of 10
ARTICLE
Ross Gyre variability modulates oceanic heat
supply toward the West Antarctic continental shelf
Channing J. Prend
1,2
, Graeme A. MacGilchrist
3,4
, Georgy E. Manucharyan
1
, Rachel Q. Pang
3
,
Ruth Moorman
2
, Andrew F. Thompson
2
, Stephen M. Grif
fi
es
3,5
, Matthew R. Mazloff
6
, Lynne D. Talley
6
&
Sarah T. Gille
6
West Antarctic Ice Sheet mass loss is a major source of uncertainty in sea level projections.
The primary driver of this melting is oceanic heat from Circumpolar Deep Water originating
offshore in the Antarctic Circumpolar Current. Yet, in assessing melt variability, open ocean
processes have received considerably less attention than those governing cross-shelf
exchange. Here, we use Lagrangian particle release experiments in an ocean model to
investigate the pathways by which Circumpolar Deep Water moves toward the continental
shelf across the Paci
fi
c sector of the Southern Ocean. We show that Ross Gyre expansion,
linked to wind and sea ice variability, increases poleward heat transport along the gyre
s
eastern limb and the relative fraction of transport toward the Amundsen Sea. Ross Gyre
variability, therefore, in
fl
uences oceanic heat supply toward the West Antarctic continental
slope. Understanding remote controls on basal melt is necessary to predict the ice sheet
response to anthropogenic forcing.
https://doi.org/10.1038/s43247-024-01207-y
OPEN
1
School of Oceanography, University of Washington, Seattle, WA, USA.
2
Environmental Science and Engineering, California Institute of Technology,
Pasadena, CA, USA.
3
Atmospheric and Oceanic Sciences Program, Princeton University, Princeton, NJ, USA.
4
School of Earth and Environmental Sciences,
University of St Andrews, St Andrews, UK.
5
NOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA.
6
Scripps Institution of Oceanography,
University of California San Diego, La Jolla, CA, USA.
email:
cprend@uw.edu
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1
1234567890():,;
A
ccelerated mass loss from the Antarctic Ice Sheet (AIS)
has been observed in recent years
1
,
2
, and could contribute
up to one meter of global sea-level rise by the end of the
century
3
. Determining its drivers is crucial to improve future sea-
level and climate projections; however, ice shelf melt exhibits
notable spatiotemporal variability
4
. AIS melt has long been linked
to oceanic heat from intrusions of warm Circumpolar Deep
Water (CDW) onto the continental shelf
5
8
. Consequently,
numerous studies have investigated on-shelf CDW transport
variability, which is typically attributed to climate-driven wind
anomalies
9
13
. However, cross-shelf exchange is only one factor
controlling the total heat supply to the ice shelf cavities. CDW
delivery to the AIS also depends on the offshore heat reservoir
adjacent to the shelf break, as well as the circulation and water-
mass transformations on the shelf
14
16
. The remote pathways that
transfer CDW from the core of the Antarctic Circumpolar Cur-
rent (ACC) to the continental slope, and their potential impact on
melt rate variability, remain relatively unexplored
17
.
Observational studies of CDW transport toward the AIS have
typically focused on speci
fi
c regions, dictated by data
availability
18
20
, while circumpolar investigations have relied on
models and often quantify the heat
fl
ux across a speci
fi
c
isobath
21
23
. These studies have emphasized the spatial variability
in continental shelf hydrography and its relationship to basal
melting. For example, in the Paci
fi
c sector, the Ross and
Amundsen/Bellingshausen Seas are often categorized as cold and
warm continental shelves, respectively
24
26
. This is re
fl
ected in
the minimal mass loss of the Ross Ice Shelf compared to the West
Antarctic Ice Sheet (WAIS)
14
,
27
,
28
. Therefore, determining the
processes that control changes in continental shelf heat content is
necessary to predict future AIS mass loss. For instance, melt rates
at Pine Island and Thwaites glaciers, as well as Dotson Ice Shelf,
have been shown to respond to wind-driven
fl
uctuations in CDW
supply to the Amundsen Sea Embayment at seasonal, inter-
annual, and decadal timescales
29
33
. More recently, it was sug-
gested that the Amundsen and Bellingshausen continental shelves
are sensitive to offshore CDW properties, which are in
fl
uenced by
the large-scale atmospheric and oceanic circulations
17
. However,
the mechanisms that connect open ocean variability with changes
in continental shelf properties and ice shelf mass loss are not well
constrained.
Here, we investigate remote controls on oceanic heat delivery
to the AIS by characterizing CDW pathways from the ACC to the
continental slope, which precede on-shelf heat transport
15
,
22
,
23
.
Using Lagrangian particle release experiments in a state estimate
with active mesoscale eddies
34
, we show that changes in the
extent and strength of the Ross Gyre mediate the magnitude and
distribution of CDW transport toward the continental shelf
throughout the Paci
fi
c sector of the Southern Ocean. Gyre
expansion is associated with an increased southward
fl
ux of CDW
via the gyre
s eastern limb and a greater fraction of the heat
associated with this layer moving toward the Amundsen and
Bellingshausen Seas. The off-shelf heat availability to the WAIS is,
therefore, regulated by interannual variations in the gyre circu-
lation, which are caused by large-scale changes in the winds and
sea ice state. Ultimately, heat delivery to the ice shelf cavities will
also depend on the cross-shelf exchange and shelf
circulation
15
,
16
,
35
. Still, the Ross Gyre, despite its distance from
the WAIS, may be important to understanding the ice sheet
s
response to changes in forcing
36
.
Results
Ross Gyre variability
. The cyclonic Ross Gyre is forced by a
clockwise (negative) wind stress curl and dominates the circula-
tion south of the ACC in the western Paci
fi
c sector of the
Southern Ocean
37
,
38
. The gyre acts as a conduit between the open
ocean and the Antarctic margins, carrying CDW poleward to the
continental slope on its eastern edge and exporting shelf waters
equatorward along its western
fl
ank
39
. Given the dif
fi
culty of
collecting in situ observations in this vast, seasonally ice-covered
region, our understanding of the gyre dynamics stems primarily
from satellite altimetry and numerical models
40
42
. In this work,
we combine available observations with a dynamically consistent
model by analyzing the Biogeochemical Southern Ocean State
Estimate (B-SOSE)
34
, a data-assimilating simulation that con-
strains a general circulation model with satellite and hydro-
graphic measurements. The con
fi
guration used here has 1/6
nominal resolution ( ~ 8 km) and covers the period from 2013 to
2018 (Methods). Earlier iterations of this model have been used to
investigate Ross Gyre transport and its relationship to the ther-
mohaline structure of the region
38
,
43
. As such, we have con-
fi
dence in the model
s representation of the gyre circulation. For
example, the expression of the gyre is visible from its relatively
cold temperature on CDW isopycnal surfaces
44
(Fig.
1
a).
De
fi
ning a precise gyre boundary is nontrivial. From altimetry,
the boundary is typically derived from dynamic ocean
topography
37
,
40
, or implicitly the surface geostrophic
fl
ow. Here,
we leverage the model
s additional subsurface information by
determining the gyre extent from a speci
fi
c contour (
8
Sverdrup) of the barotropic streamfunction
38
, which represents
the depth-integrated volume transport and is calculated from the
model velocity
fi
eld (Methods). The position of the gyre is
bounded to the south by the continental slope and to the north
and west by the Paci
fi
c-Antarctic Ridge (Fig.
1
b). In fact, the
interaction of the ACC with bathymetry both enables the
formation of a gyre and in
fl
uences its circulation and transport
properties
41
,
42
. Bottom pressure torques associated with bathy-
metric features, for example, are thought to be necessary to close
the barotropic vorticity budget in the region
45
. While the gyre is
topographically constrained for much of its course, the separation
of the
fl
ow from the Paci
fi
c-Antarctic Ridge permits much greater
variability in the gyre
s eastern limb until the
fl
ow meets the
Marie Byrd seamounts around 68
S, 130
W. (Fig.
1
b). This
eastern boundary steers warm CDW southward toward the
continental shelf. Therefore,
fl
uctuations in its position could
alter oceanic heat delivery to the shelf break.
The strength and structure of the Ross Gyre respond to
changes in the ocean surface stress
37
,
40
, which is the force applied
to the sea surface by winds and sea ice (Methods). Satellite data
suggest that changes in the ocean surface stress curl cause the gyre
to
fl
uctuate at both seasonal and interannual timescales, with the
leading mode of variability being linked to atmospheric forcing by
the Antarctic Oscillation (or Southern Annular Mode)
40
. B-SOSE
shows similar amplitude variations in gyre transport and area,
which are highly correlated to the ocean surface stress curl over
the central gyre (Fig.
2
a; Supplementary Figs. 1, 2). The high
correlation (r
=
0.73) at monthly timescales indicates that the
barotropic response to the ocean surface stress curl is nearly
instantaneous. While the relationship between the strength of the
forcing and the gyre transport is straightforward, the mechanisms
that set the location of the gyre
s eastern boundary, and associated
variations in southward CDW transport, are less clear.
To characterize the impact of interannual variations in Ross
Gyre dynamics on poleward heat
fl
ux, we select 2014 and 2018
(hereafter referred to as end-member years) as case studies of
contracted and expanded gyre states, respectively. The contrast
between these years is re
fl
ected in the barotropic streamfunction,
which exhibits substantial differences in magnitude and extent
(Fig.
2
b, c). The gyre
s northern and southern boundaries track
f
/
h
contours, where
f
is the Coriolis parameter and
h
is depth.
Greater cyclonic vorticity input by the winds in 2018, which is
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enabled by anomalously low sea ice concentrations in that year
(Supplementary Fig. 3), spins up the gyre and shifts its outer
bound to an
f
/
h
value that is larger in magnitude (black contours
in Fig.
2
b, c). This corresponds to a more northward separation of
the
fl
ow from the Paci
fi
c-Antarctic Ridge and an eastward shift of
the gyre
s eastern boundary (blue shading in Fig.
2
c). Down-
stream of the separation, the current crosses
f
/
h
contours, similar
to standing meander regions in the ACC
46
. Just as meander
curvature is related to the forcing strength
46
, we suggest that the
length of the gyre
s barotropic streamlines should scale with the
ocean surface stress curl. In other words, the eastern limb of the
gyre can extend further when there is greater vorticity input by
the winds. This, in turn, affects the location where heat moves
toward the continental shelf.
Interannual
fl
uctuations in gyre size co-occur with temperature
and pressure anomalies on CDW isopycnal surfaces (Fig.
3
). The
annual mean temperature anomaly (relative to the 2013
2018
mean) on the 27.9 neutral density (
γ
n
) surface displays opposing
patterns between the end-member years (Fig.
3
a, c). The
temperature properties of the CDW water mass itself do not
vary on these timescales. Therefore, the isopycnic temperature
anomalies indicate redistribution of heat within the system. For
example, a stronger gyre is associated with cold anomalies in the
gyre interior and warm anomalies on the Amundsen continental
shelf (Fig.
3
a, c). This warming of the Amundsen Sea Embayment
connects smoothly to offshore anomalies (Fig.
3
b, d). Indeed, the
offshore heat reservoir adjacent to the Amundsen undergoes a
multi-year warming that is driven by a zonal heat transport
convergence consistent with enhanced supply of gyre-sourced
waters (Supplementary Fig. 4). We note that gyre anomalies
cannot be instantaneously communicated to the shelf, and the
temperature changes on the shelf will necessarily also re
fl
ect
variations in onshore CDW transport. Still,
fl
uctuations in the
offshore temperature could in
fl
uence the continental shelf heat
content, but have received little attention previously
17
. To probe
the gyre-shelf connection further, we conducted a series of
Lagrangian particle release experiments to test how changes in
gyre state modify the pathways of CDW transport from the ACC
to the continental slope.
Particle pathways
. The
fi
rst set of experiments involves releasing
particles on CDW density surfaces at different locations along the
continental slope and running them backward in time over the
full 6-year model run to diagnose where the waters originated
Fig. 1 Circumpolar Deep Water temperature and time-varying Ross Gyre boundary.
2013
2018 mean
a
temperature (shading) and velocity (pink arrows)
on the
γ
n
=
27.9 kg m
3
neutral density surface, which corresponds to the core of the Circumpolar Deep Water layer in the model (the white region in the
central Ross shelf is where the density surface outcrops), and
b
sea surface height (shading) and Ross Gyre boundary (green contour), as well as monthly
realizations of the gyre boundary (white contours), which is de
fi
ned by the
8 Sverdrup contour of the barotropic streamfunction. In both panels, black
contours mark bathymetry in 1000 m intervals with the 1000 m isobath plotted thicker to indicate the approximate location of the Antarctic Slope Front
.
Brown lines denote the Polar Front (PF) and Southern Boundary of the Antarctic Circumpolar Current (Sbdy)
60
, a brown star marks the Marie Byrd
seamounts, and a brown triangle and square mark the locations of Thwaites and Pine Island glaciers, respectively.
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(Methods). This is intended to contextualize past studies on
cross-shelf exchange, which have focused on transport across the
1000 m isobath
15
,
22
. Comparing release locations in the Ross and
Amundsen Seas (Supplementary Fig. 5) illustrates the gyre
s role
in poleward heat transfer. CDW moves south along the eastern
fl
ank of the gyre and separates into two distinct streams where the
fl
ow bifurcates around the Marie Byrd seamounts. One of these
streams follows the gyre
s westward near-slope
fl
ow, while the
other proceeds to the southeast toward the Amundsen con-
tinental shelf. These two routes are associated with different
timescales and degrees of watermass transformation. Particles
that end up in the Ross Sea have cooled substantially after the
fl
ow bifurcates, while particles that enter the Amundsen Sea
contain relatively unmodi
fi
ed CDW (Fig.
4
d). These results
support the role of far-
fi
eld processes in setting the distinct
hydrographic characteristics of the Ross and Amundsen con-
tinental shelves
24
.
To assess how particle pathways are affected by gyre variability,
we conducted two additional experiments based around the
strong and weak end-member years. Namely, we used the same
release locations and 6-year backward integration, but looped the
model velocity output from 2014 and 2018 to represent cases
where the gyre is
fi
xed in a contracted and expanded state. It
should be noted that particles take several years to move from the
ACC to the continental slope, so these looped scenarios do not
re
fl
ect realistic trajectories. Nevertheless, they provide
Fig. 2 Ross Gyre structure, variability, and forcing. a
Monthly time series of gyre strength (blue), de
fi
ned as the mean value of the barotropic
streamfunction within the
8 Sverdrup contour (which is outlined in purple in
b
,
c
), and ocean surface stress curl (black) averaged over the central gyre
(140 to 152
W, 70 to 73
S, see Supplementary Fig. 1). A dashed horizontal line marks the mean gyre strength over the full record and error bars denote the
standard error.
b
2014 (weak gyre) and
c
2018 (strong gyre) mean barotropic streamfunction (shading), with
f
/
h
contours overlaid (black). A pink star
shows the location of the Marie Byrd seamounts.
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mechanistic insight into how gyre extent affects the particle
pathways. An expanded and strengthened gyre (Fig.
4
c) provides
a closer connection between the gyre
s eastern limb and the
Amundsen Sea, which results in more unmodi
fi
ed CDW from the
ACC reaching the continental slope (Fig.
4
d). A stronger gyre also
more directly links the open ocean and the Ross continental shelf,
with less meandering and mixing of waters in the near-slope
fl
ow
after the bifurcation at the Marie Byrd seamounts. This linkage is
evidenced by the shift toward zero in the probability density
function of cumulative temperature change along a trajectory
(Fig.
4
d).
In order to quantify the partitioning of particles between the
two routes, we conducted a forward particle release experiment
along a transect that extends from 130 to 135
Wat67
S
capturing the core of the gyre
s eastern limb. The meridional heat
transport through this transect exhibits interannual variability,
with a greater southward
fl
ux throughout the CDW density layer
in 2018, when the gyre was stronger (Fig.
5
b). The increased heat
transport is primarily due to the higher current speeds associated
with a stronger gyre, rather than changes in the temperature
pro
fi
le itself (Supplementary Fig. 6). Differences in gyre state also
lead to changes in the pathways of poleward
fl
ow. This can be
seen by comparing trajectories from particles that were advected
by the 2014 (Fig.
5
a) and 2018 (Fig.
5
c) velocity
fi
elds, using the
same looping technique described previously. Gyre expansion
favors the movement of particles toward the Amundsen Sea
(Fig.
5
c), as compared to the mean state (Supplementary Fig. 7).
To demonstrate the redistribution of particles between the two
streams around the Marie Byrd seamounts, we can examine the
fraction of particles that travel eastward from their initial release
location along the transect, which varies greatly in depth and
between the end-member years (Fig.
5
d). For particles seeded
between 400 and 800 m, corresponding to Upper CDW, an
expanded gyre roughly doubles the percentage of trajectories that
move toward the Amundsen and Bellingshausen continental
shelves. This reorganization is linked to changes in the position of
the gyre
s eastern limb, especially the location where it meets the
Marie Byrd seamounts, which controls the bifurcation of the
fl
ow.
Furthermore, the substantial depth dependence of the partition-
ing implies that the
fl
ow is not barotropic. In particular, the
relatively abrupt change within the thermocline ( ~ 700 m in
Fig.
5
d) suggests that this is a
fi
rst baroclinic mode response. The
gyre
s baroclinic structure is largely unknown since our under-
standing of the gyre dynamics stems primarily from satellite
altimetry
37
,
40
. While the variability in gyre strength is well-
explained by the rapid barotropic response to changes in ocean
surface stress curl (Fig.
2
a), the Lagrangian trajectories suggest
that baroclinic adjustments can be important at longer (multi-
year) timescales.
Conclusions
Predicting future WAIS melt is crucial to constrain sea-level rise
projections
3
, which, in turn, inform policy to address climate
impacts. Improved prediction requires better knowledge of the
processes that transfer heat from the open ocean to the ice shelf
cavities
14
. While many studies have examined cross-shelf heat
fl
uxes
15
,
22
,
23
,
47
, comparatively few have considered the pathways
that bring CDW from the ACC to the continental slope
17
. Here,
we have shown, using a data-assimilating state estimate, that Ross
Gyre variability impacts the magnitude and distribution of
oceanic heat supply toward the continental shelf. This connection
arises from variations in the position of the gyre
s eastern limb,
which is responsible for transporting CDW to the shelf break. An
expanded gyre preferentially steers heat toward the Amundsen
Fig. 3 Ocean temperature anomalies associated with contracted and expanded gyre states.
Map of the annual mean temperature anomaly (relative to
the 2013-2018 mean) on the
γ
n
=
27.9 kg m
3
surface for
a
2014 and
c
2018, re
fl
ecting the contracted and expanded gyre states, respectively. In both
panels, the green contour represents the mean gyre boundary for that year, while black contours mark bathymetry in 1000 m intervals with the 1000 m
isobath plotted thicker to indicate the approximate location of the Antarctic Slope Front. The dashed black line indicates a meridional transect mov
ing
offshore from the Amundsen Sea continental shelf (along 105
W). The annual mean temperature anomaly in the top 1400 m on this transect is plotted for
b
2014 and
d
2018. Black contours denote isopycnals for each year, with the 27.9
γ
n
surface highlighted in bold.
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and Bellingshausen Seas, leading to a zonal heat transport con-
vergence that warms the subsurface waters offshore of the
Amundsen continental shelf (Fig.
6
c). These results suggest a
possible link between Ross Gyre size and melt rates for West
Antarctic ice shelves.
It is important to recognize, however, that other processes
affect the eventual heat delivery to the ice shelf cavities. These
include the on-shelf CDW
fl
ux
11
,
12
and the shelf
circulation
16
,
48
,
49
, both of which exhibit variability
in some
cases due to the same atmospheric forcing that drives the
gyre
10
,
32
. Variability in the thickness of the CDW layer at the
Amundsen Sea Embayment is typically attributed to the zonal
winds at the shelf break (yellow box in Fig.
6
a). Eastward wind
anomalies in this location have been shown to enhance onshore
CDW transport at interannual timescales due to barotropic
acceleration of the Amundsen undercurrent
9
,
11
,
50
. However, the
opposite relationship between winds and cross-shelf heat
fl
ux has
been observed at decadal timescales, which was linked to bar-
oclinic adjustment of the undercurrent
8
. The interaction of these
mechanisms with Ross Gyre variability has not been explored,
although large-scale sea level pressure differences between the
end-member years (Fig.
6
a) would presumably in
fl
uence both the
gyre forcing and the wind-driven onshore transport.
To begin assessing this relationship, we can examine, in con-
cert, the ocean surface stress curl over the central gyre and the
zonal wind anomalies at the Amundsen shelf break. The two are
weakly correlated (
r
=
0.19) at monthly timescales (Fig.
6
b),
suggesting that the gyre conditions that preferentially steer CDW
toward the Amundsen may also be associated with enhanced on-
shelf CDW transport. Note that this conclusion is independent of
the model
s explicit representation of cross-shelf exchange. Ulti-
mately, quantifying the full pathways of CDW from its origin in
the ACC to the ice shelf itself is necessary to understand the
regional response of AIS mass loss to changes in forcing. How-
ever, our focus here is on the pathways from the open ocean to
the continental slope given that the horizontal grid spacing of
B-SOSE is too coarse to resolve some of the dynamics relevant to
cross-shelf heat transport, which has been shown to be sensitive
to model resolution
23
,
51
. Still, we have demonstrated that Ross
Gyre variability can modulate the heat reservoir offshore of the
Amundsen Sea at interannual timescales and thus deserves fur-
ther investigation in the context of continental shelf heat content
and WAIS melt. Future work should consider how changes in
gyre circulation interact with the processes that enable cross-shelf
exchange across a range of timescales.
Given the 6-year length of the B-SOSE simulation, it is dif
fi
cult
to reach conclusions about long-term changes induced by
anthropogenic forcing. Recent work projected an expansion of
the Ross Gyre over the 21st century due to increased vorticity
input by the winds, which led to changes in continental shelf
properties in West Antarctica
36
. Another recent study projects
unavoidable warming of the Amundsen continental shelf by the
end of the century regardless of the forcing scenario
52
. B-SOSE
has an evident trend in gyre strength and associated CDW
temperature anomalies, but this could be due to subsampling
decadal
fl
uctuations. In that case, the end-member years can be
thought of as representing earlier and later periods within a
longer-term signal. Furthermore, due to the distance between the
Fig. 4 Reverse particle trajectories showing differences in the origin of continental slope waters during contracted and expanded gyre states.
100
randomly selected trajectories for particles released at the contentinal slope in the Ross (blue) and Amundsen (orange) and run backwards with the
a
2014
(weak gyre) and
c
2018 (strong gyre) velocity
fi
elds, looped to achieve a 6-year integration time. Underlying shading denotes bathymetry and black lines mark
the 1000 m isobath, Polar Front (PF) and Southern Boundary of the Antarctic Circumpolar Current (SBdy)
60
.
b
Vertical temperature pro
fi
les at the release
locations (circles in
a
and
c
) in the Ross (blue) and Amundsen (orange) sectors for 2014 (solid) and 2018 (dotted).
d
Probability density functions of the
cumulative temperature change along a trajectory for the Ross (blue) and Amundsen (orange) particles for 2014 (solid) and 2018 (dotted) looped veloc
ities.
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gyre and continental shelf, the anomalies on the shelf are likely
related to multi-year gyre-mediated changes to the offshore heat
reservoir, rather than variations in the gyre circulation in any one
year speci
fi
cally. Nevertheless, characterizing the expanded and
contracted gyre states within the model can provide mechanistic
insight that is relevant to both the natural variability and forced
trend.
Record low Antarctic sea ice extent in 2023, which may indi-
cate a shift in sea ice state
53
, is expected to strengthen the gyre by
permitting the winds to input greater vorticity. Additionally,
future changes to Southern Ocean winds and the Amundsen Sea
Low under climate forcing
54
also favor conditions for gyre
expansion. These results imply enhanced warming of the offshore
heat reservoir adjacent to the Amundsen in the coming decades,
and potentially a greater importance of the Ross Gyre and open
ocean sea ice anomalies to the temperature variability on the
continental shelf. Moreover, if this offshore warming co-occurs
with the same or greater magnitude of onshore volume transport,
then we would expect accelerated melting of the most vulnerable
ice shelves in West Antarctica, including those that buttress Pine
Island and Thwaites glaciers. Further work addressing these
possible feedbacks is urgently needed given the broad rami
fi
ca-
tions of constraining future WAIS melt for climate prediction.
Methods
This study investigates pathways of CDW transport using the
data-assimilating Biogeochemical Southern Ocean State Estimate
(B-SOSE)
34
, which constrains the Massachusetts Institute of
Technology general circulation model (MITgcm) solution
55
with
satellite and hydrographic measurements. The con
fi
guration used
in this analysis, Iteration 133, has 1/6
horizontal grid spacing
( ~ 8 km), 52 uneven vertical levels, and runs from 1 January 2013
to 31 December 2018. The model assimilates ocean observations,
including satellite data, shipboard CTD measurements, and Argo
fl
oat pro
fi
les; bathymetry is from the ETOPO1 Global Relief
Model
56
. This iteration of B-SOSE is publicly available (
http://
sose.ucsd.edu
).
Here, we de
fi
ne the Ross Gyre using the barotropic stream-
function, or the depth-integrated volume transport, which is
calculated by integrating the model velocity
fi
eld northward from
the coast and vertically
38
. Speci
fi
cally, we use the
8 Sverdrup
(10
6
m
3
s
1
) contour of the streamfunction as the gyre boundary,
following Roach & Speer (2019), which used this de
fi
nition to
investigate Ross Gyre dynamics using an earlier iteration of the
same model. Aside from the maps illustrating the gyre boundary
(Figs.
1
b,
3
a, c) and the calculation of gyre strength (Fig.
2
a), the
analysis does not rely on this
8 Sverdrup value. Furthermore,
the temporal gyre variability is strongly correlated (r > 0.98) for a
range of threshold values (Supplementary Fig. 8), and the results
from the Lagrangian particle release experiments are independent
of any particular gyre boundary de
fi
nition. The error bars for gyre
strength in Fig.
2
are
fl
ect the standard error of the monthly
means based on the model
s 5-day velocity
fi
elds.
To investigate the drivers of gyre variability, we consider the
ocean surface stress
the force applied to the ocean surface by the
winds and sea ice
de
fi
ned as
τ
=
ατ
ice
ocean
+
(1
α
)
τ
air-water
,
where
α
is the sea ice concentration,
τ
ice
ocean
is the ice-ocean
Fig. 5 Forward particle trajectories demonstrating the impact of gyre variability on poleward heat transport magnitude and spatial distribution.
500
randomly selected trajectories for particles released at 600 m along a transect that extends from 130 to 135
Wat67
S (black line) and advected by the
a
2014 and
c
2018 velocity
fi
elds, looped to achieve a 6-year integration time. Underlying shading denotes bathymetry and black lines mark the 1000 m
isobath, Polar Front (PF) and Southern Boundary of the Antarctic Circumpolar Current (SBdy)
60
.
b
Meridional heat transport, de
fi
ned relative to 0
C,
through the release transect for the two end-member years; a negative transport is southward. Error bars denote the standard error.
d
Fraction of particles
that move eastward from their initial release location after 1 year (i.e. toward the Amundsen Sea), plotted as a function of release depth, for both loo
ped
velocity scenarios.
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7
stress, and
τ
air
water
is the wind stress. The ocean surface stress is
diagnosed directly in the model, and thus does not require
additional calculation. However, we write out the expression here
to highlight the fact that the ocean surface stress is not equivalent
to the wind stress in the presence of sea ice. In fact, the increase in
ocean surface stress curl over the central gyre that drives the gyre
expansion is due largely to negative sea ice concentration
anomalies in the region (Supplementary Fig. 3) rather than
variability in the wind stress.
To illustrate the isopycnic temperature variability associated
with the contracted and expanded gyre states, we plot the 2014
and 2018 annual mean temperature anomaly on the
γ
n
=
27.9 kg m
3
surface (Fig.
3
a,c). This isopycnal was selected since
it corresponds to the subsurface temperature maximum at the
shelf break in the Amundsen (marked by an orange circle in
Fig.
4
a, c), and is thus taken to be the core of the CDW layer in
the model. However, the subsurface layer of warmer tempera-
tures at this location is broad and spans a range of densities and
depths (Fig.
4
b). Indeed, CDW is known to be comprised of
several density classes. While we assume throughout that CDW
is isolated from surface forcing, we note that the 27.9
γ
n
surface
outcrops in winter in a small region within the central gyre
(Supplementary Fig. 9). Although, this does not correspond to
the locations with the largest isopycnic temperature anomalies,
which occur due to shifting of the strong isopycnal temperature
gradientnearthegyreedge(visibleinFig.
1
a). This gradient is
present on denser surfaces as well, so the isopycnic temperature
anomaly patterns look qualitatively similar for
γ
n
=
28.0 kg m
3
(SupplementaryFig.10).Wepresentthe27.9
γ
n
surface in the
main text since it corresponds to the subsurface temperature
maximum at the shelf break, which suggests its relevance to
the onshore heat transport. However, the conclusions of the
paper do not depend on the selection of this particular density
surface.
B-SOSE 5-day mean velocity
fi
elds were used to calculate of
fl
ine
Lagrangian particle trajectories
using the particle-tracking model
Parcels, which is available online (
http://oceanparcels.org/
). Details
of the interpolation scheme ha
ve been described previously
57
,
58
.For
the purposes of this study, we conducted 3 reverse and 3 forward
release experiments. Here, we are interested in subsurface pathways,
so we only consider particles that do not outcrop into the mixed
layer. The reverse releases were done
by seeding 2,500,000 particles at
different locations along the 100
0 m isobath (Supplementary Fig. 5)
and at all depths in the water column. Particles were
fi
rst released at
the end of the simulation (i.e. December 31, 2018) and integrated
backwards in time for 6 years to the beginning of the model run. Two
other experiments were done with the same initial locations and
6-year integration time. However, instead of using the full model
Fig. 6 Comparison of Ross Gyre forcing and Amundsen continental shelf break winds that drive onshore transport variability. a
2018 minus 2014 sea
level pressure, with a green contour denoting the mean gyre boundary and black lines marking bathymetry in 1000 m intervals with the 1000 m isobath plot
ted
thicker to indicate the approximate location of the Antarctic Slope Front. A purple box denotes the region of maximum negative wind stress curl that fo
rces the
gyre and a yellow box marks the offshore heat reservoir adjacent to the Amundsen.
b
Monthly time series of zonal wind stress anomaly (yellow) near the
Amundsen continental slope (yellow box in
a
) and ocean surface stress curl (purple) averaged over the gyre forcing region (purple box in
a
).
c
Time series of
upper ocean temperature in the offshore reservoir (yellow box in
a
) with isopycnals overlaid in black and the 27.9
γ
n
surface highlighted in bold.
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velocity
fi
eld, we loop 2014 and 2018 velocities to represent con-
tracted and expanded gyre states, respectively.
The forward particle releases were done along a transect that
extends from 130 to 135
Wat67
S. The meridional heat trans-
port across this transect was calculated as
∫∫
ρ
c
p
Tv dA dz
using
constants for
ρ
(1027 kg m
3
) and
c
p
(3990 J kg
1
C
1
), along
with the model temperature (
T
) and meridional velocity (
v
)
fi
elds.
The transport is de
fi
ned relative to 0
C
59
, therefore, when the
temperature is negative, a southward heat transport corresponds
to a northward mass transport of water less than 0
C. However,
we note that temperatures are always positive within the relevant
CDW density range, so the heat transport is in the same direction
as the mass transport. Error bars in Fig.
5
b and Supplementary
Fig. 4 re
fl
ect the standard error of the annual means based on the
monthly transports.
The magnitude of the heat transport across this transect does
depend on the precise segment location and width, however the
poleward heat transport is enhanced in 2018 (expanded gyre)
relative to 2014 (contracted gyre) regardless of position, although
the longitude of the maximum heat transport does shift (Sup-
plementary Fig. 11). As such, we release particles along a transect,
rather than from a point location, in order to capture the core of
the gyre
s eastern limb, even as it changes position in time. For
the release experiment, we seeded 100,000 particles evenly spaced
along the transect at all depths between 400 and 1400 m, which
includes both the Upper and Lower Circumpolar Deep Water
layers at this location. Particles were
fi
rst released at the beginning
of the simulation (i.e. January 1, 2013) and integrated forward in
time for 6 years to the end of the model run (Supplementary
Fig. 7). Similar to above, we also computed trajectories for the
same release locations, but looping the 2014 and 2018 velocities
(Fig.
5
a, c).
Data availability
Output from the Biogeochemical Southern Ocean State Estimate (B-SOSE) is publicly
available (
http://sose.ucsd.edu
); this analysis utilizes Iteration 133 of the model solution.
Of
fl
ine Lagrangian particle trajectories were calculated using Parcels (
http://oceanparcels.
org
) and are archived on Zenodo (
http://zenodo.org/doi/10.5281/zenodo.10393325
).
Received: 8 August 2023; Accepted: 8 January 2024;
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Acknowledgements
C.J.P., G.A.M., M.R.M., L.D.T., and S.T.G. were supported by NSF PLR-1425989 and OPP-
1936222 (Southern Ocean Carbon and Climate Observations and Modeling project). C.J.P.
received additional support from a NOAA Climate & Global Change Postdoctoral Fel-
lowship. G.A.M. received additional support from UKRI Grant Ref. MR/W013835/1.
G.E.M. was supported by NSF OPP-2220969. R.Q.P. was supported by the High Meadows
Environmental Institute Internship Program. R.M. was supported by the General Sir John
Monash Foundation. A.F.T. was supported by NSF OPP-1644172 and NASA grant
80NSSC21K0916. M.R.M. also acknowledges funding from NSF awards OCE-1924388 and
OPP-2319829 and NASA awards 80NSSC22K0387 and 80NSSC20K1076. Thanks to Steve
Rintoul and two anonymous reviewers for their helpful comments. Thanks also to Becki
Beadling for reading an earlier draft of the manuscript, and to Maike Sonnewald and Mary-
Louise Timmermans for useful conversations.
Author contributions
C.J.P. designed the study with input and supervision from G.E.M., A.F.T., L.D.T., and
S.T.G. M.R.M. developed the model and G.A.M. con
fi
gured the Lagrangian particle
release experiments. C.J.P. and R.Q.P. conducted the rest of the analysis. R.Q.P. received
additional supervision from G.A.M. and S.M.G. R.M. provided code and insights on the
overall framing of the work. C.J.P. wrote the manuscript. All authors contributed to the
interpretation of the results and commented on the manuscript.
Competing interests
The authors declare no competing interests.
Additional information
Supplementary information
The online version contains supplementary material
available at
https://doi.org/10.1038/s43247-024-01207-y
.
Correspondence
and requests for materials should be addressed to Channing J. Prend.
Peer review information
Communications Earth & Environment
thanks Steve Rintoul
and the other, anonymous, reviewer(s) for their contribution to the peer review of this
work. Primary Handling Editors: Jennifer Veitch, Joe Aslin, and Clare Davis. A peer
review
fi
le is available.
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is available at
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