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Seasonal salt budget of the northwestern tropical
Atlantic Ocean along 38oW
Gregory R. Foltz, Semyon A. Grodsky*, James A. Carton, and Michael J. McPhaden1
Draft
July 18, 2003
Department of Meteorology University of Maryland College Park, MD 20742 1NOAA/Pacific Marine Environmental Laboratory 7600 Sand Point Way NE Seattle, WA 98115
* corresponding author: [email protected]
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Abstract
The western tropical Atlantic has a complex salt budget, with strong seasonal river
discharge, precipitation, evaporation, and the confluence of different water masses all
contributing. This paper addresses the atmospheric and oceanic causes of the seasonal budget of
mixed layer salinity based on direct observations. Data sets include up to five years (September
1997 - December 2002) of measurements from moored buoys of the Pilot Research Array in the
Tropical Atlantic (PIRATA), ship-intake salinity observations, and near-surface drifting buoys.
We analyze the mixed layer salt balance at four PIRATA mooring locations along the 38oW
(4oN, 8oN, 12oN, and 15oN). At 4oN precipitation is primarily semiannual. Here there are also
strong contributions from zonal and meridional advection. The sum of the three balances a strong
annual cycle of local storage. The strongest seasonal cycle of precipitation occurs at 8oN and is
balanced by horizontal advection and local storage. At 12oN the balance is mostly local, with
only a minor contribution from horizontal advection. At 15oN horizontal advection plays a key
role in balancing a semiannual cycle of local storage.
1. Introduction
Salinity affects the density of seawater, spatial gradients of which affect buoyancy,
turbulent mixing, and ocean currents. Recent numerical modeling studies indicate that realistic
three-dimensional salinity fields are required in order to accurately represent tropical ocean
dynamics and thermodynamics (Murtugudde and Busalacchi, 1998; Vialard and Delecluse,
1998). In support of these modeling results, a number of observational studies show that changes
in mixed layer salinity can dramatically affect currents and temperature in the tropics through the
formation of barrier layers (Lukas and Lindstrom, 1991; Roemmich et al., 1994; Pailler et al.,
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1999). In this study we use in situ and satellite data to determine the oceanic and atmospheric
causes of the seasonal cycle of mixed layer salinity in the tropical Atlantic.
The flux of moisture at the ocean’s surface is given by the difference between
precipitation and evaporation. The annual mean surface moisture flux in the tropical Atlantic
reflects the mean position of the Intertropical Convergence Zone (ITCZ) and the subtropical
high-pressure systems. In the southern (south of 5°S) and northern (north of 10°N) tropical
Atlantic, annual mean evaporation dominates precipitation, while in the latitude band of the
ITCZ precipitation dominates, with a (zonally averaged) peak of 20 cm mo-1 near 5°N (Yoo and
Carton, 1990). Seasonal changes in the surface moisture flux result mainly from latitudinal
movements of the ITCZ.
The seasonal cycle of evaporation is primarily annual throughout most of the tropical
Atlantic, with increasing amplitude toward the subtropics. In the northern tropics, evaporation
peaks in boreal winter. In this season, the ITCZ is situated close to its southernmost latitude, with
increasing northeast trade winds and decreasing relative humidity northward from the equator. In
boreal summer and fall, the ITCZ is located near its northernmost latitude (10 - 12°N), resulting
in higher relative humidity, lower wind speed, and less evaporation north of 5°N. Between the
equator and 8°N the double passage of the ITCZ results in a significant semiannual harmonic,
with highest amplitude in the west (da Silva et al., 1994).
The seasonal cycle of precipitation in the tropical Atlantic results from meridional
movements of the ITCZ and zonal shifts of convergence within it. In April, a band of high
precipitation (> 20 cm mo-1) is situated west of 30°W between 5°S and 5°N, increasing westward
toward the coast of South America. Precipitation is also high (> 15 cm mo-1) at this time in the
Gulf of Guinea, increasing eastward along the equator toward the African coast. During May
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through August the zonal band of high rainfall (> 20 cm mo-1) shifts northward and increases in
intensity to up to 60 cm mo-1 near the African coast. From September through March, the ITCZ
drifts southward from its northernmost latitude (~ 10-12°N during August), while the region of
high rainfall decreases in intensity and becomes increasingly concentrated in the western basin.
As a result, the seasonal cycle of precipitation acquires a significant semiannual harmonic near
5°N, with maxima in June and December.
In addition to the surface moisture flux, ocean dynamics can affect mixed layer salinity.
Near-surface currents in the tropical Atlantic are dominated by the westward South Equatorial
Current south of 5°N and the eastward North Equatorial Countercurrent centered near 5°N (see
Fig. 1). The intensity of these zonal currents fluctuates seasonally in response to the seasonal
movement of the ITCZ and associated changes in near-surface winds. Near the equator, the
South Equatorial Current is strongest in boreal summer, with speeds exceeding 50 cm s-1 in mid
basin. On and just north of the equator are found strong velocity and temperature fluctuations
associated with tropical instability waves, which we anticipate are also important in mixing
salinity. Near the western boundary, the South Equatorial Current feeds the North Brazil Current,
which flows continuously northward toward the Caribbean during boreal winter and spring. In
boreal summer and fall, part of the North Brazil Current curves back upon itself near 8°N, then
flows eastward to feed the North Equatorial Countercurrent. In the process, strong eddies form in
the western basin between the equator and 10°N (Richardson and Reverdin, 1987). These eddies
have little effect on sea surface temperature (SST) due to weak gradients of SST in the western
basin. However, we anticipate that they may have a significant effect on mixed layer salinity due
to Amazon River discharge and rainfall associated with the ITCZ.
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The large-scale spatial distribution of sea surface salinity (SSS) in the tropical Atlantic
(see Fig. 1) to a large extent reflects the annual mean surface moisture flux. SSS is highest in the
subtropics (> 36 psu), where annual mean evaporation exceeds precipitation, and decreases to a
minimum near 5°N (< 35 psu in the east), where precipitation reaches a maximum.
Although the surface moisture flux contributes significantly to the annual mixed layer
salinity budget in the tropical Atlantic, horizontal advection also plays an important role. Indeed,
Johnson et al. (2002) found that a substantial portion of the annual mean freshwater flux in the
tropical oceans is balanced by oceanic transports within the surface layer (upper 32.5 m).
They found large contributions from both horizontal and vertical advection near the equator in
the eastern tropical Atlantic and from meridional advection in the northwest, where meridional
currents and salinity gradients are strong (see Fig. 1). Observational studies in the tropical
Pacific have also stressed the importance of horizontal advection in the mixed layer salinity
budget on seasonal to interannual time scales (e.g., Delcroix and Henin, 1991; Cronin and
McPhaden, 1998; Delcroix and Picaut, 1998; Henin et al., 1998).
Several observational studies have addressed the seasonal cycle of surface salinity in the
western basin. Dessier and Donguy (1994) show that the seasonal cycle is strongly influenced by
river discharge, advection by ocean currents, and local rainfall. In boreal winter a region of fresh
water (< 36 psu) extends northwestward along the coast of South America from the mouth of the
Amazon to 15°N. In boreal spring, as outflow from the Amazon increases, the fresh pool
expands outward from the coast to 45°W and northward into the Caribbean. By late boreal
summer and fall, coincident with the arrival of the ITCZ and the strengthening of the North
Equatorial Countercurrent, a band of fresh water extends eastward across the basin between 4°
and 10°N. Associated with this fresh pool is a significant barrier layer that is maintained at the
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surface by eastward advection from the Amazon and at depth by southwestward advection of
high-salinity water subducted in the subtropics (Sprintall and Tomczak, 1992; Pailler et al.
1999). Further south the seasonal cycle of surface salinity acquires a significant semiannual
harmonic in the central basin.
Based on a limited number of observational studies in the tropical Atlantic, it is clear that
evaporation, precipitation, and horizontal advection all contribute to the observed seasonal cycle
of mixed layer salinity. The need to understand the seasonal cycle of mixed layer salinity has
been supported by modeling studies, which reveal that mixed layer salinity contributes
significantly to upper ocean dynamic height and potentially SST, through the formation of
barrier layers. In this study we examine the seasonal mixed layer salinity budget using new
comprehensive oceanic and surface meteorological data sets from four PIRATA mooring
locations in the western tropical Atlantic. Our study complements an earlier analysis of the
mixed layer heat balance using similar data sets at the PIRATA mooring sites (Foltz et al.,
2003).
2. Data and Methods
Applying the methodology of Stevenson and Niiler (1983) and Delcroix and Henin
(1991) to the mixed layer salt balance gives
( ) ( ) hh
e FSPEdzSvwSSvSvhtSh −
−
+−+⋅∇−∆−′∇⋅′+∇⋅−=∂∂
∫ )(ˆˆ0 rrr (1a)
⎟⎠⎞
⎜⎝⎛ ⋅∇+∂∂
= vhthHwe
r (1b)
The terms in (1a) represent, from left to right, local salt storage, horizontal advection (separated
into monthly mean and eddy terms), entrainment, vertical salinity/velocity covariance, surface
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moisture flux, and turbulent diffusion at the base of the mixed layer. Entrainment velocity (1b) is
associated with a mass flux that crosses an isopycnal surface (H is the Heaviside unit function).
Here h is the depth of the mixed layer, S and vr are salinity and velocity, respectively, vertically
and monthly averaged from the surface to a depth of –h, S ′ and v ′r are deviations from their
monthly means (the overbar represents a monthy mean), and vS r represent deviations from the
vertical average, , E is evaporation, and P is precipitation. We have found that the
vertical salinity/velocity covariance term in (1a) is insignificant (< 0.7 mg m
hSSS −−=∆
-2 s-1 on a monthly
basis) at all locations considered in this study (based on climatological subsurface data from the
SODA reanalysis of Carton et al., 2000). We therefore proceed to neglect this term. We also
neglect vertical turbulent diffusion (last term on the right), although studies in the equatorial
Pacific (e.g., Hayes et al., 1991; Lien et al., 2002) indicate that this term may contribute
significantly along the equator.
The PIRATA mooring array (Servain et al., 1998) consists of 12 buoys. We focus on the
four westernmost moorings with record lengths exceeding three years (see Fig. 1). Deployed in
1997 to study ocean-atmosphere interactions, these Next Generation Autonomous Temperature
Line Acquisition System (ATLAS) buoys measure subsurface ocean temperature and salinity,
rainfall, and surface air temperature, relative humidity, and wind velocity. Ocean temperature is
measured at 11 depths between 1 and 500 m with 20 m spacing in the upper 140 m, while
salinity is measured only at 1, 20, 40, and 120 m. The 1 m temperature and salinity sensors
provide bulk measures of SST and SSS, respectively. Air temperature and relative humidity are
measured at a height of 3 m above sea level, while rainfall and wind velocity are measured at 3.5
and 4 m, respectively. The sampling interval is ten minutes for all variables except rainfall,
which is sampled at one-minute intervals. The instrument accuracies are: water temperature
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within ± 0.01°C, salinity within ± 0.02 psu, wind speed ± 0.3 m s-1 or 3% (whichever is greater),
air temperature ± 0.2°C, relative humidity ± 3%, and rainfall ± 0.4 mm hr-1 (Freitag et al., 1994,
1999, 2001; Serra et al., 2001, Lake et al., 2003). Here we use both 10-minute and daily
averaged data, which are transmitted in near-real time via satellite by Service Argos.
All 10-minute PIRATA data used in this study (precipitation, air temperature, relative
humidity, SST, and wind speed) have been analyzed by PMEL/NOAA for quality control
purposes (Freitag et al., 1999). The quantity of 10-minute quality-controlled subsurface salinity
data is low and thus we use daily-averaged values based on real-time data streams, which are
available with minimal quality control (H. P. Freitag, personal communication, 2003). We have
carried out our own quality control, which includes subjective removal of uncharacteristic high-
frequency oscillations, removal of data with a significant bias (> 1 psu) with respect to the mean
of the remaining time series at that location, and elimination of data at multiple depth levels if
the difference in salinity between the levels rapidly changes (indicating instrument drift).
Precipitation is available directly from the moorings. In contrast, evaporation is estimated
using the bulk parameterization, )( qqWCE sea −= ρ , where E is evaporation rate, aρ is air
density, is the transfer coefficient, W is wind speed, q is the water vapor mixing ratio, and
is the interfacial water vapor mixing ratio, which is assumed to be proportional
to the saturation water vapor mixing ratio (the factor of 0.98 accounts for salinity effects). Tests
of this algorithm, developed from the Coupled Ocean-Atmosphere Response Experiment
(COARE) in the tropical west Pacific have revealed a negative bias of 0.16 cm mo
eC
( )ssats Tqq 98.0=
-1 (Fairall et
al., 1996). We use ten-minute measurements of air temperature, SST, wind speed, and relative
humidity to estimate evaporation and neglect both cool skin and warm layer effects (see Foltz et
al., 2003 for an estimate of their magnitudes).
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Following the procedure of Foltz et al. (2003), we estimate the mixed layer depth as the
depth at which density is 0.15 kg m-3 greater than the nighttime surface value (a 0.15 kg m-3
density step approximately corresponds to a 0.5 oC temperature drop at SST=28 oC and SSS=36
psu). Throughout much of the ocean upper ocean, density is controlled primarily by temperature.
However, the western tropical Atlantic is affected by strong precipitation, river discharge, and
persistent salinity fronts, all of which influence the mixed layer stratification. At the two
southern locations (4°N and 8°N) the difference between the isothermal layer depth and the
mixed layer depth (defining the barrier layer thickness) is greatest in boreal fall (see Figs. 2c,
2d). These thick barrier layers (reaching 40 m at 4°N) develop in response to the eastward
extension of the low-salinity Amazon plume, driven by the seasonal strengthening of the North
Equatorial Countercurrent in late summer and fall (Carton, 1991; Pailler et al., 1999), and in
response to ITCZ rainfall that develops in summer through fall at 8°N and twice per year (winter
and late spring/early summer) at 4°N. The barrier layer widens to up to 20 m in boreal fall at
8°N. At 4oN a barrier layer persists throughout the year, thickening to ~30 m in early spring and
up to ~40 m in early fall. At the two northern mooring locations (12°N and 15°N) the barrier
layer widens in boreal winter, in phase with the strengthening of the northeasterly trade winds
(Figs. 2a, 2b) and supported by the northward wind-driven transport of lower salinity waters and
their interaction with the subtropical salinity front. At 12oN a moderate thickness (~ 10 m)
barrier layer is apparent during boreal fall and early winter. At 15oN the barrier layer widens to
~ 30 m in winter and gradually recedes during spring.
To calculate horizontal salt advection and entrainment velocity we first estimate the
seasonal cycle of near-surface (~ 15 m) horizontal velocity following the procedure of Grodsky
and Carton (2001) and Foltz et al. (2003). This method uses on quasi-Lagrangian drifter
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velocity, ship-drift velocity, and satellite-based sea level and wind stress. We anticipate that
meridional velocity in the mixed layer is primarily the result of Ekman drift (since the trade
winds are mainly zonal in the western basin) that decreases with increasing depth. We therefore
apply a correction that assumes a linear decrease in meridional velocity from the observed value
at 15 m to zero at -h, following Foltz et al. (2003). No correction is applied for h < 15 m since
we cannot accurately estimate surface velocity needed for interpolation from 15 m to the surface.
Since we cannot estimate the vertical distribution of zonal velocity (we anticipate that it depends
strongly on horizontal pressure gradients, which we cannot calculate), we have not applied a
correction to zonal velocity estimates. We also use divergence of the velocity estimates, as well
as estimates of the time derivative of mixed layer depth based on PIRATA subsurface
temperature and salinity, to calculate we (see (1b)). Horizontal gradients of mixed layer depth are
estimated from a monthly climatology of White (1995).
Monthly climatological SSS gradients are obtained from the climatology of Dessier and
Donguy (1994), based on near-surface ship intake salinity measurements.
Since we are interested primarily in the seasonal cycle, we eliminate high-frequency
variability by fitting each term in (1a) to annual and semiannual harmonics using least squares
(Fourier) analysis (see Appendix for further details). The fitting procedure contains errors due to
a combination of missing PIRATA data coverage and interannual variability. In particular,
climatologies of different PIRATA variables may incorporate data from different time periods
(see Fig. 4). For this reason we display the number of daily PIRATA measurements that go into
each estimate at each location. Estimates of each term in (1) use a maximum of about 150
individual daily measurements per calendar month (since most PIRATA moorings have been
operational for about five years). Low counts (<< 150) indicate high uncertainty. Although the
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data span a maximum of 5 years, they reveal a discernable seasonal cycle for all surface
variables, illustrated for 8oN in Fig. 4.
3. Results
In this section we examine the balance of terms in (1a), beginning with the northern
locations.
a) 15°N and 12°N
At these sites, surface fluxes contribute significantly to seasonal salt storage (Figs. 5, 6).
The surface moisture flux is mostly annual and is connected to the seasonal meridional march of
the ITCZ. Rainfall is significant during August – October, when the ITCZ is near its
northernmost position, while evaporation at this time is at a minimum. As a result, surface
salinity decreases at both locations during late boreal summer and early fall. In boreal winter the
ITCZ shifts southward (see Fig. 3d for the ITCZ position), resulting in decreased rainfall at 12oN
and 15oN. The southward ITCZ shift also results in a strengthening of the northeast trade winds
and a decrease in relative humidity that, in turn, lead to high rates of evaporation. These changes
in the surface flux cause surface salinity to increase at 12°N. At 15°N, ocean dynamics
counteract the effects of evaporation, leading to weak freshening in boreal winter.
At 12oN surface fluxes are primarily responsible for the seasonal cycle of the mixed layer
salinity, while ocean dynamics play a lesser role. The zonal gradient of salinity is weak, resulting
in a very weak seasonal cycle of zonal advection. Interestingly, there are seasonal variations in
the meridional salinity gradient that reflect the meridional march of the ITCZ. Indeed, the
meridional gradient at 12oN increases in boreal summer and fall (Fig. 3c). However, the mixed
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layer is shallow (Fig. 2b) and the meridional currents are weak during this season, reducing the
contribution of horizontal advection to the seasonal salinity budget.
In contrast, at 15oN horizontal transport is an important factor in the annual and
semiannual signal of the salt budget. Meridional advection has a strong annual cycle at 15°N
(Fig. 5). Meridional velocity reaches a maximum during boreal winter (Fig. 3d), when the
westward northeast trade winds and resultant northward Ekman drift are strong. As at 12°N,
seasonal variations of the meridional salinity gradient at 15°N result from meridional movements
of the subtropical surface salinity front. The northward gradient is strongest during boreal winter,
when evaporation rates are high to the north and rainfall is abundant to the south (Fig. 3c).
During this season, there is a strong northward component of velocity and a deep mixed layer
(Fig. 2a), providing a significant source of freshening at 15°N.
Zonal transport at 15oN is weaker than meridional transport (see Fig. 5) due to weaker
zonal gradients of surface salinity. Zonal surface salinity gradients are negative (i.e., higher
salinity in the west) throughout most of the year, becoming positive only during boreal spring
and late fall. Hence, the westward currents provide a source of freshening that varies
semiannually. The decrease in negative zonal salt transport partially accounts for the positive rate
of storage in boreal spring (see Fig. 5).
Entrainment at 15°N as well as 12oN results from a deepening mixed layer in boreal fall
and winter that acts to increase mixed layer salinity.
b) 8°N and 4°N
We next consider the mixed layer salinity balance at two locations within the latitudinal
range of the ITCZ (8°N and 4°N; Figs. 7, 8). Rainfall at 8°N is dominated by the annual
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harmonic, with a maximum in early fall when the ITCZ is farthest north. At 4°N a significant
semiannual harmonic appears, associated with the double passage of the ITCZ in May-June and
December. Seasonal variations of evaporation at these locations are somewhat weaker than those
to the north (12°N and 15°N) due to weaker wind speed and higher relative humidity (especially
at 4°N). Although precipitation is the most important factor affecting seasonal variations of
mixed layer salinity at 8°N and 4°N, horizontal transport is also important.
At 8°N the meridional gradient of salt is positive throughout the year, except during
boreal fall, and experiences substantial variability (see Fig. 3c). In fall the gradient becomes
negative in response to the presence of ITCZ rainfall to the north (see Fig. 3d for the ITCZ
latitude). As a result, meridional advection by prevailing northward currents freshens the mixed
layer in winter and spring but increases mixed layer salinity in fall (Fig. 7). At 4°N the
meridional gradient of salinity is negative throughout the year (Fig. 3c), reaching a maximum in
boreal summer, when both the ITCZ and the Amazon freshwater plume are situated to the north.
In this season, meridional velocity also reaches a maximum at 4°N (Fig. 3d), resulting in
significant northward salt advection.
Zonal advection also contributes significantly at 8°N and 4oN (see Figs. 7, 8). At 8°N
zonal currents strengthen during July – October, when the eastward North Equatorial
Countercurrent reaches a maximum (Fig. 3b) and the zonal gradient of salinity is generally
positive (Fig. 3a), resulting in freshening of ~3 mg m-2 s-1 (Fig. 7). At 4°N (see Fig. 3b) zonal
currents are westward during the first half of the year (due to the South Equatorial Current) and
eastward during the latter half (due to the North Equatorial Countercurrent). The zonal gradient
of salinity also varies seasonally, leading to a semiannual variation in zonal transport (Fig. 8).
Entrainment at these locations appears to be weak.
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At 8°N discrepancies between the sum of terms and local salt storage rate indicate that all
terms have not been properly represented. We anticipate that horizontal eddy advection or
turbulent exchange across the bottom of mixed layer (the mixed layer is very shallow during the
second half of the year at 8oN; see Fig. 2c) may account for at least part of the large
discrepancies present during late summer and fall at 8°N.
4. Summary
This paper attempts to provide a comprehensive the mixed layer salt budget in the
western tropical Atlantic, a region of complex processes, including strong precipitation,
evaporation, river discharge, subducting water masses, and fluctuating mixed layer depths. Our
analysis exploits the availability of measurements from four PIRATA moorings and other in-situ
data. It follows the spirit of a similar study by Cronin and McPhaden (1998) in the western
equatorial Pacific. Our main results are as follows:
• At 15oN all terms contribute significantly to seasonal changes of the mixed layer
salinity. The negative tendency of salinity storage in boreal fall is due to the
presence of the ITCZ, which provides strong precipitation and weak evaporation.
Zonal transport by the westward currents varies semiannually, reflecting changes
in the zonal gradient of salinity. This component of transport accounts in part for
the local maxima in the salinity storage rate in both spring and late fall. Both
components of transport account for the freshening tendency in boreal winter.
• At 12oN local fluxes are most important in balancing local storage, with transport
playing a lesser role in regulating mixed layer salinity.
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• At 8oN the freshening effects of precipitation and zonal advection are most
important during late summer and fall. The freshening due to eastward currents in
summer and early fall is due to eastward transport of waters partly diluted by
Amazon discharge.
• The mixed layer salt balance at 4ºN includes significant contributions from
semiannually varying precipitation and horizontal advection. Seasonal changes in
evaporation are less significant at this location. Meridional advection provides a
positive salt flux in summer, reflecting a strengthening of both the southward
salinity gradient and the northward wind-driven currents associated with the
seasonal northward shift of the ITCZ. Westward transport by the South Equatorial
Current in the first half of the year and eastward transport by the North Equatorial
Countercurrent in the second half result in a strong annual cycle of zonal salinity
advection, with peak eastward transport in late summer.
These results are in striking contrast to the mixed layer heat balance along 38ºW, where
horizontal advection makes minimal contributions (Foltz et al., 2003) due to weak surface
temperature gradients. Strong seasonal variations of horizontal salt transport are associated with
the meridional movement of the ITCZ and strong freshwater discharge from the Amazon River.
Thus, surface fluxes (and river discharge) indirectly affect the salt budget through the formation
of strong horizontal salinity gradients in the presence of horizontal currents. Such an indirect
connection appears to be much weaker in the mixed layer heat budget.
There are large uncertainties in our estimates of horizontal salt advection due to a lack of
direct velocity measurements as well as a lack of salinity surveys. There are also uncertainties in
the estimates of the seasonal cycle due to the relatively short mooring records. Despite these
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uncertainties, it is clear that horizontal advection is an important component of the mixed layer
salt balance. In contrast, entrainment plays a more limited role. To improve our knowledge of the
seasonal salinity budget, it will be necessary to improve our estimates of horizontal salt transport
through the addition of current meters to the PIRATA buoys and satellite-based estimates of
surface salinity. Though subject to considerable uncertainties because of data limitations, our
results nonetheless provide a basis for evaluating interannual and decadal variability, which are
both linked to the annual cycle.
Acknowledgements
This work was supported by NOAA’s office of Oceanic and Atmospheric Research and Office of
Global Programs. The authors also gratefully acknowledge the support provided by the National
Science Foundation. We are grateful to the Drifter DAC of the GOOS Center at NOAA/AOML
for providing the drifter data set. Dr. Alain Dessier has made the SSS ship-intake archive
accessible via http://www.brest.ird.fr/sss/clim_atl.html. Quikscat wind velocity has been
obtained from the NASA/NOAA sponsored system Seaflux at JPL through the courtesy of W.
Timothy Liu and Wenqing Tang.
Appendix: Harmonic fitting and error estimates.
Terms in the seasonal salt budget are estimated in the following way. Let the matrix Y
contain the monthly mean state observations, while A is the annual and semiannual harmonic
filter, and X, containing the filtered state estimate, is obtained by minimizing the score function
)AX(YV)AX(Y 1T −−= −J
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Here V is the observation error covariance matrix. We assume zero covariance between different
measurements (V is diagonal) and estimate the diagonal, Vobs, (that is the diagonal of V) as the
variance of daily observations in each monthly mean. This procedure gives the harmonics fit, Y ,
and the variance of the fit, Vfit. The total error shown in Figs. 5 – 8 is a sum of the error
associated with representing the observations by two harmonics and the error associated with
estimating those harmonics from our limited data set
fitobs)( VVY +=ε
Note that we have assumed that the accuracy of the PIRATA sensors is much higher than the
‘noise’ introduced by fluctuations due to high-frequency processes that are not resolved by our
analysis.
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Figure captions
Figure 1 Locations of the PIRATA moored buoys used in this study (solid circles). Background contours and arrows are climatological winter-spring and summer-fall surface salinity (from the Dessier and Donguy (1994) analysis of ship-intake data) and near-surface ocean velocity of Grodsky and Carton (2001). Bold contour lines represent 1 psu intervals. Figure 2 Comparison of the isothermal mixed layer depth based on a 0.5oC criteron, ILD0.5, and the mixed layer depth based on a 0.15 kg m-3 density criteria, MLD0.15. The difference between the two is the barrier layer thickness. Figure 3 Seasonal variations of the sea surface salinity gradient (left panels) and near-surface currents (right panels) at 38oW. The bold line in (d) represents the position of the ITCZ (defined as the latitude of maximum QuikSCAT wind convergence). Figure 4 Daily PIRATA near-surface atmospheric and oceanic measurements at 8°N, 38°W during 1998 – 2002. Solid gray lines represent monthly mean World Ocean Atlas 2001 climatological surface salinity, TRMM Microwave Imager/Precipitation Radar rainfall, QuikSCAT near-surface wind speed, and NCEP/NCAR Reanalysis relative humidity. Figure 5 The mixed layer salt balance at 15°N, 38°W. Left panel shows individual contributions to the salt balance equation (1) in the form of evaporation, precipitation, entrainment, and mean zonal and meridional salt advection. Plots in lefthand panel show least squares fits of mean + annual and semiannual harmonics to monthly data. Righthand panel shows the sum of the terms in the lefthand panel and the actual mixed layer salt storage rate. Shading and cross-hatching in righthand panel indicate error estimates. Bars in righthand panels indicate number of days in each month for which all PIRATA-based terms in the lefthand panel are available (maximum of ~ 150 days for each month, corresponding to ~ 5 years of data: September 1997 – December 2002). Figure 6 As in Figure 5, but for 12°N, 38°W. Figure 7 As in Figure 5, but for 8°N, 38°W. Figure 8 As in Figure 5, but for 4°N, 38°W.
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2 4 6 8 10 12
0
10
20
30
40
50
60
70
80
90
100
(a) 15N38WD
epth
, m
ILD0.5
MLD0.15
2 4 6 8 10 12
0
10
20
30
40
50
60
70
80
90
100
(b) 12N38W
2 4 6 8 10 12
0
10
20
30
40
50
60
70
80
90
100
(c) 08N38W
Dep
th, m
Month2 4 6 8 10 12
0
10
20
30
40
50
60
70
80
90
100
(d) 04N38W
Month Figure 2
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Jan
M
ar
May
Ju
l
Sep
N
ov
−6
−4
−20246
15n
38w
mg m−2
s−1
mg m−2
s−1
Jan
M
ar
May
Ju
l
Sep
N
ov
−8
−6
−4
−20246
days
0100
sum
ρh∂S
/∂t
evap
prec
ipu
adv
v ad
ven
tr
Figure 5
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Jan
M
ar
May
Ju
l
Sep
N
ov
−6
−4
−20246
12n
38w
mg m−2
s−1
mg m−2
s−1
Jan
M
ar
May
Ju
l
Sep
N
ov
−8
−6
−4
−20246
days
0100
sum
ρh∂S
/∂t
evap
prec
ipu
adv
v ad
ven
tr
Figure 6
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Jan
M
ar
May
Ju
l
Sep
N
ov
−6
−4
−20246
8n38
w
mg m−2
s−1
mg m−2
s−1
Jan
M
ar
May
Ju
l
Sep
N
ov
−8
−6
−4
−20246
days
0100
sum
ρh∂S
/∂t
evap
prec
ipu
adv
v ad
ven
tr
Figure 7
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Jan
M
ar
May
Ju
l
Sep
N
ov
−6
−4
−20246
4n38
wmg m
−2 s
−1
mg m−2
s−1
Jan
M
ar
May
Ju
l
Sep
N
ov
−8
−6
−4
−20246
days
0100
sum
ρh∂S
/∂t
evap
prec
ipu
adv
v ad
ven
tr
Figure 8
29