Sea Surface Temperature Forecasting in the South China Sea: A Comparative Study of ARIMA and Expert Models Using MODIS Satellite Data
Accurate surveillance of sea surface temperature (SST) is necessary for interpreting oceanographic trends, the dynamics of marine ecosystems, and climate variability in this region. This study applies an integrated approach combining satellite imagery and statistical forecasting to analyze historical SST trends and pro...