1 code implementation • 29 Aug 2023 • Stephan Rasp, Stephan Hoyer, Alexander Merose, Ian Langmore, Peter Battaglia, Tyler Russel, Alvaro Sanchez-Gonzalez, Vivian Yang, Rob Carver, Shreya Agrawal, Matthew Chantry, Zied Ben Bouallegue, Peter Dueben, Carla Bromberg, Jared Sisk, Luke Barrington, Aaron Bell, Fei Sha
WeatherBench 2 is an update to the global, medium-range (1-14 day) weather forecasting benchmark proposed by Rasp et al. (2020), designed with the aim to accelerate progress in data-driven weather modeling.
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 • 28 Mar 2023 • Shreya Agrawal, Rob Carver, Cenk Gazen, Eric Maddy, Vladimir Krasnopolsky, Carla Bromberg, Zack Ontiveros, Tyler Russell, Jason Hickey, Sid Boukabara
Post-processing typically takes the outputs of a Numerical Weather Prediction (NWP) model and applies linear statistical techniques to produce improve localized forecasts, by including additional observations, or determining systematic errors at a finer scale.