William E. Chapman

Increase in MJO predictability under global warming

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Atmospheric River; Error Analysis; Numerical Analysis/Modeling; Uncertainty; Probability Forecasts/Models/Distribution; Short-Range Prediction; Numerical Weather Prediction/Forecasting; Artificial Intelligence; Deep Learning; Machine Learning; Neural Networks; Regression; Other Artificial Intelligence/Machine Learning

Probabilistic Predictions from Deterministic Atmospheric River Forecasts with Deep Learning

Deep-learning (DL) postprocessing methods are examined to obtain reliable and accurate probabilistic forecasts from single-member numerical weather predictions of integrated …

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Pacific-North American Pattern/Oscillation; Planetary Waves; Rossby Waves; Climate Prediction; Probability Forecasts/Models/Distribution; Statistical Forecasting

Monthly Modulations of ENSO Teleconnections: Implications for Potential Predictability in North America

Using a high-resolution atmospheric general circulation model simulation of unprecedented ensemble size, we examine potential predictability of monthly anomalies under El …

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