FROSTBYTE: a reproducible data-driven workflow  for probabilistic seasonal streamflow forecasting  in snow-fed river basins across North America

Arnal, Louise; Clark, Martyn P.; Pietroniro, Alain; Vionnet, Vincent; Casson, David R.; Whitfield, Paul H.; Fortin, Vincent; Wood, Andrew W.; Knoben, Wouter J. M.; Newton, Brandi W.; Walford, Colleen

doi:https://doi.org/10.5194/hess-28-4127-2024

Articles | Volume 28, issue 17

https://doi.org/10.5194/hess-28-4127-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-28-4127-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 28, issue 17

Research article

|

12 Sep 2024

Research article |

| 12 Sep 2024

FROSTBYTE: a reproducible data-driven workflow for probabilistic seasonal streamflow forecasting in snow-fed river basins across North America

Louise Arnal, Martyn P. Clark, Alain Pietroniro, Vincent Vionnet, David R. Casson, Paul H. Whitfield, Vincent Fortin, Andrew W. Wood, Wouter J. M. Knoben, Brandi W. Newton, and Colleen Walford

Data sets

FROSTBYTE: Forecasting River Outlooks from Snow Timeseries: Building Yearly Targeted Ensembles Louise Arnal et al. https://doi.org/10.5281/zenodo.12100921

Model code and software

FROSTBYTE: Forecasting River Outlooks from Snow Timeseries: Building Yearly Targeted Ensembles Louise Arnal et al. https://doi.org/10.5281/zenodo.12100921

FROSTBYTE: Forecasting River Outlooks from Snow Timeseries: Building Yearly Targeted Ensembles Louise Arnal et al. https://doi.org/10.5281/zenodo.13381746

Short summary

Forecasting river flow months in advance is crucial for water sectors and society. In North America, snowmelt is a key driver of flow. This study presents a statistical workflow using snow data to forecast flow months ahead in North American snow-fed rivers. Variations in the river flow predictability across the continent are evident, raising concerns about future predictability in a changing (snow) climate. The reproducible workflow hosted on GitHub supports collaborative and open science.