The suitability of a seasonal ensemble hybrid framework including data-driven approaches for hydrological forecasting

HIGHLIGHTS

  • who: Hydrol. Earth Syst. Sci. and colleagues from the of Physical Geography, Utrecht University, Princetonlaan, a, Utrecht, the Netherlands have published the research: The suitability of a seasonal ensemble hybrid framework including data-driven approaches for hydrological forecasting, in the Journal: (JOURNAL)
  • what: In this study the suitability of a hybrid forecasting framework combining data-driven approaches and seasonal (re)forecasting information from dynamical models to predict hydrological variables was explored. Despite being trained on historical observations the hybrid framework used in this study shows similar skilful predictions to previous large-scale forecasting systems. With . . .

     

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