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Timely and accurate weather forecasting is essential to quality of life and survival, and it’s only becoming more critical as the World Meteorological Organization shows weather events are increasing in intensity and frequency.
Moreover, research shows that increasing accuracy of weather forecasts can result in thousands of lives saved per year. One key way to improve the quality of forecasting: tapping into cutting-edge AI-powered technologies, as demonstrated by Brightband and its mission to build “an end-to-end AI Earth System for probabilistic forecasting.”
The startup recently won the 2024 Compute for Climate Fellowship to further its goal of improving “weather and climate-related decisions for the long-term benefit of humanity and the Earth.” Brightband leverages Open Data on AWS to power its AI tools and generate its own weather analyses from raw observations. It then uses them alongside analyses from the National Oceanic and Atmospheric Administration (NOAA) and the European Centre for Medium-Range Weather Forecasts (ECMWF) to provide comprehensive forecasts every six hours.
As the company’s forecasts show promise in not only being comparable to top NOAA and ECMWF models but often exceeding them, Brightband is an example of what can be accomplished with help from the Registry of Open Data on AWS. By making key data from high-value sources, like NOAA’s Global Forecast System, quickly and easily accessible, Open Data on AWS helps level the innovation playing field, enabling organizations of all sizes to power revolutionary AI and machine learning models.
Brightband also developed its data processing pipelines on AWS and uses Amazon Simple Storage Service (Amazon S3) to reduce time and costs associated with data transfer. The reliability and scalability of AWS services further streamlines the organization's forecasts. Overall, using AWS infrastructure and data services, Brightband is demonstrating the potentially far-reaching benefits of democratizing critical technologies and making them available without the significant overhead of extensive energy and computing requirements.
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This content is made possible by our sponsor AWS; it is not written by and does not necessarily reflect the views of GovExec’s editorial staff.
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