--- title: What the 2025 Texas Floods Teach About Effective Flood Early Warning Systems description: Learn what it takes to create an effective flood early warning system, with lessons from the 2025 Texas floods and other recent natural disasters image: https://blog.aem.eco/hubfs/flash%20flood.png --- [![AEM logo header](https://blog.aem.eco/hs-fs/hubfs/AEM_RGB-Logo-Colour_RGB-Logo-Colour-Mar-30-2022-02-04-12-03-PM.png?width=196&name=AEM_RGB-Logo-Colour_RGB-Logo-Colour-Mar-30-2022-02-04-12-03-PM.png)AEM Logo Header](https://aem.eco/) - Solutions ### Solutions - #### Data & Software - #### [AEM Elements® 360](https://aem.eco/product/elements-360/) - #### [Sferic Maps®](https://aem.eco/product/sferic-maps/) - #### [Data and APIs](https://aem.eco/product-type/data-api/) - #### Hardware - #### [Systems](https://aem.eco/product-type/systems/) - #### [Sensors](https://aem.eco/product-type/sensors/) - #### [Data Collection](https://aem.eco/product-type/data-collection/) - #### [Cameras](https://aem.eco/product-type/cameras/) - #### [Alerting](https://aem.eco/product-type/alerting/) - #### [Telemetry](https://aem.eco/product-type/telemetry/) - #### [Accessories](https://aem.eco/product-type/accessories/) - #### Professional Services - #### [Meteorological Services](https://aem.eco/service/meteorological-services/) - #### [Hydromet Services](https://aem.eco/service/hydromet-services/) - #### [Network Design](https://aem.eco/service/network-design/) - #### [Field Services & Installation](https://aem.eco/service/field-services-installation/) - #### [Maintenance and Calibration](https://aem.eco/service/maintenance/) - #### [Training](https://aem.eco/service/training/) - #### Solutions - #### [Flood Risk Management](https://aem.eco/solution/flood-risk-management/) - #### [Severe Weather Risk Management](https://aem.eco/solution/severe-weather-risk-management/) - #### [Wildfire Risk Management](https://aem.eco/solution/wildfire-risk-management/) - #### [Precision Agriculture](https://aem.eco/solution/precision-agriculture/) - #### [Lightning Detection](https://aem.eco/solution/lightning-detection/) - #### [Dam Safety](https://aem.eco/solution/dam-safety/) - #### [Community Weather](https://aem.eco/solution/personal-weather/) #### AEM Elements® Resiliency Platform Your essential toolkit for weather forecasting, hazard detection, and emergency response coordination. 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[Become a Partner](https://aem.eco/partners/) - [Contact us](https://aem.eco/contact-us/) # What the 2025 Texas Floods Teach About Effective Flood Early Warning Systems [Flood Risk Management](https://blog.aem.eco/tag/flood-risk-management) By [James Logan](https://blog.aem.eco/author/james-logan) [Share this blog post on Twitter](https://twitter.com/intent/tweet?text=I+found+this+interesting+blog+post&url=https://blog.aem.eco/what-the-2025-texas-floods-teach-about-effective-flood-early-warning-systems) [Share this blog post on Facebook](http://www.facebook.com/share.php?u=https://blog.aem.eco/what-the-2025-texas-floods-teach-about-effective-flood-early-warning-systems) [Share this blog post on LinkedIn](http://www.linkedin.com/shareArticle?mini=true&url=https://blog.aem.eco/what-the-2025-texas-floods-teach-about-effective-flood-early-warning-systems) ![](https://blog.aem.eco/hubfs/flash%20flood.png) Listen 12:50 Texas is one of the most experienced states in the country for managing flood risk. And yet, in 2025, a devastating series of floods resulted in significant loss of life and property. The hazard was identified well in advance. Warnings were issued. Even so, people and communities were still caught in harm’s way. If this can happen in a state with as much experience as Texas, it can happen anywhere. And it does—all too often. The lessons from the 2025 Texas floods extend far beyond the state itself, which is why we need to understand what happened in Texas and what it reveals about how early warning systems perform under real conditions. In order to surface key lessons from the 2025 Texas floods, we'll examine: - Why the Texas floods signal a [need for broader learning](https://blog.aem.eco/what-the-2025-texas-floods-teach-about-effective-flood-early-warning-systems#not-just-a-problem-for-texas) beyond Texas. - What actually [went wrong](https://blog.aem.eco/what-the-2025-texas-floods-teach-about-effective-flood-early-warning-systems#where-flood-early-warning-systems-broke-down) in Texas. - Why [piecemeal fixes](https://blog.aem.eco/what-the-2025-texas-floods-teach-about-effective-flood-early-warning-systems#why-piecemeal-fixes-fall-short) fall short. - The [need for a more holistic approach](https://blog.aem.eco/what-the-2025-texas-floods-teach-about-effective-flood-early-warning-systems#what-needs-to-change) to flood early warning systems. - What a [holistic approach might look](https://blog.aem.eco/what-the-2025-texas-floods-teach-about-effective-flood-early-warning-systems#holistic-approach) like in practice. ## Why the 2025 Texas floods aren't just a problem for Texas Texas is no stranger to flooding. Stretching across what is often referred to as “Flash Flood Alley,” the state experiences some of the most intense and rapid-onset flooding in the United States. Its coastline also faces recurring hurricane-driven storm surge and inland flooding, exposing communities to both sudden flash flood events and large-scale, slow-moving systems. Over time, that exposure has shaped how flood risk is understood and managed across the state. Large public investments have enabled monitoring networks to expand and public warning systems to evolve in response to repeated events. Improved coordination across state, county, and municipal agencies has strengthened forecast capabilities and emergency management practices. Taken together, these efforts have enabled Texas to increasingly adapt to the realities of both riverine and flash flooding. In many respects, Texas represents one of the most experienced environments in the country for managing flood risk. And yet, in 2025, a series of floods caused widespread fatalities. The breakdown resembled what we’ve seen across other recent disasters—from the [Maui wildfires](https://blog.aem.eco/we-are-maui) and fast-moving [fire events in California](https://blog.aem.eco/lessons-from-the-la-fires) to major storms like [Hurricane Helene](https://blog.aem.eco/6-lessons-we-need-to-learn-from-hurricane-helene). Hazards were identified in advance, and warnings were issued, but their significance was not always fully communicated or acted on. As a consequence, people lost their lives. These were not failures of awareness. They were not situations where risk was invisible or unforeseen. They point to something more fundamental. Understanding that fundamental challenge requires looking at the exact points where warnings failed to translate into action. ## Where flood early warning systems broke down The events in Texas reinforce a point that is often overlooked: early warning is not a single technology. It is a system. At a high level, an [effective flood warning system](https://blog.aem.eco/framework-for-developing-effective-flood-early-warning-systems) must perform well across several interconnected functions. Risk must be understood in advance. Conditions must be monitored and forecasted. Warnings must be translated into alerts that reach people with sufficient lead time. And people must be able to act on that information. [![flood principles](https://blog.aem.eco/hs-fs/hubfs/flood%20principles.png?width=756&height=187&name=flood%20principles.png)](https://lp.aem.eco/how-to-communicate-flood-risk-to-the-public?utm_source=blog&utm_medium=website&utm_campaign=Texas-Flood-Lessons-blog) In Texas, the first elements of that system largely performed as intended. The areas at risk were known. Forecasts indicated a high likelihood of flooding. Federal agencies issued multiple warnings in advance of the event. The breakdown occurred in how those warnings were translated into public alerts and in how the public responded to those alerts after they were issued. In fact, there were three distinct issues: - #### DELAYED ALERTS AND DECISION-MAKING UNDER PRESSURE Reporting in the aftermath of the floods found that, while warnings were issued overnight, [alerts were sometimes delayed](https://abcnews.com/US/kerr-county-officials-waited-90-minutes-send-emergency/story?id=123631023). The events point to a breakdown in how decisions were made under pressure. Early warnings depend on a series of judgments—how incoming forecasts are interpreted, how risk is assessed, and when authorities decide to act. When those decisions are delayed, the resulting alerts may arrive too late to support effective action during the limited window of opportunity. - #### **LIMITED REACH OF PUBLIC ALERTS** In other cases, alerts were issued but not translated into the most far-reaching forms of public communication. When public alerts are issued, systems exist to extend their reach. The Integrated Public Alert and Warning System (IPAWS), for example, is designed to distribute a single alert across multiple channels—including wireless emergency alerts to mobile devices—allowing authorities to reach large populations quickly. When [these high-reach systems are not used](https://www.propublica.org/article/ipaws-emergency-alerts-local-official-failures), alerts are constrained to narrower channels and smaller audiences. According to reports, that is [part of what occurred in Texas](https://www.nbcdfw.com/investigations/fema-records-kerr-county-didnt-send-eas-flood-warnings-phones/3882922/). In at least some areas, warnings were communicated through narrower, opt-in systems—such as CodeRED—that did not reach the full population at risk. - #### **PUBLIC NOT PREPARED TO RESPOND TO PUBLIC ALERTS** Even when public alerts reach the right people at the right time, tragedy can still strike. In one camp where the Texas floods had a particularly catastrophic impact, emergency procedures instructed campers to [shelter in place](https://www.foxnews.com/us/camp-mystic-leaders-prioritized-equipment-told-children-shelter-place-flooding-closed-in-lawsuit) during flooding. That policy allegedly contributed to 27 deaths as several cabins were washed downstream. It’s not enough to get alerts to the public; they must understand how to respond to them. Sustained and repeated public education campaigns—such as “Climb to higher ground,” “Turnaround don’t drown,” or “Know your evacuation routes”—can help the public learn the correct responses. Alerts should also *contain* clear directives whenever possible. These were not failures of detection. They were failures in how the system was used to communicate. But these failures are not unique to Texas. Similar patterns across other recent disasters, including Hurricane Helene and the Maui wildfires, indicate a common theme for why early warning systems fail. In each case, early indications of risk were available. Warnings were issued. But those warnings were not always translated into timely, widely distributed alerts that the public was prepared to respond to. The consequence, in each case, was the same: people did not receive information in a form or timeframe that allowed them to act effectively. ## Why piecemeal fixes to flood early warning systems fall short To their credit, communities and lawmakers have moved quickly in the aftermath of the Texas floods to [identify and address weaknesses in local alerting systems](https://blog.aem.eco/funding-the-future-of-flood-preparedness-in-texas). These efforts reflect a shared commitment to preventing similar tragedies in the future. A range of measures has been proposed or implemented in response. These include expanding the use of outdoor warning sirens, increasing investment in localized sensor networks, and deploying systems designed to detect hazards at the point of impact and trigger alerts in real time. These actions can improve awareness. But it is also important to recognize that the underlying problem cannot be solved simply by adding more devices. To do that, we need to take a more holistic view. The breakdown in Texas did not occur because hazards went undetected. It occurred because warnings were not consistently translated into timely, high-reach alerts that people could act on. Addressing that failure requires more than adding new detection points or localized alerting hardware. It requires ensuring that the components of the system work together to consistently translate situational awareness into timely, accessible alerts for all relevant stakeholders. Sirens provide a useful example. They play an important role in ensuring that alerts are heard by anyone within range. But when they are triggered by flood [sensors at the point of impact](https://www.khou.com/article/news/state/texas-news/texas-flood/texas-hill-country-flooding-camp-mystic-river-sentry-sensors/285-07cc7a3b-c447-4189-9657-dfa2bdd1f02d), they are responding to conditions that have already become dangerous. By that point, it may already be too late to act. If a siren is tied to conditions upstream—far enough upstream to create a usable window for action—it [can provide meaningful warning](https://phys.org/news/2025-12-strategic-river-sensors-forewarned-texas.html). How far upstream depends on how much time is needed to respond. The same system, configured differently, produces a different outcome. ## What needs to change in flood early warning systems Improving [early warning systems](https://aem.eco/solution/flood-risk-management/) requires more than strengthening individual components. It requires understanding how those components function together—from detection to decision to delivery—to ensure that the system as a whole performs reliably under real-world conditions. In many cases, the difference between an effective warning and a missed opportunity is not the availability of information, but how that information is interpreted and acted on under pressure. When decisions about when to generate alerts or which channels to use are not clearly defined ahead of time, they must be improvised, often with incomplete information and limited time. Those sorts of improvisational judgments in the heat of the moment are more likely to result in critical system failures.   [![how to communicate flood risk banner](https://blog.aem.eco/hs-fs/hubfs/how%20to%20communicate%20flood%20risk%20banner.png?width=756&height=187&name=how%20to%20communicate%20flood%20risk%20banner.png)](https://lp.aem.eco/how-to-communicate-flood-risk-to-the-public) To minimize improvisation, decision-making must be operationalized. But the only effective way to operationalize decision-making is to approach it holistically. That means thinking systematically about how hazards intersect with vulnerabilities to create risk, how those conditions may evolve under different scenarios, and how the system should respond in each case. This includes establishing clear escalation protocols, aligning agencies on when and how to act, and ensuring that alerting systems capable of reaching large populations are used consistently when conditions warrant. Without that broader view, we either leave critical decisions to chance or risk operationalizing the wrong decisions, creating protocols that appear sound but do not hold under real-world conditions. ## The holistic approach in practice Ultimately, improving flood early warning systems is about more than just purchasing the next siren or flood gauge. It is about [designing systems holistically](https://aem.eco/solution/flood-risk-management/?utm_source=blog&utm_medium=website&utm_campaign=texas-flood-blog) to consistently translate situational awareness into timely, coordinated action. A more holistic approach is not an abstract concept. It requires translating system-level thinking into clearly defined workflows that govern how information moves from detection to action under real-world conditions. That work must be done upfront—before events unfold—so that critical decisions are not left to improvisation in the moment. The following recommendations offer a practical view of what that might look like. 1. Integrate workflows for detection, forecasting, and alerting into a coordinated end-to-end system. 2. Ensure workflows account for variations in hazards, vulnerabilities, affected populations, required lead times, available evacuation routes, and available communication channels. 3. Predefine roles and responsibilities across all workflows, ensuring that expected actions are clear for all relevant roles and conditions, including actions expected of the public. 4. Predefine when alerts are to be issued, building in necessary lead times as one factor among others. 5. Predefine which communication channels are to be used under which conditions, factoring in the communication needs of target audiences. 6. Automate workflows wherever feasible to minimize opportunities for errors and delays associated with real-time decision-making. 7. Continuously evaluate system performance after real-world events and refine workflows as needed. ## Moving forward The Texas floods are a reminder that early warning systems are only as effective as their weakest connections. The challenge is no longer simply to detect hazards. It is to ensure that detection leads to action—consistently, reliably, and with enough time for people to respond. That requires more than better tools. It requires systems designed to perform under real-world conditions, where time is limited, information is incomplete, and the cost of delay is measured in lives. Because in the end, a warning only matters if it changes what happens next. If you’re looking to strengthen your approach to early warnings, the next step is to evaluate your current workflows and identify where improvements may be needed. Our team offers expertise in designing and operationalizing early warning systems that perform well under real-world conditions. We would welcome the opportunity to [help you assess the strengths and weaknesses of your current system](https://aem.eco/contact-us/?utm_source=blog&utm_medium=website&utm_campaign=Texas-flood-blog). What the 2025 Texas Floods Teach About Effective Flood Early Warning Systems 12:50 ![James Logan](https://blog.aem.eco/hs-fs/hubfs/James%20Logan-1.jpg?width=150&name=James%20Logan-1.jpg) #### James Logan [Follow me on LinkedIn](https://www.linkedin.com/in/jamesrlogan/) James Logan leads the AEM Water Sector. He has been involved in the assessment, design, development, and implementation of more than 200 automated flood early warning and environmental monitoring systems across the U.S. and abroad. He has also led numerous consulting studies relating to rainfall and hydrologic analysis, flooding, stormwater, dam safety hydrology, and water resource management. James holds degrees in both Computer Science and Geophysical Engineering. 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