Journal of Marine Systems 136 (2014) 22–30
Contents lists available at ScienceDirect
Journal of Marine Systems
journal homepage: www.elsevier.com/locate/jmarsys
Chlorophyll enhancement in the central region of the Bay of Biscay as a
result of internal tidal wave interaction
S. Muacho a,b,1, J.C.B. da Silva c,d, V. Brotas b,e, P.B. Oliveira a, J.M. Magalhaes c,d,⁎
a
IPMA, Instituto Português do Mar e da Atmosfera, Rua C do Aeroporto, 1749-077 Lisbon, Portugal
Centre of Oceanography, Faculty of Science, University of Lisbon, Campo Grande, 1749-016, Lisbon, Portugal
CIMAR/CIIMAR — Interdisciplinary Centre of Marine and Environmental Research, Porto, Portugal
d
Department of Geosciences, Environment and Spatial Planning, University of Porto, Porto, Portugal
e
Plymouth Marine Laboratory, Prospect Place, PL1 3DH Plymouth, UK
b
c
a r t i c l e
i n f o
Article history:
Received 17 March 2014
Received in revised form 25 March 2014
Accepted 30 March 2014
Available online 5 April 2014
Keywords:
Internal waves
SAR
MODIS
Chlorophyll concentrations
Bay of Biscay
a b s t r a c t
A multi-sensor satellite approach based on ocean colour, sunglint and Synthetic Aperture Radar imagery is used
to study the impact of interacting internal tidal (IT) waves on near-surface chlorophyll-a distribution, in the
central Bay of Biscay. Satellite imagery was initially used to characterize the internal solitary wave (ISW) field
in the study area, where the “local generation mechanism” was found to be associated with two distinct regions
of enhanced barotropic tidal forcing. IT beams formed at the French shelf-break, and generated from critical
bathymetry in the vicinities of one of these regions, were found to be consistent with “locally generated” ISWs.
Representative case studies illustrate the existence of two different axes of IT propagation originating from the
French shelf-break, which intersect close to 46°N, −7°E, where strong IT interaction has been previously identified. Evidence of constructive interference between large IT waves is then presented and shown to be consistent
with enhanced levels of chlorophyll-a concentration detected by means of ocean colour satellite sensors.
Finally, the results obtained from satellite climatological mean chlorophyll-a concentration from late summer
(i.e. September, when ITs and ISWs can meet ideal propagation conditions) suggest that elevated IT activity
plays a significant role in phytoplankton vertical distribution, and therefore influences the late summer ecology
in the central Bay of Biscay.
© 2014 Elsevier B.V. All rights reserved.
1. Introduction
Tidal flow over irregular bottom topography forces vertical motions
at the tidal frequencies, and generates Internal Waves (IWs) with a tidal
period, which under stratified conditions will then propagate along the
thermocline as interfacial waves and are often referred to as Internal
Tides (ITs). While propagating away from their generation site, ITs can
steepen and generate IWs of much shorter period that are usually
termed Internal Solitary Waves (ISWs) or “trains of solitons”. These
shorter IWs, whose periods can reach several tens of minutes, are
termed ‘solitary’ since they tend to occur in individual packets (usually
trapped in the troughs of the ITs), and have often been identified with
the soliton solutions of nonlinear wave theory.
Large ITs and ISWs have already been extensively studied in the Bay
of Biscay (see Fig. 1 for location) and are amongst the most energetic
anywhere in the world (see e.g. Baines, 1982). In this region, the
⁎ Corresponding author at: Department of Geosciences, Environment and Spatial
Planning, University of Porto, Porto, Portugal.
E-mail address: jmagalhaes@fc.ul.pt (J.M. Magalhaes).
1
Present afilliation: IPMA — Instituto Português do Mar e da Atmosfera\CCMAR, Rua C
do Aeroporto, 1749-077 Lisbon, Portugal.
internal tidal energy generated at the shelf-break has been documented
to radiate away horizontally in the form of interfacial ITs, and to form
internal tidal beams that propagate into the deep stratified ocean
below. Therefore, large interfacial ITs will form in the thermocline directly above the shelf-break, and evolve (through nonlinear processes)
to higher-frequency ISWs packets that propagate both offshore and
inshore (see e.g. New and da Silva, 2002). However, the IT energy propagating downward into the deep ocean may also originate a second generation mechanism known as “local generation” (Akylas et al., 2007;
da Silva et al., 2009; Gerkema, 2001; Grisouard et al., 2011; Mercier
et al., 2012; New and da Silva, 2002; New and Pingree, 1992). In this
case, a beam (or ray) of IT energy is generated at the shelf-break
where the bottom slopes match the characteristic slopes of the IT
beams (i.e. critical slopes), and then propagates into the deep ocean.
In the Bay of Biscay, it is well known that these rays reflect from the seafloor (Pingree and New, 1989, 1991) and interact with the thermocline
from below, causing large IT oscillations there, and “locally” generating
ISWs some 150 km offshore from the shelf-break where the beam is
initially generated. This process is also known as “beam scattering”
into the pycnocline.
Previous studies using remote sensing data (Pingree and New, 1995)
and in situ measurements (Pingree et al., 1986) have documented the
http://dx.doi.org/10.1016/j.jmarsys.2014.03.016
0924-7963/© 2014 Elsevier B.V. All rights reserved.
© 2014. This manuscript version is made available under the Elsevier user license
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23
S. Muacho et al. / Journal of Marine Systems 136 (2014) 22–30
a
France
b
48
46
46
Bay of
-7 Biscay
06m
g12 22h
2005Au
46
47m
42
10h
g12
5Au
200
Atlantic
Ocean
4000
-12
44
00
00
20 00
10 0
20
30
00
20
Latitude (oN)
Iberian
Peninsula
-8
200
-4
Longitude (oE)
-9
-7
-5
Fig. 1. (a) Study area for the present work in relation to the western Iberian Peninsula. The contours mark isobaths in metres (200, 2000 and 4000 m). The crossed filled circle in black
marks the central location of the ‘elliptical eye’ described in the text. (b) Detailed bathymetry of the Bay of Biscay. Grey areas represent land and the isobaths for 200, 1000, 2000, and
3000 m, are shown in black contours. For reference, two black rectangles are used to frame the Envisat-ASAR images discussed in the text.
presence of ITs in the central region of the Bay of Biscay, especially
during late summer and after spring tide events. In the upper water column, the ITs appear as coherent features with wavelengths reaching
from 30 to 50 km, and produce vertical oscillations of the seasonal thermocline of up to 30 m in amplitude. During the summer, they have been
observed by Pingree et al. (1986) to travel from the northern shelfbreak of the Bay of Biscay into the deep ocean with typical propagation
speeds of around 1.0 ms−1.
Also important, is the geometry of the Bay of Biscay (when considering the region's isobaths), where the form of an elliptical “eye” was first
noted by Pingree and New (1995), centred near 46 °N and − 7 °E
(see Fig. 1). This was recognised as suggesting the presence of enhanced
and localized IT waves. They conjectured that this “elliptical eye” could
result from the intersection between ITs generated by an almost
elliptical shelf-break arc, which is located either north or south at
about 170–200 km from its centre. Based on in situ observations and
modelling results, Pichon et al. (2013) reinforced this idea by revealing
IT interactions consistent with the “eye's” location (around 46 °N,
− 7 °E), which involved IT beams coming from different generation
spots sited over the northern (French) shelf-break.
The existence of large ITs and their possible interaction may be
particularly relevant from a biological point of view, since their propagation induces a natural vertical motion within the water column,
focused mainly near the pycnocline, which forces water particles to
undergo upward and downward motions. This means that neutrally
buoyant phytoplankton cells, which are usually passive in relation to
these waves' time scales, can be significantly displaced vertically. It
is also important to note that, under typically stratified conditions,
levels of surface nutrients may become depleted, following the spring
bloom, and thus leaving behind a chlorophyll subsurface maximum
near the thermocline (see Harlay et al., 2010, 2011). Therefore, in the
Bay of Biscay, as well as many other locations in the North Atlantic
Ocean, a Deep Chlorophyll Maximum (DCM) often occurs in the summer. This in turn means that the presence of IT activity may displace
the top of the DCM and lift it upwards where the effective light is just
enough to produce a measurable response in ocean colour satellite
sensors (see da Silva et al., 2002; Vázquez et al., 2009).
Significant coupling between ITs and phytoplankton dynamics has
already been reported using in situ measurements (e.g., Gaxiola-
Castro et al., 2002; Sangra et al., 2001). The use of satellite SAR images
and chlorophyll-a concentration products from the Sea-viewing Wide
Field-of-view Sensor (SeaWiFS) in the central region of Bay of Biscay,
also lead da Silva et al. (2002) to document the synergetic surface
expressions of IT crests both in the SAR and in chlorophyll-a surface
images. More recently, in-situ and Moderate-resolution Imaging
Spectroradiometer (MODIS) data presented by Wang et al. (2007) and
Pan et al. (2012) showed increased levels of chlorophyll-a in two different regions of the South China Sea, which were explained as a result
of IT activity. Finally, Muacho et al. (2013) also reported the same
phenomenon in the Nazaré Canyon (west of the Iberian Peninsula),
where the role of large-amplitude ITs in increasing primary production
was verified using both in situ and satellite data together with an analytic model.
This paper aims to present a typical case study, where SAR surface
expressions of locally generated ISWs (i.e. by beam scattering into the
thermocline) can be seen propagating in two separate directions, and
thus be associated with distinct IT beams originating from the northern
shelf break of the Bay of Biscay. These ISWs are used to infer the locations of their corresponding IT troughs and crests within the central
Bay of Biscay, where ITs are already known to be amplified because of
their nonlinear interactions (see Pichon and Correard, 2006; Pichon
et al., 2013). Interestingly, the location of this interaction is also consistent with the location where Pingree and New (1995) observed their
elliptical “eye” (approximately at 46 °N, −7 °E and marked with a filled
circle in Fig. 1a). Therefore, the main aim of the paper is to assess the
impact of this region's elevated IT activity (and the interactions therein)
on surface chlorophyll-a concentrations, measured by ocean colour
remote sensors, both via daily (level 2) images and climatological data
(from 2002 to 2011).
This paper is organized as follows. A SAR analysis begins by describing the 2D surface spatial structure of the IW field in the central region
of the Bay of Biscay. A particular case study is used to highlight a region
where ITs are likely to interact. The most probable generation mechanism is identified for two different families of ISWs, one of which has
not yet been reported in the literature. We then investigate the influence of IT interactions on surface chlorophyll-a satellite data, and compare our findings with those coming from modelling results. The paper
ends with some relevant discussions and conclusions.
S. Muacho et al. / Journal of Marine Systems 136 (2014) 22–30
25 km
2. SAR analysis
a
B1
46.0
5 oT
A1
oT
165
oT
155
B2
A2
45.6
-7.0
25 km
-6.5
-6.0
Envisat-ASAR 10h47m UTC 2005Aug12
b
A1
46.0
o
165
B1
T
o
155
T
The following analysis is based on a selection of two Envisat-ASAR
images covering the central Bay of Biscay. The images were acquired
in the summer period, when stratification conditions are known to be
favourable for ISWs propagation, and a few days after the spring tides
when ISWs are more frequently observed. SAR images are able to detect
ISWs and hence reveal the location of their corresponding ITs crests and
troughs. For a detailed explanation on the ability of the SAR to reveal the
locations of ITs and ISWs refer to works done by Alpers (1985),
Thompson and Gasparovic (1986), Ermakov et al. (1998), da Silva
et al. (1998) and New and da Silva (2002).
A SAR image is presented in Fig. 2a, which is representative of the
2D horizontal structure of the ISWs in the central Bay of Biscay
(see also Fig. 1b for location). The image was acquired from the
Envisat-ASAR on August 12, 2005, at 22 h 06 m UTC, approximately
four days after spring tides. At least four well developed ISW packets
can be clearly identified as a series of dark bands on a generally grey
background. These are labelled A and B according to their different travelling directions, which according to the SAR image are approximately
from 155 °T to 165 °T for the A-type waves, and 205 °T for the B-type
waves (where °T means propagation directions measured from the
true North).
Note that, propagation directions for ISWs can be easily inferred
from SAR imagery since the rank-ordered amplitudes within a wave is
a consequence of nonlinearity, which dictates that the largest amplitude
waves propagate faster. Therefore, the largest radar signature within a
given packet will correspond to the largest amplitude soliton. Thus,
the ISWs propagation direction (i.e. that of the corresponding IT) is set
to be perpendicular to the waves' crests, and such that largest signatures
follow ahead of the smaller waves.
Further inspection of Fig. 2a reveals that the wave packets of group A
are separated, along their apparent propagation path, by distances of
roughly 45 km. This can be translated into average propagation speeds
of 1.0 m·s−1, if a semi-diurnal period is assumed between A1 and A2.
The same order of separation distances can be found for B waves,
which correspond to propagation speeds of approximately 1.1 m·s−1
(see labels B1 and B2). Similar propagation speeds for the ITs have also
been reported by Pingree et al. (1986), for typical summer stratification
in the central Bay of Biscay. Note also that, these well-developed trains
travelling close to 46 °N, −7 °E, already contain individual waves with
along crest-lengths of up to 60 km.
The SAR image in Fig. 2b is very similar to Fig. 2a and was acquired
farther south by the Envisat-ASAR, still on the same day but at 10 h 47
m UTC (for clarity, both images are overlaid in Fig. 1b). This means
that the time difference between them corresponds to approximately
a semi-diurnal tidal period, and thus the spatial structure of the ISWs
on either image would remain fairly the same if a semi-diurnal tidal
cycle were to be added or subtracted from either of the image acquisitions times. This is important when assuming that the waves shown
in Fig. 2a could be interpreted as the predecessors of the waves shown
in Fig. 2b, even despite these being in the reversed order. Just like in
Fig. 2a, Fig. 2b also has at least four well developed ISW packets,
which were also labelled A and B according to their different travelling
directions. A closer inspection of Fig. 2b reveals similar propagations
directions for both types of waves and similar propagation speeds for
A-type waves, when comparing with those inferred from Fig. 2a.
It should be noted that, these two propagation axes (i.e. groups A
and B) as well as their associated IT waves, converge together in the region previously described by Pingree and New (1995) as the “elliptical
eye”, which is also in good agreement with the recent modelling results
presented by Pichon et al. (2013). The SAR images thus confirm that
there is a region (near 46 °N, − 7 °E) where the convergence of
two ITs occurs, and where we expect the IT wave crests and troughs
to interfere constructively (see Fig. 2a and b), thus resulting in enhanced
vertical displacements.
Envisat-ASAR 22h06m UTC 2005Aug12
20
24
A2
A3
45.0
-7.5
-7.0
-6.5
Fig. 2. (a) Subset of an Envisat-ASAR image dated 12 August 2005 (acquired at 22 h 06 m
UTC), showing ranked-ordered ISW packets propagating in the central Bay of Biscay. The
ISW packets are labelled A and B according to their propagation directions and marked
chronologically (i.e. indices 1 and 2 render a generation timeline from the most recent
to the eldest). (b) Same as part (a) but for the Envisat-ASAR image acquired earlier the
same day at 10 h 47 m UTC. See Fig. 1 for locations.
However, before investigating possible effects of this IT superposition on surface chlorophyll-a concentrations, the authors first recall
that the ISWs propagating towards the southwest (i.e. about 205 °T)
agree well with the directions of propagation reported in New and da
Silva (2002, see e.g. their Fig. 7). In fact, previous studies have already
25
S. Muacho et al. / Journal of Marine Systems 136 (2014) 22–30
F (m2s-2)
G1
0.4
205 o
T
T
ð1Þ
Max. depth-integrated body force F over
a complete tidal cycle (m2s-2)
48
o
2
G2
0.3
2005Aug12
46
Latitude (oN)
0.2
0.1
00
00
20 00
10 0
20
30
a
b
G1
1000
o
5
16
σ −f
N2 −σ 2
Longitude (oE)
-7
165
2
tanðθÞ ¼
!1=2
-9
oT
155
reported the local generation of ISWs in the central Bay of Biscay, and
revealed several hotspot locations (i.e. generation sites) such as the
northern continental shelf break (see e.g., New and da Silva, 2002)
and the Ortegal Promontory in the southern Bay of Biscay (Azevedo
et al., 2006; da Silva et al., 2007). Nevertheless, the origin of the other
set of wave packets (labelled A in Fig. 2a), seems to remain undocumented in the literature until now.
To investigate the generation mechanism for A-type waves, we now
turn to the analysis combining IT ray tracing techniques and the
barotropic forcing term presented in Baines (1982). This procedure
has been previously used (see e.g. Azevedo et al., 2006; da Silva et al.,
2007, 2009) to investigate the effectiveness of the local generation
mechanism both in the Bay of Biscay, as well as in other regions of the
world's oceans. While ray tracing diagrams provide the expected pathways of the IT beams, the Baines (1982) barotropic forcing term serves
as a proxy to identify the most likely hotspots for IT generation. On the
one hand, ray tracing diagrams are essentially assuming that the energy
in ITs (in a continuously stratified fluid) can be described by characteristic pathways, which have and angle (θ) to the horizontal according to:
T
t2
t1
!1 .
ðuh; vhÞdt:∇
h
ð2Þ
where z is the upward vertical direction, N is again the local Brunt–
Väisälä frequency, u and v are the zonal and meridional components
of the barotropic velocity, and h is the ocean depth. The body force F
can thus be analytically integrated between any two times t1 and t2 provided that u and v are known (for a detailed description of the forcing
term please see also da Silva et al., 2009, and the references therein).
In the present work, the components of the barotropic velocity vector were obtained for the same date as Fig. 2a, from the 1/12° resolution
tidal model OTIS (Oregon State University Tidal Inversion Software, version 7.2), developed by Egbert and Erofeeva (2002), using all diurnal
and semi-diurnal tidal constituents. The barotropic velocity vectors for
a complete tidal cycle were then interpolated to the Smith and
Sandwell (1997) 1 min bathymetry grid. Finally, the stratification N
(assumed spatially constant) was obtained by averaging all the available September stratifications in the Bay of Biscay (between − 9 °E
and − 5 °E and between 44 °N and 48 °N, available at http://www.
nodc.noaa.gov/OC5/WOD05/pr_wod05.html).
A subset of the maximum depth-integrated body force over a complete tidal cycle is shown in Fig. 3a, together with the positions of the
leading waves of each ISW packet observed in the SAR images in Fig. 2
(in blue for Fig. 2a and green for Fig. 2b). The authors anticipate that
the positions of these waves are consistent with the local generation
mechanism, resulting from the interaction of tidal beams with the seasonal thermocline (considered here to be at about 50 m depth). Note
that, New and da Silva (2002) have shown that a large number of
ISWs observed in the Bay of Biscay appear to be locally generated
from IT beams emanating from the shelf break between − 5.4 °E and
− 6.4 °E (i.e. near G2 in Fig. 3a), and then propagate offshore in the
southwest direction. This description agrees well with our B-type
waves, which are seen to travel bearing 205 °T. We therefore interpret
these ISWs as resulting from IT beams formed close to the position
labelled G2 (see Fig. 3a).
However, the propagation direction of the A-type waves suggests
a generation region much farther to the west than that of group B,
and likely associated with the stronger region of elevated forcing
3000
depth (m)
Z
2
F ¼ zN ðzÞ
2000
oT
155
where N is the Brunt–Väisälä frequency, σ is the tidal frequency, and f is
the Coriolis parameter. On the other hand, the forcing term (or body
force F) describes the interaction between the barotropic tides and the
steep bottom topography, and can be written as:
x (km)
200
100
0
46oN 7oW
Fig. 3. (a) Detailed bathymetry of the Bay of Biscay (as in Fig. 1b), shown together with a
subset of the maximum Baines (1982) depth-integrated body force over a complete tidal
cycle (calculated using Eq. (2)) for 12 August 2005. The leading waves for each packet in
Fig. 2a and b are also shown (in blue and green lines, respectively) with their associated
propagation directions. Two distinct maxima are labelled G1 and G2. The expected surfacing of the IT beams leaving from the critical bathymetry near G1 (see red dots) are marked
with filled black circles, which are seen close to, but still preceding the locations of the
ISWs. (b) Vertical sections showing IT beams for two representative cases where the
SAR observations are consistent with local generation. Two distinct rays can be seen emanating from critical topography (in red circles), and reaching the thermocline some
140 km further into the deep ocean (see black circle).
labelled G1. To investigate this location as a plausible generation hotspot
for A-type waves, we computed the (semidiurnal) IT ray paths emanating from critical topography surrounding G1 (see red dots in Fig. 3).
According to Fig. 3b, these rays propagate down into the deep ocean,
and reflect from the sea bottom to interact later with the thermocline
some 140 km farther south-southeast (see black dots in Fig. 3). This
analysis thus reinforces the hypothesis of local generation (i.e. ISWs
generated by beam scattering into the thermocline), since appropriate
rays taken along the A-waves' propagation directions appear close to,
but still upstream of their “earliest observed” positions (i.e., more to
the north-northwest, since propagation is south-southeast). It is interesting to note that our results indicate that the forcing near G1 is
much more widespread, when compared with G2. At the same time,
the steep shelf-break topography in the Bay of Biscay allows for critical
bathymetry to be easily found near G1. In fact, the two IT paths plotted
in Fig. 3b aim only to represent a much broader number of IT beams
leaving G1, the majority of which can be traced close to (but still behind,
i.e. to the North of) the earliest observations of A-type waves. This is
particularly relevant, since a closer inspection of the wave signatures
taken from the SAR imagery also indicates several packets coming
from this location, but having slightly different propagation directions
(see Fig. 2). At the same time, the inter-packet separations typical for
26
(mg/m3)
S. Muacho et al. / Journal of Marine Systems 136 (2014) 22–30
The sunglint image reveals high ISW activity consistent with our
previous analysis made from Fig. 2, including the two different propagation directions, one towards the southwest (B-type waves) and another
towards the south-southeast (A-type waves). Furthermore, the long
crest-lengths seen close to 46 °N, −7 °E, where the locally generated
ISWs are already fully developed, can be used to infer the locations of
their corresponding IT troughs and crests (the ISWs are phase-locked
with the troughs of the IT). This is of key importance, when comparing
the ITs locations with the ocean colour data and the pronounced regions
of enhanced chlorophyll-a concentration levels. In particular, a large
patch with an approximate circular configuration can be clearly
seen close to 46.3 °N, − 7.1 °E. This location is where ITs are likely to
intersect and where their corresponding crests (located between two
adjacent ISW packets along their propagation direction) are expected
to interact constructively. In addition, this image also shows a smaller
region of elevated chlorophyll-a concentrations, located farther north
(near 46.7 °N, − 7.0 °E), but coincident with the region where the
IT beams generated at G1 are expected to impact the thermocline
(see also Fig. 3). The authors believe this smaller patch might be a consequence of the IT re-emergence process, previously generated from the
critical slopes in region G1, which is expected to induce significantly
large amplitude oscillations in the seasonal thermocline (see e.g.
Pichon et al., 2013).
Finally, Fig. 5a presents an RGB composite from an Envisat-MERIS acquisition made on the following day (i.e. September 15, 2003) at 10 h 52
m UTC, and close to the region where A and B-type waves intersect (see
white dashed rectangle in Fig. 4 for location). The ISW field shown in
this example is very similar to the one depicted in Fig. 4 (and Fig. 2),
and 2 packets of ISWs can also be seen propagating in the central region
of the Bay of Biscay with a general southern direction. The sea surface
signatures seen in this example aim to illustrate their appearance in typical sunglint images, from which several characteristics of the IW field
can be estimated — including locations needed for this particular
study, as the ones exhibited in Fig. 4. The high frequency character of
the individual solitary waves can also be clearly distinguished in
Fig. 5a, both in the image itself, and in representative transects taken
perpendicular to the wave crests (Fig. 5b). Fig. 5b presents such an example matching the black rectangle, running along the ISW packet closer to the southern edge of the image, where the rank-ordered nature of
these waves is again clearly displayed. We also note that the MERIS acquisition was used as a typical example of sunglint ISW imagery, rather
than the level-1B image from Fig. 4, since the MODIS image is not as
clear, probably owing to less favourable sunglint geometry between
the satellite and the ISWs positions at the time of satellite overpass.
0.3
4. Comparison with model results
the semi-diurnal internal tide can only be clearly found in Fig. 2b between A1 and A2. After that (see e.g. around A3), the sea surface signatures of more than one set of waves (at least two) give the impression
of inter-packet separations approximately half of a typical M2 period,
which is again consistent with several ITs being generated from G1.
According to the analysis summarized in Fig. 3, both groups of ISWs
shown in Fig. 2 are being locally generated in the central Bay of Biscay
(near 46 °N, −7 °E) by beams of IT energy originating from the shelfbreak and consistent with elevated regions of barotropic tidal forcing.
Therefore, the geometry of G1 and G2 is in agreement with the elliptical
‘eye’ suggested by Pingree and New (1995) and further supported by
Pichon et al. (2013) and reveals the central Bay of Biscay as a converging
“point” for the interference of ITs.
3. Ocean colour observations
To investigate a possible relation between IT activity and enhanced
chlorophyll concentration levels, a careful analysis of near-surface
chlorophyll-a concentration images (based on level-2 NASA Ocean Colour products) was performed, which were acquired by the MODIS
ocean colour sensor, aboard the Aqua satellite, and covered the central
region of the Bay of Biscay (i.e. from 45 to 47 °N, and between − 8.5
and −5.5 °E). Unfortunately, the satellite data coincident with the SAR
observations presented in Fig. 2 are fully contaminated by clouds.
However, a very similar case to that presented in Fig. 2 can also be
observed in a sunglint image acquired just 3 days after spring tides, on
September 14, 2003 at 13 h UTC. The level-1B products from the
MODIS-Aqua satellite have a nominal spatial resolution of 250 m, and
can therefore be used to detect the sea surface signatures of ISWs (for
more details on the ability of MODIS images to reveal the location of
ISWs see e.g. Jackson, 2007; Jackson and Alpers, 2010). The positions
of the leading wave fronts for each ISW train observed in this particular
case are plotted in Fig. 4 (see solid black lines), together with the corresponding near-surface levels of chlorophyll-a concentrations derived
from the level-2 product (with a nominal 1.1 km spatial resolution).
Note that, in this case the image is almost cloud-free.
3000m
T
205 o
T
o
155
o
165 T
47
A
B
A
tra
ns
ec
t
46
B
O
Latitude ( N)
0.2
MODIS-Aqua 2003Sep14 13h UTC
chlorophyll (mg/m3)
−8
−7
Longitude ( E)
O
Fig. 4. Chlorophyll-a concentrations (in mg·m−3) based on a MODIS-Aqua image dated 14
September 2003 (acquired at 13 h UTC), overlaid with the positions of the leading waves
of every ISW train observed in the corresponding level-1B product (see black lines), which
were labelled A and B according to their approximate directions of propagation
(also shown in dashed black arrows). The white dashed rectangle depicts the approximate
location of Fig. 5a, while the dashed black line corresponds to the transect data shown in
Fig. 6b. The 3000 m depth contour is also shown for reference.
Optical remote sensing has an advantage over microwave sensors,
which is the capability to observe in depth, for at least several tens
of metres down in the ocean, depending on the water case (for more
details see Smith, 1981).
Using the same methodology as da Silva et al. (2002), as well as
a similar parameterization for the amplitude of the ITs and for the
chlorophyll vertical profiles, we now seek to understand how the chlorophyll vertical displacements can effectively explain the remotely
sensed ocean colour observations from September 14, 2003. Note that,
the main reason for choosing this particular event is because the corresponding MODIS-Aqua image is completely cloud-free (other examples
can be found in the NASA Ocean Colour archive).
According to Fig. 6a, a two layer model is used to assume that a
DCM exists between h1 and h2 (with h2 deeper than h1), where the
chlorophyll concentration is uniform and equal to cb + c0, while elsewhere the concentration is equal to the background value cb. We then
consider the propagation of a sinusoidal (tidal) wave of amplitude a
(with a b h1), which travels in the x direction, and modulates the
DCM layer by simply moving it upwards and downwards, such that
27
S. Muacho et al. / Journal of Marine Systems 136 (2014) 22–30
a) Envisat-MERIS 2003Sep15 10h52m UTC
b) radiance_7 in mW/(m2.sr.nm)
9.6
9.4
North
10
20 pixels
South
Fig. 5. (a) RBG composite from an Envisat-MERIS image dated 15 September 2003 (day after the image in Fig. 4) and acquired at 10 h 52 m UTC, showing representative sea surface
signatures of high-frequency ISWs propagating in the central Bay of Biscay. (b) Averaged radiance modulations (corresponding to band 7 centred at 664.57 nm), taken from the black
rectangle and showing rank-ordered amplitudes for the leading packet in Fig. 5a. The distance scale is defined in pixels, relative to the northern end of the profile.
the depth distribution of the chlorophyll concentration may be written
as:
8
2π
>
>
x−ωt
cb
for zbh1 þ a cos
>
>
>
>
λ
<
2π
2π
x−ωt ≤z≤h2 þ a cos
x−ωt
cðzÞ ¼ cb þ c0 for h1 þ a cos
>
λ
>
λ
>
>
2π
>
>
: cb
for z Nh 2 þ a cos
x−ωt
λ
ð3Þ
where z is directed downwards (contrary to Eq. (2)), 2п/λ is the wavenumber of the tidal wave (λ being the wavelength), and ω its frequency.
To be able to compare the model's results with those obtained in the
previous section, it is also important to note that the chlorophyll levels
measured by the satellite (csat) can be expressed as (Smith, 1981):
csat ðzÞ ¼
Z
0
z90
Z
cðzÞg ðzÞdz=
z90
g ðzÞdz
ð4Þ
0
where the integrand term g(z) = exp(−2Kz), and z90 is defined as the
depth above which 90% of diffusely reflected irradiance originates. Note
that, z90 is also considered as the depth to which the sensor actually
Cb
Cb
+
Co
Cb
Cb
+
Co
90
We used typical values for the Bay of Biscay in this model, which
means that: the mean thermocline depth was set to 50 m, and the IT
amplitude a was defined to be as 20 m, with a wavelength of 50 km (derived from SAR images, see Fig. 2). In addition, we also consider a DCM
with a 30 m thickness, centred at the mean depth of the thermocline,
and with chlorophyll levels enhanced by an amount of 0.3 mg.m− 3
(i.e. c0) over the background value. In turn, the chlorophyll background
value (0.2 mg.m−3) was derived from the satellite image in the area
surrounding the chlorophyll patches, but still well outside them, in
order not to be influenced by the presence of IT activity. Finally, K was
defined as 0.05 m−1, which implies that z90 = 20 m.
The parameters chosen above allow the modelled chlorophyll
(i.e. csat) distribution to be compared with the observed levels of chlorophyll along the transect defined by a dashed–dotted black line in
Fig. 4 (i.e. concerning B-type waves). Note also, that the locations
of the two ISW packets (centred at 45.5 °N, − 7.8 °E and at 46.0 °N,
− 7.3 °E) were used to determine the positions of the IT troughs. In
b
chl concentration (mg.m-3)
0.25
h2+cos(2πx/λ-ωt)
Z
h1+cos(2πx/λ-ωt)
t
“sees”, and can be given as the inverse of K, which is the diffuse
attenuation coefficient for downwelling irradiance (see Kirk, 1996).
Therefore, when z90 bh1 þ a cos 2π
λ x‐ωt it is clear that c sat = c b .
2π
However, when h1 þ a cos 2π
λ x−ωt ≤z90 ≤h2 þ a cos λ x−ωt ,
c ½ expf−2K h1 þa cosð2π
λ x−ωt Þg− expf−2K z90 g
then csat ¼ cb þ 0
:
½1− expf−2K z g
0.20
MODIS-Aqua 2003Sep14
Modelled
a
45.8
46.0
46.2
46.4
Latitude (oN)
Fig. 6. (a) Schematic representation of the model described in Section 4. (b) Chlorophyll concentration along the transect defined in Fig. 4, which runs approximately in the NE–SW direction (about 210 °T), as observed by MODIS-Aqua on 14 September 2003 (solid black line), and its corresponding modelled results (dashed black line). See text for more details.
28
S. Muacho et al. / Journal of Marine Systems 136 (2014) 22–30
turn, these positions were combined with the waves' propagation
speeds to yield other “previous” locations of the IT trough (i.e. farther
to northeast), which are an essential input for the model.
Satellite chlorophyll-a concentrations from September 14 (2003)
and modelled csat values along the propagation direction of the B-type
ISWs (and thus the associated IT) generated at G2 are shown
in Fig. 6b. The modelled chlorophyll concentration (se dashed line) is
in good agreement with the locations of the first and last maxima
(45.8 °N, 46.6 °N), which in turn are coincident with the presence of
IT crests — the minimum chlorophyll concentration around 46.8 °N is
also consistently shown in both cases. The most significant difference
between the measured and modelled results consists of a large region
between 46.0 °N and 46.4 °N, where the observed chlorophyll concentration (solid line) is significantly higher (~ 0.03 mg.m−3) than the
model results.
Despite this quantitative difference, it is possible to see that the location of the modelled IT crest close to 46.2 °N matches reasonably well
with the location of the chlorophyll-a maximum measured near 46.3
°N in the satellite image. We stress that this is the region where the interaction of ITs (and the interference of the corresponding IT crests) is
seen to occur (see Figs. 4 and 6). Therefore, the difference in chlorophyll
concentration between the model and the satellite observations is here
interpreted as directly related to the effect of a positive interference
between IT crests propagating in different directions (i.e. wave types A
and B). Note that, da Silva et al. (2002) showed similar results to those
presented here in Fig. 6 (see also their Fig. 3 for comparison), but without the atypical enhanced patterns of chlorophyll that we observe near
46.3 °N.
5. Discussion
Satellite data presented in this paper (in particular SAR and sunglint
imagery) provided evidence for two different IT propagation directions
in the central Bay of Biscay, which converge in a region centred close to
46 °N, −7 °E. This region is also described by Pingree and New (1995) as
an elliptical “eye”, who anticipated strong interactions there between
ITs coming from different generation sites along the French shelfbreak. Recent efforts have come to further support those conclusions,
both via in situ data and modelling results (see Pichon et al., 2013).
We have shown that the ITs converging to this region are likely generated from different ‘hotspots’ running along the French shelf-break. A
plausible generation mechanism has been identified for the A-type
ISWs (cf. Fig. 3), which were found to be locally generated from ITs coming from the critical slopes found at the elevated body force region labelled G1 in Fig. 3a. Note that, while the local generation hypothesis
had already been discussed for B-type waves (see e.g. New and da
Silva, 2002), the generation mechanism for A-type waves had not
been previously discussed in the literature. Furthermore, the Baines
(1982) barotropic tidal forcing in Fig. 3a is consistent with that already
presented in Pichon et al. (2013, see their Fig. 4). However, they did not
discuss its relevance for the local generation mechanism, nor did they
investigate its consistency with remotely sensed data.
At the same time, the synergistic satellite approach, between ocean
colour and near IR sensors, presented in Figs. 4 and 5 suggests that
enhanced chlorophyll-a concentrations in the central Bay of Biscay are
strongly correlated with a constructive interference between ITs propagating along two different axes. These waves are then expected to interact and originate enhanced vertical amplitudes, meaning that their
crests will effectively be displaced towards the surface with larger
vertical excursions.
It is interesting to note that, the chlorophyll-a patches presented
in Fig. 4 are representative of many other examples taken from the
same region (not shown). These results suggest that ITs interact close
to 46 °N, − 7 °E, where they usually form near-circular patches of
enhanced chlorophyll-a in ocean colour images. This is a very different
result from that presented by da Silva et al. (2002), where extended
surface bands were observed instead in a direction perpendicular
to the propagation axis of the ITs. We therefore suggest, that these
near-circular elevated chlorophyll-a patches are a consequence of the
interaction of long and well-developed ITs (with crest-lengths exceeding 50 km, as revealed by their associated ISWs), which change the phytoplankton vertical distribution in regions as large as 30 km in diameter
(see Fig. 4).
Furthermore, Fig. 6 presents smaller chlorophyll concentrations
obtained from our model simulations (when comparing with observed
satellite patch), precisely in the crossing range of different ITs (see also
Fig. 4). It is very likely that the mismatch between the modelled chlorophyll concentration and the satellite observations (i.e. the grey area in
Fig. 6) is related with significantly larger oscillations of the thermocline
owing to IT interactions, which takes place where IT crests interfere
constructively (centred at 46.3 °N, − 7.0 °E). In such circumstances,
those vertical movements would lead phytoplankton cells to undergo
larger vertical displacement, which should appear as a measurable
response in satellite chlorophyll products — significantly higher in
concentration and total area than for a single IT. As a consequence,
ocean colour remote sensors would then “see” an additional portion of
the uplifted DCM covering a larger area in the satellite images.
It is important at this stage to consider other processes capable of
influencing the ocean colour chlorophyll-a concentrations, which
could be causing the individual effects discussed thus far for ITs. For instance, the enhanced phytoplankton activities in this study region could
also result from Ekman pumping related processes such as eddies or
Swoddies (see Pingree and Le Cann, 1992), or even from mixing with
high-chlorophyll near-shelf waters. However, time series for the
Upwelling Index (computed from http://las.pfeg.noaa.gov/las6_5/
servlets/dataset, see also Schwing et al., 1996 and Alvarez et al., 2010)
taken for the central Bay of Biscay reveal practically no offshore transport for the time of our case study shown in Fig. 4 (as well as for others
of the same kind, not shown). It is also unlikely that mixing with shelfbreak waters could cause these levels of enhanced chlorophyll concentrations so far from the shelf-break, and in such a localized fashion. In either case, all look-alike processes which could potentially be masking
the IT effects discussed in the previous sections would be expected to
average out in long term mean products.
Therefore, the question that now arises is whether or not this strong
IW activity in the central Bay of Biscay, which is particularly intense in
late summer, has any measurable effect on a larger timescale of ocean
colour data. To investigate this hypothesis, we would require several
images for similar events to that described earlier, which unfortunately
are highly cloud contaminated. In fact, the major constraint in these
investigations is clearly related to continuous cloud cover affecting
this region, even during the summer period. To avoid this limitation,
the monthly climatology from ocean colour data for late summer has
been analysed, where the late summer period is defined here as the
September months. September was chosen for two primary reasons,
both resulting in the period where ISWs are stronger and more frequently observed. First, it agrees with the stronger stratification conditions (see e.g. Pingree and New, 1995), and second, has one of the two
highest spring tides of the year (the other being in March).
The mean September chlorophyll-a concentration in the central
region of the Bay of Biscay is presented in Fig. 7 (i.e. the 9 km level-3
product from MODIS-Aqua). In order to make a clear distinction
between different influencing levels owing to the presence of ITs,
we defined three regions south of the shelf-break, with 1° square
boxes, defined to be approximately parallel to the 200 m isobath
and centred in agreement with the location of the elliptical ‘eye’.
Therefore, Fig. 7 aims to present a comparison among these different
regions in the central Bay, which are affected by ITs to a different extent.
Note also that, the centre box is centred close to 46.1 °N, −7.2 °E, and
matches the area seen in the remotely sensed observations where
strong IT wave activity and elevated chlorophyll-a patches were
concentrated.
S. Muacho et al. / Journal of Marine Systems 136 (2014) 22–30
-8
Longitude(oE)
-7
o
165
T
oT
155
47
205 o
T
G1
G2
200
1000
2000
0.3
3000
-7.1%
-12.3
Latitude(oN)
%
0.2
activity over several days after spring tides. Under these circumstances,
strong IT activity would increase the amount of available light to phytoplankton in a continuous fashion in the course of several days, due to
repeated oscillations, and thus increase the primary production rates.
We further note that, this hypothesis is also supported by previous
model results (see Kamykowski, 1979; Muacho et al., 2013) that
effectively showed an increase in productivity due to large-amplitude
IT motion, associated however with shorter time-scales (up to
5 days). Considering that large IT waves occur periodically, and that
interaction processes are known to occur in late summer around
46 °N, − 7 °E, the positive anomaly of about 10% in the mean September chlorophyll-a could therefore be interpreted as a biomass increase
resulting from strong IT activity and consequent interaction, which is
ultimately driven by the specific morphology of the northern (French)
shelf-break of the Bay of Biscay.
P
6. Conclusions
Chlorophyll monthly
mean for September
(2002 to 2011)
(mg/m3)
46
29
Fig. 7. Climatological (from 2002 to 2011) mean chlorophyll-a concentration (in mg.m−3)
for September derived from MODIS-Aqua data in the central Bay of Biscay. The red rectangles represent areas where spatial averages have been calculated. The percentages indicated inside the two outer boxes are comparisons made with respect to the central box,
which aims to be representative of enhanced IT activity. The locations of surfacing IT
beams generated at G1 and G2 are also shown (see also Fig. 3). For reference, the dashed
black circle labelled P marks a location of enhanced concentration discussed in Section 5.
The climatological September data (from 2002 to 2011) thus reveal
that chlorophyll-a concentrations in the adjacent regions to the west
and to the east of the central Bay of Biscay are 7.1 and 12.3% lower,
respectively (see Fig. 7). These differences in the average chlorophyll
concentration suggest a significant effect owing to IT activity in this region, which is particularly pronounced in the central box due to the interaction of IT waves generated from G1 and G2 (see Fig. 3).
The anomaly in chlorophyll-a concentrations is about 10% more in
the central box when compared with the adjacent regions, even when
using monthly data to avoid the shorter-term responses, such as those
associated with the uplifting of the DCM under the influence of the IT.
This is in agreement with other related studies such as Pan et al.
(2012), who showed that the mean monthly values of chlorophyll-a
in a region of the South China Sea, due to IT activity were on average
19% higher than in the nearby areas that were minimally affected by
their presence. Note that, despite our 10% anomaly, the Bay of Biscay
does not have “minimally” affected areas by ITs, since these are present
in the adjacent regions as well (see Fig. 7 in New and da Silva, 2002; and
Fig. 3 in Pichon et al., 2013).
Interestingly, Fig. 7 also reveals an additional pattern of elevated
concentrations of chlorophyll-a close to 45.0 °N, − 7.5 °E, although
less expressive when compared with that discussed earlier. The authors
stress that this region matches reasonably well with the model results
shown in Pichon et al. (2013), which also exhibit a local maximum of
the M2 IT amplitudes at this location (see Fig. 14a in Pichon et al.,
2013). This particular signature detected on the September monthly
mean presents a smaller anomaly, when compared with the one previously discussed, possibly because it is farther south and way of the
region where the main IT interactions occur. However, this result reinforces the idea that large vertical disturbances over the thermocline
are capable of influencing the near-surface chlorophyll distribution,
even at large time scales.
These elevated chlorophyll-a concentration levels observed in
monthly mean data might be of considerable importance, since IT activity may be leading to an increase in biomass due to their persistent
In summary, this paper presents evidence for ITs propagating in two
distinct directions from the northern French shelf-break, which interact
in the central Bay of Biscay during late summer and after spring tides.
The enhanced chlorophyll-a concentration levels, observed on MODISAqua imagery, are in close agreement with the locations where these
ITs are expected to interact. The large chlorophyll-a patches observed
in individual images at this location are most likely the result of positive
interference between different IT crests. Moreover, this strong IT activity also presents ocean colour signatures on climatological satellite data
during late summer (i.e. September) and we therefore suggest that
there is a strong IW effect on the phytoplankton vertical dynamics.
The chlorophyll-a concentration anomalies identified in the mean
monthly data are significant, and indicate that IT activity has a relevant
ecological impact over the central Bay of Biscay, especially in the late
summer.
Acknowledgements
This work was undertaken as part of a PhD thesis (SFRH/BD/22561/
2005), funded by the Portuguese FCT (Fundação para a Ciência e
Tecnologia). One of the authors is also grateful for an FCT research
grant (SFRH/BPD/84420/2012). We would like to thank NASA for the
MODIS-Aqua data and ESA Project AOPT-2423 for providing the
SAR images. This research was partially supported by projects PEst-C/
MAR/LA0015/2011 and PEst-OE/MAR/UI0199/2011, funded by FCT
and the European Regional Development Fund (ERDF) through the
COMPETE — Operational Competitiveness Programme as part of the
National Strategic Reference Framework. We thank the three anonymous reviewers for their helpful comments, which we feel have helped
to improve the paper significantly. The helpful support provided by
Dr. Lynn Dewitt is also greatly acknowledged.
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