Advances in the technologies for marine salinity measurement
L Gu, X He, M Zhang, H Lu - Journal of Marine Science and Engineering, 2022 - mdpi.com
As one of the most important physical parameters of seawater, salinity is essential to study
climatological change, to trace seawater masses and to model ocean dynamics. The …
climatological change, to trace seawater masses and to model ocean dynamics. The …
SMOS: The challenging sea surface salinity measurement from space
Soil Moisture and Ocean Salinity, European Space Agency, is the first satellite mission
addressing the challenge of measuring sea surface salinity from space. It uses an L-band …
addressing the challenge of measuring sea surface salinity from space. It uses an L-band …
A deep learning network to retrieve ocean hydrographic profiles from combined satellite and in situ measurements
B Buongiorno Nardelli - Remote sensing, 2020 - mdpi.com
An efficient combination of remotely-sensed data and in situ measurements is needed to
obtain accurate 3D ocean state estimates, representing a fundamental step to describe …
obtain accurate 3D ocean state estimates, representing a fundamental step to describe …
[HTML][HTML] Salinity profile estimation in the Pacific Ocean from satellite surface salinity observations
S Bao, R Zhang, H Wang, H Yan… - Journal of Atmospheric …, 2019 - journals.ametsoc.org
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 …
Journal of Atmospheric and Oceanic Technology Volume 36 Issue 1 (2019) Jump to …
A dynamical‐statistical approach to retrieve the ocean interior structure from surface data: SQG‐mEOF‐R
H Yan, H Wang, R Zhang, J Chen… - Journal of …, 2020 - Wiley Online Library
Combining the dynamical surface‐trapped mode derived from the Surface Quasi‐
Geostrophic (SQG) function with the statistical mode calculated from multivariate empirical …
Geostrophic (SQG) function with the statistical mode calculated from multivariate empirical …
Reconstructing three-dimensional salinity field of the South China Sea from satellite observations
High-resolution salinity information is of great significance for understanding the marine
environment. We here propose a deep learning model denoted the “Attention U-net network” …
environment. We here propose a deep learning model denoted the “Attention U-net network” …
Recovery of temperature, salinity, and potential density from ocean reflectivity
This work explores a method to recover temperature, salinity, and potential density of the
ocean using acoustic reflectivity data and time and space coincident expendable …
ocean using acoustic reflectivity data and time and space coincident expendable …
Marine seismic observation of internal solitary wave packets in the northeast S outh C hina S ea
Q Tang, R Hobbs, D Wang, L Sun… - Journal of …, 2015 - Wiley Online Library
Recently the novel seismic oceanography method has been reported to be an effective way
to study the energetic internal solitary waves (ISWs) in the northern South China Sea. An …
to study the energetic internal solitary waves (ISWs) in the northern South China Sea. An …
New blending algorithm to synergize ocean variables: The case of SMOS sea surface salinity maps
Using the information of an ocean variable of a given kind to improve another variable of a
different kind may be a challenging task, especially when they undergo different physical …
different kind may be a challenging task, especially when they undergo different physical …
Neural network approach to retrieving ocean subsurface temperatures from surface parameters observed by satellites
H Cheng, L Sun, J Li - Water, 2021 - mdpi.com
The extraction of physical information about the subsurface ocean from surface information
obtained from satellite measurements is both important and challenging. We introduce a …
obtained from satellite measurements is both important and challenging. We introduce a …