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From sparse datapoints to rich maps
Most weather sensors only tell you what's happening at a single point, leaving vast gaps in between where real-world conditions remain unknown. Our deep learning model aims to change that by predicting ground-level weather across entire areas, even where no sensors exist. The results are already outperforming traditional high-resolution forecasts.