Satellite-Based Sea Surface Temperature Analysis

Satellite-based analysis of sea surface temperature (SST) underpins our understanding of climate variability, weather forecasting and ocean–atmosphere interactions on a global scale. Instruments aboard polar‐orbiting and geostationary platforms measure thermal infrared and microwave emissions from the ocean surface, allowing continuous, broad‐scale retrievals of skin SST. These measurements are corrected for atmospheric effects, diurnal variability and sensor bias, then merged using statistical interpolation or data assimilation to generate gap-free fields at resolutions down to a few kilometres. Such analyses support detection of marine heatwaves, tracking of ocean currents, calibration of climate models and provision of boundary conditions for weather prediction. Advances in sensor design, retrieval algorithms and assimilation frameworks have steadily improved accuracy, temporal consistency and spatial coverage, making satellite SST a cornerstone of operational and research applications in oceanography and climate science.

Research from Nature Portfolio

Recent studies have employed high‐resolution surface‐ocean modelling, coupled with observations from uncrewed surface vehicles, to disentangle diurnal heating from sharp SST fronts in the tropical Pacific. Results reveal that diurnal warming peaks within the equatorial cold tongue and that persistent SST fronts modulate boundary‐layer stability and meridional wind patterns each afternoon. This work refines understanding of fine‐scale ocean–atmosphere coupling, demonstrating how daily SST changes feed back on surface pressure gradients and wind circulations. The insights gained inform validation of satellite retrievals, enhance parameterisations of diurnal processes in climate models and highlight the role of SST fronts in regulating regional climate variability.

Research from all publishers

Researchers have developed a gap‐free Arctic climate dataset spanning 1982–2021 by optimally interpolating multi‐satellite infrared observations to a daily 0.05° grid, validated against drifting buoys, moored instruments and airborne measurements. This dataset reveals an Arctic surface warming of around 4.5 °C over four decades, peaking at 10 °C in the northeastern Barents Sea. A global 42‐year SST time‐series (1980–2021) utilises twenty infrared and two microwave radiometers, adjusted for differing measurement times to avoid aliasing, yielding daily merged analyses with quantified uncertainties on a 0.05° grid. Foundational operational frameworks, such as a globally run system that fuses satellite and in situ data through advanced data assimilation, continue to provide daily, gap‐filled SST and sea‐ice concentration fields for numerical weather prediction, with ongoing enhancements to assimilation schemes and uncertainty characterisation.

Satellite-Based Sea Surface Temperature Analysis publication trend

The graph below shows the total number of articles in satellite-based sea surface temperature analysis across all publications each year (not limited to Nature Index journals).

Technical terms

Sea Surface Temperature (SST): Temperature of the ocean’s topmost layer inferred from satellite or in situ sensors.

Diurnal warming: Increase in surface temperature over the course of a day due to solar heating.

Data assimilation: Technique for integrating observational data into model outputs to produce consistent analyses.

Gap‐filling: Statistical interpolation method used to estimate missing values in spatial or temporal datasets.

Infrared radiometer: Satellite instrument that measures thermal infrared emissions from the sea surface to derive temperature.

References

1. A combined sea and sea-ice surface temperature climate dataset of the Arctic, 1982–2021. Remote Sensing of Environment (2023).
2. Diurnal warming rectification in the tropical Pacific linked to sea surface temperature front. Nature Geoscience (2024).
3. Satellite-based time-series of sea-surface temperature since 1980 for climate applications. Scientific Data (2024).
4. The Current Configuration of the OSTIA System for Operational Production of Foundation Sea Surface Temperature and Ice Concentration Analyses. Remote Sensing (2020).