Pulse Brain · Growing Health Evidence Index
Peer-reviewed

High-resolution impact-based early warning system for riverine flooding

Husain Najafi, Pallav Kumar Shrestha, Oldřich Rakovec, Heiko Apel, Sergiy Vorogushyn, Rohini Kumar, Stephan Thober, Bruno Merz, Luis Samaniego

Nature Communications · 2024

Read source ↗ All evidence

Summary

Despite considerable advances in flood forecasting during recent decades, state-of-the-art, operational flood early warning systems (FEWS) need to be equipped with near-real-time inundation and impact forecasts and their associated uncertainties. High-resolution, impact-based flood forecasts provide insightful information for better-informed decisions and tailored emergency actions. Valuable information can now be provided to local authorities for risk-based decision-making by utilising high-resolution lead-time maps and potential impacts to buildings and infrastructures. Here, we demonstrate a comprehensive floodplain inundation hindcast of the 2021 European Summer Flood illustrating these possibilities for better disaster preparedness, offering a 17-hour lead time for informed and advisa

Source type
Peer-reviewed study
DOI
10.1038/s41467-024-48065-y
Catalogue ID
SNmokeh1yq-58dai2
Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.