How does data help in predicting natural disasters?
Data plays a crucial role in disaster prediction by providing insights from historical patterns, weather models, and real-time monitoring.
What types of data are most important for disaster prediction?
Key data types include meteorological data, geological data, satellite imagery, and social media feeds for real-time updates.
Can you give an example of data being used in a recent disaster prediction?
Sure! During Hurricane Dorian, meteorologists used satellite data and predictive models to forecast its path and intensity.
How accurate are these predictions based on data?
While data-driven predictions have improved significantly, accuracy can vary based on the type of disaster and available data.
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