Why It Matters
Improved subseasonal forecasts can provide critical lead time for industries like agriculture, energy, and disaster management to prepare for significant weather shifts, enhancing resilience and economic stability.
Key Intelligence
- ■Researchers are leveraging Artificial Intelligence to improve subseasonal weather forecasts, a notoriously challenging prediction window.
- ■Subseasonal forecasts cover the period of 2 weeks to 2 months out, bridging the gap between short-term weather and long-term climate predictions.
- ■Traditional numerical weather prediction models struggle with accuracy in this mid-range period due to complex atmospheric dynamics.
- ■AI models are showing promise in identifying patterns and improving skill for predicting extreme events and general weather trends within this timeframe.