1. Introduction
Over the North Atlantic, there are marked interannual variations in the atmosphere and ocean, as revealed in large-scale changes in sea surface temperature and sea level pressure (Bjerknes 1964; Kushnir 1994), diagnosed surface heat fluxes (Cayan 1992a), and patterns of deep convection (Dickson et al. 1996). Cayan (1992b) argued that atmospheric anomalies drive changes in the ocean since the tendency in sea surface temperature anomalies in winter correlate with latent and sensible heat flux anomalies. However, the mechanisms by which the ocean subsequently responds to interannual changes in atmospheric forcing are unclear. Here we focus on how the subduction process is altered through changes in atmospheric forcing.
Oceanic subduction determines the heat content and water-mass structure of the upper ocean. Fluid is transferred or subducted from the mixed layer into the upper thermocline through a combination of the circulation and buoyancy forcing. The subducted fluid is then insulated from the atmosphere until the fluid is reentrained back into the mixed layer in another location. Consequently, the subduction process provides a memory in the coupled atmosphere–ocean system.
A climatological view of subduction over the North Atlantic has been provided by Marshall et al. (1993, henceforth MNW). The annual subduction rate is evaluated in terms of the vertical and lateral volume flux passing through a control surface, defined by the base of the mixed layer at the end of winter (Fig. 1a). This control surface deepens poleward from 100 m in the middle of the subtropical gyre to 500 m or more in the subpolar gyre. Wind forcing induces downwelling of surface fluid over the subtropical gyre and upwelling over the subpolar gyre, which reaches magnitudes of typically 25 m yr−1 at the base of the winter mixed layer. Fluid is also transferred laterally from the winter mixed layer into the stratified thermocline. The resulting subduction rate into the main thermocline reaches between 50 and 100 m yr−1 over the subtropical gyre (Fig. 1b). There is a band of high subduction rates south of the Gulf Stream due to the lateral transfer; these kinematic calculations are broadly supported by Lagrangian diagnostics from a North Atlantic circulation model by Williams et al. (1995).
The gyre-scale subduction is associated with a buoyancy input into the mixed layer. Following a trajectory, a buoyancy input causes the mixed layer to lighten and shoal, which leads to mixed layer fluid being transferred into the stratified interior. MNW argued that this buoyancy input over the gyre scale is achieved through an atmospheric buoyancy input plus a wind-induced (Ekman) redistribution of buoyancy. However, this view of gyre-scale subduction may be modified by the rectified transport contribution by mesoscale eddies (Marshall 1997), which is particularly important in frontal zones and deep convection sites. In a region of eddy activity, the buoyancy budget following a time-mean trajectory can become misleading.1
In this study, we extend the MNW analysis and consider how buoyancy is supplied to the surface ocean to drive gyre-scale subduction for climatological and interannual timescales. For convenience, we prefer to discuss the subduction process in terms of heat fluxes and temperature changes, although the data diagnostics are evaluated in terms of buoyancy fluxes. In section 2, the thermodynamics of subduction is briefly reviewed and connected with the heat content of a Lagrangian water column. In section 3, the thermodynamic budget associated with subduction is diagnosed over the North Atlantic from 1950 to 1992, and is analyzed in terms of the climatological average and interannual variability. In section 4, the implications of the study are discussed.
2. Thermodynamics of subduction






The thermodynamic relation (2) by MNW and our approximated version (3) is obtained after a number of simplifying assumptions: (i) the rectified volume flux and heat transfer by mesoscale eddies is neglected, (ii) entrainment during the subduction period is ignored, and (iii) heat advection by the geostrophic flow within the seasonal thermocline is neglected (following scaling in the appendix of MNW). Consequently, the MNW diagnostics are more relevant to the interior of the subtropical and subpolar gyres rather than boundary current regions on sites of deep convection. Despite these limitations, support for the MNW diagnostics is provided by coupled mixed layer and thermocline studies (Marshall and Marshall 1995) and general circulation model diagnostics of the subduction rate and heat balance for the “Subduction Experiment” in the North Atlantic (Spall et al. 2000).
The crucial implication of these thermodynamic relations (2) and (3) is that atmospheric forcing can affect subduction either directly through a surface influx of heat or indirectly by an Ekman redistribution of heat. These contrasting contributions are illustrated here with simplified mixed-layer model experiments in Fig. 4; following similar mixed layer studies by J. M. Frederiuk and J. F. Price (1985, unpublished manuscript) and Woods and Barkmann (1988). In these Lagrangian experiments, the winter mixed layer shoals and fluid is subducted into the thermocline only when there is an annual heat input. The heat input is provided here either from the annual surface heat flux (Fig. 4b) or the Ekman convergence of heat (Fig. 4c).
We next examine how
3. Basin-scale diagnostics of the buoyancy flux driving subduction
a. Methodology
For convenience and following MNW, we prefer to discuss the contributions to the buoyancy budget (4) in terms of an effective heat flux,
The air–sea heat and freshwater fluxes, and wind stresses are taken from da Silva et al. (1994). The Ekman flux of buoyancy is then evaluated using monthly sea surface temperature (da Silva et al. 1994) and climatological monthly salinity (Levitus et al. 1994). The air–sea and Ekman buoyancy fluxes are evaluated every year from 1950 to 1992, where each year is defined as starting from the middle of March. For the buoyancy content changes, we choose to define the thickness of the column, D, by the thickness of the end of winter mixed layer, h(W1), and assume that ρD = ρ(W1).
We have developed a Lagrangian approach in order to understand the subduction process. When there is buoyancy input over a year, the winter mixed layer becomes lighter following a trajectory, which leads to more fluid being transferred into the main thermocline (Figs. 4b,c). Conversely, when there is buoyancy loss over a year, the winter mixed layer becomes denser following a trajectory, which leads to fluid being transferred from the main thermocline into the winter mixed layer/seasonal boundary layer. The horizontal scales that the surface and Ekman buoyancy fluxes vary over are generally much larger than the length of annual trajectories over the gyre interior. Consequently, for simplicity following MNW, we diagnose the buoyancy budget at fixed points, rather than take into account how the buoyancy fluxes change along a trajectory.
The buoyancy budget (4) is discussed first for the climatological balance and then for decadal and interannual variability.
b. Climatological buoyancy supply for subduction
The climatological-mean surface buoyancy flux is directed from the ocean into the atmosphere over much of the North Atlantic (Fig. 5a). The rescaled surface buoyancy flux,
The Ekman redistribution of buoyancy,
The buoyancy input for subduction,
In principle, our estimate of
c. Decadal changes in buoyancy supply for subduction
We now assess the extent to which the decadal and interannual variability in atmospheric forcing modifies the mechanisms by which buoyancy is supplied to drive subduction. Maps for the buoyancy flux supplied for subduction,
The decadal anomalies in the surface buoyancy flux and the Ekman redistribution of buoyancy are shown in Figs. 6b and 6c with shading representing an anomalous buoyancy input; the anomaly is defined by the difference in the average over a decade and the average from 1950 to 1992. The interannual variations in
d. Interannual changes in buoyancy supply for subduction
The standard deviation provides a measure of the interannual variability in the buoyancy supplied for subduction, evaluated from 1950 to 1992 (Fig. 7). The standard deviation in the surface buoyancy flux is equivalent to 15 W m−2 in terms of a heat flux. In contrast, the standard deviation of the Ekman redistribution of buoyancy is only equivalent to 4 W m−2 over much of the North Atlantic but rises to 20 W m−2 in the northwest Atlantic. Consequently, the resulting standard deviation in
Time series of the anomalies of
This partial compensation is revealed in a map of correlation coefficients between
Given the significant interannual variation in
e. Connection with the North Atlantic Oscillation
The dominant mode of atmospheric variability over the North Atlantic is associated with the North Atlantic Oscillation (NAO) (Hurrell 1995), which alters air–sea fluxes (Cayan 1992a) and the patterns of winter convection (Dickson et al. 1996; Williams et al. 2000). There is a tripole pattern in the correlation between the wintertime surface heat flux and the NAO (Fig. 11a), which is due to the wintertime patterns of the sensible and latent heat flux (Cayan 1992a). For example, this pattern is evident in the decadal maps for surface heat flux in Fig. 6b, which shows a characteristic NAO− state for 1960–69 and a NAO+ state in 1980–89.
The correlation pattern between
The similarity in the correlation maps in Fig. 11 is due to the variability in the air–sea heat flux dominating the variability in
4. Discussion
The subduction process provides a mechanism by which atmospheric forcing alters the heat content and water mass structure of the upper ocean. Subduction is achieved over the gyre scale through a combination of a surface buoyancy input from the atmosphere and an Ekman redistribution of buoyancy from the Tropics.
The buoyancy flux,
Our climatological analysis over the North Atlantic suggests that gyre-scale subduction is not achieved by an atmospheric input of buoyancy, but rather by an Ekman redistribution of buoyancy. MNW obtain the same result using a similar thermodynamic approach, but with different climatological data. In addition, Spall et al. (2000) diagnose that the same balance operated over the “Subduction Experiment” in the North Atlantic.
The dominant contributions to the buoyancy budget for gyre-scale subduction vary for interannual timescales. The variations in the buoyancy supplied for subduction are instead controlled by the changes in the surface buoyancy flux rather than the changes in the Ekman buoyancy flux. Consequently,
The interannual variations in the buoyancy flux driving subduction are particularly large compared with its climatological value over the Tropics and much of the subtropical gyre. Over the eastern half of the subtropical gyre
Acknowledgments
This study was supported by the UK NERC COAPEC programme (NER/T/S/2000/00305). We thank David Marshall for helpful discussions, and AM is grateful to Plymouth Marine Laboratory for providing host facilities.
REFERENCES
Bjerknes, J., 1964: Atlantic air–sea interaction. Advances in Geophysics, Vol. 20, Academic Press, 1–82.
Cayan, D. R., 1992a: Latent and sensible heat flux anomalies over the northern oceans: The connection to monthly atmospheric circulation. J. Climate, 5 , 354–369.
Cayan, D. R., 1992b: Latent and sensible heat flux anomalies over the northern oceans: Driving the sea surface temperature. J. Phys. Oceanogr, 22 , 859–881.
da Silva, A. M., C. C. Young, and S. Levitus, 1994: Atlas of Surface Marine Data 1994. Vol. 1: Algorithms and Procedures, NOAA Atlas NESDIS 6, 83 pp.
Dickson, R., J. Lazier, J. Meinke, P. Rhines, and J. Swift, 1996: Long term coordinated changes in the convective activity of the North Atlantic. Progress in Oceanography, Vol. 38, Pergamon, 241–295.
Hurrell, J. W., 1995: Decadal trends in the North Atlantic Oscillation: Regional temperatures and precipitation. Science, 269 , 676–679.
Kalnay, E., and Coauthors,. . 1996: The NCEP/NCAR 40-Year Reanalysis Project. Bull. Amer. Meteor. Soc, 77 , 437–471.
Kushnir, Y., 1994: Interdecadal variations in North Atlantic sea surface temperature and associated atmospheric conditions. J. Climate, 7 , 141–157.
Levitus, S., R. Burgett, and T. P. Boyer, 1994: World Ocean Atlas 1994. Vol. 3: Salinity, NOAA Atlas NESDIS 3, 99 pp.
Marshall, D., 1997: Subduction of water masses in an eddying ocean. J. Mar. Res, 55 , 201–222.
Marshall, D., and J. C. Marshall, 1995: On the thermodynamics of subduction. J. Phys. Oceanogr, 25 , 138–151.
Marshall, J. C., A. J. G. Nurser, and R. G. Williams, 1993: Inferring the subduction rate and period over the North Atlantic. J. Phys. Oceanogr, 23 , 1315–1329.
Marshall, J. C., D. Jamous, and J. Nilsson, 1999: Reconciling thermodynamic and dynamic methods of computing water-mass transformation rates. Deep-Sea Res, 46 , 545–572.
Nurser, A. J. G., and J. C. Marshall, 1991: On the relationship between subduction rates and diabatic forcing of the mixed layer. J. Phys. Oceanogr, 21 , 1793–1802.
Nurser, A. J. G., R. Marsh, and R. G. Williams, 1999: Diagnosing water mass formation from air–sea fluxes and surface mixing. J. Phys. Oceanogr, 29 , 1468–1487.
Spall, M. A., R. A. Weller, and P. W. Furey, 2000: Modelling the three-dimensional upper ocean heat budget and subduction rate during the Subduction Experiment. J. Geophys. Res, 105 , 26151–26166.
Walin, G., 1982: On the relation between sea-surface heat flow and thermal circulation in the ocean. Tellus, 34 , 187–195.
Williams, R. G., M. A. Spall, and J. C. Marshall, 1995: Does Stommel's mixed layer “demon” work? J. Phys. Oceanogr, 25 , 3089–3102.
Williams, R. G., A. J. McLaren, and M. J. Follows, 2000: Estimating the convective supply of nitrate and implied variability in export production over the North Atlantic. Global Biogeochem. Cycles, 14 , 1299–1313.
Woods, J. D., and W. Barkmann, 1988: A Lagrangian mixed-layer model of Atlantic 18°C water formation. Nature, 319 , 574–576.
APPENDIX
Lagrangian Annual Heat Budget









(a) Schematic diagram of the subduction rate, Sann, measuring the volume flux per unit horizontal area passing through a control surface into the main thermocline. The control surface is defined by the base of the end of winter mixed layer, H (long dashed line); Ue represents the horizontal Ekman volume flux and its convergence induces a vertical Ekman velocity, we. (b) Diagnostics of the subduction rate into the main thermocline (m yr−1) (following the method described in MNW) where Sann is evaluated in a Eulerian frame by the volume flux passing across the control surface, Sann = −wH − uH · ∇H, where wH and uH are climatological estimates of the vertical and horizontal velocities along the control surface. Shaded values denote subduction
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2

(a) Schematic diagram of the subduction rate, Sann, measuring the volume flux per unit horizontal area passing through a control surface into the main thermocline. The control surface is defined by the base of the end of winter mixed layer, H (long dashed line); Ue represents the horizontal Ekman volume flux and its convergence induces a vertical Ekman velocity, we. (b) Diagnostics of the subduction rate into the main thermocline (m yr−1) (following the method described in MNW) where Sann is evaluated in a Eulerian frame by the volume flux passing across the control surface, Sann = −wH − uH · ∇H, where wH and uH are climatological estimates of the vertical and horizontal velocities along the control surface. Shaded values denote subduction
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2
(a) Schematic diagram of the subduction rate, Sann, measuring the volume flux per unit horizontal area passing through a control surface into the main thermocline. The control surface is defined by the base of the end of winter mixed layer, H (long dashed line); Ue represents the horizontal Ekman volume flux and its convergence induces a vertical Ekman velocity, we. (b) Diagnostics of the subduction rate into the main thermocline (m yr−1) (following the method described in MNW) where Sann is evaluated in a Eulerian frame by the volume flux passing across the control surface, Sann = −wH − uH · ∇H, where wH and uH are climatological estimates of the vertical and horizontal velocities along the control surface. Shaded values denote subduction
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2

Schematic diagram of a mixed-layer thickness cycle (thick dashed line) following a Lagrangian water column. The mixed layer is thick and cool at the end of the first winter, W1, thins and warms over the spring and summer, then thickens and cools again until the end of the second winter, W2. If there is an overall heat input into the column, the mixed layer becomes thinner and warmer over the annual cycle. This warming leads to fluid being subducted (during the subduction period from W1 and S1) and passing irreversibly into the main thermocline. In this Lagrangian frame, the subduction rate into the main thermocline, Sann, consists of a vertical pumping contribution and a lateral transfer due to the shoaling of the winter mixed layer. Isotherms subducted from the end of winter mixed layer are depicted by the thin full lines. The base of the seasonal thermocline is marked by the thin dashed line
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2

Schematic diagram of a mixed-layer thickness cycle (thick dashed line) following a Lagrangian water column. The mixed layer is thick and cool at the end of the first winter, W1, thins and warms over the spring and summer, then thickens and cools again until the end of the second winter, W2. If there is an overall heat input into the column, the mixed layer becomes thinner and warmer over the annual cycle. This warming leads to fluid being subducted (during the subduction period from W1 and S1) and passing irreversibly into the main thermocline. In this Lagrangian frame, the subduction rate into the main thermocline, Sann, consists of a vertical pumping contribution and a lateral transfer due to the shoaling of the winter mixed layer. Isotherms subducted from the end of winter mixed layer are depicted by the thin full lines. The base of the seasonal thermocline is marked by the thin dashed line
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2
Schematic diagram of a mixed-layer thickness cycle (thick dashed line) following a Lagrangian water column. The mixed layer is thick and cool at the end of the first winter, W1, thins and warms over the spring and summer, then thickens and cools again until the end of the second winter, W2. If there is an overall heat input into the column, the mixed layer becomes thinner and warmer over the annual cycle. This warming leads to fluid being subducted (during the subduction period from W1 and S1) and passing irreversibly into the main thermocline. In this Lagrangian frame, the subduction rate into the main thermocline, Sann, consists of a vertical pumping contribution and a lateral transfer due to the shoaling of the winter mixed layer. Isotherms subducted from the end of winter mixed layer are depicted by the thin full lines. The base of the seasonal thermocline is marked by the thin dashed line
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2

Schematic diagram of the heat balance for a Lagrangian water column following the geostrophic flow. The water column increases its heat content through a surface heat flux,
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2

Schematic diagram of the heat balance for a Lagrangian water column following the geostrophic flow. The water column increases its heat content through a surface heat flux,
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2
Schematic diagram of the heat balance for a Lagrangian water column following the geostrophic flow. The water column increases its heat content through a surface heat flux,
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2

Modeled annual cycle is mixed layer thickness (thick solid line) and temperature in the seasonal boundary layer (dashed lines): (a) no annual surface heat flux and no Ekman pumping; (b) annual surface heat flux of 10 W m−2 and no Ekman pumping; (c) no annual surface heat flux and an Ekman pumping of 25 m yr−1. The isotherm marking the mixed layer temperature at the end of the second winter is denoted by a thin full line. In (a), when there is no surface annual heat input or Ekman pumping, there is no annual subduction. In (b), the annual surface heat flux leads to
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2

Modeled annual cycle is mixed layer thickness (thick solid line) and temperature in the seasonal boundary layer (dashed lines): (a) no annual surface heat flux and no Ekman pumping; (b) annual surface heat flux of 10 W m−2 and no Ekman pumping; (c) no annual surface heat flux and an Ekman pumping of 25 m yr−1. The isotherm marking the mixed layer temperature at the end of the second winter is denoted by a thin full line. In (a), when there is no surface annual heat input or Ekman pumping, there is no annual subduction. In (b), the annual surface heat flux leads to
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2
Modeled annual cycle is mixed layer thickness (thick solid line) and temperature in the seasonal boundary layer (dashed lines): (a) no annual surface heat flux and no Ekman pumping; (b) annual surface heat flux of 10 W m−2 and no Ekman pumping; (c) no annual surface heat flux and an Ekman pumping of 25 m yr−1. The isotherm marking the mixed layer temperature at the end of the second winter is denoted by a thin full line. In (a), when there is no surface annual heat input or Ekman pumping, there is no annual subduction. In (b), the annual surface heat flux leads to
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2

Climatological average of the buoyancy flux, evaluated from 1950 to 1992, and converted to an effective heat flux (W m−2): (a) surface buoyancy flux,
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2

Climatological average of the buoyancy flux, evaluated from 1950 to 1992, and converted to an effective heat flux (W m−2): (a) surface buoyancy flux,
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2
Climatological average of the buoyancy flux, evaluated from 1950 to 1992, and converted to an effective heat flux (W m−2): (a) surface buoyancy flux,
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2

Decadal maps of the effective buoyancy flux from 1950 to 1990 converted into an effective heat flux (W m−2): (a) buoyancy-flux-driven subduction,
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2

Decadal maps of the effective buoyancy flux from 1950 to 1990 converted into an effective heat flux (W m−2): (a) buoyancy-flux-driven subduction,
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2
Decadal maps of the effective buoyancy flux from 1950 to 1990 converted into an effective heat flux (W m−2): (a) buoyancy-flux-driven subduction,
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2

Standard deviation in the buoyancy flux, evaluated from 1950 to 1992 and converted to an effective heat flux (W m−2): (a) surface heat flux,
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2

Standard deviation in the buoyancy flux, evaluated from 1950 to 1992 and converted to an effective heat flux (W m−2): (a) surface heat flux,
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2
Standard deviation in the buoyancy flux, evaluated from 1950 to 1992 and converted to an effective heat flux (W m−2): (a) surface heat flux,
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2

Time series in the annual anomalies in buoyancy flux for subduction, Δ
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2

Time series in the annual anomalies in buoyancy flux for subduction, Δ
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2
Time series in the annual anomalies in buoyancy flux for subduction, Δ
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2

Correlation map between the surface buoyancy flux,
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2

Correlation map between the surface buoyancy flux,
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2
Correlation map between the surface buoyancy flux,
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2

(a) Time series for the area (1012 m2) over which
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2

(a) Time series for the area (1012 m2) over which
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2
(a) Time series for the area (1012 m2) over which
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2

Correlation map between the North Atlantic Oscillation index (Hurrell 1995) and (a) the winter surface heat flux and (b)
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2

Correlation map between the North Atlantic Oscillation index (Hurrell 1995) and (a) the winter surface heat flux and (b)
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2
Correlation map between the North Atlantic Oscillation index (Hurrell 1995) and (a) the winter surface heat flux and (b)
Citation: Journal of Physical Oceanography 31, 11; 10.1175/1520-0485(2001)031<3284:IVITTO>2.0.CO;2
In regions of eddy activity, it is preferable to consider the area-averaged surface buoyancy loss over a density outcrop, which is related to a diapycnal volume flux and its convergence to a rate of water mass formation in density space (Walin 1982; Marshall 1997; Nurser et al. 1999). However, this water mass formation is only equivalent to the area-integrated subduction rate over a density outcrop in the limit of no diffusive mixing within the seasonal boundary layer (Marshall et al. 1999).