Advances in Geosciences
Advances in Geosciences
ADGEO
Articles | Volume 45
Articles | Volume 45
https://doi.org/10.5194/adgeo-45-201-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/adgeo-45-201-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 45
27 Aug 2018
 | 27 Aug 2018

Evaluation of random forests and Prophet for daily streamflow forecasting

Georgia A. Papacharalampous and Hristos Tyralis

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Short summary
The predictive performance of random forests (a machine learning algorithm) and three configurations of Prophet (a method largely implemented in Facebook) is assessed in daily streamflow forecasting in a river in the US. Random forests perform better compared to the utilized benchmarks, i.e. a naïve method and a multiple regression linear model, while Prophet's performance is subject to improvements. Random forests are recommended for daily streamflow forecasting.
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