A new machine learning system, known as the Transient Artifact and Continuous Learning System (TACLS), is set to enhance flash flood warnings by utilizing satellite data. Developed through a collaboration between scientists from the National Weather Service (NWS), NASA, and the University of California, San Diego, TACLS aims to provide earlier alerts for potential flooding events, which are becoming increasingly common due to climate change.
Understanding the Need for Improved Flood Warnings
Flash floods are among the deadliest weather events in the United States, with just six inches of fast-flowing water capable of knocking an adult off their feet. The urgency for timely alerts was highlighted by a recent incident in Lanesville, Indiana, where over eight inches of rain fell in just a few hours, leading to rapid flooding. Laura Lin, a resident, recounted her experience of receiving flood warnings only after her family had already sought shelter at a neighbor’s house. “We didn’t get the ‘get on your roof’ warnings until I was already at that person’s house,” Lin said, emphasizing the need for more timely alerts.
How TACLS Works
TACLS leverages satellite data and machine learning to identify areas at risk of transitioning from rain to flash floods. Currently operational in California, the system is designed to assist NWS offices in making more informed decisions regarding flood alerts. “It will help you save lives,” stated Ivory Small, a science and operations officer at the NWS San Diego Weather Forecast Office. The system utilizes data from the Global Navigation Satellite System (GNSS), which is primarily used for earthquake predictions but also provides valuable information about atmospheric moisture levels.
Prior to TACLS, NWS forecasters relied heavily on rain and stream gauges, satellite imagery, and their expertise to issue flood alerts. However, the existing technology had limitations, particularly in less populated areas where rain gauges are sparse. TACLS aims to fill these gaps by providing real-time data on atmospheric conditions, allowing forecasters to better assess whether a storm is developing as predicted.
Future Implications and Expansion
The initial deployment of TACLS has shown promise, with plans for a newer version featuring improved graphics and detailed mapping capabilities set to roll out to all NWS offices later this year. Jayme Laber, a senior service hydrologist for the NWS, noted that having more tools like TACLS will enhance decision-making processes and potentially speed up alert times, ensuring communities receive critical information sooner.
As climate change continues to increase the frequency of extreme weather events, the development and implementation of advanced technologies like TACLS will be crucial in mitigating the risks associated with flash floods. “It’s imperative that you do the research after, especially big events,” Small emphasized, highlighting the ongoing need for innovation in weather forecasting.
For more information on TACLS and its impact on flash flood warnings, visit The Verge.
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