Finally? Super-Accurate Weather Forecasts with AI
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This research paper examines a new deep-learning approach to optimizing weather forecasts by adjusting initial conditions. The authors test their method on the 2021 Pacific Northwest heatwave, finding that small changes to initial conditions can significantly improve the accuracy of 10-day forecasts using both the GraphCast and Pangu-Weather deep-learning models. Notably, the improvements seem to stem primarily from correcting analysis errors, rather than model errors. The study suggests that this method could potentially increase the accuracy of weather forecasts beyond the current 10-day limit, potentially extending the limit to 23 days.
Read more here: https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2024GL110651
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