article published yes Vinh Ngoc Tran author Xun Huan author Anindya Das Antar author Nikola Banovic author Jeff H. Bednar author Shannon Marie Bergt author Chen Cheng author Francina Dominguez author Simone Fatichi author cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6 Richard Gonzalez author Kevin Gray author Brian Jewett author Jongho Kim author Phong V.V. Le author Dan Lu author Snehal Prabhudesai author Deffi Putri author Sudhansu Rath author Khachik Sargsyan author Sarah H. Whitaker author Daniel B. Wright author Donghui Xu author John P. Ziker author Valeriy Y. Ivanov author Society faces increasingly severe flood hazards, intensifying demand for flood early warning systems (FEWS) that deliver accurate and actionable information. However, most existing FEWS remain prediction‐centric, treating decision‐making as a downstream consumer of hazard forecasts while offering limited support for uncertainty interpretation, risk communication, and real‐world response. This Perspective presents a vision and blueprint for a novel inland FEWS‐decision‐making (FEWS‐DM) framework that repositions decision‐making as an equal partner in the forecasting process—not a passive recipient of its outputs. The framework is built on three tightly coupled, co‐evolving thrusts: Physical Science (T1), which advances flood prediction with quantified uncertainty informed by decision relevance; Human Science (T2), which incorporates psychology, behavior, and cultural and institutional context; and Decision Science (T3), which unifies physical predictions and human factors through principled, utility‐based decision support with end‐to‐end uncertainty management. Rather than treating T1 as a solved problem, FEWS‐DM recognizes that forecast development itself must be shaped by decision needs through continuous bidirectional feedback. We identify key scientific, behavioral, and operational challenges limiting such integration and discuss the enabling role of AI, while emphasizing human‐centered design and community feedback as essential for building trust and improving flood risk management.</jats:p> American Geophysical Union2026 eng 2328-427710.1029/2026ef008857 146 yes V.N. Tran, X. Huan, A.D. Antar, N. Banovic, J.H. Bednar, S.M. Bergt, C. Cheng, F. Dominguez, S. Fatichi, R. Gonzalez, K. Gray, B. Jewett, J. Kim, P.V.V. Le, D. Lu, S. Prabhudesai, D. Putri, S. Rath, K. Sargsyan, S.H. Whitaker, D.B. Wright, D. Xu, J.P. Ziker, V.Y. Ivanov, Earth’s Future 14 (2026). Tran, Vinh Ngoc, et al. “Reimagining How Flood Warnings Can Inform Decision‐making and Community Actions.” <i>Earth’s Future</i>, vol. 14, no. 6, e2026EF008857, American Geophysical Union, 2026, doi:<a href="https://doi.org/10.1029/2026ef008857">10.1029/2026ef008857</a>. V. N. Tran <i>et al.</i>, “Reimagining how flood warnings can inform decision‐making and community actions,” <i>Earth’s Future</i>, vol. 14, no. 6. American Geophysical Union, 2026. Tran VN, Huan X, Antar AD, Banovic N, Bednar JH, Bergt SM, Cheng C, Dominguez F, Fatichi S, Gonzalez R, Gray K, Jewett B, Kim J, Le PVV, Lu D, Prabhudesai S, Putri D, Rath S, Sargsyan K, Whitaker SH, Wright DB, Xu D, Ziker JP, Ivanov VY. 2026. Reimagining how flood warnings can inform decision‐making and community actions. Earth’s Future. 14(6), e2026EF008857. Tran VN, Huan X, Antar AD, et al. Reimagining how flood warnings can inform decision‐making and community actions. <i>Earth’s Future</i>. 2026;14(6). doi:<a href="https://doi.org/10.1029/2026ef008857">10.1029/2026ef008857</a> Tran, Vinh Ngoc, Xun Huan, Anindya Das Antar, Nikola Banovic, Jeff H. Bednar, Shannon Marie Bergt, Chen Cheng, et al. “Reimagining How Flood Warnings Can Inform Decision‐making and Community Actions.” <i>Earth’s Future</i>. American Geophysical Union, 2026. <a href="https://doi.org/10.1029/2026ef008857">https://doi.org/10.1029/2026ef008857</a>. Tran, V. N., Huan, X., Antar, A. D., Banovic, N., Bednar, J. H., Bergt, S. M., … Ivanov, V. Y. (2026). Reimagining how flood warnings can inform decision‐making and community actions. <i>Earth’s Future</i>. American Geophysical Union. <a href="https://doi.org/10.1029/2026ef008857">https://doi.org/10.1029/2026ef008857</a> 224432026-07-27T12:30:23Z2026-08-06T09:02:33Z