Coati optimization algorithm based Deep Convolutional Forest method for prediction of atmospheric and oceanic parameters.

Droughts and floods are examples of extreme weather events that can result from changes in ocean temperature. Ocean temperature is a key component of the global open sea system. Currently, real-time sea surface temperature (SST) forecasts are generated by numerical models based on physics principles and influenced by boundary and initial conditions.