ePrints

Towards More Accurate Very Short-Range Flood Forecasts with Physics-Enhanced Machine Learning Models

Lookup NU author(s): Dr Manuel HerreraORCiD

Downloads

The full text of this item is currently under embargo and cannot be made publicly available until after publication.

Publication metadata

Author(s): Bezerra RPG, Eleuterio JC, Solha PB, Brentan BM, de Mello CR, Herrera M, Rodrigues AF

Publication type: Article

Publication status: In Press

Journal: Journal of Hydroinformatics

Year: 2026

Acceptance date: 21/04/2026

Date deposited: 22/04/2026

ISSN (print): 1464-7141

ISSN (electronic): 1465-1734

Publisher: IWA Publishing

URL: https://iwaponline.com/jh

Data Access Statement: Rainfall and streamflow time series are publicly available through the São Paulo State Department of Water and Energy (DAEE-SP) online platform. Information on reservoir operations and basin characteristics is provided by the Brazilian National Water Agency (ANA). No proprietary or confidential datasets were used. All data were obtained from open-access sources and can be retrieved directly from the respective repositories.

Share