WeatherBench 2: A benchmark for the next generation of data-driven global weather models Article Swipe
Stephan Rasp
,
Stephan Hoyer
,
Alexander Merose
,
Ian Langmore
,
Peter Battaglia
,
Tyler Russel
,
Álvaro Sánchez‐González
,
Vivian Yang
,
Robert W. Carver
,
Shreya Agrawal
,
Matthew Chantry
,
Zied Ben Bouallègue
,
Peter Dueben
,
Carla Bromberg
,
Jared Sisk
,
Luke Barrington
,
Aaron J. Bell
,
Fei Sha
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2308.15560
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2308.15560
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. 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.
Related Topics
Concepts
Benchmark (surveying)
Headline
Computer science
Baseline (sea)
Set (abstract data type)
Weather forecasting
Data set
Range (aeronautics)
Data science
Meteorology
Artificial intelligence
Engineering
Geography
Aerospace engineering
Programming language
Philosophy
Geology
Oceanography
Linguistics
Geodesy
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2308.15560
- https://arxiv.org/pdf/2308.15560
- OA Status
- green
- Cited By
- 26
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4386346187
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4386346187Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2308.15560Digital Object Identifier
- Title
-
WeatherBench 2: A benchmark for the next generation of data-driven global weather modelsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-08-29Full publication date if available
- Authors
-
Stephan Rasp, Stephan Hoyer, Alexander Merose, Ian Langmore, Peter Battaglia, Tyler Russel, Álvaro Sánchez‐González, Vivian Yang, Robert W. Carver, Shreya Agrawal, Matthew Chantry, Zied Ben Bouallègue, Peter Dueben, Carla Bromberg, Jared Sisk, Luke Barrington, Aaron J. Bell, Fei ShaList of authors in order
- Landing page
-
https://arxiv.org/abs/2308.15560Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2308.15560Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2308.15560Direct OA link when available
- Concepts
-
Benchmark (surveying), Headline, Computer science, Baseline (sea), Set (abstract data type), Weather forecasting, Data set, Range (aeronautics), Data science, Meteorology, Artificial intelligence, Engineering, Geography, Aerospace engineering, Programming language, Philosophy, Geology, Oceanography, Linguistics, GeodesyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
26Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 15, 2024: 11Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| publication_date | 2023-08-29 |
| publication_year | 2023 |
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