Developing an open-source flood forecasting system adapted to data-scarce regions: A digital twin coupled with hydrologic-hydrodynamic simulations
Published in Journal of Hydrology, 2024
This paper developed an open-source flood-forecasting system for data-scarce regions using a digital-twin framework coupled with hydrologic-hydrodynamic simulations. It contributed a practical path toward early-warning tools where monitoring networks are limited.
Recommended citation: Rapalo, L. M. C., Gomes Jr., M. N., and Mendiondo, E. M. (2024). Developing an open-source flood forecasting system adapted to data-scarce regions: A digital twin coupled with hydrologic-hydrodynamic simulations. Journal of Hydrology, 131929. https://doi.org/10.1016/j.jhydrol.2024.131929
Paper / DOI