Ocean salinity is a key parameter in understanding ocean circulation, climate variability, and air-sea interactions. However, satellite-derived salinity products are often limited in spatial resolution.
This work uses:
Satellite SSS dataset, Auxiliary variables (SST, SSH, Windspeed), Deep learning (SRGAN), to reconstruct high-resolution salinity fields from degraded inputs.