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Developing AI-Driven Weather Forecasting Solutions Using Open Data on AWS

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Building AI-powered weather forecasting tools with Open Data on AWS

The increasing frequency of extreme weather events, such as hurricanes and droughts, necessitates advanced weather forecasting for climate resilience. Brightband is transforming the field by leveraging AI and AWS Open Data to enhance accessibility and speed in weather predictions. Winning the 2024 Compute for Climate Fellowship, Brightband focuses on developing a sophisticated, end-to-end AI Earth System for probabilistic forecasting. Their unique approach allows for real-time weather analysis from raw data, outperforming traditional forecasts by delivering results within minutes using minimal computational resources. This innovation democratizes weather forecasting, enabling diverse organizations to create localized forecasts efficiently and sustainably. By utilizing NOAA data on AWS, Brightband enhances its forecast accuracy while significantly reducing operational costs. Their comprehensive QuickStart Jupyter notebook allows developers and researchers to easily access NOAA GFS data, implement weather analysis techniques, and visualize trends. Discover the potential of AI-driven weather forecasting—launch the QuickStart notebook today and explore the future of climate analytics.

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