● Covered by 1 source · 1 reportMedium impact1 positive
New TACLS Software Uses Satellite Data and Machine Learning to Predict Flash Floods
Key points
- TACLS uses satellite data and machine learning.
- It helps predict flash floods sooner.
- Aims to improve National Weather Service alerts.
- Flash floods are the deadliest weather event globally.
Flash Flood Impact
Flash floods are the second-deadliest weather event in the United States and the deadliest globally. Even small amounts of fast-moving water can be dangerous, with 6 inches capable of knocking an adult down and 2 feet able to move large vehicles. A warming climate is increasing instances of extreme rainfall, leading to more frequent flooding.
Current Warning System Limitations
Current flash flood warning systems can sometimes be delayed. For example, during a recent flash flood in Lanesville, Indiana, residents were already impacted before official 'get on your roof' warnings were issued. This highlights the need for more proactive and timely alert mechanisms.
Introducing TACLS
The Transient Artifact and Continuous Learning System (TACLS) is a new software designed to address these limitations. It integrates satellite data with machine learning algorithms to identify areas prone to flooding earlier than traditional methods. This allows meteorologists to make more informed decisions regarding flash flood alerts.
Potential for Earlier Alerts
TACLS has the potential to provide earlier and more accurate warnings for flash floods. Ivory Small, a science and operations officer at the NWS San Diego Weather Forecast Office, states that TACLS can help save lives by enabling timely evacuations and preparations, preventing situations where communities are already flooded before alerts are dispatched.
✨ This summary was generated by AI from the outlets' reporting listed below. It is not independently verified and may contain errors — check the original sources. How BrevFeed works →
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Reporting from
A new software system called the Transient Artifact and Continuous Learning System (TACLS) combines satellite data with machine learning to improve flash flood prediction. This technology aims to provide earlier warnings for meteorologists, potentially saving lives by allowing for more timely alerts from agencies like the National Weather Service.