Articles | Volume 30, issue 2
https://doi.org/10.5194/hess-30-459-2026
https://doi.org/10.5194/hess-30-459-2026
Research article
 | 
29 Jan 2026
Research article |  | 29 Jan 2026

Evaluating the feasibility of scaling the FIER framework for large-scale flood inundation prediction

Kel N. Markert, Hyongki Lee, Gustavious P. Williams, E. James Nelson, Daniel P. Ames, Robert E. Griffin, and Franz J. Meyer

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Short summary
Flooding is a major problem and predicting it accurately over large areas is tough. This study tested a new approach to forecast floods across a large region in the United States. By dividing the area into smaller areas to develop the prediction models and then combining, the method successfully simulated surface water extent for both high and low flow periods. The results were more accurate than existing approaches with similar methods which can improve flood forecasting for larger areas.
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