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  <front>
    <journal-meta><journal-id journal-id-type="publisher">BG</journal-id><journal-title-group>
    <journal-title>Biogeosciences</journal-title>
    <abbrev-journal-title abbrev-type="publisher">BG</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Biogeosciences</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1726-4189</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/bg-16-1447-2019</article-id><title-group><article-title>Vertical distribution of chlorophyll in dynamically distinct <?xmltex \hack{\break}?>regions of the southern Bay of Bengal</article-title><alt-title>Chlorophyll distribution in the southern BoB</alt-title>
      </title-group><?xmltex \runningtitle{Chlorophyll distribution in the southern BoB}?><?xmltex \runningauthor{V. Thushara et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Thushara</surname><given-names>Venugopal</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Vinayachandran</surname><given-names>Puthenveettil Narayana Menon</given-names></name>
          <email>vinay@iisc.ac.in</email>
        <ext-link>https://orcid.org/0000-0002-4915-5455</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Matthews</surname><given-names>Adrian J.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Webber</surname><given-names>Benjamin G. M.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-8812-5929</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Queste</surname><given-names>Bastien Y.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-3786-2275</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Centre for Atmospheric and Oceanic Sciences, Indian Institute of Science, Bangalore, India</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Centre for Ocean and Atmospheric Sciences, School of Environmental Sciences and School of Mathematics, <?xmltex \hack{\break}?>University of East Anglia, Norwich, UK</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Centre for Ocean and Atmospheric Sciences, School of Environmental Sciences, University of East Anglia, Norwich, UK</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Puthenveettil Narayana Menon Vinayachandran (vinay@iisc.ac.in)</corresp></author-notes><pub-date><day>9</day><month>April</month><year>2019</year></pub-date>
      
      <volume>16</volume>
      <issue>7</issue>
      <fpage>1447</fpage><lpage>1468</lpage>
      <history>
        <date date-type="received"><day>22</day><month>June</month><year>2018</year></date>
           <date date-type="rev-request"><day>12</day><month>July</month><year>2018</year></date>
           <date date-type="rev-recd"><day>7</day><month>February</month><year>2019</year></date>
           <date date-type="accepted"><day>22</day><month>February</month><year>2019</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2019 Venugopal Thushara et al.</copyright-statement>
        <copyright-year>2019</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://bg.copernicus.org/articles/16/1447/2019/bg-16-1447-2019.html">This article is available from https://bg.copernicus.org/articles/16/1447/2019/bg-16-1447-2019.html</self-uri><self-uri xlink:href="https://bg.copernicus.org/articles/16/1447/2019/bg-16-1447-2019.pdf">The full text article is available as a PDF file from https://bg.copernicus.org/articles/16/1447/2019/bg-16-1447-2019.pdf</self-uri>
      <abstract><title>Abstract</title>
    <p id="d1e134">The Bay of Bengal (BoB) generally exhibits surface oligotrophy due to
nutrient limitation induced by strong salinity stratification. Nevertheless,
there are hotspots of high chlorophyll in the BoB where the monsoonal
forcings are strong enough to break the stratification; one such region is
the southern BoB, east of Sri Lanka. A recent field programme conducted during
the summer monsoon of 2016, as a part of the Bay of Bengal Boundary Layer
Experiment (BoBBLE), provides a unique high-resolution dataset of the
vertical distribution of chlorophyll in the southern BoB using ocean gliders
along with shipboard conductivity–temperature–depth (CTD) measurements. Observations were carried out for a
duration of 12–20 days, covering the dynamically active regions of the Sri Lanka Dome (SLD) and the Southwest Monsoon Current (SMC). Mixing and
upwelling induced by the monsoonal wind forcing enhanced surface chlorophyll
concentrations (0.3–0.7 mg m<inline-formula><mml:math id="M1" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>). Prominent deep chlorophyll maxima
(DCM; 0.3–1.2 mg m<inline-formula><mml:math id="M2" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) existed at intermediate depths (20–50 m),
signifying the contribution of subsurface productivity to the biological
carbon cycling in the BoB. The shape of chlorophyll profiles varied in
different dynamical regimes; upwelling was associated with sharp and intense
DCM, whereas mixing resulted in a diffuse and weaker DCM. Within the SLD,
open-ocean Ekman suction favoured a substantial increase in chlorophyll.
Farther east, where the thermocline was deeper, enhanced surface chlorophyll
was associated with intermittent mixing events. Remote forcing by the
westward propagating Rossby waves influenced the upper-ocean dynamics and
chlorophyll distribution in the southern BoB. Stabilizing surface freshening
events and barrier-layer formation often inhibited the generation of surface
chlorophyll. The pathway of the SMC intrusion was marked by a distinct band
of chlorophyll, indicating the advective effect of biologically rich Arabian
Sea waters. The region of the monsoon current exhibited the strongest DCM as well
as the highest column-integrated chlorophyll. Observations suggest that the
persistence of DCM in the southern BoB is promoted by surface oligotrophy and
shallow mixed layers. Results from a coupled physical–ecosystem model
substantiate the dominant role of mixed layer processes associated with the
monsoon in controlling the nutrient distribution and biological productivity
in the southern BoB. The present study provides new insights into the
vertical distribution of chlorophyll in the BoB, emphasizing the need for
extensive in situ sampling and ecosystem model-based efforts for a better
understanding of the biophysical interactions and the potential climatic
feedbacks.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e170">The Bay of Bengal (BoB) is fascinating, with its unique upper-ocean features
strongly linked to the Indian Summer Monsoon (ISM) variability
(<xref ref-type="bibr" rid="bib1.bibx22" id="altparen.1"/>; <xref ref-type="bibr" rid="bib1.bibx89" id="altparen.2"/>; <xref ref-type="bibr" rid="bib1.bibx79" id="altparen.3"/>). The
upper layer of the BoB, especially the northern BoB, is highly stable, owing
to strong near-surface salinity stratification in the<?pagebreak page1448?> presence of abundant
freshwater influx from precipitation and rivers. The low salinity cap in the
surface layers of the BoB leads to the formation of a shallow mixed layer and
a barrier layer beneath (<xref ref-type="bibr" rid="bib1.bibx96" id="altparen.4"/>;
<xref ref-type="bibr" rid="bib1.bibx107" id="altparen.5"/>), controlling air–sea interactions and the upper-ocean heat budget (<xref ref-type="bibr" rid="bib1.bibx80" id="altparen.6"/>). In addition, monsoonal winds are
relatively weak over the BoB, leading to a sluggish upper ocean, where
vertical overturning and mixing processes are weak (<xref ref-type="bibr" rid="bib1.bibx81" id="altparen.7"/>;
<xref ref-type="bibr" rid="bib1.bibx52" id="altparen.8"/>; <xref ref-type="bibr" rid="bib1.bibx36" id="altparen.9"/>; <xref ref-type="bibr" rid="bib1.bibx58" id="altparen.10"/>;
<xref ref-type="bibr" rid="bib1.bibx106" id="altparen.11"/>). This dynamical set-up imparts strong nutrient
limitation on phytoplankton growth, leading to weak biological productivity
in the BoB (<xref ref-type="bibr" rid="bib1.bibx28" id="altparen.12"/>; <xref ref-type="bibr" rid="bib1.bibx36" id="altparen.13"/>;
<xref ref-type="bibr" rid="bib1.bibx53" id="altparen.14"/>). Compared to the highly productive Arabian Sea,
chlorophyll distribution in the BoB is often light-limited, despite being
located in the same tropical band, due to large cloud cover during the active
phase of the monsoon (<xref ref-type="bibr" rid="bib1.bibx40" id="altparen.15"/>). In addition, the presence of
suspended sediments in the vicinity of discharge from major rivers reduces
the light availability for photosynthesis (<xref ref-type="bibr" rid="bib1.bibx28" id="altparen.16"/>;
<xref ref-type="bibr" rid="bib1.bibx37" id="altparen.17"/>).</p>
      <p id="d1e226">Though the basin-averaged productivity is weak in the BoB, satellite and in
situ observations reveal the presence of intense regional chlorophyll blooms
(<xref ref-type="bibr" rid="bib1.bibx93 bib1.bibx37 bib1.bibx38" id="altparen.18"/>).
These blooms are clearly distinguishable in space and time, exhibiting
elevated levels of chlorophyll (<inline-formula><mml:math id="M3" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula> mg m<inline-formula><mml:math id="M4" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) with respect to the
oligotrophic background state of the BoB. The evolution of chlorophyll blooms
in the ocean is controlled by the ecosystem balance between the growth and
loss rates as well as the physiological adaptations of the phytoplankton
(<xref ref-type="bibr" rid="bib1.bibx15" id="altparen.19"/>; <xref ref-type="bibr" rid="bib1.bibx5" id="altparen.20"/>). In the northern BoB where
stratification is strong, surface chlorophyll levels are generally weak,
except in association with coastal processes and eddy activity. The
northwestern BoB is characterized by seasonal increase in chlorophyll in the
presence of strong coastal upwelling induced by the alongshore winds during
the summer monsoon (<xref ref-type="bibr" rid="bib1.bibx81" id="altparen.21"/>), which enriches the previously
nutrient-limited euphotic zone (<xref ref-type="bibr" rid="bib1.bibx87" id="altparen.22"/>). In addition,
nutrients supplied through the monsoonal river discharge support enhanced
chlorophyll concentrations in the nearby coastal oceans (<xref ref-type="bibr" rid="bib1.bibx37 bib1.bibx38" id="altparen.23"/>). The occurrence of mesoscale eddies is an additional
forcing, favouring biological productivity through the vertical supply of
nutrients (<xref ref-type="bibr" rid="bib1.bibx38" id="altparen.24"/>; <xref ref-type="bibr" rid="bib1.bibx66" id="altparen.25"/>). Productivity in the
BoB is mostly confined to the coastal ocean and dynamical regions of the open
ocean, such as the southern BoB, where the freshwater effects are relatively
weaker (<xref ref-type="bibr" rid="bib1.bibx93" id="altparen.26"/>).</p>
      <p id="d1e279">The southern BoB, characterized by strong currents, intense mixing and
upwelling, is one of the most dynamically active regions of the northern
Indian Ocean (<xref ref-type="bibr" rid="bib1.bibx65" id="altparen.27"/>; <xref ref-type="bibr" rid="bib1.bibx76" id="altparen.28"/>;
<xref ref-type="bibr" rid="bib1.bibx57" id="altparen.29"/>; <xref ref-type="bibr" rid="bib1.bibx94" id="altparen.30"/>;
<xref ref-type="bibr" rid="bib1.bibx95" id="altparen.31"/>; <xref ref-type="bibr" rid="bib1.bibx78" id="altparen.32"/>; <xref ref-type="bibr" rid="bib1.bibx46" id="altparen.33"/>;
<xref ref-type="bibr" rid="bib1.bibx108" id="altparen.34"/>). Unlike the northern BoB, salinity stratification
is relatively weak in the south, resulting in a deeper mixed layer. Prominent
chlorophyll blooms are observed in the coastal and open-ocean regions of the
southern BoB, closely linked to monsoon circulation
(<xref ref-type="bibr" rid="bib1.bibx91" id="altparen.35"/>). The region off the southern coast of Sri Lanka
is characterized by high chlorophyll levels in summer, triggered by the
coastal upwelling of nutrients (<xref ref-type="bibr" rid="bib1.bibx97" id="altparen.36"/>). Cyclonic wind
stress curl east of Sri Lanka during the summer monsoon leads to the
formation of the Sri Lanka Dome (SLD; <xref ref-type="bibr" rid="bib1.bibx94" id="altparen.37"/>), where
open-ocean Ekman suction of nutrients triggers chlorophyll bloom generation
(<xref ref-type="bibr" rid="bib1.bibx97" id="altparen.38"/>). The Southwest Monsoon Current (SMC) intruding
into the southern BoB (<xref ref-type="bibr" rid="bib1.bibx94" id="altparen.39"/>;
<xref ref-type="bibr" rid="bib1.bibx99" id="altparen.40"/>; <xref ref-type="bibr" rid="bib1.bibx32" id="altparen.41"/>) carries biologically rich
waters from the Indian and Sri Lankan coasts, supporting elevated levels of
chlorophyll all along its path (<xref ref-type="bibr" rid="bib1.bibx97" id="altparen.42"/>). After finding
its way into the BoB, the SMC bifurcates into several branches, and the
associated cold-core eddies are observed as enhancing chlorophyll
concentrations (<xref ref-type="bibr" rid="bib1.bibx33" id="altparen.43"/>). During the winter monsoon,
satellite observations and ecosystem models reveal the presence of moderate
blooms triggered by open-ocean upwelling in the southwestern BoB
(<xref ref-type="bibr" rid="bib1.bibx93" id="altparen.44"/>; <xref ref-type="bibr" rid="bib1.bibx98" id="altparen.45"/>). In addition to
the seasonal forcings, frequent occurrence of tropical cyclones favour
short-lived isolated patches of intense blooms (<xref ref-type="bibr" rid="bib1.bibx51" id="altparen.46"/>;
<xref ref-type="bibr" rid="bib1.bibx93" id="altparen.47"/>; <xref ref-type="bibr" rid="bib1.bibx71" id="altparen.48"/>).</p>
      <p id="d1e351">The biophysical interactions in the BoB have not been well explored, and our
present understanding of the mechanisms determining the spatial and temporal
distribution of productivity in the BoB is limited, owing to the scarcity of
observational data and model simulations. Ocean colour retrievals by
satellites are widely affected by the presence of cloud cover during monsoon,
the period when the surface chlorophyll levels are the highest in the BoB.
Past observational studies (<xref ref-type="bibr" rid="bib1.bibx93 bib1.bibx97 bib1.bibx37 bib1.bibx38 bib1.bibx33" id="altparen.49"/>) have contributed to our understanding of the
biological productivity in the BoB, suggesting that the dynamics controlling
the chlorophyll distribution are complex, determined by the competing effects
of winds (local as well as remote) and freshwater flux on the mixed layer
processes. However, the spatial and temporal coverage of observations is
insufficient in obtaining a complete picture of the chlorophyll distribution. We
also lack estimates of subsurface chlorophyll, and hence, its contribution to
the column-integrated productivity (<xref ref-type="bibr" rid="bib1.bibx39" id="altparen.50"/>) has received little
attention.</p>
      <p id="d1e361">Until now, the paucity of previous chlorophyll measurements precluded a
detailed investigation of the biophysical feedbacks and the possible
controls on the surface properties and air–sea heat and gas exchanges of the
BoB. The present study is aimed at documenting the observed<?pagebreak page1449?> chlorophyll
distribution of the southern bay, obtained from four ocean gliders and
conductivity–temperature–depth (CTD) measurements taken during the Bay of
Bengal Boundary Layer Experiment (BoBBLE; <xref ref-type="bibr" rid="bib1.bibx100" id="altparen.51"/>) field
programme. Enhanced levels of surface chlorophyll were observed at all glider
locations, in response to the monsoonal forcings at seasonal and synoptic
timescales. The BoBBLE data reveal the presence of prominent deep chlorophyll
maxima in the BoB, which are rarely captured by satellites. Results from a
coupled physical–ecosystem model are incorporated to evaluate the model
performance in reproducing the summer blooms in the BoB and to analyse the associated biophysical interactions in
detail. Section 2 describes the
observational data and the ecosystem model; Sect. 3 examines the vertical
distribution of chlorophyll in the southern bay, co-limited by light and
nutrients, in response to the monsoonal wind and freshwater forcings. A summary
and conclusions are given in the last section.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Observations and modelling</title>
      <p id="d1e375">Observations were carried out in the region to the eastern coast of Sri Lanka,
on board <italic>ORV Sindhu Sadhana</italic>, which sailed from Chennai on 24 June and returned on 23 July 2016 (Fig. <xref ref-type="fig" rid="Ch1.F1"/>). The present
analyses are based on the data along 8<inline-formula><mml:math id="M5" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, extending from 85.3<inline-formula><mml:math id="M6" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E
(hereafter referred to as TSW) to 89<inline-formula><mml:math id="M7" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E (hereafter referred to as TSE),
including a 10-day CTD time series station at TSE. Shipboard measurements
were taken back and forth along this longitudinal transect; the ship sailed
from TSW to TSE from 29 June to 3 July, stayed at TSE from 3 to 15 July and
returned back to TSW on 20 July. The longitudinal transect runs across the
productive regions of the SLD and SMC, covering a distance of about 400 km.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1"><?xmltex \currentcnt{1}?><label>Figure 1</label><caption><p id="d1e412">Chlorophyll (mg m<inline-formula><mml:math id="M8" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) climatology (2007–2016) for the month of July, obtained
from Ocean Colour Climate Change Initiative (OC-CCI) Version 3.1. Ocean glider locations
are marked as circles along 8<inline-formula><mml:math id="M9" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, where the shipboard observations were performed.
The glider deployment locations are 8<inline-formula><mml:math id="M10" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 86<inline-formula><mml:math id="M11" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E; 8<inline-formula><mml:math id="M12" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N,
87<inline-formula><mml:math id="M13" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E; 8<inline-formula><mml:math id="M14" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 88<inline-formula><mml:math id="M15" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E; and 8<inline-formula><mml:math id="M16" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 88<inline-formula><mml:math id="M17" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>54<inline-formula><mml:math id="M18" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>E, for SG579, SG534,
SG532, and SG620 respectively. Observational periods of gliders are 30 June–20 July,
1–17 July, 2–16 July, and 3–14 July 2016 for SG579, SG534, SG532, and SG620 respectively.
TSW and TSE (squares) are sampling locations at 8<inline-formula><mml:math id="M19" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 85.3<inline-formula><mml:math id="M20" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, and 8<inline-formula><mml:math id="M21" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 89<inline-formula><mml:math id="M22" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, respectively.</p></caption>
        <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://bg.copernicus.org/articles/16/1447/2019/bg-16-1447-2019-f01.png"/>

      </fig>

<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>In situ measurements of chlorophyll</title>
      <p id="d1e568">The vertical distribution of chlorophyll fluorescence was measured along the
cruise track using ocean gliders and a shipboard CTD. Ocean gliders are
buoyancy-driven autonomous underwater vehicles designed to dive from the
surface to the deep ocean and back following a sawtooth pattern, collecting
vertical profiles of oceanographic properties (<xref ref-type="bibr" rid="bib1.bibx19" id="altparen.52"/>). Four
gliders (SG579, SG534, SG532 and SG620) with biophysical sensors were
deployed along the transect at 8<inline-formula><mml:math id="M23" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N (Fig. <xref ref-type="fig" rid="Ch1.F1"/>). They
were positioned at specified locations; hence the measurements made can be
considered to be time series data (but note that SG579 shifted almost 60 km
westwards during the observational period but stayed within the SLD). The
gliders provided high-resolution measurements of biophysical properties, both
in space (at least 0.5 m in vertical) and time (4–7 profiles a day). Data
collection starts within the top 1 m of the upper ocean, enabling better
sampling of surface properties compared with conventional measurement
techniques. Each glider was equipped with a Sea-Bird Electronics CTD package,
a global positioning system (GPS) and WET Labs Triplet ECO Puck sensors. All
ECO Pucks had at least one fluorescence channel, measuring chlorophyll, and
were accompanied by one to two backscatter channels. In total, 405 dives were
performed by the four gliders, including shallow (<inline-formula><mml:math id="M24" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">700</mml:mn></mml:mrow></mml:math></inline-formula> m) and deep
(<inline-formula><mml:math id="M25" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">1000</mml:mn></mml:mrow></mml:math></inline-formula> m) profiles, where each dive lasted 3–5 h. The typical speed
of the gliders was about 0.25 m s<inline-formula><mml:math id="M26" 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 vertical velocities ranged
between 0.10 and 0.15 m s<inline-formula><mml:math id="M27" 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 shipboard CTD was equipped with auxiliary
sensors for fluorescence, which are factory calibrated. In addition to the
gliders, the CTD collected a total number of 147 profiles along the cruise
track. The CTD data used for the present analysis are smoothed in time and
depth spaces by 3 h and 3 m respectively.</p>
      <p id="d1e630">After quality control, the data from each glider were optimally interpolated
(<xref ref-type="bibr" rid="bib1.bibx8" id="altparen.53"/>) onto a two-dimensional (depth–time) equally spaced
grid, following <xref ref-type="bibr" rid="bib1.bibx56" id="text.54"/>. First, a background-gridded field was
constructed from a weighted average of the observations. A two-dimensional
Gaussian weighting function, with e-folding scales of 2 m for depth and 3 h
for time, was used to map each observation onto the depth–time grid. An
optimal interpolation increment was then calculated, again using the Gaussian
weighting function, to calculate the final gridded field. The longitudinal
positions of the gliders were then<?pagebreak page1450?> used to create a single glider dataset.
The two-dimensional (depth–time) optimally interpolated fields from each of
the four gliders were combined into a single three-dimensional
(longitude–depth–time) gridded dataset by linearly interpolating over
longitude.</p>
      <p id="d1e639">Observed fluorescence from gliders was corrected for non-photochemical
quenching during daylight hours using chlorophyll-to-backscatter ratios
during night-time (<xref ref-type="bibr" rid="bib1.bibx86" id="altparen.55"/>). The glider chlorophyll values
exhibited an offset similar to that found by <xref ref-type="bibr" rid="bib1.bibx104" id="text.56"/>, with higher
concentrations compared to the concurrent observations from the shipboard
CTD. However, the glider data are reliable for explaining the processes underlying
the bloom evolution, since the spatial and temporal variability of chlorophyll
were consistent with the CTD observations. For the present analysis, the
glider data corrected for non-photochemical quenching were scaled to represent
the in situ chlorophyll value using the CTD data. An independent scale factor was
calculated for each glider's ECOPuck using linear regression with the
available nearby CTD profiles, where the distance between the ship and glider
is not more than a quarter of a degree, and the time difference is not more than an
hour.</p>
</sec>
<sec id="Ch1.S2.SS2">
  <label>2.2</label><title>Coupled physical–ecosystem model</title>
      <p id="d1e657">A coupled physical–ecosystem model was employed to study the observed
chlorophyll distribution in the southern BoB during the BoBBLE field programme.
The physical model is based on the Geophysical Fluid Dynamics Laboratory
(GFDL) Modular Ocean Model Version 4 (MOM4p1; <xref ref-type="bibr" rid="bib1.bibx30" id="altparen.57"/>),
configured for the Indian Ocean region extending from 30 to
120<inline-formula><mml:math id="M28" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E and 30<inline-formula><mml:math id="M29" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N to 30<inline-formula><mml:math id="M30" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S (<xref ref-type="bibr" rid="bib1.bibx42" id="altparen.58"/>;
<xref ref-type="bibr" rid="bib1.bibx4" id="altparen.59"/>). The horizontal resolution of the model is 0.25<inline-formula><mml:math id="M31" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>, and
the vertical grid spacing is 5 m in the upper 60 m, increasing to 10 m at 100 m depth, 20 m at 200 m depth and 700 m at 5000 m depth, altogether forming
40 levels. The ETOPO5 dataset with 5 min resolution is used to set up the
model topography, with the minimum depth of the ocean fixed at 30 m. A
no-flux condition is applied across the model boundaries. Additionally, a
no-slip condition is applied to the closed western and northern boundaries.
The open southern and eastern boundaries consist of sponge layers where
temperature and salinity fields are relaxed to climatology
(<xref ref-type="bibr" rid="bib1.bibx13" id="altparen.60"/>), with a timescale of 30 days. The model mixing
schemes are based on <xref ref-type="bibr" rid="bib1.bibx44" id="text.61"/> and <xref ref-type="bibr" rid="bib1.bibx11" id="text.62"/>. Turbulent
fluxes and upwelling longwave radiation are calculated using the bulk formula
(<xref ref-type="bibr" rid="bib1.bibx43" id="altparen.63"/>), and the penetrative shortwave radiation is
parameterized based on <xref ref-type="bibr" rid="bib1.bibx61" id="text.64"/>.</p>
      <p id="d1e722">The ecosystem model used in this study is the Tracers of Phytoplankton with
Allometric Zooplankton (TOPAZ) model (<xref ref-type="bibr" rid="bib1.bibx17" id="altparen.65"/>), consisting of 25
tracers, including micro- and macronutrients, carbon, oxygen, and lithogenic
materials. The biogeochemical cycles are calculated with flexible nutrient
stoichiometry. The phytoplankton class consists of three groups: small, large
and diazotrophs. The small group represents the nanoplankton, which are
weakly limited by nutrients and strongly limited by grazing. The large group
represents the microplankton, which are strongly limited by nutrients and
weakly limited by grazing, with the ability to store iron internally.
Diazotrophs (nitrogen fixers) form a relatively small fraction of the total
biomass (<xref ref-type="bibr" rid="bib1.bibx26" id="altparen.66"/>). The model also includes dissolved
organic matter and heterotrophic biomass. The biogeochemical mechanisms
consist of nitrogen fixation, denitrification, gas exchange, atmospheric
decomposition, scavenging and sediment processes. Co-limitation by light and
nutrients controls the phytoplankton physiology and growth
(<xref ref-type="bibr" rid="bib1.bibx24" id="altparen.67"/>) with a temperature dependency (<xref ref-type="bibr" rid="bib1.bibx18" id="altparen.68"/>).
Grazing is parameterized using a size-based relationship
(<xref ref-type="bibr" rid="bib1.bibx16" id="altparen.69"/>) in which the large phytoplankton group
dominates the ecosystem at high growth rates and biomass, whereas the small phytoplankton group dominates at low growth rates and biomass. Detritus
production is temperature dependent and calculated as a fraction of
phytoplankton (<xref ref-type="bibr" rid="bib1.bibx16" id="altparen.70"/>). Nitrification is inhibited by light
(<xref ref-type="bibr" rid="bib1.bibx103" id="altparen.71"/>). A detailed technical description of the ecosystem model
is available in <xref ref-type="bibr" rid="bib1.bibx17" id="text.72"/>, and important model parameters are given in
Table <xref ref-type="table" rid="Ch1.T1"/>.</p>

<table-wrap id="Ch1.T1" specific-use="star"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e754">Details of biological parameters used in the ecosystem model.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="3">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Parameter</oasis:entry>
         <oasis:entry colname="col2">Description</oasis:entry>
         <oasis:entry colname="col3">Value</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M32" display="inline"><mml:mrow><mml:msubsup><mml:mi>K</mml:mi><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NH</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:mrow><mml:mi mathvariant="normal">Lg</mml:mi></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">Half-saturation coefficient for ammonium uptake by large phytoplankton</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M33" display="inline"><mml:mrow><mml:mn mathvariant="normal">6</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> mol <inline-formula><mml:math id="M34" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NH</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> kg<inline-formula><mml:math id="M35" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M36" display="inline"><mml:mrow><mml:msubsup><mml:mi>K</mml:mi><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NH</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:mrow><mml:mi mathvariant="normal">Sm</mml:mi></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">Half-saturation coefficient for ammonium uptake by small phytoplankton</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M37" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> mol <inline-formula><mml:math id="M38" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NH</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> kg<inline-formula><mml:math id="M39" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M40" display="inline"><mml:mrow><mml:msubsup><mml:mi>K</mml:mi><mml:mrow><mml:msub><mml:mrow class="chem"><mml:mi mathvariant="normal">NO</mml:mi></mml:mrow><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow><mml:mi mathvariant="normal">Lg</mml:mi></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">Half-saturation coefficient for nitrate uptake by large phytoplankton</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M41" display="inline"><mml:mrow><mml:mn mathvariant="normal">6</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> mol <inline-formula><mml:math id="M42" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> kg<inline-formula><mml:math id="M43" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M44" display="inline"><mml:mrow><mml:msubsup><mml:mi>K</mml:mi><mml:mrow><mml:msub><mml:mrow class="chem"><mml:mi mathvariant="normal">NO</mml:mi></mml:mrow><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow><mml:mi mathvariant="normal">Sm</mml:mi></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">Half-saturation coefficient for nitrate uptake by small phytoplankton</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M45" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> mol <inline-formula><mml:math id="M46" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> kg<inline-formula><mml:math id="M47" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M48" display="inline"><mml:mrow><mml:msubsup><mml:mi>K</mml:mi><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PO</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:mrow><mml:mi mathvariant="normal">Lg</mml:mi></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">Half-saturation coefficient for phosphate uptake by large phytoplankton</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M49" display="inline"><mml:mrow><mml:mn mathvariant="normal">6</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> mol <inline-formula><mml:math id="M50" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PO</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> kg<inline-formula><mml:math id="M51" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M52" display="inline"><mml:mrow><mml:msubsup><mml:mi>K</mml:mi><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PO</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:mrow><mml:mi mathvariant="normal">Sm</mml:mi></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">Half-saturation coefficient for phosphate uptake by small phytoplankton</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M53" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> mol <inline-formula><mml:math id="M54" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PO</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> kg<inline-formula><mml:math id="M55" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M56" display="inline"><mml:mrow><mml:msubsup><mml:mi>K</mml:mi><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PO</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:mrow><mml:mi mathvariant="normal">Di</mml:mi></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">Half-saturation coefficient for phosphate uptake by diazotrophs</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M57" display="inline"><mml:mrow><mml:mn mathvariant="normal">6</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> mol <inline-formula><mml:math id="M58" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PO</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> kg<inline-formula><mml:math id="M59" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M60" display="inline"><mml:mrow><mml:msubsup><mml:mi>K</mml:mi><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">SiO</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:mrow><mml:mi mathvariant="normal">Lg</mml:mi></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">Half-saturation coefficient for silicate uptake by large phytoplankton</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M61" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> mol <inline-formula><mml:math id="M62" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">SiO</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> kg<inline-formula><mml:math id="M63" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M64" display="inline"><mml:mrow><mml:msubsup><mml:mi>K</mml:mi><mml:mrow class="chem"><mml:mi mathvariant="normal">Fe</mml:mi></mml:mrow><mml:mi mathvariant="normal">Lg</mml:mi></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">Half-saturation coefficient for iron uptake by large phytoplankton</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M65" display="inline"><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> mol Fe kg<inline-formula><mml:math id="M66" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M67" display="inline"><mml:mrow><mml:msubsup><mml:mi>K</mml:mi><mml:mrow class="chem"><mml:mi mathvariant="normal">Fe</mml:mi></mml:mrow><mml:mi mathvariant="normal">Sm</mml:mi></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">Half-saturation coefficient for iron uptake by small phytoplankton</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M68" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> mol Fe kg<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></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M70" display="inline"><mml:mrow><mml:msubsup><mml:mi>K</mml:mi><mml:mrow class="chem"><mml:mi mathvariant="normal">Fe</mml:mi></mml:mrow><mml:mi mathvariant="normal">Di</mml:mi></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">Half-saturation coefficient for iron uptake by diazotrophs</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M71" display="inline"><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> mol Fe kg<inline-formula><mml:math id="M72" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M73" display="inline"><mml:mrow><mml:msubsup><mml:mi>P</mml:mi><mml:mi mathvariant="normal">Cmax</mml:mi><mml:mi mathvariant="normal">Lg</mml:mi></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">Maximum carbon assimilation rate for large phytoplankton</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M74" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.5</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> 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></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M76" display="inline"><mml:mrow><mml:msubsup><mml:mi>P</mml:mi><mml:mi mathvariant="normal">Cmax</mml:mi><mml:mi mathvariant="normal">Sm</mml:mi></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">Maximum carbon assimilation rate for small phytoplankton</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M77" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.5</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> s<inline-formula><mml:math id="M78" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M79" display="inline"><mml:mrow><mml:msubsup><mml:mi>P</mml:mi><mml:mi mathvariant="normal">Cmax</mml:mi><mml:mi mathvariant="normal">Di</mml:mi></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">Maximum carbon assimilation rate for diazotrophs</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M80" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.6</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> s<inline-formula><mml:math id="M81" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M82" display="inline"><mml:mrow><mml:msubsup><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">max</mml:mi><mml:mi mathvariant="normal">Lg</mml:mi></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">Maximum chlorophyll-to-carbon ratio for large phytoplankton</oasis:entry>
         <oasis:entry colname="col3">0.06 g Chl g C<inline-formula><mml:math id="M83" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M84" display="inline"><mml:mrow><mml:msubsup><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">max</mml:mi><mml:mi mathvariant="normal">Sm</mml:mi></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">Maximum chlorophyll-to-carbon ratio for small phytoplankton</oasis:entry>
         <oasis:entry colname="col3">0.04 g Chl g C<inline-formula><mml:math id="M85" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M86" display="inline"><mml:mrow><mml:msubsup><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">max</mml:mi><mml:mi mathvariant="normal">Di</mml:mi></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">Maximum chlorophyll-to-carbon ratio for diazotrophs</oasis:entry>
         <oasis:entry colname="col3">0.04 g Chl g C<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></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M88" display="inline"><mml:mi mathvariant="italic">ζ</mml:mi></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">Cost of biosynthesis</oasis:entry>
         <oasis:entry colname="col3">0.1</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M89" display="inline"><mml:mi mathvariant="italic">κ</mml:mi></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">Eppley's temperature coefficient</oasis:entry>
         <oasis:entry colname="col3">0.063 <inline-formula><mml:math id="M90" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C<inline-formula><mml:math id="M91" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M92" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">Phytoplankton grazing rate constant at 0 <inline-formula><mml:math id="M93" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C</oasis:entry>
         <oasis:entry colname="col3">0.19 day<inline-formula><mml:math id="M94" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d1e1825">The model configuration used in the present analysis is similar to that in
<xref ref-type="bibr" rid="bib1.bibx87" id="text.73"/>. The physical model was spun up for a period of 10
years, starting from a state of rest using climatological initial fields for
temperature and salinity (<xref ref-type="bibr" rid="bib1.bibx13" id="altparen.74"/>). This was followed by a
coupled spin-up for another 10 years, after switching on the ecosystem model.
A stable annual cycle was obtained for both physical and biological fields
after the spin-up, and this was followed by an interannual run from 1 April 2015 to 31 December 2016. Nutrients for initializing the ecosystem model were
obtained from the World Ocean Atlas (WOA09), and no-flux conditions were applied at
the open boundaries. The model forcing fields include air temperature,
specific humidity, surface pressure, downward shortwave and longwave
radiation fluxes, at hourly frequency from Goddard Earth Observing System
(GEOS) Modern-Era Retrospective analysis for Research and Applications,
Version 2 (MERRA-2 ; <xref ref-type="bibr" rid="bib1.bibx72" id="altparen.75"/>). Wind speed and wind stress
forcings were obtained from the Advanced SCATterometer (ASCAT;
<xref ref-type="bibr" rid="bib1.bibx20" id="altparen.76"/>). The model freshwater forcings include daily
precipitation from the Tropical Rainfall Measuring Mission (TRMM;
<xref ref-type="bibr" rid="bib1.bibx31" id="altparen.77"/>) and monthly climatological river runoff from the
Center for Sustainability and the Global Environment (SAGE;
<xref ref-type="bibr" rid="bib1.bibx101" id="altparen.78"/>). Weekly chlorophyll from the Sea-viewing Wide
Field-of-View Sensor (SeaWiFS; <xref ref-type="bibr" rid="bib1.bibx85" id="altparen.79"/>) was used for the
calculation of penetrative shortwave radiation.</p>
</sec>
</sec>
<?pagebreak page1451?><sec id="Ch1.S3">
  <label>3</label><title>Results and discussion</title>
      <p id="d1e1859">The BoBBLE field programme coincided with a suppressed phase of the Boreal
Summer Intraseasonal Oscillation (BSISO), when the convective activity was
weak over the southern BoB (see Fig. 4 of <xref ref-type="bibr" rid="bib1.bibx100" id="altparen.80"/>).
Precipitation was minimal during most of the observational period, until the
establishment of the succeeding active phase of the BSISO by the end of the
programme. Surplus insolation associated with reduced atmospheric convection
suggests that light availability only played a minor role in limiting the
surface chlorophyll distribution. In the presence of heavy cloud cover
associated with the monsoon, light availability is generally believed to
limit the growth of phytoplankton in the Bay of Bengal. However,
observational evidence also shows that light is not an important limiting
factor in the low latitudes (<xref ref-type="bibr" rid="bib1.bibx45" id="altparen.81"/>; <xref ref-type="bibr" rid="bib1.bibx5" id="altparen.82"/>),
where the phytoplankton growth is mainly determined by nutrient availability
(<xref ref-type="bibr" rid="bib1.bibx59" id="altparen.83"/>). According to a recent study in the northern BoB by
<xref ref-type="bibr" rid="bib1.bibx34" id="text.84"/>, high PAR conditions were associated with low surface
chlorophyll, and during low PAR conditions chlorophyll levels increased
considerably.</p>
      <p id="d1e1877">Monsoonal cloud cover, especially during the active phase of BSISO, limits
the continuous sampling of ocean colour from satellites, restricting the
analysis of daily or weekly evolution of the chlorophyll blooms. Ocean colour
data obtained from European Space Agency (ESA) Ocean Colour Climate Change
Initiative Version 3.1 (OC-CCI v3.1) merged product reveal that the southern bay
exhibited high chlorophyll levels during the BoBBLE period. The mean
chlorophyll concentration in the southern bay (82–92<inline-formula><mml:math id="M95" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E and
4–12<inline-formula><mml:math id="M96" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N) averaged for the month of July was about 0.2 mg m<inline-formula><mml:math id="M97" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>,
which is comparable to that of the previous years.</p>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>Hydrography</title>
      <?pagebreak page1452?><p id="d1e1917">To provide a dynamical context for the chlorophyll distribution, the
hydrography of the southern BoB during the BoBBLE period is briefly described
here. Further details can be found in <xref ref-type="bibr" rid="bib1.bibx100" id="text.85"/> and
<xref ref-type="bibr" rid="bib1.bibx105" id="text.86"/>. In response to the prevailing atmospheric conditions, the
upper ocean in the southern bay exhibited large spatial variability at
seasonal and synoptic timescales. The climatological distribution of surface
temperature shows cooler waters in the region of the SMC, creating an
east–west contrast along 8<inline-formula><mml:math id="M98" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N (see Fig. 1 of
<xref ref-type="bibr" rid="bib1.bibx100" id="altparen.87"/>). Weaker winds and higher insolation, associated
with the suppressed phase of BSISO during the observational period, resulted
in high sea surface temperature (SST). The mean SST obtained from the Group
for High Resolution Sea Surface Temperature (GHRSST; <xref ref-type="bibr" rid="bib1.bibx10" id="altparen.88"/>)
dataset, averaged for the observational period (27 June–21 July 2016), was
<inline-formula><mml:math id="M99" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">29.3</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M100" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C at TSW and <inline-formula><mml:math id="M101" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">0.5</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M102" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C less at TSE, deviating
from the climatology. The mean sea surface salinity (SSS) from the Soil
Moisture Active Passive (SMAP; <xref ref-type="bibr" rid="bib1.bibx21" id="altparen.89"/>) mission was
<inline-formula><mml:math id="M103" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula>33.3 psu
at TSW, and farther east at TSE, salinity was 0.8 psu higher.</p>
      <p id="d1e1990">A depth–longitude section of temperature and salinity recorded by gliders,
averaged for the period 3–14 July, is shown in
Fig. <xref ref-type="fig" rid="Ch1.F2"/>. Gliders in the west (SG579 and SG532) exhibited
higher SST and lower SSS compared to those in the east (SG534 and SG620),
consistent with the satellite observations. The thermocline, represented by
the 20 <inline-formula><mml:math id="M104" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C isotherm (D20), exhibited an east–west dip along 8<inline-formula><mml:math id="M105" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N
extending from TSW to 88<inline-formula><mml:math id="M106" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, followed by a rise towards TSE
(Fig. <xref ref-type="fig" rid="Ch1.F2"/>a). The western sector of the transect (TSW)
lies within the SLD, where open-ocean Ekman suction leads to the doming of
the thermocline. At TSW, D20 was located at a depth of about 80 m, as
observed by SG579, and deepened towards the east. In the region of the high
salinity core of the SMC intrusion (Fig. <xref ref-type="fig" rid="Ch1.F2"/>b), D20 was
much deeper, located at a depth of about 180 m (SG532). At the eastern end of
the transect (TSE), D20 slightly shoaled by about 40 m, as observed by SG620.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2"><?xmltex \currentcnt{2}?><label>Figure 2</label><caption><p id="d1e2029">Depth–longitude sections of <bold>(a)</bold> temperature (<inline-formula><mml:math id="M107" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) and <bold>(b)</bold> salinity (psu) obtained
from ocean gliders averaged for 3–14 July, the common period when all the gliders performed
data sampling. Mean glider locations are marked at the top of each panel. Red curves in
<bold>(a)</bold>  and <bold>(b)</bold> represent the thermocline and MLD respectively. The thermocline is represented by the
20 <inline-formula><mml:math id="M108" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C isotherm (D20). MLD is calculated as the depth where density is equal to the sea
surface density plus an increase in density equivalent to a reduction in temperature of 0.8 <inline-formula><mml:math id="M109" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://bg.copernicus.org/articles/16/1447/2019/bg-16-1447-2019-f02.png"/>

        </fig>

      <p id="d1e2079">Circulation in the southern bay during the observational period is
characterized by a strong cyclonic gyre in the region of the SLD and the
monsoon current which flows northeastward (<xref ref-type="bibr" rid="bib1.bibx105" id="altparen.90"/>). During the
beginning of the observational period, the SMC was strong, with surface
velocities ranging between 0.5 and 0.8 m s<inline-formula><mml:math id="M110" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (Fig. <xref ref-type="fig" rid="Ch1.F3"/>a–g). The
region of the SLD was characterized by strong negative sea level anomalies
(SLAs) of about <inline-formula><mml:math id="M111" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula> cm. By the end of the first week of July, the SMC
weakened and shifted westward, reducing the zonal extent of the SLD
(Fig. <xref ref-type="fig" rid="Ch1.F3"/>h–l). Farther east, towards the eastern edge of the
monsoon current, the upper ocean was relatively less dynamic, with weaker
currents (0.1–0.3 m s<inline-formula><mml:math id="M112" 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 positive sea level anomalies (10–20 cm).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3"><?xmltex \currentcnt{3}?><label>Figure 3</label><caption><p id="d1e2126">Sea level anomalies (SLAs; m) and surface currents (m s<inline-formula><mml:math id="M113" 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>) from AVISO for
the period 28 June to 9 July 2016. The glider locations are marked along 8<inline-formula><mml:math id="M114" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N (circles).
Evolution of Sri Lanka Dome (SLD) is represented by the negative SLAs embedded within the cyclonic circulation.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://bg.copernicus.org/articles/16/1447/2019/bg-16-1447-2019-f03.png"/>

        </fig>

      <p id="d1e2156">The spatial variability in the upper-ocean dynamics of the BoB, determined by
local and remote forcings associated with the monsoon, influence the
chlorophyll distribution as well, which is of interest in the present study.
The following sections characterize the observed chlorophyll in the southern
bay in terms of intensities and the vertical distribution during the BoBBLE
period. The associated mechanisms determining the chlorophyll distribution
are analysed, combining hydrographical observations and results from an
ecosystem model.</p>
</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Observed chlorophyll distribution</title>
<sec id="Ch1.S3.SS2.SSS1">
  <label>3.2.1</label><title>Surface bloom events</title>
      <p id="d1e2174">The gliders cover an east–west transect across the regions of the SLD and SMC
(Fig. <xref ref-type="fig" rid="Ch1.F1"/>), providing time series measurements of chlorophyll.
Surface layers remained weakly productive during most of the observational
period, however,<?pagebreak page1453?> events of enhanced chlorophyll were observed at all of the four
glider locations (Fig. <xref ref-type="fig" rid="Ch1.F4"/>a–d) as well as in the CTD data
(Fig. <xref ref-type="fig" rid="Ch1.F4"/>e). Surface chlorophyll concentrations from gliders and
the CTD are shown in Fig. <xref ref-type="fig" rid="Ch1.F5"/>. During the beginning of the
observational period, concurrent occurrence of elevated chlorophyll levels
was observed within the SLD and along the path of the SMC, as recorded by SG579,
SG534 and SG532. At SG620 (TSE), two events were recorded with relatively
weaker magnitudes of chlorophyll compared to the other glider locations. CTD
measurements captured the surface chlorophyll events in the region of the SMC
on 1–2 July and at TSE on 6–8 July, consistent with the glider
observations. The ship and glider were about 10 km apart during most of the
observational period at TSE, and hence an exact agreement in chlorophyll time
series is not expected.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4"><?xmltex \currentcnt{4}?><label>Figure 4</label><caption><p id="d1e2187">Time–depth sections of chlorophyll (mg m<inline-formula><mml:math id="M115" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) from ocean gliders <bold>(a–d)</bold> and CTD <bold>(e)</bold>.
The glider measurements are considered to be time series data for the locations shown in Fig. 1.
CTD observations were collected at TSW (85.3<inline-formula><mml:math id="M116" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, 8<inline-formula><mml:math id="M117" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N) from 27 to 29 June, after
which the ship sailed towards TSE (89<inline-formula><mml:math id="M118" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, 8<inline-formula><mml:math id="M119" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N). From 3–15 July, time series
measurements were made at TSE, after which the ship sailed back towards the west and reached
TSW on 20 July. The black curve represents the mixed layer depth, which is calculated as the
depth where density is equal to the sea surface density plus an increase in density equivalent
to a reduction in temperature of 0.8 <inline-formula><mml:math id="M120" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C. The thermocline (red curve) is represented
by the 20 <inline-formula><mml:math id="M121" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C isotherm (D20). Note that the <inline-formula><mml:math id="M122" display="inline"><mml:mi>y</mml:mi></mml:math></inline-formula> axis at the right side has a different scale.</p></caption>
            <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://bg.copernicus.org/articles/16/1447/2019/bg-16-1447-2019-f04.png"/>

          </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5"><?xmltex \currentcnt{5}?><label>Figure 5</label><caption><p id="d1e2278">Surface chlorophyll concentration (mg m<inline-formula><mml:math id="M123" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) from ocean gliders (at 1 m) and the
shipboard CTD (at 3 m).  SG579 (black) falls within the region of SLD, SG534 (magenta) and
SG532 (blue) along the path of SMC and SG620 (red) at the outer edge of SMC, as shown in Fig. 1.
CTD (green) observations were collected along the 8<inline-formula><mml:math id="M124" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N section, as described in Fig. 4.</p></caption>
            <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://bg.copernicus.org/articles/16/1447/2019/bg-16-1447-2019-f05.png"/>

          </fig>

      <p id="d1e2309"><italic>Within the SLD.</italic> Summer chlorophyll blooms in the
region of the SLD have been reported earlier using satellite images of ocean
colour (<xref ref-type="bibr" rid="bib1.bibx97" id="altparen.91"/>). The daily evolution of SLAs and currents
from archiving, validation, and interpretation of satellite oceanographic
data (AVISO) show the intensification of the SLD during the early part (29 June–3 July) of the BoBBLE field programme (Fig. <xref ref-type="fig" rid="Ch1.F3"/>).
Observations from SG579, which falls right inside the dome, revealed the
development of a surface chlorophyll bloom during the same period
(Fig. <xref ref-type="fig" rid="Ch1.F4"/>a; 30 June–2 July). Chlorophyll concentration at the
surface was <inline-formula><mml:math id="M125" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula> mg m<inline-formula><mml:math id="M126" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> on 30 June, increased to <inline-formula><mml:math id="M127" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">0.7</mml:mn></mml:mrow></mml:math></inline-formula> mg m<inline-formula><mml:math id="M128" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> on 1 July and reduced to <inline-formula><mml:math id="M129" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn></mml:mrow></mml:math></inline-formula> mg m<inline-formula><mml:math id="M130" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> on 2 July
(Fig. <xref ref-type="fig" rid="Ch1.F5"/>). CTD observations were available within the dome
on 28–29 June, before the ship started moving eastwards from TSW. Until
29 June, surface chlorophyll values were much lower (<inline-formula><mml:math id="M131" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula> mg m<inline-formula><mml:math id="M132" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>), with
higher concentrations mostly confined to a depth of about 30–60 m
(Fig. <xref ref-type="fig" rid="Ch1.F4"/>e). Hence, it can be inferred that the surface
chlorophyll bloom within the dome probably commenced on 30 June, peaked on
1 July and started decaying on 2 July. There were no glider observations of
chlorophyll before 30 June to corroborate the CTD data.</p>
      <?pagebreak page1454?><p id="d1e2415">The observed increase in surface chlorophyll at SG579 coincided with the
intensification of the SLD, characterized by negative SLAs embedded within the
cyclonic circulation to the east of Sri Lanka (Fig. <xref ref-type="fig" rid="Ch1.F3"/>). Time
series of minimum SLAs in the region of the dome show that the SLD attained
its peak by the end of June (Fig. <xref ref-type="fig" rid="Ch1.F6"/>a). Sea level anomalies
decreased to about <inline-formula><mml:math id="M133" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.3 m on 30 June. The thermocline was shallow, located
at a depth of about 70 m, during the peak phase of the surface chlorophyll
bloom (1 July; Fig. <xref ref-type="fig" rid="Ch1.F4"/>). The doming of the thermocline
indicates dynamical uplifting of the nutricline and enhanced nutrient
concentrations in the euphotic zone (<xref ref-type="bibr" rid="bib1.bibx110" id="altparen.92"/>;
<xref ref-type="bibr" rid="bib1.bibx88" id="altparen.93"/>). The chlorophyll bloom event was characterized by lower
surface temperatures (28.6 <inline-formula><mml:math id="M134" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) and higher surface salinities
(33.95 psu) with upsloping isotherms and isohalines (not shown), compared to the
period when the surface chlorophyll concentrations were weak. The decay of
surface chlorophyll bloom after 2 July (Fig. <xref ref-type="fig" rid="Ch1.F5"/>) followed the
weakening of the dome (Fig. <xref ref-type="fig" rid="Ch1.F6"/>a). Surface temperature increased by
0.7 <inline-formula><mml:math id="M135" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C, and surface salinity decreased by <inline-formula><mml:math id="M136" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">1.5</mml:mn></mml:mrow></mml:math></inline-formula> psu on 3 July.
The weakening of the dome indicates reduced upwelling of the subsurface
nutrients. Nutrient limitation restrains the growth of phytoplankton, leading
to the decay of surface blooms, when the biological loss terms dominate. CTD
observations within the dome until 29 June, when the ship was at TSW, show
that the subsurface chlorophyll concentrations were weak (<inline-formula><mml:math id="M137" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.5</mml:mn></mml:mrow></mml:math></inline-formula> mg m<inline-formula><mml:math id="M138" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)
just before the surface chlorophyll event (Fig. <xref ref-type="fig" rid="Ch1.F4"/>e). This
indicates that the surface chlorophyll bloom is probably not a result of the
vertical redistribution of subsurface phytoplankton. On the other hand, the
vertical transport of subsurface nutrients to the near-surface layers can
favour the growth of phytoplankton in the given timescales (<xref ref-type="bibr" rid="bib1.bibx45" id="altparen.94"/>),
leading to the intensification of surface chlorophyll. Though the evolution
of observed chlorophyll follows the dynamics of the study region, the
concurrent role of biological loss terms, including grazing, mortality and
sinking rates, cannot be ignored, which requires additional data sampling.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6"><?xmltex \currentcnt{6}?><label>Figure 6</label><caption><p id="d1e2500"><bold>(a)</bold> Time series of Ekman vertical velocity (m day<inline-formula><mml:math id="M139" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>; black) around the location of
SG579 (85–86<inline-formula><mml:math id="M140" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, 7.5–8.5<inline-formula><mml:math id="M141" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N), and the minimum SLAs (m; red) in the region of the Sri Lanka Dome (SLD) from 5 June to 20 July. <bold>(b)</bold> Ekman vertical velocity averaged for the BoBBLE
observational period (24 June–23 July) in the southern BoB. Contours of SLAs are overlayed.
<bold>(c)</bold> Time–longitude Hovmöller diagram of SLAs along 8<inline-formula><mml:math id="M142" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N between 81 and 100<inline-formula><mml:math id="M143" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E from May to July.</p></caption>
            <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://bg.copernicus.org/articles/16/1447/2019/bg-16-1447-2019-f06.png"/>

          </fig>

      <p id="d1e2566">The southern BoB was characterized by cyclonic wind stress curl, inducing
Ekman suction during the field programme. The vertical transport of nutrients
to the surface sunlit layers through Ekman suction favours the generation of
phytoplankton blooms (<xref ref-type="bibr" rid="bib1.bibx97" id="altparen.95"/>;
<xref ref-type="bibr" rid="bib1.bibx107" id="altparen.96"/>). Spatial distribution of Ekman vertical velocities,
calculated using ASCAT winds and averaged for the BoBBLE observational period
(24 June–23 July), indicates widespread upwelling in the southern BoB
(Fig. <xref ref-type="fig" rid="Ch1.F6"/>b). Time series of Ekman vertical velocities in the location
of SG579 show that Ekman suction peaked to about 2–3 m day<inline-formula><mml:math id="M144" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> by
mid-June (Fig. <xref ref-type="fig" rid="Ch1.F6"/>a). Ekman vertical velocities remained to be
favourable for upwelling (0.4–0.7 m day<inline-formula><mml:math id="M145" 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>) during the period of surface
bloom (30 June–2 July), though the magnitudes were relatively weaker.
Strong upwelling in the second half of June, prior to the surface chlorophyll
event, is presumed to provide a favourable preconditioning by lifting the
nitracline towards the surface.</p>
      <p id="d1e2604">During the decaying phase of the SLD in July, Ekman vertical velocities were positive, with peak values of about
2 m day<inline-formula><mml:math id="M146" 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> (Fig. <xref ref-type="fig" rid="Ch1.F6"/>a). This indicates the dominant influence of remote effects propagating from the
eastern boundary of the BoB (<xref ref-type="bibr" rid="bib1.bibx94" id="altparen.97"/>; <xref ref-type="bibr" rid="bib1.bibx78" id="altparen.98"/>; <xref ref-type="bibr" rid="bib1.bibx107" id="altparen.99"/>;
<xref ref-type="bibr" rid="bib1.bibx9" id="altparen.100"/>; <xref ref-type="bibr" rid="bib1.bibx105" id="altparen.101"/>). A time–longitude Hovmöller diagram of SLAs from AVISO during May–July
along 8<inline-formula><mml:math id="M147" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, between 80 and 100<inline-formula><mml:math id="M148" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, is shown in Fig. <xref ref-type="fig" rid="Ch1.F6"/>c. The decay period of the SLD coincides with
the arrival of positive SLAs from east, representing the westward propagation of downwelling Rossby waves (<xref ref-type="bibr" rid="bib1.bibx105" id="altparen.102"/>).
Rossby waves propagating from the eastern boundary of the BoB can influence the depth of thermocline (nitracline) in the study
region. This shows that, despite the Ekman suction, remote forcings contributed to the weakening of the SLD and hence the
chlorophyll distribution. As far as surface chlorophyll is concerned, the proximity of nutricline to the surface is of
primary concern. Results from the ecosystem model have been used to identify the dominant forcings controlling the
vertical displacement of nitracline (see Sect. 3.3.1).</p>
      <p id="d1e2661"><italic>Along the path of the SMC.</italic> Increased surface
chlorophyll levels were observed at SG534 and SG532 on 1–2 July
(Fig. <xref ref-type="fig" rid="Ch1.F4"/>b) and 2–4 July (Fig. <xref ref-type="fig" rid="Ch1.F4"/>c) respectively.
Both gliders were located along the path of the SMC, with SG532 in the region
of the subsurface high salinity core (Fig. <xref ref-type="fig" rid="Ch1.F2"/>b). Surface
chlorophyll concentration peaked to about 0.35 and 0.4 mg m<inline-formula><mml:math id="M149" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> at SG534 and SG532 respectively (Fig. <xref ref-type="fig" rid="Ch1.F5"/>). This
increase in chlorophyll was associated with lower temperatures (28.7 and 29.1 <inline-formula><mml:math id="M150" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C for SG532 and SG534 respectively) and higher
salinities (34.4 and 34 psu for SG532 and SG534 respectively) at the
surface, compared to the period when the chlorophyll levels were weak.</p>
      <p id="d1e2696">Along the path of the SMC, when the surface chlorophyll levels were high, the
thermocline was deep (<inline-formula><mml:math id="M151" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">100</mml:mn></mml:mrow></mml:math></inline-formula>–130 m at SG534 and <inline-formula><mml:math id="M152" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">160</mml:mn></mml:mrow></mml:math></inline-formula>–180 m at
SG532), which is 40–100 m deeper than that in the region of the dome
(Fig. <xref ref-type="fig" rid="Ch1.F4"/>a–c). The spatial variability of thermocline is evident
from the CTD observations as well, showing a shallow thermocline during the
beginning (27–30 June) and end (20–21 July) of the field programme, when the
ship was in the west, and a deeper thermocline farther east (2–18 July;
Fig. <xref ref-type="fig" rid="Ch1.F4"/>e). A deeper thermocline generally indicates a deeper
nitracline and stronger nutrient limitation in the surface layers. At the
same time, the region of the SMC is also subject to an additional supply of
biologically rich waters advected from the coasts of India and Sri Lanka
(<xref ref-type="bibr" rid="bib1.bibx97" id="altparen.103"/>). In addition, the possibility of lateral
advection of nutrients and chlorophyll generated within the SLD to the nearby
glider locations cannot be ignored (see Sect. 3.3.2).</p>
      <p id="d1e2726"><italic>Mixing events.</italic> Chlorophyll distribution observed
outside the dome, farther east at TSE, differed from that in the region of
the SLD and SMC, in terms of intensity as well as the<?pagebreak page1455?> vertical structure.
SG620 captured two events of enhanced surface chlorophyll: the first on 3 July and the second on 6–8 July (Fig. <xref ref-type="fig" rid="Ch1.F4"/>d). The surface
chlorophyll concentrations were <inline-formula><mml:math id="M153" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula>0.3 mg m<inline-formula><mml:math id="M154" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> during both the events
(Fig. <xref ref-type="fig" rid="Ch1.F5"/>), characterized by low surface temperatures and high
surface salinities. The observed SST from SG620 was about 28.7 <inline-formula><mml:math id="M155" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C on
3 July and 28.8 <inline-formula><mml:math id="M156" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C on 6 July. Surface salinities were about 34.5 psu
and 34.7 psu on 3 July and 6 July respectively. Temporal coverage of
the first event is insufficient in explaining its evolution, since the
chlorophyll bloom decayed immediately after 3 July, when the sampling began.
Wind speed measured by the shipboard automatic weather station (AWS) was 5–9 m s<inline-formula><mml:math id="M157" 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 3 July (Fig. <xref ref-type="fig" rid="Ch1.F7"/>). A deeper mixed
layer depth (MLD) of about 60 m during this period indicates that vertical
mixing is presumably the primary factor which favoured the increase in
surface chlorophyll. The second event was captured by the CTD measurements as
well (Fig. <xref ref-type="fig" rid="Ch1.F4"/>e), consistent with the glider data. This event
coincided with a phase of increasing wind speed of about 6–11 m s<inline-formula><mml:math id="M158" 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>
(6–7 July; Fig. <xref ref-type="fig" rid="Ch1.F7"/>). Subsequent deepening of the
mixed layer (<inline-formula><mml:math id="M159" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">70</mml:mn></mml:mrow></mml:math></inline-formula> m; Fig. <xref ref-type="fig" rid="Ch1.F4"/>d) suggests the role of mixing
and entrainment in triggering the intensification of surface chlorophyll.
Enhanced vertical processes favour intensification of surface chlorophyll by
transporting nutrients to the euphotic zone and by redistributing the
subsurface chlorophyll to the surface layers.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7"><?xmltex \currentcnt{7}?><label>Figure 7</label><caption><p id="d1e2818">Time series of wind speed (m s<inline-formula><mml:math id="M160" 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>; red) from shipboard AWS at TSE (89<inline-formula><mml:math id="M161" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, 8<inline-formula><mml:math id="M162" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N).
Surface salinity (psu; blue) and total chlorophyll integrated over the mixed layer (mg m<inline-formula><mml:math id="M163" 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>; green)
is from SG620, deployed at TSE. MLD is calculated as the depth where density is equal to the sea
surface density plus an increase in density equivalent to a reduction in temperature of 0.8 <inline-formula><mml:math id="M164" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C.</p></caption>
            <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://bg.copernicus.org/articles/16/1447/2019/bg-16-1447-2019-f07.png"/>

          </fig>

      <p id="d1e2878">The decay period of the observed surface chlorophyll blooms (Fig. 5)
coincided with the development of intermittent freshening events at the
surface: the first on 4–5 July and the second on 7–10 July. The
initial drop in surface salinity during the freshening events was <inline-formula><mml:math id="M165" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn></mml:mrow></mml:math></inline-formula> psu on 4 and 7 July (Fig. <xref ref-type="fig" rid="Ch1.F7"/>). The surface
chlorophyll decreased by about 0.3 and 0.27 mg m<inline-formula><mml:math id="M166" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> during
the first and second freshening events respectively (Fig. <xref ref-type="fig" rid="Ch1.F5"/>).
There was an overall reduction in total chlorophyll integrated over the mixed
layer by about 20 mg m<inline-formula><mml:math id="M167" 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> during both the freshening events
(Fig. <xref ref-type="fig" rid="Ch1.F7"/>).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><?xmltex \currentcnt{8}?><label>Figure 8</label><caption><p id="d1e2925">Daily mean vertical profiles of temperature (<inline-formula><mml:math id="M168" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C; red), salinity (psu; blue)
and chlorophyll (mg m<inline-formula><mml:math id="M169" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>; green) for selected days from <bold>(a–e)</bold> SG620 and <bold>(f–j)</bold> CTD. The blue
dashed line indicates the mixed layer depth, which is calculated as the depth where density is
equal to the sea surface density plus an increase in density equivalent to a reduction in temperature
of 0.8 <inline-formula><mml:math id="M170" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C. The red dashed line indicates isothermal layer depth (ILD) which is calculated as
the depth where the temperature is cooler than SST by 0.8 <inline-formula><mml:math id="M171" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C. The region between the MLD and ILD represents the barrier layer.</p></caption>
            <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://bg.copernicus.org/articles/16/1447/2019/bg-16-1447-2019-f08.png"/>

          </fig>

      <p id="d1e2980">The freshening events were characterized by the formation of barrier layers
(<xref ref-type="bibr" rid="bib1.bibx100" id="altparen.104"/>). Vertical profiles of temperature, salinity and
chlorophyll from SG620 during different stages of the surface bloom evolution
are shown in Fig. <xref ref-type="fig" rid="Ch1.F8"/>a–e. During the peak of the surface
chlorophyll blooms (3 and 6 July), the mixed layer was deep (<inline-formula><mml:math id="M172" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">50</mml:mn></mml:mrow></mml:math></inline-formula>–55 m), with an almost uniform distribution of biophysical properties
(Fig. <xref ref-type="fig" rid="Ch1.F8"/>a and c), and the isothermal layer was close to the
mixed layer. The days following the peak in surface chlorophyll (4–5 and 8–10 July) were characterized by strong salinity stratification with
the arrival of freshwater in the surface layers. Surface salinity decreased
by about 0.25 and 0.75 psu for the first and second events respectively
(Fig. <xref ref-type="fig" rid="Ch1.F8"/>b and e). The mixed layer shoaled to <inline-formula><mml:math id="M173" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula>30 m,
whereas the isothermal layer remained around the same depth
(Fig. <xref ref-type="fig" rid="Ch1.F8"/>b, d and e). The associated development of barrier
layers is noticeable, with a thickness of <inline-formula><mml:math id="M174" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">25</mml:mn></mml:mrow></mml:math></inline-formula>–30 m. Following the
salinity stratification and barrier-layer formation, surface chlorophyll
decreased by about 0.1 and 0.15 mg m<inline-formula><mml:math id="M175" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> during the first and
second events respectively. Vertical profiles obtained from the CTD at TSE for
the same period are given in Fig. <xref ref-type="fig" rid="Ch1.F8"/>f–j. With the arrival of
freshwater, surface salinity from the CTD decreased by about 0.25 and 0.5 psu during the first and second events respectively, and the corresponding
decrease in surface chlorophyll was 0.1 and 0.15 mg m<inline-formula><mml:math id="M176" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
respectively. The mixed layers shoaled by about 25–30 m, creating strong
barrier layers (Fig. <xref ref-type="fig" rid="Ch1.F8"/>g, i and j). Even though high wind
speed (<inline-formula><mml:math id="M177" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula>–12 m s<inline-formula><mml:math id="M178" 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>) conditions prevailed during the decay period
of the bloom, freshwater induced stratification was strong enough to overcome
the wind effect (Fig. <xref ref-type="fig" rid="Ch1.F7"/>). The observed biological
response to freshwater is similar to that in the northern bay, where
stratification inhibits the development of phytoplankton blooms in the surface
layers by restricting the vertical transport of subsurface nutrients and
chlorophyll (<xref ref-type="bibr" rid="bib1.bibx36" id="altparen.105"/>).</p>
</sec>
<sec id="Ch1.S3.SS2.SSS2">
  <label>3.2.2</label><title>Deep chlorophyll maxima</title>
      <p id="d1e3086">The formation of DCM is determined by a variety of
mechanisms, including an enhanced growth rate of phytoplankton co-limited by light
and nutrients at optimum depths, photoacclimation of pigment content, and
physiologically controlled swimming behaviours and buoyancy regulation
(<xref ref-type="bibr" rid="bib1.bibx15" id="altparen.106"/>). The BoB is reported to have prominent DCM
(<xref ref-type="bibr" rid="bib1.bibx64" id="altparen.107"/>; <xref ref-type="bibr" rid="bib1.bibx50" id="altparen.108"/>), which contribute to the column-integrated productivity (<xref ref-type="bibr" rid="bib1.bibx28" id="altparen.109"/>; <xref ref-type="bibr" rid="bib1.bibx53" id="altparen.110"/>;
<xref ref-type="bibr" rid="bib1.bibx48" id="altparen.111"/>), with magnitudes often comparable to the highly productive
Arabian Sea (<xref ref-type="bibr" rid="bib1.bibx39" id="altparen.112"/>). However, little is known about the
distribution of subsurface chlorophyll in the BoB and the associated
processes, due to the lack of observations.</p>
      <p id="d1e3111">During the BoBBLE field programme, both the glider and CTD observations
revealed the presence of prominent DCM in the southern bay
(Figs. <xref ref-type="fig" rid="Ch1.F4"/> and <xref ref-type="fig" rid="Ch1.F9"/>a). The chlorophyll maxima
were centred at a depth of about 20–50 m, mostly below the mixed layer and
above the thermocline (<xref ref-type="bibr" rid="bib1.bibx1" id="altparen.113"/>). Similar depth ranges of DCM
were reported previously by <xref ref-type="bibr" rid="bib1.bibx28" id="text.114"/> and <xref ref-type="bibr" rid="bib1.bibx39" id="text.115"/> in<?pagebreak page1456?> the
BoB. Subsurface chlorophyll concentrations ranged from 0.3 to 1.2 mg m<inline-formula><mml:math id="M179" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
(Fig. <xref ref-type="fig" rid="Ch1.F9"/>a), which were 2–3 times higher than the surface
values (Fig. <xref ref-type="fig" rid="Ch1.F5"/>). DCM were prominent in the region of the SLD
and along the path of the SMC (Fig. <xref ref-type="fig" rid="Ch1.F4"/>a–c), whereas outside the
dome, the subsurface concentrations were weaker (Fig. <xref ref-type="fig" rid="Ch1.F4"/>d).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9"><?xmltex \currentcnt{9}?><label>Figure 9</label><caption><p id="d1e3150"><bold>(a)</bold> Concentration of deep chlorophyll maxima (mg m<inline-formula><mml:math id="M180" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) and <bold>(b)</bold> depth-integrated (100 m)
chlorophyll (mg m<inline-formula><mml:math id="M181" 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>) from ocean gliders: SG579 (black), SG534 (magenta), SG532 (blue) and SG620 (red).</p></caption>
            <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://bg.copernicus.org/articles/16/1447/2019/bg-16-1447-2019-f09.png"/>

          </fig>

      <p id="d1e3189">Vertical profiles of chlorophyll from the gliders during events of enhanced
surface chlorophyll are shown in Fig. <xref ref-type="fig" rid="Ch1.F10"/>. The mean DCM were
intense, located at a depth of about 20–30 m, in the region of the SLD and
the SMC (Fig. <xref ref-type="fig" rid="Ch1.F10"/>a–c). The DCM became weaker, diffused and
slightly deeper (30–40 m) at TSE (Fig. <xref ref-type="fig" rid="Ch1.F10"/>d and e).
Intensification of DCM in the region of SLD can be related to the doming of
thermocline. The vertical transport of nutrients is affected by the changes
in thermocline depth, and hence, the variability of nutricline is found to be
largely correlated with the variability of thermocline in the tropical oceans
(<xref ref-type="bibr" rid="bib1.bibx88" id="altparen.116"/>; <xref ref-type="bibr" rid="bib1.bibx109" id="altparen.117"/>; <xref ref-type="bibr" rid="bib1.bibx110" id="altparen.118"/>). The
shoaling of thermocline in the region of the SLD indicates an upward sloping
of nutricline, indicating nutrient enrichment in the euphotic zone and
enhanced accumulation of phytoplankton. At TSE (SG620), where the thermocline
was deeper, mixing often penetrated to deeper layers, pushing the mixed layer
towards the DCM (Fig. <xref ref-type="fig" rid="Ch1.F4"/>d and e). This favours the dilution of
DCM and a decrease in phytoplankton concentration at the subsurface through
mixing with the weakly productive surface layers, leaving a near-homogeneous
distribution of chlorophyll within the water column
(Fig. <xref ref-type="fig" rid="Ch1.F10"/>d and e).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F10"><?xmltex \currentcnt{10}?><label>Figure 10</label><caption><p id="d1e3214">Vertical profiles of chlorophyll (mg m<inline-formula><mml:math id="M182" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) from ocean gliders during surface bloom
events, as shown in Fig. <xref ref-type="fig" rid="Ch1.F5"/>. Individual profiles are given in green, and the
corresponding mean profiles are given in red. Black dashed line represents the mixed layer depth, which is
calculated as the depth where density is equal to the sea surface density plus an increase in
density equivalent to a reduction in temperature of 0.8 <inline-formula><mml:math id="M183" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C.</p></caption>
            <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://bg.copernicus.org/articles/16/1447/2019/bg-16-1447-2019-f10.png"/>

          </fig>

      <?pagebreak page1457?><p id="d1e3246">Subsurface chlorophyll concentrations were noticeably higher in the region of
the SMC (Figs. <xref ref-type="fig" rid="Ch1.F4"/>c and <xref ref-type="fig" rid="Ch1.F10"/>c). Maximum
intensities were recorded by SG532, with magnitudes ranging from 0.7 to 1.2 mg m<inline-formula><mml:math id="M184" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> on 2–7 July (Fig. <xref ref-type="fig" rid="Ch1.F9"/>a). Column-integrated
chlorophyll was also observed to be the highest at SG532 (4 July), with
total chlorophyll in the top 100 m reaching as high as 35 mg m<inline-formula><mml:math id="M185" 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>
(Fig. <xref ref-type="fig" rid="Ch1.F9"/>b), which is comparable to the previously observed
values in the BoB (<xref ref-type="bibr" rid="bib1.bibx28" id="altparen.119"/>; <xref ref-type="bibr" rid="bib1.bibx53" id="altparen.120"/>;
<xref ref-type="bibr" rid="bib1.bibx39" id="altparen.121"/>; <xref ref-type="bibr" rid="bib1.bibx48" id="altparen.122"/>). The region of the SMC is characterized by
the advection of upwelled chlorophyll-rich water from the western coast of India
and the southern coast of Sri Lanka. An isolated maximum (1.2 mg m<inline-formula><mml:math id="M186" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) in
the DCM was recorded by SG579 in the region of SLD in the latter half of the
observational period (15 July). However, in the absence of surface blooms,
the corresponding column-integrated chlorophyll was lower (28 mg m<inline-formula><mml:math id="M187" 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>)
compared to the region of the SMC.</p>
      <p id="d1e3319">The core subsurface intrusion of the SMC, below the low salinity surface
waters of the southern bay, was located around SG532 during the observational
period (<xref ref-type="bibr" rid="bib1.bibx100" id="altparen.123"/>; <xref ref-type="bibr" rid="bib1.bibx105" id="altparen.124"/>). The vertical
salinity structure reveals a high salinity core at 88<inline-formula><mml:math id="M188" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, extending up
to a depth of about 180 m, with salinity values as high as 35.8 psu
(Fig. <xref ref-type="fig" rid="Ch1.F2"/>b). Arabian Sea water, which is rich in
nutrients and chlorophyll sliding through the subsurface layers of the BoB,
is presumed to contribute to the intensification of the DCM at SG532,
suggesting a key role of SMC intrusion in the biological budget of the
southern bay. However, it may be noted that the location of the subsurface
high salinity core was much deeper relative to the depth of DCM. Most of the
high salinity intrusions at 88<inline-formula><mml:math id="M189" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E occurred below 80 m, in the deeper
layers of the euphotic zone. Dynamics behind the distribution of the DCM in
the region of the high salinity core are intricate. Though the effect of
lateral advection by the SMC on DCM cannot be ignored, the possible
contribution of vertical processes in supplying the subsurface nutrients or
chlorophyll needs to be examined in detail.</p>
      <p id="d1e3348">Subsurface chlorophyll concentrations were observed to intensify for shorter
durations following the weakening of surface blooms (Fig. <xref ref-type="fig" rid="Ch1.F4"/>).
Increases in DCM concentrations after the decay of surface blooms were about
0.13, 0.37 and 0.25 mg m<inline-formula><mml:math id="M190" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> at SG534, SG532 and
SG620 respectively (Fig. <xref ref-type="fig" rid="Ch1.F9"/>a). In the region of the SLD
(SG579), the subsurface chlorophyll concentrations increased to <inline-formula><mml:math id="M191" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">0.7</mml:mn></mml:mrow></mml:math></inline-formula> mg m<inline-formula><mml:math id="M192" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> during the peak phase of the surface bloom (1 July). During the
decaying phase of the surface bloom (2–5 July), these high chlorophyll
levels (0.7 mg m<inline-formula><mml:math id="M193" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) were maintained at the subsurface and weakened
afterwards (Fig. <xref ref-type="fig" rid="Ch1.F9"/>a). This indicates enhanced biological
productivity at the subsurface, after the triggering mechanisms inducing the
surface blooms have weakened. During the decaying phase of surface blooms,
the upper layers of the water column became less turbulent or more stably
stratified (Fig. <xref ref-type="fig" rid="Ch1.F8"/>), inhibiting the vertical transport of
nutrients and chlorophyll. For example, the surface bloom event at SG620
weakened in response to the freshening event on 8 July
(Fig. <xref ref-type="fig" rid="Ch1.F8"/>b). Consequently, there was an increase in DCM, which
lasted for a period of about 2–3 days, from 10 to 12 July
(Fig. <xref ref-type="fig" rid="Ch1.F9"/>a). The observed intensification of DCM in the absence
of surface chlorophyll can be explained in terms of changes in subsurface
irradiance levels. During the decaying phase of the surface bloom, the
self-shading effect of surface phytoplankton weakens, enhancing the light
availability at the subsurface, which is examined in the following section.</p>
</sec>
<sec id="Ch1.S3.SS2.SSS3">
  <label>3.2.3</label><title>Role of light limitation</title>
      <p id="d1e3418">Chlorophyll interactive penetrative radiation was calculated at TSE for the
period 4–14 July, following the <xref ref-type="bibr" rid="bib1.bibx61" id="text.125"/> and <xref ref-type="bibr" rid="bib1.bibx54" id="text.126"/> scheme
as given below:</p>
      <p id="d1e3427"><disp-formula specific-use="align" content-type="numbered"><mml:math id="M194" display="block"><mml:mtable displaystyle="true"><mml:mtr><mml:mtd><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:msub><mml:mi>I</mml:mi><mml:mrow><mml:mo>(</mml:mo><mml:mi>z</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub></mml:mrow></mml:mtd><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:mo>=</mml:mo><mml:msub><mml:mi>I</mml:mi><mml:mi mathvariant="normal">IR</mml:mi></mml:msub><mml:mo>⋅</mml:mo><mml:msup><mml:mi>e</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:msub><mml:mi>k</mml:mi><mml:mi mathvariant="normal">IR</mml:mi></mml:msub><mml:mi>z</mml:mi></mml:mrow></mml:msup><mml:mo>+</mml:mo><mml:msub><mml:mi>I</mml:mi><mml:mrow><mml:mi mathvariant="normal">RED</mml:mi><mml:mo>(</mml:mo><mml:mi>z</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn><mml:mo>)</mml:mo></mml:mrow></mml:msub><mml:mo>⋅</mml:mo><mml:msup><mml:mi>e</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:msub><mml:mi>k</mml:mi><mml:mrow><mml:mo>(</mml:mo><mml:mi mathvariant="normal">RED</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>z</mml:mi></mml:mrow></mml:msup><mml:mo>+</mml:mo><mml:msub><mml:mi>I</mml:mi><mml:mrow><mml:mi mathvariant="normal">BLUE</mml:mi><mml:mo>(</mml:mo><mml:mi>z</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn><mml:mo>)</mml:mo></mml:mrow></mml:msub></mml:mrow></mml:mtd></mml:mtr><mml:mlabeledtr id="Ch1.E1"><mml:mtd><mml:mtext>1</mml:mtext></mml:mtd><mml:mtd><mml:mstyle displaystyle="true" class="stylechange"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:mo>⋅</mml:mo><mml:msup><mml:mi>e</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:msub><mml:mi>k</mml:mi><mml:mrow><mml:mo>(</mml:mo><mml:mi mathvariant="normal">BLUE</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>z</mml:mi></mml:mrow></mml:msup><mml:mo>,</mml:mo></mml:mrow></mml:mtd></mml:mlabeledtr></mml:mtable></mml:math></disp-formula>

              where <inline-formula><mml:math id="M195" display="inline"><mml:mrow><mml:msub><mml:mi>I</mml:mi><mml:mrow><mml:mo>(</mml:mo><mml:mi>z</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula> is the penetrative radiation at each depth level,
<inline-formula><mml:math id="M196" display="inline"><mml:mrow><mml:msub><mml:mi>I</mml:mi><mml:mi mathvariant="normal">IR</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mi>I</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>⋅</mml:mo><mml:mo>(</mml:mo><mml:mn mathvariant="normal">0.58</mml:mn><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> represents the infrared band, <inline-formula><mml:math id="M197" display="inline"><mml:mrow><mml:msub><mml:mi>I</mml:mi><mml:mi mathvariant="normal">VIS</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mi>I</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>⋅</mml:mo><mml:mo>(</mml:mo><mml:mn mathvariant="normal">0.42</mml:mn><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> represents the visible band and <inline-formula><mml:math id="M198" display="inline"><mml:mrow><mml:msub><mml:mi>k</mml:mi><mml:mi mathvariant="normal">IR</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">2.86</mml:mn></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M199" 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> is the light
attenuation coefficient for the infrared band. The self-shading effect of
phytoplankton is taken into account so that at every vertical level (<inline-formula><mml:math id="M200" display="inline"><mml:mi>z</mml:mi></mml:math></inline-formula>), the
available visible light is computed as a function of irradiance at the level
just above (<inline-formula><mml:math id="M201" display="inline"><mml:mrow><mml:mi>z</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula>). <inline-formula><mml:math id="M202" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>z</mml:mi></mml:mrow></mml:math></inline-formula> is the thickness of each layer between two
vertical levels, which is 1 m in the present glider data. Visible light is
split into two averaged wavelength bands as given below,</p>
      <p id="d1e3690"><disp-formula id="Ch1.E2" content-type="numbered"><label>2</label><mml:math id="M203" display="block"><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:msub><mml:mi>I</mml:mi><mml:mi mathvariant="normal">RED</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mi>I</mml:mi><mml:mi mathvariant="normal">BLUE</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msub><mml:mi>I</mml:mi><mml:mi mathvariant="normal">VIS</mml:mi></mml:msub></mml:mrow><mml:mn mathvariant="normal">2</mml:mn></mml:mfrac></mml:mstyle><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>

            where <inline-formula><mml:math id="M204" display="inline"><mml:mrow><mml:msub><mml:mi>I</mml:mi><mml:mi mathvariant="normal">RED</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M205" display="inline"><mml:mrow><mml:msub><mml:mi>I</mml:mi><mml:mi mathvariant="normal">BLUE</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> are the irradiances in red and
blue–green bands respectively.</p>
      <?pagebreak page1458?><p id="d1e3747">The light attenuation coefficients for the two visible bands is calculated as
a function of chlorophyll concentration ([Chl]) as follows:</p>
      <p id="d1e3751"><disp-formula specific-use="align" content-type="numbered"><mml:math id="M206" display="block"><mml:mtable displaystyle="true"><mml:mlabeledtr id="Ch1.E3"><mml:mtd><mml:mtext>3</mml:mtext></mml:mtd><mml:mtd><mml:mstyle displaystyle="true" class="stylechange"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:msub><mml:mi>k</mml:mi><mml:mrow><mml:mo>(</mml:mo><mml:mi mathvariant="normal">RED</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.225</mml:mn><mml:mo>+</mml:mo><mml:mn mathvariant="normal">0.037</mml:mn><mml:mo>⋅</mml:mo><mml:mo>[</mml:mo><mml:mi mathvariant="normal">Chl</mml:mi><mml:msup><mml:mo>]</mml:mo><mml:mn mathvariant="normal">0.629</mml:mn></mml:msup><mml:mo>,</mml:mo></mml:mrow></mml:mtd></mml:mlabeledtr><mml:mlabeledtr id="Ch1.E4"><mml:mtd><mml:mtext>4</mml:mtext></mml:mtd><mml:mtd><mml:mstyle class="stylechange" displaystyle="true"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:msub><mml:mi>k</mml:mi><mml:mrow><mml:mo>(</mml:mo><mml:mi mathvariant="normal">BLUE</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.0232</mml:mn><mml:mo>+</mml:mo><mml:mn mathvariant="normal">0.074</mml:mn><mml:mo>⋅</mml:mo><mml:mo>[</mml:mo><mml:mi mathvariant="normal">Chl</mml:mi><mml:msup><mml:mo>]</mml:mo><mml:mn mathvariant="normal">0.674</mml:mn></mml:msup><mml:mo>.</mml:mo></mml:mrow></mml:mtd></mml:mlabeledtr></mml:mtable></mml:math></disp-formula>

              Surface irradiance (<inline-formula><mml:math id="M207" display="inline"><mml:mrow><mml:msub><mml:mi>I</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) for the above calculations was obtained from
shipboard AWS (Fig. <xref ref-type="fig" rid="Ch1.F11"/>a) and chlorophyll from SG620
(Fig. <xref ref-type="fig" rid="Ch1.F4"/>d). In order to exclude the effect of daily variation
in surface irradiance, a diurnal composite of radiation (Fig. <xref ref-type="fig" rid="Ch1.F11"/>a)
for the period 4–14 July is also used for the calculations.
Photosynthetically active radiation (PAR) at each vertical level (<inline-formula><mml:math id="M208" display="inline"><mml:mi>z</mml:mi></mml:math></inline-formula>) was
estimated using the following expression:

                  <disp-formula id="Ch1.E5" content-type="numbered"><label>5</label><mml:math id="M209" display="block"><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:msub><mml:mi mathvariant="normal">PAR</mml:mi><mml:mrow><mml:mo>(</mml:mo><mml:mi>z</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mi>I</mml:mi><mml:mrow><mml:msub><mml:mi mathvariant="normal">vis</mml:mi><mml:mrow><mml:mo>(</mml:mo><mml:mi>z</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub></mml:mrow></mml:msub><mml:mo>×</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mn mathvariant="normal">2.5</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow><mml:mrow><mml:mn mathvariant="normal">6.023</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">23</mml:mn></mml:msup></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>

            where <inline-formula><mml:math id="M210" display="inline"><mml:mrow><mml:msub><mml:mi>I</mml:mi><mml:mrow><mml:msub><mml:mi mathvariant="normal">vis</mml:mi><mml:mo>(</mml:mo></mml:msub><mml:mi>z</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula> is the penetrative radiation (W m<inline-formula><mml:math id="M211" 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>) in the visible
range calculated using the light model and <inline-formula><mml:math id="M212" display="inline"><mml:mrow><mml:mn mathvariant="normal">2.5</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> quanta s<inline-formula><mml:math id="M213" 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> W<inline-formula><mml:math id="M214" 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> is the conversion factor obtained from <xref ref-type="bibr" rid="bib1.bibx62" id="text.127"/>.
The depth of euphotic zone (<inline-formula><mml:math id="M215" display="inline"><mml:mrow><mml:msub><mml:mi>Z</mml:mi><mml:mi mathvariant="normal">eu</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) was calculated as the depth at which
light reduces to 1 % of the surface PAR value. Considering the fact that
phytoplankton sees the absolute light level and not the percentage (<xref ref-type="bibr" rid="bib1.bibx3" id="altparen.128"/>), the depth of threshold isolume (<inline-formula><mml:math id="M216" display="inline"><mml:mrow><mml:msub><mml:mi>Z</mml:mi><mml:mn mathvariant="normal">0.415</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) is taken as the depth
where PAR is 0.415 E m<inline-formula><mml:math id="M217" 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> day<inline-formula><mml:math id="M218" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> below which light is insufficient to
support photosynthesis (<xref ref-type="bibr" rid="bib1.bibx47" id="altparen.129"/>; <xref ref-type="bibr" rid="bib1.bibx7" id="altparen.130"/>). An
einstein (E) is a mole of photons, i.e., <inline-formula><mml:math id="M219" display="inline"><mml:mrow><mml:mn mathvariant="normal">6.023</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">23</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> photons.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F11"><?xmltex \currentcnt{11}?><label>Figure 11</label><caption><p id="d1e4070"><bold>(a)</bold> Surface solar radiation measured by the shipboard AWS at TSE from 4 to 14 July
(red), and the corresponding diurnal composite (black) calculated for the same period. Penetrative
shortwave radiation is (W m<inline-formula><mml:math id="M220" 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>) calculated following <xref ref-type="bibr" rid="bib1.bibx61" id="text.131"/> and <xref ref-type="bibr" rid="bib1.bibx54" id="text.132"/>
scheme using <bold>(b)</bold> observed and <bold>(c)</bold> diurnal composite of radiation. Chlorophyll from SG620 is
used for the calculations. Photosynthetically active radiation (PAR;  E m<inline-formula><mml:math id="M221" 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> s<inline-formula><mml:math id="M222" 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
estimated from the calculated penetrative radiation in the visible range, following <xref ref-type="bibr" rid="bib1.bibx62" id="text.133"/>.
The red stars in <bold>(b)</bold> and <bold>(c)</bold> represent daily averaged depth of euphotic zone (<inline-formula><mml:math id="M223" display="inline"><mml:mrow><mml:msub><mml:mi>Z</mml:mi><mml:mi mathvariant="normal">eu</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, m) which
is taken as the depth at which light reduces to 1 % of the surface PAR value. The black contours
in <bold>(b)</bold> and <bold>(c)</bold> represent the depth of threshold isolume (<inline-formula><mml:math id="M224" display="inline"><mml:mrow><mml:msub><mml:mi>Z</mml:mi><mml:mn mathvariant="normal">0.415</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, m) taken as the depth at which
PAR is 0.415 E m<inline-formula><mml:math id="M225" 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> s<inline-formula><mml:math id="M226" 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>.</p></caption>
            <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://bg.copernicus.org/articles/16/1447/2019/bg-16-1447-2019-f11.png"/>

          </fig>

      <p id="d1e4192">Estimated penetrative radiation (W m<inline-formula><mml:math id="M227" 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>) using the observed surface
irradiance and the diurnal composite are shown in Fig. <xref ref-type="fig" rid="Ch1.F11"/>b and c
respectively. The corresponding depths of euphotic zone and the threshold
isolume obtained from the calculated PAR values are overlayed. Nearly 40 %–60 % of the radiation was absorbed in the top 1 m of the water column and
80 %–90 % in the top 30 m. Below the DCM, irradiance levels were
substantially weaker (<inline-formula><mml:math id="M228" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> W m<inline-formula><mml:math id="M229" 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>). During the daylight hours of peak
insolation, <inline-formula><mml:math id="M230" display="inline"><mml:mrow><mml:msub><mml:mi>Z</mml:mi><mml:mn mathvariant="normal">0.415</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> extended to 70–110 m, with a well-defined diurnal
cycle. During days of enhanced surface chlorophyll, <inline-formula><mml:math id="M231" display="inline"><mml:mrow><mml:msub><mml:mi>Z</mml:mi><mml:mn mathvariant="normal">0.415</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M232" display="inline"><mml:mrow><mml:msub><mml:mi>Z</mml:mi><mml:mi mathvariant="normal">eu</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>
were shallow. <inline-formula><mml:math id="M233" display="inline"><mml:mrow><mml:msub><mml:mi>Z</mml:mi><mml:mn mathvariant="normal">0.415</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> shoaled to a depth of about 70–80 m, and <inline-formula><mml:math id="M234" display="inline"><mml:mrow><mml:msub><mml:mi>Z</mml:mi><mml:mi mathvariant="normal">eu</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>
was about <inline-formula><mml:math id="M235" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">50</mml:mn></mml:mrow></mml:math></inline-formula> m during the chlorophyll bloom event at the surface on
6–7 July. The shoaling of the <inline-formula><mml:math id="M236" display="inline"><mml:mrow><mml:msub><mml:mi>Z</mml:mi><mml:mn mathvariant="normal">0.415</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M237" display="inline"><mml:mrow><mml:msub><mml:mi>Z</mml:mi><mml:mi mathvariant="normal">eu</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> indicates the
self-shading effect of surface phytoplankton. Elevated levels of chlorophyll
enhance the absorption of radiation in the surface layers
(Fig. <xref ref-type="fig" rid="Ch1.F11"/>b). Calculations using the diurnal composite of irradiance
also give similar results (Fig. <xref ref-type="fig" rid="Ch1.F11"/>c). Enhanced attenuation of
radiation by near-surface phytoplankton reduces the irradiance levels in the
deeper layers and strengthens the light limitation on phytoplankton growth in
the subsurface. As a result, bloom activity weakens in the subsurface layers,
despite the availability of nutrients.</p>
      <p id="d1e4324">Following the decay of surface blooms owing to nutrient limitation,
<inline-formula><mml:math id="M238" display="inline"><mml:mrow><mml:msub><mml:mi>Z</mml:mi><mml:mn mathvariant="normal">0.415</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M239" display="inline"><mml:mrow><mml:msub><mml:mi>Z</mml:mi><mml:mi mathvariant="normal">eu</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> increased due to the penetration of radiation to
deeper layers (<xref ref-type="bibr" rid="bib1.bibx70" id="altparen.134"/>). <inline-formula><mml:math id="M240" display="inline"><mml:mrow><mml:msub><mml:mi>Z</mml:mi><mml:mn mathvariant="normal">0.415</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M241" display="inline"><mml:mrow><mml:msub><mml:mi>Z</mml:mi><mml:mi mathvariant="normal">eu</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> deepened by
about 25 and 10 m respectively on 8 July (Fig. <xref ref-type="fig" rid="Ch1.F11"/>b). Enhanced
light availability in the subsurface layers favours the intensification of
DCM (Figs. <xref ref-type="fig" rid="Ch1.F4"/>d, e and Fig. <xref ref-type="fig" rid="Ch1.F8"/>). It should be noted
that the DCM may not represent a deep biomass maximum, as photoacclimation
(<xref ref-type="bibr" rid="bib1.bibx14" id="altparen.135"/>; <xref ref-type="bibr" rid="bib1.bibx23" id="altparen.136"/>; <xref ref-type="bibr" rid="bib1.bibx55" id="altparen.137"/>) leads to
changes in carbon-to-chlorophyll ratios. At the base of the euphotic layer,
the cellular concentration of chlorophyll will increase as an adaptation to
the lower irradiance levels (<xref ref-type="bibr" rid="bib1.bibx15" id="altparen.138"/>).</p><?xmltex \hack{\newpage}?>
</sec>
</sec>
<?pagebreak page1459?><sec id="Ch1.S3.SS3">
  <label>3.3</label><title>Model simulation</title>
      <p id="d1e4405">A coupled physical–ecosystem model, employed to study the aforementioned
biophysical interactions in the BoBBLE region, enabled further understanding
of the three-dimensional mixed layer processes controlling the evolution of
chlorophyll blooms. The role of horizontal advection by the SMC and dynamics
of the SLD in determining the simulated distribution of nutrients and
chlorophyll are analysed in detail. The model provides a fairly good
representation of the biophysical features in the BoB. The physical model
reproduces the observed seasonal and intraseasonal features of the Indian
Ocean, with a realistic representation of the mixed layer processes and the
heat and freshwater budgets (<xref ref-type="bibr" rid="bib1.bibx41" id="altparen.139"/>; <xref ref-type="bibr" rid="bib1.bibx42" id="altparen.140"/>;
<xref ref-type="bibr" rid="bib1.bibx92" id="altparen.141"/>; <xref ref-type="bibr" rid="bib1.bibx4" id="altparen.142"/>). Basin-averaged SST in
the BoB (80–100<inline-formula><mml:math id="M242" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E and 0–25<inline-formula><mml:math id="M243" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N) for the month of July is about
28.37 <inline-formula><mml:math id="M244" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C, with a cold bias of 0.85 <inline-formula><mml:math id="M245" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C compared to the GHRSST
observations. The seasonal temperature distribution of the southern bay,
including the cooling associated with upwelling off the coasts of India and
Sri Lanka and the development of the cold pool, is well represented. The
model reproduces the low salinity plumes associated with freshwater influx in
the northern bay and high salinity intrusions from the Arabian Sea into the
southern bay. Mean surface salinity for the basin is about 32.59 psu for the
month of July, which exceeds SMAP observations by about 0.6 psu. The
intrusion of the SMC into the BoB and its bifurcation into several branches
is reproduced by the model. The vertical distribution of salinity reveals
intermittent occurrence of high salinity cores at deeper levels, associated
with the subsurface intrusion of the SMC. The model reproduces a
well-developed SLD, characterized by negative SLAs (<inline-formula><mml:math id="M246" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> cm) embedded within
the cyclonic circulation east of Sri Lanka, consistent with the AVISO
observations.</p>
      <p id="d1e4467">The TOPAZ ecosystem model simulates the mean distribution of oceanic
productivity well (<xref ref-type="bibr" rid="bib1.bibx74" id="altparen.143"/>; <xref ref-type="bibr" rid="bib1.bibx69" id="altparen.144"/>;
<xref ref-type="bibr" rid="bib1.bibx77" id="altparen.145"/>), and the biophysical interactions associated with
major climatic events including the Indian Ocean Dipole, El Niño–Southern
Oscillation and Atlantic Multidecadal Oscillation (<xref ref-type="bibr" rid="bib1.bibx67" id="altparen.146"/>;
<xref ref-type="bibr" rid="bib1.bibx68" id="altparen.147"/>; <xref ref-type="bibr" rid="bib1.bibx27" id="altparen.148"/>). The model provides a
realistic representation of the monsoonal biophysical interactions in the
Indian Ocean and has been used to explain the bloom dynamics of the northwestern
BoB during the summer monsoon (<xref ref-type="bibr" rid="bib1.bibx87" id="altparen.149"/>) and the northeastern
Arabian Sea during winter (<xref ref-type="bibr" rid="bib1.bibx90" id="altparen.150"/>).</p>
      <p id="d1e4495">For the present analysis, simulated surface chlorophyll is validated using
monthly means obtained from the OC-CCI merged product. The observed spatial
distribution of surface chlorophyll, averaged for the month of July to be
consistent with the BoBBLE period, is shown in Fig. <xref ref-type="fig" rid="Ch1.F12"/>a. Along
the path of the SMC, a distinct band of chlorophyll is present, with
concentrations of about 0.3–0.6 mg m<inline-formula><mml:math id="M247" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. The band extends from the
southern coast of Sri Lanka up to about 11<inline-formula><mml:math id="M248" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N and 89<inline-formula><mml:math id="M249" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E,
indicating lateral transport of nutrients and chlorophyll carried by the SMC
from the upwelling regions off the coasts of India and Sri Lanka. Seasonal
evolution of chlorophyll in the region of the SLD is not well captured by the
satellites, probably because of gaps in the ocean colour retrieval during the
peak phase of the dome (29 June to 2 July). Moderate chlorophyll
concentrations (0.2–0.3 mg m<inline-formula><mml:math id="M250" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) are observed in regions farther east
and southeast of the monsoon current.</p>
<sec id="Ch1.S3.SS3.SSS1">
  <label>3.3.1</label><title>Simulated chlorophyll distribution</title>
      <p id="d1e4549">The observed spatial distribution of surface chlorophyll in the BoB is well
represented by the model (Fig. <xref ref-type="fig" rid="Ch1.F12"/>b), with prominent chlorophyll
blooms in the coastal ocean, northwestern bay and the southern bay
(<xref ref-type="bibr" rid="bib1.bibx91" id="altparen.151"/>). Chlorophyll concentrations are the highest
along the coastal regions, with magnitudes exceeding 1 mg m<inline-formula><mml:math id="M251" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. The
northwestern bay is characterized by the seasonal occurrence of upwelling
blooms triggered by coastal Ekman suction and advection towards the offshore
regions (<xref ref-type="bibr" rid="bib1.bibx87" id="altparen.152"/>). The southern bay exhibits isolated patches
of chlorophyll in the region of the SLD and along the path of the SMC.
Surface chlorophyll concentrations are about 0.6–0.7 and
0.3–0.4 mg m<inline-formula><mml:math id="M252" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in the region of the SLD and the SMC respectively. The
model chlorophyll is generally weaker compared to satellite observations. The
bias can be attributed either to the deficiencies in external nutrient inputs
in the model or to the overestimation of coastal blooms by satellites in the
presence of optically active constituents other than chlorophyll
(<xref ref-type="bibr" rid="bib1.bibx29" id="altparen.153"/>; <xref ref-type="bibr" rid="bib1.bibx6" id="altparen.154"/>). The presence of DCM
is well represented by the model, consistent with the glider and CTD
observations. Realistic representation of the chlorophyll distribution
indicates that the model is suitable for explaining the underlying
mechanisms. It may also be noted that the model parameterizations on
different biological controls can lead to biases in the simulated fields and
processes with respect to the actual observations. For example, the model
includes implicit representation of grazing, and hence loss of phytoplankton
though grazing is independent of the zooplankton biomass.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F12"><?xmltex \currentcnt{12}?><label>Figure 12</label><caption><p id="d1e4593">Comparison of the coupled physical–ecosystem model simulation with observations.
Monthly mean surface chlorophyll concentrations (mg m<inline-formula><mml:math id="M253" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) for July 2016 from <bold>(a)</bold> ESA OC-CCI
merged product and <bold>(b)</bold> model. Monthly mean SLAs (m) are overlayed with surface current (m s<inline-formula><mml:math id="M254" 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>)
vectors from <bold>(c)</bold> AVISO and <bold>(d)</bold> model. Green contour in panel <bold>(d)</bold> represents 0.2 mmol kg<inline-formula><mml:math id="M255" 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> nitrate
isolines. The glider locations are marked as circles in the study region along 8<inline-formula><mml:math id="M256" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N.</p></caption>
            <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://bg.copernicus.org/articles/16/1447/2019/bg-16-1447-2019-f12.png"/>

          </fig>

      <p id="d1e4663">While the major seasonal features of the southern BoB are reproduced by the
model, they are often not exactly at the observed locations. For example, the
SLD is slightly shifted westward and the meandering of the SMC around Sri
Lanka is weaker (Fig. <xref ref-type="fig" rid="Ch1.F12"/>c and d), probably due to the
discrepancies in the model wind forcing or the simulated remote forcings. The
eastward (northward) extension of surface chlorophyll associated with the SMC
is overestimated (underestimated). These inaccuracies can be ignored while
examining the large-scale seasonal features but may be significant at
mesoscales or smaller scales. Hence, the ecosystem model<?pagebreak page1460?> results are used to
explain the biological response to seasonal features including the Sri Lanka Dome and the monsoon current, in comparison with the concurrent observations
from gliders (SG579, SG534 and SG532) and the shipboard CTD.</p>
      <p id="d1e4669">The model SLD develops around 85<inline-formula><mml:math id="M257" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, 8<inline-formula><mml:math id="M258" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, close to the sampling
location of SG579. A longitudinal transect extending from 82 to
92<inline-formula><mml:math id="M259" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E along 8<inline-formula><mml:math id="M260" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N is selected to examine the vertical distribution
of temperature, salinity, nitrate and chlorophyll on 1 July, during the peak
phase of the surface chlorophyll bloom in the region of the SLD
(Fig. <xref ref-type="fig" rid="Ch1.F13"/>). The region is characterized by an intense chlorophyll
bloom (<inline-formula><mml:math id="M261" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">0.5</mml:mn></mml:mrow></mml:math></inline-formula>–0.8 mg m<inline-formula><mml:math id="M262" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) at the surface and a prominent DCM
(<inline-formula><mml:math id="M263" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">0.5</mml:mn></mml:mrow></mml:math></inline-formula>–1.2 mg m<inline-formula><mml:math id="M264" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>). The DCM lies below the mixed layer, centred
at a depth of about 20–30 m, and is about 10–30 m shallower than the nearby
regions (Fig. <xref ref-type="fig" rid="Ch1.F13"/>a). Temperature profiles show upsloping
isotherms, providing cooler (27 <inline-formula><mml:math id="M265" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) waters to the surface layers
(Fig. <xref ref-type="fig" rid="Ch1.F13"/>b). Similarly, the salinity distribution shows increased
surface salinity (33.5 psu), with isohalines shoaling to the surface
(Fig. <xref ref-type="fig" rid="Ch1.F13"/>c). Doming of the thermocline (D20) is evident between
83 and 87<inline-formula><mml:math id="M266" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E along the transect (Fig. <xref ref-type="fig" rid="Ch1.F13"/>b). The thermocline
rises to a depth of <inline-formula><mml:math id="M267" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> m, which is about 80 m shallower than the nearby
regions outside the dome. The surface layers were enriched with high nitrate
concentrations in excess of 10 <inline-formula><mml:math id="M268" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol kg<inline-formula><mml:math id="M269" 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> (Fig. <xref ref-type="fig" rid="Ch1.F13"/>a). By
the second week of July, cyclonic circulation in the region of dome weakened
and shifted towards the northwest, followed by the weakening of chlorophyll.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F13"><?xmltex \currentcnt{13}?><label>Figure 13</label><caption><p id="d1e4817">Depth–longitude sections of <bold>(a)</bold> chlorophyll (mg m<inline-formula><mml:math id="M270" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>), <bold>(b)</bold> temperature (<inline-formula><mml:math id="M271" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C)
and <bold>(c)</bold> salinity (psu) along 8<inline-formula><mml:math id="M272" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N for 1 July 2016 from the ecosystem model. Black contours
in panels <bold>(a)</bold>, <bold>(b)</bold> and <bold>(c)</bold> represent nitrate (1, 2 and
10 <inline-formula><mml:math id="M273" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol kg<inline-formula><mml:math id="M274" 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>), temperature (20 and 28 <inline-formula><mml:math id="M275" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) and salinity (33 and 34 psu)
respectively. Green curve in panel <bold>(b)</bold> represents the model mixed layer depth.</p></caption>
            <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://bg.copernicus.org/articles/16/1447/2019/bg-16-1447-2019-f13.png"/>

          </fig>

      <p id="d1e4908">The dynamics of the SLD favour biological productivity through the vertical
transport of nutrients induced by open-ocean upwelling
(<xref ref-type="bibr" rid="bib1.bibx97" id="altparen.155"/>; <xref ref-type="bibr" rid="bib1.bibx91" id="altparen.156"/>). The time series
of minimum SLAs in the region of the SLD shows that the modelled dome peaked
on 28 June (Fig. <xref ref-type="fig" rid="Ch1.F14"/>), 2 days prior to the observed peak. The
simulated chlorophyll bloom intensifies during the peak phase of the dome and
decays with the weakening of the dome, consistent with the BoBBLE
observations. The developing phase of simulated SLD (14–28 July) was
characterized by the shoaling of nitracline (Fig. <xref ref-type="fig" rid="Ch1.F14"/>). We
prefer using the 2 <inline-formula><mml:math id="M276" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol kg<inline-formula><mml:math id="M277" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> nitrate isoline as the nitracline
rather than the vertical gradient criterion, since the absolute concentration
of nutrients available for phytoplankton uptake is more important for bloom
generation than the gradients (<xref ref-type="bibr" rid="bib1.bibx110" id="altparen.157"/>). The shoaling rate of
the nitracline increased to about 1.0 m day<inline-formula><mml:math id="M278" 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> by mid-June and closely
followed the Ekman vertical velocities. This shows that the vertical supply
of nutrients to the surface layers during the developing phase of the SLD can
be largely attributed to Ekman suction. During the peak phase of the SLD,
both Ekman suction and nitracline shoaling rates weakened. However, the
larger shoaling rates during the preceding week indicate a favourable
preconditioning for the generation of chlorophyll blooms during the<?pagebreak page1461?> peak
phase of the SLD. Ekman suction gradually increased during the decaying phase
of the SLD. The corresponding deepening tendency of the nitracline was not
consistent with the positive Ekman vertical velocities, indicating the
influence of remote forcings.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F14"><?xmltex \currentcnt{14}?><label>Figure 14</label><caption><p id="d1e4959">Ekman vertical velocity (m day<inline-formula><mml:math id="M279" 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>; black) and tendencies of nitracline
(m day<inline-formula><mml:math id="M280" 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>; red) and D26 (m day<inline-formula><mml:math id="M281" 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>; green) averaged over the region of the modelled Sri
Lanka Dome. Note that the tendency terms are reversed in sign so that positive
values indicate shoaling and the negative values indicate deepening. D26 is taken as the depth of the 26 <inline-formula><mml:math id="M282" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C isotherm.
Nitracline is defined as the depth of 2 <inline-formula><mml:math id="M283" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol kg<inline-formula><mml:math id="M284" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> nitrate isoline. Minimum sea level
anomaly (m; blue) in the region of the SLD is overlayed.</p></caption>
            <?xmltex \igopts{width=199.169291pt}?><graphic xlink:href="https://bg.copernicus.org/articles/16/1447/2019/bg-16-1447-2019-f14.png"/>

          </fig>

      <p id="d1e5034">Chlorophyll distribution in the region of the SMC is influenced by the
horizontal advection of both nutrients and chlorophyll. Simulated surface
nitrate shows enhanced concentrations along the path of the SMC, indicating
the lateral advection of nutrient-rich waters from the Arabian Sea
(Fig. <xref ref-type="fig" rid="Ch1.F12"/>d). Advection of phytoplankton from the upwelling
regions off the coasts of India and Sri Lanka could further intensify the
chlorophyll concentration (<xref ref-type="bibr" rid="bib1.bibx97" id="altparen.158"/>;
<xref ref-type="bibr" rid="bib1.bibx91" id="altparen.159"/>). The relative role of mixed layer processes in
maintaining the chlorophyll concentrations along the path of the SMC is presented
in Sect. 3.3.2.</p>
      <p id="d1e5046">The model DCM shows large spatial variability in terms of intensity and
depth. The DCM is strong in the region of the SLD and along the path of the
SMC (Fig. <xref ref-type="fig" rid="Ch1.F15"/>a), consistent with the glider observations
(Fig. <xref ref-type="fig" rid="Ch1.F4"/>). Subsurface chlorophyll concentrations increase to
about 1.2 <inline-formula><mml:math id="M285" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol kg<inline-formula><mml:math id="M286" 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> within the dome, which is more than twice the
concentrations outside the dome. At the same time, the depth of the DCM is
minimum in the region of the SLD (Fig. <xref ref-type="fig" rid="Ch1.F15"/>c). The DCM shoals to
<inline-formula><mml:math id="M287" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula>20 m within the dome and deepens to <inline-formula><mml:math id="M288" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">70</mml:mn></mml:mrow></mml:math></inline-formula> m outside the dome.
Productivity is closely correlated with SLAs and the depth of the nitracline
and thermocline (<xref ref-type="bibr" rid="bib1.bibx82 bib1.bibx83 bib1.bibx110 bib1.bibx73" id="altparen.160"/>). The strongest DCM
(Fig. <xref ref-type="fig" rid="Ch1.F15"/>a) coincides with the shallowest nitracline
(Fig. <xref ref-type="fig" rid="Ch1.F15"/>d). Ekman suction leads to the upsloping of nitracline,
which increases the concentration of limiting nutrients in the euphotic zone.
The column-integrated chlorophyll is found to be maximum along the path of
the SMC (Fig. <xref ref-type="fig" rid="Ch1.F15"/>b), with magnitudes ranging from 50 to 70 <inline-formula><mml:math id="M289" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol kg<inline-formula><mml:math id="M290" 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>.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F15"><?xmltex \currentcnt{15}?><label>Figure 15</label><caption><p id="d1e5125"><bold>(a)</bold> Intensity of deep chlorophyll maxima (DCM; mg m<inline-formula><mml:math id="M291" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>), <bold>(b)</bold> depth-integrated (100 m)
chlorophyll (mg m<inline-formula><mml:math id="M292" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>), <bold>(c)</bold> depth of DCM (m), and <bold>(d)</bold> the depth of nitracline (m) for 1 July 2016
from the ecosystem model. Nitracline is defined as the depth of 2 <inline-formula><mml:math id="M293" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol kg<inline-formula><mml:math id="M294" 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> nitrate isoline.
Red contours in all the panels represent SLAs (m) in the region of the Sri Lanka Dome.</p></caption>
            <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://bg.copernicus.org/articles/16/1447/2019/bg-16-1447-2019-f15.png"/>

          </fig>

</sec>
<sec id="Ch1.S3.SS3.SSS2">
  <label>3.3.2</label><title>Mixed layer nutrient budget</title>
      <p id="d1e5199">The nutrient budget from the ecosystem model is examined to identify the
relative roles of mixed layer processes in controlling the summer chlorophyll
distribution in the southern BoB. In the TOPAZ ecosystem model, the growth of
phytoplankton is determined by a limiting nutrient in a multinutrient
environment. Here, inorganic nitrate (<inline-formula><mml:math id="M295" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) concentration is used to
represent the nutrient budget (Fig. <xref ref-type="fig" rid="Ch1.F16"/>), since the dominant role
of nitrate in controlling the biological productivity of the BoB is well
known (<xref ref-type="bibr" rid="bib1.bibx35" id="altparen.161"/>). The observed nitrate distribution has been used
in previous studies to explain phytoplankton distribution in the BoB
(<xref ref-type="bibr" rid="bib1.bibx36 bib1.bibx37 bib1.bibx38" id="altparen.162"/>). The present simulation also
shows that during the pre-monsoon period, productivity in the southern bay is
largely limited by nitrate when mixed layer dynamics were less favourable for
the vertical supply of nutrients to the surface sunlit layers. Hence <inline-formula><mml:math id="M296" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>
was preferred over <inline-formula><mml:math id="M297" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PO</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and Fe for explaining the nutrient distribution. In
addition, the chlorophyll concentration in TOPAZ is proportional to the
nitrogen in phytoplankton (<xref ref-type="bibr" rid="bib1.bibx17" id="altparen.163"/>). Total chlorophyll is
calculated as

                  <disp-formula id="Ch1.E6" content-type="numbered"><label>6</label><mml:math id="M298" display="block"><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><?xmltex \hack{\hbox\bgroup\fontsize{8.8}{8.8}\selectfont$\displaystyle}?><mml:mi mathvariant="normal">Chl</mml:mi><mml:mo>=</mml:mo><mml:mrow class="chem"><mml:mi mathvariant="normal">C</mml:mi><mml:mo>:</mml:mo><mml:mi mathvariant="normal">N</mml:mi></mml:mrow><mml:mo>⋅</mml:mo><mml:mn mathvariant="normal">12</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">6</mml:mn></mml:msup><mml:mo>⋅</mml:mo><mml:mo>(</mml:mo><mml:msup><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">Sm</mml:mi></mml:msup><mml:mo>⋅</mml:mo><mml:msup><mml:mi>N</mml:mi><mml:mi mathvariant="normal">Sm</mml:mi></mml:msup><mml:mo>+</mml:mo><mml:msup><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">Lg</mml:mi></mml:msup><mml:mo>⋅</mml:mo><mml:msup><mml:mi>N</mml:mi><mml:mi mathvariant="normal">Lg</mml:mi></mml:msup><mml:mo>+</mml:mo><mml:msup><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">Di</mml:mi></mml:msup><mml:mo>⋅</mml:mo><mml:msup><mml:mi>N</mml:mi><mml:mi mathvariant="normal">Di</mml:mi></mml:msup><mml:mo>)</mml:mo><mml:mo>,</mml:mo><?xmltex \hack{$\egroup}?></mml:mrow></mml:math></disp-formula>

            where <inline-formula><mml:math id="M299" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">C</mml:mi><mml:mo>:</mml:mo><mml:mi mathvariant="normal">N</mml:mi></mml:mrow></mml:math></inline-formula> is the carbon-to-nitrogen ratio, <inline-formula><mml:math id="M300" display="inline"><mml:mrow><mml:mn mathvariant="normal">12</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>
is the molecular mass of carbon in <inline-formula><mml:math id="M301" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g mol<inline-formula><mml:math id="M302" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, <inline-formula><mml:math id="M303" display="inline"><mml:mi mathvariant="italic">θ</mml:mi></mml:math></inline-formula> is the
chlorophyll-to-carbon ratio (<inline-formula><mml:math id="M304" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">Chl</mml:mi><mml:mo>:</mml:mo><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula>) and N is the phytoplankton
nitrogen concentration in mol kg<inline-formula><mml:math id="M305" 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>.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F16"><?xmltex \currentcnt{16}?><label>Figure 16</label><caption><p id="d1e5409">Model nitrate budget averaged over the mixed layer. Nitrate tendency (first column),
vertical processes (second column), horizontal advection (third column) and the biological
processes (fourth column) in <inline-formula><mml:math id="M306" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol day<inline-formula><mml:math id="M307" 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> are shown for 7-day averages starting from
24 June to 21 July 2016, marked on the left side of the corresponding panels. Vertical processes
include vertical advection and mixing, and biological processes include source (nitrification)
and sink (denitrification and uptake by the phytoplankton) terms for the model nitrate. Surface
current (m s<inline-formula><mml:math id="M308" 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>) vectors are overlayed.</p></caption>
            <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://bg.copernicus.org/articles/16/1447/2019/bg-16-1447-2019-f16.png"/>

          </fig>

      <?pagebreak page1462?><p id="d1e5450">Physical processes controlling the model nutrient distribution include
horizontal advection and vertical processes (including vertical advection and
mixing). The biological processes include a source term represented by
nitrification and sink terms comprising denitrification and uptake by the
phytoplankton.</p>
      <p id="d1e5454">The time rate of change of nitrate is given by

                  <disp-formula id="Ch1.E7" content-type="numbered"><label>7</label><mml:math id="M309" display="block"><mml:mrow><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mo>∂</mml:mo><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mi mathvariant="normal">∇</mml:mi><mml:mo>⋅</mml:mo><mml:mi mathvariant="bold-italic">u</mml:mi><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow><mml:mo>+</mml:mo><mml:mi mathvariant="normal">∇</mml:mi><mml:mi>K</mml:mi><mml:mi mathvariant="normal">∇</mml:mi><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow><mml:mo>+</mml:mo><mml:msub><mml:mi>S</mml:mi><mml:mrow><mml:msub><mml:mrow class="chem"><mml:mi mathvariant="normal">NO</mml:mi></mml:mrow><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:msub><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>

            where <inline-formula><mml:math id="M310" display="inline"><mml:mi mathvariant="bold-italic">u</mml:mi></mml:math></inline-formula> is the velocity vector from the ocean general circulation model (OGCM), <inline-formula><mml:math id="M311" display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula> is the
vertical diffusivity and <inline-formula><mml:math id="M312" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mrow><mml:msub><mml:mrow class="chem"><mml:mi mathvariant="normal">NO</mml:mi></mml:mrow><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula> represents the biological processes.</p>
      <p id="d1e5554">Weekly averages of the model nitrate budget terms averaged over the mixed
layer from 24 June to 21 July, comprising the BoBBLE observational period, are
shown in Fig. <xref ref-type="fig" rid="Ch1.F16"/>. The model MLD is defined as the depth at which
the buoyancy difference with respect to the surface is equal to 0.0003 m s<inline-formula><mml:math id="M313" 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>. Before the onset of the summer monsoon, the upper ocean of the
southern BoB maintained oligotrophic conditions, where nutrient levels were
weak, inhibiting the growth of phytoplankton (not shown). Mixed layer
dynamics associated with the monsoonal forcings play a dominant role in
controlling the nutrient distribution of the southern BoB. As the monsoon
intensifies, the monsoon current becomes stronger and the cyclonic
circulation off the eastern coast of Sri Lanka leads to the development of the
Sri Lanka Dome (Fig. <xref ref-type="fig" rid="Ch1.F12"/>).</p>
      <p id="d1e5573">The last week of June, coinciding with the beginning phase of the BoBBLE
observational period, was characterized by a developing phase of the SLD,
with strong open-ocean upwelling. Nitrate concentrations in the mixed layer
increased (Fig. <xref ref-type="fig" rid="Ch1.F16"/>a) as a result of enhanced vertical transport
(Fig. <xref ref-type="fig" rid="Ch1.F16"/>b). At the same time, these nutrients were transported
away from the region of upwelling and redistributed to the nearby regions
through horizontal advection (Fig. <xref ref-type="fig" rid="Ch1.F16"/>c). Along the southern tip
of India and Sri Lanka, coastal upwelling driven by alongshore winds leads to
the intensification of nitrate levels, as evident from the vertical processes
(Fig. <xref ref-type="fig" rid="Ch1.F16"/>b). Offshore transport of upwelled nutrients occurs at
significant rates, enhancing the nitrate concentrations in regions away from
the coast (Fig. <xref ref-type="fig" rid="Ch1.F16"/>c). Within the mixed layer, uptake by the
phytoplankton is higher than nitrification so that the sink term exceeds the
source term. Hence, biological processes contribute to a reduction in total
nitrate, mainly in the coastal ocean and the region of SLD, where
phytoplankton concentrations are high (Fig. <xref ref-type="fig" rid="Ch1.F16"/>d).</p>
      <p id="d1e5589">During the first week of July, nitrate levels in the mixed layer reduced
slightly compared to the previous week; this period was characterized by the
gradual weakening of the SLD and a reduction in the vertical supply of
nutrients (Fig. <xref ref-type="fig" rid="Ch1.F16"/>f), leading to a decline in nitrate levels.
Consequently, the associated horizontal transport (Fig. <xref ref-type="fig" rid="Ch1.F16"/>g) to
the nearby regions also reduced. The nitrate uptake reduced due to the
reduction in phytoplankton concentration, which explains the weaker negative
tendencies due to biological processes in the region of the dome
(Fig. <xref ref-type="fig" rid="Ch1.F16"/>h). Upwelling along the coasts of India and Sri Lanka
(Fig. <xref ref-type="fig" rid="Ch1.F16"/>f) and the offshore advection effects
(Fig. <xref ref-type="fig" rid="Ch1.F16"/>g) were still prominent during this period.</p>
      <p id="d1e5602">During the second week of July, nitrate levels in the mixed layer were
generally higher compared to the previous week, especially in the region of
the SMC (Fig. <xref ref-type="fig" rid="Ch1.F16"/>i). The SLD slightly regained its strength until
10 July and weakened immediately. The related vertical transport of
nutrients intensified (Fig. <xref ref-type="fig" rid="Ch1.F16"/>j), and the upwelled nutrients were
distributed to the nearby regions (Fig. <xref ref-type="fig" rid="Ch1.F16"/>k). Though the
upwelling was not as strong as that in the preceding peak phase (during the
last week of June), vertical supply of nitrate occurred at higher rates
(Fig. <xref ref-type="fig" rid="Ch1.F16"/>b and j). As a result of strong upwelling in the
preceding peak phase of the SLD, the nitrate isolines became shallower (not
shown). This preconditioning probably favoured enhanced vertical supply of
nitrate to the surface layers during the second peak phase, though the
strength of upwelling was weaker.</p>
      <p id="d1e5613">The simulated eastward velocities associated with the summer monsoon current
off the southern coast of India and Sri Lanka strengthened during the second
week of July in relation to increasing wind speeds. Along the path of the SMC, a
clear patch of increased nitrate levels was evident (Fig.<?pagebreak page1463?> <xref ref-type="fig" rid="Ch1.F16"/>i),
which extended from the southern tip of India up to about 85<inline-formula><mml:math id="M314" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E.
This indicates horizontal advection of coastally upwelled nutrients from the
southern coasts of India and Sri Lanka (Fig. <xref ref-type="fig" rid="Ch1.F16"/>k) into the
southern BoB by the SMC. Lateral supply of nutrients by the SMC supports
phytoplankton accumulation along its path. Increased uptake of nitrate by the
phytoplankton further enhanced the negative contribution of biological
processes (Fig. <xref ref-type="fig" rid="Ch1.F16"/>l).</p>
      <p id="d1e5632">During the third week of July, nitrate levels along the path of the SMC
decreased (Fig. <xref ref-type="fig" rid="Ch1.F16"/>m). Following a reduction in wind speed, the
monsoon current off the southern coast of India weakened, and so did the
horizontal transport (Fig. <xref ref-type="fig" rid="Ch1.F16"/>o). Vertical supply of nutrients
was maintained in the region of dome (Fig. <xref ref-type="fig" rid="Ch1.F16"/>n). Contribution by
biological processes decreased as the nitrate uptake weakened following a
reduction in phytoplankton concentration (Fig. <xref ref-type="fig" rid="Ch1.F16"/>p). In summary,
the above analyses show that the distribution of nutrients and the biological
productivity in the southern BoB is largely dependent on the mixed layer
dynamics associated with the summer monsoon, and the relative roles of
vertical and horizontal processes vary spatially following the circulation
features.</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <label>4</label><title>Summary and conclusions</title>
      <p id="d1e5653">The BoB plays a major role in controlling the monsoon variability through its
unique upper-ocean properties (<xref ref-type="bibr" rid="bib1.bibx22" id="altparen.164"/>; <xref ref-type="bibr" rid="bib1.bibx89" id="altparen.165"/>;
<xref ref-type="bibr" rid="bib1.bibx79" id="altparen.166"/>). A deeper understanding of the biophysical feedbacks
in the BoB is of primary importance, since oceanic productivity plays a major
role in modifying the air–sea heat and gas exchanges (<xref ref-type="bibr" rid="bib1.bibx2" id="altparen.167"/>;
<xref ref-type="bibr" rid="bib1.bibx12" id="altparen.168"/>). Despite its climatic significance, estimates of
chlorophyll distribution in the BoB are limited, owing to the restrictions in
spatio-temporal coverage of in situ and satellite observations. In the
presence of salinity stratification, which imparts strong nutrient limitation
in the surface layers, high chlorophyll concentrations are mostly confined to
the subsurface layers of the BoB. Hence, satellite retrieval algorithms based
on ocean colour in the surface layers would lead to an underestimation of
actual chlorophyll content in the water column. These limitations in data
sampling imply the need for high-resolution and sustained measurements of the
vertical distribution of chlorophyll in the BoB.</p>
      <p id="d1e5671">In this paper, we document the observed vertical distribution of chlorophyll
in the southern BoB during the BoBBLE field programme conducted during the
summer monsoon of 2016. High-resolution data sampling using gliders,
accompanied by shipboard CTD, record high chlorophyll concentrations in the
southern BoB, with persistent DCM at intermediate depths. Hydrographic
features of the region suggest that the observed spatio-temporal distribution
of chlorophyll is strongly linked to the competing effects of monsoonal wind
and freshwater forcings, which control the light and nutrient limited growth
rate of the phytoplankton. The present observations underline the previously
reported (<xref ref-type="bibr" rid="bib1.bibx97 bib1.bibx91" id="altparen.169"/>;
<xref ref-type="bibr" rid="bib1.bibx33" id="altparen.170"/>) role of the SLD and the SMC as the major physical
drivers determining the biological productivity of the southern BoB. The
region of the SLD is characterized by enhanced chlorophyll concentrations in
the presence of a shallow thermocline. A distinct band of chlorophyll is
observed all along the path of the SMC, highlighting the role of lateral
advection of nutrient-rich waters from the Arabian Sea in enriching the
oligotrophic upper ocean of the BoB. In addition to the seasonal forcings,
intermittent mixing events induced by local wind forcing trigger surface
chlorophyll blooms outside the dome. A coupled physical–ecosystem model
simulates the aforementioned distribution of chlorophyll satisfactorily, with
prominent chlorophyll blooms in the regions of SLD and SMC. Model nutrient
budget analyses demonstrate the role of monsoon dynamics in controlling the
spatial and temporal distribution of biological productivity in the southern
BoB. Open-ocean Ekman suction of nutrients is identified as favouring the
intensification of chlorophyll in the region of the SLD. On the other hand, a
reduction in chlorophyll levels during the decaying phase of the SLD can be
associated with the remote forcing by the westward propagating downwelling
Rossby wave signals. Advection by the SMC supplies coastally upwelled
nutrients along the southern coasts of India and Sri Lanka to the southern
BoB, favouring enhanced bloom concentrations. High chlorophyll concentrations
observed at the subsurface indicate the contribution of DCM in the
column-integrated productivity of the BoB, where the surface waters are
generally oligotrophic. Intense DCM exist in the region of the SLD and the
SMC, whereas outside the dome, subsurface chlorophyll is weaker. Spatial
variability of DCM intensity indicates that the dynamic uplifting of the
thermocline (nutricline) is more efficient in enriching the euphotic zone
with nutrients compared with wind-induced mixing. Upwelling leads to sharp
and intense DCM, whereas mixing results in more diffuse and weaker DCM. The
region of the subsurface intrusion of the SMC exhibits the strongest DCM
among all the glider locations, suggesting the contribution of Arabian Sea
water to the biological budget of the BoB.</p>
      <p id="d1e5680">Inhibition of surface blooms induced by the freshwater effect was often
observed in the southern BoB during the study period, similar to that in the
northern BoB. The intermittent occurrence of surface freshening events
favours restratification of the upper ocean and formation of barrier layers.
Stratification curtails the wind-induced vertical transport of nutrients and
subsurface chlorophyll, leading to the decay of surface blooms. Meanwhile,
freshening leads to an intensification of DCM, favoured by enhanced light
penetration into deeper layers as the self-shading effect weakens in the
absence of surface chlorophyll blooms. In addition, shoaling of the mixed
layer induced by salinity stratification impedes the vertical redistribution
of subsurface chlorophyll, thereby intensifying the DCM.</p>
      <?pagebreak page1464?><p id="d1e5683">The shape of chlorophyll profiles in different dynamical regimes indicates
that the processes determining the vertical distribution of chlorophyll are
intricate, which needs to be explored in detail using comprehensive datasets.
The observed contrast in the vertical profiles of chlorophyll is largely
dependent on the spatial extent and strength of the SMC and the SLD, which
are attributed to the combined effect of local and remote forcings. Circulation
and sea level anomalies reveal that the location and intensity of the SMC and SLD
varied during the observational period. Using geostrophic velocities obtained
from satellite data, <xref ref-type="bibr" rid="bib1.bibx105" id="text.171"/> showed that the SMC moved westward
during the BoBBLE observational period. They related the westward shift of
the SMC to the westward propagation of downwelling Rossby waves from the eastern
boundary of the BoB. The strength and spatial extent of the SLD also varied
accordingly. The decay period of the SLD coincided with the arrival of
westward propagating high sea level anomalies associated with the Rossby
wave propagation.</p>
      <p id="d1e5690">Chlorophyll distribution in the ocean is determined by both physical and
biological processes. The intensity and depth distribution of DCM depends on
a wide range of factors, including the hydrography of the upper ocean,
biochemical nutrient cycling and the physiological adaptations of
different phytoplankton communities. The deep chlorophyll maxima do not
necessarily represent biomass maxima, since the chlorophyll-to-biomass ratio
varies with different phytoplankton species as well as with nutrient and
light availability at depths (<xref ref-type="bibr" rid="bib1.bibx24 bib1.bibx25" id="altparen.172"/>;
<xref ref-type="bibr" rid="bib1.bibx102" id="altparen.173"/>; <xref ref-type="bibr" rid="bib1.bibx49" id="altparen.174"/>). Other loss terms, including grazing,
mortality and sinking rates, have to be taken into account for a complete
description of the evolution of chlorophyll blooms. However, the lack of
observational evidence on the loss terms restricts a detailed investigation on
their relative importance with respect to the physical controls during
different stages of the chlorophyll bloom evolution.</p>
      <p id="d1e5702">Bio-physical interactions in the ocean have significant impacts on climate
variability through the control on upper-ocean dynamics (<xref ref-type="bibr" rid="bib1.bibx60" id="altparen.175"/>;
<xref ref-type="bibr" rid="bib1.bibx75" id="altparen.176"/>; <xref ref-type="bibr" rid="bib1.bibx63" id="altparen.177"/>;
<xref ref-type="bibr" rid="bib1.bibx84" id="altparen.178"/>; <xref ref-type="bibr" rid="bib1.bibx54" id="altparen.179"/>). Understanding different
aspects of oceanic productivity helps to determine the potential feedbacks on
the climate system. Proper estimation of the vertical distribution of marine
phytoplankton and the total chlorophyll content in the upper ocean will help
to understand the strength of carbon cycling in the ocean. Apart from the
climatic impacts, the global marine fishery production is highly dependent
on the seasonal distribution of phytoplankton in the major fishing zones.
Advanced data sampling using gliders, designed to operate under adverse
oceanic conditions, can make significant contributions to the understanding of
biogeochemical cycling of the ocean and its climatic impacts, implying the
need for expanding such observations for future research. Realistic
simulation of monsoonal biophysical interactions underlines the potential
role of ecosystem models in exploring the vertical distribution of oceanic
productivity, which is beyond the scope of satellites.</p>
</sec>

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

      <p id="d1e5725">Glider data were processed using the UEA glider toolbox
(<uri>http://www.byqueste.com/toolbox.html</uri>, last access: 15 October 2017)
and are available from AJM on reasonable request. All other datasets are
publicly available from the following sources: MERRA reanalysis product
provided by the Global Modeling and Assimilation Office (GMAO) and the
Goddard Earth Sciences Data and Information Services Center (GES DISC)
(<uri>http://disc.sci.gsfc.nasa.gov/daac-bin/DataHoldings.pl</uri>, last access:
15 November 2017), ASCAT winds from IFREMER
(<uri>http://www.ifremer.fr/cersat/en/data/data.htm</uri>, last access: 7 November 2017), SLAs from AVISO (<uri>http://www.aviso.altimetry.fr</uri>, last access:
13 June 2018), chlorophyll from ESA OC-CCI v3.1
(<uri>http://www.esa-oceancolour-cci.org/</uri>, last access: 18 May 2018), SST and SSS
from JPL PODAAC (<uri>https://podaac.jpl.nasa.gov</uri>, last access: 22 December 2017),
precipitation from TRMM (<uri>http://daac.gsfc.nasa.gov/precipitation</uri>, last
access: 12 November 2017), and river discharge from SAGE
(<uri>http://www.sage.wisc.edu/riverdata/</uri>, last access: 12 July 2010).</p>
  </notes><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e5756">VT and PNV performed data analysis and paper preparation.
BYQ, BGMW and AJM performed the glider data correction and quality control.
VT carried out the ecosystem model simulation. All the authors contributed in
data interpretation.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e5762">The authors declare that they have no conflict of interest.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e5768">BoBBLE is a joint MoES, India–NERC, UK programme (MM/NERC-MOES-02/2014/002). The BoBBLE field experiment
on board RV <italic>Sindhu Sadhana</italic> was funded by Ministry of Earth Sciences of the government of India, under the Monsoon
Mission programme administered by Indian Institute of Tropical Meteorology, Pune. We are thankful to the
captain, technicians and crew of RV <italic>Sindhu Sadhana</italic> for their support and co-operation. Benjamin G. M. Webber was supported
by the NERC BoBBLE project (NE/L013827/1). We thank Jenson V. George for the helpful discussions.
Thanks to GFDL for providing the source
code of the coupled physical–ecosystem model (MOM4P1-TOPAZ).
Computations were carried out at the Super Computer Education and Research Centre, Indian Institute of Science,
Bangalore. Ferret has been used for data analysis and graphics.</p></ack><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e5779">This paper was edited by Stefano Ciavatta and reviewed by Abhisek Chatterjee and Emmanuel Boss.</p>
  </notes><ref-list>
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    <!--<article-title-html>Vertical distribution of chlorophyll in dynamically distinct regions of the southern Bay of Bengal</article-title-html>
<abstract-html><p>The Bay of Bengal (BoB) generally exhibits surface oligotrophy due to
nutrient limitation induced by strong salinity stratification. Nevertheless,
there are hotspots of high chlorophyll in the BoB where the monsoonal
forcings are strong enough to break the stratification; one such region is
the southern BoB, east of Sri Lanka. A recent field programme conducted during
the summer monsoon of 2016, as a part of the Bay of Bengal Boundary Layer
Experiment (BoBBLE), provides a unique high-resolution dataset of the
vertical distribution of chlorophyll in the southern BoB using ocean gliders
along with shipboard conductivity–temperature–depth (CTD) measurements. Observations were carried out for a
duration of 12–20 days, covering the dynamically active regions of the Sri Lanka Dome (SLD) and the Southwest Monsoon Current (SMC). Mixing and
upwelling induced by the monsoonal wind forcing enhanced surface chlorophyll
concentrations (0.3–0.7&thinsp;mg&thinsp;m<sup>−3</sup>). Prominent deep chlorophyll maxima
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signifying the contribution of subsurface productivity to the biological
carbon cycling in the BoB. The shape of chlorophyll profiles varied in
different dynamical regimes; upwelling was associated with sharp and intense
DCM, whereas mixing resulted in a diffuse and weaker DCM. Within the SLD,
open-ocean Ekman suction favoured a substantial increase in chlorophyll.
Farther east, where the thermocline was deeper, enhanced surface chlorophyll
was associated with intermittent mixing events. Remote forcing by the
westward propagating Rossby waves influenced the upper-ocean dynamics and
chlorophyll distribution in the southern BoB. Stabilizing surface freshening
events and barrier-layer formation often inhibited the generation of surface
chlorophyll. The pathway of the SMC intrusion was marked by a distinct band
of chlorophyll, indicating the advective effect of biologically rich Arabian
Sea waters. The region of the monsoon current exhibited the strongest DCM as well
as the highest column-integrated chlorophyll. Observations suggest that the
persistence of DCM in the southern BoB is promoted by surface oligotrophy and
shallow mixed layers. Results from a coupled physical–ecosystem model
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monsoon in controlling the nutrient distribution and biological productivity
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