Articles | Volume 45
https://doi.org/10.5194/adgeo-45-147-2018
https://doi.org/10.5194/adgeo-45-147-2018
17 Aug 2018
 | 17 Aug 2018

Large-scale assessment of Prophet for multi-step ahead forecasting of monthly streamflow

Hristos Tyralis and Georgia A. Papacharalampous

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Short summary
We use the CAMELS dataset to compare two different approaches in multi-step ahead forecasting of monthly streamflow. The first approach uses past monthly streamflow information only, while the second approach additionally uses past information about monthly precipitation and/or temperature (exogenous information). The incorporation of exogenous information is made by utilizing Prophet, a model largely implemented in Facebook. The findings suggest that the compared approaches are equally useful.
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