Data analytics makes weather forecasting faster, more accurate, and helpful for saving lives.
• Collecting Weather Data: Data analytics starts with collecting weather data from satellites, weather stations, and sensors.
• Organizing Data: The data, such as temperature, wind speed, and humidity, is organized in databases.
• Analyzing Patterns: Data analytics tools check for patterns and trends in past weather events.
• Creating Models: Scientists use these patterns to build models that predict future weather conditions.
• Real-Time Updates: Data analytics processes live weather updates to improve forecasts quickly.
• Machine Learning: Machine learning helps weather models get better with time by learning from new data.
• Predicting Extreme Weather: Data analytics can warn about storms, floods, or heatwaves early.
• User-Friendly Reports: Forecasts are turned into easy-to-read maps and updates for the public.
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