Articles | Volume 28, issue 14
https://doi.org/10.5194/hess-28-3261-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-28-3261-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 Jul 2024
Research article |
| 25 Jul 2024
| 25 Jul 2024
Skill of seasonal flow forecasts at catchment scale: an assessment across South Korea
Yongshin Lee
CORRESPONDING AUTHOR
School of Civil, Aerospace and Design Engineering, University of Bristol, Bristol, BS8 1TR, United Kingdom
Francesca Pianosi
School of Civil, Aerospace and Design Engineering, University of Bristol, Bristol, BS8 1TR, United Kingdom
Andres Peñuela
Department of Agronomy, Unidad de Excelencia María de Maeztu, University of Cordoba, 14071 Cordoba, Spain
Miguel Angel Rico-Ramirez
School of Civil, Aerospace and Design Engineering, University of Bristol, Bristol, BS8 1TR, United Kingdom
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Short summary
Following recent advancements in weather prediction technology, we explored how seasonal weather forecasts (1 or more months ahead) could benefit practical water management in South Korea. Our findings highlight that using seasonal weather forecasts for predicting flow patterns 1 to 3 months ahead is effective, especially during dry years. This suggest that seasonal weather forecasts can be helpful in improving the management of water resources.
Following recent advancements in weather prediction technology, we explored how seasonal weather...
