Chinese researchers have created an artificial intelligence-based reversal and prediction system for the Indonesian Transitional Flow (ITF) that can make reliable predictions about ocean currents seven months from now.
As reported by Ukrinform, this was reported by Xinhua.
The ITF operates as an important arm of the global heat and salt conveyor that carries the upper ocean waters from the Pacific to the Indian Ocean via the Indonesian seas.
Previously, researchers did not have ideal methods for estimating ITF due to model errors in current numerical simulation systems.
In this new study, Chinese researchers from the Oceanology Institute of the Chinese Academy of Sciences and Nanjing University of Information Science and Technology used satellite data and artificial intelligence-based models to create an inversion and prediction system for the ITF.
The researchers used sea surface height between the Indian and Pacific ocean basins to develop their AI model and fed the model with ocean datasets.
They then input the satellite data collected between 1993 and 2021 into the system to reconstruct the ITF for that period.
The results were fully consistent with internationally recognized ITF field observation data. Meanwhile, the artificial intelligence system can make reliable predictions seven months in advance.
As reported by Ukrinform, the British government is launching an innovative program to support the use of artificial intelligence (AI) to reduce carbon emissions.
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