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2.2 Temperature & Salinity

The Master Variables of the Ocean

Temperature and salinity are the two most important physical properties of seawater. Together they determine density, which in turn drives the ocean's thermohaline circulation -- the global overturning circulation that transports heat, salt, nutrients, and carbon throughout the world ocean. T-S diagrams (plotting temperature vs. salinity) are the single most powerful tool in physical oceanography for identifying and tracing water masses as they spread through the ocean interior.

Temperature is controlled by solar radiation, atmospheric exchange, and internal ocean mixing. Salinity is controlled by the balance of freshwater fluxes: evaporation (E), precipitation (P), river runoff (R), and ice formation/melt. The conservation equations for temperature and salinity are:

$$\frac{\partial T}{\partial t} + \mathbf{u} \cdot \nabla T = \kappa_T \nabla^2 T + \frac{Q}{\rho c_p h} \qquad \frac{\partial S}{\partial t} + \mathbf{u} \cdot \nabla S = \kappa_S \nabla^2 S + \frac{S_0(E - P - R)}{h}$$

where $\kappa_T$ and $\kappa_S$ are diffusivities, $Q$ is net heat flux, and $h$ is the mixed layer depth

Ocean Temperature Distribution

Sea surface temperature (SST) ranges from about -1.9 degrees C at the ice edge to over 30 degrees C in tropical warm pools (e.g., the Western Pacific Warm Pool). The global average SST is approximately 17 degrees C. However, the ocean's volume-averaged temperature is only about 3.5 degrees C because the vast majority of the ocean is deep, cold water below the thermocline.

Surface Temperature Patterns

  • -- Zonal bands: warmest at equator, coldest at poles
  • -- Western boundary currents (Gulf Stream, Kuroshio) carry warm water poleward, creating strong SST gradients
  • -- Eastern boundary upwelling regions (California, Peru, Benguela) have anomalously cold SST
  • -- Seasonal amplitude: 1--2 degrees C in tropics, up to 10 degrees C at mid-latitudes

Vertical Temperature Structure

  • -- Mixed layer (0--50 to 200 m): Nearly isothermal, maintained by wind mixing and convection
  • -- Seasonal thermocline: Develops in spring/summer at mid-latitudes, eroded in winter
  • -- Permanent thermocline (200--1000 m): Temperature drops from ~20 degrees C to ~5 degrees C
  • -- Deep water (>1000 m): Nearly uniform at 1--4 degrees C (75% of ocean volume)

Potential Temperature

In-situ temperature increases slightly with depth due to adiabatic compression. Potential temperature $\theta$removes this effect by referencing all temperatures to a common pressure (usually surface):

$$\theta = T - \int_0^p \Gamma(S, T, p') \, dp' \quad \text{where} \quad \Gamma = \frac{\alpha T}{\rho c_p} \approx 0.1\text{--}0.2 \text{ °C per 1000 dbar}$$

The adiabatic lapse rate $\Gamma$ is the temperature change per unit pressure for an adiabatic displacement. For typical deep-water conditions, $\Gamma \approx 0.15$ degrees C per 1000 dbar, so at 4000 m depth,$\theta$ differs from in-situ T by about 0.6 degrees C.

Derivation: Potential Temperature from the Adiabatic Lapse Rate

Step 1: Entropy as a State Variable

For a parcel of seawater undergoing an adiabatic (isentropic) and isohaline displacement, the specific entropy $\eta$ remains constant: $d\eta = 0$. The entropy is a function of temperature, salinity, and pressure:

$$d\eta = \left(\frac{\partial\eta}{\partial T}\right)_{p,S} dT + \left(\frac{\partial\eta}{\partial p}\right)_{T,S} dp = 0$$

Step 2: Identifying the Partial Derivatives

The first partial derivative relates to the heat capacity: $(\partial\eta/\partial T)_{p,S} = c_p/T$. For the second, we use the Maxwell relation derived from the Gibbs free energy$dG = -\eta\,dT + v\,dp + \mu_S\,dS$:

$$\left(\frac{\partial\eta}{\partial p}\right)_{T,S} = -\left(\frac{\partial v}{\partial T}\right)_{p,S} = -\frac{\alpha}{\rho}$$

where $v = 1/\rho$ is specific volume and $\alpha = -(1/\rho)(\partial\rho/\partial T)_{p,S}$ is the thermal expansion coefficient.

Step 3: The Adiabatic Lapse Rate

Substituting into the isentropic condition $d\eta = 0$ and solving for $dT/dp$:

$$\frac{c_p}{T}\,dT - \frac{\alpha}{\rho}\,dp = 0 \quad \Rightarrow \quad \Gamma \equiv \left(\frac{\partial T}{\partial p}\right)_{\!\eta,S} = \frac{\alpha\,T}{\rho\,c_p}$$

This is the adiabatic lapse rate $\Gamma$ -- the rate of temperature increase per unit pressure increase for a parcel displaced adiabatically downward. For typical deep-ocean conditions ($\alpha \approx 1.5 \times 10^{-4}$ K$^{-1}$, $T \approx 275$ K,$\rho \approx 1028$ kg/m$^3$, $c_p \approx 3990$ J/(kg K)):

$$\Gamma \approx \frac{(1.5\times10^{-4})(275)}{(1028)(3990)} \approx 1.0 \times 10^{-8} \text{ K/Pa} \approx 0.10 \text{ °C per 1000 dbar}$$

Step 4: Defining Potential Temperature

The potential temperature $\theta$ is obtained by integrating the lapse rate from the in-situ pressure $p$ down to a reference pressure $p_r$ (usually 0 dbar, the surface). It represents the temperature a parcel would have if moved adiabatically and isohalinally to $p_r$:

$$\theta(S, T, p, p_r) = T - \int_{p_r}^{p} \Gamma(S, T', p')\,dp'$$

Step 5: Numerical Integration (Runge-Kutta Method)

Because $\Gamma$ depends on $T$ and $p$ (and weakly on $S$), the integral must be evaluated numerically. The standard approach uses a 4th-order Runge-Kutta scheme over the pressure interval $[p_r, p]$. Denoting $\Delta p = p - p_r$:

$$k_1 = \Gamma(S, T, p)\,\Delta p$$

$$k_2 = \Gamma(S, T - k_1/2, p - \Delta p/2)\,\Delta p$$

$$k_3 = \Gamma(S, T - k_2/2, p - \Delta p/2)\,\Delta p$$

$$k_4 = \Gamma(S, T - k_3, p_r)\,\Delta p$$

$$\theta = T - \frac{1}{6}(k_1 + 2k_2 + 2k_3 + k_4)$$

Step 6: Physical Interpretation and Magnitude

The difference between in-situ temperature and potential temperature grows with depth. At the ocean floor (~4000 -- 6000 m), this difference is significant:

$$T - \theta \approx \Gamma \cdot p \approx (0.15 \text{ °C}/1000\text{ dbar}) \times 4000\text{ dbar} \approx 0.6\text{ °C}$$

Without this correction, the deep ocean would appear to have a slight temperature increase with depth (due to compressive heating), masking the true stratification. Potential temperature removes this artifact, revealing whether the water column is truly stably stratified.

Step 7: Why $\alpha$ Near Zero Matters at Low Temperature

Since $\Gamma = \alpha T / (\rho c_p)$, the lapse rate approaches zero as $\alpha \to 0$near the temperature of maximum density. For very cold bottom waters ($T < 2$ degrees C),$\alpha$ is small, making $\Gamma$ small and the distinction between $T$ and$\theta$ less important. However, the nonlinear dependence of $\alpha$ on pressure means that at high pressures $\alpha$ is larger even at low temperatures, so the correction remains non-negligible in the deep ocean.

$$\alpha(T, S, p) \approx \alpha(T, S, 0) + \frac{\partial\alpha}{\partial p}\bigg|_{T,S} \cdot p$$

Salinity Distribution

Ocean salinity varies from near zero in estuaries to over 40 PSU in enclosed evaporative basins (e.g., Red Sea, Persian Gulf, Mediterranean). The global mean is approximately 34.7 PSU. The surface salinity distribution closely mirrors the pattern of evaporation minus precipitation (E-P):

$$\frac{\partial S}{\partial t} \bigg|_{\text{surface}} \approx \frac{S_0 (E - P)}{h_{\text{mix}}}$$

where $S_0 \approx 35$ PSU is reference salinity and $h_{\text{mix}}$ is the mixed layer depth

Subtropical Maxima

S > 36 PSU in subtropical gyres where evaporation strongly exceeds precipitation (descending branch of Hadley cell). Atlantic subtropics have the highest open-ocean salinities (~37.5 PSU).

Equatorial Minimum

S ~ 34--35 PSU at the equator due to intense rainfall in the Intertropical Convergence Zone (ITCZ). The fresh pool of the western Pacific warm pool has S < 34 PSU.

High-Latitude Freshening

S ~ 32--34 PSU at high latitudes due to precipitation, river runoff, and sea ice melt. Arctic surface waters can have S < 30 PSU near large river mouths (Ob, Yenisei, Lena).

Vertical Salinity Structure

The halocline (zone of rapid salinity change) is most pronounced in subpolar and polar regions where fresh surface water overlies saltier deep water. In the tropics, a subsurface salinity maximum (Subtropical Underwater) exists at 100--200 m, formed by subduction of high-salinity subtropical surface water.

T-S Diagrams and Water Mass Analysis

A T-S diagram plots potential temperature $\theta$ (y-axis) against salinity S (x-axis), with contours of constant potential density $\sigma_\theta$ overlaid. Each water mass occupies a characteristic cluster or point in T-S space. When two water masses mix, the resulting mixture lies on a straight line connecting the source water T-S properties (for two-component mixing):

$$\theta_{\text{mix}} = f \cdot \theta_1 + (1-f) \cdot \theta_2 \qquad S_{\text{mix}} = f \cdot S_1 + (1-f) \cdot S_2$$

where $f$ is the mixing fraction (0 to 1) of water mass 1

North Atlantic Deep Water (NADW)

$\theta \approx 2\text{--}4$ degrees C, S = 34.9 -- 35.0 PSU. Formed in the Labrador Sea and Nordic Seas by deep convection. Occupies 1500 -- 4000 m depth in the Atlantic, spreading southward as a tongue of relatively warm, salty water.

Antarctic Bottom Water (AABW)

$\theta \approx -0.5$ to 0 degrees C, S = 34.65 -- 34.70 PSU. The densest water mass in the ocean, formed around Antarctica by brine rejection during sea ice formation and cooling of shelf waters. Fills the deepest parts of all ocean basins.

Antarctic Intermediate Water (AAIW)

$\theta \approx 3\text{--}7$ degrees C, S = 34.2 -- 34.4 PSU. A low-salinity layer that sinks at the Antarctic Polar Front (~50 degrees S) and spreads northward at 600 -- 1200 m depth, identifiable as a salinity minimum in vertical profiles throughout the Southern Hemisphere.

Mediterranean Water (MW)

$\theta \approx 11\text{--}12$ degrees C, S = 36.0 -- 36.5 PSU. Warm, salty water that flows over the sill at the Strait of Gibraltar and spreads into the North Atlantic at ~1000 m depth. Its high salinity signature (tongue of S > 35.5) is traceable across the entire North Atlantic.

Mixing Lines and Cabelling

When two water masses mix, the resulting T-S properties fall on a straight line between the two end-members. However, because the equation of state is nonlinear, the mixed water can be denser than either parent water mass -- a phenomenon called cabelling:

$$\rho_{\text{mix}} > f \cdot \rho_1 + (1-f) \cdot \rho_2$$

Cabelling occurs because isopycnals curve concavely in T-S space

Cabelling is most significant when mixing occurs between water masses with large T-S contrasts, such as at frontal zones. It can contribute to deep water formation and is thought to play a role in deep convection in the Weddell Sea and at the Antarctic Polar Front.

Derivation: T-S Diagram Mixing Line Equations

Step 1: Conservation of Heat and Salt During Mixing

When two water masses mix, both heat (proportional to temperature for fixed $c_p$) and salt are conserved. Consider mixing water mass 1 (mass $m_1$, properties $\theta_1, S_1$) with water mass 2 (mass $m_2$, properties $\theta_2, S_2$). Conservation requires:

$$m_1 c_p \theta_1 + m_2 c_p \theta_2 = (m_1 + m_2) c_p \theta_{\text{mix}}$$

$$m_1 S_1 + m_2 S_2 = (m_1 + m_2) S_{\text{mix}}$$

Step 2: The Mixing Fraction Parameterization

Defining the mixing fraction $f = m_1/(m_1 + m_2)$ (the mass fraction of water mass 1), we can write the mixed properties as linear combinations:

$$\theta_{\text{mix}} = f\,\theta_1 + (1-f)\,\theta_2 \qquad S_{\text{mix}} = f\,S_1 + (1-f)\,S_2$$

As $f$ varies from 0 to 1, the point $(\theta_{\text{mix}}, S_{\text{mix}})$ traces a straight line in T-S space connecting $(\theta_1, S_1)$ and $(\theta_2, S_2)$.

Step 3: Eliminating $f$ to Get the Mixing Line Equation

Solving the salinity equation for $f$ and substituting into the temperature equation:

$$f = \frac{S_{\text{mix}} - S_2}{S_1 - S_2} \quad \Rightarrow \quad \theta_{\text{mix}} = \theta_2 + \frac{\theta_1 - \theta_2}{S_1 - S_2}(S_{\text{mix}} - S_2)$$

$$\theta = \theta_2 + \frac{\Delta\theta}{\Delta S}(S - S_2) \quad \text{where} \quad \frac{\Delta\theta}{\Delta S} = \frac{\theta_1 - \theta_2}{S_1 - S_2}$$

This is the equation of a straight line with slope $\Delta\theta/\Delta S$ in T-S space.

Step 4: Three-Component Mixing (Triangular Regions)

For three water masses mixing simultaneously, the mixed point lies within the triangle formed by the three end-members in T-S space. Conservation gives three equations with three unknowns ($f_1, f_2, f_3$):

$$\theta_{\text{mix}} = f_1\theta_1 + f_2\theta_2 + f_3\theta_3$$

$$S_{\text{mix}} = f_1 S_1 + f_2 S_2 + f_3 S_3$$

$$f_1 + f_2 + f_3 = 1$$

This linear system has a unique solution for $(f_1, f_2, f_3)$, allowing quantitative determination of the fraction of each water mass present at any point in the ocean.

Step 5: Cabelling -- The Nonlinear Density Effect

While T-S properties mix linearly, density does not because the equation of state$\rho(\theta, S)$ is nonlinear. The density of the mixture differs from the linear interpolation of the source densities. Expanding $\rho$ to second order around the midpoint:

$$\rho_{\text{mix}} - \bar{\rho} \approx \frac{f(1-f)}{2}\left[\frac{\partial^2\rho}{\partial\theta^2}(\Delta\theta)^2 + 2\frac{\partial^2\rho}{\partial\theta\partial S}\Delta\theta\,\Delta S + \frac{\partial^2\rho}{\partial S^2}(\Delta S)^2\right]$$

where $\bar{\rho} = f\rho_1 + (1-f)\rho_2$ is the linearly interpolated density. Since$\partial^2\rho/\partial\theta^2 > 0$ (density is concave upward in temperature), mixing along isotherms always produces water denser than the linear average -- this is cabelling. The effect is maximized at $f = 0.5$ (equal mixing).

Step 6: The Cabelling Coefficient

The cabelling coefficient $C_b$ quantifies the densification due to mixing. It is defined as:

$$C_b = \frac{\partial^2\rho/\partial\theta^2}{\rho} = \frac{\partial\alpha}{\partial\theta}\bigg|_{p,S}$$

Typical values are $C_b \approx 8 \times 10^{-6}$ K$^{-2}$. For two water masses differing by $\Delta\theta = 10$ degrees C mixing equally ($f = 0.5$), the density increase is approximately:

$$\Delta\rho_{\text{cab}} \approx \frac{\rho\,C_b}{8}(\Delta\theta)^2 \approx \frac{1025 \times 8\times10^{-6}}{8}(10)^2 \approx 0.1 \text{ kg/m}^3$$

Step 7: Thermobaricity -- Pressure-Dependent Mixing

The thermobaric coefficient $T_b$ captures how the thermal expansion coefficient changes with pressure. This means that mixing lines in T-S space produce different density anomalies at different pressures:

$$T_b = \frac{\partial\alpha}{\partial p}\bigg|_{\theta,S} = \frac{\partial^2 v}{\partial\theta\,\partial p}\bigg|_{S}$$

Thermobaricity is important in the Southern Ocean, where cold Antarctic waters become relatively denser at great pressure, potentially triggering deep convection events when perturbations displace parcels to depths where their thermobaric density advantage causes them to sink rapidly.

Python: T-S Diagram with Water Mass Identification

The following Python code generates a T-S diagram with isopycnal contours and marks the characteristic T-S properties of major water masses:

Python: T-S Diagram with Water Mass Identification

Python

Compute sigma-t (density anomaly at surface pressure).

script.py66 lines

Click Run to execute the Python code

Code will be executed with Python 3 on the server

Global SST and SSS Distribution Patterns

The global distributions of sea surface temperature (SST) and sea surface salinity (SSS) reflect the combined influence of solar radiation, atmospheric circulation, ocean currents, and freshwater fluxes. Understanding these patterns is essential for climate science and biological oceanography.

SST Patterns

  • -- Zonal gradient: warmest at equator ($\sim$28 -- 30 degrees C), coldest at poles ($\sim$-1.9 degrees C)
  • -- Western Pacific Warm Pool: SST > 28 degrees C, drives convection and ENSO
  • -- Eastern boundary cold tongues: upwelling brings cold, nutrient-rich water to the surface
  • -- Gulf Stream and Kuroshio: sharp SST fronts separate warm subtropical from cold subpolar water
  • -- Annual SST range: small in tropics (1 -- 2 degrees C), large at mid-latitudes (5 -- 10 degrees C)

SSS Patterns

  • -- Subtropical maxima: S > 36 PSU (Atlantic) or > 35.5 PSU (Pacific) where E >> P
  • -- Equatorial freshening: S < 35 PSU due to ITCZ rainfall
  • -- High-latitude freshening: S < 33 PSU near ice margins and river mouths
  • -- Atlantic saltier than Pacific by ~1 PSU at all latitudes (moisture transport across Central America)
  • -- Mediterranean, Red Sea, Persian Gulf: S > 38 PSU in semi-enclosed basins

The Fresh Water Flux Equation

Surface salinity change is governed by the net freshwater flux. The zonally averaged pattern closely tracks the atmospheric circulation pattern (Hadley, Ferrel, and polar cells):

$$\frac{dS}{dt} \bigg|_{\text{surface}} \propto (E - P - R) = \text{net evaporation}$$

Subtropics: E > P (dry, sinking Hadley cell air) gives high salinity. Equator: P > E (rising moist air) gives low salinity. High latitudes: P + R + ice melt > E gives low salinity.

Conservative Temperature (TEOS-10)

The TEOS-10 framework introduced Conservative Temperature $\Theta$ as a replacement for potential temperature $\theta$. Unlike $\theta$, Conservative Temperature is exactly conserved during adiabatic and isohaline processes -- it is proportional to the specific enthalpy of seawater:

$$\Theta = \frac{h(S_A, \theta, 0)}{c_p^0}$$

where $h$ is specific enthalpy and $c_p^0 = 3991.868$ J/(kg K) is a reference heat capacity

Potential temperature $\theta$ is not exactly conserved during mixing because the specific heat capacity of seawater varies with T, S, and p. The difference between $\Theta$ and $\theta$can be up to 0.05 degrees C, which is significant for deep-ocean heat content calculations. TEOS-10 recommends using $\Theta$ and Absolute Salinity $S_A$ for all new oceanographic analyses.

Derivation: The Conservative Temperature Concept

Step 1: The Problem with Potential Temperature

Potential temperature $\theta$ is defined by integrating the adiabatic lapse rate and is conserved for a single parcel undergoing adiabatic displacement. However, when two parcels with different $(S, \theta)$ properties mix, $\theta$ is not exactly conserved because the specific heat capacity $c_p(S, T, p)$ varies. The heat content is:

$$Q = m \cdot c_p(S, T, p) \cdot T \neq m \cdot c_p^{\text{const}} \cdot \theta$$

Step 2: Quantifying the Non-Conservation Error

When water mass 1 ($\theta_1, S_1$) mixes with water mass 2 ($\theta_2, S_2$), the enthalpy is exactly conserved but $\theta$ is not. The error in treating $\theta$as conservative is proportional to the variation of $c_p$:

$$\delta\theta_{\text{error}} \sim \frac{\Delta c_p}{c_p} \cdot \Delta\theta \sim \frac{c_p(\theta_1, S_1) - c_p(\theta_2, S_2)}{c_p} \cdot (\theta_1 - \theta_2)$$

Since $c_p$ varies by about 5% across the full oceanic range, errors up to 0.05 degrees C can accumulate. While small for individual mixing events, these errors compound along multi-step mixing paths in the global overturning circulation.

Step 3: Specific Enthalpy as the Conserved Quantity

The quantity that is truly conserved during mixing at constant pressure is the specific enthalpy$h$. From the first law, for an adiabatic process at constant pressure and composition:

$$dh = \frac{dp}{\rho} + T\,d\eta + \mu_S\,dS = \frac{dp}{\rho} \quad (\text{for } d\eta = 0, dS = 0)$$

For mixing at constant $p$: $(m_1 + m_2)\,h_{\text{mix}} = m_1\,h_1 + m_2\,h_2$ is exact.

Step 4: Defining Conservative Temperature

Conservative Temperature $\Theta$ is defined so that it is proportional to the potential enthalpy $h^0 = h(S_A, \theta, p_r = 0)$ -- the enthalpy referenced to the sea surface:

$$\Theta = \frac{h^0(S_A, \theta)}{c_p^0} = \frac{h(S_A, \theta, 0)}{c_p^0}$$

where $c_p^0 = 3991.868$ J/(kg K) is a constant reference heat capacity chosen so that$\Theta$ has the same units and approximate magnitude as $\theta$.

Step 5: Why $\Theta$ Is Conservative

Since $c_p^0$ is a constant and enthalpy is conserved during mixing:

$$(m_1 + m_2)\,c_p^0\,\Theta_{\text{mix}} = m_1\,c_p^0\,\Theta_1 + m_2\,c_p^0\,\Theta_2$$

$$\Rightarrow \quad \Theta_{\text{mix}} = f\,\Theta_1 + (1-f)\,\Theta_2 \quad \text{(exactly)}$$

This is exact to the extent that $h^0$ is conserved, which is accurate to within the neglected terms of pressure work during mixing (of order $10^{-12}$ degrees C). By contrast, the non-conservation of $\theta$ during mixing can be up to $10^{-2}$ degrees C.

Step 6: Computing $\Theta$ from $\theta$ and $S_A$

The relationship between $\Theta$ and $\theta$ is obtained by evaluating the Gibbs function $g(S_A, T, p)$ at $p = 0$. The enthalpy at the surface is:

$$h^0 = g - T\frac{\partial g}{\partial T}\bigg|_{p=0} \quad \Rightarrow \quad \Theta = \frac{1}{c_p^0}\left[g(S_A, \theta, 0) - (\theta + 273.15)\frac{\partial g}{\partial T}(S_A, \theta, 0)\right]$$

In practice, this is evaluated using a 75-term polynomial approximation that is accurate to within $\pm 2 \times 10^{-6}$ degrees C. The difference $\Theta - \theta$ reaches a maximum of about 0.05 degrees C for cold, fresh Antarctic waters.

Step 7: The Heat Transport Equation in Terms of $\Theta$

The advantage of Conservative Temperature becomes clear in the ocean heat transport equation. Using $\Theta$, the advection-diffusion equation for heat becomes:

$$\rho_0 c_p^0 \left(\frac{\partial\Theta}{\partial t} + \mathbf{u}\cdot\nabla\Theta\right) = \nabla\cdot(\rho_0 c_p^0 \kappa \nabla\Theta) + \dot{Q}$$

Because $c_p^0$ is a constant, it factors out cleanly. With potential temperature, the variable $c_p(\theta, S)$ would need to remain inside the derivatives, creating spurious sources and sinks of heat in numerical ocean models. The TEOS-10 standard recommends using $\Theta$ as the temperature variable in all ocean models and analyses.

Fortran: T-S Analysis Program for Water Mass Identification

This Fortran program reads CTD profile data and identifies water masses based on their T-S characteristics. It uses a nearest-neighbor approach in T-S space to classify each depth level:

Fortran: T-S Analysis Program for Water Mass Identification

Fortran

Water mass reference T-S values

program.f9051 lines

Click Run to execute the Fortran code

Code will be compiled with gfortran and executed on the server