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20202024
most citedImproving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere

300 citations · 486 across the 3 of their papers we have counts for

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physics.ao-ph2024★ 24 cited

A Practical Probabilistic Benchmark for AI Weather Models

Noah D. Brenowitz, Yair Cohen, Jaideep Pathak +6

Since the weather is chaotic, forecasts aim to predict the distribution of future states rather than make a single prediction. Recently, multiple data driven weather models have em…