{"schema":"postcutoff/event@1","as_of":"2026-11-13T13:49:00+01:00","url":"https://postcutoff.com/e/2023-11-14-graphcast-weather/","md":"https://postcutoff.com/e/2023-11-14-graphcast-weather/index.md","disclosure":{"written_by":"AI agents (Claude Opus 5.5 in Claude Code)","editor":"human editor","policy":"https://postcutoff.com/about/"},"license":null,"id":"2023-11-14-graphcast-weather","date":"2023-11-14","date_precision":"day","short_title":"GraphCast: ML weather model beats the world's best physics-based 10-day forecast on 90% of targets","deck":null,"takeaway":"GraphCast (Science, Nov 2023), a graph neural network trained on ECMWF reanalysis data, produced 10-day global forecasts in under a minute on one TPU.","category":"science","category_label":"Science & math","importance":4,"confidence":"high","status":{"key":"confirmed","labels":["Result confirmed"]},"sources":[{"n":1,"title":"Learning skillful medium-range global weather forecasting (Science)","url":"https://www.science.org/doi/10.1126/science.adi2336","type":"paper","group":"primary","domain":"science.org"},{"n":2,"title":"DeepMind: GraphCast","url":"https://deepmind.google/blog/graphcast-ai-model-for-faster-and-more-accurate-global-weather-forecasting/","type":"official","group":"primary","domain":"deepmind.google"},{"n":3,"title":"NOAA deploys new generation of AI-driven global weather models","url":"https://www.noaa.gov/news-release/noaa-deploys-new-generation-of-ai-driven-global-weather-models","type":"official","group":"primary","domain":"noaa.gov"}],"official":3,"filed":"2026-09-29","updated":"2026-09-29","orgs":["Google DeepMind"],"title":"GraphCast: ML weather model beats the world's best physics-based 10-day forecast on 90% of targets","summary":"GraphCast (Science, Nov 2023), a graph neural network trained on ECMWF reanalysis data, produced 10-day global forecasts in under a minute on one TPU. It beat ECMWF's HRES, the leading deterministic physics model, on 90.3% of 1,380 verification targets. It later became the basis of NOAA's operational AIGFS.","key_facts":["Beat HRES on 90.3% of 1,380 targets (89.9% statistically significant)","0.25° resolution; a 10-day forecast in under a minute on a single TPU v4","Basis of NOAA's operational AIGFS (Dec 2025), which uses ~99.7% less compute"],"key_numbers":[],"tags":["weather","climate","graph-neural-networks"],"science":{"field":"climate-weather","subfield":"medium-range weather forecasting","problem":"Global medium-range weather prediction","result":"Learned model outperforming the top operational physics-based deterministic forecast on most variables and lead times.","open_since":"","ai_system":["GraphCast"],"human_role":"Human-designed model; forecasts automated","verification":{"key":"peer-review","label":"Peer-reviewed","text":"Peer-reviewed in Science; operational adoption"},"status":"confirmed","shock":"A model trained on 39 years of reanalysis beat decades of numerical weather prediction engineering on most metrics at a fraction of the compute."},"body_md":"## What happened\n\nDeepMind showed that a learned simulator could beat physics-based weather prediction on standard skill scores.\n\n## Why it matters\n\nIt triggered the rapid move of AI weather models into operational forecasting worldwide.","disputed":[],"related":[{"id":"2026-08-06-weathernext-open-source","url":"https://postcutoff.com/e/2026-08-06-weathernext-open-source/","date":"2026-08-06","date_precision":"day","short_title":"DeepMind open-sources WeatherNext 2 and WeatherNext Cyclones with a Nature paper showing ~1 extra day of hurricane warning","deck":null,"takeaway":null,"category":"science","category_label":"Science & math","importance":3,"confidence":"high","status":{"key":"confirmed","labels":["Result confirmed"]},"sources":11,"official":4,"filed":"2026-09-29","updated":"2026-10-26","orgs":["Google DeepMind","Google Research"]},{"id":"2025-02-25-ecmwf-aifs-operational-ai-weather","url":"https://postcutoff.com/e/2025-02-25-ecmwf-aifs-operational-ai-weather/","date":"2025-02-25","date_precision":"day","short_title":"AI weather forecasting goes operational","deck":"ECMWF's AIFS (Feb 2025), then NOAA's AI models (Dec 2025)","takeaway":"It is one of the fastest transitions of AI research into critical public infrastructure.","category":"science","category_label":"Science & math","importance":4,"confidence":"high","status":{"key":"confirmed","labels":["Result confirmed"]},"sources":3,"official":2,"filed":"2026-09-29","updated":"2026-09-29","orgs":["ECMWF","NOAA"]},{"id":"2024-12-04-gencast-ensemble-weather","url":"https://postcutoff.com/e/2024-12-04-gencast-ensemble-weather/","date":"2024-12-04","date_precision":"day","short_title":"GenCast: diffusion-based ensemble forecast beats ECMWF's ENS on 97% of targets","deck":null,"takeaway":"GenCast (Nature, Dec 2024) is a diffusion model producing probabilistic 15-day ensemble forecasts.","category":"science","category_label":"Science & math","importance":3,"confidence":"high","status":{"key":"confirmed","labels":["Result confirmed"]},"sources":2,"official":2,"filed":"2026-09-29","updated":"2026-09-29","orgs":["Google DeepMind"]}],"people":[],"posts":[],"videos":[],"models":[],"changes":[{"date":"2026-09-29","type":"filed","text":"Created"}],"provenance":{"agents":[{"model":"Claude Opus 5.5","maker":"Anthropic","tool":"Claude Code"}],"filed":"2026-09-29","run":null,"sources_read":null,"updated":"2026-09-29","human_review":null,"version":{"date":"2026-10-04"}},"gaps":[{"model_id":"gpt-6-astra","name":"GPT-6 Astra","cutoff":"2026-04","days_after":null,"in_training_data":true},{"model_id":"claude-opus-5-5","name":"Claude Opus 5.5","cutoff":"2026-06","days_after":null,"in_training_data":true},{"model_id":"gemini-4-hydrogen","name":"Gemini 4 Hydrogen","cutoff":"2026-03","days_after":null,"in_training_data":true},{"model_id":"grok-4-7","name":"Grok 4.7","cutoff":"2026-05","days_after":null,"in_training_data":true}],"short_url":"https://postcutoff.com/s/graphcast-ml-weather-beats"}