The article discusses the development of a new AI model designed to improve the accuracy of long-range weather forecasting. Traditional models often struggle with predictions beyond ten days, but this new approach uses machine learning to analyze vast datasets of historical weather patterns and atmospheric conditions. Early testing indicates the model can extend reliable forecasts to up to four weeks for certain large-scale weather phenomena, potentially aiding in agricultural planning and disaster preparedness. The researchers emphasize that the tool is intended to complement, not replace, existing physics-based models, and further validation is required. Read the full article at https://example.com/full-article.