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

Husain Najafi (), Pallav Kumar Shrestha, Oldrich Rakovec, Heiko Apel, Sergiy Vorogushyn, Rohini Kumar, Stephan Thober, Bruno Merz and Luis Samaniego ()
Additional contact information
Husain Najafi: UFZ-Helmholtz Centre for Environmental Research
Pallav Kumar Shrestha: UFZ-Helmholtz Centre for Environmental Research
Oldrich Rakovec: UFZ-Helmholtz Centre for Environmental Research
Heiko Apel: GFZ German Research Centre for Geosciences, Section Hydrology
Sergiy Vorogushyn: GFZ German Research Centre for Geosciences, Section Hydrology
Rohini Kumar: UFZ-Helmholtz Centre for Environmental Research
Stephan Thober: UFZ-Helmholtz Centre for Environmental Research
Bruno Merz: University of Potsdam, Institute of Environmental Science and Geography
Luis Samaniego: UFZ-Helmholtz Centre for Environmental Research

Nature Communications, 2024, vol. 15, issue 1, 1-12

Abstract: Abstract 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 advisable actions.

Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-024-48065-y Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-48065-y

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-024-48065-y

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().