AI Enhances Flood Warnings but Faces Challenges in Disaster Prevention

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AI has improved weather forecasting, particularly for extreme events like floods, but accurate predictions don't always translate to effective disaster prevention. The technology's potential is limited by data quality, communication issues, and the increasing frequency of extreme weather due to climate change.

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AI Revolutionizes Weather Forecasting

Artificial Intelligence (AI) has significantly enhanced weather forecasting capabilities, particularly in predicting extreme weather events such as floods. The technology utilizes statistical tools to analyze historical data and predict patterns, often at a lower cost than traditional numerical weather predictions

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. AI-powered systems can create more specific predictions for complex scenarios like urban flooding or in mountainous terrains

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One notable example is GraphCast, a Google-funded machine learning-based method that outperforms traditional models. It uses reanalysis data, which combines past forecasts with modern forecasting models to provide a comprehensive picture of past weather and climate

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Limitations and Challenges

Despite these advancements, AI-powered weather forecasting faces several challenges:

  1. Data Quality: The effectiveness of AI models depends heavily on the quality and quantity of input data. Extreme events occurring at unusual times or in different regions can be challenging to predict

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  2. Communication: Even with accurate forecasts, effectively communicating the severity and potential impact of extreme weather events remains crucial

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  3. Computational Power: AI models require significant computing power, especially for detailed predictions. This high energy demand contributes to the very climate crisis they aim to address

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European Implementation and Challenges

The European Centre for Medium-Range Weather Forecasts (ECMWF) has been using the Artificial Intelligence/Integrated Forecasting System (AIFS) since January 2024. This system provides rapid, multiple predictions and long-term forecasts for various weather events

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However, some tech entrepreneurs argue that Europe lags behind in readiness for AI-powered disaster prevention. Jonas Torland, co-founder of 7Analytics, notes that European authorities often lack the risk management expertise found in the United States and are hesitant to invest in advanced AI solutions

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Climate Change and Increasing Extreme Weather

The increasing frequency of extreme weather events due to climate change poses additional challenges. The European Environment Agency warns that Europe faces urgent climate risks outpacing current policies and adaptation actions

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European Commissioner for Crisis Management, Janez Lenarčič, emphasized that these once-in-a-lifetime events are now occurring almost annually, highlighting the urgent need for improved disaster preparedness and response strategies

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