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WeatherBench 2: A Benchmark for the Next Generation of Data‐Driven Global Weather Models

149
Citations
June 1, 2024
Published Date

Research Abstract & Technology Focus

AbstractWeatherBench 2 is an update to the global, medium‐range (1–14 days) weather forecasting benchmark proposed by (Rasp et al., 2020, https://doi.org/10.1029/2020ms002203), designed with the aim to accelerate progress in data‐driven weather modeling. WeatherBench 2 consists of an open‐source evaluation framework, publicly available training, ground truth and baseline data as well as a continuously updated website with the latest metrics and state‐of‐the‐art models: https://sites.research.google/weatherbench. This paper describes the design principles of the evaluation framework and presents results for current state‐of‐the‐art physical and data‐driven weather models. The metrics are based on established practices for evaluating weather forecasts at leading operational weather centers. We define a set of headline scores to provide an overview of model performance. In addition, we also discuss caveats in the current evaluation setup and challenges for the future of data‐driven weather forecasting.
weatherbench benchmark generation driven global weather
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This literature focuses on: AbstractWeatherBench 2 is an update to the global, medium‐range (1–14 days) weather forecasting benchmark proposed by (Rasp et al., 2020, https://doi.org/10.1029/2020ms002203), designed with the aim to accelerate progress in data‐driven weather mo...

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Yes, highly correlated activity was mapped. An entry titled 'Neural general circulation models for weather and climate' discusses this: AbstractGeneral circulation models (GCMs) are the foundation of weather and climate prediction1,2. GCMs are physics-based simulators that combine a...

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