Chinese researchers explore
satellite data-driven oceanic forecast
July 22
Chinese researchers have achieved
progress in intelligent oceanic forecasting driven by
satellite data, according to the Chinese Academy of
Sciences (CAS).
A joint team of researchers
developed the purely satellite data-driven deep learning
model for forecasting the evolution of sea surface
temperature associated with the tropical instability
wave, said the CAS.
The team, led by Li Xiaofeng, a
researcher of the Institute of Oceanology under the CAS,
was composed of professionals from multiple institutions
related to marine scientific research.
Their study was inspired by
available satellite remote sensing data and advancements
in deep learning technology. They have explored key
marine data and established a deep learning model to
conduct oceanic forecasts.
The study demonstrates the strong
potential of the satellite data-driven deep learning
model as an alternative to traditional numerical models
for forecasting oceanic phenomena.
The research result was published
in the journal Science Advances.
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