ArticleNature2025
End-to-end data-driven weather prediction.
Article in Nature, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- Global warming amplifies atmospheric formaldehyde exposure and widens spatial inequality.Eco-Environment & Health · 2026Article
- Operational tropical cyclone forecasting with AI.Nature · 2026Article
- Bridging the weather and climate divide with artificial intelligence.Nature communications · 2026Review
- A chemistry-informed deep learning network for mitigating the stratospheric OH data gap.Science advances · 2026Article
- A scalable and generic framework for city-wide traffic prediction with large language model.Nature communications · 2026Article
- Weather forecasts become more important for reducing mortality as the climate warms.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Evaluation of radar-based precipitation estimates during a flood event using rain gauge validation.Scientific reports · 2026Article
- Assessing the environmental costs of multi-scale recurrent neural networks for sustainable extreme rainfall nowcasting.Scientific reports · 2026Article
- AI for atmosphere-ocean sciences: advancements, challenges and ways forward.National science review · 2026Review
- Seven technologies to watch in 2026.Nature · 2026Article
- Seasonal forecasting using the GenCast probabilistic machine learning model.Climate dynamics · 2026Article
- Article
- A data-to-forecast machine learning system for global weather.Nature communications · 2025Article
- A foundation model for the Earth system.Nature · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Weather prediction is critical for a range of human activities, including transportation, agriculture and industry, as well as for the safety of the general public. Machine learning transforms numerical weather prediction (NWP) by replacing the numerical solver with neural networks, improving the speed and accuracy of the forecasting component of the prediction pipeline
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.