WeatherBench 2: A Benchmark for the Next Generation of Data‐Driven Global Weather Models
Google (United States) · Google DeepMind (United Kingdom) · +2 more institutions
Abstract
Abstract WeatherBench 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…
Citation impact
- FWCI
- 55.46
- Percentile
- 100%
- References
- 57
Authors
18Topics & keywords
- Benchmark (surveying)
- Computer science
- Headline
- Baseline (sea)
- Set (abstract data type)
- Weather forecasting
- Data set
- Range (aeronautics)
- Climate action