1. Introduction
The Leeuwin Current System (LCS) along the coast of Western Australia (WA) consists of the Leeuwin Current (LC), the Leeuwin Undercurrent (LUC), and the nearshore Capes and Ningaloo Currents. It also includes the zonal flows in the south Indian Ocean (SIO) that impinge on the west coast of Australia: near-surface (
a. Background
At the present time, there are many studies of various aspects of the LCS. Here, we summarize a few that are most relevant to our research.
1) Leeuwin Current
Although the existence of near-surface, poleward flow off WA has been known for a century (Saville-Kent 1897), only in the latter half of the twentieth century has the LC been systematically observed. Smith et al. (1991) reported the seasonal variation of the LC at 29.5°S, finding that its transport in the upper 300 m was a minimum in February (1.4 Sv; 1 Sv ≡ 106 m3 s−1) and a maximum in June (6.8 Sv). Feng et al. (2003) studied the seasonal cycle of the LC at 32°S; they found that the LC meridional transport attained a maximum during June–July (5 Sv) and that its annual mean over the entire record was 3.4 Sv. More recently, Yit Sen Bull and van Sebille (2016) used Lagrangian virtual floats in their eddy-revolving ocean general circulation model (OGCM) to find annual-mean LC transport values similar to Feng et al.’s (2003).
Two mechanisms have been proposed for generating the LC. The first is the Indonesian Throughflow (ITF), which raises sea level north of Australia; the higher sea level extends southward along the WA coast through the propagation of coastally trapped waves, thereby establishing a zonal-pressure-gradient field that drives the LC (e.g., Godfrey and Ridgway 1985; Kundu and McCreary 1986). The second is near-surface, eastward flow across the interior of the SIO [section 1a(3)], which bends southward at the WA coast to form the LC (McCreary et al. 1986; Thompson 1987; Weaver and Middleton 1989, 1990; Furue et al. 2013; Benthuysen et al. 2014; Lambert et al. 2016). A general result from the second mechanism is that a southward-flowing LC can be produced, provided the onshore interior transport is large enough to overwhelm offshore Ekman drift driven by the prevailing southerly winds. This property holds in the SIO but generally not elsewhere (Weaver and Middleton 1990). Furthermore, the second mechanism suggests that the LC strengthens to the south as a consequence of the continual supply of water from the ocean interior.
It is noteworthy that steady currents exist at all along eastern-ocean boundaries; eastern boundary currents can occur only if some process prevents Rossby waves from propagating them offshore. The basic process that causes coastal trapping differs among the models. In the Kundu and McCreary (1986) and McCreary et al. (1986) models, coastal trapping results from vertical diffusion, which damps Rossby waves associated with higher-order vertical modes before they can propagate very far offshore. In the Weaver and Middleton (1989, 1990), Furue et al. (2013), and Benthuysen et al. (2014) solutions, it is caused by the continental slope, which traps Rossby waves to the coast by the topographic β effect.
An aspect of the LC, not captured in these idealized modeling studies, is that it is generally collocated with an energetic, mesoscale eddy field. Indeed, the LC is believed to generate eddies as a result of barotropic and baroclinic instabilities, which subsequently propagate offshore (Andrews 1983; Fang and Morrow 2003; Feng et al. 2005; Meuleners et al. 2007, 2008). As a result of the eddy field, the LC often appears as a meandering flow.
2) Leeuwin Undercurrent
Thompson (1984) first reported evidence for the LUC, noting the presence of equatorward flow on the upper continental slope off WA at a depth of 300 m and estimating its transport to be 5 Sv. Current meter data from the Leeuwin Current Interdisciplinary Experiment (LUCIE; Church et al. 1989; Smith et al. 1991) confirmed the Thompson (1984) observations, describing an equatorward undercurrent located between 250 and 400 m, flowing at a speed of about 10 cm s−1 and transporting 5 Sv of high-salinity and highly oxygenated water. Middleton and Cirano (2002) suggested that the LUC is fed by the Flinders Current (Bye 1972), which flows westward along and slightly offshore of the South Australian shelf and transports Subantarctic Mode Water (SAMW). Analyses of the different water masses off WA (Akhir and Pattiaratchi 2006; Woo and Pattiaratchi 2008) confirmed that the LUC does carry SAMWs.
The dynamics of the LUC are not clear. The Kundu and McCreary (1986) and McCreary et al. (1986) models are appealing in that they generate the LUC (indeed, the complete LCS) within a simple theoretical framework. In both, the LUC and LC are composed of damped, baroclinic Rossby waves. As a result, the two currents are strongly connected dynamically. For example, water downwells from the LC to the LUC because of damping, providing the source for all the LUC water. Finally, the LUC is linked to the westward, subsurface flows in the interior of the SIO, with LUC water diverging from the coast to supply water for the westward SIO flow. One limitation of the two models is that they lack a continental shelf, which is known to weaken (inhibit) offshore Rossby-wave propagation (Weaver and Middleton 1990; Furue et al. 2013; Benthuysen et al. 2014), and without shelf topography, the model LC and LUC are necessarily aligned vertically with equal and opposite transports, whereas the real LUC tends to be shifted offshore. Another limitation is that, unless diffusion is sufficiently strong (perhaps unrealistically so), both the LC and LUC are weak and the LUC does not extend deep enough into the water column. Given these issues, it is best to view the two modeling studies as providing a useful foundation for a hierarchy of LUC systems.
Some OGCMs develop a LUC with a realistic structure and amplitude (e.g., Domingues et al. 2007; Meuleners et al. 2007). Domingues et al. (2007) examined LUC flow pathways in their solution. Similar to the Kundu and McCreary (1986) and McCreary et al. (1986) solutions, they report that LC water sinks to join the LUC and eventually bends offshore to join the SIO subsurface westward flow. In contrast to those solutions, however, the downwelling appears to occur mostly isopycnally, rather than diffusively; as LC water flows southward, it cools and sinks to merge with the top of the LUC (C. M. Domingues 2014, personal communication). In addition, the LUC and LC do not align vertically, likely a consequence of their model having a continental shelf/slope.
Although the eddy field associated with the LUC is thought to be energetic, it is not readily observed. In a ROMS simulation, Rennie et al. (2007) found that the LUC generated mostly cyclonic eddies due to the production of strong negative vorticity where the current flowed against the continental slope. They also found that interaction between the LC and LUC led to the formation of eddy pairs: cyclonic in the LUC and surface-intensified, anticyclonic eddies in the LC. Meuleners et al. (2007) found LUC variability to be coupled to the more energetic LC variability, with the development of LC meanders leading to the growth of subsurface eddies.
3) SIO zonal currents
The upper-ocean (shallower than 200–300 m) circulation of the SIO is dominated by geostrophic eastward currents that flow against the prevailing winds (Schott et al. 2009). The cause of the eastward flow appears to be the poleward increase in density, which results in a poleward decrease of near-surface dynamic height. As a result, the near-surface geopotential height field offshore from WA nearly always decreases toward the south (Thompson 1984; McCreary et al. 1986; Woo and Pattiaratchi 2008), driving a continual input of water into the coast. In addition, the eastward flow tends to split into a number of jets (Maximenko et al. 2009; Divakaran and Brassington 2011), the most distinctive of which are the tropical Eastern Gyral Current (EGC), which reaches the eastern boundary from 15° to 20°S (Meyers et al. 1995; Domingues et al. 2007; Menezes et al. 2013), and the South Indian Countercurrent (SICC; Siedler et al. 2006; Palastanga et al. 2007), which appears to divide into two branches near 25° and 30°S near the WA coast (Menezes et al. 2014).
SIO subsurface flow (deeper than 200–300 m) is directed predominantly westward. Sufficiently far offshore, westward flow exists as part of the wind-driven Sverdrup gyre, but its cause near the WA coast is not understood. In the Kundu and McCreary (1986) and McCreary et al. (1986) models, it is generated by the offshore propagation of weakly damped, low-vertical-mode Rossby waves and hence is determined by LCS processes. In OGCMs with a continental shelf/slope, for which Rossby-wave propagation is inhibited, this mechanism is likely to be significantly modified. As for the overlying eastward flow, the westward flow also tends to organize into jets, and such jets are visible in OGCM solutions (e.g., Domingues et al. 2007; Divakaran and Brassington 2011). The cause of westward jets is not clear but is likely linked to that of the overlying eastward ones.
b. Present research
In this study, we continue the effort to develop a comprehensive, observational picture of the LCS for both its annual-mean state and seasonal variability. We seek to answer questions like the following: What are the spatial and temporal structures of the LC and LUC? How do their transports vary along the coast? Is there significant downwelling from the LC to the LUC? How do the two coastal currents interact with the SIO zonal flows? To address these questions, we analyze hydrographic data from a recently updated variant of the CSIRO Atlas of Regional Seas (CARS), a climatology with sufficient spatial resolution (⅛°) to represent the narrow coastal currents along WA. On the basis of geostrophic currents determined from CARS, we describe the spatial structure and annual variability of the LC, LUC, and SIO zonal currents, estimate their transports, and identify linkages among them. We use two methods to determine the currents: (i) by imposing a level of no motion offshore and a zero alongshore flow on the shelf/slope (Helland-Hansen 1934) and (ii) by imposing zero depth-integrated divergence at a specified level offshore as well as on the shelf/slope. To support our CARS analyses, at various places in the text we report properties of the LCS in an OGCM solution, namely, the Ocean Forecasting Australian Model 3 (OFAM3; Oke et al. 2013).
We find that the observed circulation off WA has many similarities to the circulation described in the earlier modeling studies reviewed above. In particular, the LC is fed by near-surface eastward flow, water downwells from the LC to the LUC, and the LUC loses water to subsurface westward flow. Surprisingly, the downwelling transport is large, a significant fraction of the eastward zonal transport, and as a result the LC transport does not increase much to the south, in contrast to a number of modeling results.
The paper is organized as follows. Section 2 provides an overview of CARS and OFAM3 and discusses the methods of analysis, and section 3 describes the alongshore structure and seasonal variability of the LC, LUC, and SIO flows present in CARS and identifies the linkages among them. Section 4 provides a summary and discussion, and, finally, the appendix discusses supplementary results from OFAM3 and another eddy-resolving model called the OGCM for the Earth Simulator (OFES).
2. Methodology
We begin with a discussion of the observational data and OGCM solution that we use in our study. We then discuss our two methods for calculating geostrophic currents and validate both approaches by applying them to the OGCM solution. Finally, we define spatial boundaries for the LC and LUC and use them to provide expressions for the current transports reported in section 3.
a. Data
Hydrographic data are taken from a version of the CSIRO Atlas of Regional Seas that has high resolution around Australia (CARS Aus8; Ridgway et al. 2002; Dunn and Ridgway 2002; http://www.cmar.csiro.au/cars/; http://www.marine.csiro.au/atlas/). The atlas provides the mean and average annual cycle of hydrographic measurements obtained by research vessels and Argo and other autonomous profiling buoys from 1950 to the end of 2012. Data are provided on a grid with a resolution of 1/8° and with 79 vertical levels spread over 5500 m, 55 of which are within the top 1000 m. CARS differs from other climatologies through its use of an adaptive length-scale LOESS mapper that maximizes the resolution in data-rich regions. The nominal effective resolution of the original hydrographic measurements is roughly 100 km for the region and depth range we are interested in, but the effective resolution is highly anisotropic near the coast with data ellipses tending to align along isobaths and elongated in the alongshore direction (Ridgway et al. 2002). Accordingly, the temperature (T) or salinity (S) value at each grid point is a result of averaging (smoothing) over many observed data, and the effective smoothing scale is smaller in the cross-shore direction than in the alongshore direction, a crucial property to resolve narrow alongshore currents. The values are deliberately extended beneath the sloping bottom so that the user can choose various bottom masks without creating gaps between the data points and the ocean bottom. In this study, we mask the CARS data using the ETOPO5 topography dataset (National Geographical Data Center 1988). At a
Even though the effective resolution is higher in the cross-shore direction, it will still be lower than the grid resolution (⅛°) of CARS Aus8 (K. R. Ridgway 2016, personal communication). A coarser grid, however, would have undersampled the spatial structure of the interpolator (smoother) function near the coast, smoothing out the narrow alongshore currents, and it also would have required horizontal interpolation after all to resolve steep bottom topography. It is this high horizontal and vertical resolution that makes this atlas particularly useful because a major potential source of error comes from the application of mass conservation to the sloping bottom [sections 2c(2) and 3d]. Here, we analyze a regional subset of the dataset that extends north, west, and south of the continental boundary of Australia from 40° to 16°S and 90° to 120°E.
To calculate the near-surface, onshore–offshore transport into the LCS, we need to take into account the wind-driven Ekman drift away from the coast. When analyzing the CARS data, we use monthly climatological winds over 2002–11 constructed from ERA-Interim (Dee et al. 2011). [The selection of years 2002–11 is not particularly significant. The only consideration was that the hydrographic observations that went into the revised CARS Aus8 dataset are biased toward the recent Argo era. We have compared the ERA-Interim zonal and meridional winds averaged over 2002–11 to those over 1992–2001 in our region of interest and found only up to ~5% difference (not shown).] When carrying out the same analysis on the OFAM3 temperature and salinity fields [section 2c(3)], we use the wind stress data that forced OFAM3 (also based on ERA-Interim; see below), which is provided as part of the OFAM3 dataset (section 2b).
b. Model
To validate our geostrophic calculations (section 2c), we utilize a solution from OFAM3 (Oke et al. 2013). OFAM3 is a near-global (75°S to 75°N), eddy-resolving configuration of version 4.1d of the Modular Ocean Model (Griffies 2009). Its horizontal resolution is
c. Geostrophic velocity fields
1) Helland-Hansen (1934) method
Helland-Hansen (1934, hereinafter HH) introduced a popular method for determining geostrophic velocities in a hydrographic section that extends over a shelf/slope [see Sælen (1959), Mountain (1974), Fratantoni and Pickart (2007), and Bingham and Hughes (2012) for more recent discussions]. Offshore, the HH method assumes a level of no motion at some depth d0. Near the coast, where the bottom depth D(x, y) is shallower than d0, it assumes that the alongshore velocity vanishes at z = −D.
When the HH method is applied to the CARS dataset, which is essentially a suite of cross-shore (zonal) hydrographic sections, the cross-shore velocity is also assumed to vanish at z = −D. See Bingham and Hughes (2012) for a comprehensive assessment of this and other similar methods. We label the geostrophic flow field determined from CARS by the HH method vg = (ug, υg).
2) Zero divergence method
The geostrophic flow field using this method is then given by
Marchuk et al. (1973) and Sheng and Thompson (1996) propose more dynamically consistent methods of determining from an observed density field a velocity field that does not have across-bottom flow. Both methods include friction. We use the above alternative only because it is much simpler to implement.
3) Validation
We checked the accuracy of the HH and ZD methods using the OFAM3 solution. Specifically, we used the climatological temperature and salinity fields from the model output (section 2b) to determine annual-mean, meridional velocities υg and
Figure 1 points toward a large difference in the LC and LUC strengths depending on the reference level d0. The upper panels of Fig. 2 illustrate this sensitivity in greater detail, plotting LC and LUC transports
For d0
These characteristics generally hold for other latitudes. That is, the separation between the LC and LUC is at about 200 m in OFAM3; the LC and LUC transports reach their minimum and maximum when d0 = 800–1000 m, where they agree best with the transports calculated from the full model velocity, and the flow field starts to deteriorate for deeper reference levels. Figures 2c and 2d plot
As the gray curves in Figs. 2c and 2d indicate, the ZD method usually gives somewhat larger (smaller) LC (LUC) transports, and the difference tends to be larger north of 28°S; the discrepancy between the geostrophic calculation and the full model velocity is also somewhat larger north of 28°S. The ZD correction is nevertheless necessary for our study because the spurious, net vertical transport across the bottom in the HH velocity field is not negligible in the volume budget calculations we show in section 3d. Interestingly, the ZD curves are much smoother than HH curves, consistent with the fact (not shown) that small scales dominate the horizontal divergence of the HH velocity field, and eliminating it involves horizontal smoothing, a property of the Poisson equation [(2)]. The difference between the HH and ZD methods for the LC transport from CARS (black curves in Fig. 2c) is somewhat smaller than that from OFAM3 except between 24.5° and 23°S; for the LUC transport (Fig. 2d), the difference is similar between OFAM3 and CARS. (The interested reader can find some further comparison between the CARS and OFAM3 flow field in the appendix.)
d. Transports
There are distinct advantages in having a coordinate system that approximately follows the currents. There is, however, no perfect way to define current boundaries. One problem is that the boundaries of these currents are highly variable in space and time. We define the boundaries to be constant in time on the basis of the annual-mean climatological flow structure, which is smoother also in space than monthly climatology. Another problem is that the definitions of the LC and LUC are somewhat ambiguous. Past studies tend to show a well-defined LC core trapped to the continental slope. Sometimes, however, offshore flow is in the same direction as the LC (e.g., Smith et al. 1991), and it is not clear whether or not this flow should be included in the LC. The spatial structure of the LUC is less well documented, but the same problem is anticipated. In this study, we define the LC and LUC to be the cores that are trapped to the continental slope for two reasons: that they are almost always well defined (see below) and that the cores trapped to the slope or coast are likely to be dynamically separate phenomena from offshore currents (section 1a).
Since the vertical structure of the LC is relatively constant in the latitudinal direction, we assume that the bottom of the LC occurs at the depth dLC(x, y) = min[d1, D(x, y)], that is, it is d1 offshore and D over the shelf/slope, and set d1 = 200 m. We set the depths of the top of the LUC to be dLC and its bottom to be db(x, y) [defined in section 2c(2)] for simplicity. The eastern edge of the LCS, xWA(y), is the coast of Western Australia.
The offshore edges of the LC and LUC can be likewise defined on the basis of the flow structure. We tried but eventually abandoned this approach because any criteria we devised either excluded some parts of the LC or LUC or included some non-LC or non-LUC offshore flows. We then decided to use the bathymetry since the LC and LUC tend to be aligned with it. This approach is not perfect either but is much simpler. The offshore edge of the LC [xLC(y)] is defined to be the grid point closest to the longitude that is 0.8° offshore from the location where the d1 isobath intersects the shelf/slope; similarly, the offshore edge of the LUC [xLUC(y)] is the grid point approximately 0.8° offshore from where the 800-m isobath intersects the shelf/slope. The position of the slope is determined on the basis of the ETOPO5 topography dataset interpolated onto the CARS grid. We have settled on these offshore edges by visually inspecting the annual-mean meridional geostrophic velocity field based on CARS along various zonal sections so that xLC and xLUC visually agree with the actual edges of the LC and LUC as well as possible. The green lines in Figs. 3, 4, and 7 (shown below) indicate the locations of these boundaries. As these figures show, the boundaries generally fit the LC and LUC tightly and exclude offshore recirculations.
Note that (4d) can be used as a definition of
3. Results
In this section, we first describe the LC, LUC, and SIO zonal flows determined from CARS. We conclude by reporting volume budgets that demonstrate the linkages among these currents.
a. Leeuwin Current
1) Horizontal structure
Figure 3 illustrates the horizontal structure of the near-surface, annual-mean flow field offshore from WA, plotting depth integrals of
2) Vertical structure
Figure 4 plots zonal sections of annual-mean
The section at 22°S illustrates the structure of the LC that originates in the tropics. Along the entire coast, although the width and strength of the LC vary, its vertical extent does not, largely staying at 200 m, contrary to Furue et al.’s (2013) and Benthuysen et al.’s (2014) theoretical prediction. The bottom of the LC in OFAM3 also largely stays at 200 m along the entire coast (not shown).
3) Seasonal and alongshore variability
Figure 5 plots LC transports
Figure 10 (below) illustrates the annual cycle of the meridionally averaged LC transport (solid curve with symbols). It shows a clear, annual period, with the strongest (weakest) LC during May (October). The LC also tends to be wider when it is stronger (not shown), consistent with Huang and Feng’s (2015) finding from satellite sea surface temperature (SST) data that the high SST region associated with the LC is wider when the LC is stronger. The vertical extent of the LC does not vary much in time and does not seem to have a systematic annual cycle (not shown).
4) Comparison with Feng et al. (2003)
The LC transport values in Fig. 5 are weaker than those reported in other studies. For example, Feng et al. (2003) estimated considerably larger LC transports at 32°S than we find in CARS, the discrepancy varying from a minimum of 1.5 Sv in February to 3.5 Sv in June. Their transport calculation differs from ours in that they used a reference level of 300 m and an empirical temperature–salinity relationship to compute geostrophic velocities from temperature observations and in that they defined the offshore boundary of the LC to be 110°E, much farther offshore than the core of the current.
To investigate the impact of these specifications, we calculate various meridional transports across 32°S (Fig. 6). The thick, black, solid curve shows meridional geostrophic velocity using the HH method with d0 = 300 m integrated from 110°E to the coast of Australia and from 300 m to the sea surface. As expected, this curve shows similar magnitudes (1.5–5.5 Sv) to Feng et al.’s. When the reference level is increased to 900 m (thick, gray, solid), the transport is reduced by 1–2 Sv and is even reversed during October–December. The maximum transport (negative peak) is still as large as 4.5 Sv. The transports change little when the extent of vertical integration is reduced to d1 = 200 m (thick, light gray, dashed) except that the reversed transports during October–December almost vanish. When the zonal extent of the integration is reduced to xLC(32°S) = 114.5°E (dark gray, dashed), the transports dramatically decrease during February–August and increase somewhat during October–December. Finally, when the geostrophic velocity field is adjusted with the ZD method (thick, gray, sold), the transports change by ~0.5 Sv. The difference between the HH and ZD methods are largest near this latitude (not shown). The impact of the Ekman transport (thin, solid, black with crosses) is very minor (thin, solid with filled squares).
The main reason for the discrepancy between Feng et al.’s transports and ours is, therefore, the zonal extent of integration. (The empirical temperature–salinity relationship is not likely to be a major factor because our geostrophic calculation with d0 = 300 m and xLC = 110°E gives sufficiently similar values to Feng et al.’s.) Figures 3 and 4 indicate that our definition xLC(y) of the offshore edge includes only the part of the poleward flow that is trapped on the continental slope. A wider integration range inevitably includes recirculations and eddies, and the resulting meridional transport values vary widely from latitude to latitude and from month to month (not shown).
b. Leeuwin Undercurrent
1) Horizontal structure
Figure 7 plots the depth integral of annual-mean
2) Vertical structure
As evident in Fig. 4, the vertical structure of the LUC changes markedly along the coast, its core tending to shoal to the north: the core depth lies at 450 m at 34°S and shallows to 370 m at 26°S. Additionally, its upper boundary rises northward, in many of the sections lying along the outer flank of the LC and even appearing to reach the surface at 28°S. Much (if not all) of the shallowing must result from downwelling across the bottom of the LC (Fig. 11b below), which adds less-dense water to the top of the LUC. The apparent surfacing at 28°S, however, is caused by the superposition of a near-surface anticlockwise eddy (28°S, 112°E; Fig. 3) and so is not indicative of LUC shallowing at this location. At other latitudes (near 26° and 30°S), the apparent surface extensions of the LUC (Fig. 4) are in fact isolated regions of equatorward flows just offshore from the LCS (Fig. 3). At some latitudes, such as 30°S, these near-surface flows extend to the depth range of the LUC (Fig. 4), but, with our definitions of current boundaries (section 2d), contributions from these offshore regions are not included in the LUC.
3) Seasonal and alongshore variability
Figure 8 plots LUC transports
The LUC is weak at 34°S: only a tiny fraction of the Flinders Current bends equatorward at Cape Leeuwin (34°S, 114°E) to form the LUC; the rest continues westward, some fraction of the latter turning back to join the LUC equatorward of 33°S (Fig. 7; Duran 2015). This loop appears to form around and above the Naturaliste Plateau (35°–33°S, 110°–113°E), visual correlation of the transport-velocity vectors with the bottom topography being very high (not shown), even though the shallowest point of the plateau is still much deeper than the bottom of the LUC. Meuleners et al. (2007) reported a similar loop in their ocean general circulation model, but their Flinders Current turns back onshore just poleward of the peak of the plateau (34°S); the reason for this discrepancy is not known.
c. SIO zonal flows
To illustrate the vertical structure of the interaction of the SIO zonal flows with the LC and LUC, Fig. 9 shows the component of the annual-mean, geostrophic velocity
The jets near 24°S and 28°–30°S are consistent with the previously identified ones [Menezes et al. 2014; section 3a(1); Fig. 3]. Below the near-surface layer, the subsurface flows tend to be directed onshore (eastward) south of 28°S and offshore (westward) north of it and, like the near-surface flow field, are divided into a series of jets. The inflows south of 28°S are consistent with those in the horizontal map (Fig. 7) discussed above.
Domingues et al. (2007) was based on analysis of the Parallel Ocean Program model, run 11B eddy-permitting OGCM (POP11B; Maltrud et al. 1998). Further analysis was presented in the Ph.D. thesis of Domingues (2006), including a 5-yr mean zonal velocity averaged from the outer edge of the LC (Domingues’s definition) to the coast of Australia (her Fig. 5.2). Like our zonal velocity (Fig. 9), the velocity structure of Domingues (2006) changes around 200-m depth, with eastward flows dominating above 200 m and several zonal jets superimposed. Her lower-layer zonal velocity is, however, dominated by westward flows throughout the latitude range 34°–22°S, whereas CARS is dominated by inflows south of 28°S (Fig. 9). In OFAM3 (Figs. A1 and A2 below), there is no net inflow south of 28°S in the lower layer either. This difference between CARS and the two numerical models could be due to the lack of the retroflection of the Flinders Current in the models for an unknown reason.
Note that some of the strong westward jets are located beneath regions of weak eastward flow and vice versa, suggesting that the surface and subsurface jets are formed by the same process, one that occurs relatively uniformly over the depth range from 900 m to the ocean surface. [A meridionally high-pass filtered version of this plot (not shown) reveals a series of vertically coherent zonal jets of alternating signs. To see its vertical structure more clearly, we examined the CARS geostrophic flow with d0 = 2000 m along 111°E (not shown), finding clear zonal jets of alternating signs extending well below 1000 m south of 28°S (those to the north were less coherent). Similar features have been discussed in the literature (e.g., Divakaran and Brassington 2011; Taguchi et al. 2012; Qiu et al. 2013; and references therein).
To measure the seasonal impact of the SIO flows, Fig. 10 plots the net zonal transport into the LC and LUC from the SIO versus time, that is,
Although the amplitudes are very different [section 3a(4)], the annual cycle of the mean LC transport
d. Volume budgets
To illustrate interactions between the LC, LUC, and SIO currents, Fig. 11 plots annual-mean transports across the faces of the LC and LUC boxes defined in section 2d. Transport
Figure 11b shows curves similar to those in Fig. 11a, except evaluated for the LUC box. Even though the upper surface of the LUC box does not exactly coincide with the lower surface of the LC box (Fig. 4), virtually all downwelling through the bottom of the LC box enters the LUC box [mathematically,
The LUC at 34°S, representing the part of the Flinders Current bending northward at Cape Leeuwin (Fig. 7), is very weak (0.2 Sv; Fig. 11b). As the LUC flows northward,
4. Summary and discussion
In this study, we use a high-resolution (⅛°), hydrographic dataset (CARS) to build a more complete picture of the mean and seasonal cycle of the Leeuwin Current System (LCS). Based on geostrophic currents obtained from CARS, we describe the spatial structure and annual variability of the Leeuwin Current (LC), Leeuwin Undercurrent (LUC), and south Indian Ocean (SIO) zonal currents, estimate their transports, and identify linkages among them. We use two methods to determine geostrophic velocities. The first (and traditional) one adopts a level of no motion d0 offshore and sets the alongshore velocity to zero on the shelf/slope (HH). A limitation of this approach, however, is that it allows flow across the bottom of the shelf/slope and therefore mass is not conserved. The second method, the one we use for most of our analyses, assumes that vertical velocity vanishes offshore at d0 and explicitly requires that there is no across-bottom flow nearshore [the zero divergence (ZD) method]. We checked the validity of both methods by applying them to the OFAM3 solution: They both produce reasonable alongshore flow fields provided that d0 ~ 1000 m (Fig. 1). For smaller d0, they lose accuracy since the reference-level velocity contains the equatorward-flowing LUC (Fig. 2), and for larger d0, the upper circulation starts to disintegrate because of (spurious) vertical shear in the model outputs near the bottom.
In CARS, the LC is located just off the WA shelf and is almost always directed poleward (Figs. 3, 4). Its strength, however, varies considerably along the coast due to jets and eddies; as a result, the LC can be quite weak or even reverse at some times and locations (Fig. 5).
The LC has a prominent annual cycle, attaining maximum values almost everywhere along the coast during May–June (Fig. 5). McCreary et al. (1986) argue that this seasonal variability is driven by the alongshore winds, which are weakest during May; the weaker southerly winds at that time decrease the offshore Ekman transport, thereby intensifying the net onshore flow that merges with the LC (section 3c). Ridgway and Godfrey (2015), on the other hand, argue that the seasonal variability of the LC is largely due to that of sea levels on the northern and northwestern shelf regions driven by winds and surface heat flux.
Our data are consistent with the former mechanism in that the seasonality of the onshore flow (
Interestingly, there is a distinct semiannual variability in the geostrophic component of the onshore flow (
Throughout the year, our LC transport values tend to be smaller than estimates by other researchers. Most of these studies are based on hydrographical snapshots or current meter moorings (e.g., Smith et al. 1991), the former including more energetic eddylike features and the latter not having sufficient horizontal resolution to separate the LC from offshore flows. We investigated the cause of the difference between our estimate of LC transport at 32°S and Feng et al.’s (2003), both of which are based on historical hydrographical data (Fig. 6). We found that the transport estimate is sensitive to the choice of level of no motion; choosing a level within the equatorward LUC (300 m as in Feng et al.) artificially increases the LC poleward transport. However, the strongest influence on the LC transport comes from the choice of the offshore limit of integration. Our integration limit varies with latitude to include only the poleward flow that is trapped to the coast. Integrating farther offshore (110°E in Feng et al.) artificially increases or decreases the LC poleward flow by including offshore meridional flows.
It is not known whether there is a mean poleward flow offshore of the core of the LC apart from the semipermanent eddies and meanders discussed in section 3a(1). M. Feng (2016, personal communication) and one anonymous reviewer suggested that the LC may have an offshore branch. Our view is that the LC is a poleward flow that is trapped to the continental slope/shelf and a poleward flow away from the slope is a dynamically different phenomenon, like the one off the coast of California (the Davidson Current), which is likely a Sverdrup flow driven by cyclonic wind curl (McCreary et al. 1987).
Figure 12 provides a schematic summary of the mean LCS flow. The LC is supplied by water from the tropics (0.3 Sv crosses 22°S in the annual mean) and by shallow (z > −200 m) eastward flows from the SIO (a net of 4.7 Sv integrated between 22° and 32°S), and it loses water through downwelling across its bottom (3.4 Sv; Fig. 11a). The shallow eastward flows thus contribute more to the LC transport than the poleward inflow at 22°S, an indication of the importance of the interior SIO forcing. Remarkably, the downwelling transport |
The LUC is present from 200 to 800 m along the WA continental slope, extending from Cape Leeuwin to the North West Shelf (Figs. 4, 7), and, like the LC, it exhibits prominent smaller-scale variations due to eddies and jets. These small-scale features tend to be vertically coherent to a depth of ~1000 m. As such, they are reminiscent of so-called striations (e.g., Nakano and Hasumi 2005; Maximenko et al. 2008; Taguchi et al. 2012), although the local velocity tends to change sign vertically because of the superimposed large-scale baroclinic flow (Fig. 9 and its discussion in section 3c). The annual cycle of the LUC is negatively correlated with that of the LC, its meridionally averaged transport having its minimum during May and its maximum during October.
At Cape Leeuwin, the LUC is supplied by water from the Flinders Current south of Australia (0.2 Sv crosses 34°S in Fig. 11b; Fig. 12). As it flows north, it is strengthened by downwelling from the LC and onshore flow from the SIO, the latter including an offshore retroflection of the Flinders Current (Fig. 12). The LUC then attains its maximum transport (3.4 Sv) at 28°S; farther equatorward, it starts to lose water by outflow into subsurface flow in the SIO. On average, the LUC accelerates by 1.5 Sv from 34° to 22°S, a result of a net downwelling of 3.5 Sv minus a net offshore flow of 2 Sv (Fig. 12).
Despite considerable effort (section 1), basic dynamics of the LCS remain unclear, particularly concerning the LUC. The McCreary et al. (1986) solution is appealing because it captures most of the LCS features in CARS within a simple theoretical framework, but given its deficiencies [section 1a(2)], it is not clear how accurately the model represents basic LCS dynamics.
Studies have indicated that the near-surface eastward flow is driven by the meridional density gradient [section 1a(3)]. In contrast, the forcing of the subsurface westward outflow from the LUC is less clear. In the McCreary et al. (1986) model, it results from the propagation of weakly damped Rossby waves from the eastern boundary. It may also be part of the Sverdrup gyre in the south Indian Ocean, at least sufficiently far offshore.
In conclusion, CARS provides a comprehensive, observational picture of the LCS flow field, and its properties point toward strong dynamical linkages among all its currents; near-surface eastward flow from the SIO merges with the LC, downwells into the LUC, and eventually bends offshore to join subsurface westward flow in the SIO. Of particular importance, the CARS data point to downwelling from the LC as being a key process; it provides a sink of water for the LC that prevents it from accelerating poleward and conversely is a source for the LUC that allows it to strengthen equatorward.
The CARS results highlight a number of dynamical questions that are not answered by existing theories and models. They include the following: 1) Just what processes cause the large and uniform
Acknowledgments
This study was supported by the Australian Research Council Discovery Projects (DP 130102088) and by the National Science Foundation through Grant OCE-0961716. RF was partially supported by the Japan Society for the Promotion of Science through KAKENHI 16K05562. We thank Jeff Dunn for updating the CARS Aus8 dataset (http://www.marine.csiro.au/atlas/) for this study. Thanks are extended to Catia Domingues, Earl Duran, Ming Feng, Viviane Menezes, Gary Meyers, Ken Ridgway, and Fabian Schloesser (alphabetical order) for helpful discussion. Comments from anonymous reviewers helped significantly improve and clarify this manuscript. We also acknowledge use of the Ferret program for analysis and graphics in this paper. Ferret is a product of NOAA’s Pacific Marine Environmental Laboratory. (Information is available at http://ferret.pmel.noaa.gov/Ferret/.)
APPENDIX
Results from OFAM3 and OFES
This appendix briefly compares the horizontal structures and volume budgets of the LC (z > −200 m) and LUC (−900 < z < −200 m) layers from the long-term mean OFAM3 absolute velocity to those from the CARS geostrophic velocity (Figs. 3, 7, 11).
Figure A1 shows the maps of the OFAM3 velocity integrated over the LC (left) and LUC (right) depth ranges. It is noteworthy that even the average over 13 yr includes eddylike features similar to those in the CARS field (Figs. 3, 7), although their amplitudes and locations are different and smaller-scale features are less prominent in OFAM3 than in CARS.
Figure A2 shows the same budget curves as Fig. 11 but for the OFAM3 absolute velocity field, which indicates that most of our conclusions on the CARS volume budgets (Fig. 11) hold. Namely, there is a net zonal inflow (
One difference is that the net zonal inflow and downwelling for the LC box are smaller in OFAM3 (~3.5 Sv, ~2 Sv; Fig. A2a) than in CARS (~4.5 Sv, ~3.5 Sv; Fig. 11a). Another difference is that the smaller-scale features in
Finally, we have made plots (not shown) comparable to Figs. A1 and A2 from another ⅝° eddy-resolving OGCM called OFES (Masumoto et al. 2004; Sasaki et al. 2008). The version of OFES used here is described in Sasaki et al. (2008) and is run under daily mean forcings derived from the NCEP–NCAR reanalysis (Kalnay et al. 1996) from 1950 to 2015. All properties stated above about OFAM3 qualitatively apply to the OFES results. In particular, eddylike features are still present in this 66-yr mean field although they are weaker than in OFAM3, and their locations are not always the same. The mean LC and LUC transports and associated zonal and vertical volume fluxes are also somewhat weaker.
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