Physical Quantity of Interest: Sea Surface Temperature
Before discussing satellite instruments or algorithms, it is important to define the geophysical quantity of interest. Sea Surface Temperature (SST) refers to the temperature of the ocean at or near the interface between the ocean and the atmosphere. However, this seemingly simple definition hides important physical distinctions.
Satellite infrared radiometers are sensitive to radiation emitted from the uppermost micrometres of the ocean surface, commonly referred to as the skin layer. The temperature inferred from thermal infrared measurements is therefore the skin SST, denoted \(T_{\text{skin}}\). In contrast, in-situ measurements from buoys or ships typically represent the bulk SST, measured at depths of order centimetres to meters, denoted \(T_{\text{bulk}}\).
The relationship between these quantities can be expressed schematically as:
$$T_{\text{skin}} = T_{\text{bulk}} + \Delta T$$where \(\Delta T\) represents the skin–bulk temperature difference, influenced by factors such as wind speed, solar heating, and turbulent mixing. This difference is typically small (on the order of a few tenths of a kelvin) but is not negligible for climate applications.
Satellites cannot measure SST directly. Instead, they observe thermal infrared radiance emitted by the ocean–atmosphere system. This radiance depends not only on surface temperature but also on atmospheric absorption and emission, surface emissivity, and viewing geometry. As a result, SST must be estimated indirectly by solving an inverse problem that links observed radiance to surface temperature through physical models.
Despite these limitations, SST is one of the most widely used satellite-derived geophysical variables. It plays a central role in:
- numerical weather prediction, where SST influences air–sea heat and moisture fluxes,
- ocean circulation and air–sea interaction studies,
- detection and analysis of climate variability and long-term trends,
- marine ecosystem and biogeochemical applications.
Because SST sits at the intersection of physics, observation, and modelling, it provides an ideal framework for illustrating the complexity and logic of satellite data processing chains.
Governing Thermodynamic Description of Sea Surface Temperature
To understand Sea Surface Temperature (SST) mathematically, we must view it as the thermodynamic result of the energy balance at the interface between the ocean and the atmosphere. In physical oceanography, SST is not a single value but a vertical profile. We differentiate between the Skin Temperature \(\text{SST}_{\text{skin}}\) and the Bulk Temperature \(\text{SST}_{\text{bulk}}\).Temperature as a Prognostic Variable
The ocean temperature field is a continuous function of space and time: $$T = T(x, y, z, t)$$ where,- \(x, y\) are horizontal coordinates,
- \(z\) is vertical depth (positive downward),
- \(t\) is time.
Heat Conservation Equation (First Law of Thermodynamics)
The local rate of change of temperature is governed by the heat equation: $$ \rho c_p \frac{\partial T}{\partial t} = - \nabla \cdot \mathbf{F}_{\text{heat}} + Q $$ where:- \(\rho\) is seawater density,
- \(c_p\) is specific heat capacity,
- \(\mathbf{F}_{\text{heat}}\) is the heat flux vector,
- \(Q\) represents internal heat sources (usually negligible near the surface).
Decomposition of Heat Flux
The heat flux consists of advective and diffusive components: $$ \mathbf{F}_{\text{heat}} = \rho c_p \mathbf{u} T - k \nabla T $$ where:- \(\mathbf{u}\) is the fluid velocity,
- \(k\) is thermal conductivity (or turbulent diffusivity).
Near-Surface Vertical Structure
Near the ocean surface, vertical gradients dominate over horizontal gradients. We simplify: $$ \frac{\partial T}{\partial t} \approx \frac{\partial}{\partial z} \left( \kappa \frac{\partial T}{\partial z} \right) $$ This approximation is valid within the upper few centimeters, where molecular and turbulent diffusion dominate.Boundary Condition at the Air–Sea Interface
At the surface \((z = 0)\), the vertical heat flux is set by the net air–sea heat exchange: $$ - k \frac{\partial T}{\partial z}\Big|_{z=0} = Q_{\text{net}} $$ where: $$Q_{\text{net}}= Q_{\text{sw}} - Q_{\text{lw}} - Q_{\text{sens}} - Q_{\text{lat}}$$ This boundary condition couples ocean thermodynamics to the atmosphere.Formation of the Skin Layer
In the uppermost micrometers, turbulent mixing vanishes and molecular diffusion dominates. Under quasi-steady conditions: $$ \frac{\partial}{\partial z} \left( k \frac{\partial T}{\partial z} \right)= 0 $$ which integrates to a linear gradient: $$\frac{\partial T}{\partial z} = -\frac{Q_{\text{net}}}{k}$$Skin–Bulk Temperature Difference
Integrating over the skin layer thickness (\delta): $$T_{\text{skin}} - T_{\text{bulk}} = - \int_0^{\delta} \frac{Q_{\text{net}}}{k}, dz$$ which yields: $$ \boxed{ \Delta T = T_{\text{skin}} - T_{\text{bulk}} \approx - \frac{Q_{\text{net}}}{\rho c_p u_*} } $$ where \(u_*\) is the friction velocity, representing turbulent exchange.This equation explains why:
- low wind → strong skin cooling,
- high wind → reduced skin–bulk difference.
Definition of Satellite-Relevant SST
Thermal infrared satellites sense radiation emitted from the skin layer, therefore: $$T_{\text{sat}} \equiv T_{\text{skin}} = T(z \rightarrow 0^+)$$ This is a boundary value, not a vertically averaged temperature.Radiative Expression of Skin Temperature
The skin temperature enters the radiation field via Planck’s law: $$ B(\lambda, T_{\text{skin}}) = \frac{2hc^2}{\lambda^5} \frac{1}{\exp\left(\frac{hc}{\lambda k T_{\text{skin}}}\right)-1} $$ The emitted ocean radiance is: $$L_{\text{surf}}(\lambda) = \varepsilon(\lambda) B(\lambda, T_{\text{skin}})$$Atmosphere–Ocean Coupled Observation Equation
Including atmospheric effects: $$L_{\text{TOA}}(\lambda) = \tau(\lambda) \varepsilon(\lambda) B(\lambda, T_{\text{skin}}) + L_{\text{atm}}^{\uparrow}(\lambda)$$ This is the forward physical model linking thermodynamics to satellite observations.Observed Quantity and Inversion Target
The satellite measures channel-integrated radiance: $$L_c = \int L_{\text{TOA}}(\lambda) R_c(\lambda) d\lambda$$ The retrieval problem is: $$ \boxed{ \text{Given } L_c \Rightarrow \text{Estimate } T_{\text{skin}} } $$ This is an inverse problem, constrained by thermodynamics, radiative transfer, and statistics.Conceptual Closure
Starting from the heat equation, we have shown that:- SST is governed by energy conservation
- The skin temperature emerges from surface boundary conditions.
- Satellites sense a thermodynamic boundary layer.
- SST retrieval is fundamentally a physics-based inversion.
Reference
- Fundamentals of Remote sensing
- Relevance of Electromagnetic waves in the context of earth observation
- Concept of the orbits for a satellite (non scientific discussion)
- How various teams works in close collaboration for the ground data processing?
- How raw satellite data is processed to do a level where you do your scientifc research?
- In depth understandingof the satellite data (op-of-atmosphere reflectance)
- Resolution and calibration
- Understanding how OLCI data is processed
- Transforming Energy into Imagery: How Satellite Data Becomes Stunning Views of Earth