Probabilistic bias correction doubles AI subseasonal forecast skill and wins a 2025 international competition by correcting biases in ECMWF models for pressure, temperature, and precipitation.
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Instability-guided perturbations in the Aurora AI model can induce downstream shifts in an atmospheric river's moisture transport, potentially lowering landfall intensity in a California case study.
citing papers explorer
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Enhancing AI and Dynamical Subseasonal Forecasts with Probabilistic Bias Correction
Probabilistic bias correction doubles AI subseasonal forecast skill and wins a 2025 international competition by correcting biases in ECMWF models for pressure, temperature, and precipitation.
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Instability-Aware Steering of an Extreme Atmospheric River in an AI Weather Foundation Model
Instability-guided perturbations in the Aurora AI model can induce downstream shifts in an atmospheric river's moisture transport, potentially lowering landfall intensity in a California case study.