Weather predictions have advanced over the years thanks to advances in technology. Over the last year or two, artificial intelligence has been a standout contributor to the improvement in accuracy and efficiency of weather forecasting.
CEO Today Magazine highlighted 9 ways that AI has innovated weather forecasting.
1. Previously, weather data gathering relied on manual methods and human involvement. With the help of AI, data collection has become automated, enabling the analysis of data from sources such as satellites and drones in real time.
2. Meteorological models have significantly improved with the integration of AI in their predictive analysis technology. These advancements have given communities more opportunity to prepare for and lessen potential harm.
3. Machine learning has allowed weather prediction models to become more dynamic and continuously evolve with new data inputs instead of relying on fixed models like before. The ongoing refinement leads to increasingly precise predictions over time.
4. AI-driven rapid response systems have transformed the way emergency situations are handled during extreme weather events by utilizing real-time data to forecast intensity and storm paths more accurately.
5. AI has provided perspectives on climate change by allowing researchers to examine its effects on weather patterns and systems thoroughly, and by pinpointing patterns and unusual occurrences linked to climate change. These observations have been used by governments to help policymakers.
6. Real-time weather updates are now more easily accessible to the general public thanks to AI and user-friendly apps.
7. Farmers have used AI models to maximize crop output by using accurate forecasts to plan their planting and harvesting schedules and reducing the chance of crop loss.
8. The energy sector has used AI to improve weather forecasting and wind and solar energy generation efficiency planning to cut costs and run more effectively.
9. AI has significantly improved safety in the aviation industry by providing precise and timely weather forecasts tailored to flight operations such as turbulence, storm tracking, and wind shear analysis. These advancements were able to help airlines optimize flight paths, reduce delays, and ensure passenger safety.
AI has undeniably changed the game for meteorology, and we have only scratched the surface on its capabilities.
