[Figure 1] Structure of the KIST-Ocean Model Inference Process (IMAGE)
Caption
Predictions are made using the KIST-Ocean model, which has been trained on big data from atmospheric and oceanic observations and simulations spanning several decades. Three-dimensional ocean state data and atmospheric boundary conditions are input as initial conditions for the forecast, which are then used to predict the three-dimensional ocean state five days later. By repeating this process-where the predicted three-dimensional ocean state is re-inputted-up to 40 times, a global three-dimensional ocean forecast covering up to 200 days at five-day intervals is generated.
Credit
Korea Institute of Science and Technology
Usage Restrictions
The sources of photos and research results from KIST must be specified.
License
Original content