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  <front>
    <journal-meta>
<journal-id journal-id-type="publisher">OS</journal-id>
<journal-title-group>
<journal-title>Ocean Science</journal-title>
<abbrev-journal-title abbrev-type="publisher">OS</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Ocean Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1812-0792</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/os-13-105-2017</article-id><title-group><article-title>Synoptic fluctuation of the Taiwan Warm Current <?xmltex \hack{\newline}?> in winter on the East China Sea shelf</article-title>
      </title-group><?xmltex \runningtitle{Synoptic fluctuation of the Taiwan Warm Current in winter on the East China Sea shelf}?><?xmltex \runningauthor{J.~Xuan et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Xuan</surname><given-names>Jiliang</given-names></name>
          <email>xuanjl@sio.org.cn</email>
        </contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2">
          <name><surname>Huang</surname><given-names>Daji</given-names></name>
          <email>djhuang@sio.org.cn</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Pohlmann</surname><given-names>Thomas</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Su</surname><given-names>Jian</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Mayer</surname><given-names>Bernhard</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2 aff1">
          <name><surname>Ding</surname><given-names>Ruibin</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Zhou</surname><given-names>Feng</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-4635-9233</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou, China</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Ocean College, Zhejiang University, Zhoushan, China</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Institute of Oceanography, University of Hamburg, Hamburg, Germany</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Jiliang Xuan (xuanjl@sio.org.cn) and Daji Huang (djhuang@sio.org.cn)</corresp></author-notes><pub-date><day>10</day><month>February</month><year>2017</year></pub-date>
      
      <volume>13</volume>
      <issue>1</issue>
      <fpage>105</fpage><lpage>122</lpage>
      <history>
        <date date-type="received"><day>28</day><month>August</month><year>2016</year></date>
           <date date-type="rev-request"><day>23</day><month>September</month><year>2016</year></date>
           <date date-type="rev-recd"><day>1</day><month>January</month><year>2017</year></date>
           <date date-type="accepted"><day>10</day><month>January</month><year>2017</year></date>
      </history>
      <permissions>
<license license-type="open-access">
<license-p>This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/3.0/">http://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions><self-uri xlink:href="https://os.copernicus.org/articles/13/105/2017/os-13-105-2017.html">This article is available from https://os.copernicus.org/articles/13/105/2017/os-13-105-2017.html</self-uri>
<self-uri xlink:href="https://os.copernicus.org/articles/13/105/2017/os-13-105-2017.pdf">The full text article is available as a PDF file from https://os.copernicus.org/articles/13/105/2017/os-13-105-2017.pdf</self-uri>


      <abstract>
    <p>The seasonal mean and synoptic fluctuation of the wintertime
Taiwan Warm Current (TWC) were investigated using a well-validated finite
volume community ocean model. The spatial distribution and dynamics of the
synoptic fluctuation were highlighted. The seasonal mean of the wintertime
TWC has two branches: an inshore branch between the 30 and 100 m isobaths
and an offshore branch between the 100 and 200 m isobaths. The Coriolis term
is much larger than the inertia term and is almost balanced by the pressure
gradient term in both branches, indicating geostrophic balance of the mean
current. Two areas with significant fluctuations of the TWC were identified
during wintertime. One of the areas is located to the north of Taiwan with
velocities varying in the cross-shore direction. These significant
cross-shore fluctuations are driven by barotropic pressure gradients
associated with the intrusion of the Taiwan Strait Current (TSC). When a
strong TSC intrudes to the north of Taiwan, the isobaric slope tilts downward
from south to north, leading to a cross-shore current from the coastal area
to the offshore area. When the TSC intrusion is weak, the cross-shore
current to the north of Taiwan is directed from offshore to inshore. The
other area of significant fluctuation is located in the inshore area between
the 30 and 100 m isobaths. The fluctuations are generally strong both in the
alongshore and cross-shore directions, in particular at the latitudes
26.5 and 28<inline-formula><mml:math id="M1" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N. Wind affects the synoptic fluctuation
through episodic events. When the northeasterly monsoon prevails, the
southwestward Zhe-Min coastal current dominates the inshore area associated
with a deepening of the mixed layer. When the winter monsoon is weakened or
the southwesterly wind prevails, the northeastward TWC dominates in the inshore area.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>On the East China Sea (ECS) shelf, the mean path of the Taiwan Warm Current (TWC)
has two branches: the inshore branch along the 50 m isobath and the
offshore branch along the 100 m isobath (Su and Pan, 1987). The summer TWC
has been well studied because the current is stationary and strong, with an
average speed of 0.3 m s<inline-formula><mml:math id="M2" 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> (Guan, 1978; Fang et al., 1991; Isobe, 2008; Yang
et al., 2011, 2012). The spatial structure and temporal variation of the
wintertime (December to March) TWC are less known due to its weak mean
surface velocity, according to a climatological structure of the surface
current in the ECS mapped by Qiu and Imasato (1990).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><caption><p>Density (<inline-formula><mml:math id="M3" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">σ</mml:mi><mml:mi>t</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, kg m<inline-formula><mml:math id="M4" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula>) distributions at 50 m depth
derived from the GDEM climatological data in February <bold>(a)</bold>, an ocean survey
from 1 to 27 February 2007 <bold>(b)</bold>, an ocean survey from 3 to 16 February 2007 <bold>(c)</bold>
and the density anomalies between the GDEM data and the two surveys <bold>(d, e)</bold>.
The two blue arrows indicate the two TWC branches in winter. The 30, 50, 70,
100 and 200 m isobaths are indicated with gray lines in <bold>(a)</bold>.</p></caption>
        <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://os.copernicus.org/articles/13/105/2017/os-13-105-2017-f01.png"/>

      </fig>

      <p>The wintertime TWC on the ECS shelf shows synoptic fluctuations (Cui et al.,
2004; Zhu et al., 2004; Zeng et al., 2012; Huang et al., 2016). These
synoptic fluctuations show some features common to those over other
continental shelves; i.e., they have periods between 3 and 15 days and are
associated with coastal sea level changes, which can be explained by local
winds or by coastal trapped waves (Huyer, 1990; Brink, 1991; Huthnance et
al., 1986). Huang et al. (2016) showed that the wind was a main physical
factor, which caused the temporal variation of the wintertime currents at the
synoptic scale in the coastal area of the ECS. However, the dominant
physical factors of the TWC fluctuations still lack study; the fluctuations
on the whole shelf of the ECS may be complicated due to the complex bottom
topography, alternating wind forcing and conjunction of several current
systems such as the Kuroshio Current, the Taiwan Strait Current (TSC) and
the Zhe-Min Coastal Current (ZMCC). These synoptic fluctuations are also
known to influence the regional material transport, especially when the
amplitude of the fluctuations is comparable to, or even larger than, the
mean current. On the ECS shelf, some recent observations have shown that the
TWC has an episodic wintertime feature (Zhu et al., 2004) and the variations
of the TWC in winter have an amplitude as large as 0.2 m s<inline-formula><mml:math id="M5" 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> (Zeng et al.,
2012). Moreover, it has been observed that the variations of the TWC in
winter cause a cross-shore current, which is closely linked to the alongshore
component (Huang et al., 2016). Therefore, we focus on studying the spatial
patterns of synoptic fluctuations to better understand the role of the
wintertime TWC on the cross-shore water exchange.</p>
      <p>A comparison between the wintertime climatological density (Fig. 1a) and
synoptic density distributions observed during two surveys (Fig. 1b and c)
suggests that two distinct areas with significant synoptic fluctuations
exist. The climatological density is taken from the Generalized Digital
Environment Model (GDEM; Carnes, 2009) data, and the two surveys were
carried out in February 2007 by two research vessels. Because the isopycnal
lines are closely related to geostrophic currents, we can infer the strength
of the TWC from the horizontal gradient of the isopycnals between
24<inline-formula><mml:math id="M6" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">σ</mml:mi><mml:mi>t</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and 25<inline-formula><mml:math id="M7" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">σ</mml:mi><mml:mi>t</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> contours (Fig. 1a). This
accounts for the fact that in winter the water mass of TWC is located in
this density range (according to the hydrography analysis of Su et al.,
1994). The two-branch structure of the TWC can be inferred from the
wintertime climatological density. In this paper, we defined that the
near-coast area is the area between the coast and 30 m isobath where the
ZMCC occurs, the inshore area is the area between the 30 and 100 m isobaths
where the TWC inshore branch dominates and the offshore area is the region
between the 100 and 200 m isobaths where the TWC offshore branch prevails.
According to the hydrographic data analysis and numerical interpretation by
Su and Pan (1987), the TWC inshore and offshore branches mainly occur close
to those specific isobaths. However, these two branches were missing during
the two synoptic surveys (Fig. 1b and c), indicating strong synoptic
fluctuations of the TWC on the ECS shelf. Furthermore, the density anomalies
between the two surveys and the GDEM data (Fig. 1d and e) indicate that
the most significant fluctuations are located north of Taiwan and in the
inshore area. Both surveys show negative density anomalies north of Taiwan,
indicating that the TWC was weak and that more low-density coastal water was
transported to the ECS shelf during the observational periods. The density
anomalies in the inshore area show different patterns for the two synoptic
surveys, with a positive anomaly in the first survey (Fig. 1d) and a
negative anomaly in the second (Fig. 1e), indicating a strong synoptic
fluctuation in the inshore area.</p>
      <p>Candidate factors for driving these synoptic fluctuations are local wind,
surface cooling, and the upstream currents of the Kuroshio Current and the
TSC. As discussed by Huyer (1990), wind is often considered as the major
driving mechanism of synoptic fluctuations of the wintertime TWC. The
northeasterly monsoon wind in winter blows against the northeastward TWC and
produces a southwestward ZMCC (Chuang and Liang, 1994; Oey et al., 2010).
Zhu et al. (2004) suggested that the occurrence and duration of the TWC are
associated with the meandering of the Kuroshio Current north of Taiwan. The
northeastward TSC, as an upstream flow of the TWC, also influences the
synoptic fluctuation of the wintertime TWC. Hong et al. (2011) and Hu et al. (2010)
summarized that the temporal and spatial variation of TSC is
modulated by strong wind forcing, complex topography and circulation in the
northern South China Sea as well as coastal water input and the Kuroshio
intrusion. Guan and Fang (2006) showed evidence that the TSC and the TWC
merge in the area between the Taiwan Strait and the Zhe-Min coastal region.
Takahashi and Morimoto (2013) pointed out that the temporal variation of the
TWC is characterized by the propagation of vorticity anomalies originating
from northeast of the Taiwan Strait, which further demonstrated that the
fluctuations of TWC were associated with its upstream currents such as the TSC.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><caption><p>The FVCOM model grid (left panel) and the surface mean flow in the ECS
in winter (right panel). The colors in the left panel show the grid length (km).
The letters a–c indicate the three open boundaries at the Taiwan Strait, the
northwest Pacific Ocean and the Japan/East Sea, respectively. The blue dashed
lines (right panel) show some important straits around shelf boundary, including
the Taiwan Strait (TWS), the East Taiwan Channel (ET), the Tsushima Strait (TUS),
the Tokara Strait (TOS) and shelf break at the 200 m isobath. The red rectangle
shows the study area of the wintertime TWC. The four red numbers off the Zhe-Min
coast show the four mooring sites observed from 5 January to 28 February 2009.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://os.copernicus.org/articles/13/105/2017/os-13-105-2017-f02.jpg"/>

      </fig>

      <p>To explore the spatial distribution of synoptic fluctuations of the
wintertime TWC on the ECS shelf, current data with high resolution in both
space and time are required. Previous studies on the wintertime TWC were
based on cruise surveys (Su and Pan, 1987; Chen et al., 1994; Chen and Wang,
1999), anchored mooring observations (Zhu et al., 2004; Zeng et al., 2012;
Huang et al., 2016) and numerical simulations (Guo et al., 2003, 2006; Yang
et al., 2011, 2012; Xuan et al., 2012a, 2016). The observation data are
limited in terms of temporal and spatial coverage; hence, they cannot fully
reveal the synoptic fluctuations of the TWC and their regional differences.
Numerical simulations provide a promising approach for studying the overall
structure and driving mechanisms of synoptic fluctuations of the TWC in more detail.</p>
      <p>In this study, the Finite Volume Coastal Ocean Model (FVCOM; Chen et al.,
2003) is used to investigate wintertime TWC synoptic fluctuations and their
mechanisms. The rest of this paper is organized as follows. In Sect. 2, we
provide a description of methods and validation. The mean distribution,
synoptic fluctuations and dynamic diagnostics of the wintertime TWC are
given in Sect. 3. The impact of synoptic fluctuation on water exchange is
further discussed in Sect. 4, followed by conclusions in Sect. 5.</p>
</sec>
<sec id="Ch1.S2">
  <title>Methods and validation</title>
<sec id="Ch1.S2.SS1">
  <title>Model configuration</title>
      <p>To investigate the currents (TWC, Kuroshio Current, ZMCC, etc.) and their
synoptic fluctuations on the ECS shelf, a three-dimensional (3-D) unstructured-grid (Fig. 2,
left panel) FVCOM is developed for the entire Bohai, Yellow and East China
Seas (part of the Japan/East Sea, and part of the Pacific Ocean). A regional
refinement of the resolution (approximately 3 km) is specified around the
ECS shelf break at the 200 m isobaths, where a strong excursion of the
Kuroshio Current also occurs. The General Bathymetric Chart of the Oceans (GEBCO)
provides high-resolution (approximately 1 km) bathymetric data
(Smith and Sandwell, 1997). In all, 20 vertical layers with 76 954 triangle cells
were specified in the water column in a sigma-stretched coordinate system.</p>
      <p>The driving forces of the numerical simulation include tides, river
discharge, surface heat fluxes, wind and open-boundary conditions. Harmonic
constants of 11 major tidal constituents (M<inline-formula><mml:math id="M8" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, S<inline-formula><mml:math id="M9" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, N<inline-formula><mml:math id="M10" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>,
K<inline-formula><mml:math id="M11" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, K<inline-formula><mml:math id="M12" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:math></inline-formula>, O<inline-formula><mml:math id="M13" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:math></inline-formula>, P<inline-formula><mml:math id="M14" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:math></inline-formula>, Q<inline-formula><mml:math id="M15" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:math></inline-formula>, M<inline-formula><mml:math id="M16" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>, MS<inline-formula><mml:math id="M17" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> and
MN<inline-formula><mml:math id="M18" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>) were used; these are based on the Oregon State University global
inverse tidal model TPXO.7.0 (Egbert et al., 1994; Egbert and Erofeeva,
2002). The daily mean river discharge of the Changjiang and Huanghe was
taken from publicly available observation data at the Datong hydrometric
station (<uri>http://yu-zhu.vicp.net/</uri>). Other rivers were not included because of
their small discharges; e.g., the Qiantang River, with the largest runoff
from the Zhejiang coast, has a climatological mean discharge in winter of
about 230 m<inline-formula><mml:math id="M19" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M20" 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>, which is nearly negligible compared to the Changjiang
winter discharge of about 11 500 m<inline-formula><mml:math id="M21" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M22" 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 daily mean heat fluxes were
from the objectively analyzed air–sea fluxes (Yu and Weller, 2007), and the
3-hourly wind stress and 10 m wind speed data were from the ERA-Interim re-analysis (Dee et al., 2011). The open-boundary conditions, including
daily temperature, salinity and fluxes at the Taiwan Strait, the western
Pacific Ocean and the Japan/East Sea, were obtained from the Hybrid
Coordinate Ocean Model (Bleck, 2002) and interpolated onto the FVCOM model
grid points. The temporal resolution of all the driving force fields is
better than or equal to 1 day, which is essential to resolve synoptic fluctuations.</p>
      <p>The hindcast outputs of sea surface height, temperature, salinity and
velocities for the 5 years of simulation from 2009 to 2013 are used,
following three spin-up years (2006–2008) initiated with the temperature and
salinity taken from the Hybrid Coordinate Ocean Model and velocity set to
zero. The initial conditions are ramped-up over a period of 30 days and at
the lateral boundaries a sponge layer was used with the same method as Chen
et al. (2008). The model time step was 15 seconds for the 2-D barotropic
mode and 90 seconds for the 3-D baroclinic mode. All of the output fields
were processed with a tidal filter (Godin, 1972) to remove tidal
oscillations (considering that the major timescale of synoptic fluctuations
in this study area is 3–15 days).</p>
      <p>Since the currents in 2009 could partly be validated by means of available
observational data (see Sect. 2.2), the currents from 1 January to 28 February 2009
were selected for analysis of the wintertime TWC.</p>
</sec>
<sec id="Ch1.S2.SS2">
  <title>Validation of the mean currents and synoptic fluctuations</title>
      <p>The mean currents, e.g., the Kuroshio Current, the TWC, and the ZMCC, were
calculated by averaging the outputs of January and February 2009. We
validated the mean currents in terms of circulation structure, boundary
fluxes, and coastal currents.</p>
      <p>The FVCOM has reproduced almost all of the known circulation structure in
the ECS in winter. The surface mean currents (Fig. 2) show three major
currents: the Kuroshio Current, the TWC and the ZMCC. The Kuroshio Current,
with a speed of about 1 m s<inline-formula><mml:math id="M23" 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>, enters the ECS just northeast of Taiwan and
flows along the shelf break up to the northern area and ultimately leaves
the ECS through the Tokara Strait. Both the route and strength of the
Kuroshio are comparable with those reported in the literature (Guan, 1978;
Qiu and Imasato, 1990). The TWC has two northeastward branches, one inshore
(between the 30 and 100 m isobaths) and another offshore (between the
100 and 200 m isobaths), which is consistent with Su and Pan (1987). The
southwestward-directed ZMCC in the nearshore area from the Changjiang
Estuary to the Taiwan Strait agrees well with that reported in previous
studies (Guan and Mao, 1982; Zeng et al., 2012).</p>
      <p>The simulated volume transports across the Taiwan Strait, the East Taiwan
Channel, the Tsushima Strait, the Tokara Strait and the shelf break of the
200 m isobath were validated using results from the literature (Table 1).
The simulated transports were accurate enough to reproduce volume transport
(1.22 Sv) through the Taiwan Strait, which is closer to the observation value
(1.20 Sv) from Isobe (2008) than former model results. The volume transports
across the Taiwan Strait and the Tokara Strait, as well as the cross-shore
exchange, affected the path and magnitude of the TWC. The annual-mean
transport across the 200 m isobath toward the shelf is 1.66 Sv, which is
balanced by the inflow from the Taiwan Strait (1.22 Sv) and the outflow
through the Tsushima Strait (2.85 Sv).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><caption><p>Validations of the wintertime TWC (warm color) along the section off
the Zhe-Min coast (the short line with four red numbers in Fig. 2):
<bold>(a)</bold> observed alongshore currents, <bold>(b)</bold> simulated alongshore
currents, <bold>(c)</bold> observed cross-shore currents and <bold>(d)</bold> simulated
cross-shore currents. Note, an enlarged color scale is used for the cross-shore
component to have a clear view of its weak structure.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://os.copernicus.org/articles/13/105/2017/os-13-105-2017-f03.png"/>

        </fig>

      <p>Figure 3 shows a comparison between simulation and observation results for
the alongshore currents and the cross-shore currents on the ECS shelf. The
observational data were obtained from four mooring surveys (Fig. 2, red
stations) off the Zhe-Min coast (Zeng et al., 2012). The observed and
simulated currents were both averaged for the observational period, which
was from 1 January to 28 February 2009. Using the same method as in Huang
et al. (2016), we defined the positive alongshore current direction as from
the southwest (218<inline-formula><mml:math id="M24" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>) to the northeast (38<inline-formula><mml:math id="M25" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>), which is the mean
tangential direction of the isobaths on the southwestern shelf of the ECS.
The positive cross-shore direction is from the northwest (308<inline-formula><mml:math id="M26" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>) to
the southeast (128<inline-formula><mml:math id="M27" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>), normal to the isobaths. The alongshore
components (Fig. 3a and b) show that the ZMCC flows southwestward parallel
to the coast in winter, with a maximum speed of 0.15 m s<inline-formula><mml:math id="M28" 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> along the 30 m
isobath. The TWC flows northeastward with a speed of 0.05 m s<inline-formula><mml:math id="M29" 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 core
is located in the lower layer at about 50 m at station 4. The cross-shore
component (Fig. 3c and d) is much weaker than the alongshore components,
and it shows a complex spatial pattern. It flows offshore in the upper layer
and onshore in the lower layer at station 1. Moreover, it mainly flows
onshore at station 2, and it flows offshore in the entire water column at
stations 3 and 4. Altogether, the simulated pattern and magnitude both of
the alongshore and cross-shore components are in good agreement with the
observations. However, there are some differences between the observed and
simulated results; for example, the simulated ZMCC occupies a broader space
than that in the observations. This may have been caused by the relatively
low number of observational stations.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4"><caption><p>Validations of the wintertime TWC fluctuations: <bold>(a)</bold> observed
alongshore currents, <bold>(b)</bold> simulated alongshore currents,
<bold>(c)</bold> observed cross-shore currents and <bold>(d)</bold> simulated cross-shore
currents. The observation data come from station 4 in Fig. 1 and the simulated
data have the same position and period as the observation data.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://os.copernicus.org/articles/13/105/2017/os-13-105-2017-f04.jpg"/>

        </fig>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1"><caption><p>Annual-mean volume transports (Sv <inline-formula><mml:math id="M30" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M31" 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="M32" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M33" 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>)
through various sections. The sections are shown in Fig. 2 using blue dashed lines.</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.95}[.95]?><oasis:tgroup cols="3">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:thead>
       <oasis:row>

         <oasis:entry colname="col1">Section</oasis:entry>

         <oasis:entry colname="col2">Present</oasis:entry>

         <oasis:entry colname="col3">Previous estimates</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col1"/>

         <oasis:entry colname="col2">model</oasis:entry>

         <oasis:entry colname="col3"/>

       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>

         <oasis:entry rowsep="1" colname="col1" morerows="6">Taiwan Strait</oasis:entry>

         <oasis:entry rowsep="1" colname="col2" morerows="6">1.22</oasis:entry>

         <oasis:entry colname="col3">1.2 (Isobe, 2008)</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col3">1.8 (Wang et al., 2003)</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col3">1.09 (Wu and Hsin, 2005)</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col3">1.03 (Yang et al., 2011)</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col3">1.72 (Guo et al., 2006)</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col3">0.5 (Hung et al., 2003)</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col3">1.10 (X. Liu et al., 2014b)</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry rowsep="1" colname="col1" morerows="3">Tsushima Strait</oasis:entry>

         <oasis:entry rowsep="1" colname="col2" morerows="3">2.85</oasis:entry>

         <oasis:entry colname="col3">2.65 (Isobe, 2008)</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col3">3.03 (Guo et al., 2006)</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col3">2.70 (Yang et al., 2011)</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col3">2.52 (X. Liu et al., 2014b)</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry rowsep="1" colname="col1" morerows="3">200 m isobath</oasis:entry>

         <oasis:entry rowsep="1" colname="col2" morerows="3">1.66</oasis:entry>

         <oasis:entry colname="col3">1.46 (Guo et al., 2006)</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col3">0.87 (C. Liu et al., 2014a)</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col3">3.0 (Teague et al., 2003)</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col3">2.74 (Lee and Matsuno, 2007)</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry rowsep="1" colname="col1" morerows="5">East Taiwan Channel</oasis:entry>

         <oasis:entry rowsep="1" colname="col2" morerows="5">22.71</oasis:entry>

         <oasis:entry colname="col3">21.50 (Johns et al., 2001)</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col3">23.00 (Teague et al., 2003)</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col3">23.83 (Guo et al., 2006)</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col3">28.4 (Hsin et al., 2013)</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col3">21.37 (Yang et al., 2011)</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col3">20.74 (X. Liu et al., 2014b)</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1" morerows="3">Tokara Strait</oasis:entry>

         <oasis:entry colname="col2" morerows="3">23.20</oasis:entry>

         <oasis:entry colname="col3">23.4 (Feng et al., 2000)</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col3">20.00 (Teague et al., 2003)</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col3">20.66 (Yang et al., 2011)</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col3">24.42 (X. Liu et al., 2014b)</oasis:entry>

       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table></table-wrap>

      <p>Synoptic fluctuations of the TWC inshore branch during January and February 2009
were also validated against the mooring results (Fig. 4). Since the TWC
shows a strong signature at station 4, the time series of the alongshore
currents and cross-shore currents in the whole water column of station 4
were used for the validation. To eliminate the influence of local effects,
the simulated currents were averaged in a 10 <inline-formula><mml:math id="M34" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10 km<inline-formula><mml:math id="M35" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> area
around station 4. Both the observed and simulated results show that the TWC
fluctuates with a period of 3–15 days. The simulated TWC (Fig. 4a, warm
color) appeared stronger (<inline-formula><mml:math id="M36" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 0.1 m s<inline-formula><mml:math id="M37" 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>) on 7, 12, 18,
21, 26 and 29 January, and 10, 14, 19, 22 and 25 February,
which agrees well with data from the observations (Fig. 4b). The time series
of the simulated cross-shore component (Fig. 4c) are virtually in phase with
the observations (Fig. 4d). The magnitude of the cross-shore fluctuations is
comparable to the alongshore fluctuations. This is different to the
anisotropic characteristic of the mean currents (Fig. 3), for which the
alongshore component is nearly 1 order of magnitude larger than the cross-shore component.</p>
</sec>
<sec id="Ch1.S2.SS3">
  <title>EOF analysis of synoptic fluctuations</title>
      <p>The empirical orthogonal function (EOF) method (Emery and Thomson, 2001), as
a statistical method, has been used to understand synoptic fluctuations of
the wintertime TWC. The simulated currents from 1 January to 28 February 2009 were
selected and their anomalies were calculated. Then, using the Matlab
EOF function, the current vectors were separated into several orthogonal
modes to show the spatial and temporal variations. Because the first two
leading modes explain 91 % of the total variance, only these two modes
were used for the analysis.</p>
      <p>The spatial distributions of the two leading EOF modes were used to analyze
the regional difference of the synoptic fluctuations. To investigate the
driving force of the two EOF modes, the temporal variation was compared to
the potential influence factors, such as wind, upstream currents and net
surface heat flux.</p><?xmltex \hack{\newpage}?>
</sec>
<sec id="Ch1.S2.SS4">
  <title>Momentum analysis</title>
      <p>The driving mechanisms of the synoptic fluctuations were further analyzed
using the momentum equation. First, the momentum balance as implemented in
FVCOM (Chen et al., 2003) is shown in Eq. (1). The three terms on the left-hand
side represent local acceleration, Coriolis acceleration and
advection, and the three terms on the right-hand side
represent pressure gradient, friction and diffusion.

                <disp-formula id="Ch1.E1" content-type="numbered"><mml:math id="M38" display="block"><mml:mstyle displaystyle="true" class="stylechange"/><mml:mrow><?xmltex \hack{\hbox\bgroup\fontsize{9}{9}\selectfont$\displaystyle}?><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mo>∂</mml:mo><mml:mi mathvariant="bold-italic">V</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:mi mathvariant="bold">Ω</mml:mi><mml:mo>×</mml:mo><mml:mi mathvariant="bold-italic">V</mml:mi><mml:mo>+</mml:mo><mml:mo>(</mml:mo><mml:mi>V</mml:mi><mml:mo>⋅</mml:mo><mml:mi mathvariant="normal">∇</mml:mi><mml:mi mathvariant="bold-italic">V</mml:mi><mml:mo>)</mml:mo><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mn mathvariant="normal">1</mml:mn><mml:mrow><mml:msub><mml:mi mathvariant="italic">ρ</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:mfrac></mml:mstyle><mml:mi mathvariant="normal">∇</mml:mi><mml:mi>P</mml:mi><mml:mo>+</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mo>∂</mml:mo><mml:mrow><mml:mo>∂</mml:mo><mml:mi>z</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mfenced close=")" open="("><mml:msub><mml:mi>K</mml:mi><mml:mi>m</mml:mi></mml:msub><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mo>∂</mml:mo><mml:mi mathvariant="bold-italic">V</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>z</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mfenced><mml:mo>+</mml:mo><mml:mi mathvariant="bold-italic">F</mml:mi><mml:mo>,</mml:mo><?xmltex \hack{$\egroup}?></mml:mrow></mml:math></disp-formula>

          where <inline-formula><mml:math id="M39" display="inline"><mml:mi mathvariant="bold-italic">V</mml:mi></mml:math></inline-formula> is velocity, <inline-formula><mml:math id="M40" display="inline"><mml:mi mathvariant="bold">Ω</mml:mi></mml:math></inline-formula> is the
Earth's rotation angular velocity, <inline-formula><mml:math id="M41" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">ρ</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> is the average density,
<inline-formula><mml:math id="M42" display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula> is pressure, <inline-formula><mml:math id="M43" display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mi>m</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is the vertical eddy viscosity
coefficient and <inline-formula><mml:math id="M44" display="inline"><mml:mi mathvariant="bold-italic">F</mml:mi></mml:math></inline-formula> is horizontal diffusion.</p>
      <p>Second, according to the hydrostatic approximation used in FVCOM (as shown
in Eq. 2), the pressure gradient is given as the product of density times
the gravitational acceleration. This results in Eq. (3), which indicates
that pressure gradient can be decomposed into the effects of the barotropic
and baroclinic components, as shown in Eq. (4).

                <disp-formula specific-use="align" content-type="numbered"><mml:math id="M45" display="block"><mml:mtable displaystyle="true"><mml:mlabeledtr id="Ch1.E2"><mml:mtd/><mml:mtd><mml:mstyle class="stylechange" displaystyle="true"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>P</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>z</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>=</mml:mo><mml:mi mathvariant="italic">ρ</mml:mi><mml:mi>g</mml:mi><mml:mo>,</mml:mo></mml:mrow></mml:mtd></mml:mlabeledtr><mml:mlabeledtr id="Ch1.E3"><mml:mtd/><mml:mtd><mml:mstyle class="stylechange" displaystyle="true"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><?xmltex \hack{\hbox\bgroup\fontsize{9.5}{9.5}\selectfont$\displaystyle}?><mml:msub><mml:mi>P</mml:mi><mml:mi>z</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:munderover><mml:mo movablelimits="false">∫</mml:mo><mml:mi>z</mml:mi><mml:mi mathvariant="italic">η</mml:mi></mml:munderover><mml:mi mathvariant="italic">ρ</mml:mi><mml:mi>g</mml:mi><mml:mtext>d</mml:mtext><mml:mi>z</mml:mi><mml:mo>=</mml:mo><mml:munderover><mml:mo movablelimits="false">∫</mml:mo><mml:mi>z</mml:mi><mml:mi mathvariant="italic">η</mml:mi></mml:munderover><mml:mfenced close=")" open="("><mml:msub><mml:mi mathvariant="italic">ρ</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>+</mml:mo><mml:msup><mml:mi mathvariant="italic">ρ</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mfenced><mml:mi>g</mml:mi><mml:mtext>d</mml:mtext><mml:mi>z</mml:mi><mml:mo>=</mml:mo><mml:msub><mml:mi mathvariant="italic">ρ</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mi>g</mml:mi><mml:mo>(</mml:mo><mml:mi>z</mml:mi><mml:mo>+</mml:mo><mml:mi mathvariant="italic">η</mml:mi><mml:mo>)</mml:mo><mml:mo>+</mml:mo><mml:munderover><mml:mo movablelimits="false">∫</mml:mo><mml:mi>z</mml:mi><mml:mi mathvariant="italic">η</mml:mi></mml:munderover><mml:msup><mml:mi mathvariant="italic">ρ</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mi>g</mml:mi><mml:mtext>d</mml:mtext><mml:mi>z</mml:mi><mml:mo>,</mml:mo><?xmltex \hack{$\egroup}?></mml:mrow></mml:mtd></mml:mlabeledtr><mml:mlabeledtr id="Ch1.E4"><mml:mtd/><mml:mtd><mml:mstyle displaystyle="true" class="stylechange"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:mi mathvariant="normal">∇</mml:mi><mml:mi mathvariant="bold-italic">P</mml:mi><mml:mo>=</mml:mo><mml:msub><mml:mi mathvariant="italic">ρ</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mi>g</mml:mi><mml:mi mathvariant="normal">∇</mml:mi><mml:mi mathvariant="italic">η</mml:mi><mml:mo>+</mml:mo><mml:mi mathvariant="normal">∇</mml:mi><mml:mfenced close=")" open="("><mml:munderover><mml:mo movablelimits="false">∫</mml:mo><mml:mi>z</mml:mi><mml:mi mathvariant="italic">η</mml:mi></mml:munderover><mml:msup><mml:mi mathvariant="italic">ρ</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mi>g</mml:mi><mml:mtext>d</mml:mtext><mml:mi>z</mml:mi></mml:mfenced><mml:mo>,</mml:mo></mml:mrow></mml:mtd></mml:mlabeledtr></mml:mtable></mml:math></disp-formula>

            where <inline-formula><mml:math id="M46" display="inline"><mml:mi mathvariant="italic">ρ</mml:mi></mml:math></inline-formula> is density, <inline-formula><mml:math id="M47" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">ρ</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> is density anomaly, <inline-formula><mml:math id="M48" display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula> is the gravitational
acceleration and <inline-formula><mml:math id="M49" display="inline"><mml:mi mathvariant="italic">η</mml:mi></mml:math></inline-formula> is sea surface height.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><caption><p><bold>(a)</bold> Distribution of flow axes in the ECS in winter. The black
arrows show the maximum velocity (m s<inline-formula><mml:math id="M50" 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 the vertical profile (VMV)
and the color shows the speed of the VMV. The two blue arrows labeled IB and
OB represent the flow axes of the inshore branch and offshore branch.
The red line DL1 represents the dividing line between the coastal current and
inshore branch, and the red line DL2 separates the two TWC branches.
<bold>(b)</bold> Depth (m) of flow axes in the ECS are shown by color. Sections S1–S6
were selected to study the wintertime TWC. <bold>(c)</bold> Flux of inshore branch
(blue) and offshore branch (red) at different latitudes. Dashed lines show the
positions of Sections S1–S6. Note, the scale is not linear.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://os.copernicus.org/articles/13/105/2017/os-13-105-2017-f05.png"/>

        </fig>

      <p>Finally, the momentum equation is vertically integrated to estimate momentum
balance for the water column. Since the horizontal diffusion is a comparatively
small term, it is neglected for simplicity.
<?xmltex \hack{\newpage}?><?xmltex \hack{\vspace*{-5mm}}?>

                <disp-formula specific-use="align" content-type="numbered"><mml:math id="M51" display="block"><mml:mtable displaystyle="true"><mml:mtr><mml:mtd><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:msub><mml:munder><mml:mrow><mml:munderover><mml:mo movablelimits="false">∫</mml:mo><mml:mrow><mml:mo>-</mml:mo><mml:mi>H</mml:mi></mml:mrow><mml:mn mathvariant="normal">0</mml:mn></mml:munderover><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mo>∂</mml:mo><mml:mi mathvariant="bold-italic">V</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mrow><mml:mo mathvariant="normal">︸</mml:mo></mml:munder><mml:mtext>Acceleration</mml:mtext></mml:msub></mml:mrow></mml:mtd><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:mo>+</mml:mo><mml:msub><mml:munder><mml:mrow><mml:munderover><mml:mo movablelimits="false">∫</mml:mo><mml:mrow><mml:mo>-</mml:mo><mml:mi>H</mml:mi></mml:mrow><mml:mn mathvariant="normal">0</mml:mn></mml:munderover><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:mi mathvariant="bold">Ω</mml:mi><mml:mo>×</mml:mo><mml:mi mathvariant="bold-italic">V</mml:mi></mml:mrow><mml:mo mathvariant="normal">︸</mml:mo></mml:munder><mml:mtext>Coriolis</mml:mtext></mml:msub><mml:msub><mml:munder><mml:mrow><mml:mo>+</mml:mo><mml:munderover><mml:mo movablelimits="false">∫</mml:mo><mml:mrow><mml:mo>-</mml:mo><mml:mi>H</mml:mi></mml:mrow><mml:mn mathvariant="normal">0</mml:mn></mml:munderover><mml:mo>(</mml:mo><mml:mi>V</mml:mi><mml:mo>⋅</mml:mo><mml:mi mathvariant="normal">∇</mml:mi><mml:mi mathvariant="bold-italic">V</mml:mi><mml:mo>)</mml:mo></mml:mrow><mml:mo mathvariant="normal">︸</mml:mo></mml:munder><mml:mtext>Advection</mml:mtext></mml:msub></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mstyle class="stylechange" displaystyle="true"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:mo>=</mml:mo><mml:msub><mml:munder><mml:mrow><mml:msub><mml:munder><mml:mrow><mml:mo>-</mml:mo><mml:mi>g</mml:mi><mml:mi>H</mml:mi><mml:mi mathvariant="normal">∇</mml:mi><mml:mi mathvariant="italic">η</mml:mi></mml:mrow><mml:mo mathvariant="normal">︸</mml:mo></mml:munder><mml:mtext>Barotropic</mml:mtext></mml:msub><mml:msub><mml:munder><mml:mrow><mml:mo>-</mml:mo><mml:munderover><mml:mo movablelimits="false">∫</mml:mo><mml:mrow><mml:mo>-</mml:mo><mml:mi>H</mml:mi></mml:mrow><mml:mn mathvariant="normal">0</mml:mn></mml:munderover><mml:mi mathvariant="normal">∇</mml:mi><mml:mfenced close=")" open="("><mml:munderover><mml:mo movablelimits="false">∫</mml:mo><mml:mi>z</mml:mi><mml:mi mathvariant="italic">η</mml:mi></mml:munderover><mml:msup><mml:mi mathvariant="italic">ρ</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mi>g</mml:mi><mml:mtext>d</mml:mtext><mml:mi>z</mml:mi></mml:mfenced></mml:mrow><mml:mo mathvariant="normal">︸</mml:mo></mml:munder><mml:mtext>Baroclinic</mml:mtext></mml:msub></mml:mrow><mml:mo mathvariant="normal">︸</mml:mo></mml:munder><mml:mtext>Total Pressure</mml:mtext></mml:msub></mml:mrow></mml:mtd></mml:mtr><mml:mlabeledtr id="Ch1.E5"><mml:mtd/><mml:mtd><mml:mstyle displaystyle="true" class="stylechange"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:mo>+</mml:mo><mml:msub><mml:munder><mml:mrow><mml:msub><mml:mi mathvariant="italic">ρ</mml:mi><mml:mtext>a</mml:mtext></mml:msub><mml:msub><mml:mi>C</mml:mi><mml:mtext>D</mml:mtext></mml:msub><mml:mo>|</mml:mo><mml:mi mathvariant="bold-italic">U</mml:mi><mml:mo>|</mml:mo><mml:mi mathvariant="bold-italic">U</mml:mi></mml:mrow><mml:mo mathvariant="normal">︸</mml:mo></mml:munder><mml:mrow><mml:msub><mml:mi mathvariant="italic">τ</mml:mi><mml:mtext>a</mml:mtext></mml:msub></mml:mrow></mml:msub><mml:msub><mml:munder><mml:mrow><mml:mo>-</mml:mo><mml:msub><mml:mi>k</mml:mi><mml:mtext>b</mml:mtext></mml:msub><mml:mo>|</mml:mo><mml:msub><mml:mi mathvariant="bold-italic">V</mml:mi><mml:mtext>b</mml:mtext></mml:msub><mml:mo>|</mml:mo><mml:msub><mml:mi mathvariant="bold-italic">V</mml:mi><mml:mtext>b</mml:mtext></mml:msub></mml:mrow><mml:mo mathvariant="normal">︸</mml:mo></mml:munder><mml:mrow><mml:msub><mml:mi mathvariant="italic">τ</mml:mi><mml:mtext>b</mml:mtext></mml:msub></mml:mrow></mml:msub><mml:mo>,</mml:mo></mml:mrow></mml:mtd></mml:mlabeledtr></mml:mtable></mml:math></disp-formula>

            where <inline-formula><mml:math id="M52" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">τ</mml:mi><mml:mtext>a</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> is wind stress and <inline-formula><mml:math id="M53" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">τ</mml:mi><mml:mtext>b</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> is bottom stress,
<inline-formula><mml:math id="M54" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">ρ</mml:mi><mml:mtext>a</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> is the density of air, <inline-formula><mml:math id="M55" display="inline"><mml:mi mathvariant="bold-italic">U</mml:mi></mml:math></inline-formula> is the wind speed at 10 m
above sea surface, <inline-formula><mml:math id="M56" display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mtext>D</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> is a drag coefficient at the sea
surface (which varies with wind speed <inline-formula><mml:math id="M57" display="inline"><mml:mi mathvariant="bold-italic">U</mml:mi></mml:math></inline-formula>), <inline-formula><mml:math id="M58" display="inline"><mml:mrow><mml:msub><mml:mi>k</mml:mi><mml:mtext>b</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> is a
bottom friction coefficient (<inline-formula><mml:math id="M59" display="inline"><mml:mrow><mml:msub><mml:mi>k</mml:mi><mml:mtext>b</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M60" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.005) and <inline-formula><mml:math id="M61" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="bold-italic">V</mml:mi><mml:mtext>b</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> is
the simulated velocity at the bottom.</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <title>Results</title>
<sec id="Ch1.S3.SS1">
  <title>Mean distribution of TWC in winter</title>
      <p>Since the observational results (Su and Pan, 1987; Zeng et al., 2012) show
that both branches of the wintertime TWC are flowing in the subsurface, we
use the vertical maximum velocity (VMV) and its corresponding depth as two
indices to quantify the strength of the subsurface currents (Fig. 5).</p>
      <p>As stated above, the distribution of the VMV shows two branches of the TWC
(Fig. 5a). The inshore branch (Fig. 5a, blue arrow of IB), which was located
between the 30 and 100 m isobaths, followed a straight route from the
northwest of Taiwan to the northern ECS shelf. The offshore branch (Fig. 5a,
blue arrow of OB) existed near the 100 m isobath and had two meanders. The
two meanders turn to the cross-shore direction along latitudes
26.5 and 28<inline-formula><mml:math id="M62" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N. These two branches are further
illustrated in the distributions of current speed along the six TWC cross
sections (S1–S6), which were located at critical points in the two meanders
(Fig. 6). From the VMV structure, it can be inferred that the intrusions of
the TSC and the Kuroshio Current both affected the origin of the offshore
branch (Fig. 6, S1–S3).</p>
      <p>We further examined the subsurface current core using the depth of the VMV
(Fig. 5b). We found that the VMV of the TWC was located 40–60 m below the
surface at the inshore branch and 20–40 m below the surface at the offshore
branch. Figure 6 shows the VMV positions in the subsurface layer; furthermore, it
illustrates that the depth of the subsurface VMV in the inshore branch was
deeper than that in the offshore branch. The difference can be explained by
the combined effects of baroclinicity and wind friction. Assuming a
relatively spatially homogeneous heat loss, different cooling occurs, due to
the smaller heat capacity of the shallow coastal water compared to the
deeper offshore waters, hence generating a northwestward horizontal density
gradient leading to a northeastward thermal current (vertical current shear)
according to the thermal wind relationship, resulting in an
upward-increasing northeastward flow. The northeasterly wind in winter
weakens the northeastward TWC, particularly in the upper layer, which leads
to the formation of the subsurface VMV. Therefore, the fact that the depth
of the subsurface current core in the inshore branch is greater than that in
the offshore branch indicates weaker baroclinicity or stronger wind friction
on the inshore branch than on the offshore branch.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6"><caption><p>Distributions of current speed along the six sections S1–S6 in winter.
The blue arrow on the left indicates the inshore branch according to the velocity
cores from section S3 to S6. The blue arrow on the right indicates the offshore
branch according to the velocity cores from section S2 to S6. TSC is the Taiwan
Strait Warm Current.</p></caption>
          <?xmltex \igopts{width=199.169291pt}?><graphic xlink:href="https://os.copernicus.org/articles/13/105/2017/os-13-105-2017-f06.jpg"/>

        </fig>

      <p>The magnitude of the wintertime TWC was obtained by flux analysis. Two
dividing lines (Fig. 5a, red lines) were defined as the boundaries for the
ZMCC: the TWC inshore branch, and the TWC offshore branch, which had the
weakest flows. The flux of each branch (Fig. 5c) was calculated using the
horizontal integration between the boundaries and the vertical integration
in the water column. The inshore branch intensifies along its way and
becomes significant north of 26.5<inline-formula><mml:math id="M63" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, showing particularly strong
flow velocities between 27.5 and 28.0<inline-formula><mml:math id="M64" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N. In this area, the
subsurface current was much stronger from S4 to S5 than in the other areas
(Fig. 6). The flux in the entire offshore branch was large, particularly north of Taiwan.</p>
</sec>
<sec id="Ch1.S3.SS2">
  <title>Synoptic fluctuations</title>
      <p>The observations (Fig. 4) have demonstrated that the synoptic fluctuation in
the TWC inshore branch (near 121.5<inline-formula><mml:math id="M65" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, 27.0<inline-formula><mml:math id="M66" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N) is
significant. We further investigated the regional difference of fluctuations
in the two TWC branches in winter 2009 using the following three steps:
(i) two regions with significant fluctuations are identified by the current
standard deviations of the VMV (Fig. 7) and the corresponding temporal
variation of vertical structures at their extremes (Fig. 8); (ii) each of
the two significant fluctuations is decomposed into EOF components (Fig. 9);
and (iii) the influence factors, such as wind, upstream currents, and net
surface heat flux, are investigated by examining their correlations with the
first two leading EOF components (Figs. 10 and 11).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7"><caption><p>Current standard deviation in the layer of the VMV. The black arrows
indicate the major axis of the ellipse, which represent the standard deviation
of the current. The color shading shows the respective magnitude. The two blue
arrows indicate the two TWC branches. The red curve indicates the area where the
current standard deviation is larger than 0.1 m s<inline-formula><mml:math id="M67" 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 branches'
representative points (P1 and P2) are selected for later analysis.</p></caption>
          <?xmltex \igopts{width=170.716535pt}?><graphic xlink:href="https://os.copernicus.org/articles/13/105/2017/os-13-105-2017-f07.jpg"/>

        </fig>

      <p>The current standard deviations (Fig. 7) show that prominent fluctuations
occurred in two regions: north of Taiwan and the inshore area. The standard
deviations of VMV at the two regions were larger than 0.1 m s<inline-formula><mml:math id="M68" 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> (comparable to
the mean currents). In the area north of Taiwan, the fluctuation was located
in the origin area of the TWC offshore branch. The fluctuation in this
region was in phase with the fluctuation in the Taiwan Strait, indicating
that the TSC played an important role in generating the fluctuation north of
Taiwan (to a greater extent than did the Kuroshio intrusion). The TWC
fluctuation had a strong cross-shore component, which means the fluctuation
transported the water north of Taiwan to both the inshore and offshore
branches. In the inshore area, the fluctuations were influencing a wide
region between the 30 and 100 m isobaths, with a magnitude that was
sometimes larger than the mean flow (Fig. 5a). These strong fluctuations led
to an episodic occurrence of the TWC inshore branch, as observed at the site
off the Zhe-Min coast (Fig. 4, red color). When the TWC inshore branch was
weakened due to these fluctuations, the ZMCC might even dominate a wide
region out to the 100 m isobath, especially at the surface (Fig. 4, blue color).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><caption><p>Variation of alongshore currents (m s<inline-formula><mml:math id="M69" 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>, shown by color scale)
for the entire water column north of Taiwan (P1) and in the inshore area (P2)
and their relation with upper mixed layer depth. The positive velocity (warm
color) indicates the occurrence of the TWC. The gray solid lines show the depth
of the upper mixed layer.</p></caption>
          <?xmltex \igopts{width=284.527559pt}?><graphic xlink:href="https://os.copernicus.org/articles/13/105/2017/os-13-105-2017-f08.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9"><caption><p>The spatial pattern of the first (EOF1; left panels) and second (EOF2;
right panels) leading modes of the VMV in the ECS: <bold>(a)</bold> EOF1 currents,
<bold>(b)</bold> EOF2 currents, <bold>(c)</bold> EOF1 alongshore component,
<bold>(d)</bold> EOF2 alongshore component, <bold>(e)</bold> EOF1 cross-shore component
and <bold>(f)</bold> EOF2 cross-shore component (all shown by black arrows with the
color representing the magnitude). The 30, 50, 70, 100 and 200 m isobaths are
indicated with gray lines.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://os.copernicus.org/articles/13/105/2017/os-13-105-2017-f09.jpg"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F10" specific-use="star"><caption><p>Temporal variation of EOF1, north–south component of wind speed,
surface net heat flux, and TSC flux across the TWS section, and Kuroshio flux
across the ET section. Their linear correlation coefficients <inline-formula><mml:math id="M70" display="inline"><mml:mi>R</mml:mi></mml:math></inline-formula> and time lags
are also indicated in each panel. The <inline-formula><mml:math id="M71" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> value is a declining indicator, which
indicates the impact significance of the linear correlation coefficients <inline-formula><mml:math id="M72" display="inline"><mml:mi>R</mml:mi></mml:math></inline-formula>,
whereby <inline-formula><mml:math id="M73" display="inline"><mml:mi>R</mml:mi></mml:math></inline-formula> has statistical significance and the confidence level is larger
than 95 % when the <inline-formula><mml:math id="M74" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> value is less than 0.05.</p></caption>
          <?xmltex \igopts{width=284.527559pt}?><graphic xlink:href="https://os.copernicus.org/articles/13/105/2017/os-13-105-2017-f10.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F11" specific-use="star"><caption><p>Temporal variation of EOF2, north–south component of wind speed,
surface net heat flux, and TSC flux across the TWS section, and Kuroshio flux
across the ET section. Their linear correlation coefficients and time lags are
also indicated in each panel.</p></caption>
          <?xmltex \igopts{width=284.527559pt}?><graphic xlink:href="https://os.copernicus.org/articles/13/105/2017/os-13-105-2017-f11.png"/>

        </fig>

      <p>The vertical structures of the fluctuations north of Taiwan and in the
inshore area at two representative points and their relation with the upper
mixed layer depth are further analyzed (Fig. 8). The major component (the
alongshore current) of the TWC in each of the two regions (P1 and P2, Fig. 7)
is used to show the vertical structure of the fluctuation. The depths of
the upper mixed layer were determined by a Richardson number criterion
(Mellor and Durbin, 1975; Grachev et al., 2013; Richardson et al., 2013),
i.e., where the critical Richardson number equals 0.25 in this paper (as in
Xuan et al., 2012b). The mean depth of the upper mixed layer north of Taiwan
(20 m) was much shallower than the mean depth of the inshore area (42 m).
However, the TWC (Fig. 8, warm color) fluctuated with significant variations
of the upper mixed layer depth (Fig. 8, gray lines) in both areas. When the
upper mixed layer deepened, the northeastward TWC (Fig. 8, warm color) was
weakened or even replaced by the southwestward ZMCC, and vice versa. Wind
and surface cooling, which both drive the mixed layer depth, can affect the TWC fluctuation.</p>
      <p>The TWC fluctuations were further decomposed into EOF modes. The first two
leading EOF modes account for 54 and 37 % of the total variances (Fig. 9),
associated with the two prominent fluctuations north of Taiwan and in
the inshore area (Fig. 7). Both EOF modes had a maximum fluctuation larger
than 0.2 m s<inline-formula><mml:math id="M75" 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> (comparable to the mean currents). The spatial pattern of the
first EOF mode (EOF1; Fig. 9a) shows that the fluctuation continued from the
Taiwan Strait to the area north of Taiwan, indicating that the fluctuation
north of Taiwan was related to the TSC and not to the Kuroshio Current. The
alongshore component also showed a strong fluctuation in the Taiwan Strait,
which means that the TSC episodically intruded the shelf. The cross-shore
component revealed a fluctuation north of Taiwan that was larger than
0.1 m s<inline-formula><mml:math id="M76" 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 cross-shore fluctuation impacted on the trajectory of the Taiwan Strait (TWS)
water, synoptically flowing into the TWC inshore branch, offshore branch or Kuroshio Current.</p>
      <p>The spatial pattern of the second EOF mode (EOF2; Fig. 9b) shows a synoptic
fluctuation in the inshore area. The area with alongshore fluctuation (Fig. 9d)
larger than 0.1 m s<inline-formula><mml:math id="M77" 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 located between the 30 and 100 m isobaths, which
demonstrates that the TWC could episodically affect this area. In addition,
there were cross-shore fluctuations in the inshore area (Fig. 9f), mostly
along the latitudes 26.5 and 28<inline-formula><mml:math id="M78" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N. The latitudes of
larger cross-shore fluctuations agreed well with the latitudes where the TWC
offshore branch of the mean currents (Fig. 5a) turned to the cross-shore
direction. This indicated that the cross-shore transports were most
significant at the latitudes 26.5 and 28<inline-formula><mml:math id="M79" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, according to both the
mean currents and the synoptic fluctuations.</p>
      <p>Figure 10 shows the temporal variation of EOF1 and its relation to the
north–south component of wind speed, net surface heat flux, the TSC and the
Kuroshio Current. We found a close correlation between EOF1 and TSC (<inline-formula><mml:math id="M80" display="inline"><mml:mi>R</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M81" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.86),
demonstrating that the TSC played the most important role in
generating the TWC fluctuation north of Taiwan. The EOF1 and TSC were
positively correlated, meaning that a larger TSC intrusion north of Taiwan
leads to a cross-shore current from the coastal area to the offshore area
and that a weak TSC intrusion causes a cross-shore current from offshore to
inshore north of Taiwan.</p>
      <p>Figure 11 shows the temporal variation of EOF2 and its relation with the
north–south component of wind speed, net surface heat flux, the TSC and the
Kuroshio Current. It can be seen that EOF2 and wind are well correlated
(<inline-formula><mml:math id="M82" display="inline"><mml:mi>R</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M83" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.89), indicating the important role of wind in generating the TWC
fluctuation in the inshore area. The northeasterly monsoon would greatly
enhance the southwestward ZMCC, which would then replace the northeastward
TWC in the inshore area.</p>
</sec>
<sec id="Ch1.S3.SS3">
  <title>Dynamic diagnostics</title>
      <p>The wintertime (January and February 2009) mean of the water column momentum
balance (Fig. 12) is used to show the overall distribution of the
fundamental forces over the ECS shelf. The Coriolis force (Fig. 12a) is
mainly balanced by the total pressure (Fig. 12b) in both branches,
indicating the dominant role of geostrophic balance in the wintertime TWC.
However, the wind-induced surface friction plays an important role in the
TWC, especially in the inshore area and the Taiwan Strait (Fig. 12c). The
bottom friction has an impact north of Taiwan and in the shallow Taiwan
Strait, in particular when significant Kuroshio intrusion enhances the
bottom flow (Fig. 12d). The effects of advection and acceleration are
predominantly local indicated by mostly incoherent small-scale distributions
(Fig. 12e and f); therefore, they can be ignored when studying the large-scale
current of the wintertime TWC.</p>
      <p>The variation of the driving forces at two representative points P1 and P2
was used to analyze the dynamics of synoptic fluctuations north of Taiwan
and in the inshore area. Regarding the results from the EOF analysis, the
three force terms, namely, Coriolis, total pressure and wind (Fig. 13), were
selected to investigate the effect of the TSC on the fluctuation north of
Taiwan (Fig. 9a) and the effect of wind on the fluctuation in the inshore area (Fig. 9b).</p>
      <p>In the area north of Taiwan, the cross-shore fluctuations were induced by
the TSC intrusion. The variation of alongshore Coriolis force (Fig. 13a,
black line) was much greater than the cross-shore Coriolis force (Fig. 13b,
black line), which means that the fluctuation north of Taiwan was mainly in
the cross-shore direction. The Coriolis force (Fig. 13a, black line) was
mainly balanced by the total pressure (Fig. 13a, blue line), which means the
currents fluctuations north of Taiwan are dominated by geostrophic balance.
As mentioned in Sect. 3.2, the TWC fluctuation north of Taiwan was
associated with the TSC rather than with the Kuroshio Current. Therefore, in
the shallow coastal area the TSC mainly caused variations in the
depth-independent barotropic pressure gradients, which further generated the
cross-shore fluctuation. The mechanism can be interpreted as follows. When a
larger TSC intrusion occurred, the isobaric slope tilted downward from south
to north, generating a cross-shore current from the coastal area to the
offshore area. On the contrary, when the TSC intrusion was weak, the
Kuroshio intrusion from offshore to inshore dominated north of Taiwan.</p>
      <p>Wind friction (Fig. 13c and d) was a fundamental factor in generating the
fluctuations in the inshore area. Although the geostrophic balance dominated
in the inshore branch for most of the time, the episodically strong winter
monsoon had an important role in generating the TWC fluctuations. The
northwestward direction Coriolis force (Fig. 13c, black line) shows that the
southwestward ZMCC occurred on 12, 22 January and 14 February 2009, and was
associated with a northeasterly wind (Fig. 13c, red line). It indicates that
strong northeasterly monsoon in winter can reduce or even stop the
northeastward TWC in the inshore area, causing the intermittency of the TWC inshore branch.</p>
</sec>
</sec>
<sec id="Ch1.S4">
  <title>Discussion</title>
      <p>Simulated results in the winters (December–March) of the years 2010 to 2013
(Fig. 14) show that general structures of the TWC in the other winters were
similar to that in winter 2009 (Figs. 5 and 9), which indicates that the
results from the winter 2009 can be regarded as representative for the
winter situation. The two TWC branches and the two areas of strong
fluctuations were present in all winters from 2009 to 2013, although their
strength showed a certain interannual variability in accordance with the
changing surface forcing and boundary fluxes.</p>
      <p>The wintertime TWC, which is manifested by two subsurface branches and
significant synoptic fluctuations, has a very different structure when
compared with the stationary and surface summertime TWC reported in previous
studies (Guan, 1978; Fang et al., 1991; Isobe, 2008). The synoptic events,
with timescales of 3–15 days, play a dominant role on the horizontal
advective transports. According to Ledwell et al. (1998) synoptic variations
are much more effective on the horizontal transport than variations on
shorter timescales. The synoptic fluctuations modulate the spatial
structure of the wintertime TWC, especially when their magnitudes are
comparable with that of the mean currents, such as the two prominent
fluctuations north of Taiwan and in the inshore area (Fig. 7). Therefore,
the two prominent fluctuations will be discussed next in terms of their
contributions to the alongshore and cross-shore transports.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F12" specific-use="star"><caption><p>The effects of Coriolis force <bold>(a)</bold>, total pressure <bold>(b)</bold>,
surface friction <bold>(c)</bold>, bottom friction <bold>(d)</bold>, advection <bold>(e)</bold>
and local acceleration <bold>(f)</bold> for water column in winter according to
Eq. (5) (shown by black arrows with the color representing the magnitude; units:
10<inline-formula><mml:math id="M84" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> m<inline-formula><mml:math id="M85" 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="M86" 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>). The two blue arrows indicate the two TWC branches.
The two triangles indicate the two regions with significant fluctuation north
of Taiwan (P1) and in the inshore area (P2).</p></caption>
        <?xmltex \igopts{width=284.527559pt}?><graphic xlink:href="https://os.copernicus.org/articles/13/105/2017/os-13-105-2017-f12.jpg"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F13"><caption><p>Variations in Coriolis force, total pressure, and wind in the cross-shore
direction at P1 <bold>(a)</bold>, the alongshore direction at P1 <bold>(b)</bold>, the
cross-shore direction at P2 <bold>(c)</bold> and the alongshore direction at
P2 <bold>(d)</bold> according to Eq. (5). The gray pointers indicate the alongshore
and cross-shore directions of dynamical effects in the Earth coordinate system.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://os.copernicus.org/articles/13/105/2017/os-13-105-2017-f13.png"/>

      </fig>

<sec id="Ch1.S4.SS1">
  <title>Cross-shore transport north of Taiwan induced by the TSC</title>
      <p>In the area north of Taiwan, the TSC intrusion generated strong fluctuations
of the TWC in the cross-shore direction (Fig. 9a). When a larger TSC
intrusion occurred, the isobaric slope tilted downward from south to north,
generating a cross-shore current from the coastal area to the offshore area.
Compared to the reported summer route that transports Taiwan Strait water to
the inshore area between the 30 and 100 m isobaths (Guan, 1978; Fang et al.,
1991; Isobe, 2008; Yang et al., 2011, 2012), our results showed that most
Taiwan Strait water was transported to the TWC offshore branch and to the
Kuroshio area as a result of the cross-shore fluctuations induced by the
synoptic TSC intrusion.</p>
      <p>A numerical tracer simulation was used to analyze the role of the
cross-shore fluctuation in the transport of the TSC water and the Kuroshio
water north of Taiwan. In order to demonstrate the characteristics of the
flow patterns more clearly, artificial tracers are released in the model
domain and transported by the velocity field provided by the FVCOM
simulation. The tracer running was part of the FVCOM simulation; therefore,
all the abovementioned dynamics were involved, e.g., tide, wind and
boundary forces. The release location and start date of the particles were
configured as follows. Two sections, one in the Taiwan Strait (Fig. 15a,
black dots) and another in the East Taiwan Channel (Fig. 15b, black dots),
were selected as the source locations for the water masses of the TSC and
the Kuroshio, respectively. The particles were released on 1 January 2009
and tracked until 31 March 2009 (a total of 90 days).</p>
      <p><?xmltex \hack{\newpage}?>Figure 15a shows the traces originating from the TSC area. Unlike the
traditional route, where the TSC water flows from the Taiwan Strait to the
inshore area between the 30 and 100 m isobaths, most particles (Fig. 15a,
gray lines) were concentrated in the offshore branch under the effect of
cross-shore fluctuation. Two particles were selected to show the inshore
route (Fig. 15a, red line) and offshore route (Fig. 15a, blue line), with
both passing the area north of Taiwan. When the two particles arrived at the
area north of Taiwan, the behavior of the tracers, according to specific
velocity conditions (Fig. 15c), was very different; a northwestward
transport occurred on 25 January for the inshore particles (Fig. 15c) and a
northeastward transport occurred on 12 February for the offshore particles
(Fig. 15c). The velocity conditions in the area north of Taiwan corresponded to
the variation of the Taiwan Strait flux (Fig. 10), which shows that the
Taiwan Strait flux on 12 February was much greater than on 25 January. Therefore,
it can be concluded that the TSC intrusion induced an offshore transport north of Taiwan.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F14" specific-use="star"><caption><p>Mean currents (upper panels) and synoptic fluctuations (EOF1 in middle
panels and EOF2 in bottom panels) in the winters of 2010–2013. The black arrows in
the upper panels show the velocity (m s<inline-formula><mml:math id="M87" 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 the layer of VMV with the
color representing the current speed. The two blue arrows with label IB and OB
represent the flow axes of the inshore branch and offshore branch, respectively.
The black arrows in the middle panels and bottom panels represent the EOF
components (m s<inline-formula><mml:math id="M88" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) with their magnitude represented by color scales.</p></caption>
          <?xmltex \igopts{width=455.244094pt}?><graphic xlink:href="https://os.copernicus.org/articles/13/105/2017/os-13-105-2017-f14.jpg"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F15" specific-use="star"><caption><p>Traces of TSC water <bold>(a)</bold> and Kuroshio water <bold>(b)</bold> in
winter, with the variation of surface currents north of Taiwan <bold>(c)</bold>.
The green lines L1 and L2 indicate the starting latitude of the tracers
(24.5<inline-formula><mml:math id="M89" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N) and the latitude which is representative for synoptic
fluctuations north of Taiwan (25.8<inline-formula><mml:math id="M90" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N), respectively. The black dots
represent the release locations of tracers originated from line L1. The gray
lines show the entire trajectories of the tracers. The red lines and blue lines
are selected trajectories, which are close to the inshore branch and offshore
branch, respectively. The dates show the times when selected tracers cross the
latitude indicated by line L2. The numbers are the depths of the tracers, which
are labeled at an interval of 6 days. The two black arrows represent the two
TWC branches.</p></caption>
          <?xmltex \igopts{width=284.527559pt}?><graphic xlink:href="https://os.copernicus.org/articles/13/105/2017/os-13-105-2017-f15.jpg"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F16" specific-use="star"><caption><p>The VMV under the northerly wind <bold>(a)</bold> and southerly wind <bold>(b)</bold>.
<bold>(c)</bold> shows the variation of wind in winter. Blue vectors and red vectors
show the southwestward coastal current and the northeastward TWC, respectively.
Gray contours indicate the 30, 50, 70, and 100 m isobaths. The two black arrows
represent the two TWC branches. The green ellipse indicates the inshore area
with significant fluctuation.</p></caption>
          <?xmltex \igopts{width=284.527559pt}?><graphic xlink:href="https://os.copernicus.org/articles/13/105/2017/os-13-105-2017-f16.jpg"/>

        </fig>

      <p>Figure 15b shows the traces originating from the Kuroshio area. In the same
way as the TSC water, the Kuroshio water was also transported to the
northern shelf via both the inshore branch and the offshore branch. The
separation of the two branches north of Taiwan was caused by cross-shore
fluctuations of the currents. When the two particles arrived at the area
north of Taiwan, a northwestward transport occurred on Feb. 2 for the
inshore particles (Fig. 15c) and a northeastward transport occurred on Feb.
12 for the offshore particles (Fig. 15c). This means that the offshore
transport induced by the TSC also had an effect on the distribution of
Kuroshio water north of Taiwan. Liu et al. (2016) showed that the winter TSC
originated from a small branch of Kuroshio intrusion into the Luzon Strait.
Our results complement this picture, since they show that most TSC particles
flow into the TWC offshore branch under the influence of cross-shore fluctuation.</p>
      <p>Our results may underestimate the impact of Kuroshio intrusion on the
fluctuation of the TWC northeast of Taiwan, especially at the seasonal and
interannual timescales. Wei et al. (2013) demonstrated that the annual and
interannual variations of the Kuroshio volume transport are large. In
addition, Zhou et al. (2015) pointed out that the annual and interannual
variations of the Kuroshio intrusion northeast of Taiwan are prominent. X. Liu
et al. (2014b) presented supportive evidence that the Kuroshio intrusion,
from east of Taiwan to the onshore area north of Taiwan, is closely related
to the Kuroshio volume transport. This relation between the Kuroshio
intrusion and the Kuroshio volume transport had been interpreted by Su and
Pan (1987) as the <inline-formula><mml:math id="M91" display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula> effect because of the sudden change in
topography northeast of Taiwan. Our results show that the intraseasonal
variation of the Kuroshio intrusion and the Kuroshio volume transport was
negligible compared with the TSC variation at the same timescale,
indicating that the synoptic fluctuation of TWC north of Taiwan is mainly
induced by the TSC. However, because FVCOM uses sigma coordinates in the
vertical that are prone to errors in regions of steep topography, our
results may underestimate the fluctuations at the shelf break, in particular
to the northeast of Taiwan where Kuroshio intrusion occurs.</p>
</sec>
<sec id="Ch1.S4.SS2">
  <title>Water exchange in the inshore area induced by wind</title>
      <p>In the inshore area, the synoptic fluctuations of the TWC (Fig. 9b) caused
by wind were generally strong in the alongshore direction and regionally
important (along the latitudes 26.5 and 28<inline-formula><mml:math id="M92" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N) in the
cross-shore direction. The alongshore fluctuations showed that the TWC
inshore branch occurred episodically. This episodic occurrence of the TWC
agrees with the results from a previous study based on four mooring surveys
off the Zhe-Min coast (Zeng et al., 2012). The mechanism of the episodic
occurrence of the TWC was mainly associated with the winter monsoon, which
agrees with the analysis of observational data by Huang et al. (2016).
However, the overall magnitude of the TWC fluctuation, and its role in the
cross-shore flux, is still not fully understood due to the short-term
nature of the observational data.</p>
      <p>We investigated the magnitude of TWC fluctuation, and its role in the water
exchange, in the inshore area. Previous studies (Su and Pan, 1987; Zeng et
al., 2012) showed that the TWC flows between the 50 and 100 m isobaths,
whereas the ZMCC water dominates the coastal area west of the 50 m isobath
in the surface layer. As mentioned when discussing Fig. 9d, the strongest
TWC could reach the coastal area as close as the 30 m isobath, being
stronger than those reported in the literature. Moreover, the area with
large fluctuations spanned the area between the 30 and 100 m isobaths (Fig. 9b),
indicating that water between the 30 and 100 m isobaths may be either
ZMCC or TWC water.</p>
      <p>The episodic occurrence of the TWC inshore branch is directly related to the
relative importance of the southwestward ZMCC (Fig. 16, blue arrows) and the
northeastward TWC (Fig. 16, red arrows). In this paper, only wind-induced
synoptic fluctuations are considered, not short-term extreme storm events.
When the winter monsoon (the northeasterly wind) prevails, the ZMCC occupies
most of the inshore area and the TWC inshore branch weakens (Fig. 16a). On
the contrary, the TWC inshore branch can intrude into the near-coast area
under southwesterly wind conditions (Fig. 16b). The boundary between the
coastal current and the TWC may shift from the 100 m isobaths to the 30 m
isobath in the cross-shore direction, covering the entire area of the TWC inshore branch.</p>
      <p>Our results further reveal that strong wind-induced cross-shore fluctuations
occur in the inshore area (Fig. 9f). This cross-shore fluctuation has a
significant ecological impact because of the connected nutrient transport
(Zhao and Guo, 2011). Ren et al. (2015) observed a cross-shore flux in the
inshore area, which was triggered by the transition of northeasterly to
southwesterly winds. Their observed features can be further interpreted with
our result that wind-induced fluctuations can affect the cross-shore water
transport in the inshore area.</p>
      <p>The largest cross-shore fluctuations were located at the latitudes
26.5 and 28<inline-formula><mml:math id="M93" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N (Fig. 9f), which agreed well with the
latitudes where the TWC offshore meanders occurred in the mean currents
(Fig. 5a). Thus, the offshore transports were most significant along the
latitudes 26.5 and 28<inline-formula><mml:math id="M94" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N according to both the mean
currents and the synoptic fluctuations. The offshore transport may be
associated with the offshore-penetrating fronts of coastal water in the ECS.
Many remote sensing images (He et al., 2010; Bai et al., 2013) have exhibited
offshore-penetrating fronts that crossed the 70 m isobath and played an
important role in cross-shore material exchange, but the mechanisms of the
offshore-penetrating fronts are still under debate. Yuan et al. (2005)
pointed out that both downwelling- and upwelling-favorable winds are
associated with the occurrence of the offshore-penetrating front. Ren et al. (2015)
suggested that the penetrating front is generated by the transition
of northeasterly to southwesterly winds. Wu (2015) suggested that the
offshore-penetrating front is the response of buoyant coastal water to an
along-isobath undulation of the ambient pycnocline, which is controlled by a
temperature stratification of the water column. Our study offers a new
interpretation; i.e., the penetrating front is generated through the
wind-induced fluctuations and the TWC offshore meanders.</p>
</sec>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <title>Conclusions</title>
      <p>The FVCOM model was able to reproduce the wintertime TWC in 2009 reasonably
well, as shown by a validation in terms of the overall structure of the
surface mean currents, the ECS boundary fluxes and data from four mooring
stations. The validation showed that the simulated TWC was comparable to the
observed results, not only in terms of the mean currents but also in terms
of the synoptic fluctuations.</p>
      <p>The wintertime TWC showed two branches: one inshore and another offshore.
The inshore branch covered an area between the 30 and 100 m isobaths and
flowed northeastward via a straight route. The offshore branch was located
between the 100 and 200 m isobaths and showed two prominent meanders. It was
shown that the Coriolis force was nearly balanced by the pressure gradient
in both branches, indicating the dominant role of the geostrophic balance
for the mean current in both branches.</p>
      <p>Two regions with significant synoptic fluctuations, north of Taiwan and the
inshore area, were investigated using the EOF method. The first two leading
modes explained 91 % of the total variance. EOF1 showed that fluctuations
occurred in the cross-shore direction south of 26<inline-formula><mml:math id="M95" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N. These
fluctuations were mainly associated with variation of the TSC flux. EOF2
showed significant fluctuation between the 30 and 100 m isobaths. These
fluctuations caused the episodic existence of the TWC inshore branch in the
alongshore direction and cross-shore fluctuations mainly at latitudes
26.5 and 28<inline-formula><mml:math id="M96" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, which were mainly associated with the variation of wind speed.</p>
      <p>We also studied the different dynamic reasons for the fluctuations in the
two regions. In the area north of Taiwan, the TSC and Kuroshio converged to
initiate the TWC. A barotropic pressure anomaly was generated by TSC
intrusion from the Taiwan Strait causing a barotropic pressure gradient in
the alongshore direction; this explains why the synoptic fluctuations in
this area occurred in the cross-shore direction. Additionally, the wind had
a strong effect on the synoptic fluctuations in the inshore area. The
northeasterly monsoon enhanced the southwestward ZMCC and replaced the TWC
in the inshore area. This situation is reversed during the southwesterly wind.</p>
      <p>The synoptic fluctuations north of Taiwan and in the inshore area are
important for both the alongshore and cross-shore transports. Due to the
fluctuation north of Taiwan, the mixed water of the TSC and the Kuroshio was
transported to both the inshore area and the offshore area, whereas most
Taiwan Strait water was transported to the offshore area in winter. The
inshore fluctuation not only caused an episodic occurrence of the TWC in the
alongshore direction, which affected the alongshore transport of ZMCC water
and TWC water between the 30 and 100 m isobaths, but also impacted the
cross-shore transports along latitudes 26.5 and 28<inline-formula><mml:math id="M97" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N.</p>
</sec>
<sec id="Ch1.S6">
  <title>Data availability</title>
      <p>The observed and simulated currents data in the subsurface layer of the research
area are available at <uri>http://pan.baidu.com/s/1i5jwUpv</uri>.</p>
</sec>

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

      <p>The authors declare that they have no conflict of interest.</p>
  </notes><ack><title>Acknowledgements</title><p>The authors sincerely thank John M. Huthnance and the three anonymous
reviewers for insightful suggestions that improved this manuscript. This
study was jointly supported by the Sino-German cooperation in ocean and
polar research under the grant BMBF-03F0701A (CLIFLUX), the National Natural
Science Foundation of China (U1609201, 41621064, 41306025), the grant from
the scientific research fund of the Second Institute of Oceanography, SOA
(QNYC201603), and the project of State Key Laboratory of Satellite Ocean
Environment Dynamics, the Second Institute of Oceanography (SOEDZZ1512). <?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
Edited by: J. M. Huthnance <?xmltex \hack{\newline}?>
Reviewed by: three anonymous referees</p></ack><ref-list>
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    <!--<article-title-html>Synoptic fluctuation of the Taiwan Warm Current  in winter on the East China Sea shelf</article-title-html>
<abstract-html><p class="p">The seasonal mean and synoptic fluctuation of the wintertime
Taiwan Warm Current (TWC) were investigated using a well-validated finite
volume community ocean model. The spatial distribution and dynamics of the
synoptic fluctuation were highlighted. The seasonal mean of the wintertime
TWC has two branches: an inshore branch between the 30 and 100 m isobaths
and an offshore branch between the 100 and 200 m isobaths. The Coriolis term
is much larger than the inertia term and is almost balanced by the pressure
gradient term in both branches, indicating geostrophic balance of the mean
current. Two areas with significant fluctuations of the TWC were identified
during wintertime. One of the areas is located to the north of Taiwan with
velocities varying in the cross-shore direction. These significant
cross-shore fluctuations are driven by barotropic pressure gradients
associated with the intrusion of the Taiwan Strait Current (TSC). When a
strong TSC intrudes to the north of Taiwan, the isobaric slope tilts downward
from south to north, leading to a cross-shore current from the coastal area
to the offshore area. When the TSC intrusion is weak, the cross-shore
current to the north of Taiwan is directed from offshore to inshore. The
other area of significant fluctuation is located in the inshore area between
the 30 and 100 m isobaths. The fluctuations are generally strong both in the
alongshore and cross-shore directions, in particular at the latitudes
26.5 and 28° N. Wind affects the synoptic fluctuation
through episodic events. When the northeasterly monsoon prevails, the
southwestward Zhe-Min coastal current dominates the inshore area associated
with a deepening of the mixed layer. When the winter monsoon is weakened or
the southwesterly wind prevails, the northeastward TWC dominates in the inshore area.</p></abstract-html>
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