Articles | Volume 21, issue 7
Research article
23 Jul 2021
Research article |  | 23 Jul 2021

Leveraging multi-model season-ahead streamflow forecasts to trigger advanced flood preparedness in Peru

Colin Keating, Donghoon Lee, Juan Bazo, and Paul Block

Model code and software

Peru Streamflow Prediction Colin Keating

Short summary
Disaster planning has historically underallocated resources for flood preparedness, but evidence supports reduced vulnerability via early actions. We evaluate the ability of multiple season-ahead streamflow prediction models to appropriately trigger early actions for the flood-prone Marañón River and Piura River in Peru. Our findings suggest that locally tailored statistical models may offer improved performance compared to operational physically based global models in low-data environments.
Final-revised paper