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GenCast: probabilistic weather forecasting

Uses machine learning to generate ensemble weather forecasts and evaluates probabilistic prediction.

What is recorded here?

Uses machine learning to generate ensemble weather forecasts and evaluates probabilistic prediction.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

Conclusions are limited to the paper’s periods, variables, regions and benchmarks. WRS has not rerun the evaluation.

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People and systems

Ilan Price; Alvaro Sanchez-Gonzalez; Ferran Alet; Tom R. Andersson; Andrew El-Kadi; Dominic Masters; Timo Ewalds; Jacklynn Stott; Shakir Mohamed; Peter Battaglia; Remi Lam; Matthew Willson

Listed source contributors; individual labor shares are not measured

GenCast · Google DeepMind · GenCast
Research system / execution. Source-reported attribution; provider attestation is unavailable.

Research locations and affiliations

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Documented countries / regions: United Kingdom

Google DeepMind, London, UK

English catalogue narrative

GenCast: probabilistic weather forecasting

Uses machine learning to generate ensemble weather forecasts and evaluates probabilistic prediction.

Scientific scope

Conclusions are limited to the paper’s periods, variables, regions and benchmarks. WRS has not rerun the evaluation.

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

Ilan Price; Alvaro Sanchez-Gonzalez; Ferran Alet; Tom R. Andersson; Andrew El-Kadi; Dominic Masters; Timo Ewalds; Jacklynn Stott; Shakir Mohamed; Peter Battaglia; Remi Lam; Matthew Willson

Listed source contributors; individual labor shares are not measured

GenCast / Google DeepMind / GenCast: Research system / execution (source reported).

Original sources