A hybrid sarima-prophet model for predicting historical streamflow time-series of the sobat river in south sudan

HIGHLIGHTS

• What: In univariate time-series, which is the focus of this paper, a single variable or feature is exclusively observed at each data point, exemplified by the volumetric rate of water flow measured in cubic meters per second ­(m3/s). This study addresses this gap by investigating whether a hybrid SARIMA-Prophet model can improve the accuracy and robustness of streamflow forecasting for the Sobat River in South Sudan, compared to using SARIMA and Prophet individually. By combining these models, the authors aim to enhance the predictive performance, particularly in the context of hydrological time-series where . . .
  

   

  

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