Moving Towards Transilience: Rethinking the Role of Flood Early Warning Systems in a Changing World
Patrick Painter , Kathryn Semmens , Céline Cattoën , Rachel Hogan Carr , Keri Maxfield
Flood early warning systems (FEWS) are established globally to support communities in building resilience to flooding and in preparing for and responding to disasters. However, amid climatic and technological change, it is unclear how FEWS might evolve to remain effective. We review resilience as the capacity to “bounce back” and introduce transilience as the capacity to “bounce forward” in the context of disaster risk reduction. We argue that FEWS can help flood-vulnerable communities innovate and find new opportunities to transform their flood risk management for the better (that is, transilience). Technological evolution, advancing flood monitoring and forecasting, creates opportunities for communities to improve the entire flood early warning value chain. We use case studies to show how communities have leveraged technology to address changing flood impacts and reduce vulnerabilities that often precipitate or exacerbate flood disasters. We also review how global multi-hazard early warning initiatives and priorities increasingly reflect transilience. This perspective contributes to conversations about the importance of making communities central to FEWS design and using technology to better understand and meet community needs in disaster risk management.
Climate change / Flood early warning systems / Multi-hazard early warning systems / Resilience / Technology / Transilience
| [1] |
Azeem, S., H.A. Cheema, A. Shahid, F. Al-Mamun, S. Rackimuthu, M.E.U. Rehman, M.Y. Essar, and K.Y. Lee. 2023. Devastating floods in South Asia: The inequitable repercussions of climate change and an urgent appeal for action. Public Health in Practice 5: Article 100365. |
| [2] |
|
| [3] |
|
| [4] |
|
| [5] |
CIMA Research Foundation. 2022. Institutional and operational framework for Multi-Hazard Early Warning and Early Action System (MHEWAS) for Africa. Savona, Italy: CIMA Research Foundation. https://www.undp.org/africa/publications/africa-multi-hazard-early-warning-and-early-action-system. Accessed 18 Dec 2025. |
| [6] |
Clarke, B., C. Barnes, R. Rodrigues, M. Zachariah, L.M. Alves, R. Haarsma, I. Pinto, and W. Yan, et al. 2024a. Climate change, El Niño and infrastructure failures behind massive floods in southern Brazil. London: Centre for Environmental Policy. |
| [7] |
|
| [8] |
Erokhin, D., and N. Komendantova. 2024. Social media data for disaster risk management and research. International Journal of Disaster Risk Reduction 114: Article 104980. |
| [9] |
|
| [10] |
Folke, C. 2016. Resilience (republished). Ecology and Society 21(4): Article 44. |
| [11] |
|
| [12] |
Google Crisis Response. n.d. Helping people and communities be prepared, safe and resilient in times of crisis. https://crisisresponse.google/. Accessed 3 Dec 2025. |
| [13] |
Google Research. n.d. Flood forecasting. https://sites.research.google/gr/floodforecasting/. Accessed 3 Dec 2025. |
| [14] |
Hawker, L., M.A. Trigg, A. Kruczkiewicz, M. Bernhofen, L. Katsi, R. Paterson, L. Speight, and J. Van Den Hoek et al. 2025. Data, guidelines and ethics for managing flood risk when people are already forcibly displaced. Environmental Research Letters 20: Article 011001. |
| [15] |
|
| [16] |
Hoyer Gosselink, B., and M. Royz. 2024. How AI flood forecasting can help communities in need. The Keyword, Google, 5 February 2024. https://blog.google/outreach-initiatives/sustainability/4-flood-forecasting-collaboration-case-studies-show-how-ai-can-help-communities-in-need/. Accessed 7 Nov 2025. |
| [17] |
ICFM (International Conferences on Flood Management). 2024. ICFM webinar no. 13: African floods of 2023. https://www.iahr.org/en/lives/details?live_id=158. Accessed 13 Mar 2024. |
| [18] |
IPCC (Intergovernmental Panel on Climate Change). 2014. Annex II: Glossary. In Climate change 2014: Impacts, adaptation, and vulnerability. Part B: Regional aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, ed. V.R. Barros, C.B. Field, D.J. Dokken, M.D. Mastrandrea, K.J. Mach, T.E. Bilir, M. Chatterjee, K.L. Ebi, et al., 1757–1776. Cambridge, UK: Cambridge University Press. |
| [19] |
|
| [20] |
Johnson, D., S. Harrison, C. Cattoën, J. Luttrell, and P. Blackett. 2025. “That still haunts me a little bit”: Decision-makers and information providers’ experiences of recurring flood events. International Journal of Disaster Risk Reduction 118: Article 105216. |
| [21] |
|
| [22] |
|
| [23] |
Liu, Z., N. Coleman, F.I. Patrascu, K. Yin, X. Li, and A. Mostafavi. 2025. Artificial intelligence for flood risk management: A comprehensive state-of-the-art review and future directions. International Journal of Disaster Risk Reduction 117: Article 105110. |
| [24] |
Lozano Nasi, V. 2023. Human transilience in the face of adversities: Embracing global challenges as stepping stones, rather than stumbling blocks. Doctoral thesis. University of Groningen, Groningen, The Netherlands. |
| [25] |
Lozano Nasi, V., L. Jans, and L. Steg. 2023. Can we do more than “bounce back”? Transilience in the face of climate change risks. Journal of Environmental Psychology 86: Article 101947. |
| [26] |
Lozano Nasi, V., L. Jans, and L. Steg. 2024a. Do I perceive that we as a community can persist, adapt flexibly, and positively transform? The relationship between collective transilience and community-based adaptation. Global Environmental Psychology 2: Article e11353. |
| [27] |
Lozano Nasi, V., L. Jans, and L. Steg. 2024b. Individual transilience in the face of the COVID-19 pandemic. Journal of Environmental Psychology 93: Article 102188. |
| [28] |
|
| [29] |
Matias, Y. 2023. Our support for early warning systems. The Keyword, Google, 22 June 2023. https://blog.google/outreach-initiatives/sustainability/early-warning-system-wmo-google/. Accessed 7 Nov 2025. |
| [30] |
Mentges, A., L. Halekotte, M. Schneider, T. Demmer, and D. Lichte. 2023. A resilience glossary shaped by context: Reviewing resilience-related terms for critical infrastructures. International Journal of Disaster Risk Reduction 96: Article 103893. |
| [31] |
Moulds, S., W. Buytaert, M.R. Templeton, and I. Kanu. 2021. Modeling the impacts of urban flood risk management on social inequality. Water Resources Research 57(6): Article e2020WR029024. |
| [32] |
NOAA NCEI (NOAA National Centers for Environmental Information). 2025. Helene in Southern Appalachia – One year later: An event analysis and how we move forward. Description of work. Asheville, NC: NCEI. https://storymaps.arcgis.com/stories/8887acbd2dbd4d28a68e79fe53cbfaa3. Accessed 30 Jan 2026. |
| [33] |
Noll, B., S. Kaplan, N. Kommenda, K. Crowe, and J. Muyskens. 2025. Deadly rivers in the sky: A Washington Post investigation shows where climate forces are fueling more dangerous floods. The Washington Post, 3 November 2025. https://www.washingtonpost.com/weather/interactive/2025/deadly-flooding-moisture-hotspots-maps/. Accessed 3 Nov 2025. |
| [34] |
NWS (National Weather Service). 2018. Service assessment: August/September 2017 Hurricane Harvey. https://www.weather.gov/media/publications/assessments/harvey6-18.pdf. Accessed 30 Jan 2026. |
| [35] |
|
| [36] |
Painter, P., K. Semmens, K. Maxfield, C. Cattoën, and R. Hogan Carr. 2025. Designing effective flood early warning systems: A review of barriers, best practices, and key characteristics. Journal of Flood Risk Management 18(4): Article e70145. |
| [37] |
Palmer, J. 2023. Colombian city pioneers path to “early warnings for all”. Eos, 20 June 2023. https://doi.org/10.1029/2023EO230230. |
| [38] |
Patel, S.S., M.B. Rogers, R. Armlôt, and G.J. Rubin. 2017. What do we mean by “community resilience”? A systematic literature review of how it is defined in the literature. PLoS Currents 9. https://doi.org/10.1371/currents.dis.db775aff25efc5ac4f0660ad9c9f7db2. |
| [39] |
|
| [40] |
Perera, D., O. Seidou, J. Agnihotri, M. Rasmy, V. Smakhtin, P. Coulibaly, and H. Mehmood. 2019. Flood early warning systems: A review of benefits, challenges and prospects. UNU-INWEH report series no. 08. United Nations University Institute for Water, Environment and Health (UNU-INWEH), Richmond Hill, Ontario, Canada. |
| [41] |
Perera, D., J. Agnihotri, O. Seidou, and R. Djalante. 2020. Identifying societal challenges in flood early warning systems. International Journal of Disaster Risk Reduction 51: Article 101794. |
| [42] |
|
| [43] |
Reichstein, M., V. Benson, J. Blunk, G. Camps-Valls, F. Creutzig, C.J. Fearnley, B. Han, and K. Kornhuber et al. 2025. Early warning of complex climate risk with integrated artificial intelligence. Nature Communications 16(1): Article 2564. |
| [44] |
Ritchie, H. 2024. The world has become more resilient to disasters, but investment is needed to save more lives. https://ourworldindata.org/the-world-has-become-more-resilient-to-disasters-but-investment-is-needed-to-save-more-lives. Accessed 27 Oct 2025. |
| [45] |
|
| [46] |
Ruiz-Carrascal, D., A.B. Acevedo, M.D. Zuluaga, G. Ramírez, D.F. Ruiz, D.S. Avellaneda-Jiménez, A.M. Carmona, and C. Guzmán et al. 2026. The early warning system of the city of Medellín and the Aburrá Valley – Siata, Colombia: A +20-year prolific journey. Climate Services 42: Article 100653. |
| [47] |
Semmens, K.A., R.H. Carr, K. Maxfield, and J. Sickler. 2023. CREATE resilience through science, art, and community engagement. Community Science 2(3): Article e2023CSJ000028. |
| [48] |
Semmens, K., R.H. Carr, B. Montz, K. Maxfield, P. Painter, J.A. Nelson, D. Bright, and E. Bower et al. 2026. Integrating stakeholder feedback to inform development of a new urban rain rate dashboard forecast product. Bulletin of the American Meteorological Society 107(3): E753–E769. |
| [49] |
Shun, M., and V. Lummis. 2023. Sending cash to flood survivors – 4 things we got right and wrong. GiveDirectly, 27 July 2023. https://www.givedirectly.org/flood-pilots/. Accessed 8 Nov 2025. |
| [50] |
|
| [51] |
Tradowsky, J.S., S.Y. Philip, F. Kreienkamp, S.F. Kew, P. Lorenz, J. Arrighi, T. Bettmann, S. Caluwaerts, et al. 2023. Attribution of the heavy rainfall events leading to severe flooding in Western Europe during July 2021. Climatic Change 176(90). https://doi.org/10.1007/s10584-023-03502-7. |
| [52] |
|
| [53] |
UNDRR (United Nations Office for Disaster Risk Reduction). 2017a. The Sendai framework terminology on disaster risk reduction. “Early warning system”. Geneva: UNDRR. https://www.undrr.org/terminology/early-warning-system. Accessed 21 Jul 2025. |
| [54] |
UNDRR (United Nations Office for Disaster Risk Reduction). 2017b. The Sendai framework terminology on disaster risk reduction. “Resilience”. Geneva: UNDRR. https://www.undrr.org/terminology/resilience. Accessed 31 Oct 2025. |
| [55] |
van Oldenborgh, G.J., K. van der Wiel, A. Sebastian, R. Singh, J. Arrighi, F. Otto, K. Haustein, and S. Li et al. 2017. Attribution of extreme rainfall from Hurricane Harvey, August 2017. Environmental Research Letters 12(12): Article 124009. |
| [56] |
|
| [57] |
Wallemacq, P., and R. House. 2018. Economic losses, poverty & disasters: 1998–2017. Centre for Research on the Epidemiology of Disasters (CRED) and United Nations Office for Disaster Risk Reduction (UNDRR). https://www.undrr.org/quick/11678. Accessed 2 Feb 2026. |
| [58] |
|
| [59] |
|
| [60] |
WMO (World Meteorological Organization). 2022. Early Warnings for All: The UN Early Warning Initiative for the Implementation of Climate Adaptation – Executive Action Plan 2023–2027. Geneva: WMO. https://library.wmo.int/idurl/4/58209. Accessed 11 Dec 2025. |
| [61] |
WMO and GWP (World Meteorological Organization and Global Water Partnership). 2025. Flood forecasting for all: Advancing practice together. WMO & GWP. https://waterclimatecommunities.info/resource/flood-forecasting-all-webinar-presentations. Accessed 13 Oct 2025. |
The Author(s)
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