The role of satellite remote sensing in mitigating and adapting to global climate change
Climate change has critical adverse impacts on human society and poses severe
challenges to global sustainable development. Information on essential climate variables …
challenges to global sustainable development. Information on essential climate variables …
Applications of deep learning in physical oceanography: a comprehensive review
Q Zhao, S Peng, J Wang, S Li, Z Hou… - Frontiers in Marine …, 2024 - frontiersin.org
Deep learning, a data-driven technology, has attracted widespread attention from various
disciplines due to the rapid advancements in the Internet of Things (IoT) big data, machine …
disciplines due to the rapid advancements in the Internet of Things (IoT) big data, machine …
Subsurface temperature reconstruction for the global ocean from 1993 to 2020 using satellite observations and deep learning
The reconstruction of the ocean's 3D thermal structure is essential to the study of ocean
interior processes and global climate change. Satellite remote sensing technology can …
interior processes and global climate change. Satellite remote sensing technology can …
Unabated global ocean warming revealed by ocean heat content from remote sensing reconstruction
As the most relevant indicator of global warming, the ocean heat content (OHC) change is
tightly linked to the Earth's energy imbalance. Therefore, it is vital to study the OHC and heat …
tightly linked to the Earth's energy imbalance. Therefore, it is vital to study the OHC and heat …
Reconstructing high-resolution subsurface temperature of the global ocean using deep forest with combined remote sensing and in situ observations
Estimating high-resolution ocean subsurface temperature has great importance for the
refined study of ocean climate variability and change. However, the insufficient resolution …
refined study of ocean climate variability and change. However, the insufficient resolution …
RaftNet: A new deep neural network for coastal raft aquaculture extraction from Landsat 8 OLI data
The rapid development of marine ranching in recent years provides a new way of tackling
the global food crisis. However, the uncontrolled expansion of coastal aquaculture has …
the global food crisis. However, the uncontrolled expansion of coastal aquaculture has …
Inversion of ocean subsurface temperature and salinity fields based on spatio-temporal correlation
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 …
cycles. Due to the difficulty and high cost of in situ observations, existing ocean observations …
Spatial-Temporal Siamese Convolutional Neural Network for Subsurface Temperature Reconstruction
S Zhang, Y Yang, K **e, J Gao, Z Zhang… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
The reconstruction of subsurface ocean temperature using sea surface observations and in
situ Argo measurements is an important yet challenging task. The availability of long-term …
situ Argo measurements is an important yet challenging task. The availability of long-term …
Quantifying spread in spatiotemporal changes of upper-ocean heat content estimates: an internationally coordinated comparison
The Earth system is accumulating energy due to human-induced activities. More than 90%
of this energy has been stored in the ocean as heat since 1970, with∼ 60% of that in the …
of this energy has been stored in the ocean as heat since 1970, with∼ 60% of that in the …
Global high-resolution random forest regression maps of ocean heat content anomalies using in situ and satellite data
The ocean, with its low albedo and vast thermal inertia, plays key roles in the climate system,
including absorbing massive amounts of heat as atmospheric greenhouse gas …
including absorbing massive amounts of heat as atmospheric greenhouse gas …