JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 117, C03003, doi:10.1029/2011JC007299, 2012
Seasonal variability of water mass distribution in the southeastern Beaufort Sea determined by total alkalinity and d18O Bruno Lansard,1,2 Alfonso Mucci,1 Lisa A. Miller,3 Robie W. Macdonald,3 and Yves Gratton4 Received 17 May 2011; revised 17 December 2011; accepted 2 January 2012; published 1 March 2012.
[1] We examined the seasonal variability of water mass distributions in the southeastern Beaufort Sea from data collected between September 2003 and August 2004. Salinity, total alkalinity (TA) and isotopic composition (d18O) of seawater were used together as tracers of freshwater input, i.e., meteoric water and sea ice meltwater. We used an optimum multiparameter analysis to identify the different water masses, including the Mackenzie River, sea ice melt (SIM), winter polar mixed layer (PML), upper halocline water (UHW) with core salinity of 33.1 psu (Pacific origin) and Atlantic Water. Computed values of CO2 fugacity in seawater ( fCO2-sw) show that the surface mixed layer (SML) remains mostly undersaturated (328 55 matm, n = 552) with respect to the average atmospheric CO2 concentration (380 5 matm) over the study period. The influence of the Mackenzie River ( fCO2-SW > 500 matm) was relatively small in the southeastern Beaufort Sea, and significant fractions were only observed on the inner Mackenzie Shelf. The contribution of sea ice melt ( fCO2-SW < 300 matm) to the SML could reach 30% beyond the shelf break and close to the ice pack in autumn. The density of the PML increased through the winter due to cooling and brine rejection. The winter PML reached a maximum depth of 70 m in late April. The UHW ( fCO2-SW > 600 matm) was usually located between 120 and 180 m depth, but could contribute to the SML during wind-driven upwelling events, in summer and autumn, and during brine-driven eddies, in winter. Citation: Lansard, B., A. Mucci, L. A. Miller, R. W. Macdonald, and Y. Gratton (2012), Seasonal variability of water mass distribution in the southeastern Beaufort Sea determined by total alkalinity and d18O, J. Geophys. Res., 117, C03003, doi:10.1029/ 2011JC007299.
1. Introduction the air-sea interface will likely result in more efficient CO2 gas exchange with the atmosphere. In the absence of ice, [2] One manifestation of change in Arctic climate is an greater light penetration and an increase in nutrients brought approximately 3°C increase in mean air temperature since to the euphotic zone by vertical mixing, upwelling and rivers the 1970s [Symon et al., 2005; Intergovernmental Panel on are proposed to enhance primary productivity [Arrigo et al., Climate Change, 2008], and accompanying impacts can 2008; Mundy et al., 2009] and the biological CO pump. already be observed on the terrestrial and marine carbon 2 Hence, under these conditions, the Arctic Ocean will play a cycles [Anderson and Kaltin, 2001; Overpeck et al., 2005; more active role in the carbon cycle. However, many factors Guo et al., 2007; McGuire et al., 2009]. Satellite and field could counterbalance the potential for the Arctic Ocean to observations have revealed a steadily decreasing minimum become a greater CO2 sink [Bates and Mathis, 2009; Cai ice cover in the Arctic Ocean, with recent summer months et al., 2010]. For example, increased precipitation and the setting new record lows in terms of ice cover and thickness consequent amplified river runoff are expected to result in a [Barber and Hanesiak, 2004; Serreze et al., 2007; Howell generally greater stratification in the upper ocean and a et al., 2009]. A receding ice cover and direct exposure of greater export of dissolved and particulate organic matter to the Arctic shelves [Benner et al., 2004], which could increase the importance of the heterotrophic CO source, relative to 1GEOTOP and Department of Earth and Planetary Sciences, McGill 2 University, Montreal, Quebec, Canada. photosynthetic drawdown. Because changes in the Arctic 2Now at Laboratoire d’Études en Géophysique et Océanographie might be amplified through numerous feedbacks [Bates and Spatiales, Observatoire Midi-Pyrénées, Toulouse, France. Mathis, 2009; McGuire et al., 2009], the role of freshwater 3Centre for Ocean Climate Chemistry, Institute of Ocean Sciences, inputs (runoff, precipitation and sea ice melt) in establishing Fisheries and Oceans Canada, Sidney, British Columbia, Canada. 4 the direction and magnitude of CO fluxes in the Arctic Centre Eau, Terre et Environnement, Institut National de la Recherche 2 Scientifique, Quebec City, Quebec, Canada. Ocean needs to be evaluated. [3] The Arctic Ocean receives large freshwater inputs Copyright 2012 by the American Geophysical Union. from meteoric water (MW; we define this as runoff plus 0148-0227/12/2011JC007299
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Figure 1. Map of the CASES study area showing the bathymetry and location of the sampling stations covered by the icebreaker CCGS Amundsen from September 2003 to August 2004. precipitation) and sea ice meltwater [White et al., 2007]. the ice-free period [Fransson et al., 2009; Mucci et al., 2010; Many studies have investigated the freshwater cycle in the Shadwick et al., 2011a]. Nevertheless, the region displays 18 Arctic Ocean using geochemical tracers such as the d Oof strong spatial variability in seawater CO2 fugacity ( fCO2-sw) water [Östlund and Hut, 1984; Macdonald et al., 1989, due to sea ice coverage, freshwater input, primary produc- 1999b; Melling and Moore, 1995; Ekwurzel et al., 2001; tion, and upwelling events. In this context, the assessment Schlosser et al., 2002; Bauch et al., 2005; Cooper et al., of water mass distributions and their variability is crucial to 2005; Yamamoto-Kawai et al., 2008], nutrients [Jones et predict their response to Arctic climate change. al., 1998; Ekwurzel et al., 2001; Yamamoto-Kawai et al., [5] In this study, we present the seasonal variability of TA 2008], total alkalinity [Anderson et al., 2004b; Yamamoto- and d18O from data collected in the southeastern Beaufort Kawai et al., 2005; Shadwick et al., 2011b], and barium Sea during a unique, near-continuous full-year time series. concentrations [Guay and Falkner, 1997; Taylor et al., The distributions of TA and d18O are then used to trace 2003; Guay et al., 2009; Thomas et al., 2011]. All these meteoric water, sea ice meltwater and other seawater masses. tracers have limitations, an important one being the variation An optimum multiparameter (OMP) analysis is used to in these properties among Arctic rivers [Cooper et al., estimate the relative contributions of source water types to 2008]. Nevertheless, these tracers have been used success- discrete parcels of seawater [Tomczak and Large, 1989]. fully to characterize pathways taken by river runoff in the Because it uses numerous tracers, OMP is a more complex Arctic Ocean and the distribution of sea ice meltwater. and complete analysis that provides additional insights into Available observational data remain too limited in both water mass distribution, than has been used in previous space and time to elucidate the mechanisms that control the studies. We investigate the seasonal variability of water seasonal distribution of freshwater tracers (e.g., TA and mass distribution, with respect to the carbonate system d18O) in the Arctic Ocean, especially during the winter when parameters (1) in autumn, after the Mackenzie freshet period sea ice forms. but before sea ice formation; (2) from winter to spring, from [4] Because the CO2 solubility in seawater increases with the onset of sea ice formation to the maximum sea ice cover decreasing temperature, the Arctic Ocean may act as a net (>90%); and (3) in summer, during the ice-free period. sink of CO2 [Anderson et al., 2004a; Rysgaard et al., 2007; Semiletov et al., 2007]. Part of the CO2 taken up by the 2. Data and Methods surface ocean can be transported to intermediate and greater depths as surface water density increases due to cooling and/ [6] The Canadian Arctic Shelf Exchange Study (CASES) or the addition of salt from brine drainage during sea ice was conducted in the southeastern Beaufort Sea, including formation [Jones and Coote, 1981; Anderson et al., 1990; the Mackenzie Shelf and the Cape Bathurst Polynya, Melling and Moore, 1995; Gibson and Trull, 1999; between September 2003 and August 2004 (Figure 1 and Shcherbina et al., 2003; Nilsen et al., 2008; Skogseth et al., Table 1). One hundred and twenty two stations were visited 2008]. The southeastern Beaufort Sea, encompassing the by the icebreaker CCGS Amundsen during the ice-free sea- Mackenzie Shelf, the Cape Bathurst Polynya and the son, whereas the ship was ice-bound in Franklin Bay from December 2003 to the end of May 2004. Seawater samples Amundsen Gulf, is currently a net sink of atmospheric CO2 2 1 were collected using a rosette system (24 12-L Niskin (from 6.0 to 2.3 mmol CO2 m d on average) during
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Table 1. CASES Expedition Legs, Periods, Location, Number of Stations Visited, and Measured and Computed Parameters CASES Number of 18 Leg Dates Season Location Stations d OpHt TA TIC fCO2-sw 1 30 Sep to autumn Mackenzie Shelf 13 measured measured measured computed 13 Oct 2003 and Cape Bathurst Polynya 2 19 Oct to autumn Mackenzie Shelf, Beaufort Sea 50 measured measured measured measured computed 19 Nov 2003 and Cape Bathurst Polynya 3–6 9 Dec 2003 to winter spring Franklin Bay 1 measured measured measured measured computed 27 May 2004 7 4 Jun to spring Cape Bathurst Poylnya 16 measured measured measured computed 22 Jun 2004 8 25 Jun to summer Mackenzie Shelf and 37 measured measured measured measured computed 1 Aug 2004 Cape Bathurst Polynya 9 6 Aug to summer Cape Bathurst Polynya 5 measured measured measured computed 10 Aug 2004
bottles) equipped with a Conductivity-Temperature-Depth Niskin bottle, varied between legs from 2 to 4 mmol kg 1. sensor (CTD, Seabird® SBE 911plus) and a Seapoint® The measurement of pH, TA and TIC provides an over- fluorometer. The temperature and conductivity probes were determination of the carbonate system, which allows calibrated by the manufacturer, but a further calibration of the fCO2-sw to be calculated from three possible combinations conductivity sensor was carried out using discrete salinity of measured parameters using the CO2SYS program [Lewis samples taken throughout the water column and analyzed on and Wallace, 1998] and the carbonic acid dissociation con- a Guildline Autosal 8400 salinometer calibrated with IAPSO stants of Mehrbach et al. [1973] as refit by Dickson and standard seawater. The output of the fluorometer was cali- Millero [1987]. The fCO2-sw was computed using the com- brated against chlorophyll-a (Chl-a) concentrations measured bination of TA-pH or TIC-pH, because both TA and TIC on discrete samples taken between April and August 2004 were not systematically measured in all samples. The dif- [Tremblay et al., 2008]. The CTD oxygen sensor (SBE-43) ference between the fCO2-sw calculated from TA-pH and was calibrated against discrete seawater samples analyzed TIC-pH was less than 2 matm. for dissolved oxygen concentration by Winkler titration [8] Oxygen isotopes were analyzed by the CO2 equili- [Grasshoff et al., 1983] with a reproducibility of 2 mmol L 1. bration method [Epstein and Mayeda, 1953] on a DeltaPlus [7] Three parameters of the carbonate system were XP mass spectrometer (Thermo Finnigan) at the University measured onboard in seawater samples: pH, total alkalinity of Ottawa (G.G. Hatch Isotope Laboratory). The oxygen (TA) and total inorganic carbon (TIC). The pH was deter- isotope composition of water is reported on the d18O nota- mined colorimetrically at 25°C using a Hewlett-Packard® tion, defined as the 18O/16O ratio of a sample relative to the (HP-8453A) UV-Visible diode array spectrophotometer and Vienna Standard Mean Ocean Water (V-SMOW) according 18 18 16 18 16 3 a 5-cm quartz cell. Phenol red (PR) [Robert-Baldo et al., to: d O=(( O/ O)sample/( O/ O)V-SMOW 1) 10 [‰]. 1985] and m-cresol purple (mCP) [Clayton and Byrne, The d18O was measured on water samples collected during 1993] were used as indicators, and measurements were car- CASES legs 2, 8 and throughout the overwinter period, legs ried out at the wavelengths of maximum absorbance of the 3–6 (Table 1). The d18O of seawater was measured to a protonated and deprotonated indicators (PR, 433 and 558 nm precision of 0.05‰, based on the analysis of random [Byrne, 1987]; mCP, 434 and 578 nm [Clayton and Byrne, duplicate samples. 1993]). A similar procedure was carried out before and after each set of sample measurements using TRIS buffers at 2.1. Regional Water Mass Analysis salinities of approximately 25 and 35 [Millero et al., 1993]. [9] The annual mean freshwater input to the Arctic Ocean All pH measurements were converted to in situ pHt (pH is dominated by river discharge (38%), inflow of relatively reported on the total proton scale) using the in situ temperature low-salinity Pacific Water through the Bering Strait (30%) and salinity of each sample and the HSO dissociation con- and net precipitation (24%) [Serreze et al., 2006]. With a mean 4 stants given by Dickson [1990]. The reproducibility and annual discharge of about 330 km3 yr 1, the Mackenzie River accuracy of the pH measurements, based on duplicates, were is the main source of river water to the southeastern Beaufort both 0.005 pH units or better. Total alkalinity was mea- Sea. The Mackenzie River flow is seasonally variable and the sured by open-cell potentiometric titration (TitraLab 865, peak discharge (approximately 30 000 m3 s 1) typically Radiometer®) with a combined pH electrode (pHC2001, Red occurs at the end of May [Carmack and Macdonald, 2002]. Rod®) and diluted HCl ( 0.03 M) as a titrant. The TIC was Sea ice meltwater is another significant source of freshwater determined by coulometric titration using a SOMMA instru- to the Arctic Ocean. The Arctic sea ice grows through the ment [Johnson et al., 1993] fit to a UIC 5011 coulometer. winter, reaching its largest extent in March, after which time Analyses of TA and TIC were conducted according to stan- it shrinks through the spring and summer, reaching its smallest dard protocols [Dickson and Goyet, 1994], and the instru- extent in September [Arrigo and van Dijken, 2004; Barber ments were calibrated against Certified Reference Materials and Hanesiak, 2004]. (CRM Batch 61, provided by A. G. Dickson, Scripps Insti- [10] According to previous studies [Carmack et al., tution of Oceanography, USA). Precisions for TA and TIC, 1989; Macdonald et al., 1989, 2002], six main source- determined from replicate samples drawn from the same water types (end-member water masses) can be recognized
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Table 2. Source-Water Types and Their Characteristic Properties Used in the OMP Analysisa
18 Temperature Salinity O2 d O TA TIC f CO2-sw 1 1 1 Water Types (°C) (psu) (mmol L ) (‰) (mmol kg ) (mmol kg )pHt (matm) Mackenzie water (MW) 0 to +16 0 330 20 18.9 0.1b 1618 55b 1700 60 8.43 0.07c >500d Sea ice melt (SIM) 0 0.2 4.7 0.5e,f 380 15 2.0 0.5g,h 415 35e,f 330 30e,f >8.0 280 30 Polar mixed layer (winter) (PML) 1.65 0.05 32 0.1i 340 18 2.5 0.2i 2256 12 2162 14 8.05 0.04 415 23 Upper halocline water (UHW) 1.44 0.04 33.1 0.1j 270 10 1.6 0.1 2283 8 2228 8 7.88 0.03 580 29 Atlantic water (ATW) +0.48 0.05 34.82 0.02 260 12 +0.27 0.05 2297 6 2168 14 8.06 0.03 356 28 Canada Basin deep water (CBDW) 0.4 0.05k 34.95 0.02k 300 10 +0.35 0.05l 2300 4 2153 5 8.08 0.02 311 12 aThe values used for the source water types are derived from both our data set and the literature. See the following footnotes. bCooper et al. [2008]. cRetamal et al. [2008]. dVallières et al. [2008]. eRysgaard et al. [2007]. fMiller et al. [2011]. gEicken et al. [2002]. hYamamoto-Kawai et al. [2009]. iMacdonald et al. [1995]. jMacdonald et al. [1989]. kCarmack et al. [1989]. lEkwurzel et al. [2001]. in the southeastern Beaufort Sea (Table 2): (1) meteoric water and 180 m depth and is recognizable as intermediate salinity (MW, Mackenzie River plus precipitation), (2) sea ice melt water (33.1) with a temperature minimum ( 1.5°C) and (SIM), (3) polar mixed layer (PML), (4) upper halocline relatively low oxygen concentrations (270 mmol L 1)[Jones water (UHW, modified Pacific Water with core salinity of et al., 1998; McLaughlin et al., 2004; Shimada et al., 2006]. 33.1 psu), (5) Atlantic Water (ATW), and (6) the Canada This temperature minimum is supported, in part, by inter- Basin deep water (CBDW). In this study, the PML is the mittent contributions of dense water produced by ice forma- considered to be the surface water that becomes mixed to tion on adjacent shelves [Melling and Moore, 1995; Mathis uniform, or almost uniform, properties during winter. This et al., 2007]. The UHW is also recognizable by its high layer of water has its properties altered by the addition of nutrient [Jones et al., 2003; Yamamoto-Kawai et al., 2008] SIM and MW in summer, and by the removal of SIM through and TIC concentrations [Shadwick et al., 2009; Mucci et al., ice formation in winter. Because the properties of the PML 2010], as it flows from the Arctic Ocean to the North Atlantic vary depending on the strength of sea ice formation in a given via the Canadian Arctic Archipelago and Fram Strait [Rudels winter and the amounts of SIM or MW supplied in summer, et al., 2004; Jones et al., 2008]. In this paper, the Pacific the PML cannot be defined precisely except in the context of Water inflow through the Bering Strait is not considered as a a particular location and year. Here, we take advantage of source of freshwater [e.g., Serreze et al., 2006] but as a dis- the CASES project design, which provided samples over a tinct saline end-member [Macdonald et al., 2002], even full-year cycle, and use the winter profile data to define though its salinity (33.1) is lower than the deep Arctic Ocean depth and properties of the PML. Most prior studies inferred (34.82). Atlantic water is mainly formed by water entering such properties from summer profiles. Accordingly, we the Canada Basin from the Makarov Basin via Fram Strait defined the winter PML as the water mass located just below and the Barents Sea [McLaughlin et al., 1996; Rudels et al., the surface mixed layer (SML) in summer whose highest 2004]. ATW is present below the deep halocline, at depths salinity (32) is observed during the winter. Thus, the effect of about 200 m, and it is characterized by a salinity of 34.82, of brine rejection generated by ice formation is included in a deep temperature maximum (+0.5°C), a minimum oxygen our definition of the winter PML. The SML is defined as and relatively low nutrient and TIC concentrations [Jones the upper layer of the ocean with quasi-homogeneous and Anderson, 1986; Macdonald et al., 1989; McLaughlin potential density above the main pycnocline. Vertical profiles et al., 2004]. of potential density were used to calculate the depth of the base of the SML (usually 30 m), and defined as the depth at 2.2. Use of Multiple Water Mass Tracers and Water which the density increases by 20% of the mean density of Mass Calculations 18 the upper 10 m [e.g., Shaw et al., 2009]. [12] The application of salinity (S), TA and d O to dis- [11] In the Canada Basin, a strong vertical density gradient tinguish the two major sources of freshwater, meteoric water separates nutrient-poor surface waters (i.e., the PML) from and sea ice melt, to seawater is well established [Östlund and the underlying nutrient-rich upper halocline water [Aagaard Hut, 1984; Macdonald et al., 1989; Ekwurzel et al., 2001; et al., 1981; Jones and Anderson, 1986; Rudels et al., 2004]. Anderson et al., 2004b; Bauch et al.,2005;Yamamoto-Kawai The UHW is mainly fed by Pacific Water flowing in through et al.,2005;Jones et al., 2008]. Provided chemical properties Bering Strait, undergoing transformation as it crosses the of the end-members are well defined and appropriate to the Chukchi Sea shelf and entering the Canada Basin through study region in the Beaufort Sea [Macdonald et al., 1995], the Barrow and Herald Canyons [Pickart, 2004; Woodgate the relative contributions of meteoric water (FMW), sea ice et al., 2006]. The UHW is typically found between 120 melt (FSIM), upper halocline water (FUHW) and Atlantic water
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Table 3. Weights Applied to Each Parameter Used in the OMP of the SML during ice formation in this region during two Analysis non-consecutive years and the processes at play are the subject of an upcoming paper. Weights Used in OMP Analysis [17] 3. The definition of the seawater end-member in the Above the Below the Arctic Ocean differs from one study to another for the very UHW UHW practical reason that n number of tracers permits solutions Parameters Precision (Salinity < 33.1) (Salinity > 33.1) for only n+1 water masses, which with two tracers implies Temperature (°C) 0.01 1 25 that one and only one saline end-member may be used. Salinity (psu) 0.01 25 25 1 Depending on the study objectives and location, the saline Dissolved O2 (mmol L ) 2.0 1 5 Total alkalinity (mmol kg 1) 2.0 25 1 end-member has been assigned to the UHW or Pacific Water d18O(‰) 0.05 25 5 [Macdonald et al., 1989, 1995, 2002; Yamamoto-Kawai Mass conservation 25 25 et al., 2009], Atlantic Water [Östlund and Hut, 1984; Schlosser et al., 2002; Anderson et al., 2004b; Yamamoto- Kawai et al., 2005; Newton et al., 2008], and the Polar Mixed Layer [Alkire and Trefry, 2006]. Since the computa- (FATW) in a given parcel of water can be computed using the 18 tion of freshwater and sea ice melt fractions (and inventory) following mass balance equations for salt, TA and d O: depend on the seawater end-member definition, absolute results cannot be compared directly among studies using F þ F þ F þ F ¼ 1; ð1Þ MW SIM UHW ATW different saline end-member baselines, although patterns in distributions may be compared. F S þ F S þ F S þ F S ¼ S; ð2Þ MW MW SIM SIM UHW UHW ATW ATW 2.3. OMP Analysis [18] In this study, we used an optimum multiparameter þ þ þ ¼ ; FMWTAMW FSIMTASIM FUHWTAUHW FATWTAATW TA (OMP) algorithm to quantify the relative contributions of the ð3Þ different source water types to the observed data. The OMP analysis [Karstensen, 2006] is a weighted, nonnegative, linear least squares, mass balance algorithm developed from d18 þ d18 þ d18 þ d18 ¼ d18 : FMW OMW FSIM OSIM FUHW OUHW FATW OATW O the earlier work of Mackas et al. [1987] and Tomczak and ð4Þ Large [1989]. This algorithm has been extensively used to determine water mass distribution in many areas of the [13] This method is widely used but typically with only world ocean [Leffanue and Tomczak, 2004, and references d18 two tracers, salinity- O [e.g., Östlund and Hut, 1984] or therein] including the Greenland Sea [Karstensen et al., salinity-TA [Anderson et al., 2004b; Jones et al., 2008], i.e., 2005; Jeansson et al., 2008], the Canadian Beaufort Sea in three-component mixing models. To our knowledge, the [Macdonald et al., 1989] and the Alaskan Beaufort Sea d18 combination of salinity- O and salinity-TA has been used [Alkire and Trefry, 2006]. Briefly, the method finds the best only by Yamamoto-Kawai et al. [2005] to investigate fresh- fitting fraction (x) of (n+1) source water types that contribute water and brine distributions in the Arctic Ocean. However, to the (n) observed values of the selected tracers in a parcel results from previous studies should be interpreted with of water via solution of an over-determined system of linear caution because the calculated water mass compositions are equations that minimizes the residual error. Boundary con- sensitive to the assigned properties of each end-member. ditions were applied to the method to guarantee that all [14] There are at least three main issues to consider in fractions calculated were positive and that the sum of all assigning end-members for this kind of tracer analysis: fractions was 100% (mass conservation). d18 [15] 1. Inputs of TA and O by MW and SIM are vari- [19] The OMP analysis was initially used to distinguish able in both time and space. Hence, the end-member prop- and calculate the relative contributions of different water d18 erties (S, TA and O) and the computed fractions are site masses in a parcel of water using temperature and salinity as dependent. conservative tracers, as well as nutrient data [Mackas et al., [16] 2. As sea ice forms, brine release increases the 1987]. In this study, we used salinity, TA, and d18Oas salinity and TA of the surface mixed layer but decreases conservative tracers as well as temperature and O concen- d18 18 2 the O, since O is preferentially incorporated in the tration as non-conservative tracers, to constrain the water freezing ice [Lehmann and Siegenthaler, 1991]. In the mass analysis. Non-conservative tracers should be applied – system of equations defined above ((1) (4)), brine rejected with caution in OMP, because of seasonal variations in the “ ” from ice into the water results in a negative sea ice melt SML. For example, the temperature of the Mackenzie water fraction that reflects sea ice growth and adds negative ranges from 0°C in winter to +16°C in summer while the d18 buoyancy to the SML. Changes in salinity, TA and O temperature of the SML ranges from 1.7°C to +7°C. Dis- are most noticeable in the SML, whose maximum thick- solved O2 concentration was also used as a non-conservative ness at our study site was 50 m in late winter, even if tracer, because it is a function of temperature (e.g., O2 mixing with deeper waters does occur but typically limited solubility increases with decreasing temperature and salinity), to the upper 100 m. The effects of sea ice formation and primary production, and biological respiration. Consequently, brine rejection on the SML properties are not completely a relatively low weight was assigned to temperature and O2 understood, and the rate of brine rejection varies with ice data above the UHW for the OMP analysis (Table 3). Salinity, thickness and growth rate in a manner that has not been TA and d18O data were used with a relatively heavy weight to well quantified. A detailed study of the chemical evolution distinguish MW and SIM from the PML. Conversely, the
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