William E. Chapman

Generating a 1000-Member Ensemble of Integrated Water Vapor Transport Forecasts with Diffusion

timothy-b.-higgins

• Jul 1, 2026 • 1 min read

Danni Du

• Dec 1, 2023 • 1 min read

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 …

william-e.-chapman

• Jan 1, 2022 • 1 min read

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 …

william-e.-chapman

• Jan 1, 2021 • 1 min read

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William E. Chapman

Generating a 1000-Member Ensemble of Integrated Water Vapor Transport Forecasts with Diffusion

Increase in MJO predictability under global warming

Probabilistic Predictions from Deterministic Atmospheric River Forecasts with Deep Learning

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