Optimizing the initial conditions of a machine-learning weather model against reanalysis data cuts 10-day forecast error by 86% and extends the apparent forecast-skill horizon beyond 30 days, though the optimization requires knowledge of the future it is trying to predict.
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Atmospheric Predictability Beyond 30 Days with Machine Learning
Optimizing the initial conditions of a machine-learning weather model against reanalysis data cuts 10-day forecast error by 86% and extends the apparent forecast-skill horizon beyond 30 days, though the optimization requires knowledge of the future it is trying to predict.