Hybrid physically based and machine learning model to enhance high streamflow prediction
This is an Accepted Manuscript of an article published by Taylor & Francis Group in Hydrological Sciences Journal on 2024, available online at: https://www.tandfonline.com/doi/full/10.1080/02626667.2024.2426720.
Authors
- Fernando Salazar (ORCID: https://orcid.org/0000-0002-5566-3253)
- Ernest Bladé (ORCID: https://orcid.org/0000-0003-1770-3960)
- Sergio Ricardo López-Chacón (ORCID: https://orcid.org/0000-0002-6720-3457)
Institutions
- International Center for Numerical Methods in Engineering (ES)
- Universitat Politècnica de Catalunya (ES)
Publication Details
- Journal
- Hydrological Sciences Journal
- Published
- 2024-11-06
- DOI
- https://doi.org/10.1080/02626667.2024.2426720
- Citations
- 4
- Primary Topic
- Hydrological Forecasting Using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.82
Funders
- Centres de Recerca de Catalunya
- European Commission
- Generalitat de Catalunya
- European Regional Development Fund
- Agencia Estatal de Investigación