New Dual-Pathway Framework Significantly Improves Coastal Sea Surface Salinity Satellite Monitoring Accuracy

A groundbreaking dual-pathway framework is set to revolutionize how scientists measure coastal sea surface salinity (SSS) using satellite technology. By combining cleaner interferometric radiometer observations with advanced physical models of waves and currents, this approach addresses persistent errors caused by land contamination and imaging artifacts. This dual-pronged strategy effectively bridges the gap between raw data and accurate environmental modeling, enabling researchers to overcome long-standing limitations in near-shore data retrieval.

The methodology categorizes advancements by Technology Readiness Level to provide a scalable roadmap for the scientific community. Pathway I focuses on refining the measurement chain to suppress land-sea contamination, while Pathway II enhances forward models by incorporating complex factors like wave age, fetch, and shallow-water effects. This systematic integration is designed to move coastal products from their current 40–100 km resolution toward a more precise 10–20 km, achieving accuracy better than 0.3 psu near the coast.

Published in the Journal of Remote Sensing, this research offers a strategic vision for future satellite design and operational oceanography. By coordinating instrument teams and retrieval developers, the framework paves the way for reliable monitoring of river plumes, estuarine mixing, and climate-driven ecosystem shifts. This collaborative effort ensures that future spaceborne L-band radiometers can deliver the high-resolution data necessary for sustainable coastal management and freshwater transport analysis.