Shang Ping Xie

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
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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 …

william-e.-chapman
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Ocean; Volcanoes; ENSO; Atmosphere-Ocean Interaction; Ensembles; Global Biogeochemical Cycles

El Nino-Like Physical and Biogeochemical Ocean Response to Tropical Eruptions

The oceanic response to recent tropical eruptions is examined in Large Ensemble (LE) experiments from two fully coupled global climate models, the Community Earth System Model …

yassir-a.-eddebbar
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