What is recorded here?
Generated medium-range global forecasts with a graph neural network trained on reanalysis data and evaluated against operational forecasts.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Skill is measured on the paper’s variables, periods and initialization. It is not a guarantee for every extreme event or a climate projection.
Read the original work
- Learning skillful medium-range global weather forecasting
- Learning skillful medium-range global weather forecasting — deposited bibliography
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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People and systems
Remi Lam; Alvaro Sanchez-Gonzalez; Matthew Willson; Peter Wirnsberger; Meire Fortunato; Ferran Alet; Suman Ravuri; Timo Ewalds; Zach Eaton-Rosen; Weihua Hu; Alexander Merose; Stephan Hoyer; George Holland; Oriol Vinyals; Jacklynn Stott; Alexander Pritzel; Shakir Mohamed; Peter Battaglia
Full deposited paper byline or identified author of the scoped historical source. Association does not measure individual effort.
GraphCast · Google DeepMind · GraphCast graph neural network
Forecast generation; human-built training, evaluation and meteorological interpretation. Source-reported attribution; provider attestation is unavailable.
Research locations and affiliations
Documented mapping · Included in country comparison
Documented countries / regions: United Kingdom, United States
Google DeepMind, London, UK.; Google Research, Mountain View, CA, USA.
English catalogue narrative
GraphCast: fast global weather forecasts
Generated medium-range global forecasts with a graph neural network trained on reanalysis data and evaluated against operational forecasts.
Scientific scope
Skill is measured on the paper’s variables, periods and initialization. It is not a guarantee for every extreme event or a climate projection.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Remi Lam; Alvaro Sanchez-Gonzalez; Matthew Willson; Peter Wirnsberger; Meire Fortunato; Ferran Alet; Suman Ravuri; Timo Ewalds; Zach Eaton-Rosen; Weihua Hu; Alexander Merose; Stephan Hoyer; George Holland; Oriol Vinyals; Jacklynn Stott; Alexander Pritzel; Shakir Mohamed; Peter Battaglia
Full deposited paper byline or identified author of the scoped historical source. Association does not measure individual effort.
GraphCast / Google DeepMind / GraphCast graph neural network: Forecast generation; human-built training, evaluation and meteorological interpretation (source reported).