no code implementations • 24 Jun 2023 • Lizao Li, Rob Carver, Ignacio Lopez-Gomez, Fei Sha, John Anderson
The dominant approach to representing uncertainty in weather forecasting is to generate an ensemble of forecasts.
no code implementations • 23 May 2022 • Ignacio Lopez-Gomez, Amy McGovern, Shreya Agrawal, Jason Hickey
We find that training models to minimize custom losses tailored to emphasize extremes leads to significant skill improvements in the heat wave prediction task, compared to NWMs trained on the mean squared error loss.