By Web Desk 
Google’s advanced AI model for weather forecasting is gaining attention for its ability to deliver highly accurate 15-day forecasts. Named GraphCast, this model leverages deep learning and vast historical weather data to identify complex patterns, surpassing traditional forecasting methods in speed and precision. Unlike conventional models relying on supercomputers, GraphCast operates efficiently using a single machine, drastically reducing costs and time.
This innovation is particularly relevant for countries like Pakistan, where extreme weather events such as heatwaves, floods, and cyclones pose severe challenges. GraphCast’s ability to provide early warnings for such phenomena can significantly aid in disaster preparedness and mitigation. For instance, during monsoon season, accurate predictions can enable better resource allocation to prevent loss of life and property.
Moreover, the system’s open-source nature allows Pakistani researchers and meteorological departments to adopt and customize it for local needs, improving the overall accuracy of regional forecasts. This advancement is timely as climate change continues to make weather patterns more unpredictable across South Asia.
With real-time testing underway, GraphCast has already demonstrated its capabilities by outperforming other global forecasting models in predicting critical weather variables, making it a valuable tool for governments and industries dependent on precise weather insights.