Radiation Data Centre,
<uri>http://woudc.org/</uri>) and SHADOZ (Southern Hemisphere ADditional
OZonesondes, <uri>http://croc.gsfc.nasa.gov/shadoz/</uri>) databases, except for
those at Aquila and Beijing. A list of stations and related information is
provided in Table 1. The coincidence criteria used for the validation are
1<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> around the station, a time difference smaller than 6 h and a
minimum of 10 clear-sky pixels matching these criteria. The results of the
comparison between IASI ozone retrievals and ozonesonde measurements are
summarized in Table 2. We focus on the lower troposphere, and no correction
factor has been applied on ozonesonde measurements. The results for other
partial columns are not significantly different compared to the previous
version of the product, extensively discussed by Dufour et al. (2012). The
bias for the lower-tropospheric column (surface to 6 km a.s.l.) is small
(<inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.6 DU, <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2.8 %) and comparable to the bias estimated at
the midlatitudes with the previous version of the product (Dufour et al.,
2012). The estimated error is about 2.8 DU (14 %), with a correlation
coefficient of 0.70. Table 2 also summarizes the results for east Asian
ozonesonde stations only (Beijing, Hong Kong, Sapporo and Tateno). A
significant bias of 2.2 DU (9.5 %) with IASI underestimating ozone
partial columns is determined. The bias is similar for Beijing, Hong Kong,
and Tateno (<inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2.6 DU) and different for Sapporo (<inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.8 DU). Most of the
ozonesonde measurements are performed in the early afternoon. The ozone
build-up is then maximal in polluted urban or suburban sites like Beijing,
Hong Kong, and Tateno. IASI observations are performed in the morning, about
5 h earlier on average. The time difference between IASI and ozonesonde
observations in polluted suburban sites may partly explain the larger bias in
this case. Indeed, the bias for the Sapporo region, where the diurnal cycle
of ozone is limited, is reduced. However, the small number of coincidences
does not allow any firm conclusion to be reached on the origin of the
observed bias over east Asia.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><caption><p>Ozonesonde stations used for the validation. “<inline-formula><mml:math display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> days” represents
the number of measurements matching the coincidence criteria.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="8">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right" colsep="1"/>
     <oasis:colspec colnum="5" colname="col5" align="left"/>
     <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">Station</oasis:entry>  
         <oasis:entry namest="col2" nameend="col3" align="center">Location </oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> days</oasis:entry>  
         <oasis:entry colname="col5">Station</oasis:entry>  
         <oasis:entry namest="col6" nameend="col7" align="center">Location </oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> days</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">Ankara</oasis:entry>  
         <oasis:entry colname="col2">39.97<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col3">32.86<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E</oasis:entry>  
         <oasis:entry colname="col4">50</oasis:entry>  
         <oasis:entry colname="col5">Tateno</oasis:entry>  
         <oasis:entry colname="col6">36.10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col7">140.10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E</oasis:entry>  
         <oasis:entry colname="col8">4</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Aquila</oasis:entry>  
         <oasis:entry colname="col2">42.38<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col3">13.31<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E</oasis:entry>  
         <oasis:entry colname="col4">11</oasis:entry>  
         <oasis:entry colname="col5">Uccle</oasis:entry>  
         <oasis:entry colname="col6">50.80<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col7">4.35<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E</oasis:entry>  
         <oasis:entry colname="col8">390</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Barajas</oasis:entry>  
         <oasis:entry colname="col2">40.47<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col3">3.58<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W</oasis:entry>  
         <oasis:entry colname="col4">139</oasis:entry>  
         <oasis:entry colname="col5">Ushuaia</oasis:entry>  
         <oasis:entry colname="col6">54.85<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S</oasis:entry>  
         <oasis:entry colname="col7">68.31<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W</oasis:entry>  
         <oasis:entry colname="col8">2</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Beijing</oasis:entry>  
         <oasis:entry colname="col2">39.54<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col3">117.12<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E</oasis:entry>  
         <oasis:entry colname="col4">7</oasis:entry>  
         <oasis:entry colname="col5">Valentia</oasis:entry>  
         <oasis:entry colname="col6">51.93<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col7">10.25<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W</oasis:entry>  
         <oasis:entry colname="col8">33</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Bratts Lake</oasis:entry>  
         <oasis:entry colname="col2">50.20<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col3">104.70<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W</oasis:entry>  
         <oasis:entry colname="col4">56</oasis:entry>  
         <oasis:entry colname="col5">Wallops Island</oasis:entry>  
         <oasis:entry colname="col6">37.90<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col7">75.70<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W</oasis:entry>  
         <oasis:entry colname="col8">15</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Broadmeadows</oasis:entry>  
         <oasis:entry colname="col2">37.69<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S</oasis:entry>  
         <oasis:entry colname="col3">144.94<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E</oasis:entry>  
         <oasis:entry colname="col4">19</oasis:entry>  
         <oasis:entry colname="col5"/>  
         <oasis:entry colname="col6"/>  
         <oasis:entry colname="col7"/>  
         <oasis:entry colname="col8"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Churchill</oasis:entry>  
         <oasis:entry colname="col2">58.74<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col3">94.07<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W</oasis:entry>  
         <oasis:entry colname="col4">46</oasis:entry>  
         <oasis:entry colname="col5">Hanoi</oasis:entry>  
         <oasis:entry colname="col6">21.02<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col7">105.80<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E</oasis:entry>  
         <oasis:entry colname="col8">16</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">De Bilt</oasis:entry>  
         <oasis:entry colname="col2">52.10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col3">5.18<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E</oasis:entry>  
         <oasis:entry colname="col4">104</oasis:entry>  
         <oasis:entry colname="col5">Hilo</oasis:entry>  
         <oasis:entry colname="col6">19.43<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col7">155.04<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W</oasis:entry>  
         <oasis:entry colname="col8">62</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Edmonton</oasis:entry>  
         <oasis:entry colname="col2">53.55<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col3">114.11<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W</oasis:entry>  
         <oasis:entry colname="col4">2</oasis:entry>  
         <oasis:entry colname="col5">Hong Kong</oasis:entry>  
         <oasis:entry colname="col6">22.31<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col7">114.17<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E</oasis:entry>  
         <oasis:entry colname="col8">93</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Egbert</oasis:entry>  
         <oasis:entry colname="col2">44.23<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col3">79.78<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W</oasis:entry>  
         <oasis:entry colname="col4">57</oasis:entry>  
         <oasis:entry colname="col5">Irene</oasis:entry>  
         <oasis:entry colname="col6">25.90<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S</oasis:entry>  
         <oasis:entry colname="col7">28.22<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E</oasis:entry>  
         <oasis:entry colname="col8">4</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Goose Bay</oasis:entry>  
         <oasis:entry colname="col2">53.31<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col3">60.36<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W</oasis:entry>  
         <oasis:entry colname="col4">98</oasis:entry>  
         <oasis:entry colname="col5">Java</oasis:entry>  
         <oasis:entry colname="col6">7.50<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S</oasis:entry>  
         <oasis:entry colname="col7">112.60<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E</oasis:entry>  
         <oasis:entry colname="col8">6</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Hohenpeissenberg</oasis:entry>  
         <oasis:entry colname="col2">47.80<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col3">11.00<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W</oasis:entry>  
         <oasis:entry colname="col4">319</oasis:entry>  
         <oasis:entry colname="col5">Kuala Lumpur</oasis:entry>  
         <oasis:entry colname="col6">2.73<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col7">101.70<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E</oasis:entry>  
         <oasis:entry colname="col8">5</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Huntsville</oasis:entry>  
         <oasis:entry colname="col2">34.72<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col3">86.64<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W</oasis:entry>  
         <oasis:entry colname="col4">9</oasis:entry>  
         <oasis:entry colname="col5">Nairobi</oasis:entry>  
         <oasis:entry colname="col6">1.27<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S</oasis:entry>  
         <oasis:entry colname="col7">36.80<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E</oasis:entry>  
         <oasis:entry colname="col8">78</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Kelowna</oasis:entry>  
         <oasis:entry colname="col2">49.93<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col3">119.40<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W</oasis:entry>  
         <oasis:entry colname="col4">124</oasis:entry>  
         <oasis:entry colname="col5">Naha</oasis:entry>  
         <oasis:entry colname="col6">26.20<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col7">127.70<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E</oasis:entry>  
         <oasis:entry colname="col8">0</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Lauder</oasis:entry>  
         <oasis:entry colname="col2">45.04<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S</oasis:entry>  
         <oasis:entry colname="col3">169.68<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E</oasis:entry>  
         <oasis:entry colname="col4">5</oasis:entry>  
         <oasis:entry colname="col5">Natal</oasis:entry>  
         <oasis:entry colname="col6">5.49<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S</oasis:entry>  
         <oasis:entry colname="col7">35.80<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W</oasis:entry>  
         <oasis:entry colname="col8">64</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Legionowo</oasis:entry>  
         <oasis:entry colname="col2">52.40<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col3">20.97<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E</oasis:entry>  
         <oasis:entry colname="col4">133</oasis:entry>  
         <oasis:entry colname="col5">Pago Pago</oasis:entry>  
         <oasis:entry colname="col6">14.23<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S</oasis:entry>  
         <oasis:entry colname="col7">170.56<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W</oasis:entry>  
         <oasis:entry colname="col8">13</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Lindenberg</oasis:entry>  
         <oasis:entry colname="col2">52.21<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col3">14.12<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E</oasis:entry>  
         <oasis:entry colname="col4">148</oasis:entry>  
         <oasis:entry colname="col5">Panama</oasis:entry>  
         <oasis:entry colname="col6">7.75<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col7">80.25<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W</oasis:entry>  
         <oasis:entry colname="col8">2</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Macquarie Island</oasis:entry>  
         <oasis:entry colname="col2">54.50<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S</oasis:entry>  
         <oasis:entry colname="col3">158.94<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E</oasis:entry>  
         <oasis:entry colname="col4">1</oasis:entry>  
         <oasis:entry colname="col5">Reunion</oasis:entry>  
         <oasis:entry colname="col6">21.06<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S</oasis:entry>  
         <oasis:entry colname="col7">55.48<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E</oasis:entry>  
         <oasis:entry colname="col8">87</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Payerne</oasis:entry>  
         <oasis:entry colname="col2">46.49<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col3">6.57<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E</oasis:entry>  
         <oasis:entry colname="col4">389</oasis:entry>  
         <oasis:entry colname="col5">Samoa</oasis:entry>  
         <oasis:entry colname="col6">14.23<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S</oasis:entry>  
         <oasis:entry colname="col7">170.56<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W</oasis:entry>  
         <oasis:entry colname="col8">3</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Prague</oasis:entry>  
         <oasis:entry colname="col2">50.01<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col3">14.45<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E</oasis:entry>  
         <oasis:entry colname="col4">143</oasis:entry>  
         <oasis:entry colname="col5">San Cristóbal</oasis:entry>  
         <oasis:entry colname="col6">0.92<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S</oasis:entry>  
         <oasis:entry colname="col7">89.60<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W</oasis:entry>  
         <oasis:entry colname="col8">24</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Sapporo</oasis:entry>  
         <oasis:entry colname="col2">43.10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col3">141.30<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E</oasis:entry>  
         <oasis:entry colname="col4">12</oasis:entry>  
         <oasis:entry colname="col5">Santa Cruz</oasis:entry>  
         <oasis:entry colname="col6">28.46<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col7">16.26<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W</oasis:entry>  
         <oasis:entry colname="col8">2</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Stony Plain</oasis:entry>  
         <oasis:entry colname="col2">53.55<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col3">114.11<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W</oasis:entry>  
         <oasis:entry colname="col4">57</oasis:entry>  
         <oasis:entry colname="col5">Watukosek</oasis:entry>  
         <oasis:entry colname="col6">7.50<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S</oasis:entry>  
         <oasis:entry colname="col7">112.60<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E</oasis:entry>  
         <oasis:entry colname="col8">16</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

</sec>
<sec id="Ch1.S4">
  <?xmltex \opttitle{Case study of 4--6 May 2008: the use of IASI O${}_{{3}}$ and CO to
diagnose the processes influencing the ozone distribution affected by
weather systems}?><title>Case study of 4–6 May 2008: the use of IASI O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> and CO to
diagnose the processes influencing the ozone distribution affected by
weather systems</title>
      <p>An episode of high ozone is observed in the lower troposphere with IASI in
northeast Asia from 4 to 6 May 2008. This episode is associated with a
low-pressure system travelling from Mongolia through north China to the
extreme north of Japan. In this section, we investigate how to use the ozone
partial columns and profiles and the CO total columns from IASI to diagnose
which processes contribute to the ozone enhancement.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2"><caption><p>Validation results for the lower-tropospheric ozone columns. The
bias (IASI<inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>sonde), the rms and the correlation coefficient are provided for
all stations listed. The bias and the rms are given in DU, with the
percentage in parenthesis.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="4">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Station</oasis:entry>  
         <oasis:entry colname="col2">Bias</oasis:entry>  
         <oasis:entry colname="col3">rms</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mi>R</mml:mi></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">All stations</oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.6 (2.8)</oasis:entry>  
         <oasis:entry colname="col3">2.8 (13.7)</oasis:entry>  
         <oasis:entry colname="col4">0.70</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">East Asia</oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2.2 (<inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>9.5)</oasis:entry>  
         <oasis:entry colname="col3">2.7 (11.6)</oasis:entry>  
         <oasis:entry colname="col4">0.70</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Beijing</oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2.6 (<inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>9.0)</oasis:entry>  
         <oasis:entry colname="col3">2.6 (9.0)</oasis:entry>  
         <oasis:entry colname="col4">0.71</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Sapporo</oasis:entry>  
         <oasis:entry colname="col2">0.8 (3.9)</oasis:entry>  
         <oasis:entry colname="col3">3.9 (19.8)</oasis:entry>  
         <oasis:entry colname="col4">0.68</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Tateno</oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2.6 (<inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>12.1)</oasis:entry>  
         <oasis:entry colname="col3">2.3 (10.8)</oasis:entry>  
         <oasis:entry colname="col4">0.60</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Hong Kong</oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2.6 (<inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>10.9)</oasis:entry>  
         <oasis:entry colname="col3">2.2 (9.6)</oasis:entry>  
         <oasis:entry colname="col4">0.67</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

<sec id="Ch1.S4.SS1">
  <title>Low-pressure system and associated IASI ozone distribution</title>
      <p>Figure 1 describes the meteorological situation of this episode of high
ozone. A large cold front extending from Mongolia to southern China on 4 May
2008, from north China to the southern Japanese islands on 5 May 2008, and
moving eastward from Japan on 6 May 2008 characterizes the low-pressure
system (Fig. 1a–c). The regions behind the frontal area and north of the
polar jet, situated between 35 and 40<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N on these dates
(Fig. 1d–f), are strongly influenced by polar air masses with tropopause
heights below 9 km (Fig. 1g–i). The 300–500 hPa mean PV values are larger
than 1.6 PVU for the same regions, indicating that the upper troposphere is
under the influence of lower-stratospheric air masses (Fig. 2j–l). The
spatial correlation of low tropopauses and large PV values indicates that
reversible subsiding ozone transfer affects the upper troposphere in this
case. We then expect an ozone enhancement in the upper troposphere for these
regions, and we will see in the following how IASI describes this ozone
enhancement induced by ozone subsidence. The analysis of the
upper-tropospheric columns shows that IASI observes columns larger than
40 DU in the regions affected by low tropopauses and large PV (Fig. 2g–i).
A step gradient between 30 and 40 DU is observed in the upper-tropospheric
ozone distribution reflecting the step gradient in the PV distribution. The
very good spatial correlation of the high-UT ozone structures with those of
high PV leads us to consider that the upper-tropospheric columns of ozone
retrieved from IASI can be used as a proxy to determine the regions affected
by subsiding ozone from the lower stratosphere. The threshold of 40 DU seems
to be relevant to this identification.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><caption><p>Meteorological situation given at <bold>(a–c)</bold> 850 hPa and
<bold>(d–f)</bold> 300 hPa from 4 to 6 May 2008 as well as <bold>(g–i)</bold> the
dynamical tropopause. All the meteorological variables are derived from the
ERA-Interim reanalysis. The coloured areas in <bold>(a–f)</bold> represent the
equivalent potential temperature and the white contours the geopotential
height. The “L” and “H” symbols represent the centre of lows and highs
respectively. Horizontal winds are also plotted. The cold and warm fronts are
displayed in blue and red respectively on the top panel.</p></caption>
          <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://acp.copernicus.org/articles/15/10839/2015/acp-15-10839-2015-f01.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><caption><p>Panels <bold>(a–c)</bold>: lower-tropospheric ozone columns (surface to
6 km a.s.l.) retrieved from IASI from 4 to 6 May 2008; panels
<bold>(d–f)</bold>: total CO columns retrieved from IASI; panels
<bold>(g–i)</bold>: upper-tropospheric ozone columns (6 to 12 km a.s.l.)
retrieved from IASI; panels <bold>(j–l)</bold>: potential vorticity (PV) from
ERA5 Interim reanalysis averaged between 300 and 500 hPa.</p></caption>
          <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://acp.copernicus.org/articles/15/10839/2015/acp-15-10839-2015-f02.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><caption><p>Vertical section of ozone concentration (in
molecule cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) retrieved
from IASI along specific longitudes – 128<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E on 5 May 2008
<bold>(a)</bold>, 142.5<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E on 6 May 2008 <bold>(b)</bold> – and along
specific latitudes – 39<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N on 5 May 2008 <bold>(c)</bold> and 6 May
2008 <bold>(d)</bold>. The longitudinal (latitudinal) sections are computed over
1<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> around the specific longitude (latitude) with a 0.25<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>
resolution in latitude (longitude).</p></caption>
          <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://acp.copernicus.org/articles/15/10839/2015/acp-15-10839-2015-f03.png"/>

        </fig>

      <p>The question now is to determine to what extent IASI is able to provide
information about the low-pressure system's influence on the
lower-tropospheric ozone distribution. The physical processes, which may
affect the lower-tropospheric ozone distribution, are (i) the reversible
ozone subsidence associated with low-tropopause heights, which induces an
enhancement of ozone in the upper and free troposphere and then partly in the
lower troposphere; (ii) irreversible stratosphere–troposphere exchanges,
which also lead to ozone enhancement. The first process is expected to affect
ozone distribution on a synoptic scale, whereas the second process is more
localized. Figure 2a–c show that lower-tropospheric ozone columns larger
than 28 DU are observed with IASI in the vicinity of the low with similar
spatial patterns to the UT columns and the PV distribution. The observed
enhancement in the lower-tropospheric column (surface 6 km) arises from (1)
the actual (reversible) transfer of ozone to the free troposphere, (2) the
definition of the LT columns by itself, (3) the limited vertical resolution
of the retrieval and the associated smoothing of the vertical profile.
Indeed, the LT columns are defined as the columns from the surface up to
6 km. Consequently, when the tropopause is low (below 9 km), the LT column
arithmetically includes layers with upper-tropospheric characteristics.
Moreover, due to the limited vertical resolution of the retrieval and the
associated smoothing of the vertical profile, the lower-tropospheric column
is partly contaminated by ozone from outside
the column altitude boundaries, as discussed in Sect. 2.2. This may
contribute to an overestimation of the lower-tropospheric column. However, it
is difficult to estimate this overestimation in our case because no
ozonesonde observations were available along the path of the low.</p>
      <p>We show with this case study that having the IASI UT and LT ozone columns
allows us to determine those regions affected by the subsiding transfer of
ozone occurring behind the frontal area and whether the lower troposphere is
affected. We will now examine if and how IASI can be used to characterize
irreversible STEs. The analysis of the PV distribution at different pressure
levels allows the identification of the region in the vicinity of the low
where STE occurs. In the case study from 4 to 6 May 2008, we identify two
regions with high PV values down to 600 or 500 hPa in the path of the low
(not shown): one on the east coast of Korea on 5 May (<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 39<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N,
128<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) and one offshore to the northeast of Tokyo
(<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 39<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 142.5<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E). The STE is situated on the
southeast flank of the low-pressure system, behind and in the southern part
of the cold front in the two cases. Figure 3 displays the longitudinal and
latitudinal vertical section of ozone at 128<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E and 39<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N
for 5 May (top) and at 142.5<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E and 39<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N for 6 May
(bottom). On 5 May, strong stratospheric intrusion of ozone is observed
between 38 and 39<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N and between 125 and 130<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E. The
vertical section at 128<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E shows that the free and lower troposphere
are still connected to the polar UTLS reservoir that day. On 6 May, a
stratospheric intrusion is observed between 36 and 38<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N and between
140 and 143<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E. The vertical section along 142<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E shows
that the enhanced ozone in the lower troposphere (below 7 km) is partly
disconnected from the polar UTLS reservoir. Backtrajectories performed with
the HYSPLIT (Hybrid Single Particle Lagrangian Integrated Trajectory) model
(Draxler and Rolph, 2015; Rolph, 2015) show that the 3 km altitude air masses located in this area
originate at altitudes between 5 and 7 km the day before in north China
and Inner Mongolia (Fig. S1 in the Supplement). The tropopause height was around 7–8 km on 5 May 2008 for
these regions (Fig. 1h). This means that the air masses reaching the area
northeast of Tokyo at 3 km on 6 May have a UTLS origin and transport
ozone-rich air into the lower troposphere. Thus, we show that the downward
transport from the UTLS affects ozone concentrations in the lower troposphere
for specific regions on the southeastern flank of the weather system, whereas
the perturbation of the tropopause associated with this system influences
upper- and lower-tropospheric ozone over larger areas in the vicinity of the
low.</p>
</sec>
<sec id="Ch1.S4.SS2">
  <title>Influence of the high-pressure system on tropospheric ozone distribution over
the North China Plain (NCP)</title>
      <p>On 5 May 2008, an anticyclone forms over central east China and the North
China Plain. The northwesterly winds reaching the NCP change progressively to
southwesterly winds from 4 to 6 May with low winds and then a stagnant
situation on 5 May (Fig. 1a–c). This, associated with low cloud coverage and
increasing radiation, is a situation favourable to the accumulation of
primary pollutants over the NCP and to the photochemical production of ozone
due to both local emissions and the regional transport of pollutants. The
question here is how IASI is able to describe this situation. The CO columns
observed with IASI show enhanced values over the NCP on 5 and 6 May (Fig. 2e
and f). Considering CO as a pollution tracer, enhanced IASI CO columns can be
used to evaluate the build-up of pollutants. Concomitantly,
lower-tropospheric ozone columns as large as 30 DU are observed (Fig. 2b and
c). A significant spatial correlation (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 0.6) is calculated between CO
and lower-tropospheric ozone columns for a square region including the NCP
(35–41<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 114–122<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) on 5 May. In addition, the
upper-tropospheric ozone column does not show enhanced values over the NCP
for these 2 days (Fig. 2h and i). The analysis of the vertical section of
ozone distribution on 5 May shows that the large ozone concentrations in the
Beijing region (Fig. 3, <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 39<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N and <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 116<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E)
and across the NCP are retrieved below 6 km and are disconnected from the
UTLS region. The maximal values of ozone are retrieved between 2 and 3 km
over Beijing (Fig. 3) in agreement, considering the vertical sensitivity and
resolution of IASI, with in situ measurements, which frequently report high
ozone concentrations at an altitude of 1.5–2 km above Beijing during
April–May (Huang et al., 2015). This associated with the correlation with CO
suggests that the enhanced ozone observed with IASI is mainly due to the
photochemical transformation of primary pollutants emitted over the NCP. To
evaluate the degree of the photochemical production of ozone, we calculate
the equivalent or mean mixing ratio corresponding to the CO and LT O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
columns. This allows us to estimate a relative enhancement ratio of O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
to CO of 0.14 and 0.08 on 5 and 6 May respectively. These values are in
agreement with the typical values ranging between 0 and 0.3 reported over
east Asia by Tanimoto et al. (2008). The estimated enhancement ratio
remains quite low, suggesting an early stage of ozone production.</p>
</sec>
</sec>
<sec id="Ch1.S5">
  <title>Case study of 11–16 May 2008: combined contributions of anthropogenic and
stratospheric sources over the NCP and pollution transport</title>
      <p>A second episode of high ozone is observed in the lower troposphere over the
North China Plain (NCP) from 11 to 16 May 2008. This episode is associated
with a cut-off low-pressure system forming on 11 May over Inner Mongolia and
moving east on subsequent days. From 14 May, the meteorological regime
changes over the NCP with warmer air masses settling within an anticyclonic
situation. In this section, we examine the influence of the meteorological
situation on the distribution of lower- and upper-tropospheric ozone with a
particular focus on the NCP. Figure 4 describes the meteorological situation
for the entire period. Figures 5 and 6 display the lower- and
upper-tropospheric ozone columns and the total CO columns observed with IASI.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><caption><p>Meteorological situation given at 850 hPa from 11 to 16 May 2008.
The coloured areas represent the equivalent potential temperature and the
white contours the geopotential height. The “L” and “H” symbols represent
the centre of lows and highs respectively. Horizontal winds are also
plotted.</p></caption>
        <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://acp.copernicus.org/articles/15/10839/2015/acp-15-10839-2015-f04.png"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><caption><p>Panels <bold>(a–c)</bold>: lower-tropospheric ozone columns (surface to
6 km a.s.l) retrieved from IASI from 11 to 13 May 2008. Panels
<bold>(d–f)</bold>: total CO columns retrieved from IASI. Panels
<bold>(g–i)</bold>: upper-tropospheric ozone columns (6 to 12 km a.s.l.)
retrieved from IASI.</p></caption>
        <?xmltex \igopts{width=483.69685pt}?><graphic xlink:href="https://acp.copernicus.org/articles/15/10839/2015/acp-15-10839-2015-f05.png"/>

      </fig>

<sec id="Ch1.S5.SS1">
  <title>11–13 May: the NCP under the direct influence of the cut-off low</title>
      <p>On 11 May 2008, a cut-off low forms over Inner Mongolia (Fig. 4a). The
cut-off low is not yet completely dissociated from the polar reservoir. A
band of upper-tropospheric columns larger than 40 DU is observed by IASI
between 35 and 45<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N (Fig. 5g). As seen in Sect. 4, it indicates
that the region is under the influence of subsiding ozone. The
lower-tropospheric ozone columns do not show a clear enhancement for the same
latitude band. On that day, subsiding ozone affects the lower-tropospheric
ozone only moderately.</p>
      <p>On 12 May 2008, the cut-off low is well dissociated from the western current
and its centre reaches the Bohai Sea (Fig. 4b). Upper-tropospheric ozone
columns larger than 45 DU are retrieved all around the cut-off low.
Lower-tropospheric ozone columns larger than 32 DU are observed especially
in the southwestern part of the low, just above the NCP (Fig. 5b). The
analysis of the vertical section of ozone at 117<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E (Fig. 7a) shows
that the subsiding transfer of ozone due to the tropopause perturbation
strongly affects lower-tropospheric ozone north of 33<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N. At
32<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, the ozone enhancement observed in the lower troposphere is
not connected to the UTLS reservoir, suggesting a possible photochemical
origin for this enhancement. IASI CO columns are also enhanced in the NCP
region and partly correlated with the enhanced ozone columns (Fig. 5e). This
indicates that pollution likely plays a concomitant role in the ozone
enhancement in that case.</p>
      <p>On 13 May 2008, the centre of the cut-off low moves slightly to the east and
reaches the Yellow Sea (Fig. 4c). As for the previous day, large upper- and
lower-tropospheric ozone columns are observed with IASI in the vicinity of
the low (Fig. 5c and i). The two columns are slightly smaller than the day
before over the NCP. The analysis of the vertical section of ozone at
115<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E (Fig. 7b) shows that the subsiding transfer of ozone due to
the tropopause perturbation is less effective than the previous day. Even if
the lower-tropospheric ozone remains partly connected to the UTLS reservoir
north of 33<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, secondary maxima are observed at <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 4 km of
altitude, suggesting that an additional source of ozone may contribute to the
LT ozone enhancement. South of 33<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N the ozone enhancement is
clearly located in the lower troposphere. The good spatial correlation of LT
ozone enhancement and the strong CO enhancement observed all over the NCP
(Fig. 5f) confirms that pollution plays a concomitant role in explaining the
ozone distribution in the lower troposphere over the NCP for this day.</p>
</sec>
<sec id="Ch1.S5.SS2">
  <title>14 May: transition from a cyclonic to an anticyclonic situation</title>
      <p>On 14 May 2008, the cut-off low shifts to the Sea of Japan (Fig. 4d). A large
area including north China, Korea, and reaching Japan shows
upper-tropospheric columns larger than 40 DU (Fig. 6g), which indicates the
region is under the influence of subsiding ozone. Within this area, the
largest LT ozone columns are observed in an area less extended and situated
on the southeastern flank of the low, mainly over the Sea of Japan (Fig. 6a).
The lower troposphere is then certainly under the influence of the
UTLS.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><caption><p>Same as Fig. 5 but for 14 to 16 May
2008.</p></caption>
          <?xmltex \igopts{width=483.69685pt}?><graphic xlink:href="https://acp.copernicus.org/articles/15/10839/2015/acp-15-10839-2015-f06.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><caption><p>Vertical section of ozone concentration (in molecule cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)
retrieved from IASI along specific longitudes – <bold>(a)</bold> 117<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E on 12
May 2008, <bold>(b)</bold> 115<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E on 13 May 2008 – and along specific
latitudes – <bold>(c)</bold> 35<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N on 14 May 2008, <bold>(d)</bold> 37<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N
on 15 May 2008. The longitudinal (latitudinal) sections are computed over
1<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> around the specific longitude (latitude) with a 0.25<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>
resolution in latitude (longitude).</p></caption>
          <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://acp.copernicus.org/articles/15/10839/2015/acp-15-10839-2015-f07.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><caption><p>Convective available potential energy <bold>(a)</bold> and vertical velocity at
700 hPa <bold>(b)</bold> from ERA-Interim reanalysis.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/15/10839/2015/acp-15-10839-2015-f08.png"/>

        </fig>

      <p>Over China, an anticyclonic situation starts to develop south of the NCP
inducing a change in the wind regime and warmer conditions from 14 May
(Fig. 4d). Enhanced CO columns and lower-tropospheric ozone columns are
retrieved with IASI over the NCP (Fig. 6a and d) with moderate UT ozone
columns. The analysis of the vertical section of ozone concentrations at
35<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N shows that very large ozone concentrations are retrieved for
the entire free and upper troposphere in the eastern part of the section
(Fig. 7c). This corresponds to the region over the Sea of Japan under the
direct influence of the cut-off low and then greatly influenced by the UTLS.
The situation is different over the NCP: ozone concentrations in the upper
troposphere are moderate and a distinct maximum in the lower troposphere is
clearly visible. This, associated with CO enhancement over the NCP in good
spatial correlation with LT ozone, indicates that the ozone enhancement
observed with IASI over the NCP is of anthropogenic origin and related to the
photochemical production of ozone. On that day, the estimated enhancement
ratio of O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> to CO is 0.11, in agreement with the enhancement ratio
calculated for the previous case study.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9" specific-use="star"><caption><p>Monthly lower (upper left) and upper (upper right) tropospheric
ozone columns observed by IASI in May 2008 as well as monthly IASI total CO
columns (lower left) and GOME-2 NO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> tropospheric columns (lower right)
observed in May 2008. The average is calculated for a 0.25<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 0.25<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> resolution grid.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/15/10839/2015/acp-15-10839-2015-f09.png"/>

        </fig>

</sec>
<sec id="Ch1.S5.SS3">
  <title>15–16 May: the NCP under anticyclonic influence</title>
      <p>On 15 and 16 May 2008, strong enhancements of CO and lower-tropospheric ozone
are observed with IASI over the entire NCP (Fig. 6b–c and e–f). Both CO and
O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> increase compared to the previous day. The anticyclone is firmly
settled over China, leading to a stagnant situation with low winds all over
the NCP (Fig. 4e). This situation is favourable to the accumulation of
pollutant and then to the photochemical production of ozone. Figure 7d shows
the vertical section of ozone concentrations retrieved with IASI at
37<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N. The ozone enhancement is located below 4 km, especially
between 115 and 116<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, in agreement with the findings of Sect. 4.2.
This, with CO enhancement, indicates that the ozone enhancement is due to
photochemical production from pollutants emitted in the NCP. In this case of
stronger CO enhancement, the enhancement ratio of O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> to CO (0.09 on
15 May and 0.06 on 16 May) decreases compared to the previous days.</p>
</sec>
<sec id="Ch1.S5.SS4">
  <title>Evidence of transboundary transport within the cut-off low</title>
      <p>On 13 and 14 May, large CO and O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> columns are retrieved from IASI over
the Yellow Sea and over the Sea of Japan on the southern flank of the cut-off
low-pressure system (Figs. 5c and 6a). Fairly strong westerly winds are
present at 850 hPa in the same region, suggesting a possible advection of
air masses from the NCP towards Japan associated with the weather system
(Fig. 4c and d). In order to assess whether the weather system may have
contributed to transporting the pollutants (O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> and CO), we perform
backtrajectories on 13 May for an area south of Korea (Fig. S2). The 3 km
air masses originate from the boundary layer over the NCP on 11 May. They are
uplifted and transported at an altitude of between 3 and 4 km on subsequent
days (Fig. S2). In order to investigate whether the pollutant uplifting on 11
May occurs over a region more extended than those shown in Fig. S2, we
examined two meteorological variables that indicate a possible ascending
motion of air masses: the convective available potential energy (CAPE) and
the vertical velocity. Figure 8 shows that CAPE is significant on the inside
eastern flank of the cut-off low and that negative vertical velocities, i.e.,
ascending winds, are present from the surface up to 300 hPa
(Fig. 8 shows only the vertical velocity at 700 hPa as an example). In
addition, backtrajectories performed on 11 May indicate that most of the air
masses between 38–40<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N and 116–117<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E at 3 km originate
from the atmospheric layers below 1 km and circulate over the NCP during the
previous 24 h (Fig. S3). This shows that pollutants (CO and O<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> have
been uplifted from the boundary layer into the free troposphere over the NCP
and then exported towards Japan by the cut-off low. This transport pathway is
relatively well known. Very recently, Ding et al. (2015) studied the
uplifting and transport of CO in east Asia in detail. They show that the
vertical transport of anthropogenic CO originating from the NCP is mainly
carried out by frontal lifting, which can be, but is not necessarily,
associated with WCB. They also pointed out the
topography's additional role in the CO lifting over the NCP.</p>
      <p>To complete the study, we calculate the enhancement ratio of O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> to CO
over the NCP on 12 May, over the Yellow Sea and Korea (32–36<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N,
122–130<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) on 13 May, and over the Sea of Japan
(30–38<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 128–140<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) on 14 May. The ratios are
respectively 0.16, 0.21 and 0.28. The increase in the ratio indicates
possible photochemical processing during transport. Part of the large amount
of lower-tropospheric ozone is then due to the transport of ozone produced
over the NCP but also to ozone produced during the transport.</p>
</sec>
</sec>
<sec id="Ch1.S6">
  <title>Role of weather systems and photochemical production on the monthly
timescale</title>
      <p>The succession of low- and high-pressure systems plays a key role in
explaining the day-to-day variations in lower-tropospheric ozone over
northeast Asia. In May 2008, 5 events covering 2–3 days each and leading to
significant ozone enhancement in the lower troposphere have been identified.
In order to evaluate the regions of influence of the frontal and cyclonic
activity on the ozone distribution, we calculated monthly means of lower- and
upper-tropospheric ozone columns (Fig. 9). The monthly means are given with a
0.25<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 0.25<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> horizontal resolution. The
upper-tropospheric ozone columns are the most affected by the ozone subsiding
transfer induced by the tropopause perturbations associated with frontal
activity. Looking at UT ozone columns larger than 40 DU provides a view of
the region of influence of the frontal and cyclonic activity in terms of
ozone enhancement. This region is located north of 40<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N and extends
from Inner Mongolia to north China and the north of Japan. South of
40<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, the influence of the frontal and cyclonic activity on
lower-tropospheric ozone decreases.</p>
      <p>In order to investigate the role of pollution in enhanced lower-tropospheric
ozone columns observed with IASI, we compare monthly distribution of
lower-tropospheric ozone columns with the distribution of total CO columns
and tropospheric NO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> columns, often used as anthropogenic source tracers
(Fig. 9). The NO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> tropospheric columns are those observed by the GOME-2
instrument operating on the same satellite platform as the IASI instrument
(Boersma et al., 2004) (<uri>http://www.temis.nl/airpollution/no2.html</uri>). All
the regions of continental east Asia (NCP, Sichuan Basin, north China,
etc.) showing large NO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> tropospheric columns and indicating large
anthropogenic sources present large total CO columns and also large
lower-tropospheric ozone columns (Fig. 9). A correlation of 0.62 over the
entire domain between IASI lower-tropospheric ozone and IASI total CO
suggests that anthropogenic sources significantly contribute to the ozone
observed in the lower troposphere with IASI. The North China Plain, Yangtze
River delta (near Shanghai) and Hubei province (Wuhan region) are the regions
most impacted by pollution according to the satellite observations. Large
lower-tropospheric ozone columns are observed over north China,
corresponding to the industrialized Shenyang–Harbin axis also visible in CO
and NO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> observations (Fig. 9). However, the ozone plume extends more to
the west compared to the CO and NO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> plumes. This may be explained by the
influence of the UTLS, which is larger all over the northern part of the
domain. Lower-tropospheric columns of ozone might also be overestimated
during the retrieval because the region is partly arid. Indeed, the ozone
retrieval can be partly impacted in regions of low emissivity. In the
southern part of the domain, enhanced lower-tropospheric ozone columns are
observed in the Sichuan Basin and Guangdong province at the same time as
enhanced CO and NO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> columns. In the latter region, closer to the
equator, the distance between two successive swaths of IASI increases. Then,
the spatial and temporal coverage of IASI decreases and it is less easy to
follow the daily variations in ozone. Moreover, the maximum of sensitivity of
IASI ozone retrievals in the tropics is usually higher in altitude (around
5 km; Dufour et al., 2012). IASI observations are then less suitable to
efficiently monitor pollution in such cases.</p>
</sec>
<sec id="Ch1.S7" sec-type="conclusions">
  <title>Conclusion</title>
      <p>Based on ozone and CO retrieval from IASI, we develop an analysis method to
diagnose which processes contribute to ozone enhancement in the lower
troposphere. We demonstrate that ozone profiles and semi-independent ozone
columns between the surface and 12 km associated with simultaneous CO
measurements from IASI provide a powerful observational data set to identify
the stratospheric and anthropogenic origin of the lower-tropospheric ozone.</p>
      <p>We show that UT ozone columns larger than 40 DU are a proxy to identify the
region of subsiding ozone associated with the tropopause perturbation induced
by low-pressure weather systems. Combined with LT ozone columns larger than
<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 30 DU, the UT ozone columns identify the areas in the lower troposphere affected by the UTLS reservoir
of ozone. We show that the ozone subsiding transfer due to the tropopause
perturbations associated with the low-pressure systems affect the free- and
lower-tropospheric ozone over large regions. We determine the region of
influence of such systems, located mainly above 40<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, but with some
particularly intense events (e.g. cut-off low from 11 to 13 May 2008)
impacting southern regions such as the NCP for a few days. The vertical
dimension provided by IASI allows the identification of the STE areas, which
are located in the southern part behind the cold front in the case of the
frontal system and on the southern or southeastern flanks of the low in the
case of a cut-off low. Note that the STEs are expected to occur
preferentially on the western and southern flanks of the trough.</p>
      <p>Based on the case of a cut-off low travelling over the NCP from 11 to 14 May
2008, we show that such systems, with potential convective capacity,play a
key role in the transboundary transport of pollutants when they travel over
highly polluted regions. We identify from the O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> CO enhancement
ratio estimated from IASI observations that significant ozone photochemical
production occurs during the transport from the NCP on 12 May to the Sea of
Japan on 14 May.</p>
      <p>By contrast, we show that large LT ozone columns when not associated with
large UT ozone columns but with enhanced CO total columns – used as a
pollution tracer – indicate the areas where the photochemical production of
ozone forms part of the observed ozone enhancement in the lower troposphere.
Most of the enhanced lower-tropospheric ozone columns are observed in regions
mainly impacted by strong pollution levels. Significant correlations between
CO (used as a pollution tracer) and ozone in the lower troposphere as well as
an enhancement ratio of O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> to CO have been found, consistent with those
from literature. Moreover, the analysis of vertical sections of ozone
concentrations over the NCP indicates that ozone concentrations are enhanced
only in the lower troposphere in such regions, indicating the anthropogenic
origin of the observed ozone enhancements. The maximal values of ozone are
observed between 2 and 4 km in cases where an anticyclonic situation is well
settled over the NCP (e.g. 5 and 15 May 2008). This is in agreement with in
situ measurements (Huang et al., 2015), considering the limited vertical
resolution of IASI and its limited sensitivity to surface ozone. Because of
these limitations, it is not possible to determine more precisely the
altitude of the ozone enhancements in the troposphere. This is all the more
difficult when stratospheric and photochemical events occur at the same
time. The lack of vertical resolution does not allow the various
contributions to be differentiated. Combined with modelling studies, advanced
satellite products coupling UV and IR information such as the recent
IASI<inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>GOME-2 product (Cuesta et al., 2013) as well as the next generation of
satellite instruments (Crevoisier et al., 2014; Veefkind et al., 2012) should
help address this issue.</p>
</sec>

      
      </body>
    <back><app-group>
        <supplementary-material position="anchor"><p><bold>The Supplement related to this article is available online at <inline-supplementary-material xlink:href="http://dx.doi.org/10.5194/acp-15-10839-2015-supplement" xlink:title="pdf">doi:10.5194/acp-15-10839-2015-supplement</inline-supplementary-material>.</bold></p></supplementary-material>
        </app-group><ack><title>Acknowledgements</title><p>We acknowledge the Institut für Meteorologie und Klimaforschung (IMK),
Karlsruhe, Germany, for a licence to use the KOPRA radiative transfer model.
This study was supported by the French Space Agency – CNES (project
“IASI-TOSCA”). The IASI mission is a joint mission of EUMETSAT and the
Centre National d'Etudes Spatiales (CNES, France). The IASI L1 data are
distributed in near real time by EUMETSAT through the EUMETCast system
distribution. We acknowledge the Ether CNES/CNRS-INSU database
(<uri>http://www.pole-ether.fr</uri>) for providing access to IASI Level 1 data.
We acknowledge the LATMOS/ULB for the provision of IASI CO total columns
through the Ether CNES/CNRS-INSU database. The authors gratefully acknowledge
the NOAA Air Resources Laboratory (ARL) for the provision of the HYSPLIT
transport and dispersion model and READY website
(<uri>http://www.ready.noaa.gov</uri>) used in this publication. We acknowledge
the free use of tropospheric NO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> column data from the GOME-2 sensor from
<uri>www.temis.nl</uri>. The ozonesonde data used in this study were mainly
provided by the World Ozone and Ultraviolet Data Centre (WOUDC), the Southern
Hemisphere Additional Ozonesondes (SHADOZ), and the Global Monitoring
Division (GMD) of NOAA's Earth System Research Laboratory and are publicly
available (see <uri>http://www.woudc.org</uri>,
<uri>http://croc.gsfc.nasa.gov/shadoz</uri>, <uri>http://www.esrl.noaa.gov/gmd</uri>). The authors thank all those responsible
for the WOUDC, SHADOZ, and GMD measurements and archives for making the
ozonesonde data available.<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?> Edited by: P. Monks</p></ack><ref-list>
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