ArticlePDF Available

ISOW Spreading and Mixing as Revealed by Deep‐Argo Floats Launched in the Charlie‐Gibbs Fracture Zone

Wiley
Journal of Geophysical Research: Oceans
Authors:

Abstract and Figures

To improve our understanding of deep circulation, we deployed five Deep‐Argo floats (0–4,000 m) in the Charlie‐Gibbs Fracture Zone (CGFZ), which channels the flow of Iceland‐Scotland Overflow Water (ISOW), a dense water mass of the North Atlantic Ocean. The floats were programed to drift at 2,750 dbar in the ISOW layer. The floats mainly moved westward in the CGFZ, although some of them followed different routes for few cycles depending on northward intrusions of the North Atlantic Current over the CGFZ. One float revealed a direct route for ISOW from CGFZ to the Deep Western Boundary Current at Flemish Cap. In the CGFZ, oxygen data acquired by the floats revealed that the ISOW layer, characterized by salinity higher than 34.94 and density greater than 27.8 kg/m, was mainly composed of the highly oxygenated ISOW and the less oxygenated North East Atlantic Deep Water (NEADW), a complex water mass from the East Atlantic. In the ISOW layer, the relative contribution of ISOW was generally larger in the northern valley than in the southern valley of CGFZ. Northward intrusions of the North Atlantic Current above the CGFZ increased the relative contribution of NEADW in the northern valley and favors mixing between ISOW and NEADW. The ISOW‐NEADW signal flowing westward from the CGFZ toward the Deep Western Boundary Current was progressively diluted by Labrador Sea Water and Denmark Strait Overflow Water. Oxygen measurements from Deep‐Argo floats are essential for a better understanding and characterization of the mixing and spreading of deep water masses.
This content is subject to copyright. Terms and conditions apply.
ISOW Spreading and Mixing as Revealed by DeepArgo
Floats Launched in the CharlieGibbs Fracture Zone
Virginie Racapé
1,2
, Virginie Thierry
1
, Herlé Mercier
3
, and Cécile Cabanes
3,2
1
Ifremer, University of Brest, CNRS, IRD, Laboratoire d'Océanographie Physique et Spatiale (LOPS), IUEM, Brest, France,
2
University of Brest, CNRS, IRD, Unité Mixte de Service 3113, IUEM, Brest, France,
3
University of Brest, CNRS, Ifremer,
IRD, Laboratoire d'Océanographie Physique et Spatiale (LOPS), IUEM, 29280 Brest, France
Abstract To improve our understanding of deep circulation, we deployed ve DeepArgo oats
(04,000 m) in the CharlieGibbs Fracture Zone (CGFZ), which channels the ow of IcelandScotland
Overow Water (ISOW), a dense water mass of the North Atlantic Ocean. The oats were programed to drift
at 2,750 dbar in the ISOW layer. The oats mainly moved westward in the CGFZ, although some of them
followed different routes for few cycles depending on northward intrusions of the North Atlantic Current
over the CGFZ. One oat revealed a direct route for ISOW from CGFZ to the Deep Western Boundary
Current at Flemish Cap. In the CGFZ, oxygen data acquired by the oats revealed that the ISOW layer,
characterized by salinity higher than 34.94 and density greater than 27.8 kg/ m, was mainly composed of the
highly oxygenated ISOW and the less oxygenated North East Atlantic Deep Water (NEADW), a complex
water mass from the East Atlantic. In the ISOW layer, the relative contribution of ISOW was generally larger
in the northern valley than in the southern valley of CGFZ. Northward intrusions of the North Atlantic
Current above the CGFZ increased the relative contribution of NEADW in the northern valley and favors
mixing between ISOW and NEADW. The ISOWNEADW signal owing westward from the CGFZ toward
the Deep Western Boundary Current was progressively diluted by Labrador Sea Water and Denmark
Strait Overow Water. Oxygen measurements from DeepArgo oats are essential for a better understanding
and characterization of the mixing and spreading of deep water masses.
Plain Language Summary The North Atlantic Ocean contributes to the uptake in the deep ocean
of the excess of heat received by Earth due to human activities. The heat redistribution toward the rest
of the ocean depends on the deep circulation, which is still largely unknown. To improve our understanding
of this deep circulation, we deployed in 2015 and 2017 ve DeepArgo oats in the CharlieGibbs Fracture
Zone (CGFZ), a gap in the MidAtlantic Ridge that constraints the pathway of deep water masses. Those
autonomous platforms freely drifted at 2,750 dbar in the core of the IcelandScotland Overow Water
(ISOW), a young water mass, rich in O
2
, originating from the Nordic Seas. One oat revealed a new direct
route of ISOW toward the subtropical gyre. The pathway followed by the oats west of the CGFZ depended
on northward intrusions of the North Atlantic Current over the CGFZ. This interaction between the North
Atlantic Current and the deep ow in the CGFZ favors the mixing of ISOW with the North East Atlantic
Deep Water, an old water mass characterized by low O
2
. These results advocate for equipping DeepArgo
oats with oxygen sensors to improve understanding of deep circulation and water mass mixing.
1. Introduction
The Irminger, Labrador, and Nordic Seas are regions of dense water mass formation by winter heat loss.
These water masses feed the cold limb of the Meridional Overturning Circulation and their redistribution
within the rest of the ocean moderates global warming by transferring heat and anthropogenic carbon from
the atmosphere to the ocean interior. In recent decades, considerable changes were recorded in both North
Atlantic Deep Water and Antarctic Bottom Water (Purkey & Johnson, 2013; Smeed et al., 2014), two water
masses that belong to the deep Meridional Overturning Circulation. The sampling of the deep ocean
obtained by fulldepth hydrographic sections or moorings is nevertheless too sparse in space and time to pre-
cisely monitor and understand the spreading and mixing of these deep water masses and their variability
(Johnson et al., 2015). As demonstrated by Johnson et al. (2015), DeepArgo oats would be benecial to
complement repeat hydrographic sections. Both can provide robust estimates of long term changes in heat
©2019. American Geophysical Union.
All Rights Reserved.
RESEARCH ARTICLE
10.1029/2019JC015040
Key Points:
A direct route is suggested for ISOW
from the CharlieGibbs Fracture
Zone to the Deep Western Boundary
Current at Flemish Cap
At the CharlieGibbs Fracture Zone,
oxygen measurements are key to
quantifying ISOW mixing with
North East Atlantic Deep Water
Mixing between ISOW, North East
Atlantic Deep Water, Labrador Sea
Water, and Denmark Strait Overow
Water is observed in the western
basin
Supporting Information:
Supporting Information S1
Correspondence to:
V. Racapé and V. Thierry,
virginie.racape@ifremer.fr;
virginie.thierry@ifremer.fr
Citation:
Racapé, V., Thierry, V., Mercier, H., &
Cabanes, C. (2019). ISOW spreading
and mixing as revealed by DeepArgo
oats launched in the CharlieGibbs
Fracture Zone. Journal of Geophysical
Research: Oceans,124,
10.1029/2019JC015040
Received 12 FEB 2019
Accepted 28 AUG 2019
Accepted article online 2 SEP 2019
RACAPÉ ET AL. 6787
66 .
https://doi.org/
787 808
Published online 4 20191 OCT
content, in anthropogenic carbon as well as in ventilation of the deep ocean interior and thus a better under-
standing of the fate and impact of climate signals.
In the North Atlantic Ocean, most of the overturning occurs east of Greenland (Lozier et al., 2019).
There, the formation of IcelandScotland Overow Water (ISOW), one of the major components of
the North Atlantic Deep Water, strongly contributes to this overturning. Indeed, it is formed down-
stream of the FaroeShetland channel (Hansen & Østerhus, 2007) and the IcelandFaroe ridge (Beaird
et al., 2013; Figure 1) by entrainment of Atlantic Waters by overow waters originating from the
Nordic Seas. Within the North Atlantic subpolar gyre, ISOW ows southward east of the Reykjanes
Ridge in the Iceland Basin (e.g., Daniault et al., 2016; Fleischmann et al., 2001; McCartney, 1992; Zou
et al., 2017; Figure 1). Most of the southward ISOW ow ultimately reaches the Irminger Sea through
the CharlieGibbs Fracture Zone (CGFZ) near 52°N (Bower & Furey, 2017; Kanzow & Zenk, 2014;
McCartney, 1992; Saunders, 1994) and the Bight Fracture Zone near 57°N (Lankhorst & Zenk, 2006;
Petit et al., 2018; Xu et al., 2010; Figure 1). Along its southward pathway, ISOW interacts with North
East Atlantic Deep Water (NEADW), an old water mass owing northward in the eastern North
Atlantic. NEADW results from a complex mixing between Lower Deep Water originating from around
Antarctica and other surrounding water masses (van Aken, 2000). According to McCartney (1992), the
intensity of the ISOWNEADW interaction along the Reykjanes Ridge depends on whether NEADW cir-
culates cyclonically in the Iceland Basin before entering the CGFZ with ISOW, or whether it follows a
fairly direct route to the CGFZ with minimal looping in the Iceland Basin (McCartney, 1992; van Aken,
2000). The interaction between those two water masses within CGFZ and their relative contributions to
the deep ow there has, however, never been documented.
Within the CGFZ, the mean westward ISOW transport was recently estimated at 1.7 ± 0.5 Sv from a 22
monthlong current time series (Bower & Furey, 2017). This transport was subject to strong intraseasonal
variability, with daily mean values ranging from 7.1 to +3.0 Sv (Bower & Furey, 2017). Large decreases
in or even reversals of the westward ISOW transport were attributed to meanders of the eastward owing
North Atlantic Current (NAC) present at that time over the CGFZ and extending to depth greater than
2,500 m (Bower & von Appen, 2008; Bower & Furey, 2017; Saunders, 1994; Schott et al., 1999; Xu et al.,
2018). According to Schott et al. (1999) and Bower and von Appen (2008), the westward ISOW ow was
blocked by the NAC when its eastward surface velocity exceeded 15 cm/ s. Interestingly, the θand S proper-
ties of ISOW were not modied during reversal (Bower & Furey, 2017) even though we could have expected
some changes due either to the northward displacement of the deep water masses found below the NAC or to
changes in the relative contribution between ISOW and NEADW. Indeed, the properties of the westward
ow at CGFZ results from vertical and lateral mixing between ISOW, NEADW, and shallower waters
(McCartney, 1992) and it could be expected that these mixing processes are modied when the NAC is
located over the CGFZ.
After owing through the CGFZ and Bight Fracture Zone, it is generally assumed that ISOW heads north
in the Irminger Basin along the western ank of Reykjanes Ridge (Daniault et al., 2016). In the northern
part of the Irminger Sea, ISOW merges with Denmark Strait Overow Water (DSOW), a younger and
denser water mass than ISOW, formed downstream of the Denmark Strait. In the Irminger Basin,
ISOW and DSOW then ow southward within the Deep Western Boundary Current (DWBC), the major
conduit for deep water masses to the subtropical gyre (Figure 1; Dickson & Brown, 1994; Daniault et al.,
2016; McCartney & Talley, 1984; Saunders, 2001). Based on water mass property evolution or high reso-
lution model simulations, other studies have suggested westward (McCartney, 1992; Smethie & Fine,
2001; Stramma et al., 2004) or northwestward (Xu et al., 2010) ISOW pathways between the CGFZ and
the DWBC that bypass the circulation around the Irminger Sea. Xu et al. (2010) also suggested an east-
ward recirculation of ISOW across the southern valley of the CGFZ.
While ISOW plays a leading role in the storage of heat and anthropogenic carbon and their redistribution
toward the rest of the ocean, there are still some uncertainties about the pathways of this water mass and
how the climate signal that it carries is diluted by mixing with surrounding water masses. Based on ship
based and Argo hydrographic data as well as on surface dynamic conditions, we investigated the fate of
ISOW, its interaction with NEADW and other surrounding water masses within the CGFZ and beyond, as
well as its relationship with the NAC position. The shipbased hydrographic data were collected in the
10.1029/2019JC015040
Journal of Geophysical Research: Oceans
RACAPÉ ET AL. 6788
CGFZ in 2015 and 2017 as part of the French RREX (Reykjanes Ridge Experiment) project. Five DeepArgo
oats (04,000 m) equipped with temperature, salinity, and oxygen sensors were deployed in the CGFZ in
2015 and 2017 as part of the Novel Argo Observing System project. After presenting materials and
methods in section 2, we will describe (section 3) and discuss (section 4) ISOW pathways and mixing
inside and beyond the CGFZ.
2. Data and Methods
2.1. DeepArvor Float Data Set
The DeepArgo oats used in this study are DeepArvor oats (Le Reste et al., 2016). They are capable of sam-
pling the water column down to 4,000 m. Three DeepArvor oats were deployed simultaneously in the
CGFZ (52.73°N to 35.08°W; Figure 2) on 3 July 2015 (DP151, DP152, and DP153) during the RREX2015
cruise (Branellec & Thierry, 2016; Petit et al., 2018). Two additional oats were also deployed at the same
location on 9 August 2017 (DP171 and DP172) during the RREX2017 cruise (Branellec & Thierry, 2018;
Table 1). Their respective World Meteorological Organization (WMO) codes are given in Table 1.
The ve DeepArvor oats were programmed to drift at 2,750 dbar (referred to hereafter as the parking
depth) in the core layer of ISOW and every 10 days to measure proles of temperature (T), salinity (S),
and dissolved oxygen concentration (O
2
) as a function of pressure (P) between 4,000 m or the bottom and
the sea surface. The trajectory of the oats could have been inuenced by currents encountered during their
ascent and descent (about 12 hr each) and during surfacing for data transmission (about 10 min). However,
Figure 1. Schematic of the largescale circulation of the North Atlantic Subpolar gyre from Daniault et al. (2016). Bathymetry is plotted in color, with isobaths at 100
m, 1,000 m, and every 1,000 m below 1,000 m. Deep circulation delimited by the isopycnal σ
0
= 27.80 is shown in blue. The North Atlantic Current is shown in red.
Abbreviations indicate the Deep Western Boundary Current (DWBC), Labrador Sea Water (LSW), IcelandScotland Overow Water (ISOW), Denmark Strait
Overow Water (DSOW), Mediterranean Water (MW), North East Atlantic Deep Water (NEADW), Meridional Atlantic Ridge (MAR), CharlieGibbs Fracture Zone
(CGFZ), Bight Fracture Zone (BFZ), and NorthWest Corner (NWC). The orange triangle indicates the deployment position in the CGFZ of the ve DeepArgo
oats. The black dots represent the position of the oat proles.
10.1029/2019JC015040
Journal of Geophysical Research: Oceans
RACAPÉ ET AL. 6789
Table 1
Information About the Five DeepArgo Floats
Float ID DP151 DP152 DP153 DP171 DP172
Float WMO 6901759 6901602 6901758 6902812 6902811
Deployment date 3 July 2015 9 August 2017
Associated Cruise (reference CTD) RREX15 RREX17
(120) (109)
End of life (number of cycles achieved) 10 October 2015 (10) 28 May 2016 (33) 24 March 2017 (63) 10 October 2017 (7) Still active
Report on salinity data qualication Cabanes et al. (2018 )
Report on O
2
data qualication Gallian and Thierry (2018)
Note. WMO = World Meteorological Organization; CTD = conductivitytemperaturedepth. Dates are formatted as MM/DD/YYYY.
Figure 2. (a) Trajectories of the ve DeepArgo oats deployed in the CharlieGibbs Fracture Zone (CGFZ) in summers
2015 and 2017: DP151 (WMO#6901759) in orange; DP152 (#6901602) in red; DP153 (#6901758) in blue; DP171
(#6902812) in yellow; DP172 (#6902811) in cyan. (b, c) Zoom over the northern and the southern valleys (NV and SV) of
the CGFZ for 2015 (b) and 2017 (c). Some cycle numbers where P,T,S, and O
2
proles were collected are indicated.
Bathymetry (m) is colored in gray (the darkest shade indicates the shallowest areas). The gray line shows the 3,500m
isobath.
10.1029/2019JC015040
Journal of Geophysical Research: Oceans
RACAPÉ ET AL. 6790
due to the bathymetric constraint imposed by the CGFZ, the eastward surface and subsurface currents are
generally in the same vertical plane as the westward deep ow in the CGFZ, but in the opposite direction.
As a consequence, the currents encountered during the oat ascent or descent would only have led to an
underestimation of the westward displacement of the oat at its parking depth. Nonetheless, the oat displa-
cement was clearly inuenced by surface or subsurface currents in some cases. This is further discussed in
section 3.4, and the corresponding proles were not used when we analyzed the water mass composition
along the westward path of the oats (section 3.4). For some unexplained reason, DP152 and DP153 did
not dive and drifted at the surface during their Cycle Number 18. Considering the topography of the area,
the oats grounded at almost all cycles. Some of them suffered a premature deathrelated to the manage-
ment of the grounding by the oat software. A new grounding management procedure has been implemen-
ted in recent DeepArvor oats to address this issue. It now allows the oat to modify its parking depth if
grounding occurs during the drifting phase. The new grounding procedure also allows the oat to rise
directly to the surface without waiting for the programmed ascending time if grounding occurs during des-
cent to the proling depth. No premature death was observed on the oats deployed in the subpolar gyre of
the North Atlantic Ocean in 2018 with this new grounding procedure.
P,T, and Swere measured using a SeaBird SBE41CP conductivitytemperaturedepth sensor. Salinity bias
was estimated based on the method proposed by Cabanes et al. (2016). This method, adapted from that of
Owens and Wong (2009), is an objective analysis that compares the data obtained from a given oat with
a historical data set acquired in the area over the last 10 years for the 10 theta (θ) levels showing the least
variability in salinity. Compared with Owens and Wong (2009), the modied method minimizes the contri-
bution of the oldest historical data to account for the large interannual to decadal variability of the salinity
eld in the North Atlantic Ocean and provides more realistic error bars. Corrections proposed by the mod-
ied method and applied on our data set are detailed in Cabanes et al. (2018). These corrections were vali-
dated against an independent calibrated hydrographic prole acquired at oat deployment (Table 1) and
by comparing the proles acquired in the CGFZ by the different oats in 2015 or 2017 (Figures S1S5 in
the supporting information). A negative pressure dependency of 1.5 x 10
6
dbar
1
was recently detected
on the SBE41 conductivity sensor (Kobayashi, 2019), which would lead to a fresh offset of about 0.007 at
4,000 dbar. In this study, the salinity bias was estimated from data measured in the deep layers. The potential
effect of the pressure dependency on the salinity is thus not detectable in the deep layers, which are those
investigated in this paper. It could lead to a salty anomaly of about 0.007 in the surface layers that yet lies
within the measurement accuracy (0.01).
O
2
was measured at each prole with an Aanderaa Optode (4330), except for DP171 because the oxygen sen-
sor failed. O
2
data were decoded following the ArgoO
2
processing manual (Thierry, Bittig, et al., 2018) and
then corrected following the method of Takeshita et al. (2013). The data were rst corrected for any temporal
drift based on comparison to the World Atlas 2009 (Garcia et al., 2010). Then a correction was estimated by
comparing the rst ascending O
2
prole, expressed in terms of percent of saturation, with a calibrated refer-
ence prole acquired at the oat deployment (Table 1). In some cases, the comparison between the corrected
oat proles and the reference prole revealed the presence of a pressuredependent bias, suggesting that the
pressure correction proposed by Bittig et al. (2015) and taken into account during decoding was not suf-
cient. We thus applied an additional pressure correction to the raw data. The details of these corrections
are provided in Gallian and Thierry (2018), and the corrected data are available in the Argo database
(Figures S4 and S5).
Overall, the accuracy of temperature, salinity, and oxygen measurements was 0.01 °C, better than 0.01, and
2.5 μmol/ kg, respectively.
2.2. Optimum Multiparameter Analysis
An Optimum Multiparameter (OMP) analysis was used to identify water masses that explain hydrological
and biogeochemical properties measured by the DeepArgo oats near their parking depths. This method,
introduced by Tomczak (1981) and extended by the OMP user group from GEOMAR (http://omp.geomar.
de/), is based on a simple model of linear mixing between predened source water types (SWTs). It assumes
that mixing coefcients are identical for all SWT properties. The fraction of each SWT (xi) is determined
through the following set of linear mixing equations (equations (1)(3)) written here for three SWTs dened
by their potential temperature (θ
1
to θ
3
), salinity (S
1
to S
3
) and dissolved oxygen concentration (O
2, 1
to O
2, 3
)
10.1029/2019JC015040
Journal of Geophysical Research: Oceans
RACAPÉ ET AL. 6791
and for a water mass (WM) conservation equation (equation (4)) for which residuals (R) are minimized in a
nonnegative least squares sense. The subscript obs refers to the oat observations that we want to explain as
the sum of the SWT fractions.
x1θ1þx2θ2þx3θ3¼θobs þRθ(1)
x1S1þx2S2þx3S3¼Sobs þRS(2)
x1O2;1þx2O2;2þx3O2;3¼O2;obs þRO2 (3)
x1þx2þx3¼1þRWM (4)
The interpretation of the mixing coefcients depends on the selection criteria for the SWTs (Tomczak, 1981).
In this study, SWTs were dened directly from our DeepArgo data set (section 3.2) to investigate regional
mixing instead of mixing between SWTs from remote formation regions. The advantage of this denition
is that only a few parameters are necessary to resolve the OMP analysis because local water type properties
are little inuenced by remineralization. Otherwise, nutrients, which were not measured by our deep oat,
would have been needed to account for this biologihttp://omp.geomar.de/). We will thus use the more appro-
priate term Local Water Type (LWT) instead of SWT hereinafter.
To account for the new deep ventilation events recorded in winters 2015 and 2016 in the Irminger and
Labrador Seas (de Jong & de Steur, 2016; Piron et al., 2017; Yashayaev & Loder, 2016), we performed two
OMP analyses based on the data acquired either by the oats deployed in 2015 or those deployed in 2017.
For each OMP analysis, the θ,S, and O
2
values of the LWTs were dened from the shipbased and Deep
Argo data (section 3.2 and Table 2). Planetary potential vorticity was not considered as an additional tracer
here because it is not conservative in the NAC region due to large relative vorticity. Because LWTs are
dened by three tracers, the mixing model has four equations (equations (1)(4)) and one observation can
be explained by the mixing between at most three LWTs. To estimate LWT fractions explaining observations
near the oat parking depth (2,750 dbar), different mixing congurations of two or three LWTs were tested.
Results presented in sections 3.3 and 3.4 correspond to the LWT mixing conguration that minimizes ROMP
dened as follows:
ROMP ¼R2
θ
s2
θ
þR2
S
s2
s
þR2
O2
s2
O2
þR2
WM (5)
where R
θ2
,R
S2
,R
O22
, and R
WM2
are the model residuals and S
θ
,S
S
, and S
O2
are the standard deviations com-
puted from the properties of the LWT; θ,S, and O
2
of the LWT, characterized by different environmental
variabilities or instrumental and analytical accuracies. To account for this variability, Tomczak and Large
(1989) proposed to weight equations (1)(3) based on the relation between the standard deviation of the
properties of each LWT (Table 2) and the largest variance of the parameter in the source regions. Here, to
obtain comparable results from all mixing congurations tested in this study, we prefer to x the ratio
θ/S/O
2
/mass conservation to weight equations (1)(4). We used the ratio 3/ 1/1/3 that gives less weight to
salinity and oxygen whose sensors were less accurate than the temperature sensor.
The OMP analysis was performed for each measurement of every vertical prole of every oat. The results
were then interpolated on selected isopycnals (see sections 3.2 and 3.4).
3. Results
3.1. Trajectories of Deep Floats
During the rst month, the three oats deployed simultaneously in July 2015 (Table 1) moved westward in
the northern valley of the CGFZ (Figures 2a and 2b). Between 37°W and 37.5°W (53°N), the three oats were
apparently blocked in their westward displacement and changed direction. After three chaotic cycles with
different ow directions (Cycles 46), DP151 moved southward before heading west and dying, whereas
DP152 recirculated eastward in the southern valley of the CGFZ (from Cycle 8 to Cycle 13). At 35°W
(52.25°N), south of its deployment position, DP152 headed northwest back to its initial trajectory. During
10.1029/2019JC015040
Journal of Geophysical Research: Oceans
RACAPÉ ET AL. 6792
the next three months, its displacement was chaotic and remained between 36°W and 37°W in the northern
valley of the CGFZ. At Cycle 24, 6 months after its deployment, DP152 was still in the northern valley and
moved westward for two cycles until 37°W (53°N) where it turned northeastward toward the Irminger Basin.
It died 2 months later. Meanwhile, DP153, which deviated to the south from its westward displacement at
the same time as the two other oats (namely, at Cycle 4), but upstream (east of 37°W), came back to a
westward displacement in the northern valley (Figure 2a). After exiting the CGFZ at 38°W, DP153
continued toward the southwest to reach the Newfoundland Basin 4 months later (Cycles 1718). It then
circulated southward along the Flemish Cap during two cycles (Cycles 1920), before moving with an
apparent chaotic progression through a large area (4639°W/47.552.5°N; Figure 2a) dominated by the
NAC (Figure 1).
The two oats launched simultaneously in August 2017 (Table 1) at the same position as those deployed in
2015 also moved westward in the northern valley of the CGFZ over their rst cycles (Figures 2a and 2c).
Their westward trajectories were also disrupted but at a more eastern longitude (36°W) compared with
2015 (37.5°W). From 36°W, DP171 headed north for 1 month and died, whereas DP172 recirculated east-
ward in the northern valley back to its initial position (Cycle 6). It then moved with a chaotic progression
around the meridian 35°W (Figure 2c) before reaching the southern valley of the CGFZ (Cycle 13). Inside
the southern valley, DP172 quickly moved westward along the northern wall of the valley (Cycles 13
to 16) and left the CGFZ after Cycle 19. Beyond the CGFZ, DP172 continued westward toward the western
part of the subpolar gyre. Its trajectory was more south and more disrupted than that of DP151 and DP153
(Figure 2a). At each of these disruptions (37.5°W and 39°W), DP172 followed a southwardnorthward
displacement before returning back to its initial westward trajectory. Data acquired after 7 June 2018
(Cycle 31) are not presented in this study.
To sum up, the ve deep oats generally moved westward during their stay in the CGFZ, in particular during
the rst few cycles after their deployment. This overall westward displacement was perturbed between 36°W
and 38°W, where some oats moved northward, southward or recirculated eastward in the southern or the
northern valley without going east of 34.5°W. Finally, two oats (DP153 and DP172) made measurements
beyond the CGFZ, and one of these reached the Newfoundland basin and drifted in the area dominated by
the NAC.
Table 2
Local Water Types (LWT) Used to Resolve the OMP Analysis
Name In 2015 In 2017
LWT1: ISOW IcelandScotland Overow Water (θ) 2.89 ± 0.04 °C (32) 2.80 ± 0.05 °C (5)
(S) 34.981 ± 0.000 34.978 ± 0.000
(O
2
) 273.2 ± 0.2 μmol/kg 274.0 ± 0.2 μmol/kg
LWT2: IW Intermediate Water (θ) 4.40 ± 0.06 °C (55) 4.38 ± 0.05 °C (33)
(S) 34.934 ± 0.006 34.927 ± 0.003
(O
2
) 268.8 ± 2.6 μmol kg
1
262.2 ± 1.2 μmol/kg
LWT3: LSW Labrador Sea Water (θ) 3.42 ± 0.03 °C (74) 3.35 ± 0.03 °C (51)
(S) 34.876 ± 0.002 34.878 ± 0.001
(O
2
) 291 ± 1.0 μmol/kg 290.6 ± 0.7 μmol/kg
LWT4: DSOW Denmark Strait Overow Water (θ) 1.92 ± 0.03 (74) Not detected
(S) 34.908 ± 0.005
(O
2
) 287.1 ± 1.7 μmol/kg
LWT5: DSOWi interior route of Denmark Strait Overow Water (θ) 1.85 ± 0.01 °C (32) 2.15 ± 0.03 °C (12)
(S) 34.899 ± 0.000 34.911 ± 0.002
(O
2
) 283.4 ± 0.2 μmol/kg 275.3 ± 0.5 μmol/kg
LWT6: NEADW North East Atlantic Deep Water (Θ) 2.61 ± 0.04 °C (55) 2.58 ± 0.00 °C (34)
(S) 34.956 ± 0.005 34.959 ± 0.001
(O
2
) 268.6 ± 0.3 μmol/kg 264.8 ± 0.0 μmol/kg
LWT7: DW deep water (θ) 3.49 ± 0.07 °C (63) Not detected
(S) 34.936 ± 0.002
(O
2
) 271.2 ± 0.3 μmol/kg
Note. Each LWT core is dened by a potential temperature (θ), salinity (S), and dissolved oxygen concentration (O
2
) value calculated from the oat data set as
detailed in section 3.2. The standard deviation and number of data (in brackets) used to calculate the averaged values are given for information.
10.1029/2019JC015040
Journal of Geophysical Research: Oceans
RACAPÉ ET AL. 6793
3.2. Hydrological and Biogeochemical Properties Measured by Deep Floats: LWT Denition
This section aims to dene the set of LWTs used in the OMP analysis (section 2.2) that best explains the evo-
lution of θ,S, and O
2
properties measured by the deep oats along their trajectories. The potential tempera-
ture, salinity, and dissolved oxygen concentration sections show the main water masses sampled by the oats
along their paths (Figures 35). The water masses used as LWTs in the OMP analysis are described below,
and their θ,S, and O
2
properties are summarized in Table 2. The oat proles used to dene these properties
are shown in Figures 6 and 7.
ISOW or LWT1. ISOW is observed below 27.80 σ
0
. Its core is characterized by a deep salinity maximum near
2,750 m (Saunders, 1996), with values ranging between 34.96 (Schott et al., 1999) and 34.99 (Worthington &
Volkmann, 1965). A deep salinity maximum of 34.98 was measured by DeepArgo oats near their parking
depth over their rst cycles (Figures 35). A shipbased hydrographic section was made across the CGFZ
during the RREX cruises and provides a more complete view of the ISOW properties at oat deployment time
(Figure 6). To dene the rst LWT, we thus averaged θand O
2
values from the RREX data set for which
salinity below 27.80 σ
0
in the CGFZ was maximum (S
max
= 34.981 for stations 117 to 122 for the RREX15
cruise and S
max
= 34.978 for stations 106 to 110 for the RREX17 cruise; Figure 6 and Table 2). Here, the
ISOW core was detected at σ
2
= 37.03 kg/ m
3
(σ
0
27.88 kg/ m
3
; Figure 6) and characterized by salinities
comparable to those reported by Bower and Furey (2017) in 20102012 for the northern valley of the
CGFZ (maximum mean salinities of 34.975).
IW or LWT2. Intermediate Water (IW) is a lowoxygenated water mass observed in the upper 1,000 m of the
water column and originating from the eastern subpolar gyre (Harvey & Arhan, 1988; van Aken & de Boer,
1995). It was observed during the RREX2015 cruise along the Reykjanes Ridge between 27.52 σ
0
and 27.71 σ
0
(Petit et al., 2018). At this density range, IW differs from the other water masses by having an oxygen concen-
tration lower than 272 μmol/ kg (Petit et al., 2018). IW was sampled at the CGFZ by the deep oats launched
during RREX2015 and RREX2017 (Figures 3 and 7). Here, its averaged θ,S, and O
2
values were estimated
from the low oxygen concentration (<272 μmol/ kg) detected by the deep oats between 27.68 σ
0
and
27.7I σ
0
(Table 2 and Figure 7).
LSW or LWT3. LSW is formed in winter by deep convection in the Labrador and Irminger Seas (de Jong & de
Steur, 2016; Piron et al., 2017; Våge et al., 2011; Yashayaev & Loder, 2016). It spreads eastward through the
subpolar gyre and southward toward the subtropical gyre within the DWBC (McCartney & Talley, 1982;
McCartney, 1992; Sy et al., 1997; Talley & McCartney, 1982). LSW is the freshest (<34.89) and most oxyge-
nated (>280 μmol/ kg) water mass detected between 27.68 σ
0
and 27.80 σ
0
in this region (Dickson et al.,
1996; Lazier, 1973; Yashayaev, 2007). Figures 35 show that LSW was regularly sampled by the deep oats
both in the CGFZ area and in the Newfoundland Basin. The averaged θ,S, and O
2
values of this third
LWT were estimated from the deep oat data set measured between 27.68 σ
0
and 27.80 σ
0
, with salinity lower
than 34.88 and oxygen concentrations higher than 290 μmol/ kg (Figure 6). Properties of this LWT core
(Table 2) were estimated from the most westerly measurements made by DP153 in 2015 (Cycles 13, 15,
16, 20, and 21; Figures 5 and 6) and by DP172 in 2017 (Cycles 21, 26, 28, and 29; Figures 4 and 6 and
Table 2), to be as close as possible to the LSW formation area.
DSOW and DSOWi or LWT4 and LWT5. DSOW ows southward in the Irminger Sea and the Labrador Sea
within the DWBC. DSOW is the coldest and the densest water mass of the western subpolar gyre (Kieke &
Rhein, 2006) characterized by oxygen concentrations higher than 280 μmol/ kg (e.g., Falina et al., 2012;
Tanhua et al., 2005). Oxygen sections from oats deployed in 2015 reveal high oxygen concentrations below
3,000m depth (below 27.88 σ
0
; Figures 35). Maximum values (>284 μmol/ kg) were detected by DP153
northeast of Flemish Cap at 49°N to 44°W (Cycles 1921; Figures 5 and 6). This deep maximum in oxygen
concentration was characterized by a potential temperature lower than 2 °C and by salinity values slightly
higher than 34.90 (Table 2 and Figures 5 and 6). This is consistent with past studies that showed salinity
of DSOW in the DWBC at Flemish Cap to range between 34.89 and 34.91 (Mertens et al., 2014; Stramma
et al., 2004). Averaged properties associated with the deep oxygen maximum (O
2
> 284 μmol/ kg below
27.88 σ
0
) measured by DP153 were thus used to dene the fourth LWT (Table 2). This denition was,
however, inadequate to solve the OMP analysis of all proles of DP153 with reasonable residuals.
Residuals of salinity, oxygen, and potential temperature measured in the region dominated by the NAC
10.1029/2019JC015040
Journal of Geophysical Research: Oceans
RACAPÉ ET AL. 6794
(from Cycle 20) were in fact higher than the accuracy measurements. Such residuals suggested that a fth
LWT was needed to complete our model (section 2.2). The θSO
2
diagram from DP153 (Figure 6) shows
a second oxygen maximum (>282 μmol/ kg) at the DSOW layer, but with salinity values lower than 34.90.
It was detected west of 42°W between 52°N and 53°N at Cycles 14 and 15 (Figure 5). These conditions
(S< 34.90 and O
2
> 282 μmol/ kg below 27.88 σ
0
) were used to dene the averaged θ,S, and O
2
properties of a fth LWT (Table 2), allowing the OMP analysis to be successfully completed. Averaged
salinity of this LWT (34.899 ± 0.000; Table 2) is within the salinity range of 34.89 to 34.91 reported by
Stramma et al. (2004) and by Mertens et al. (2014). This water mass, which properties can be explained by
the inuence of shelf water cascading down to DSOW layer and by its recirculation in the Newfoundland
basin, will be called interior DSOW (DSOWi) hereafter. Indeed, dense Greenland shelf water cascading
down to the DSOW layer can cause a freshening and an increase in oxygen of the DSOW (Falina et al.,
2007). As DSOWi is fresher than DSOW but not more oxygenated, the lower oxygen concentration would
Figure 3. Section of potential temperature (top row; °C), salinity (middle row), and dissolved oxygen concentration
(bottom row; μmol/kg) measured in the CGFZ by DP151 (left panels), DP152 (middle panels), and by DP171 (right
panels). Black lines on the potential temperature section represent isotherms 2.5 to 4 °C with 0.25 resolution, whereas
those on the salinity section represent isohaline 34.94 below 27.80 σ
0
. Vertical dotted gray lines on the three panels
represent oat proles. Thick gray lines indicate the parking depth on the potential temperature section, the
σ
2
= 37.03 isopycnal on the salinity section, and the σ
0
= 27.68, 27.74, 27.80 and 27.88 isopycnals on the oxygen section.
The following local water types used in the Optimum Multiparameter analysis are indicated: IcelandScotland Overow
Water (ISOW), Labrador Sea Water (LSW), North East Atlantic Deep Water (NEADW), and interior Denmark Strait
Overow Water (DSOWi). Filled gray areas show the bathymetry.
10.1029/2019JC015040
Journal of Geophysical Research: Oceans
RACAPÉ ET AL. 6795
Figure 4. Same as Figure 3, but for DP172. The following local water types used in the Optimum Multiparameter analysis
are indicated: IcelandScotland Overow Water (ISOW), Intermediate Water (IW), Labrador Sea Water (LSW), and North
East Atlantic Deep Water (NEADW).
10.1029/2019JC015040
Journal of Geophysical Research: Oceans
RACAPÉ ET AL. 6796
result from the DSOW recirculation in the interior basin and its mixing with the Lower Deep Water
originating from the subtropics that is saltier and less oxygenated than DSOW (see Figure 9.15 in Talley
et al., 2011). The area sampled by the two oats deployed in 2017 was limited to the CGFZ. In this
context, DSOW (LWT4) was not detected in 2017, whereas DSOWi (LWT5) was dened from the coldest
and most oxygenated water mass detected there (Figure 6).
NEADW or LWT6. NEADW is an old water mass of southern origin characterized by low oxygen concentra-
tions (van Aken & Becker, 1996) and easily identiable from its linear relationship in θSdiagram (Mantyla,
1994; Saunders, 1986). Such a linear θSrelationship with low oxygen concentrations (between 265 and
269 μmol/ kg) is visible on the RREX proles sampled in 2015 and 2017 in the CGFZ just below ISOW
(Figure 6, LWT1). It is also observed from data measured in the northern and southern valleys of the
CGFZ by DP152 (Cycle 12 to 15), DP153 (Cycle 2), and DP172 (Cycle 8; Figures 35 and 7). This attests that
NEADW was sampled by the DeepArgo oats in the CGFZ. We thus used NEADW as the sixth LWT to
resolve the OMP analysis. The SO
2
diagram of DP152 (Cycle 12 to 15), DP153 (Cycle 2), and DP172
Figure 5. Same as Figure 3, but for DP153. The following local water types used in the Optimum Multiparameter analysis
are indicated: IcelandScotland Overow Water (ISOW), Intermediate Water (IW), Labrador Sea Water (LSW), Deep
Water (DW), Denmark Strait Overow Water (DSOW), and interior DSOW (DSOWi) as well as North Atlantic Central
Water (NACW), illustrating the North Atlantic Current position. Gray dashed lines on the salinity section represent the
37.01σ
2
and 37.05 σ
2
isopycnals.
10.1029/2019JC015040
Journal of Geophysical Research: Oceans
RACAPÉ ET AL. 6797
(Cycle 8; Figure 7) for data measured below 27.80 σ
0
shows that the core of this sixth LWT is characterized
by an oxygen minimum. Its averaged θ,S, and O
2
properties (Table 2) were thus calculated from data with
σ
0
< 27.80 kg/ m
3
for which the oxygen concentration was lower than 269 μmol/ kg. The θ/S/O
2
characteristics selected here for the LWT6 are consistent with those of the upper NEADW used by
GarciaIbanez et al. (2015) for their OMP analysis along the GreenlandPortugal OVIDE section.
DW or LWT7. Finally, to complete the OMP analyses of DP153 in the western region dominated by the NAC,
we needed to dene a seventh LWT. Its averaged θ,S, and O
2
values were estimated by considering the
Figure 6. (ae) The θ/S diagrams of the proles used to dene the properties of the local water types (LWTs) for the Optimum Multiparameter analysis. In each
panel, the black dot indicates the position of the LWT in the diagram and the black line with a number shows the isopycnal σ
0
of interest. The color represents
dissolved oxygen concentration (μmol/kg). (f) Position of the proles displayed on panels (ae). Bathymetry (m) is colored in gray (the darkest shade indicates the
shallowest areas). The gray line shows the 3,500m isobath. ISOW (LWT1) in 2015 (a) is dened from Stations 117 to 122 during the RREX15 cruise (magenta
squares on panel f). In 2017, ISOW (b) is dened from stations 106 to 110 during the RREX17 cruise (black squares on panel f). LSW (LWT3) in 2015 (c) is dened
from Cycles 13, 15, 16, 20, and 21 of DP153 (blue dots on panel f). LSW in 2017 (d) is dened from Cycles 21, 26, 28, and 29 of DP172 (cyan dots with black
numbers). DSOW (LWT4) and DSOWi (LWT5) in 2015 (c) are dened from Cycles 19, 20, and 21 and from Cycles 14 and 15 of DP153 (blue dots on panel f),
respectively. In 2017, DSOWi (d) is dened from Cycles 2 and 15 of DP172 (cyan dots with black numbers on panel f). Deep water (DW, LWT7) in 2015 (e) is dened
from Cycles 23, 24, 34, 53, 58, and 63 of DP153 (blue dots on panel f). ISOW = IcelandScotland Overow Water; DSOW = Denmark Strait Overow Water;
DSOWi = interior DSOW; DW = deep water; LSW = Labrador Sea Water.
10.1029/2019JC015040
Journal of Geophysical Research: Oceans
RACAPÉ ET AL. 6798
oxygen minimum (<272.5 μmol/ kg) sampled by the oat during Cycles 23, 24, 34, 53, 58, and 63 (Figures 5
and 6). This oxygen minimum, detected along isopycnal 27.79 σ
0
, is associated with salinity ranging from
34.93 to 34.94 (Figure 6). This water mass corresponds to the North West Atlantic Deep Water identied
by Harvey and Arhan (1988) on the western side of the MidAtlantic Ridge during the TOPOGULF
experiment. To avoid confusion with NEADW, we use the term of Deep Water (DW) hereinafter.
To summarize, we dened ve LWTs (ISOW, IW, LSW, NEADW, and DSOWi) to explain the evolution of θ,
S, and O
2
properties of deep water masses measured by the ve DeepArvor oats in the CGFZ and beyond,
and two additional LWTs (DW and DSOW) for the region dominated by the NAC that was only sampled
by DP153.
Figure 7. (ad) The θ/Sdiagrams and (ef) O
2
Sdiagrams of the proles used to dene the properties of the local water types (LWTs) for the Optimum
Multiparameter analysis. In each panel, the black dot indicates the position of the LWT in the diagram and the black line with a number shows the isopycnal
σ
0
of interest. On panels ad, the color represents dissolved oxygen concentration (μmol/kg), whereas on panels ef it represents the potential temperature (°C).
(g) Position of the proles displayed on panels af. Bathymetry (m) is colored in gray (the darkest shade indicates the shallowest areas). The gray line shows the,
3500m isobath. IW (LWT2) in 2015 (a) is dened from Cycle 1 of DP151 (orange dots on panel g), Cycle 1 of DP152 (red dots on panel g), and Cycles 13 and 5 of
DP153 (blue dots on panel g). In 2017, IW (b) is dened from Cycles 4, 8, 10, 11, and 12 of DP172 (cyan dots on panel g). NEADW (LWT6) in 2015 (ce) is
dened from Cycles 1215 of DP152 (red dots on panel g) and Cycle 2 of DP153 (blue dots on panel g). NEADW in 2017 (df) is dened from Cycle 8 of DP172
(cyan dots on panel g). IW = intermediate water; NEADW = North East Atlantic Deep Water.
10.1029/2019JC015040
Journal of Geophysical Research: Oceans
RACAPÉ ET AL. 6799
3.3. Composition of Deep Flow in the CGFZ
This section focuses on the OMP results in the CGFZ area, which is to say is between 38°W and 34.5°W
(Figure 2), and on σ
2
= 37.03 kg/ m
3
, the density level where ISOW core was detected during the oat deploy-
ment period (section 3.2; Figures 3 and 5). Note that OMP results provide information about the relative pro-
portion of two or three LWTs explaining θ,S,O
2
properties observed on a given density level but not on the
volume of each water mass. We used OMP results to investigate whether ISOW mixes with other water
masses while owing within CGFZ, particularly when the NAC moves northward above the CGFZ.
Indeed, Bower and Furey (2017) showed that the strong interaction between the NAC and ISOW ows in
the CGFZ did not change the θSproperties of ISOW. Oxygen acquisition by our deep oats allowed us to
test whether this hypothesis also holds for biogeochemical properties.
To investigate the NAC inuence on water mass transport at the ISOW level, we built on the result from
Bower and von Appen (2008) according to which the westward ISOW deep ow is disrupted by deep reach-
ing velocities of the NAC when its eastward surface velocity exceeds 15 cm/ s. In this context, we analyzed
the water mass composition on the 37.03 σ
2
isopycnal as a function of the oat position and that of the
NAC with surface velocities higher than 15 cm/ s. Note that in the following the NAC refers to meanders
and eddies belonging to the whole NAC system that were observed at or near the CGFZ with surface veloci-
ties higher than 15 cm/ s.
OMP results and surface velocities were thus averaged over given periods characterized by specic positions
of the NAC with respect to the CGFZ (Figures 810). Corresponding θ,S, and O
2
residuals are shown in
Figure S6.
The expected case is that for which water mass properties on the 37.03 σ
2
isopycnal are mainly explained by
those of ISOW. Such a situation was observed in the rst month after oat deployment in 2015 and 2017
(Figure 8). Mean OMP results show that θSO
2
properties measured at 37.03 σ
2
by the oats result from a
mixing of 85 ± 10% (88 ± 6%) ISOW, 13 ± 10% (7 ± 8%) NEADW, and 1 ± 1% (2 ± 3%) LSW in 2015
(2017). At that time, all oats moved westward in the northern valley of the CGFZ and the surface eastward
currents were weak enough not to inuence the deep westward ow or the trajectory of the oats very much
(Figures 2 and 8, left). ISOW was also identied as the major water mass explaining properties observed on
the 37.03 σ
2
isopycnal when DP152 came back to the northern valley of the CGFZ six months after its
deployment (Cycles 1920 near 36°W, OMP results not shown; see Figure 2). During all those periods, the
oats were located in the northern valley of CGFZ and the NAC was located above the southern valley of
the CGFZ, that is, south of the oat position (Figure 8, left).
Apart from this case, where ISOW contributed more than 85%, a range of various other congurations
was also observed with a larger proportion of NEADW (Figures 9 and 10). The data suggest that the
NEADW contribution increases south of the northern valley or when the NAC moves northward. For
instance, with a similar position of the NAC above the southern valley of the CGFZ as in the expected
case, the relative proportion of NEADW increased to 40% or even 70% when the oats were located either
in between the two valleys (Figure 9, top) or in the southern valley (Figures 9 and 10, bottom). Note that
in those congurations, either the deep oat moved westward in the opposite direction to the upper cur-
rent (Figure 9, top) or the oat was stopped or moved eastward underneath the NAC. On the contrary,
with a similar oat position in the northern valley as in the expected case (Figure 10, top and middle),
the relative contribution of NEADW increased to about 50% when a NAC meander or eddy reached the
northern valley (see meander at 37°W in Figure 10, top; or eddy located at 38.9°W and 53.5°N on
Figure 10, middle).
Finally, the OMP results show that the two main water masses that contributed to the θSO
2
properties on
the 37.03 σ
2
isopycnal in the CGFZ were ISOW and NEADW (Figures 810). The situations sampled by the
oats show that the relative contribution of ISOW (NEADW) varied between about 15% and 90% (10% and
85%) and that the third contributing water mass was LSW (less than 10%). They suggest that ISOW was pre-
vailing (more than 85%) in the deep westward ow in the northern valley of CGFZ when the NAC was south
of this valley. The NEADW contribution was quantied to more than 40% in between the two valleys of the
CGFZ, in the southern valley, and in the northern valley of CGFZ when a NAC meander or eddy was
located there.
10.1029/2019JC015040
Journal of Geophysical Research: Oceans
RACAPÉ ET AL. 6800
3.4. Westward Advection of the Deep Flow From the CGFZ
This section discusses the fate of the deep vein that carries ISOW and NEADW westward in the CGFZ. We
selected OMP results for which the deep oats obviously headed west in and beyond the northern and the
southern valley of the CGFZ. Indeed, the comparison between the oat trajectories and the surface currents
(Figures 810) shows that in some cases the surface currents inuenced the oat trajectories either during
their ascent and descent or because the NAC was sufciently intense (that is when its eastward surface velo-
cities exceeded 15 cm/ s) to disrupt or reverse the deep westward ow (Figure 10). For the northern valley, we
considered the four deep oats that collected oxygen data and retained all the proles made over their rst
cycles between their launch position and 37.5°N (Table 3; section 3.1; Figures 2b and 2c). Beyond 37.5°N, we
selected the proles measured by DP153 up to Newfoundland Basin (up to Cycle 19) except Cycle 13 when
the oat deviated southward (Figure 2). The similar direction between the surface velocities and the oat tra-
jectory suggests an inuence of a NAC meander on the trajectory of DP153, which could have been
Figure 8. (left panels) Satellitederived surface velocities (arrows) from AVISO (daily resolution, ¼°) averaged (top)
from 3 July to 11 August 2015 and (bottom) from 9 to 30 August 2017. Red (blue) arrows are for surface velocity higher
(lower) than 15 cm/s, the hypothetical threshold for which the westward ISOW deep ow is disrupted by deepreaching
velocities of the North Atlantic Current. Bathymetry (m) is colored in gray (the darkest shade indicates the shallowest
areas). The gray line shows the 3,500m isobath. The northern and the southern valleys of the CharlieGibbs Fracture Zone
are identied with their initial letters (NV and SV). Yellow dots show the locations of proles measured during each
period; the black dots represents the starting point of oat displacements. (right panels) Results of the Optimum
Multiparameter analysis on the 37.03 σ
2
isopycnal averaged for the proles displayed on the left panels (yellow dots).
NEADW = North East Atlantic Deep Water; IW = Intermediate Water; LSW = Labrador Sea Water;
ISOW = IcelandScotland Overow Water.
10.1029/2019JC015040
Journal of Geophysical Research: Oceans
RACAPÉ ET AL. 6801
temporarily deviated from the ISOW layer (Figure S7, top). For the southern valley and west of 38°W, we
used all proles with an evident westward displacement from DP172 (Table 3 and Figures 2a and 2c).
Other cycles of DP172 acquired in the southern valley were not retained for this section because the
surface velocities suggest an inuence of the NAC on the oat trajectory here as well (Figure S7, middle).
It is important to note that all proles selected in the CGFZ were positioned north of the NAC (see, e.g.,
Figures 8 and S8).
We considered the density range 37.0137.05 σ
2
, which encompasses the ISOW core level (37.03 σ
2
; Figure 5)
investigated in section 3.3. For conciseness, we (i) added the fraction of ISOW to that of NEADW, (ii) selected
OMP results obtained for each density level between 37.01 σ
2
and 37.05 σ
2
, and (iii) averaged the selected
OMP results for six regions (R1 to R6; Figure 11) and estimated the uncertainties as the standard deviation
of the OMP results in each of these regions. Proles used for each of the six regions and θ,S, and O
2
errors
are reported in Table 3. The fraction of ISOW explaining properties between 37.01 σ
2
and 37.05 σ
2
was never-
theless provided for the CGFZ area (R1R3) to echo section 3.3.
In the northern and southern valleys of the CGFZ, the relative contribution of the ISOWNEADW to the
properties of the deep vein owing westward was 89% (Figure 11). This relative contribution was dominated
by ISOW, whose intensity was greater in the northern than in the southern valley.
The intensity of the relative contribution of the ISOWNEADW signal decreased while spreading westward
due to mixing with the shallower LSW and deeper DSOWi (Figure 11). At the exit of the CGFZ (R3, 40°W),
Figure 9. Same as Figure 8, but for the period between 20 November and 19 December 2015 (top panels) and the period
between 29 December 2017 and 17 January 2018 (bottom panels).
10.1029/2019JC015040
Journal of Geophysical Research: Oceans
RACAPÉ ET AL. 6802
properties in the ISOW layer were explained by those of ISOWNEADW at 87 ± 5% in the northern valley
and 70 ± 15% in the southern valley, which suggests that mixing with LSW and DSOWi was more intense
in the southern valley. This could be explained by the proximity of the subpolar branch of the NAC that
carries LSW eastward and by the recirculation of DSOW in the interior basin (Figure 9.15 in Talley et al.,
2011). This westward dilution of the ISOWNEADW signal is seen on the salinity sections from DP153
(Figure 5) and DP172 (Figure 4).
Figure 10. Same as Figure 8 but for the period between 29 January to 27 February 2016 (top panels), the period between 23
July and 21 August 2015 (middle panels), and the period between 11 September and 30 October 2015 (bottom panels).
10.1029/2019JC015040
Journal of Geophysical Research: Oceans
RACAPÉ ET AL. 6803
Finally, OMP results along DP153 show that the relative contribution of ISOWNEADW observed in the
northern valley of the CGFZ is detectable up to the Newfoundland Basin. At 52°N to 46°W, properties of
the deep vein were still mainly explained by ISOWNEADW (65 ± 12%). The remainder was a mixture, with
about the same proportions of DSOWi (18 ± 12%) and LSW (17 ± 4%). DP153 then reached the DWBC at R6
(near 49°N). There, properties of the deep vein resulted from mixing between DSOW (43 ± 7%), ISOW
NEADW (39 ± 4%), and LSW (18 ± 3%). Analysis of the surface dynamic conditions over Cycles 1517 reveals
large meanders and eddies in the area of the northwest corner of the NAC (4446°W, 5053°N; Figure 1),
with surface velocities in the same direction as oat displacements (Figure S7, bottom). These structures
Table 3
RMS of the Residuals of the OMP Results Obtained Between 37.01 σ
2
and 37.05 σ
2
for Six Regions Along the Westward Path of the DeepArgo Floats
Region CGFZ Float cycles θerror (°C) Serror O
2
error (μmol/kg)
R1 (35 to 36°W) NV DP153 Cycle 1 to 2; DP151 Cycle 1; DP152 Cycle 1; DP172 cy. 2 to 3 0.003 0.004 0.2
SV DP172 Cycle 13 to 14 0.005 0.002 0.5
R2 (36.5 to 38°W) NV DP153 Cycle 3 to 4; DP151 Cycle 2 to 3; DP152 Cycle 2 to 3 0.002 0.001 0.4
SV DP172 Cycles 15 and 18 0.006 0.002 1.7
R3 (38 to 40°W) NV DP153 Cycle 6 to 9 0.002 0.001 0.7
SV DP172 Cycles 22 and 29 to 31 0.003 0.002 0.9
R4 (40 to 43°W) DP153 Cycles 10 to 12 and 14 0.004 0.003 0.8
R5 (43 to 46°W, >50°N) DP153 Cycle 15 to 17 0.000 0.003 0.7
R6 (43 to 46°W, <50°N) DP153 Cycle 19 0.001 0.008 1.4
Note. RMS = rootmeansquare; OMP = Optimum Multiparameter; NV = northern valley; SV = southern valley.
Figure 11. Westward evolution of the ISOWNEADW signal from the CGFZ to the Deep Western Boundary Current. Bar
plots with error bars show Optimum Multiparameter results averaged between 37.01 σ
2
and 37.05 σ
2
for six regions
(R1 to R6) with their standard deviations. Dashed bar plots in the northern (NV) and southern (SV) valleys of the CGFZ
representing the ISOW proportion of the deep vein. Corresponding proles are given in Table 3 and indicated on the
map with alternating colors to differentiate the regions: black for regions R1, R3, and R5 and orange for regions R2, R4, and
R6. Proles measured in the northern (southern) valley of the CGFZ are represented with a triangle (square).
ISOW = IcelandScotland Overow Water; DSOW = Denmark Strait Overow Water; DSOWi = interior DSOW;
DW = deep water; LSW = Labrador Sea Water; IW = Intermediate Water; NEADW = North East Atlantic Deep Water;
CGFZ = CharlieGibbs Fracture Zone.
10.1029/2019JC015040
Journal of Geophysical Research: Oceans
RACAPÉ ET AL. 6804
from the NAC probably contributed to the westward evolution of the ISOWNEADW signal toward the
DWBC. The high oat displacement speed estimated over these periods (above 20 cm/ s) supports this
hypothesis.
4. Discussion and Conclusion
During summers 2015 and 2017, ve DeepArgo oats were deployed in the northern valley of the CGFZ to
drift at 2,750 dbar in the ISOW layer. As expected, the oats were rst carried westward in the CGFZ by the
westward ow of the ISOW layer in opposite direction to the upper current. Although they generally moved
westward during their stay in the CGFZ, the oat displacement was perturbed between 36°W and 38°W
where some oats moved northward, southward or recirculated eastward. The two oats that recirculated
eastward drifted either in the southern or northern valley. They went back westward after few cycles without
going east of 34.5°W. Two oats eventually turned northward toward the Irminger basin in agreement with
the known ISOW pathway but premature oat death prevented further investigations. Finally, two oats
(DP153 and DP172) made measurements beyond the CGFZ, and one of them reached the Newfoundland
basin and drifted in the area dominated by the NAC.
The analysis of surface dynamic conditions derived from AVISO maps suggests that the pathway fol-
lowed by a oat in the CGFZ depends on whether or not northward intrusions of the eastward owing
NAC with deepreaching velocities are present over the valleys of the CGFZ. One clear example is when
aoat drifted eastward in the southern valley of the CGFZ below the NAC (Figure 10, bottom). One can
also note that two eddies coming from the NAC were present downstream of the initial westward tra-
jectory of the deep oats: the rst eddy was centered at 39°W to 53.5°N in July 2015 and the second
at 37.5°W to 52.5°N in August 2017 (Figure 8, left). The presence of those eddies with potentially deep
reaching velocities might explain changes in the direction of the oat trajectories observed between 36°
W and 38°W one month after their deployments (Figure 2 and section 3.1).
One oat revealed a direct route for ISOW from the CGFZ toward the DWBC at Flemish Cap. The westward
spreading of the deep vein between the CGFZ and Flemish cap was initially suggested from hydrographic
sections (McCartney, 1992; Smethie & Fine, 2001; Stramma et al., 2004) but had never been sampled directly.
It was also simulated by the eddyresolving (1/12°) Atlantic simulations from Xu et al. (2010). Moreover,
those authors pointed out that the westward pathway probably followed a route along the 3,500m isobath,
which is consistent with the oat path seen in Figure 2. Beyond the CGFZ, this study showed that the west-
ward ow of the ISOW layer from the CGFZ was advected by the NAC meandering close to the northwest
corner to the DWBC north of Flemish Cap. This is in line with the southern increase in salinity observed
along the Newfoundland coast by McCartney (1992), Smethie and Fine (2001), and Stramma et al. (2004).
While the numerical model of Xu et al. (2010) showed that the westward route nally turned north between
46°W and 48°W to reach the DWBC south of the Cape Farewell, it highlighted a deep circulation dominated
by eddies close to the northwest corner area in agreement with our observations. At Flemish Cap, our oat
was captured by the NAC and returned to the CGFZ with a chaotic trajectory (Figure 2). Finally, the differ-
entiation between this westward route and the northward ISOW route toward the Irminger basin occurs
west of 36°W in the numerical model of Xu et al. (2010). Although we have not been able to investigate this
northward ISOW route in the present study, changes in the oat trajectory that occur between 36°W and 38°
W are consistent with the results of Xu et al. (2010).
Oxygen data acquired by the oats in the CGFZ revealed that the ISOW layer, characterized by salinity
higher than 34.94 and density greater than 27.80 kg/ m
3
(Saunders, 1996), was mainly composed of the
highly oxygenated ISOW and less oxygenated NEADW. Based on an OMP analysis, we showed varying rela-
tive contributions of the two water masses in the ISOW layer in the CGFZ. ISOW was generally dominant in
the northern valley, but its contribution decreased when eddies or meanders of the NAC with deepreaching
velocities were present there. Although NEADW was detected in both valleys, its contribution compared
with that of ISOW was larger in the southern valley than in the northern valley (Figures 811), probably
because less ISOW goes that way. Only a volumetric analysis would allow a conclusion to be made on this.
All of these results support the hypothesis that northward intrusions of the NAC into the CGFZ reduce the
latitudinal extension of ISOW and favor its mixing with NEADW. Like ISOW, NEADW is dened by salinity
higher than 34.94 below 27.80 σ
0
in the CGFZ (Table 2 and Figures 6 and 7), which means that
10.1029/2019JC015040
Journal of Geophysical Research: Oceans
RACAPÉ ET AL. 6805
discrimination between the two water masses is possible with oxygen measurements (and with other biogeo-
chemical tracers such as silicate measurements; van Aken, 2000). As oxygen was not measured by Bower and
Furey (2017), they could not observe the signature of NEADW with their moorings in the CGFZ, in particular
during strong interaction between the NAC and the deep westward ow.
OMP results showed that the ISOWNEADW signal owing westward from the CGFZ toward the DWBC
was progressively diluted by LSW and DSOW. LSW and DSOW are two water masses carried from the wes-
tern basin to the CGFZ by the subpolar branch of the NAC system. These results suggest that the mixing
between ISOW, LSW, and DSOW in the western basin is a potential source of the NEADW. This complex
water mass (NEADWISOWLSWDSOW) probably returns to the eastern basin within the NAC system,
as suggested in the deep circulation scheme of Daniault et al. (2016). An oxygenated NEADW might suggest
a westward origin whereas a low oxygenated NEADW would come from the eastern basin. More data,
including O
2
measurements, from moorings, ships, or autonomous platforms would be necessary to rene
the complex relationships between these four water masses and to better understand mechanisms involved
in the interactions with the NAC.
Regular acquisition of oxygen measurement is now essential to better understand the oceanic response to
global warming. O
2
is classically used to investigate key physical processes such as airsea interactions
(Maze et al., 2012), deepconvection (Piron et al., 2017) and ventilation, deep circulation, and water mass
mixing (this study). O
2
measurements are also necessary to improve estimates of the oceanic uptake of
anthropogenic CO
2
, to monitor the impact of global warming on global oceanic oxygen content
(Schmidtko et al., 2017) or to investigate decadal to seasonal changes in net community and export produc-
tion (Gruber et al., 2010). There is thus a strong effort in the scientic community to set up and maintain a
long term observing systems that will produce a homogeneous and validated O
2
data set.
References
Argo (2000). Argo oat data and metadata from Global Data Assembly Centre (Argo GDAC). SEANOE. https://doi.org/10.17882/42182
Beaird, N. L., Rhines, P. B., & Eriksen, C. C. (2013). Overow waters at the IcelandFaroe Ridge observed in multiyear seaglider surveys.
Journal of Physical Oceanography,43(11), 23342351. https://doi.org/10.1175/JPOD13029.1
Bittig, H. C., Fiedler, B., Fietzek, P., & Körtzinger, A. (2015). Pressure response of Aanderaa and SeaBird oxygen optodes. Journal of
Atmospheric and Oceanic Technology,32(12), 23052317. https://doi.org/10.1175/JTECHD150108.1
Bower, A., & Furey, H. (2017). IcelandScotland Overow Water transport variability through the C harlieG ibbs F racture Z one and the
impact of the North Atlantic Current. Journal of Geophysical Research: Oceans,122, 69897012. https://doi.org/10.1002/2017JC012698
Bower, A. S., & von Appen, W. J. (2008). Interannual variability in the pathways of the North Atlantic Current over the MidAtlantic Ridge
and the impact of topography. Journal of Physical Oceanography,38(1), 104120. https://doi.org/10.1175/2007JPO3686.1
Branellec, P. & Thierry, V. (2016). RREX 2015, CTDO2 data report. ODE/ LOPS/1626. https://doi.org/10.13155/47156
Branellec, P. & Thierry, V. (2018). RREX 2017, CTDO2 data report. Rap. Int. LOPS/ 1804. https://doi.org/10.13155/58074
Cabanes, C., Racapé, V. & Thierry, V. (2018), Delayed mode analysis of Deep Avor Float. SO. ARGO LOPS report n°LOPS/ 1803.
http://archimer.ifremer.fr/doc/00443/55464/
Cabanes, C., Thierry, V., & Lagadec, C. (2016). Improvement of bias detection in Argo oat conductivity sensors and its application in the
North Atlantic. Deep Sea Research Part I: Oceanographic Research Papers,114, 128136. https://doi.org/10.1016/j.dsr.2016.05.007
Daniault, N., Mercier, H., Lherminier, P., Sarafanov, A., Falina, A., Zunino, P., et al. (2016). The northern North Atlantic Ocean mean
circulation in the early 21st century. Progress in Oceanography,146, 142158. https://doi.org/10.1016/j.pocean.2016.06.007
de Jong, M. F., & de Steur, L. (2016). Strong winter cooling over the Irminger Sea in winter 20142015, excepti onal deep convection, and the
emergence of anomalously low SST. Geophysical Research Letters,43, 71067113. https://doi.org/10.1002/2016GL069596
Dickson, R., Lazier, J., Meincke, J., Rhines, P., & Swift, J. (1996). Longterm coordinated changes in the convective activity of the North
Atlantic. Progress in Oceanography,38(3), 241295. https://doi.org/10.1016/S00796611(97)000025
Dickson, R. R., & Brown, J. (1994). The production of North Atlantic Deep Water: Sources, rates, and pathways. Journal of Geophysical
Research,99(C6), 1231912341. https://doi.org/10.1029/94JC00530
Falina, A., Sarafanov, A., Mercier, H., Lherminier, P., Sokov, A., & Daniault, N. (2012). On the cascading of dense shelf waters in the
Irminger Sea. Journal of Physical Oceanography,42(12), 22542267. https://doi.org/10.1175/JPOD12012.1
Falina, A., Sarafanov, A., & Sokov, A. (2007). Variability and renewal of Labrador Sea Water in the Irminger Basin in 1991 2004. Journal of
Geophysical Research,112(C1), C01006. https://doi.org/10.1029/2005jc003348
Fleischmann, U., Hildebrandt, H., Putzka, A., & Bayer, R. (2001). Transport of newly ventilated deep water from the Iceland Basin to the
West European Basin. Deep Sea Research Part I: Oceanographic Research Papers,48(8), 17931819. https://doi.org/10.1016/S09670637
(00)001072
Gallian, M., & Thierry, V. (2018). Delayedmode quality control of dissolved oxygen concentration measured by ARGO oats in the North
Atlantic with LOCODOX Floats deployed in 2012, 2014, 2015, 2016 and 2017. https://doi.org/10.13155/58314
Garcia, H. E., Locarnini, R. A., Boyer, T. P., Antonov, J. I., Baranova, O. K., Zweng, M. M., & Johnson, D. R. (2010). In S. Levitus (Ed.), World
Ocean Atlas 2009, Volume 3: Dissolved Oxygen, Apparent Oxygen Utilization, and Oxygen Saturation,NOAA Atlas NESDIS (Vol. 70).
Washington, D.C: U.S. Government Printing Ofce.
GarciaIbanez, M. I., Pardo, P. C., Carracedo, L. I., Mercier, H., Lherminier, P., Rios, A. F., & Perez, F. F. (2015). Structure, transports and
transformations of the water masses in the Atlantic Subpolar Gyre. Progress in Oceanography,135,1836. https://doi.org/10.1016/j.
pocean.2015.03.009
10.1029/2019JC015040
Journal of Geophysical Research: Oceans
RACAPÉ ET AL.
Acknowledgments
The authors thank two anonymous
reviewers for their fruitful and
meaningful comments that helped
improve this manuscript. They also
thank their colleagues and ship crews of
the N.O. Thalassa and the N.O. Atalante
involved in the DeepArgo oat
deployment and hydrographic
acquisition of the RREX cruise data
discussed in this paper. V. Racapé and
V. Thierry were supported by the
French Institute for the Exploitation of
the Sea (IFREMER, Plouzané, France)
and H. Mercier and C. Cabanes by the
French National Centre for Scientic
Research (CNRS). The DeepArgo oats
were funded by the EQUIPEX NAOS
(Novel Argo Observing System) project
funded by the French National
Research Agency (ANR) under
Reference ANR10EQPX40. The work
was supported by the French
Oceanographic Fleet (TGIR FOF) for
the realization of the RREX cruises and
by the AtlantOS project funded by the
European Union's Horizon 2020
research and innovation program under
Agreement 633211. DeepArgo data
used in this study are available in the
Argo database (Argo, 2000; at www.
argodatamgt.org). The RREX data set is
available at https://doi.org/10.17882/
55445 (Thierry, Mercier, et al., 2018).
The AVISO altimeter data were down-
loaded from the Copernicus Marine
Environment Monitoring Service web-
site (http://marine.copernicus.eu/ser-
vicesportfolio/accesstoproducts/).
6806
Gruber, N., Doney, S. C., Emerson, S. R., Gilbert, D., Kobayashi, T., Kortzinger, A., et al. (2010). Developing a Global In Situ Observatory for
Ocean Deoxygenation and Biogeochemistry. In J. Hall, D. E. Harrison, & D. Stammer (Eds.), Proceedings of OceanObs'09: Sustained Ocean
Observations and Information for Society (Vol. 2). Venice, Italy: ESA Publication WPP306. https://doi.org/10.5270/OceanObs09.cwp.39
Hansen, B., & Østerhus, S. (2007). Faroe bank channel overow 19952005. Progress in Oceanography,75(4), 817856. https://doi.org/
10.1016/j.pocean.2007.09.004
Harvey, J. & Arhan, M. (1988) The water masses of the central North Atlantic in 198384. Journal of Physical Oceanography,18, 18551875.
Johnson, G. C., Lyman, J. M., & Purkey, S. G. (2015). Informing deep Argo array design using Argo and fulldepth hydrographic section
data. Journal of Atmospheric and Oceanic Technology,32(11), 21872198. https://doi.org/10.1175/JTECHD150139.1
Kanzow, T., & Zenk, W. (2014). Structure and transport of the Iceland Scotland Overow plume along the Reykjanes Ridge in the Iceland
Basin. Deep Sea Research Part I: Oceanographic Research Papers,86,8293. https://doi.org/10.1016/j.dsr.2013.11.003
Kieke, D., & Rhein, M. (2006). Variability of the overow water transport in the western subpolar North Atlantic, 195097. Journal of
Physical Oceanography,36(3), 435456. https://doi.org/10.1175/JPO2847.1
Kobayashi, T. (2019). Fresh salinity bias with negative pressure dependency found at SBE 41CP on Deep NINJA. Presentation (AST
20_201903_DeepNINJA_SensorBias_dual.pdf) at the 20th Argo Steering Team meeting in Hangzhou (China), March 2019. Available at.
http://www.argo.ucsd.edu/AcAST20_agenda.html
Lankhorst, M., & Zenk, W. (2006). Lagrangian observations of the middepth and deep velocity elds of the northeastern Atlantic Ocean.
Journal of Physical Oceanography,36(1), 4363. https://doi.org/10.1175/JPO2869.1
Lazier, J. R. N. (1973). The renewal of Labrador Sea water. Deep Sea Research and Oceanographic Abstracts,20(4), 341353. https://doi.org/
10.1016/00117471(73)900582
Le Reste, S., Dutreuil, V., André, X., Thierry, V., Renaut, C., Le Traon, P. Y., & Maze, G. (2016). DeepArvor: A new proling oat to
extend the Argo observations down to 4000m depth. Journal of Atmospheric and Oceanic Technology,33(5), 10391055. https://doi.org/
10.1175/JTECHD150214.1
Lozier, M. S., Li, F., Bacon, S., Bahr, F., Bower, A. S., Cunningham, S. A., et al. (2019). A sea change in our view of overturning in the
subpolar North Atlantic. Science,363(6426), 516521. https://doi.org/10.1126/science.aau6592
Mantyla, A. W. (1994). The treatment of inconsistencies in Atlantic deep water salinity data. Deep Sea Research Part I: Oceanographic
Research Papers,41(9), 13871405. https://doi.org/10.1016/09670637(94)90104X
Maze, G., Mercier, H., Thierry, V., Memery, L., Morin, P., & Perez, F. F. (2012). Mass, nutrient and oxygen budgets for the northeastern
Atlantic Ocean. Biogeosciences,9(10), 40994113. https://doi.org/10.5194/bg940992012
McCartney, M. S. (1992). Recirculating components to the deep boundary current of the northern North Atlantic. Progress in Oceanography,
29(4), 283383. https://doi.org/10.1016/00796611(92)90006L
McCartney, M. S., & Talley, L. D. (1982). The subpolar mode water of the North Atlantic Ocean. Journal of Physical Oceanography,12(11),
11691188. https://doi.org/10.1175/15200485(1982)012<1169:TSMWOT>2.0.CO;2
McCartney, M. S., & Talley, L. D. (1984). Warmtocold water conversion in the northern North Atlantic Ocean. Journal of Physical
Oceanography,14(5), 922935. https://doi.org/10.1175/15200485(1984)014<0922:WTCWCI>2.0.CO;2
Mertens, C., Rhein, M., Walter, M., Böning, C. W., Behrens, E., Kieke, D., et al. (2014). Circulation and transports in the Newfoundland
Basin, western subpolar North Atlantic. Journal of Geophysical Research: Oceans,119, 77727793. https://doi.org/10.1002/2014JC010019
Owens, W. B., & Wong, A. P. (2009). An improved calibration method for the drift of the conductivity sensor on autonomous CTD proling
oats by θS climatology. Deep Sea Research Part I,56(3), 450457. https://doi.org/10.1016/j.dsr.2008.09.008
Petit, T., Mercier, H., & Thierry, V. (2018). First estimate of the volume and water mass transports across the Reykjanes Ridge. Journal of
Geophysical Research: Oceans,123, 67036719. https://doi.org/10.1029/2018JC013999
Piron, A., Thierry, V., Mercier, H., & Caniaux, G. (2017). Argo oat observations of basinscale deep convection in the Irminger Sea during
winter 20112012. Deep Sea Research Part I: Oceanographic Research Papers,109,7690. https://doi.org/10.1016/j.dsr.2015.12.012
Purkey, S. G., & Johnson, G. C. (2013). Antarctic Bottom Water Warming and Freshening: Contributions to Sea Level Rise, Ocean
Freshwater Budgets, and Global Heat Gain. Journal of Climate.26:61056122. https://doi.org/10.1175/JCLID1200834.1
Saunders, P. M. (1994). The ux of overow water through the CharlieGibbs Fracture Zone. Journal of Geophysical Research,99(C6),
1234312355. https://doi.org/10.1029/94JC00527
Saunders, P. M. (1986) The accuracy of measurement of salinity, oxygen and temperature in the deep ocean. Journal of Physical
Oceanography,16, 189195
Saunders, P. M. (1996). The ux of dense cold overow water southeast of Iceland. Journal of Physical Oceanography,26(1), 8595. https://
doi.org/10.1175/15200485(1996)026<0085:TFODCO>2.0.CO;2
Saunders, P. M. (2001). The dense northern overows. In G. Siedler, J. Church, & J. Gould (Eds.), Ocean Circulation and Climate (Vol. 77,
pp. 401417). San Diego: Academic Press. https://doi.org/10.1016/S00746142(01)801315
Schmidtko, S., Stramma, L., & Visbeck, M. (2017). Decline in global oceanic oxygen content during the past ve decades. Nature,542(7641),
335339. https://doi.org/10.1038/nature21399
Schott, F., Stramma, L., & Fischer, J. (1999). Interaction of the North Atlantic current with the deep Charlie Gibbs Fracture Zone
throughow. Geophysical Research Letters,26(3), 369372. https://doi.org/10.1029/1998GL900223
Smeed, D. A., McCarthy, G. D., Cunningham, S. A., Frajka-Williams, E., Rayner, D., Johns, W. E., Meinen, C. S., Baringer, M. O., Moat, B. I.,
Duchez, A., &Bryden, H. L. (2014). Observed decline of the Atlantic meridional overturning circulation 20042012. Ocean Science,10(1),
2938. https://doi.org/10.5194/os10292014
Smethie, W. M. Jr., & Fine, R. A. (2001). Rates of North Atlantic Deep Water formation calculated from chlorouorocarbon inventories.
Deep Sea Research Part I: Oceanographic Research Papers,48(1), 189215. https://doi.org/10.1016/S09670637(00)000480
Stramma, L., Kieke, D., Rhein, M., Schott, F., Yashayaev, I., & Koltermann, K. P. (2004). Deep water changes at the western boundary of the
subpolar North Atlantic during 1996 to 2001. Deep Sea Research Part I: Oceanograp hic Research Papers,51(8), 10331056. https://doi.org/
10.1016/j.dsr.2004.04.001
Sy, A., Rhein, M., Lazier, J. R. N., Koltermann, K. P., Meincke, J., Putzka, A., & Bersch, M. (1997). Surprisingly rapid spreading of newly
formed intermediate waters across the north Atlantic Ocean. Nature,386, 675679.
Takeshita, Y., Martz, T. R., Johnson, K. S., Plant, J. N., Gilbert, D., Riser, S. C., et al. (2013). A climatologybased quality control procedure
for proling oat oxygen data. Journal of Geophysical Research: Oceans,118, 56405650. https://doi.org/10.1002/jgrc.20399
Talley, L. D., & McCartney, M. S. (1982). Distribution and circulation of Labrador Sea water. Journal of Physical Oceanography,12(11),
11891205. https://doi.org/10.1175/15200485(1982)012<1189:DACOLS>2.0.CO;2
Talley, L. D., Pickard, E., Emery, W. J., & Swift, J. H. (2011). Descriptive physical oceanography: An introduction, (Sixth ed.p. 560).
Burlingham, MA: Elsevier. https://doi.org/10.1016/B9780750645522.100010
10.1029/2019JC015040
Journal of Geophysical Research: Oceans
RACAPÉ ET AL. 6807
Tanhua, T., Olsson, K. A., & Jeansson, E. (2005). Formation of Denmark Strait overow water and its hydrochemical composition. Journal
of Marine Systems,57(34), 264288. https://doi.org/10.1016/j.jmarsys.2005.05.003
Thierry, V., Bittig, H. Gilbert, D., Kobayashi, T., Sato, K. & Schmid, C. (2018). Processing Argo OXYGEN data at the DAC level, v2.3.1,
https://doi.org/10.13155/39795
Thierry, V., Mercier H., Petit T., Branellec P., Balem K., Lherminier P. (2018). Reykjanes Ridge Experiment (RREX) dataset. SEANOE.
https://doi.org/10.17882/55445
Tomczak, M. Jr. (1981). A multiparameter extension of temperature/ salinity diagram techniques for the analysis of nonisopycnal mixing.
Progress in Oceanography,10(3), 147171. https://doi.org/10.1016/00796611(81)900100
Tomczak, M., & Large, D. G. (1989). Optimum multiparameter analysis of mixing in the thermocline of the eastern Indian Ocean. Journal of
Geophysical Research,94(C11), 1614116149. https://doi.org/10.1029/JC094iC11p16141
Våge, K., Pickart, R. S., Sarafanov, A., Knutsen, Y., Mercier, H., Lherminier, P., et al. (2011). The irminger gyre: Circulation, convection, and
interannual variability. Deep Sea Research Part I: Oceanographic Research Papers,58(5), 590614. https://doi.org/10.1016/j.
dsr.2011.03.001
van Aken, H. M. (2000). The hydrography of the midlatitude northeast Atlantic Ocean: I: The deep water masses. Deep Sea Research Part I:
Oceanographic Research Papers,47(5), 757788. https://doi.org/10.1016/S09670637(99)000928
van Aken, H. M., & Becker, G. (1996). Hydrography and throughow in the northeastern North Atlantic Ocean: the NANSEN project.
Progress in Oceanography,38(4), 297346. https://doi.org/10.1016/S00796611(97)000050
van Aken, H. M., & de Boer, C. J. (1995). On the synoptic hydrography of intermediate and deep water masses in the Iceland Basin. Deep Sea
Research Part I: Oceanographic Research Papers,42(2), 165189. https://doi.org/10.1016/09670637(94)00042Q
Worthington, L. V., & Volkmann, G. H. (1965). The volume transport of the Norwegian Sea overow water in the North Atlantic. Deep Sea
Research and Oceanographic Abstracts,12(5), 667676. https://doi.org/10.1016/00117471(65)918656
Xu, X., Bower, A., Furey, H., & Chassignet, E. (2018). Variability of the IcelandScotland overow water transport through the Charlie
Gibbs Fracture Zone: Results from an eddying simulation and observations. Journal of Geophysical Research: Oceans,123, 58085823.
https://doi.org/10.1029/2018JC013895
Xu, X., Schmitz, W. J., Hurlburt, H. E., Hogan, P. J., & Chassignet, E. P. (2010). Transport of Nordic Seas overow water into and within the
Irminger Sea: An eddyresolving simulation and observations. Journal of Geophysical Research,115, C12048. https://doi.org/10.1029/
2010JC006351
Yashayaev, I. (2007). Hydrographic changes in the Labrador Sea, 19602005. Progress in Oceanography,73(34), 242276. https://doi.org/
10.1016/j.pocean.2007.04.015
Yashayaev, I., & Loder, J. W. (2016). Recurrent replenishment of Labrador Sea Water and associated decadalscale variability. Journal of
Geophysical Research: Oceans,121, 80958114. https://doi.org/10.1002/2016JC012046
Zou, S., Lozier, S., Zenk, W., Bower, A., & Johns, W. (2017). Observed and mod eled pathways of the Iceland Scotland Overow Water in the
eastern North Atlantic. Progress in Oceanography,159, 211222. https://doi.org/10.1016/j.pocean.2017.10.003
10.1029/2019JC015040
Journal of Geophysical Research: Oceans
RACAPÉ ET AL. 6808
... The geology of the CGFZ has been extensively studied (Johnson 1967;Fleming et al. 1970;Olivet et al. 1974;Vogt and Johnson 1975;Lonsdale and Shor 1979;Searle 1979;Chernysheva and Kharin 2009;Skolotnev et al. 2021a), as has its seismicity (Lilwall and Kirk 1985;Aderhold and Abercrombie 2016) and seafloor topography (Skolotnev et al. 2021b). The hydrological regime has been investigated using oceanographic and mooring stations (Worthington and Volkmann 1965;Shor et al. 1980;Saunders 1994;Schott et al. 1999;Dobrolyubov et al. 2003;Bower and Furey 2017;Petit 2018;Gonçalves Neto et al. 2020), hydrological buoys (Morozov et al. 2010;Racapé et al. 2019;Zou et al. 2020), and modelling (Xu et al. 2018). Recently, interest in the CGFZ has increased due to the study of its benthic fauna (Priede et al. 2013;Keogh et al. 2022 and references therein), and parts of the CGFZ have been declared a Marine Protected Area (Smith and Jabour 2018). ...
... The mean current speed of the westward-flowing ISOW is greater than 6 cm/s in the northern valley, whereas the mean current speed of the eastward-directed near-bottom water is approximately 2 cm/s in the southern valley (Bower and Furey 2017). The eastward transport may be enhanced due to deep intrusions of the eastward-flowing NAC over the CGFZ (Saunders 1994;Bower and Furey 2017;Xu et al. 2018;Racapé et al. 2019). Of note, most of the oceanographic measurements were carried out on a transect at 35°W, with the deepest measurement at approximately 3,700 m in the northern valley and 3,850 m in the southern valley that is shallower than the bottom of the valleys to the east of this transect. ...
Article
The Charlie-Gibbs Fracture Zone (CGFZ) is the main transform system in the North Atlantic Ocean. It serves as a primary deep-water gateway for the Iceland-Scotland Overflow Water (ISOW) current. Using high-resolution seismo-acoustic profiling, three types of contourite drift were identified in the valleys of the inactive fractures and active transform of the CGFZ: (1) channel-related drifts, (2) confined drift, and (3) plastered drift. The ISOW current is the main agent controlling drift formation in the northern valley and eastern part of the southern valley, while the Denmark Strait Overflow Water or Low Deep Water is suggested for the western part of the southern valley. Examination of two sediment cores shows that the contourite drifts at least at their upper parts consist of alternated muddy and silty contourites and pelagic/hemipelagic sediments. The contourite deposition corresponds to the present interglacial interval. During glacial interval (MIS 3-2) and the last glacial/interglacial transition, pelagic/hemipelagic sedimentation prevailed corresponding with high IRD input. The position of the highly productive Subarctic Front over the study area induced the formation of diatom ooze beds at the beginning of MIS 1 and high-carbonate pelagites during some intervals of MIS 3.
... It also aims to establish relationships between fluctuations of the deep meridional overturning circulation and changes in ocean temperature and salinity, and their representations in ocean reanalyses and forecasts (Johnson et al., 2015;Meyssignac et al., 2019;Gasparin et al., 2020;von Schuckmann et al., 2023;Zilberman et al. 2023). Pilot studies (Roemmich et al. 2019a) have demonstrated the readiness of the technology and Deep-Argo's ability to measure variability of deep ocean warming (Johnson et al., 2020, 2022, Desbruyères et al, 2022 and large-scale deep ocean circulation (Foppert et al., 2021;Racapé et al, 2019, Petit et al., 2022. ...
Article
Full-text available
Within the international OneArgo program, a global array of autonomous profiling floats monitoring seawater properties, the Deep-Argo mission aims to provide temperature, pressure, and salinity measurements down to the seabed with accuracy targets of ±0.001°C, ±3 dbar, and ±0.002, respectively. One of Deep-Argo’s main challenges is to achieve this level of accuracy. Three different conductivity–temperature–depth (CTDs) are available for Deep-Argo applications: the extended-depth SBE41CP, SBE61, and RBRargo|deep6k. We evaluated their performance at sea down to 4000 dbar using four Deep-Arvor floats equipped with two or three of these CTDs. Pressure differences between the sensors ranged from about 0–1 dbar near the surface to a maximum of 5 dbar at 4000 dbar. Temperature differences were within ±0.002°C below 1000 dbar. A time lapse of up to 0.5 s between sensor acquisitions occasionally led to sensor-independent temperature differences greater than ±0.002°C at the shallowest levels. Pressure differences as small as 1 dbar can induce temperature differences greater than 0.01°C in a large temperature gradient. Independent shipboard-calibrated CTD observations were used to correct, within an uncertainty of ±0.004, a pressure-dependent salinity bias found on all CTDs, as well as a salinity offset on two of them. After correction, salinity differences between the sensors were less than 0.004 below 500 dbar. They increased to 0.01 at shallower depths, as any remaining pressure-dependent errors were projected onto the surface layers. To achieve Deep-Argo’s target accuracy through the intrinsic quality of the sensors, pressure sensor accuracy and compressibility coefficient of the conductivity sensor estimates need to be improved.
... For some floats, an additional pressure correction might be necessary to reach 1-2 µmol kg −1 . This needs to be estimated from ship-based calibrated reference data (Racapé et al., 2019). The last issue concerns a timedependent lag in response to a change in DO, which affects data accuracy when sensors experience O 2 gradients during vertical float displacement. ...
Article
Full-text available
Recent estimates of the global inventory of dissolved oxygen (DO) have suggested a decrease of 2 % since the 1960s. However, due to the sparse historical oxygen data coverage, the DO inventory exhibits large regional uncertainties over the interannual timescale. Using the In Situ Analysis System for O2 (ISASO2), a new Argo DO-based optimally interpolated climatology at https://doi.org/10.17882/52367 (Kolodziejczyk et al., 2023), we have estimated an updated regional oxygen inventory. Over the long term (∼ 1980–2013), comparing the ISASO2 Argo fields with the first-guess World Ocean Atlas (WOA18) built from the DO bottle sample fields extracted from the World Ocean Database 2018 (WOD18), the broad tendency to global ocean deoxygenation remains robust in the upper 2000 m, with -451± 243 Tmol per decade. The oxygen decline is more pronounced in the key ventilation areas of the Southern Ocean and North Atlantic, except in the Nordic Seas, where oxygen has increased. Over the shorter timescale of the Argo period (2005–2019), the deoxygenation tendency seems globally amplified (-1211± 218 Tmol per decade). However, DO changes exhibit stronger amplitude and contrasting regional patterns. The recent changes in Apparent Oxygen Utilization mainly explain the interannual variability in the ventilation regions. However, Argo DO coverage is still incomplete as global and calibration method development is still in progress. Continuing the monitoring of the seasonal-to-interannual and regional-to-global DO variability from ISASO2 will improve our ability to reduce uncertainties in global and regional DO inventories.
... Although previous work has investigated effective sampling of temperature using a Deep Argo Array (Johnson et al., 2015) and shown the value of these acquisitions in data assimilating systems (Gasparin et al., 2020), a sampling protocol for deep oxygen on Deep Argo floats has yet to undergo rigorous design. Key questions to answer include determining suitable parking depths to assign for monitoring changing water mass characteristics (Racape et al., 2019) while minimizing drift outside of deep ocean regions (Zilberman et al., 2020), suitable 4,000-meter and 6,000-meter capable float populations, and necessary profile density for monitoring key spacetime variability. Consideration of oxygen as a 10th planetary boundary (Rose et al., 2024) and development of a global ocean oxygen database and atlas (GO2-DAT, Gregoire et al., 2021) emphasize the critical need for global deep ocean oxygen data. ...
Article
Full-text available
Introduction A defining aspect of the Intergovernmental Panel on Climate Change (IPCC) assessment reports (AR) is a formal uncertainty language framework that emphasizes higher certainty issues across the reports, especially in the executive summaries and short summaries for policymakers. As a result, potentially significant risks involving understudied components of the climate system are shielded from view. Methods Here we seek to address this in the latest, sixth assessment report (AR6) for one such component—the deep ocean—by summarizing major uncertainties (based on discussions of low confidence issues or gaps) regarding its role in our changing climate system. The goal is to identify key research priorities to improve IPCC confidence levels in deep ocean systems and facilitate the dissemination of IPCC results regarding potentially high impact deep ocean processes to decision-makers. This will accelerate improvement of global climate projections and aid in informing efforts to mitigate climate change impacts. An analysis of 3,000 pages across the six selected AR6 reports revealed 219 major science gaps related to the deep ocean. These were categorized by climate stressor and nature of impacts. Results Half of these are biological science gaps, primarily surrounding our understanding of changes in ocean ecosystems, fisheries, and primary productivity. The remaining science gaps are related to uncertainties in the physical (32%) and biogeochemical (15%) ocean states and processes. Model deficiencies are the leading cited cause of low certainty in the physical ocean and ice states, whereas causes of biological uncertainties are most often attributed to limited studies and observations or conflicting results. Discussion Key areas for coordinated effort within the deep ocean observing and modeling community have emerged, which will improve confidence in the deep ocean state and its ongoing changes for the next assessment report. This list of key “known unknowns” includes meridional overturning circulation, ocean deoxygenation and acidification, primary production, food supply and the ocean carbon cycle, climate change impacts on ocean ecosystems and fisheries, and ocean-based climate interventions. From these findings, we offer recommendations for AR7 to avoid omitting low confidence-high risk changes in the climate system.
... The recent implementation of Deep Argo floats that measure temperature, salinity, and pressure as they profile between the sea surface and as deep as 6,000-dbar has afforded a new way of studying the deep-ocean (Roemmich, Alford, et al., 2019;Roemmich, Sherman, et al., 2019;Zilberman, Thierry, et al., 2023). However, the spatial coverage of Deep Argo is presently restricted to a small number of regional pilot arrays (e.g., Desbruyères et al., 2022;Johnson, 2022;Johnson et al., 2019Johnson et al., , 2020Petit et al., 2022;Racapé et al., 2019;Thomas et al., 2020;Zilberman et al., 2020). ...
Article
Full-text available
The deep western boundary current (DWBC) of the Southwest Pacific Basin (SWPB) is the main pathway through which the deep and bottom waters formed around Antarctica are transported northward and distributed throughout the Pacific Ocean. However, historical observations of this current are sparse. Here, we used an unprecedented number of deep‐ocean observations collected by Deep Argo floats since 2016 to examine temperature, salinity, and velocity in the DWBC of the SWPB. Deep Argo trajectory velocities were fastest along the western side of the Kermadec Trench, with an average velocity of 0.057±0.012 0.057±0.0120.057\pm 0.012 m s⁻¹. Trajectories confirmed the existence of a tight recirculation on the eastern side of the Kermadec Trench (−0.021±0.008 0.021±0.008{-}0.021\pm 0.008 m s⁻¹). This recirculation was likewise seen in an independent eddy‐resolving ocean reanalysis. For the DWBC within the northern Kermadec Trench (26–30°S), Deep Argo profiles and the ocean reanalysis demonstrated seasonal isopycnal heaving of the deep‐ocean that was likely driven by local Ekman pumping and may influence seasonal DWBC transport. At the northern end of the Kermadec Trench, the deep‐ocean salinity maximum was eroded as the DWBC exited the trench to the north through the Louisville Seamount Chain collision zone, thus revealing a previously unidentified region of enhanced deep‐ocean mixing. Although Deep Argo observations accurately estimated vertical turbulent diffusivity in the Samoan Passage (6.1 × ×{\times} 10⁻³ to 1.57 × ×{\times} 10⁻² m² s⁻¹), mixing within the Louisville Seamount Chain collision zone was not due solely to vertical turbulent diffusivity. A global Deep Argo array could reveal wind‐driven seasonal heaving and unexplored deep‐ocean mixing hotspots in other DWBCs.
... Although previous work has investigated effective sampling of temperature using a Deep Argo Array (Johnson et al., 2015) and shown the value of these acquisitions in data assimilating systems (Gasparin et al., 2020), a sampling protocol for deep oxygen on Deep Argo floats has yet to undergo rigorous design. Key questions to answer include determining suitable parking depths to assign for monitoring changing water mass characteristics (Racape et al., 2019) while minimizing drift outside of deep ocean regions (Zilberman et al., 2020), suitable 4,000-meter and 6,000-meter capable float populations, and necessary profile density for monitoring key spacetime variability. Consideration of oxygen as a 10th planetary boundary (Rose et al., 2024) and development of a global ocean oxygen database and atlas (GO2-DAT, Gregoire et al., 2021) emphasize the critical need for global deep ocean oxygen data. ...
... Fracture zones show high species diversity was observed on the steep slopes and rocks [74]. The geomorphological elements with steep vertical walls [25] of the close by fracture zone also in uence sea oor diversity by potentially channeling ocean currents, increasing food availability and thus improving conditions for lter-feeders at the surrounding abyssal plains (21,75,76]. ...
Preprint
Full-text available
The depths of the North Atlantic Ocean host a species-rich fauna providing heterogeneous habitats from thermal vent fields to cold-water coral reefs. With the increasing threat of destruction of deep-sea habitats due to human impacts, such as demersal fishing and the beginning of deep-sea mining, an analysis of the diversity and distribution of species is crucial for conservation efforts. Brittle stars occur in high biomasses, contributing to the biodiversity of the seafloor. We collected specimens during several scientific expeditions to gain a more detailed insight into the brittle star diversity in the North Atlantic Ocean. The integrative approach to identify the species with DNA barcoding (mtCOI) in combination with morphological studies revealed 24 species. Most species are previously known from the North Atlantic, but sequences for 13 species are newly added to public repositories. Additionally, we successfully applied the MALDI-TOF-MS proteomic analysis for 196 specimens with known COI barcodes. This results in a congruent species delimitation demonstrating the functionality of proteomics for identification of brittle stars. This dataset significantly expands our understanding of the taxonomic and genetic diversity and contributes to publicly available data. It emphasizes the importance of considering habitat heterogeneity for large scale patterns of biodiversity.
... Only data adjusted in delayed mode with a quality flag of 1 or 2 (good or probably good data) 51 were used in our analysis (Supplementary Table 1). The accuracy of the data is assumed to be 0.002°C, 0.01, and 2.4 dbar for temperature, salinity, and pressure, respectively 52 , and better than 3 μmol kg −1 for oxygen 53 . ...
Article
Full-text available
The subpolar North Atlantic (SPNA) is a region of high anthropogenic CO2 (Cant) storage per unit area. Although the average Cant distribution is well documented in this region, the Cant pathways towards the ocean interior remain largely unresolved. We used observations from three Argo-O2 floats spanning 2013-2018 within the SPNA, combined with existing neural networks and back-calculations, to determine the Cant evolution along the float pathways from a quasi-lagrangian perspective. Our results show that Cant follows a stepwise deepening along its way through the SPNA. The upper subtropical waters have a stratified Cant distribution that homogenizes within the winter mixed layer by Subpolar Mode Water formation in the Iceland Basin. In the Irminger and Labrador Basins, the high-Cant footprint (> 55 μmol kg−1) is mixed down to 1400 and 1800 dbar, respectively, by deep winter convection. As a result, the maximum Cant concentration is diluted (<45 μmol kg−1). Our study highlights the role of water mass transformation as a first-order mechanism for Cant penetration into the ocean. It also demonstrates the potential of Argo-O2 observations, combined with existing methods, to obtain reliable Cant estimates, opening ways to study the oceanic Cant content at high spatio-temporal resolution.
Article
Full-text available
The depths of the North Atlantic Ocean host a species-rich fauna providing heterogeneous habitats from thermal vent fields to cold-water coral reefs. With the increasing threat of destruction of deep-sea habitats due to human impacts, such as demersal fishing and the beginning of deep-sea mining, an analysis of the diversity and distribution of species is crucial for conservation efforts. Brittle stars occur in high biomasses, contributing to the biodiversity of the seafloor. Specimens were collected during several scientific expeditions to gain a more detailed insight into the brittle star diversity in the North Atlantic Ocean. An integrative approach to identify the species with DNA barcoding (mtCOI) in combination with morphological studies revealed 24 species. Most species have been previously identified in the North Atlantic, but sequences for 13 species are newly added to public repositories. Additionally, the MALDI-TOF-MS proteomic analysis was successfully applied for 197 specimens with known COI barcodes. Results are congruent with other molecular species delimitations demonstrating the functionality of proteomics for the identification of brittle stars. This dataset significantly expands our understanding of the taxonomic and genetic diversity of brittle stars and contributes to publicly available data. It emphasizes the importance of considering habitat heterogeneity for large scale patterns of biodiversity.
Article
Full-text available
An array of overturning data The Atlantic meridional overturning circulation (AMOC) has a strong influence on climate, so it is important to understand how global warming may affect it. Lozier et al. report initial results from the Overturning in the Subpolar North Atlantic Program (OSNAP) (see the Perspective by Rhein). OSNAP has been measuring the flux of water transported by overturning in the high latitudes in the North Atlantic. The measurements reveal the strong variability of transport in the region and show that deep water formation in the Labrador Sea may not, as previously believed, be the major determinant of AMOC variability. Science , this issue p. 516 ; see also p. 456
Article
Full-text available
The Reykjanes Ridge is a major topographic feature located south of Iceland in the North-Atlantic Ocean that strongly influences the subpolar gyre (SPG) circulation. Based on velocity and hydrographic measurements carried out along the crest of the Reykjanes Ridge from the Icelandic continental shelf to 50°N during the RREX cruise in June – July 2015, we derived the first direct estimates of volume and water mass transports over the Reykjanes Ridge. North of 53.15°N, circulation was mainly westward; south of this latitude it was mainly eastward. The westward transport was estimated at 21.9 ± 2.5 Sv (Sv = 106 m3 s-1) and represents the SPG intensity. The westward flows followed two main pathways at 57°N near the Bight Fracture Zone and at 59 – 62°N. We argue that those pathways were connected to the northern branch of the North Atlantic Current and to the Sub-Arctic Front respectively, which were both intersected by the southern part of the section. In addition to this horizontal circulation, mixing and bathymetry shaped the water mass distribution. Water mass transformations in the Iceland Basin lead to the formation of weakly stratified SubPolar Mode Water (SPMW). We explain why SPMW, the main water mass contributing to the westward flow, was denser at 57°N than at 59 – 62°N. At higher densities, both Intermediate Water and Icelandic Slope Water contributed more to the westward transport across the Reykjanes Ridge than the sum of Labrador Sea Water and Iceland-Scotland Overflow Water.
Article
Full-text available
Observations show that the westward transport of the Iceland-Scotland overflow water (ISOW) through the Charlie-Gibbs Fracture Zone (CGFZ) is highly variable. This study examines (a) where this variability comes from and (b) how it is related to the variability of ISOW transport at upstream locations in the Iceland Basin and other ISOW flow pathways. The analyses are based on a 35-year 1/12° eddying Atlantic simulation that represents well the main features of the observed ISOW in the area of interest, in particular, the transport variability through the CGFZ. The results show that (a) the variability of the ISOW transport is closely correlated with that of the barotropic transports in the CGFZ associated with the meridional displacement of the North Atlantic Current front and is possibly induced by fluctuations of large-scale zonal wind stress in the Western European Basin east of the CGFZ; (b) the variability of the ISOW transport is increased by a factor of 3 from the northern part of the Iceland Basin to the CGFZ region and transport time series at these two locations are not correlated, further suggesting that the variability at the CGFZ does not come from the upstream source; and (c) the variability of the ISOW transport at the CGFZ is strongly anticorrelated to that of the southward ISOW transport along the eastern flank of the Mid-Atlantic Ridge, suggesting an out-of-phase covarying transport between these two ISOW pathways.
Article
Full-text available
The Atlantic Meridional Overturning Circulation (AMOC) has been observed continuously at 26° N since April 2004. The AMOC and its component parts are monitored by combining a transatlantic array of moored instruments with submarine-cable based measurements of the Gulf Stream and satellite derived Ekman transport. The time series has recently been extended to October 2012 and the results show a downward trend since 2004. From April~2008 to March 2012 the AMOC was an average of 2.7 Sv weaker than in the first four years of observation (95% confidence that the reduction is 0.3 Sv or more). Ekman transport reduced by about 0.2 Sv and the Gulf Stream by 0.5 Sv but most of the change (2.0 Sv) is due to the mid-ocean geostrophic flow. The change of the mid-ocean geostrophic flow represents a strengthening of the subtropical gyre above the thermocline. The increased southward flow of warm waters is balanced by a decrease in the southward flow of Lower North Atlantic Deep Water below 3000 m. The transport of Lower North Atlantic Deep Water slowed by 7% per year (95% confidence that the rate of slowing is greater than 2.5% per year).
Article
Full-text available
The decadal mean circulation in the northern North Atlantic was assessed for the early 21st century from repeated ship-based measurements along the Greenland-Portugal OVIDE line, from satellite altimetry and from earlier reported transports across 59.5°N and at the Greenland-Scotland sills. The remarkable quantitative agreement between all data sets allowed us to draw circulation pathways with a high level of confidence. The North Atlantic Current (NAC) system is composed of three main branches, referred to as the northern, central and southern branches, which were traced from the Mid-Atlantic Ridge (MAR), to the Irminger Sea, the Greenland-Scotland Ridge and the subtropical gyre. At OVIDE, the northern and central branches of the NAC fill the whole water column and their top-to-bottom integrated transports were estimated at 11.0 ± 3 Sv and 14.2 ± 6.4 Sv (1 Sv = 106 m3 s−1), respectively. Those two branches feed the cyclonic circulation in the Iceland Basin and the flow over the Reykjanes Ridge into the Irminger Sea. This cross-ridge flow was estimated at 11.3 ± 4.2 Sv westward, north of 58.5°N. The southern NAC branch is strongly surface-intensified and most of its top-to-bottom integrated transport, estimated at 16.6 ± 2 Sv, is found in the upper layer. It is composed of two parts: the northern part contributes to the flow over the Rockall Plateau and through the Rockall Trough toward the Iceland-Scotland Ridge; the southern part feeds the anticyclonic circulation toward the subtropical gyre. Summing over the three NAC branches, the top-to-bottom transport of the NAC across OVIDE was estimated at 41.8 ± 3.7 Sv. Because of the surface-intensification of the southern NAC branch, the intermediate water is transported to the northeast Atlantic mostly by the northern and central branches of the NAC (11.9 ± 1.8 Sv eastward). This water circulates cyclonically in the Iceland Basin and anticyclonically in the West European Basin, with similar transport intensities. In the deep layer of the Iceland Basin, Iceland-Scotland Overflow Water (ISOW) spreads southwestward along three pathways on the eastern flank of the Reykjanes Ridge. The associated transport was estimated at 3.2 ± 0.4 Sv. The two shallowest pathways turn around the Reykjanes Ridge toward the Irminger Sea where they head northward. A northeastward transport of deep water is observed in the deep extension of the northern and central branches of the NAC, east of the MAR. In the Irminger Sea our transport estimates for the Irminger Current, Irminger Gyre, East Greenland Irminger Current and Deep Western Boundary Current are in line with previous work.
Article
The Charlie-Gibbs Fracture Zone (CGFZ), a deep and wide gap in the Mid-Atlantic Ridge near 52°N, is a gateway between the eastern and western subpolar regions for the Atlantic Meridional Overturning Circulation (AMOC). In 2010-2012, an eight-mooring array of current meters and temperature/salinity sensors was installed across the CGFZ between 500 m and the sea floor to measure the mean transport of westward-flowing Iceland-Scotland Overflow Water (ISOW), and investigate the impact of the eastward-flowing North Atlantic Current (NAC) on ISOW transport variability. The 22-month record mean ISOW transport through the CGFZ, -1.7 ± 0.5 Sv (95% confidence interval), is 30% lower than the previously published estimate based on 13 months of current-only measurements, -2.4 Sv ± 1.2 Sv [Saunders, 1994]. The latter mean estimate may have been biased high due to the lack of continuous salinity measurements, although the two estimates are not statistically different due to strong mesoscale variability in both data sets. Empirical Orthogonal Function analysis and maps of satellite-derived absolute dynamic topography show that weak westward ISOW transport events and eastward reversals, are caused by northward meanders of the NAC, with its deep-reaching eastward velocities. These results add to growing evidence that a significant fraction of ISOW exits the Iceland Basin by routes other than the CGFZ.
Article
Ocean models predict a decline in the dissolved oxygen inventory of the global ocean of one to seven per cent by the year 2100, caused by a combination of a warming-induced decline in oxygen solubility and reduced ventilation of the deep ocean. It is thought that such a decline in the oceanic oxygen content could affect ocean nutrient cycles and the marine habitat, with potentially detrimental consequences for fisheries and coastal economies. Regional observational data indicate a continuous decrease in oceanic dissolved oxygen concentrations in most regions of the global ocean, with an increase reported in a few limited areas, varying by study. Prior work attempting to resolve variations in dissolved oxygen concentrations at the global scale reported a global oxygen loss of 550 ± 130 teramoles (1012 mol) per decade between 100 and 1,000 metres depth based on a comparison of data from the 1970s and 1990s. Here we provide a quantitative assessment of the entire ocean oxygen inventory by analysing dissolved oxygen and supporting data for the complete oceanic water column over the past 50 years. We find that the global oceanic oxygen content of 227.4 ± 1.1 petamoles (1015 mol) has decreased by more than two per cent (4.8 ± 2.1 petamoles) since 1960, with large variations in oxygen loss in different ocean basins and at different depths. We suggest that changes in the upper water column are mostly due to a warming-induced decrease in solubility and biological consumption. Changes in the deeper ocean may have their origin in basin-scale multi-decadal variability, oceanic overturning slow-down and a potential increase in biological consumption.
Article
Winter convective overturning in the Labrador Sea reached an “aggregate” maximum depth of 1700m in 2015 – the deepest since 1994 – with the resulting Labrador Sea Water (LSW) “year class” being one of the deepest and thickest observed outside of the early 1990s. Argo float, annual survey and moored measurements in recent decades provide an unprecedented view of important seasonal, interannual and longer-term LSW variability in the Labrador Sea region. During the 2002-2015 “Argo” era, the average winter LSW pycnostad volume was about 70% larger in relatively strong convection years than in relatively weak ones. However, the winter-to-fall LSW disappearance volume was 180% larger, pointing to a factor of 2.8 difference in the potential LSW export rates from the region between relatively strong and weak convection years. Intermittently recurrent deep convection is contributing to predominant decadal-scale variations in intermediate-depth temperature, salinity and density in the LS, with implications for decadal-scale variability across the subpolar North Atlantic and potentially in the Atlantic Meridional Overturning Circulation. Comparison of the LS ocean heat content changes and cumulative surface heat losses during the fall-winter cooling seasons indicates that anomalously strong winter atmospheric cooling, associated at least in part with the North Atlantic Oscillation, is continuing to be a major forcing of the recurrent convection. This article is protected by copyright. All rights reserved.