While advancements in weather forecasting, driven by artificial intelligence (AI), have made it possible to predict weather patterns with greater accuracy, the old adage “forewarned is forearmed” doesn’t always apply. Despite improved forecasts, there remain significant gaps in how this critical information can be effectively utilized to mitigate risks. In particular, understanding how to turn weather predictions into actionable steps for flood preparedness and securing the necessary investments to act on those insights continues to pose challenges.

 

In a recent article from Reuters, 7Analytics CCO Jonas Aas Torland shed light on a crucial issue: the ability to transform high-precision weather forecasts into accurate, actionable flood predictions. He pointed out that, while AI can forecast weather conditions with increasing accuracy, translating that data into flood-risk predictions is an entirely different task. Without the right tools and strategies, the value of these forecasts is limited.

 

Torland emphasized that greater preparedness and investment in advanced flood prediction technologies are crucial to mitigating the long-term impacts of flooding. By leveraging AI-driven solutions, cities and communities can proactively assess flood risks and implement strategies that enhance resilience. This approach enables more effective planning for infrastructure improvements, ensuring not only flood-resistant designs but also safer environments for residents and businesses in the face of growing climate challenges.

 

Read the full article here.