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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Cited articles

Bates, P. D., Pappenberger, F., and Romanowicz, R. J.: Uncertainty in Flood Inundation Modelling, in: Applied Uncertainty Analysis for Flood Risk Management, Imperial College Press, 232–269, https://doi.org/10.1142/9781848162716_0010, 2014. 
Ben-Haim, Z., Anisimov, V., Yonas, A., Gulshan, V., Shafi, Y., Hoyer, S., and Nevo, S.: Inundation Modeling in Data Scarce Regions, arXiv [preprint], https://doi.org/10.48550/arXiv.1910.05006, 30 October 2019. 
Chang, C. H., Lee, H., Kim, D., Hwang, E., Hossain, F., Chishtie, F., Jayasinghe, S., and Basnayake, S.: Hindcast and forecast of daily inundation extents using satellite SAR and altimetry data with rotated empirical orthogonal function analysis: Case study in Tonle Sap Lake Floodplain, Remote Sens. Environ., 241, 111732, https://doi.org/10.1016/J.RSE.2020.111732, 2020. 
Chang, C.-H., Lee, H., Do, S. K., Du, T. L. T., Markert, K., Hossain, F., Ahmad, S. K., Piman, T., Meechaiya, C., Bui, D. D., Bolten, J. D., Hwang, E., and Jung, H. C.: Operational forecasting inundation extents using REOF analysis (FIER) over lower Mekong and its potential economic impact on agriculture, Environ. Modell. Softw., 162, 105643, https://doi.org/10.1016/j.envsoft.2023.105643, 2023. 
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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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