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  <front>
    <journal-meta><journal-id journal-id-type="publisher">ANGEO</journal-id><journal-title-group>
    <journal-title>Annales Geophysicae</journal-title>
    <abbrev-journal-title abbrev-type="publisher">ANGEO</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Ann. Geophys.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1432-0576</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/angeo-37-673-2019</article-id><title-group><article-title>A case study of the large-scale traveling ionospheric<?xmltex \hack{\break}?> disturbances in the eastern Asian sector during the<?xmltex \hack{\break}?> 2015 St. Patrick's Day geomagnetic storm</article-title><alt-title>A case study of the large-scale traveling ionospheric disturbances</alt-title>
      </title-group><?xmltex \runningtitle{A case study of the large-scale traveling ionospheric disturbances}?><?xmltex \runningauthor{J. Liu et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Liu</surname><given-names>Jing</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-6401-6237</ext-link></contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Zhang</surname><given-names>Dong-He</given-names></name>
          <email>zhangdh@pku.edu.cn</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Coster</surname><given-names>Anthea J.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-8980-6550</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Zhang</surname><given-names>Shun-Rong</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-1946-3166</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Ma</surname><given-names>Guan-Yi</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Hao</surname><given-names>Yong-Qiang</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-0073-7198</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Xiao</surname><given-names>Zuo</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Department of Geophysics, Peking University, Beijing 100871, China</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>MIT Haystack Observatory, Westford, Massachusetts, USA</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>National Astronomical Observatories, Chinese Academy of Sciences,
Beijing 100101, China</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Dong-He Zhang (zhangdh@pku.edu.cn)</corresp></author-notes><pub-date><day>5</day><month>August</month><year>2019</year></pub-date>
      
      <volume>37</volume>
      <issue>4</issue>
      <fpage>673</fpage><lpage>687</lpage>
      <history>
        <date date-type="received"><day>22</day><month>April</month><year>2019</year></date>
           <date date-type="rev-request"><day>29</day><month>April</month><year>2019</year></date>
           <date date-type="rev-recd"><day>3</day><month>July</month><year>2019</year></date>
           <date date-type="accepted"><day>3</day><month>July</month><year>2019</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2019 </copyright-statement>
        <copyright-year>2019</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://angeo.copernicus.org/articles/.html">This article is available from https://angeo.copernicus.org/articles/.html</self-uri><self-uri xlink:href="https://angeo.copernicus.org/articles/.pdf">The full text article is available as a PDF file from https://angeo.copernicus.org/articles/.pdf</self-uri>
      <abstract><title>Abstract</title>
    <p id="d1e152">This study presents a comprehensive observation of the large-scale traveling
ionospheric disturbances (LSTIDs) in the eastern Asian sector during the 2015
St. Patrick's Day (17 March 2015) geomagnetic storm. For the first time, three
dense networks of GPS receivers in China and Japan are combined together to
obtain the two-dimensional (2-D) vertical total electron content (VTEC)
perturbation maps in a wider longitudinal range than previous studies in
this region. Results show that an LSTID spanning at least 60<inline-formula><mml:math id="M1" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> in longitude
(80–140<inline-formula><mml:math id="M2" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) occurs as a result of possible atmospheric gravity waves (AGWs)
propagating from high to lower latitudes at around 09:40–11:40 UT (universal time), and the
crest of this LSTID shows a tendency of dissipation starting from the eastern
side. The manifestation of the 2-D VTEC perturbation maps is in good
agreement with the recordings from two high-frequency Doppler sounders and the
iso-frequency lines from eight ionosondes. Then, the propagation parameters of
the LSTIDs are estimated by applying least-square fitting methods to the
distinct structures in the 2-D VTEC perturbation plots. In general, the
propagation parameters are observably longitudinally dependent. For example,
the propagation direction is almost due southward between 105 and 115<inline-formula><mml:math id="M3" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, while it is slightly southwest and southeast in the western and eastern
sides of this region. This feature is probably related to the regional
geomagnetic declination. The mean values of the period, trough velocity
(<inline-formula><mml:math id="M4" display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">t</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>), crest velocity (<inline-formula><mml:math id="M5" display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">c</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>), and wavelength of the LSTIDs in the studied
longitudinal bands are <inline-formula><mml:math id="M6" display="inline"><mml:mrow><mml:mn mathvariant="normal">74.8</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.4</mml:mn></mml:mrow></mml:math></inline-formula> min, <inline-formula><mml:math id="M7" display="inline"><mml:mrow><mml:mn mathvariant="normal">578</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">16</mml:mn></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math id="M8" 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>,
<inline-formula><mml:math id="M9" display="inline"><mml:mrow><mml:mn mathvariant="normal">617</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">23</mml:mn></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math id="M10" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, and <inline-formula><mml:math id="M11" display="inline"><mml:mrow><mml:mn mathvariant="normal">2691</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">80</mml:mn></mml:mrow></mml:math></inline-formula> km, respectively. Finally, using the
VTEC map data from the Madrigal database of the MIT Haystack Observatory,
the characteristics of the ionospheric disturbances over the European sector
(30–70<inline-formula><mml:math id="M12" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 10–20<inline-formula><mml:math id="M13" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) are also
studied. The results are very different from those in the eastern Asian sector
in parameters like the occurrence time, oscillation period, and propagation
velocities.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e305">During the geomagnetic storm, the solar wind energy is impulsively or
continually injected into the earth polar region, making the atmospheric
and ionospheric states deviate greatly from their background levels
(Fuller-Rowell et al., 1994; Mendillo and Narvaez, 2009). In general, the response of the ionosphere to
the geomagnetic storm is classified by a variety of different features, one
of which being the large-scale traveling ionospheric disturbance (LSTID) that
is the wave-like perturbation mainly propagating equatorward from high
latitudes. Traveling ionospheric disturbances (TIDs) are classified into
LSTIDs and medium-scale TIDs, and they are considered to be the ionospheric
manifestation of the presence of atmospheric gravity waves (AGWs) stimulated
by different sources. LSTIDs are mainly caused by joule heating or
Lorenz drag forcing in the auroral regions during a geomagnetic storm period
(Hines, 1960; Richmond and Roble, 1979; Hocke and Schlegel, 1996).</p>
      <?pagebreak page674?><p id="d1e308"><?xmltex \hack{\newpage}?>In earlier years, the acquisition of the continuous evolution of LSTIDs on a
global scale was limited by the availability of the ionospheric
observations. In order to obtain the propagation characteristics of LSTIDs,
researchers needed to organize their findings from limited ionospheric
observations, for example, the <italic>fo</italic>F2 data from sparsely distributed
ionosondes. In the 1980s, the GPS (Global Positioning System) method was
introduced into the ionospheric study (Klobuchar, 1986; Lanyi and Roth,
1988; Coster and Gaposchkin, 1989). With the dense and worldwide distributed
GPS receivers, some characteristic ionospheric phenomena, like TIDs (Saito et al., 1998; Tsugawa et al., 2004;
Ding et al., 2007), ionospheric storms (Ho et al., 1996), and ionospheric
responses to solar flares (Afraimovich, 2000; Zhang and Xiao, 2005), were
revisited frequently and new results were obtained.</p>
      <p id="d1e315">The propagation characteristics of LSTIDs are always topics of great
research interest (Hunsucker, 1982; Ho et al., 1996; Balthazor and Moffett,
1999; Afraimovich et al., 1998, 2000; Shiokawa et al., 2002; Tsugawa et al.,
2003, 2004; Ding et al., 2008, 2014; Borries et al., 2009, 2017; Habarulema
et al., 2015, 2016, 2018; Zakharenkova et al., 2016; Figueiredo et al., 2017;
Pederick et al., 2017; Cherniak and Zakharenkova, 2018; Lyons et al., 2019). Based on
limited GPS stations measurements, Afraimovich et al. (1998) proposed a
radio interferometry method to roughly estimate horizontal propagation
velocities and phase front angles of TIDs. Furthermore, the worldwide or local
dense distribution of the GPS receivers networks facilitates the acquisition
of the global or regional total electron content (TEC) perturbation maps with high spatial and
temporal resolutions to reveal the detailed propagating characteristics of
TIDs (Ho et al., 1996; Saito et al., 1998; Tsugawa et al., 2004; Borries et
al., 2009; Ding et al., 2012). With more than 60 GPS receivers distributed
worldwide, Ho et al. (1996) studied the global distribution of TEC
perturbations during a magnetic storm. They identified a TID propagating
from the northern sub-auroral region to lower latitudes at a speed of about
460 m s<inline-formula><mml:math id="M14" 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 GPS Earth Observation Network (GEONET) in Japan is one of the
densest GPS receiver networks on the Earth, and two-dimensional (2-D) TEC
perturbations over Japan can be mapped with the GEONET observations. With
these high-resolution TEC perturbation maps, the spatial structures and
temporal evolutions of a TID in the nighttime midlatitude ionosphere over
Japan were revealed clearly (Saito et al., 1998). Since then, with this
dense GPS network, the characteristics of LSTIDs over Japan are carefully
studied through case and statistical analysis, and some propagation features
of TIDs in this region are revealed (Saito et al., 2001; Shiokawa et al.,
2002; Tsugawa et al., 2003, 2004, 2006).</p>
      <p id="d1e330">For the LSTID with scales of thousands of kilometers, the extensive spatial
coverage of ionospheric observations is undoubtedly useful for capturing its
propagation features. In recent years, the GPS data from densely distributed
GPS stations in China were used to study LSTIDs in this region (Ding et al.,
2012, 2013, 2014; Song et al., 2013). Based on the GPS data from the Crustal
Movement Observation Network of China (CMONOC), Ding et al. (2012) obtained
temporal continuous 2-D imaging of ionospheric disturbances during the
geomagnetic storm on 28 May 2011 and found two LSTIDs moving southwestward
with the front width of at least 1600 km during different storm stages. In
addition, through the comparative climatological study of LSTIDs over North
America and China, the different time dependencies of LSTID occurrence over
two longitudinal sectors were revealed statistically (Ding et al., 2014).
These studies further emphasize the effectiveness of the large-coverage,
high-resolution ionospheric observations from GPS networks in revealing the
structures of the ionospheric disturbances.</p>
      <p id="d1e334">The propagating direction of the LSTID during the geomagnetic storm has
always been focused on for the LSTID studies. From case and statistical
studies about LSTIDs during geomagnetic storms over the eastern Asia region
conducted by Chinese and Japanese scientists independently, the dominant
propagating direction of LSTID in China and Japan is a little different. It
mainly propagates southwest in the Chinese region (Ding et al., 2014),
while it mainly propagates southeast in the Japanese region (Tsugawa et
al., 2004). Although the geomagnetic declination is considered to be one of
the main factors responsible for the propagation direction of LSTID
based on different LSTID studies, the LSTID studies concerning the same
geomagnetic storm using both Chinese and Japanese GPS networks together have
not been reported yet.</p>
      <p id="d1e337">During the period of 17–18 March 2015, the strongest geomagnetic storm in
the 24th solar cycle occurred, and LSTIDs were detected and analyzed in
different longitudinal sectors (Ramsingh et al., 2015; Borries et al., 2016;
Zakharenkova et al., 2016; Habarulema et al., 2018). Meanwhile, two high-frequency (HF) Doppler sounders in Chinese midlatitudes operated by the China
Meridional Project (Wang, 2010) recorded large ionospheric HF Doppler shifts
after 10:00 UT (universal time), which seem to indicate the LSTIDs in the Asian region
between 09:00 and 12:00 UT that were reported by Habarulema et al. (2018). In this
study, the multi-network of densely distributed GPS receivers, the HF
Doppler sounder stations, and an ionosonde network are used to conduct a
more comprehensive study on the propagating characteristics of the
disturbances in the eastern Asian region, especially on the characteristics of
the dominant propagating direction over China and Japan.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Data and methods</title>
      <p id="d1e348">Figure 1 illustrates the locations of ground-based receivers used in this
study from four Global Navigation Satellite Systems (GNSS) networks,
distinguished by colors. They are the Chinese Meteorological GNSS Network
(CMGN), CMONOC, GEONET, and International GNSS Service<?pagebreak page675?> (IGS). These
receivers are selected through data quality checking and regional
restriction (10–60<inline-formula><mml:math id="M15" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 70–150<inline-formula><mml:math id="M16" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E), and the numbers of used stations are
259, 220, 1300, and 31 for CMGN, CMONOC, GEONET, and IGS, respectively. The
sample rate of all GPS data is 30 s. Combining the carrier phase and
pseudo-range measurements in two L-band frequencies of GPS, the vertical TEC
(VTEC) can be obtained. In the calculation, the height of the ionospheric
thin shell is set to be 400 km, and the cutoff elevation angle is 30<inline-formula><mml:math id="M17" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>. The detailed process of the TEC calculation from GPS data can be
found in our previous studies (Zhang et al., 2009, 2010).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1"><?xmltex \currentcnt{1}?><label>Figure 1</label><caption><p id="d1e380">Locations of the GPS stations of different networks (colored
dots), the HF Doppler sounder stations (green stars), the National Time
Service Center of China (gray stars), and the ionosonde stations (green
triangles) that are used in this study.</p></caption>
        <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://angeo.copernicus.org/articles/37/673/2019/angeo-37-673-2019-f01.png"/>

      </fig>

      <p id="d1e389">Different methods were used for extracting the TEC perturbations related to
LSTIDs in previous research (Wan et al., 1997; Afraimovich et al., 2000;
Shiokawa et al., 2002; Nicolls et al., 2004; Tsugawa et al., 2004; Ding et
al., 2007). Afraimovich et al. (2000) suggested that the LSTID
characteristics in TEC can be determined by removing the trend with three- to five-order polynomials, which is introduced by the motion of satellites and
background variations in ionosphere. For a similar purpose, Shiokawa et al. (2002) subtracted a running average of TEC over 1 h from the raw TEC, and
a series of 2-D TEC perturbation maps was obtained with more than 1000 GPS
receivers in Japan. Ding et al. (2007) developed another method of obtaining
the 2-D TEC perturbation maps by expressing the VTEC as a one-order function
of local time and latitude. According to their argument, this method is
sufficient for removing background trends for continuous observation of a GPS
receiver–satellite pair without introducing artificial perturbations. After
comparing the results of these methods, a method similar to Ding et al. (2007) is conducted in this study in which the VTEC is treated as a
function of UT, longitude (Long), and latitude (Lat), i.e.,

              <disp-formula specific-use="gather" content-type="numbered"><mml:math id="M18" display="block"><mml:mtable displaystyle="true"><mml:mlabeledtr id="Ch1.E1"><mml:mtd><mml:mtext>1</mml:mtext></mml:mtd><mml:mtd><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:msub><mml:mi mathvariant="normal">VTEC</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>+</mml:mo><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub><mml:mi mathvariant="normal">UT</mml:mi><mml:mo>+</mml:mo><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">Long</mml:mi><mml:mo>+</mml:mo><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mi mathvariant="normal">Lat</mml:mi><mml:mo>,</mml:mo></mml:mrow></mml:mtd></mml:mlabeledtr><mml:mlabeledtr id="Ch1.E2"><mml:mtd><mml:mtext>2</mml:mtext></mml:mtd><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:mi mathvariant="normal">VTECP</mml:mi><mml:mo>=</mml:mo><mml:mi mathvariant="normal">VTEC</mml:mi><mml:mo>-</mml:mo><mml:msub><mml:mi mathvariant="normal">VTEC</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>,</mml:mo></mml:mrow></mml:mtd></mml:mlabeledtr></mml:mtable></mml:math></disp-formula>

          in which VTEC<inline-formula><mml:math id="M19" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:math></inline-formula> is the background change and VTECP is VTEC perturbation.
Then, the obtained VTECP data are reorganized into pixels which are bounded
by 10–60<inline-formula><mml:math id="M20" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 70–150<inline-formula><mml:math id="M21" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, and with a spatiotemporal resolution of
1<inline-formula><mml:math id="M22" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> longitude <inline-formula><mml:math id="M23" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 1<inline-formula><mml:math id="M24" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> latitude <inline-formula><mml:math id="M25" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10 min. The pixel value is the average of all VTECPs in this pixel. After
these steps, the featured ionospheric disturbances are expected to appear in
a series of 2-D VTECP maps.</p>
      <p id="d1e530">As a comparison, the VTEC map from the Madrigal database of the MIT Haystack
Observatory is used to reveal the ionospheric disturbances in the European
sector (30–70<inline-formula><mml:math id="M26" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 10–20<inline-formula><mml:math id="M27" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E). This database provides worldwide VTEC
values in 1<inline-formula><mml:math id="M28" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> latitude <inline-formula><mml:math id="M29" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 1<inline-formula><mml:math id="M30" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> longitude pixels
with a temporal resolution of 5 min (Rideout and Coster, 2006) and has
good data coverage in the European sector. VTEC maps with such a high
spatiotemporal resolution are suitable for revealing the structures of traveling
ionospheric disturbances (Zhang et al., 2017).</p>
      <p id="d1e576">The Doppler shift data observed at two HF Doppler sounder stations in China
are collected, which are MDT (40.4<inline-formula><mml:math id="M31" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 116.9<inline-formula><mml:math id="M32" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) and SZT
(22.6<inline-formula><mml:math id="M33" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 114.1<inline-formula><mml:math id="M34" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E). The sounding system continuously
receives electromagnetic waves with a stabilized frequency of 10 MHz
transmitted by the National Time Service Center (NTSC; 35.7<inline-formula><mml:math id="M35" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N,
109.6<inline-formula><mml:math id="M36" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) to detect the ionospheric disturbances through the
Doppler shifts of this standard frequency. These shifts are considered to be
caused by ionospheric variations, mainly around the reflecting point of the
electromagnetic wave in the ionosphere. According to the geometrical
relationships, the locations of the reflecting point for MDT and SZT are
38.0<inline-formula><mml:math id="M37" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 113.2<inline-formula><mml:math id="M38" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, and 29.2<inline-formula><mml:math id="M39" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 111.8<inline-formula><mml:math id="M40" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, respectively. These stations are marked in Fig. 1
with colored stars.</p>
      <p id="d1e670">In this study, ionograms from eight ionosonde stations in Chinese middle
latitudes are used to derive the iso-frequency lines, which vary as a
function of universal time and virtual height. The sample rate of the
ionograms is 15 min. These ionosondes belong to the China Research
Institute of Radio Wave Propagation (CRIRP), and their locations are marked
with green triangles in Fig. 1. The virtual height data are manually scaled
by us from these ionograms, with professional scaling software
provided by CRIRP to reduce possible errors of auto-scaling (Krankowski et
al., 2011; Habarulema and Carelse, 2016). During the scaling, we limited the
frequency to less than 7 MHz. In addition, the space environment data for
this event are from OMNI dataset, which is downloaded from the FTP service of
the NASA Goddard Space Flight Center.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><?xmltex \currentcnt{2}?><label>Figure 2</label><caption><p id="d1e675">Temporal variations in <bold>(a)</bold> the solar wind speed (<inline-formula><mml:math id="M41" display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">sw</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>), <bold>(b)</bold> the IMF
<inline-formula><mml:math id="M42" display="inline"><mml:mrow><mml:msub><mml:mi>B</mml:mi><mml:mi>z</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> component, <bold>(c)</bold> the SYM-H index, and <bold>(d)</bold> the AE index between 18:00 UT, 16 March 2015, and 06:00 UT, 18 March 2015. The occurrence of SSC is shown with
vertical dashed lines.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://angeo.copernicus.org/articles/37/673/2019/angeo-37-673-2019-f02.png"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><?xmltex \currentcnt{3}?><label>Figure 3</label><caption><p id="d1e721">Temporal variations in the HF Doppler shift records from <bold>(a)</bold> MDT
and <bold>(b)</bold> SZT between 08:00 and 14:00 UT, 17 March 2015.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://angeo.copernicus.org/articles/37/673/2019/angeo-37-673-2019-f03.png"/>

      </fig>

<?xmltex \hack{\newpage}?>
</sec>
<?pagebreak page676?><sec id="Ch1.S3">
  <label>3</label><title>Results</title>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>Observations</title>
      <?pagebreak page677?><p id="d1e753">Figure 2 shows the variations in solar wind speed (Fig. 2a), the interplanetary
magnetic field (IMF) <inline-formula><mml:math id="M43" display="inline"><mml:mrow><mml:msub><mml:mi>B</mml:mi><mml:mi>z</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> component (Fig. 2b), the SYM-H index (Fig. 2c), and  the AE
index from the OMNI dataset (Fig. 2d), and the time range is from 18:00 UT, 16 March 2015, to 06:00 UT, 18 March 2015. It should be noted that the solar wind
magnetic field and plasma data are time shifted to the bow shock nose to
better support the studies of coupling between the solar wind and magnetosphere. It can be seen
clearly that a geomagnetic storm occurred on 17 March 2015, with the sudden
storm commencement (SSC) at <inline-formula><mml:math id="M44" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 04:45 UT, which is characterized
by a sharp increase (marked with vertical dashed lines) in the solar wind
speed, <inline-formula><mml:math id="M45" display="inline"><mml:mrow><mml:msub><mml:mi>B</mml:mi><mml:mi>z</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, and SYM-H index. The main phase of the storm can be roughly
divided into two stages. The first stage is from <inline-formula><mml:math id="M46" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 06:00 UT,
when the IMF <inline-formula><mml:math id="M47" display="inline"><mml:mrow><mml:msub><mml:mi>B</mml:mi><mml:mi>z</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> component first turns southward, to <inline-formula><mml:math id="M48" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 12:00 UT, when the <inline-formula><mml:math id="M49" display="inline"><mml:mrow><mml:msub><mml:mi>B</mml:mi><mml:mi>z</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> turns southward again after turning back northward for about 2 h. After <inline-formula><mml:math id="M50" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 12:00 UT, the <inline-formula><mml:math id="M51" display="inline"><mml:mrow><mml:msub><mml:mi>B</mml:mi><mml:mi>z</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is southward for most of the
time until it enters the recovery phase. The SYM-H and AE indices show a
similar two-stage feature as the <inline-formula><mml:math id="M52" display="inline"><mml:mrow><mml:msub><mml:mi>B</mml:mi><mml:mi>z</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>. SYM-H decreases after <inline-formula><mml:math id="M53" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 06:00 UT, reaches the first minimum at <inline-formula><mml:math id="M54" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 09:30 UT, and
increases to a local maximum at <inline-formula><mml:math id="M55" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 12:00 UT. Then, it gradually
decreases with small oscillations and reaches the minimum value of <inline-formula><mml:math id="M56" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">233</mml:mn></mml:mrow></mml:math></inline-formula> nT
at <inline-formula><mml:math id="M57" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 22:45 UT. Correspondingly, the AE index exhibits the
first increase period between 06:00 and 12:00 UT, with the maximum
intensity of <inline-formula><mml:math id="M58" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">1000</mml:mn></mml:mrow></mml:math></inline-formula> nT, and the second period between 12:00
and 02:00 UT of the next day, during which the AE increases much larger with
several peaks. This storm is the strongest one in the 24th solar cycle
(Astafyeva et al., 2015).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><?xmltex \currentcnt{4}?><label>Figure 4</label><caption><p id="d1e902">A series of 2-D VTECP<inline-formula><mml:math id="M59" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> maps over the eastern Asian sector from the
period of 09:40–09:50 to 11:30–11:40 UT on 17 March 2015. The gray areas
represent the nightside. The color bar represents the VTECP<inline-formula><mml:math id="M60" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> (units: TECu),
which is transformed from the original VTECP value with Eq. (3) for a
more viewer-friendly color map. The green and yellow lines illustrate the
least-square fittings (order two) for wavefronts.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://angeo.copernicus.org/articles/37/673/2019/angeo-37-673-2019-f04.png"/>

        </fig>

      <p id="d1e929">During the first stage of the main phase, disturbances are observed
successively at MDT and SZT Doppler sounder stations. Figure 3 illustrates
the variations in the Doppler shift records at (Fig. 3a) MDT and (Fig. 3b) SZT between
08:00  and 14:00 UT on 17 March 2015. It shows that two distinct positive
shifts occur at about 10:22 and 10:53 UT. Shortly after this, it
exhibits two negative shifts but with much smaller amplitudes. Supposing that these
successive disturbances indicate a propagating perturbation, according to
the estimated locations of the reflecting points that are mentioned above and the
occurrence time of the two positive peaks, the approximate speed of this
perturbation is about 535 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>. This value is much larger than the speed of
the movement of the ionospheric negative storm that usually occurs in the
middle latitudes due to storm-induced equatorward wind (Buonsanto, 1999), and
the ionospheric storm is not serious in the Asian sector during this period
(Astafyeva et al., 2015). Considering the magnitude of the speed and the
time interval of the positive–negative variations, the recorded
perturbations probably reflect an equatorward-propagating LSTID in the eastern Asian sector.</p>
      <p id="d1e945">To confirm this, Fig. 4 presents a sequence of 2-D VTECP maps between
09:40 and 11:40 UT on 17 March 2015 with the method described in Sect. 2. The
gray areas represent the nightside. The raw value of VTECP has already been
converted into VTECP<inline-formula><mml:math id="M62" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> with the equation
            <disp-formula id="Ch1.E3" content-type="numbered"><label>3</label><mml:math id="M63" display="block"><mml:mrow><mml:msup><mml:mi mathvariant="normal">VTECP</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mo>=</mml:mo><mml:mi mathvariant="normal">sgn</mml:mi><mml:mfenced open="(" close=")"><mml:mi mathvariant="normal">VTECP</mml:mi></mml:mfenced><mml:mo>⋅</mml:mo><mml:msub><mml:mi mathvariant="normal">log</mml:mi><mml:mn mathvariant="normal">10</mml:mn></mml:msub><mml:mfenced open="(" close=")"><mml:mrow><mml:mi mathvariant="normal">abs</mml:mi><mml:mfenced close=")" open="("><mml:mi mathvariant="normal">VTECP</mml:mi></mml:mfenced><mml:mo>+</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:mfenced><mml:mo>.</mml:mo></mml:mrow></mml:math></disp-formula>
          <?xmltex \hack{\newpage}?><?xmltex \hack{\noindent}?>The raw amplitude of VTECP above 30<inline-formula><mml:math id="M64" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N is <inline-formula><mml:math id="M65" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula> TECu (1 TECu <inline-formula><mml:math id="M66" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">16</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> electrons m<inline-formula><mml:math id="M67" 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>)
while the raw amplitude of VTECP below 30<inline-formula><mml:math id="M68" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N reaches
<inline-formula><mml:math id="M69" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> TECu. Thus, transforming Eq. (3) provides a better color map for 2-D
VTECP plots by sharpening the edges between positive and negative values and
reducing the differences of VTECP in middle and low latitudes. Consequently,
it should be noted that the amplitude of the wave-like variation does not
represent the true wave amplitude but an “artificial” one. The yellow
lines illustrate the least-square fitting results for all the negative
pixels within certain rectangular areas bounded by longitudes and latitudes.
The green lines are similar but for pixels with the bottom 5 % absolute
<inline-formula><mml:math id="M70" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="normal">VTECP</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> values in selected areas (see Sect. 3.2 for a detailed example). These lines mark the approximate locations of
the wavefronts.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><?xmltex \currentcnt{5}?><label>Figure 5</label><caption><p id="d1e1075">Temporal variations in mean VTECP<inline-formula><mml:math id="M71" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> near the Doppler reflection
points between 08:00   and 14:00 UT, 17 March 2015. Doppler shift
recordings in Fig. 3 are plotted with dashed lines for comparison.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://angeo.copernicus.org/articles/37/673/2019/angeo-37-673-2019-f05.png"/>

        </fig>

      <p id="d1e1093">A large-scale wave-like perturbation can be seen clearly in Fig. 4. The
first relatively distinct wave structure emerges during the 10:10–10:20 UT period (Fig. 4d), while its sign can already be observed as early as 09:40–09:50 UT (Fig. 4a) in the northwestern part of China. During 10:20–10:30 UT (Fig. 4e), a
negative band occurs across both the Chinese–Japanese sector  between
around 30 and 45<inline-formula><mml:math id="M72" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, which gradually propagates to lower
latitudes in the following minutes. During 10:30–10:40 UT (Fig. 4f), the first
clear wavefront of the positive band appears, which also shows an
equatorward movement for at least half an hour. Finally, there seems to be
no distinct wave structure following the positive band. Considering the
spatiotemporal characteristics of this perturbation, it can be preliminarily
identified as an LSTID. By the way, it is interesting to note that the
positive bands do not extend to the Japanese sector in Fig. 4h and i, and the
corresponding VTECP<inline-formula><mml:math id="M73" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> amplitudes seem smaller in the eastern side
than in the western side. This may be related to the fact that the Japanese
sector has already entered the nightside.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><?xmltex \currentcnt{6}?><label>Figure 6</label><caption><p id="d1e1116">Temporal variations in the virtual height for iso-frequency lines
from eight ionosondes between 08:00  and 12:00 UT, 17 March 2015. Frequencies
are depicted on each iso-frequency line. The time resolution is 15 min for
all stations. The black dashed lines indicate the downward phase change.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://angeo.copernicus.org/articles/37/673/2019/angeo-37-673-2019-f06.png"/>

        </fig>

      <?pagebreak page678?><p id="d1e1125">Both the negative and positive bands exhibit more complex variations when
they enter the equatorial ionospheric anomaly (EIA) region between
20 and 30<inline-formula><mml:math id="M74" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N. On the one hand, the amplitude of
VTECP<inline-formula><mml:math id="M75" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> is relatively larger than those in the higher latitudes.
On the other hand, it seems that the equatorward propagation of the negative
band decelerates significantly in this area, which is especially shown in
Fig. 4g–l. Such complex features are probably related to the various
physical processes in this region. Ding et al. (2012) suggested that LSTIDs
experience severe dissipation in southern China region due to viscosity and
heat conductivity at low latitudes, which may account for the weakening of
the equatorward-propagating wave-like structures. Besides this, Pradipta et al. (2016) studied the interaction of the auroral LSTIDs from opposite
hemispheres near the dip equator during the 26 September 2011 geomagnetic
storm. Their results show that such interaction may bring much complexity to
the TEC perturbations near the dip equator.</p>
      <p id="d1e1147">Our observations of the Doppler shift and VTECP<inline-formula><mml:math id="M76" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> maps are in good
agreement. To show it clearly, Fig. 5 shows the variations in the mean
VTECP<inline-formula><mml:math id="M77" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> data near the Doppler reflection points with the same time range of
Fig. 3. Doppler shift recordings in Fig. 3 are also plotted with dashed
lines for comparison. It can be seen that the troughs at around 10:20 UT in
Fig. 5a and 10:50 UT in Fig. 5b correspond well to the two distinct crests in Fig. 3. In addition, the variations in the VTECP<inline-formula><mml:math id="M78" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> between 11:00 and 14:00 UT are
also in a good negative correlation with the Doppler shift observations for
each reflecting point. It should be noted that the variation in VTECP<inline-formula><mml:math id="M79" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> at
the reflecting point 1 exhibits more<?pagebreak page679?> variability than that at the reflecting
point 0, especially at around 09:00, 10:00, and 12:00 UT. Considering
that point 1 (29.2<inline-formula><mml:math id="M80" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 111.8<inline-formula><mml:math id="M81" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) is approaching the EIA
region, the causes for VTEC perturbations are more complicated, as mentioned
above. This feature is consistent with the observations of the 2-D
VTECP<inline-formula><mml:math id="M82" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> maps in Fig. 4.</p>
      <p id="d1e1214">Ionospheric parameters from ionograms have been extensively used since early
TID studies. Recently, ionograms and iso-frequency lines with different
sampling rates were used in TID studies (Klausner et al., 2009; Ding et al.,
2012, 2013; Pradipta et al., 2016; Ramsingh et al., 2015; Habarulema et al.,
2018). Figure 6 presents the temporal variations in the virtual height for
each iso-frequency line. The name and location of the corresponding
ionosonde stations are given in each subplot. The frequency is marked on the
right side for each line. In the left column, the results of five stations
are arranged in order from high to lower latitudes, and the right column
shows the recordings of four stations in the same latitudinal belt. We
can see clearly that a distinct uplift of the virtual height occurs at 09:45 UT at Manzhouli station, and it gradually moves equatorward from high to
lower latitudes (Fig. 6a–e). Meanwhile, there is no clear phase
difference for the stations on the right column. This means that the
ionospheric disturbance roughly moves along the meridian line in this
longitudinal sector (around 115<inline-formula><mml:math id="M83" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E), which corresponds to the
results of the 2-D VTECP<inline-formula><mml:math id="M84" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> map. Moreover, although the time resolution of 15 min is relatively low, it can still be identified that the crests in the
higher iso-frequency lines appear earlier than those in the lower ones. Such
trends (marked with black dashed lines) indicate a downward vertical phase
velocity, which is one of the typical characteristics of the TID and AGW (Hine,
1960; Hocke and Schlegel, 1996). It should be noted that the downward trend
is not much clear for certain station, especially the one in Qingdao. This
may be attributed to the 15 min sampling interval.</p>
</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Estimating propagation parameters</title>
      <p id="d1e1243">In preparation for estimating the propagation parameters of this LSTID,
Fig. 7 shows a detailed example of the wavefront fitting method with the
VTECP<inline-formula><mml:math id="M85" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> map in Fig. 4g (10:40–10:50 UT). The reason for choosing this
period is that the structure of the wavefront is relatively clear, and the
boundary between the trough and crest of this LSTID can still be partly
identified in the Japanese sector. The green line is the least-square
fitting for the green dots, of which the absolute VTECP<inline-formula><mml:math id="M86" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> values are close
to zero (bottom 5 %) among all the dots in a certain region (30–40<inline-formula><mml:math id="M87" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 75–140<inline-formula><mml:math id="M88" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E). The wave-propagating
azimuth (marked with arrows) can be estimated with the normal direction of
this fitting line. The estimated azimuths are listed in Table 1 in the
second column.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7"><?xmltex \currentcnt{7}?><label>Figure 7</label><caption><p id="d1e1284">A detailed example of the wavefront fitting method. Green dots
indicate the data points for least-square fitting. Green arrows depict the
propagation orientations in different longitudes. Dashed black rectangles
mark the areas for generating TLPs in Fig. 8.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://angeo.copernicus.org/articles/37/673/2019/angeo-37-673-2019-f07.png"/>

        </fig>

      <p id="d1e1293">It can be seen clearly that the TID moves due south around 110<inline-formula><mml:math id="M89" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E,
and in the western and eastern regions, the propagation direction is slightly southwest and southeast. It should be noted that, although the morphology of this TID is
continuously changing as it moves from high to lower latitudes in the
studied region, the longitudinal dependences of azimuths of all fitting
lines in Fig. 4e, f, g, and h are similar.</p>
      <p id="d1e1306">In order to derive the phase speed, period, and wavelength of this LSTID,
the time–latitude plots (TLPs) of VTECP<inline-formula><mml:math id="M90" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> are obtained for six longitudinal
bands, which are marked with dashed rectangles A–F in Fig. 7. For each
band, the VTECP<inline-formula><mml:math id="M91" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> data are averaged along the latitude for every 6 min,
and the results as a function of UT and latitude are illustrated
correspondingly in Fig. 8a–f. As mentioned above, the VTECP<inline-formula><mml:math id="M92" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>
variation related to EIA is rather complex. Considering that EIA is mainly a
low-latitudinal phenomenon, only values over 30<inline-formula><mml:math id="M93" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N are used to
estimate the speed. The 30<inline-formula><mml:math id="M94" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N indicates the boundary of EIA and is
marked with dashed lines in Fig. 8.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><?xmltex \currentcnt{8}?><label>Figure 8</label><caption><p id="d1e1356">TLPs of VTECP<inline-formula><mml:math id="M95" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> for different longitudinal bands between
07:00 and 14:00 UT. White dots give the data points for linear fitting, and the
fitting results are marked with white lines; 30<inline-formula><mml:math id="M96" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N in <bold>(b–d)</bold> and <bold>(f)</bold> is
marked with black dashed lines, which indicate the boundary of EIA, and
40<inline-formula><mml:math id="M97" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N is marked in <bold>(f)</bold>.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://angeo.copernicus.org/articles/37/673/2019/angeo-37-673-2019-f08.png"/>

        </fig>

      <?pagebreak page680?><p id="d1e1402">As expected, the most distinctive structures in all panels are the pair of
negative and positive bands between about 10:00   and 12:00 UT, which
correspond to the perturbations moving from high to lower latitudes shown in
Fig. 4. The structures in the 130–140<inline-formula><mml:math id="M98" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E are not
quite clear, which may be due to the lack of data in some parts of this
area, but the trough around 10:40 UT can still be identified. To estimate
the meridional speeds of these perturbation patterns, the linear least-square method is used to fit the pairs of troughs and crests. The data
points for the linear fitting (white dots) are the minimum and maximum values
around the trough and crest. The speeds for the wave trough (<inline-formula><mml:math id="M99" display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">t</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) and crest (<inline-formula><mml:math id="M100" display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">c</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>)
can be derived based on the slopes of the fitting lines. Moreover, the
period of the wave can be estimated through the time interval between the
trough and crest in TLPs. To be specific, for each longitudinal region, the
averaged values of the time intervals along all latitudinal bins is set to
be half of the period of the wave in this region. As for the estimation of
wavelength, note that the studied area is <inline-formula><mml:math id="M101" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M102" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> in
latitude, which is roughly one wavelength, and thus makes it difficult to
estimate the wavelength directly from the 2-D VTECP<inline-formula><mml:math id="M103" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> map. Thus, the
wavelength is derived from the multiplication of speed and period.</p>
      <?pagebreak page681?><p id="d1e1463">However, those speed, period, and wavelength are the projections on
longitudes. After adjusted by the propagation azimuths that were calculated
above, the final results of the estimated parameters are listed in Table 1.
It can be seen that these parameters show certain longitudinal dependence.
It should be noted that the data coverage is relatively lower in the eastern and western boundaries of the investigated region. This may impact the accuracy
of the estimation of the LSTID properties in these areas. On the whole, the
mean values and standard deviations of the period, <inline-formula><mml:math id="M104" display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">t</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M105" display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">c</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, and wavelength
are <inline-formula><mml:math id="M106" display="inline"><mml:mrow><mml:mn mathvariant="normal">74.8</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.4</mml:mn></mml:mrow></mml:math></inline-formula> min, <inline-formula><mml:math id="M107" display="inline"><mml:mrow><mml:mn mathvariant="normal">578</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">16</mml:mn></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math id="M108" 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>, <inline-formula><mml:math id="M109" display="inline"><mml:mrow><mml:mn mathvariant="normal">617</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">23</mml:mn></mml:mrow></mml:math></inline-formula> 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
<inline-formula><mml:math id="M111" display="inline"><mml:mrow><mml:mn mathvariant="normal">2691</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">80</mml:mn></mml:mrow></mml:math></inline-formula> km, respectively. These parameters are typical for an LSTID.
<inline-formula><mml:math id="M112" display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">t</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M113" display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">c</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> overlap, although only marginally, considering the error ranges.
Meanwhile, the mean <inline-formula><mml:math id="M114" display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">c</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is slightly larger than the mean <inline-formula><mml:math id="M115" display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">t</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, which seems like
the wave behind pushing the wave ahead. In general, the speeds of the trough and
crest of the LSTID should be rather similar, since they are induced by the
same gravity wave. However, the wave properties might change with time
being dependent on the forcing from the background condition, especially for LSTIDs
covering a large spatial region. This might explain the differences.</p>
      <p id="d1e1606">In addition, it is interesting to note that <inline-formula><mml:math id="M116" display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">t</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is in reasonable agreement
with the result of 535 m s<inline-formula><mml:math id="M117" 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> derived from the Doppler recordings. To show it
more specifically, we estimated the speed and direction of the LSTID using
the same TLP method as Fig. 8 but in 111–114<inline-formula><mml:math id="M118" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E and
29–38<inline-formula><mml:math id="M119" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N (corresponding to the reflecting points).
The results are <inline-formula><mml:math id="M120" display="inline"><mml:mrow><mml:mn mathvariant="normal">562</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">59</mml:mn></mml:mrow></mml:math></inline-formula> m 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 0.2<inline-formula><mml:math id="M122" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>, respectively. In
general, the LSTID velocity estimated from ground-based stations tends to be
larger than the actual velocity, since these stations, in most cases, are not
in perfect alignment with the propagation direction of the LSTID
(Afraimovich et al., 1998; Habarulema et al., 2013). Such good agreement
between VTECP<inline-formula><mml:math id="M123" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> and HF Doppler results may be attributed to the fact that
the reflecting points (29.2<inline-formula><mml:math id="M124" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 111.8<inline-formula><mml:math id="M125" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E; 38.0<inline-formula><mml:math id="M126" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 113.2<inline-formula><mml:math id="M127" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) of the Doppler sounders are in a narrow longitudinal
band and the direction of the LSTID's propagation is also almost due south
between 111 and 114<inline-formula><mml:math id="M128" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E.</p>
      <p id="d1e1740">As mentioned above, the VTECP<inline-formula><mml:math id="M129" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> in the EIA region seems to
exhibit different features compared to that in the middle latitudes. It can
be seen from Fig. 8c that VTECP<inline-formula><mml:math id="M130" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> in the EIA region also
shows a periodic variation, but it seems to have a longer period and time
duration than the LSTID. These disturbances are probably related to the
complex variations in VTEC after 08:00 UT (around dusk). Besides this, the
perturbations at 20<inline-formula><mml:math id="M131" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N around 12:00 and 13:00 UT show patterns
of poleward movement. Habarulema et al. (2018) identified TIDs in the
Asian–Australian sector during the same storm period. It provides clear
examples of TIDs crossing the dip equator from the Southern Hemisphere to
the Northern Hemisphere at around 09:00–12:00 UT. Their analysis shows that
these TIDs may not have exceeded 30<inline-formula><mml:math id="M132" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N. Such a poleward feature was
also detected in other longitudinal sectors during this storm (Zakharenkova
et al., 2016) and other storms (Pradipta et al., 2016; Jonah et al., 2018).
In addition, Ding et al. (2013) studied the poleward-propagating LSTIDs in
southern China during a medium-scale storm in 2011. They attributed their
observations to the excitation of secondary LSTIDs during the dissipation of
primary disturbances from the lower atmosphere. Besides this, the poleward-moving
disturbances may also be induced by the variation in the equatorial
electrojet, as pointed out by Chimonas (1970) and more recently by Habarulema
et al. (2016). A detailed investigation of this phenomenon is not the focus
of this work.</p>
</sec>
</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Discussion</title>
      <p id="d1e1788">Our results show that the propagation parameters of the LSTID in the eastern Asian sector during the St. Patrick's Day storm are longitudinally dependent.
Among these parameters, the longitudinal dependence of the propagation
azimuth of an LSTID receives much attention in previous works. In general,
earlier studies suggested that there are four main factors that affect the
direction of a polar-originating LSTID, including the velocity of the
background neutral wind (Hines, 1960; Morton and Essex, 1978; Maeda and
Handa, 1980), the structure and evolution of the source region in the
auroral oval (Maeda and Handa, 1980; Hunsucker, 1982; Ding et al., 2007),
the Coriolis force (Maeda and Handa, 1980; Balthazor and Moffett, 1999;
Afraimovich et al., 2000; Tsugawa et al., 2004; Ding et al., 2013), and the
declination of the geomagnetic field (Tsugawa et al., 2004; Borries et al.,
2009).</p>
      <p id="d1e1791">The Coriolis force effect is generally believed to contribute to the
clockwise shift of the propagation direction of the LSTIDs (Afraimovich et
al., 2000; Tsugawa et al., 2004; Ding et al., 2013), The observations of the
shift (10–20<inline-formula><mml:math id="M133" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> on average) are consistent with the
calculation by Maeda and Handa (1980) and the model simulation by Balthazor
and Moffett (1999). However, in our study, the shift of the propagation
direction is not systematic westward, which means the variability in the
LSTID azimuth in our observation cannot be attributed to the Coriolis force,
at least not to it alone.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e1806">The estimated propagation parameters of the LSTID and the
corresponding standard errors. The second column contains the propagation
directions, which are measured clockwise from the south. <inline-formula><mml:math id="M134" display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">t</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M135" display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">c</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> represent
the speed estimated with a certain wave trough and crest. Dir. stands for direction.</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="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Long. (<inline-formula><mml:math id="M136" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E)</oasis:entry>
         <oasis:entry colname="col2">Dir. (<inline-formula><mml:math id="M137" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col3">Period (min)</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M138" display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">t</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (m s<inline-formula><mml:math id="M139" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M140" display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">c</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (m s<inline-formula><mml:math id="M141" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col6">Wavelength (km)</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">80–90</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M142" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">11.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M143" display="inline"><mml:mrow><mml:mn mathvariant="normal">81.1</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3.4</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M144" display="inline"><mml:mrow><mml:mn mathvariant="normal">500</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">40</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M145" display="inline"><mml:mrow><mml:mn mathvariant="normal">542</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">31</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M146" display="inline"><mml:mrow><mml:mn mathvariant="normal">2536</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">163</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">90–100</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M147" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7.1</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M148" display="inline"><mml:mrow><mml:mn mathvariant="normal">77.6</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">5.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M149" display="inline"><mml:mrow><mml:mn mathvariant="normal">552</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">22</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M150" display="inline"><mml:mrow><mml:mn mathvariant="normal">670</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">44</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M151" display="inline"><mml:mrow><mml:mn mathvariant="normal">2845</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">222</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">100–110</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M152" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2.9</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M153" display="inline"><mml:mrow><mml:mn mathvariant="normal">58.8</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.5</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M154" display="inline"><mml:mrow><mml:mn mathvariant="normal">587</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">47</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M155" display="inline"><mml:mrow><mml:mn mathvariant="normal">638</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">76</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M156" display="inline"><mml:mrow><mml:mn mathvariant="normal">2160</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">167</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">110–120</oasis:entry>
         <oasis:entry colname="col2">1.3</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M157" display="inline"><mml:mrow><mml:mn mathvariant="normal">62.4</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2.0</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M158" display="inline"><mml:mrow><mml:mn mathvariant="normal">605</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">27</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M159" display="inline"><mml:mrow><mml:mn mathvariant="normal">562</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">25</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M160" display="inline"><mml:mrow><mml:mn mathvariant="normal">2184</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">99</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">120–130</oasis:entry>
         <oasis:entry colname="col2">7.9</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M161" display="inline"><mml:mrow><mml:mn mathvariant="normal">94.2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M162" display="inline"><mml:mrow><mml:mn mathvariant="normal">647</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">39</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M163" display="inline"><mml:mrow><mml:mn mathvariant="normal">673</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">63</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M164" display="inline"><mml:mrow><mml:mn mathvariant="normal">3731</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">216</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9" specific-use="star"><?xmltex \currentcnt{9}?><label>Figure 9</label><caption><p id="d1e2276">The sketch of (upper) the geomagnetic declination angles and
(lower) the propagation directions in different longitudes on the wavefront
fitted in Fig. 7. The propagation directions are measured clockwise from
the south.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://angeo.copernicus.org/articles/37/673/2019/angeo-37-673-2019-f09.png"/>

      </fig>

      <p id="d1e2285"><?xmltex \hack{\newpage}?>The structure and movement of the source region for the LSTID in the auroral
oval are another candidate for explaining the longitudinal dependence of the
propagation direction of the LSTID. Previous studies suggested that the
westward movement of enhanced electrojets in the auroral arc is an important
cause of the westward shift of the LSTID propagation direction at high
latitudes (Hunsucker, 1982; Ding et al., 2007). The change of the
propagation direction of LSTIDs as they move from high to middle latitudes
during the superstorm of 29 October 2003 over No<?pagebreak page683?>rth America was explained
by Ding et al. (2007) as being related to a change in the position of the
electrojet enhancement area near the auroral oval. Nevertheless, since the
structure and the evolution process of the source region during storm period
are complicated, more cases and modeling studies are needed to find a clear
connection between it and the propagation direction of LSTIDs.</p>
      <p id="d1e2289">In general, the velocity of the neutral wind is much less than that of the
LSTIDs, and the thermospheric wind velocity in the same latitudinal belt
with a limited longitudinal extension should exhibit little variance. Thus,
the contribution of the background wind on the change of the propagating
direction would be limited in the absence of the geomagnetic field. However,
a combined effect of magnetic declination and zonal wind can cause F-region
electron density differences between two sides of the zero declination
(Zhang et al., 2011). During storm periods, the enhanced zonal winds
(Fuller-Rowell et al., 1994) can intensify these differences (Thomas et al.,
2016). As a result, the geomagnetic declination is considered to be an
important factor that affects the propagation direction of the LSTID. Some
researchers studied the predominant propagation direction of LSTIDs during
storm periods in different longitudinal sectors and suggested that,
statistically speaking, the predominant directions of LSTIDs in Europe, China,
and Japan are primarily southward, south to west, and south to east,
respectively (Nicolls et al., 2004; Tsugawa et al., 2004; Borries, 2009; Ding
et al., 2013). These results are all consistent with the corresponding
geomagnetic declination in each sector.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F10" specific-use="star"><?xmltex \currentcnt{10}?><label>Figure 10</label><caption><p id="d1e2294">The TLP of VTECP<inline-formula><mml:math id="M165" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> for the European sector (30–70<inline-formula><mml:math id="M166" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 10–20<inline-formula><mml:math id="M167" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) between 01:00 and 23:00 UT.
White lines and dots are similar to those in Fig. 8. The black dashed line
depicts 60<inline-formula><mml:math id="M168" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://angeo.copernicus.org/articles/37/673/2019/angeo-37-673-2019-f10.png"/>

      </fig>

      <p id="d1e2339">In the longitudinal region of 70–150<inline-formula><mml:math id="M169" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, the
geomagnetic declination angles change from northeast in the western side to
northwest in the eastern side. This characteristic seems to show some kind
of consistency with the azimuth results in Table 1. To illustrate such
connection quantitatively, Fig. 9 depicts the geomagnetic
declination on the wavefront in different longitudes in Fig. 7 (Fig. 9a) and the
propagation direction (azimuth – 180<inline-formula><mml:math id="M170" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>) of the LSTID at the same
spot (Fig. 9b). The connection between these two parameters is quite obvious in this
event. This result proves that the propagation of LSTIDs in different
longitudes is probably influenced by the orientation of the geomagnetic
field lines in the eastern Asian sector. In addition, the tendency of
field-aligned propagation of the LSTID indicates that it is driven by the
neutral winds, since the winds push the plasma up and down along the magnetic
field lines. There is no evidence, such as simultaneous perturbations at all
latitudes in other cases (Borries et al., 2016; Zakharenkova et al., 2016),
to show that the LSTID in the Chinese–Japanese sector is affected by the prompt
penetration electric field (PPEF) during the same period. Besides,
considering the relatively low data coverage in the eastern and western sides of the
studied region, it should be noted that our speculation needs to be verified
with more observational data and numerical<?pagebreak page684?> simulation to reduce uncertainty
in our propagation estimation and to figure out the detailed physical
processes.</p>
      <p id="d1e2361">During the 2015 St. Patrick's Day storm, LSTIDs in the European–African,
American, and Asian–Australian sectors were detected and analyzed with TEC
observations (Borries et al., 2016; Zakharenkova et al., 2016; Habarulema et
al., 2018). It shows clearly in their results that the European sector also
exhibits LSTIDs around 11:00 UT. As a comparison, we also analyzed these
LSTIDs, but with VTEC data from the Madrigal database of the MIT Haystack
Observatory. To derive the VTECP, a narrow longitudinal band (30–70<inline-formula><mml:math id="M171" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 10–20<inline-formula><mml:math id="M172" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) is selected, and the VTEC
data with the same latitude at the same time are averaged. At each latitude
bin, the averaged VTEC forms a time series, and the temporal resolution is
set to 12 min with bin averaging. Then, a running mean with a 1.5 h
window is conducted for each time series, and their difference is taken as
the VTECP. The result is plotted in Fig. 10 as a TLP. The fitting lines
are obtained with the same method as those in Fig. 8.</p>
      <p id="d1e2382">Figure 10 is basically consistent with previous results (Borries et al.,
2016; Zakharenkova et al., 2016), such as the synchronous perturbations
around 04:45  and 09:15 UT and the LSTID structures between 10:00  and
17:00 UT. Moreover, our result shows that the VTECP<inline-formula><mml:math id="M173" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> behavior between
60 and 70<inline-formula><mml:math id="M174" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N is quite different from that between
30 and 60<inline-formula><mml:math id="M175" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N. The pattern around 10:00 UT seems to
represent a TID with smaller speed. Considering that the physical processes
are more complex in such high latitudes (Foster et al., 2014), we only focus
on the perturbations below 60<inline-formula><mml:math id="M176" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N. The speeds estimated from the
most distinct crest and trough are <inline-formula><mml:math id="M177" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">500</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">51</mml:mn></mml:mrow></mml:math></inline-formula> and
<inline-formula><mml:math id="M178" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">427</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">55</mml:mn></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math id="M179" 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, and the estimated period is
<inline-formula><mml:math id="M180" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">4.0</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.2</mml:mn></mml:mrow></mml:math></inline-formula> h. It is clear that the appearances of
the LSTIDs are different in the European and eastern Asian sectors during the
same period for the same storm event. Borries et al. (2016) presented a
detailed study on the LSTID in Europe during this storm. It is suggested
that the perturbation occurring around 11:00 UT is special, since it is
impacted by PPEF and wind at the same time. Comparatively, the LSTID in the
Chinese–Japanese sector seems to be only driven by winds. This may partly account
for the difference of LSTIDs between the eastern Asian and European sectors.
Besides, such a difference may also be related to the location or structure of
the joule heating source in the auroral oval or the difference of the
background TEC in the two sectors. For better understanding this difference,
more studies on the joule heating source are needed.</p>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <label>5</label><title>Summary</title>
      <p id="d1e2485">Using data from four GPS receiver networks (CMGN, CMONOC, GEONET, and IGS),
together with recordings of two HF Doppler sounders and eight ionosondes, we
provide comprehensive and detailed observation results of the LSTIDs in the
eastern Asian sector during the 2015 St. Patrick's Day storm. The GPS receiver
networks in China and Japan are combined together to produce 2-D VTEC
perturbation maps in order to give a wider image of the LSTID structures in
eastern Asia. As a comparison, the ionospheric disturbances in the European
sector are also studied with VTEC data from the Madrigal database. The
propagation parameters of the LSTIDs are estimated. The main results can be
summarized as follows:
<list list-type="order"><list-item>
      <p id="d1e2490">An LSTID occurs as a result of possible AGWs propagating from high to
lower latitudes around 09:40–11:40 UT, which spans over 60<inline-formula><mml:math id="M181" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> in
longitude, and the crest of this LSTID is characterized by a clear tendency
to dissipate starting from the eastern side. These features are in good
agreement with observations by HF Doppler sounders and ionosondes.</p></list-item><list-item>
      <p id="d1e2503">The propagation orientation is almost due southward around
105–115<inline-formula><mml:math id="M182" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, and it tends to slightly shift
westward and eastward in the western and eastern parts of the studied area. This is
suggested to be influenced by the regional declination of the geomagnetic
field lines.</p></list-item><list-item>
      <p id="d1e2516">The propagation parameters in different longitudinal bands are
estimated. These parameters show certain longitudinal differences. On the
whole, the mean values and standard deviations of the period, <inline-formula><mml:math id="M183" display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">t</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M184" display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">c</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, and
wavelength are <inline-formula><mml:math id="M185" display="inline"><mml:mrow><mml:mn mathvariant="normal">74.8</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.4</mml:mn></mml:mrow></mml:math></inline-formula> min, <inline-formula><mml:math id="M186" display="inline"><mml:mrow><mml:mn mathvariant="normal">578</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">16</mml:mn></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math id="M187" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, <inline-formula><mml:math id="M188" display="inline"><mml:mrow><mml:mn mathvariant="normal">617</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">23</mml:mn></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math id="M189" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, and <inline-formula><mml:math id="M190" display="inline"><mml:mrow><mml:mn mathvariant="normal">2691</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">80</mml:mn></mml:mrow></mml:math></inline-formula> km, respectively.</p></list-item></list>
It should be noted that our results show certain consistency with previous
research focusing on the Chinese or Japanese sector for different LSTID
events. Nevertheless, the longitudinal dependence shown in our results
should be examined further with more case studies based on large
longitudinal and high-resolution coverage of GPS data.</p>
</sec>

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

      <p id="d1e2619">GPS data of IGS can be downloaded from <uri>ftp://cddis.gsfc.nasa.gov</uri> (last access: June 2015). GPS data of
CMONOC and CMGN are provided by Guang-Lin Yang (yglyang@cma.gov.cn). GPS
data of GEONET is provided by Guan-Yi Ma (guanyima@bao.ac.cn). TEC map data
can be downloaded from <uri>http://cedar.openmadrigal.org/</uri> (last access: September 2016). HF Doppler shift data are
from the Chinese Meridian Project (principal investigator: Dong-He Zhang – zhangdh@pku.edu.cn).
Ionosonde data are provided by the China Research Institute of Radio Wave
Propagation (CRIRP) under the data exchange agreement between Peking
University and CRIRP. Space environment data can be downloaded from
<uri>https://spdf.gsfc.nasa.gov</uri> (last access: June 2015).</p>
  </notes><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e2634">JL and DZ mainly contributed to this study. JL, DZ, SZ, and AC participated
in the writing and revision. AC and SZ provided the TEC map data. GM
provided the GEONET data. YH and ZX provided suggestions.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e2640">The authors declare that they have no conflict of interest.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e2646">The Madrigal dataset is supported by the US National
Science Foundation, grant AGS-1242204. The authors would like to thank the
data providers and all referees for help in evaluating this paper.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e2651">This research has been supported by the National Natural Science Foundation of China (grant no. 41674157).</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e2657">This paper was edited by Ana G. Elias and reviewed by two anonymous referees.</p>
  </notes><ref-list>
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    <!--<article-title-html>A case study of the large-scale traveling ionospheric disturbances in the eastern Asian sector during the 2015 St. Patrick's Day geomagnetic storm</article-title-html>
<abstract-html><p>This study presents a comprehensive observation of the large-scale traveling
ionospheric disturbances (LSTIDs) in the eastern Asian sector during the 2015
St. Patrick's Day (17 March 2015) geomagnetic storm. For the first time, three
dense networks of GPS receivers in China and Japan are combined together to
obtain the two-dimensional (2-D) vertical total electron content (VTEC)
perturbation maps in a wider longitudinal range than previous studies in
this region. Results show that an LSTID spanning at least 60° in longitude
(80–140°&thinsp;E) occurs as a result of possible atmospheric gravity waves (AGWs)
propagating from high to lower latitudes at around 09:40–11:40&thinsp;UT (universal time), and the
crest of this LSTID shows a tendency of dissipation starting from the eastern
side. The manifestation of the 2-D VTEC perturbation maps is in good
agreement with the recordings from two high-frequency Doppler sounders and the
iso-frequency lines from eight ionosondes. Then, the propagation parameters of
the LSTIDs are estimated by applying least-square fitting methods to the
distinct structures in the 2-D VTEC perturbation plots. In general, the
propagation parameters are observably longitudinally dependent. For example,
the propagation direction is almost due southward between 105 and 115°&thinsp;E, while it is slightly southwest and southeast in the western and eastern
sides of this region. This feature is probably related to the regional
geomagnetic declination. The mean values of the period, trough velocity
(<i>V</i><sub>t</sub>), crest velocity (<i>V</i><sub>c</sub>), and wavelength of the LSTIDs in the studied
longitudinal bands are 74.8±1.4&thinsp;min, 578±16&thinsp;m&thinsp;s<sup>−1</sup>,
617±23&thinsp;m&thinsp;s<sup>−1</sup>, and 2691±80&thinsp;km, respectively. Finally, using the
VTEC map data from the Madrigal database of the MIT Haystack Observatory,
the characteristics of the ionospheric disturbances over the European sector
(30–70°&thinsp;N, 10–20°&thinsp;E) are also
studied. The results are very different from those in the eastern Asian sector
in parameters like the occurrence time, oscillation period, and propagation
velocities.</p></abstract-html>
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