Articles | Volume 28, issue 14
https://doi.org/10.5194/hess-28-3261-2024
https://doi.org/10.5194/hess-28-3261-2024
Research article
 | 
25 Jul 2024
Research article |  | 25 Jul 2024

Skill of seasonal flow forecasts at catchment scale: an assessment across South Korea

Yongshin Lee, Francesca Pianosi, Andres Peñuela, and Miguel Angel Rico-Ramirez

Model code and software

SEAFORM University of Bristol https://doi.org/10.5281/zenodo.12800811

SEAFLOW University of Bristol https://doi.org/10.5281/zenodo.12800917

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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.