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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:oasis="http://docs.oasis-open.org/ns/oasis-exchange/table" xml:lang="en" dtd-version="3.0" article-type="research-article"><?xmltex \bartext{Research article}?>
  <front>
    <journal-meta><journal-id journal-id-type="publisher">ACP</journal-id><journal-title-group>
    <journal-title>Atmospheric Chemistry and Physics</journal-title>
    <abbrev-journal-title abbrev-type="publisher">ACP</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Atmos. Chem. Phys.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1680-7324</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/acp-22-725-2022</article-id><title-group><article-title>Effect of rainfall-induced diabatic heating over southern China on the
formation of wintertime haze <?xmltex \hack{\break}?> on the North China Plain</article-title><alt-title>Effect of diabatic heating over southern China on haze in the NCP</alt-title>
      </title-group><?xmltex \runningtitle{Effect of diabatic heating over southern China on haze in the NCP}?><?xmltex \runningauthor{X. An et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>An</surname><given-names>Xiadong</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-8992-0406</ext-link></contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2 aff3">
          <name><surname>Sheng</surname><given-names>Lifang</given-names></name>
          <email>shenglf@ouc.edu.cn</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff3">
          <name><surname>Li</surname><given-names>Chun</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Chen</surname><given-names>Wen</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-9327-9079</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Tang</surname><given-names>Yulian</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Huangfu</surname><given-names>Jingliang</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Department of Marine Meteorology, College of Oceanic and Atmospheric
Sciences, <?xmltex \hack{\break}?>Ocean University of China, Qingdao 266100, China</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Key Laboratory of South China Sea Meteorological Disaster Prevention
<?xmltex \hack{\break}?>and Mitigation of Hainan Province, Haikou 570000, China</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Ocean-Atmosphere Interaction and Climate Laboratory, Key Laboratory of
Physical Oceanography, <?xmltex \hack{\break}?>Ocean University of China, Qingdao 266100, China</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Center for Monsoon System Research, Institute of Atmospheric Physics,
<?xmltex \hack{\break}?>Chinese Academy of Sciences, Beijing 100190, China</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Lifang Sheng (shenglf@ouc.edu.cn)</corresp></author-notes><pub-date><day>18</day><month>January</month><year>2022</year></pub-date>
      
      <volume>22</volume>
      <issue>2</issue>
      <fpage>725</fpage><lpage>738</lpage>
      <history>
        <date date-type="received"><day>13</day><month>May</month><year>2021</year></date>
           <date date-type="rev-request"><day>22</day><month>June</month><year>2021</year></date>
           <date date-type="rev-recd"><day>4</day><month>November</month><year>2021</year></date>
           <date date-type="accepted"><day>5</day><month>November</month><year>2021</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2022 </copyright-statement>
        <copyright-year>2022</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://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><title>Abstract</title>

      <p id="d1e158">During the winters (December–February) between 1985 and
2015, the North China Plain (NCP, 30–40.5<inline-formula><mml:math id="M1" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N,
112–121.5<inline-formula><mml:math id="M2" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) suffered many periods of heavy haze, and these
episodes were contemporaneous with extreme rainfall over southern China;
i.e., south rainfall–north haze events. The formation of such haze events
depends on meteorological conditions which are related to the atmospheric
circulation associated with rainfall over southern China, but the underlying
physical mechanism remains unclear. This study uses observations and model
simulations to demonstrate that haze over the NCP is modulated by anomalous
anticyclonic circulation caused by the two Rossby wave trains, in
conjunction with the north–south circulation system, which ascends over
southern China, moves north into northern China near 200–250 hPa, and then
descends in the study area. Moreover, in response to rainfall heating,
southern China is an obvious Rossby wave source, supporting waves along the
subtropical westerly jet waveguide and finally strengthening anticyclonic
circulation over the NCP. Composite analysis indicates that these changes
lead to a stronger descending motion, higher relative humidity, and a weaker
northerly wind, which favors the production and accumulation of haze over
the NCP. A linear baroclinic model simulation reproduced the observed
north–south circulation system reasonably well and supports the diagnostic
analysis. Quasi-geostrophic vertical pressure velocity diagnostics were used
to quantify the contributions to the north–south circulation system made
by large-scale adiabatic forcing and diabatic heating (<inline-formula><mml:math id="M3" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula>). The results
indicated that the north–south circulation system is induced mainly by
diabatic heating related to precipitation over southern China, and the
effect of large-scale circulation is negligible. These results provide the
basis for a more comprehensive understanding of the mechanisms that drive
the formation of haze over the NCP.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

      <?xmltex \hack{\allowdisplaybreaks}?>
<?pagebreak page726?><sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e197">Extensive heavy haze on the North China Plain (NCP, 30–40.5<inline-formula><mml:math id="M4" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N,
112–121.5<inline-formula><mml:math id="M5" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) has a detrimental effect on both human health and
social activities (Chen et al., 2017; Hughes et al., 2018; Lelieveld et al.,
2019; Li et al., 2019). These haze events are caused by emissions of
pollutants combined with unfavorable meteorological conditions (Yang et al.,
2016; Cai et al., 2017; Ding et al., 2017; Zhang et al., 2021). Although
emissions play an important role in the generation of haze, numerous studies
have suggested that meteorology is also a significant factor in the
occurrence of extreme haze events (Quan et al., 2011; Wang et al., 2015; Gao
et al., 2016; Stirnberg et al., 2021). For instance, Dang and Liao (2019)
found that large interannual variations in the frequency and intensity of
severe winter haze days were driven mainly by changes in meteorology. Chen
and Wang (2015) also showed that the occurrence of severe haze events over
northern China during the winter generally correlates with meteorological
factors. Y. Q. Zhang et al. (2020) provided evidence that the accumulation
of pollutants caused by unfavorable meteorological conditions have offset
the decreases caused by emissions reductions during the COVID-19 lockdown,
leading to the high aerosol concentrations over Beijing–Tianjin–Hebei that
developed between 7 and 14 February 2020. Unfortunately, continued global
warming will further increase the incidence of haze days in China by
reducing the wind strength (Cai et al., 2017; Xu et al., 2019). Callahan and
Mankin (2020) found that climate change will lead to haze-favorable
conditions over Beijing becoming more frequent, but that internal
variability can generate large uncertainties in these projections. There is
little doubt that developing an improved understanding of the factors and
mechanisms that cause haze is one of the greatest challenges facing
researchers over the coming decades.</p>
      <p id="d1e218">Overall, the role of meteorology modulated by the large-scale circulation in
the generation of haze is crucial but uncertain. Large-scale circulations
regulate meteorological conditions like reducing dispersion by atmospheric
teleconnection and facilitating the accumulation of haze pollutants (Y.
Zhang et al., 2020). Hence, the predictability of wintertime heavy haze over
the NCP stems from the underlying meteorological factors. These include, but are
not limited to, Eurasian snow cover and central Siberian soil moisture
(Zhang et al., 2020); the sea surface temperature (SST) anomalies related to El Niño–Southern
Oscillation (ENSO) in the tropical Pacific (Feng et al., 2019; G. Zhang et
al., 2019; Yu et al., 2020; Zhang et al., 2020) and the Atlantic oceans
(Wang et al., 2019; Zhang et al., 2020); the Pacific Decadal Oscillation
(Zhao et al., 2016); the Arctic Oscillation (Cai et al., 2017; G. Zhang et
al., 2019); the preceding Antarctic Oscillation (i.e.,
August–September–October) (Z. Zhang et al., 2019); and the North
Atlantic Oscillation (Feng et al., 2019; M. Li et al., 2021), as well as Arctic
sea ice changes (Zou et al., 2020), especially in the Beaufort Sea (Yin et
al., 2019a; Li and Yin, 2020) and Chukchi Sea (Yin et al., 2019b).</p>
      <p id="d1e221">Recent studies have further documented that heavy haze over the NCP can be
attributed to an anticyclonic anomaly over northeastern Asia (AANA) caused by
westerly jet wave trains in the middle-to-upper troposphere over the
Eurasian continent (Chen et al., 2020; Wang et al., 2019; An et al., 2020).
As a synoptic-scale circulation, this AANA is accompanied by anomalous
southeasterly winds near the surface, as well as a temperature inversion
layer and anomalous vertical motion in the surrounding areas, which
encourages the development of severe haze (Zhong et al., 2019; An et al.,
2020). It is worth mentioning that An et al. (2020) also found that the
atmospheric circulation related to rainfall over southern China further
supports the maintenance of heavy haze in the AANA background over the NCP
via the local north–south circulation system (Fig. 1). However, their
interpretation was based only on isolated extreme heavy haze events during
November and December 2015 (An et al., 2020). To determine whether this
finding was simply a special case, further investigations will be required
that are based on a greater number of haze events with the same background
of atmospheric circulation as rainfall in southern China over a longer
period. Consequently, in this study, we aim to investigate the mechanisms
associated with haze formation over the NCP between 1985 and 2015, with an
emphasis on the role of circulation related to rainfall-induced diabatic
heating in southern China under the same background of atmospheric
circulation. In addition, given the potential role of circulation related to
rainfall over southern China in maintaining heavy haze over the NCP, we will
also explore diabatic heating using a linear baroclinic model (LBM) run
under heating forcing in southern China.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1"><?xmltex \currentcnt{1}?><?xmltex \def\figurename{Figure}?><label>Figure 1</label><caption><p id="d1e227">Schematic illustration of the local
north–south circulation system. The circular red (blue) arrow
indicates the anomalous cyclone (anticyclone), the  vertical red (blue)  arrow
indicates ascending (descending) motion, the thick black arrow indicates
northward movement in the upper-level troposphere, H indicates the
anticyclonic anomaly, and the white cloud indicates rainfall (see An et al., 2020, for caption details).</p></caption>
        <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/22/725/2022/acp-22-725-2022-f01.png"/>

      </fig>

      <?pagebreak page727?><p id="d1e236">The remainder of the paper is organized as follows. The second section
describes the datasets and methods used in this work. This is followed by a
more extensive section describing the haze events and associated weather
patterns. The fourth section introduces the role of diabatic heating caused
by rainfall on haze formation over the NCP, which we simulated using the
LBM. The paper concludes with a brief summary and discussion of the
formation of haze over the NCP.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Data and methods</title>
<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>Data</title>
      <p id="d1e254">We obtained quality-controlled in situ daily rainfall data from 194 stations
in China covering the period January 1985 to February 2015 from the Chinese
Meteorological Administration (<uri>http://www.nmic.cn/</uri>, last access: 12 November 2017) to determine the
distribution of rainfall over southern China. Daily visibility data from
meteorological stations in the region bounded by 15–55<inline-formula><mml:math id="M6" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N,
105–135<inline-formula><mml:math id="M7" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, from January 1985 to December 2015 were also obtained
from the Chinese Meteorological Administration. Such observed rainfall (Li and
Sun, 2015; Ding and Li, 2017) and visibility (e.g., Liu et al., 2017; An et
al., 2020) data have been widely used in previous research on extreme
rainfall and haze events. In addition, the daily PM<inline-formula><mml:math id="M8" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> concentration
dataset for China for the period 1980–2019 was collated by Yang (2020)
using data available at <uri>https://zenodo.org/record/4293239#.YJI3J8DiuUn</uri> (last access: 12 April 2021).
These daily PM<inline-formula><mml:math id="M9" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> concentrations were in excellent agreement with
ground measurements, with a coefficient of determination of 0.95 and a mean
relative error of 12 % (H. Li et al., 2021).</p>
      <p id="d1e300">The atmospheric reanalysis data, including geopotential, zonal and meridional
wind, relative humidity, air temperature, and vertical velocity, were
obtained from the National Centers for Environmental Prediction – National
Center for Atmospheric Research (NCEP-NCAR) NCEP-DOE AMIP-II Reanalysis
(R-2) dataset (Kanamitsu et al., 2002), provided by the NOAA/OAR/ESRL PSD,
Boulder, Colorado, USA (<uri>http://www.esrl.noaa.gov/psd/</uri>, last access: 20 December 2020).
The data used in
this study cover a 31-year period from 1985 to 2015, with a 1 d
resolution, a horizontal spatial resolution of 2.5<inline-formula><mml:math id="M10" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> longitude <inline-formula><mml:math id="M11" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 2.5<inline-formula><mml:math id="M12" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>
latitude, and vertical levels from 1000 to 100 hPa.</p>
</sec>
<sec id="Ch1.S2.SS2">
  <label>2.2</label><title>Methods</title>
      <p id="d1e339">In accordance with the standards set by the Chinese Meteorological
Administration (2010), we defined haze as a day on which the daily mean
visibility and relative humidity were less than 10 km and 80 %,
respectively, and when no rain, snow, or sand and dust storms occurred. This
identification method has been applied to the forecast of haze–fog by
Chinese Meteorological Administration and is particularly useful for
studying haze (e.g., Liu et al., 2017; An et al., 2020).</p>
      <p id="d1e342">To analyze the distribution of heating associated with rainfall, we
calculated the atmospheric apparent heat source (<inline-formula><mml:math id="M13" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>)
according to the equation obtained by Yanai et al. (1973):
            <disp-formula id="Ch1.E1" content-type="numbered"><label>1</label><mml:math id="M14" display="block"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub><mml:mo>=</mml:mo><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msub><mml:mi>c</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>T</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>-</mml:mo><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msub><mml:mi>c</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub><mml:mfenced open="(" close=")"><mml:mrow><mml:mi mathvariant="italic">ω</mml:mi><mml:mi mathvariant="italic">σ</mml:mi><mml:mo>-</mml:mo><mml:mi mathvariant="bold-italic">V</mml:mi><mml:mo>⋅</mml:mo><mml:mi mathvariant="normal">∇</mml:mi><mml:mi>T</mml:mi></mml:mrow></mml:mfenced><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          where <inline-formula><mml:math id="M15" display="inline"><mml:mrow><mml:msub><mml:mi>c</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> denotes the specific heat at constant pressure, <inline-formula><mml:math id="M16" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> is the air
temperature, <inline-formula><mml:math id="M17" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> is the time, <inline-formula><mml:math id="M18" display="inline"><mml:mi mathvariant="italic">ω</mml:mi></mml:math></inline-formula> is the vertical pressure
velocity, the static stability <inline-formula><mml:math id="M19" display="inline"><mml:mrow><mml:mi mathvariant="italic">σ</mml:mi><mml:mo>=</mml:mo><mml:mo>(</mml:mo><mml:mi mathvariant="normal">RT</mml:mi><mml:mo>/</mml:mo><mml:msub><mml:mi>c</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub><mml:mi mathvariant="normal">p</mml:mi><mml:mo>)</mml:mo><mml:mo>-</mml:mo><mml:mo>(</mml:mo><mml:mo>∂</mml:mo><mml:mi>T</mml:mi><mml:mo>/</mml:mo><mml:mo>∂</mml:mo><mml:mi mathvariant="normal">p</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M20" display="inline"><mml:mi>R</mml:mi></mml:math></inline-formula> is the gas constant, p is the pressure, <inline-formula><mml:math id="M21" display="inline"><mml:mi mathvariant="bold-italic">V</mml:mi></mml:math></inline-formula>
is the horizontal wind vector, <inline-formula><mml:math id="M22" display="inline"><mml:mi mathvariant="normal">∇</mml:mi></mml:math></inline-formula> is the horizontal gradient
operator, <inline-formula><mml:math id="M23" display="inline"><mml:mi>L</mml:mi></mml:math></inline-formula> is the latent heat of condensation, and <inline-formula><mml:math id="M24" display="inline"><mml:mi>q</mml:mi></mml:math></inline-formula> is the specific
humidity. Here, <inline-formula><mml:math id="M25" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> represents the total diabatic
heating (including radiation, latent heating, and surface heat flux) and the
subgrid-scale heat flux convergences (Yanai et al., 1973).</p>
      <p id="d1e535">According to Nie et al. (2020), the quasi-geostrophic (QG) vertical pressure
velocity (<inline-formula><mml:math id="M26" display="inline"><mml:mi mathvariant="italic">ω</mml:mi></mml:math></inline-formula>) diagnostics is can be used to decompose <inline-formula><mml:math id="M27" display="inline"><mml:mi mathvariant="italic">ω</mml:mi></mml:math></inline-formula> in
extreme precipitation into one part (<inline-formula><mml:math id="M28" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">ω</mml:mi><mml:mi mathvariant="normal">D</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) due to large-scale
adiabatic forcing (<inline-formula><mml:math id="M29" display="inline"><mml:mi>F</mml:mi></mml:math></inline-formula>) and another part (<inline-formula><mml:math id="M30" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">ω</mml:mi><mml:mi>Q</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> due to diabatic
heating (<inline-formula><mml:math id="M31" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula>). The QG <inline-formula><mml:math id="M32" display="inline"><mml:mi mathvariant="italic">ω</mml:mi></mml:math></inline-formula> equation reads</p>
      <p id="d1e598"><disp-formula id="Ch1.E2" content-type="numbered"><label>2</label><mml:math id="M33" display="block"><mml:mtable class="split" rowspacing="0.2ex" displaystyle="true" columnalign="right left"><mml:mtr><mml:mtd><mml:mrow><mml:mfenced close=")" open="("><mml:mrow><mml:msub><mml:mo>∂</mml:mo><mml:mi mathvariant="normal">pp</mml:mi></mml:msub><mml:mo>+</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mi mathvariant="italic">σ</mml:mi><mml:mrow><mml:msup><mml:mi>f</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:mfrac></mml:mstyle><mml:msup><mml:mi mathvariant="normal">∇</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:mfenced><mml:mi mathvariant="italic">ω</mml:mi></mml:mrow></mml:mtd><mml:mtd><mml:mrow><mml:mo>=</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mo>-</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mn mathvariant="normal">1</mml:mn><mml:mi>f</mml:mi></mml:mfrac></mml:mstyle><mml:msub><mml:mo>∂</mml:mo><mml:mi mathvariant="normal">p</mml:mi></mml:msub><mml:mi mathvariant="normal">Ad</mml:mi><mml:msub><mml:mi>v</mml:mi><mml:mi mathvariant="italic">ζ</mml:mi></mml:msub><mml:mo>-</mml:mo><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mi>R</mml:mi><mml:mrow><mml:mi mathvariant="normal">p</mml:mi><mml:msup><mml:mi>f</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:mfrac></mml:mstyle><mml:msup><mml:mi mathvariant="normal">∇</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mi mathvariant="normal">Ad</mml:mi><mml:msub><mml:mi>v</mml:mi><mml:mi>T</mml:mi></mml:msub></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd/><mml:mtd><mml:mrow><mml:mo>-</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mi>R</mml:mi><mml:mrow><mml:mi mathvariant="normal">p</mml:mi><mml:msup><mml:mi>f</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:mfrac></mml:mstyle><mml:msup><mml:mi mathvariant="normal">∇</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mi>Q</mml:mi><mml:mo>,</mml:mo></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
          where <inline-formula><mml:math id="M34" display="inline"><mml:mrow><mml:mi mathvariant="italic">σ</mml:mi><mml:mo>=</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mo>-</mml:mo><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mi mathvariant="normal">RT</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:mfrac></mml:mstyle><mml:msub><mml:mo>∂</mml:mo><mml:mi mathvariant="normal">p</mml:mi></mml:msub><mml:mi mathvariant="normal">ln</mml:mi><mml:mi mathvariant="italic">θ</mml:mi></mml:mrow></mml:math></inline-formula> is the dry static stability, and <inline-formula><mml:math id="M35" display="inline"><mml:mi>f</mml:mi></mml:math></inline-formula> is the
Coriolis parameter. the terms <inline-formula><mml:math id="M36" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="normal">Adv</mml:mi><mml:mi mathvariant="italic">ζ</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mo>-</mml:mo><mml:msub><mml:mi mathvariant="bold-italic">V</mml:mi><mml:mi mathvariant="normal">g</mml:mi></mml:msub><mml:mo>⋅</mml:mo><mml:mi mathvariant="normal">∇</mml:mi><mml:mi mathvariant="italic">ζ</mml:mi></mml:mrow></mml:math></inline-formula> and
<inline-formula><mml:math id="M37" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="normal">Adv</mml:mi><mml:mi>T</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mo>-</mml:mo><mml:msub><mml:mi mathvariant="bold-italic">V</mml:mi><mml:mi mathvariant="normal">g</mml:mi></mml:msub><mml:mo>⋅</mml:mo><mml:mi mathvariant="normal">∇</mml:mi><mml:mi>T</mml:mi></mml:mrow></mml:math></inline-formula> are the horizontal advection of geostrophic absolute vorticity
(<inline-formula><mml:math id="M38" display="inline"><mml:mi mathvariant="italic">ζ</mml:mi></mml:math></inline-formula>) and temperature (<inline-formula><mml:math id="M39" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>), respectively, by the geostrophic winds.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2"><?xmltex \currentcnt{2}?><?xmltex \def\figurename{Figure}?><label>Figure 2</label><caption><p id="d1e823">Daily mean visibility (shading, km d<inline-formula><mml:math id="M40" 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>) over the NCP (30–40<inline-formula><mml:math id="M41" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 112–120<inline-formula><mml:math id="M42" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E)
and precipitation (shading, mm d<inline-formula><mml:math id="M43" 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>) in southern China
(10–20<inline-formula><mml:math id="M44" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 110–120<inline-formula><mml:math id="M45" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) for each south
rainfall–north haze (SR–NH) event. Panels
<bold>(a–n)</bold> represent events 1–13, respectively, as
described in Table 1.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/22/725/2022/acp-22-725-2022-f02.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3"><?xmltex \currentcnt{3}?><?xmltex \def\figurename{Figure}?><label>Figure 3</label><caption><p id="d1e898">Composite <bold>(a)</bold> anomalous air temperature at 1000 hPa,
<bold>(b)</bold> absolute values of relative humidity at 925 hPa, and <bold>(c)</bold> anomalous wind
(arrows) and wind speed (shading, m s<inline-formula><mml:math id="M46" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) at 1000 hPa for the 13 SR–NH events. The dotted white region indicates areas
at the 99 % confidence level based on the two-tailed Student <inline-formula><mml:math id="M47" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test. The black box indicates the NCP
(30–40.5<inline-formula><mml:math id="M48" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 112–121.5<inline-formula><mml:math id="M49" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) and
the gray area is the Tibetan Plateau.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/22/725/2022/acp-22-725-2022-f03.png"/>

        </fig>

      <p id="d1e954">To explore the propagation of anomalous Rossby waves along the subtropical
westerly jet waveguide in the Northern Hemisphere, the horizontal stationary
wave activity flux can be calculated as follows (Takaya and Nakamura,
2001):
            <disp-formula id="Ch1.E3" content-type="numbered"><label>3</label><mml:math id="M50" display="block"><mml:mrow><mml:mi mathvariant="bold-italic">W</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mo>=</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mi mathvariant="normal">p</mml:mi><mml:mi>cos⁡</mml:mi><mml:mi mathvariant="italic">ϕ</mml:mi></mml:mrow><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mfenced open="|" close="|"><mml:mi mathvariant="bold">U</mml:mi></mml:mfenced></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>⋅</mml:mo><mml:mfenced close=")" open="("><mml:mtable class="array" columnalign="left"><mml:mtr><mml:mtd><mml:mrow><mml:mstyle displaystyle="false"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mi>U</mml:mi><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:msup><mml:mi>cos⁡</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mi mathvariant="italic">ϕ</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mstyle><mml:mfenced open="[" close="]"><mml:mrow><mml:msup><mml:mfenced close=")" open="("><mml:mstyle displaystyle="false"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mo>∂</mml:mo><mml:msup><mml:mi mathvariant="italic">ψ</mml:mi><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:msup></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi mathvariant="italic">λ</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mstyle></mml:mfenced><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>-</mml:mo><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="italic">ψ</mml:mi><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:msup><mml:mstyle displaystyle="false"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:msup><mml:mo>∂</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:msup><mml:mi mathvariant="italic">ψ</mml:mi><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:msup></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:msup><mml:mi mathvariant="italic">λ</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:mfrac></mml:mstyle></mml:mstyle></mml:mrow></mml:mfenced></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mrow><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mo>+</mml:mo><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mstyle displaystyle="false"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mi>V</mml:mi><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mi>cos⁡</mml:mi><mml:mi mathvariant="italic">ϕ</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mstyle><mml:mfenced close="]" open="["><mml:mrow><mml:mstyle displaystyle="false"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mo>∂</mml:mo><mml:msup><mml:mi mathvariant="italic">ψ</mml:mi><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:msup></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi mathvariant="italic">λ</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mstyle><mml:mstyle displaystyle="false"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mo>∂</mml:mo><mml:msup><mml:mi mathvariant="italic">ψ</mml:mi><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:msup></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi mathvariant="italic">ϕ</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mstyle><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mo>-</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="italic">ψ</mml:mi><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:msup><mml:mstyle displaystyle="false"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:msup><mml:mo>∂</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:msup><mml:mi mathvariant="italic">ψ</mml:mi><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:msup></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi mathvariant="italic">λ</mml:mi><mml:mo>∂</mml:mo><mml:mi mathvariant="italic">ϕ</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mstyle></mml:mrow></mml:mfenced></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mrow><mml:mstyle displaystyle="false"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mi>U</mml:mi><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mi>cos⁡</mml:mi><mml:mi mathvariant="italic">ϕ</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mstyle><mml:mfenced close="]" open="["><mml:mrow><mml:mstyle displaystyle="false"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mo>∂</mml:mo><mml:msup><mml:mi mathvariant="italic">ψ</mml:mi><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:msup></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi mathvariant="italic">λ</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mstyle><mml:mstyle displaystyle="false"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mo>∂</mml:mo><mml:msup><mml:mi mathvariant="italic">ψ</mml:mi><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:msup></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi mathvariant="italic">ϕ</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mstyle><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mo>-</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="italic">ψ</mml:mi><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:msup><mml:mstyle displaystyle="false"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:msup><mml:mo>∂</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:msup><mml:mi mathvariant="italic">ψ</mml:mi><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:msup></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi mathvariant="italic">λ</mml:mi><mml:mo>∂</mml:mo><mml:mi mathvariant="italic">ϕ</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mstyle></mml:mrow></mml:mfenced></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mrow><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mo>+</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mstyle displaystyle="false"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mi>V</mml:mi><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:mfrac></mml:mstyle></mml:mstyle><mml:mfenced close="]" open="["><mml:mrow><mml:msup><mml:mfenced open="(" close=")"><mml:mstyle displaystyle="false"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mo>∂</mml:mo><mml:msup><mml:mi mathvariant="italic">ψ</mml:mi><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:msup></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi mathvariant="italic">ϕ</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mstyle></mml:mfenced><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>-</mml:mo><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="italic">ψ</mml:mi><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:msup><mml:mstyle displaystyle="false"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:msup><mml:mo>∂</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:msup><mml:mi mathvariant="italic">ψ</mml:mi><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:msup></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:msup><mml:mi mathvariant="italic">ϕ</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:mfrac></mml:mstyle></mml:mstyle></mml:mrow></mml:mfenced></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:mfenced><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          where <inline-formula><mml:math id="M51" display="inline"><mml:mi mathvariant="bold-italic">W</mml:mi></mml:math></inline-formula> is the wave activity flux with unit of m<inline-formula><mml:math id="M52" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M53" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>,
<inline-formula><mml:math id="M54" display="inline"><mml:mrow><mml:mi mathvariant="italic">ψ</mml:mi><mml:mo>(</mml:mo><mml:mo>=</mml:mo><mml:mi mathvariant="normal">Φ</mml:mi><mml:mo>/</mml:mo><mml:mi>f</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> is the geostrophic stream function, <inline-formula><mml:math id="M55" display="inline"><mml:mi mathvariant="normal">Φ</mml:mi></mml:math></inline-formula>
(gpm) is the geopotential height, and <inline-formula><mml:math id="M56" display="inline"><mml:mi>f</mml:mi></mml:math></inline-formula> (<inline-formula><mml:math id="M57" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:mi mathvariant="normal">Ω</mml:mi><mml:mi>sin⁡</mml:mi><mml:mi mathvariant="italic">ϕ</mml:mi></mml:mrow></mml:math></inline-formula>) is the
Coriolis parameter. <inline-formula><mml:math id="M58" display="inline"><mml:mrow><mml:mi mathvariant="bold">U</mml:mi><mml:mo>(</mml:mo><mml:mo>=</mml:mo><mml:mo>(</mml:mo><mml:mi>U</mml:mi><mml:mo>,</mml:mo><mml:mi>V</mml:mi><mml:msup><mml:mo>)</mml:mo><mml:mi>T</mml:mi></mml:msup></mml:mrow></mml:math></inline-formula>; m s<inline-formula><mml:math id="M59" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> is the basic
flow. We used the daily reanalysis data, i.e., the daily zonal wind,
meridional wind, and anomalous geopotential height (for the stream function),
to calculate the vector <inline-formula><mml:math id="M60" display="inline"><mml:mi mathvariant="bold-italic">W</mml:mi></mml:math></inline-formula>.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><?xmltex \currentcnt{4}?><?xmltex \def\figurename{Figure}?><label>Figure 4</label><caption><p id="d1e1461">Composite map of <bold>(a)</bold> 200 hPa meridional wind anomalies
(shading, unit: m s<inline-formula><mml:math id="M61" 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>, dashed and solid green
contours for <inline-formula><mml:math id="M62" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:math></inline-formula> and 7 m s<inline-formula><mml:math id="M63" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>,
respectively), zonal wind (contours, unit: m s<inline-formula><mml:math id="M64" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>),
and wave activity flux (vectors, unit: m<inline-formula><mml:math id="M65" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M66" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>), <bold>(b)</bold> 500 hPa geopotential height anomalies
(shading, unit: gpm, dashed and solid green contours for <inline-formula><mml:math id="M67" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>40 and
20 gpm, respectively) and 850 hPa wind (vectors). Dotted white  regions
indicate areas at the 99 % confidence level based on the two-tailed Student <inline-formula><mml:math id="M68" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://acp.copernicus.org/articles/22/725/2022/acp-22-725-2022-f04.png"/>

        </fig>

      <?pagebreak page728?><p id="d1e1558">We calculated the linearized Rossby wave source according to Sardeshmukh and
Hoskins (1988), which can be expressed as follows:
            <disp-formula id="Ch1.E4" content-type="numbered"><label>4</label><mml:math id="M69" display="block"><mml:mrow><mml:mi>S</mml:mi><mml:mo>=</mml:mo><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mo>-</mml:mo><mml:msub><mml:mi mathvariant="normal">∇</mml:mi><mml:mi mathvariant="normal">H</mml:mi></mml:msub><mml:mo>⋅</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mfenced open="{" close="}"><mml:mrow><mml:msubsup><mml:mi mathvariant="bold-italic">u</mml:mi><mml:mi mathvariant="italic">χ</mml:mi><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:msubsup><mml:mfenced open="(" close=")"><mml:mrow><mml:mi>f</mml:mi><mml:mo>+</mml:mo><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mover accent="true"><mml:mi mathvariant="italic">ζ</mml:mi><mml:mo mathvariant="normal">‾</mml:mo></mml:mover></mml:mrow></mml:mfenced></mml:mrow></mml:mfenced><mml:mo>-</mml:mo><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msub><mml:mi mathvariant="normal">∇</mml:mi><mml:mi mathvariant="normal">H</mml:mi></mml:msub><mml:mo>⋅</mml:mo><mml:mfenced close="}" open="{"><mml:mrow><mml:msubsup><mml:mi mathvariant="bold-italic">u</mml:mi><mml:mi mathvariant="italic">χ</mml:mi><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:msubsup><mml:msup><mml:mi mathvariant="italic">ζ</mml:mi><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:msup></mml:mrow></mml:mfenced><mml:mo>.</mml:mo></mml:mrow></mml:math></disp-formula>
          Here, <inline-formula><mml:math id="M70" display="inline"><mml:mrow><mml:mi mathvariant="bold-italic">u</mml:mi><mml:mo>=</mml:mo><mml:mo>(</mml:mo><mml:mi>u</mml:mi><mml:mo>,</mml:mo><mml:mi>v</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> denotes the horizontal wind velocity,
<inline-formula><mml:math id="M71" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="normal">∇</mml:mi><mml:mi mathvariant="normal">H</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is the horizontal gradient, and the
subscript <inline-formula><mml:math id="M72" display="inline"><mml:mrow><mml:mi mathvariant="italic">χ</mml:mi><mml:mo>(</mml:mo><mml:mi mathvariant="italic">ψ</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> represents the divergent (rotational)
component. Overbars indicate the climatological mean and primes signify
anomalies.</p>
      <p id="d1e1682">The LBM (Watanabe and Kimoto, 2000), a simple dry model, has been widely
used to examine the steady linear response to idealized diabatic heating (Lu
and Lin, 2009; Sampe and Xie, 2010; Xu et al., 2020; Hu et al., 2020). This
model consists of basic equations linearized with respect to the mean state
of the December (0)–February (1) (DJF) climatology from the NCEP-DOE
reanalysis for 1981–2010. The version used here has a horizontal resolution
of T42 (roughly equivalent to 2.8<inline-formula><mml:math id="M73" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>) and 20 vertical sigma levels.
Using the time integration methods, the LBM was run up to 30 d, and the
variable (i.e., zonal wind, meridional wind, and vertical velocity) on the
last day (i.e., day 30) was taken as the steady response to the prescribed
diabatic heating over southern China.</p>
      <p id="d1e1694">All composite maps were obtained from the average of each individual case.</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Weather patterns related to heavy haze events on the NCP</title>
      <p id="d1e1706">Ding and Li (2017) investigated 30 extreme winter rainfall events associated
with the subtropical westerly jet waveguide over southern China. From 19
rainfall events between 1985 and 2015 and the visibility observation data
analyzed in this study, we found 13 periods when the NCP experienced a
pollution episode at the same time that heavy rainfall occurred in southern
China (Table 1; Fig. 2). We took these 13 episodes as representative
examples of the occurrence of haze over the NCP when that coincided with
periods of heavy rainfall over southern China and defined them as south
rainfall–north haze (hereafter, SR–NH) events. When rain fell over
southern China, the probability of a haze event over the NCP during our
research period of 1985–2015 was 68.42 % under the similar background of
atmospheric circulation. Details of these 13 SR–NH events are shown in
Fig. 2 and Table 1. For the events studied here, there was evident
precipitation in southern China, with unfixed rainfall areas (Ding and Li,
2017). At the same time, significant haze was trapped on the NCP, with poor
visibility (<inline-formula><mml:math id="M74" display="inline"><mml:mrow><mml:mi mathvariant="italic">&lt;</mml:mi><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> km) over large areas, which<?pagebreak page729?> is similar to the
conditions described by An et al. (2020). In particular, more intense and
widespread haze events occurred over the NCP on 22–24 December 2007, 1–5
January 1992, and 12–17 January 2012. A natural question that arises is what
kind of atmospheric circulation regulates the weather phenomena associated
with SR–NH events.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e1722">Start and end dates, and duration, of each
SR–NH event.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="6">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="left"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">No.</oasis:entry>
         <oasis:entry colname="col2">Start and end dates</oasis:entry>
         <oasis:entry colname="col3">Duration</oasis:entry>
         <oasis:entry colname="col4">No.</oasis:entry>
         <oasis:entry colname="col5">Start and end dates</oasis:entry>
         <oasis:entry colname="col6">Duration</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">(days)</oasis:entry>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5"/>
         <oasis:entry colname="col6">(days)</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">1</oasis:entry>
         <oasis:entry colname="col2">4–8 February 1985</oasis:entry>
         <oasis:entry colname="col3">5</oasis:entry>
         <oasis:entry colname="col4">8</oasis:entry>
         <oasis:entry colname="col5">13–15 December 2006</oasis:entry>
         <oasis:entry colname="col6">3</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">2</oasis:entry>
         <oasis:entry colname="col2">29–31 December 1988</oasis:entry>
         <oasis:entry colname="col3">3</oasis:entry>
         <oasis:entry colname="col4">9</oasis:entry>
         <oasis:entry colname="col5">22–24 December 2007</oasis:entry>
         <oasis:entry colname="col6">3</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">3</oasis:entry>
         <oasis:entry colname="col2">4–8 January 1989</oasis:entry>
         <oasis:entry colname="col3">5</oasis:entry>
         <oasis:entry colname="col4">10</oasis:entry>
         <oasis:entry colname="col5">25 February–6 March 2009</oasis:entry>
         <oasis:entry colname="col6">10</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">4</oasis:entry>
         <oasis:entry colname="col2">1–5 January 1992</oasis:entry>
         <oasis:entry colname="col3">5</oasis:entry>
         <oasis:entry colname="col4">11</oasis:entry>
         <oasis:entry colname="col5">12–17 January 2012</oasis:entry>
         <oasis:entry colname="col6">6</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">5</oasis:entry>
         <oasis:entry colname="col2">7–12 December 1994</oasis:entry>
         <oasis:entry colname="col3">6</oasis:entry>
         <oasis:entry colname="col4">12</oasis:entry>
         <oasis:entry colname="col5">13–17 December 2013</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">6</oasis:entry>
         <oasis:entry colname="col2">7–11 January 1998</oasis:entry>
         <oasis:entry colname="col3">5</oasis:entry>
         <oasis:entry colname="col4">13</oasis:entry>
         <oasis:entry colname="col5">8–13 January 2015</oasis:entry>
         <oasis:entry colname="col6">6</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">7</oasis:entry>
         <oasis:entry colname="col2">17–20 December 2002</oasis:entry>
         <oasis:entry colname="col3">4</oasis:entry>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5"/>
         <oasis:entry colname="col6"/>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d1e1941">Figure 3 shows the composite anomalous air temperature at 1000 hPa, the
absolute values of relative humidity at 925 hPa, and the anomalous wind
vectors at 1000 hPa for the 13 SR–NH events. The positive air temperature
anomaly over the NCP, which is caused by warmer and humid airflow from the
low-level western North Pacific and transported by the easterly wind anomaly
(Fig. 3a and c), creates favorable moisture conditions for the hygroscopic
growth of haze particles, and further deteriorates haze in the NCP (Ding et
al., 2017). Additionally, relative humidity over China shows a triode
pattern, with low values over the NCP (<inline-formula><mml:math id="M75" display="inline"><mml:mrow><mml:mo>≤</mml:mo><mml:mn mathvariant="normal">80</mml:mn></mml:mrow></mml:math></inline-formula> %), meaning that these
haze cases are haze rather than haze–fog (An et al., 2020). However, the
relative humidity over southern China is close to 100 %, and this is the
result of the southwesterly airflow along the coast of southern China and
the rainfall (Figs. 2, 3b, c, and 4b). The anomalous easterlies on the eastern
side of the NCP not only transport warm and moist air that promotes the
development of haze over the NCP, but also weaken the East Asian winter
monsoon (An et al., 2020), which is not conducive to the horizontal
diffusion of haze (Fig. 3c).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5"><?xmltex \currentcnt{5}?><?xmltex \def\figurename{Figure}?><label>Figure 5</label><caption><p id="d1e1957">Composite map of the Rossby wave source (shading, unit:
s<inline-formula><mml:math id="M76" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) at 200 hPa for the 13 SR–NH events.
According to Eq. (4), the variables should be composited first and then used
to calculate the Rossby wave source; hence, there is no
<inline-formula><mml:math id="M77" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test here.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://acp.copernicus.org/articles/22/725/2022/acp-22-725-2022-f05.png"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6"><?xmltex \currentcnt{6}?><?xmltex \def\figurename{Figure}?><label>Figure 6</label><caption><p id="d1e1987">Composite sections of absolute values for the 13 SR–NH
events: latitude–height sections of <bold>(a)</bold> vertical velocity (shading, unit:
<inline-formula><mml:math id="M78" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> Pa s<inline-formula><mml:math id="M79" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) and wind vectors (<inline-formula><mml:math id="M80" display="inline"><mml:mi mathvariant="bold-italic">v</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M81" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mi mathvariant="italic">ω</mml:mi></mml:mrow></mml:math></inline-formula>) averaged over 112–120<inline-formula><mml:math id="M82" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, and
longitude–height cross sections of <bold>(b)</bold> vertical velocity (shading, unit:
<inline-formula><mml:math id="M83" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> Pa s<inline-formula><mml:math id="M84" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) and wind vectors (<inline-formula><mml:math id="M85" display="inline"><mml:mi mathvariant="bold-italic">u</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M86" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mi mathvariant="italic">ω</mml:mi></mml:mrow></mml:math></inline-formula>) averaged over 20–30<inline-formula><mml:math id="M87" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, and <bold>(c)</bold>
30–40<inline-formula><mml:math id="M88" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N. Dotted white regions indicate areas at the
99 % confidence level based on the two-tailed Student
<inline-formula><mml:math id="M89" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test.</p></caption>
        <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/22/725/2022/acp-22-725-2022-f06.png"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><?xmltex \currentcnt{7}?><?xmltex \def\figurename{Figure}?><label>Figure 7</label><caption><p id="d1e2121">Composite <bold>(a)</bold> divergent wind (arrows) and velocity
potential (shading, unit: 10<inline-formula><mml:math id="M90" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:math></inline-formula> m<inline-formula><mml:math id="M91" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M92" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) at 200 hPa, <bold>(b)</bold>
latitude–height cross section of the stream function (contours, unit:
10<inline-formula><mml:math id="M93" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">8</mml:mn></mml:msup></mml:math></inline-formula> m<inline-formula><mml:math id="M94" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M95" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) and relative vorticity (shading, unit:
<inline-formula><mml:math id="M96" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.5</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M97" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M98" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) averaged over 112–120<inline-formula><mml:math id="M99" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E,
for the 13 SR–NH events. The divergent wind flows from the minimum to the
maximum of the velocity potential field. Dotted white regions indicate areas
at the 95 % confidence level based on the two-tailed Student <inline-formula><mml:math id="M100" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://acp.copernicus.org/articles/22/725/2022/acp-22-725-2022-f07.png"/>

      </fig>

      <p id="d1e2253">To illustrate the reasons for the above changes in the meteorological
factors, we next consider large-scale circulation. The composite map of the
meridional wind anomaly reveals a substantial wave train with alternate
positive and negative meridional wind anomalies at 200 hPa over the
midlatitudes of the Northern Hemisphere (Fig. 4a). This circulation pattern
is suggestive of a Rossby wave train emanating from the North Atlantic (Li
and Sun, 2015; Ding and Li, 2017; An et al., 2020; Li et al., 2020; Huang et
al., 2020). According to the Rossby wave theory (Hoskins and<?pagebreak page730?> Ambrizzi,
1993), the subtropical westerly jet, as a waveguide, allows the Rossby wave
to arrive at the NCP (Fig. 4a). The wave activity fluxes show this wave
train extending eastwards from the North Atlantic to eastern Europe, then
southeastwards to the Arabian Peninsula, the Tibetan Plateau, and finally to the
NCP (Fig. 4a), indicating that atmospheric circulation over the NCP is regulated by
this wave train. As a result, there is a prominent anticyclonic anomaly over
the NCP (Fig. 4b), which agrees with the analysis of An et al. (2020). At
500 hPa, the anomalies are similar to the negative phase of the Eurasian
teleconnection (EU), although they are shifted south and west of the
canonical position of the three centers of the EU pattern (Wallace and
Gutzler, 1981) (Fig. 4b). This negative EU-like pattern is not conducive to
the development of the East Asian winter monsoon (An et al., 2020), and this
further encourages the development of heavy haze over the NCP. In addition,
the AANA related to EU-like pattern also supports haze development over the
NCP via the anomalous descending motion and southerly wind along the east
coast of China (Figs. 3c and 4b). In addition, the anomalous southwesterly
airflow along the coast of southern China transports large amounts of water
vapor to this area and is one of the conditions that leads to the heavy
rainfall over southern China (Li and Sun, 2015; Ding and Li, 2017).</p>
      <p id="d1e2256">Previous studies have demonstrated that the convergence and divergence
anomalies in the upper troposphere can be regarded as an effective Rossby
wave source for the stationary Rossby wave (Hoskins and Ambrizzi, 1993;
Branstator, 2002;
Watanabe, 2000; Chen et al., 2020). The strong divergence
causes rainfall in southern China and is located at 200 hPa (Li and Sun,
2015; Ding and Li, 2017; An et al., 2020), but does it also act as the
Rossby wave source to strengthen the Rossby wave along the subtropical
westerly jet waveguide? The composite map of the Rossby wave source for
SR–NH events reveals a significant negative Rossby wave source in the
upper troposphere over southern China around 25–30<inline-formula><mml:math id="M101" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 110–120<inline-formula><mml:math id="M102" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E (Fig. 5), where positive precipitation
and strong ascending motion anomalies are located (Figs. 2 and 6b).
Therefore, the divergence anomalies in the upper troposphere (Fig. 7a)
associated with positive precipitation and anomalous ascending motion
(Figs. 2 and 6a, b) play a crucial role in the formation of the strong negative
Rossby wave source over southern China, which excites the Rossby wave that
propagates to the downstream regions. This means that there is a positive
feedback process involving subtropical westerly jet waveguide rainfall over
southern China. The rainfall over southern China is largely caused by the
subtropical westerly jet waveguide (Li and Sun, 2015; Ding and Li, 2017; Li
et al., 2020), which would in turn strengthen vertical motion and high-level
divergence by an intensification of latent heat release, generating a Rossby
wave source, and hence strengthen the wave train along the subtropical
westerly jet. This process reinforces the Rossby wave that originated from
the North Atlantic. Wang et al. (2019) and An et al. (2020) found that such
waves can account for haze over the NCP. The ascending motion over southern
China that is related to the diabatic heating caused by the rainfall will be
examined further below.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8"><?xmltex \currentcnt{8}?><?xmltex \def\figurename{Figure}?><label>Figure 8</label><caption><p id="d1e2280">Composite <bold>(a)</bold> <inline-formula><mml:math id="M103" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> (shading, unit: K d<inline-formula><mml:math id="M104" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) and variance (dashed contours, unit: %) at
500 hPa for the 13 SR–NH events, and <bold>(b)</bold> for the composite vertical profile
of the average <inline-formula><mml:math id="M105" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> value over the domain 20–30<inline-formula><mml:math id="M106" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 110–120<inline-formula><mml:math id="M107" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E. Dotted white regions
indicate areas at the 95 % confidence level based on the two-tailed
Student <inline-formula><mml:math id="M108" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test.</p></caption>
        <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/22/725/2022/acp-22-725-2022-f08.png"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9"><?xmltex \currentcnt{9}?><?xmltex \def\figurename{Figure}?><label>Figure 9</label><caption><p id="d1e2357"><bold>(a)</bold> Heat forcing at 500 hPa (shading, unit: K d<inline-formula><mml:math id="M109" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)
and the steady response of wind at 300 hPa (vectors, unit: m s<inline-formula><mml:math id="M110" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) and <bold>(b)</bold> profile of the heat
forcing at the location marked by the blue star in Fig. 9a.</p></caption>
        <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/22/725/2022/acp-22-725-2022-f09.png"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F10"><?xmltex \currentcnt{10}?><?xmltex \def\figurename{Figure}?><label>Figure 10</label><caption><p id="d1e2397">As Fig. 6 except for the results from the LBM. For
clarity, <inline-formula><mml:math id="M111" display="inline"><mml:mi mathvariant="italic">ω</mml:mi></mml:math></inline-formula> is multiplied by <inline-formula><mml:math id="M112" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula>.</p></caption>
        <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/22/725/2022/acp-22-725-2022-f10.png"/>

      </fig>

      <?xmltex \floatpos{p}?><fig id="Ch1.F11" specific-use="star"><?xmltex \currentcnt{11}?><?xmltex \def\figurename{Figure}?><label>Figure 11</label><caption><p id="d1e2425"><bold>(a)</bold> Horizontal distribution of stream function (contours,
unit: 10<inline-formula><mml:math id="M113" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:math></inline-formula> m<inline-formula><mml:math id="M114" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M115" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) and relative vorticity (shading, unit:
10<inline-formula><mml:math id="M116" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> m<inline-formula><mml:math id="M117" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M118" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) at 200 hPa in the LBM. <bold>(b)</bold>
Latitude–height cross section of the stream function
(contour, unit: 10<inline-formula><mml:math id="M119" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:math></inline-formula> m<inline-formula><mml:math id="M120" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M121" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) and relative vorticity (shading, unit:
10<inline-formula><mml:math id="M122" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> m<inline-formula><mml:math id="M123" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M124" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) averaged over 112–120<inline-formula><mml:math id="M125" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E
in the LBM.</p></caption>
        <?xmltex \igopts{width=355.659449pt}?><graphic xlink:href="https://acp.copernicus.org/articles/22/725/2022/acp-22-725-2022-f11.png"/>

      </fig>

</sec>
<?pagebreak page731?><sec id="Ch1.S4">
  <label>4</label><title>Possible physical mechanisms driving SR–NH events: the role of
rainfall-induced diabatic heating</title>
      <p id="d1e2585">In the previous section, we presented a diagnostic analysis of the
atmospheric circulation during periods of haze over the NCP. We now focus on
the influence of circulation related to diabatic heating on haze formation
over the NCP. The composite sections show when precipitation occurred in
southern China, and that it was accompanied by a strong vertical ascending
motion (Fig. 6a, b). At the same time, the NCP was controlled by an obvious
descending motion (Fig. 6a, c), which was related to the ascending motion
over southern China and forms the local north–south circulation system
together with the ascending motion in southern China (Fig. 6a). The
descending motion over the NCP develops with the AANA as shown in Fig. 4b.
The divergent wind, as well as the velocity potential, also confirmed that
there was strong divergence near 200 hPa over southern China and strong
convergence in northern China (Fig. 7a). The latitude–height cross section
of the stream function and relative vorticity<?pagebreak page732?> shows that there was strong
convergence in the middle- to upper levels of the troposphere, but weak
divergence (strong convergence) at lower (higher) levels over the NCP (Fig. 7b),
and this was responsible for the descending motion and not conducive to
the diffusion of haze. The centers of the convergence and divergence over
southern China were the opposite to those over the NCP (Fig. 7b), which is
the typical circulation pattern that accompanied rainfall (Li and Sun,
2015). The ascending motion over southern China is not only related to the
subtropical westerly jet waveguide (Ding and Li, 2017) but may be also
related to the diabatic heating caused by the rainfall.</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F12" specific-use="star"><?xmltex \currentcnt{12}?><?xmltex \def\figurename{Figure}?><label>Figure 12</label><caption><p id="d1e2590">Composite QG decomposition for the 13 SR–NH events. Each
column shows a different level. From top to bottom, the rows show the
diabatic heating term
<inline-formula><mml:math id="M126" display="inline"><mml:mrow><mml:mfenced close=")" open="("><mml:mrow><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mi>R</mml:mi><mml:mrow><mml:msup><mml:mi mathvariant="normal">pf</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:mfrac></mml:mstyle><mml:msup><mml:mi mathvariant="normal">∇</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mi>Q</mml:mi></mml:mrow></mml:mfenced></mml:mrow></mml:math></inline-formula>, the dry forcing term
(<inline-formula><mml:math id="M127" display="inline"><mml:mrow><mml:mi>F</mml:mi><mml:mo>=</mml:mo><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mn mathvariant="normal">1</mml:mn><mml:mi>f</mml:mi></mml:mfrac></mml:mstyle><mml:msub><mml:mo>∂</mml:mo><mml:mi mathvariant="normal">p</mml:mi></mml:msub><mml:mi mathvariant="normal">Ad</mml:mi><mml:msub><mml:mi>v</mml:mi><mml:mrow><mml:mi mathvariant="italic">ζ</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/></mml:mrow></mml:msub><mml:mo>+</mml:mo><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mi>R</mml:mi><mml:mrow><mml:msup><mml:mi mathvariant="normal">pf</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:mfrac></mml:mstyle><mml:msup><mml:mi mathvariant="normal">∇</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mi mathvariant="normal">Ad</mml:mi><mml:msub><mml:mi>v</mml:mi><mml:mi>T</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>),
where <inline-formula><mml:math id="M128" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> is calculated using the Eq. (1), and <inline-formula><mml:math id="M129" display="inline"><mml:mi mathvariant="italic">ω</mml:mi></mml:math></inline-formula> (reanalysis data),
respectively. The unit of <inline-formula><mml:math id="M130" display="inline"><mml:mi mathvariant="italic">ω</mml:mi></mml:math></inline-formula> is Pa s<inline-formula><mml:math id="M131" 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 unit of
the <inline-formula><mml:math id="M132" display="inline"><mml:mi>F</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M133" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> terms is Pa<inline-formula><mml:math id="M134" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M135" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. For ease of viewing, and to reduce the
differences in scale, the <inline-formula><mml:math id="M136" display="inline"><mml:mi>F</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M137" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> terms, and <inline-formula><mml:math id="M138" display="inline"><mml:mi mathvariant="italic">ω</mml:mi></mml:math></inline-formula> were multiplied by <inline-formula><mml:math id="M139" display="inline"><mml:mrow><mml:mn mathvariant="normal">4</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">7</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M140" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.8</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">7</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>, and 4, respectively. Dotted white regions
indicate areas at the 95 % confidence level based on the two-tailed
Student <inline-formula><mml:math id="M141" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test.</p></caption>
        <?xmltex \igopts{width=355.659449pt}?><graphic xlink:href="https://acp.copernicus.org/articles/22/725/2022/acp-22-725-2022-f12.png"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F13" specific-use="star"><?xmltex \currentcnt{13}?><?xmltex \def\figurename{Figure}?><label>Figure 13</label><caption><p id="d1e2813">Schematic representation of the impact of heavy rainfall
over southern China on haze production over the NCP.</p></caption>
        <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://acp.copernicus.org/articles/22/725/2022/acp-22-725-2022-f13.png"/>

      </fig>

      <p id="d1e2823">The diabatic heating in the atmosphere caused by precipitation may intensify
the local ascending motion (Wang et al., 2019; Xu et. al., 2020). To
estimate the diabatic heating produced by rainfall extremes in southern
China, we calculated <inline-formula><mml:math id="M142" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> quantities using Eq. (3) as described above.
Figure 8 shows the composite <inline-formula><mml:math id="M143" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> during the period of heavy rainfall in
southern China. An obviously positive <inline-formula><mml:math id="M144" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> appears in southern China when
rainfall occurs, with the maximum value of <inline-formula><mml:math id="M145" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> near 26<inline-formula><mml:math id="M146" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N,
115<inline-formula><mml:math id="M147" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E (Fig. 8a). Shortwave radiation from the Sun rarely reaches
the lower troposphere during rainfall because it is blocked by the clouds;
therefore, a positive value for <inline-formula><mml:math id="M148" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> indicates the rainfall process may
release large amounts of heat. To investigate the vertical distribution of
Q<inline-formula><mml:math id="M149" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:math></inline-formula>, we calculated the average value of <inline-formula><mml:math id="M150" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> value between 1000 and
100 hPa over the domain 20–30<inline-formula><mml:math id="M151" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 110–120<inline-formula><mml:math id="M152" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E. Figure 9b
shows that the maximum value of <inline-formula><mml:math id="M153" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> (2.6 K d<inline-formula><mml:math id="M154" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) occurred at 500 hPa (Fig. 8b). The results shown in Fig. 9a also
confirm that the rainfall acts as a heat source. Analyzing the distribution
of <inline-formula><mml:math id="M155" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> may help to identify the specific heating processes that are
occurring in the atmosphere (Yanai et al., 1973). The above analysis
corroborates that the rainfall process does release a lot of heat, which may
further encourage ascending motion.</p>
      <p id="d1e2973">To further validate the above-mentioned rainfall–heating
circulation, a numerical experiment was conducted. The results outlined
above indicate that the local north–south circulation system seems to be
closely associated with the diabatic heating over southern China. Using the
LBM, we performed a numerical simulation to complement the observational
results and test the plausibility of the proposed haze–rainfall
link. This numerical experiment simulated the atmospheric response to heat
forcing induced by heavy rainfall in southern China (Fig. 9a). The
experiment was run with diabatic heating centered over southern China
(26<inline-formula><mml:math id="M156" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 115<inline-formula><mml:math id="M157" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E), which essentially matched the maximum
value and variance of <inline-formula><mml:math id="M158" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, and the heavy rainfall located as shown in
Fig. 8a. The maximum heating, with an amplitude of 2 K d<inline-formula><mml:math id="M159" 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>, was set
at 500 hPa (Fig. 9b). Figure 9 illustrates the 300 hPa wind
response to the diabatic heating over southern China. An obvious divergence
in the wind vectors occurs over eastern China. The whole layer is divergent,
which means that diabatic heating is conducive to upward motion, and the
airflow diffuses northwards at 200 hPa.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F14"><?xmltex \currentcnt{14}?><?xmltex \def\figurename{Figure}?><label>Figure 14</label><caption><p id="d1e3019">As Fig. 4 but for the six south
rainfall–no north haze (SR–noNH) events in
Table 2.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://acp.copernicus.org/articles/22/725/2022/acp-22-725-2022-f14.png"/>

      </fig>

      <p id="d1e3028">The local north–south circulation system simulated by the LBM is similar
to the observed spatial pattern of the local north–south circulation
system (Figs. 6 and 10), both of which are broadly similar to the results
obtained by An et al. (2020). As depicted in Fig. 11b, the upper-level
negative and low-level positive relative vorticity over southern China
(20–30<inline-formula><mml:math id="M160" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N) indicates that the atmosphere is strongly
baroclinic, with an anticyclonic circulation in the upper levels and a
cyclonic circulation at lower levels over southern China. The direct product
of this circulation is strong ascending motion over southern China.
Meanwhile, upper-level convergence and low-level weak divergence over the
NCP support descending motion there, which is conducive to haze. In
addition, at 200 hPa, the positive relative vorticity located over the NCP
reinforces the AANA (Fig. 11a). In summary, this LBM experiment further
confirms that the circulation related to the rainfall over southern China
plays an obvious assisting role in maintaining haze over the NCP.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F15" specific-use="star"><?xmltex \currentcnt{15}?><?xmltex \def\figurename{Figure}?><label>Figure 15</label><caption><p id="d1e3042">Composite PM<inline-formula><mml:math id="M161" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> concentration for
the six SR–noNH events in Table 2 at <bold>(a)</bold> <inline-formula><mml:math id="M162" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:math></inline-formula>, <bold>(b)</bold>
<inline-formula><mml:math id="M163" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:math></inline-formula>, <bold>(c)</bold> <inline-formula><mml:math id="M164" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula>, <bold>(d)</bold> <inline-formula><mml:math id="M165" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula>, <bold>(e)</bold> <inline-formula><mml:math id="M166" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula>, <bold>(f)</bold>
<inline-formula><mml:math id="M167" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula>, <bold>(g)</bold> <inline-formula><mml:math id="M168" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula>, and <bold>(h)</bold> 0 d.</p></caption>
        <?xmltex \igopts{width=483.69685pt}?><graphic xlink:href="https://acp.copernicus.org/articles/22/725/2022/acp-22-725-2022-f15.png"/>

      </fig>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2" specific-use="star"><?xmltex \currentcnt{2}?><label>Table 2</label><caption><p id="d1e3160">Start and end dates, and duration, of each SR–noNH event.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="6">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="left"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">No.</oasis:entry>
         <oasis:entry colname="col2">Start and end dates</oasis:entry>
         <oasis:entry colname="col3">Duration</oasis:entry>
         <oasis:entry colname="col4">No.</oasis:entry>
         <oasis:entry colname="col5">Start and end dates</oasis:entry>
         <oasis:entry colname="col6">Duration</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">(days)</oasis:entry>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5"/>
         <oasis:entry colname="col6">(days)</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">1</oasis:entry>
         <oasis:entry colname="col2">15–19 February 1985</oasis:entry>
         <oasis:entry colname="col3">5</oasis:entry>
         <oasis:entry colname="col4">4</oasis:entry>
         <oasis:entry colname="col5">24–28 February 2001</oasis:entry>
         <oasis:entry colname="col6">3</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">2</oasis:entry>
         <oasis:entry colname="col2">16–18 February 1998</oasis:entry>
         <oasis:entry colname="col3">6</oasis:entry>
         <oasis:entry colname="col4">5</oasis:entry>
         <oasis:entry colname="col5">25 January–2 February 2008</oasis:entry>
         <oasis:entry colname="col6">10</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">3</oasis:entry>
         <oasis:entry colname="col2">24–26 January 2001</oasis:entry>
         <oasis:entry colname="col3">3</oasis:entry>
         <oasis:entry colname="col4">6</oasis:entry>
         <oasis:entry colname="col5">21–23 January 2010</oasis:entry>
         <oasis:entry colname="col6">6</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d1e3293">From our earlier discussion, it is clear that the diabatic heat released by
rainfall over southern China has a significant effect on the ascending
motion, except for large-scale circulation background; i.e., the
subtropical westerly jet waveguide and south branch trough suggested by Li
and Sun (2015). However, a crucial issue that remains to be addressed is
which contributes more to the vertical movement. In reality, in a moist
atmosphere, the vertical motion depends not only on dynamic forcing by
large-scale perturbations but also on the driving by the latent heating
released from convection (Nie et al., 2020). To quantify the contribution of
vertical motion due to rainfall heating, we calculated the components of the
<inline-formula><mml:math id="M169" display="inline"><mml:mi mathvariant="italic">ω</mml:mi></mml:math></inline-formula> equation as described in Eq. (4). First, we find that negative
(positive) <inline-formula><mml:math id="M170" display="inline"><mml:mi mathvariant="italic">ω</mml:mi></mml:math></inline-formula> values occur mainly over southern China (the NCP), which
indicates that southern China is controlled by ascending (descending) motion
(Fig. 12). Both the ascending motion over southern China and the descending
motion over the NCP are strongest at 500 hPa (Fig. 12). The top panel in
Fig. 12 presents the diabatic heating term, which is in agreement with that
of <inline-formula><mml:math id="M171" display="inline"><mml:mi mathvariant="italic">ω</mml:mi></mml:math></inline-formula>, especially in the mid–high levels of the troposphere (i.e., 300 and
500 hPa), whereas the dry dynamic forcing term (middle panel in Fig. 12)
clearly differs from <inline-formula><mml:math id="M172" display="inline"><mml:mi mathvariant="italic">ω</mml:mi></mml:math></inline-formula>, and its values in the lower level of troposphere
(below 700 hPa) are very weak and unlikely to be responsible for enhancing
vertical motion (Fig. 12). This means that the strengthened ascending motion
caused by the subtropical westerly jet waveguide enhances the production of
rainfall over southern China, resulting in increased diabatic heating, which
in turn reinforces the ascending motion and hence forms a positive feedback
that links the diabatic heating to the ascending motion when there is a
plentiful supply of moisture. The above analysis again confirms that
diabatic heating related to rainfall plays a crucial role in the ascending
motion over southern China, which in turn maintains the local north–south
circulation system, leading to a shallow atmospheric boundary layer height,
finally aggravates the haze pollution over the NCP (not shown).</p>
</sec>
<?pagebreak page734?><sec id="Ch1.S5" sec-type="conclusions">
  <label>5</label><title>Discussion and conclusions</title>
      <p id="d1e3332">Our study investigated the mechanisms associated with production over the
NCP related to rainfall heating over southern China based on a combination
of observational composites and model results. We found that the appearance
of some haze events over the NCP is the product of the circulation
associated with rainfall over southern China in conjunction with two wave
trains along the subtropical westerly jet and polar front jet waveguides.
The extreme rainfall events over southern China analyzed in this study were
caused mainly by the subtropical westerly jet waveguide (Li and Sun, 2015;
Ding and Li, 2017) and the diabatic heat related to it induces the
secondary circulation (referred to as the local north–south circulation
system in this paper). On the one hand, this heating strengthens the
ascending motion over southern China and the descending motion over the NCP
(Fig. 13). On the other hand, this heating stimulates the wave train as the
Rossby wave source and strengthens the background subtropical westerly jet
wave train. These changes eventually lead to the strengthening of the
anomalous anticyclone in northeast Asia, resulting in the strong descending
movement, weak northerly wind, and warm and moisture-laden flow over the
NCP. As a consequence, heavy haze is maintained over the NCP.</p>
      <p id="d1e3335">When the AANA over the NCP moves a little to the east (Fig. 14b), heavy
rainfall also occurs in southern China and triggers a similar the local
north–south circulation system (not shown), but there is then no haze
(i.e., visibility was <inline-formula><mml:math id="M173" display="inline"><mml:mrow><mml:mi mathvariant="italic">&gt;</mml:mi><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> km) over the NCP (i.e., a SR–noNH
event). This implies that the AANA is one of the important factors in the
occurrence of severe haze events over the NCP (Fig. 4), and this agrees with
the results of Chen et al. (2020) and An et al. (2020). In addition,
PM<inline-formula><mml:math id="M174" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> concentrations were lower (most areas below 120 <inline-formula><mml:math id="M175" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g m<inline-formula><mml:math id="M176" 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>) in
the first 7 d during nine SR–noNH events (Fig. 15). This implies
that emissions are the source of haze over the NCP, and meteorological
factors worsen haze (e.g., Wang et al., 2015; Stirnberg et al., 2021). The
shortcoming of this study is that there are not many samples (i.e., only 19
samples in present results), and further analysis might be needed from more
samples in the future. A comprehensive understanding of why there is no haze
in the<?pagebreak page735?> NCP despite some rainfall in southern China (six SR–noNH events) also
needs to be added in the future.</p>
      <p id="d1e3377">In addition to rainfall over southern China associated with the subtropical
westerly jet waveguide, rainfall is also associated with ENSO (Ma et al.,
2018). Therefore, ENSO may also be, except for the westerly jet waveguide,
another potential factor in haze production over the NCP and rainfall over
southern China. For instance, there has been rainfall over southern China
and haze over the NCP during El Niño years (i.e., 1988, 1992, 2007, and
2015). The present study does not consider the role of ENSO with respect to
rainfall over southern China and haze over the NCP, but this will be the
focus of future work. The complex interconnections among atmospheric systems
make it difficult to determine whether any single factor is the dominant
control on haze production over the NCP, and it is possible that the
synergistic effects of many influencing factors may play a more important
role in the occurrence of haze. As mentioned in the introduction, there are
many meteorological factors that play an important role in haze production
in northern China. Previous in-depth studies have considered various aspects
of the formation mechanisms of haze in northern China; i.e., ENSO (Yu et
al., 2020; Zhang et al., 2020), the Arctic Oscillation (Cai et al., 2017),
and Arctic sea ice (Yin et al., 2019a, b; Li and Yin, 2020). However,
whether such factors have a synergistic effect on haze production (e.g.,
Arctic sea ice and the tropical ocean) has not been considered here but
would be a worthwhile focus for a future study.</p>
</sec>

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

      <p id="d1e3384">The visibility observational data are available from the China Meteorological
Administration (<uri>http://data.cma.cn/</uri>, CMA, 2017), the reanalysis dataset is
available at NCEP/NCAR (<uri>https://www.esrl.noaa.gov/psd/data/gridded/</uri>,
NCEP/NCAR, 2020), and the daily PM<inline-formula><mml:math id="M177" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> concentration dataset for China
for the period 1980–2019 is available at
<ext-link xlink:href="https://doi.org/10.5281/zenodo.4293239" ext-link-type="DOI">10.5281/zenodo.4293239</ext-link> (Yang, 2020).</p>
  </notes><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e3408">XA, LS, and LC designed the experiments and carried them out. XD and YL
developed the model code and performed the simulations. XA downloaded and
analyzed the reanalysis data and prepared all the figures. XD prepared the
manuscript with contributions from all co-authors. LS, WC, and JH revised
the manuscript.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e3414">The contact author has declared that neither they nor their co-authors have any competing interests.</p>
  </notes><notes notes-type="disclaimer"><title>Disclaimer</title>

      <p id="d1e3420">Publisher’s note: Copernicus Publications remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e3426">This research was supported by the National Natural Science Foundation of China (grant no. 41975008), Fundamental Research Funds for the Central Universities (grant no. 201961004), and National Key R&amp;D Program of China (grant no. 2019YFA0607002). All the authors are very grateful to the
China Meteorological Administration (<uri>http://data.cma.cn/</uri>, last access: 12
November 2017) and NCEP/NCAR (<uri>https://www.esrl.noaa.gov/psd/data/gridded/</uri>,
last access: 20 December 2020) for data used in this study.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e3437">This research has been supported by the National Natural Science
Foundation of China (grant no. 41975008), the Fundamental Research Funds for the  Central Universities (grant no. 201961004), and the National Key R&amp;D Program of China (grant no. 2019YFA0607002).</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e3443">This paper was edited by Peter Haynes and reviewed by two anonymous referees.</p>
  </notes><ref-list>
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