Sea-surface temperature (SST) was one of the first ocean variables to be studied from earth
observation satellites. Pioneering images from infrared scanning radiometers revealed the …

Satellite remote sensing can detect and predict subsurface temperature and salinity
structure within the ocean over large scales. In the era of big ocean data, making full use of …

Subsurface ocean observations are sparse and insufficient, significantly constraining studies
of ocean processes. Retrieving high-resolution subsurface dynamic parameters from remote …

South of Australia, where the baroclinicity in the Subantarctic Front extends almost to the
seafloor, the geopotential height of the sea surface (ϕ) and the vertical acoustic travel time …

Salinity Profile Estimation in the Pacific Ocean from Satellite Surface Salinity Observations in:
Journal of Atmospheric and Oceanic Technology Volume 36 Issue 1 (2019) Jump to …

In this study, an attention U-net network was proposed to reconstruct the subsurface
temperature (ST) field with high temporal and spatial resolution in the South China Sea …

Remote sensing data provide a huge number of sea surface observations, but cannot give
direct information on deeper ocean layers, which can only be provided by sparse in situ …

Ocean observation is essential for studying ocean dynamics, climate change, and carbon
cycles. Due to the difficulty and high cost of in situ observations, existing ocean observations …

Accurately estimating the ocean's interior structures using sea surface data is of vital
importance for understanding the complexities of dynamic ocean processes. In this study …

Combining the dynamical surface‐trapped mode derived from the Surface Quasi‐
Geostrophic (SQG) function with the statistical mode calculated from multivariate empirical …