[HTML][HTML] A review of artificial intelligence in marine science
Utilization and exploitation of marine resources by humans have contributed to the growth of
marine research. As technology progresses, artificial intelligence (AI) approaches are …
marine research. As technology progresses, artificial intelligence (AI) approaches are …
Parameterizing vertical mixing coefficients in the ocean surface boundary layer using neural networks
Vertical mixing parameterizations in ocean models are formulated on the basis of the
physical principles that govern turbulent mixing. However, many parameterizations include …
physical principles that govern turbulent mixing. However, many parameterizations include …
The K‐profile parameterization augmented by deep neural networks (KPP_DNN) in the general ocean turbulence model (GOTM)
Abstract This study utilizes Deep Neural Networks (DNN) to improve the K‐Profile
Parameterization (KPP) for the vertical mixing effects in the ocean's surface boundary layer …
Parameterization (KPP) for the vertical mixing effects in the ocean's surface boundary layer …
Parameterization of Langmuir circulation under geostrophic effects using the data-driven approach
Y Gao, J Song, S Li, C Yu, P Hao - Progress in Oceanography, 2025 - Elsevier
Langmuir circulation (LC) and geostrophic effects are crucial physical processes that affect
upper-ocean mixing. This study investigates the impact of LC on ocean mixing with a …
upper-ocean mixing. This study investigates the impact of LC on ocean mixing with a …
Quantifying the Potential Contribution of Submerged Aquatic Vegetation to Coastal Carbon Capture in a Delta System from Field and Landsat 8/9-Operational Land …
Submerged aquatic vegetation (SAV) are highly efficient at carbon sequestration and,
despite their relatively small distribution globally, are recognized as a potentially valuable …
despite their relatively small distribution globally, are recognized as a potentially valuable …
Whitecap Fraction Parameterization and Understanding with Deep Neural Network
S Zhou, F Xu, R Shi - Remote Sensing, 2022 - mdpi.com
Accurate calculation of the whitecap fraction is of great importance for the estimation of air-
sea momentum flux, heat flux and sea-salt aerosol flux in Earth system models. Past …
sea momentum flux, heat flux and sea-salt aerosol flux in Earth system models. Past …
The Effect of an Exponentially Decaying Upper-Ocean Vertical Mixing on the Pacific Tropical Sea Surface Temperature
Z Wang, Y Liu, X Yin, M Zhang… - Journal of Physical …, 2023 - journals.ametsoc.org
We investigate the mechanisms with which the sea surface temperature (SST) in the tropical
Pacific responds to the perturbation of an exponential form to the background vertical mixing …
Pacific responds to the perturbation of an exponential form to the background vertical mixing …
Physically Constrained Adaptive Deep Learning for Ocean Vertical-Mixing Parameterization
J Fang, X Li, J Li, Z Huang, Y Yu, X Huang… - Advances in Atmospheric …, 2025 - Springer
Existing traditional ocean vertical-mixing schemes are empirically developed without a
thorough understanding of the physical processes involved, resulting in a discrepancy …
thorough understanding of the physical processes involved, resulting in a discrepancy …
A Neural Network-Based Submesoscale Vertical Heat Flux Parameterization and Its Implementation in Regional Ocean Modeling System (ROMS)
Submesoscale processes, with spatio-temporal scales of O (0.01-10) km and hours to 1 day
which are hardly resolved by current ocean models, are important sub-grid processes in …
which are hardly resolved by current ocean models, are important sub-grid processes in …
An evaluation of vertical mixing parameterization of ocean boundary layer turbulence for cohesive sediments
Accurate parameterization for both diffusivity and turbulent kinetic energy (TKE) dissipation
rate is important for the simulation of reactive tracers such as cohesive sediments. We …
rate is important for the simulation of reactive tracers such as cohesive sediments. We …