ArticleNature2025
Probabilistic weather forecasting with machine learning.
Article in Nature, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 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
64 citing papers in PubMed.
- Improved Skills for Predicting Sub-Seasonal to Seasonal Global Sea Surface Temperature.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Predicting regional gray swans via translocation: AI weather models and Dubai's unprecedented 2024 rainfall.Science advances · 2026Article
- Research opportunities to advance cardiovascular health through a planetary health lens.American journal of preventive cardiology · 2026Review
- Article
- PatternFormer: Learning Multiple Solution Patterns in Reaction-Diffusion Systems.Research square · 2026Article
- TF-STNet: A Time-Frequency Dual-Branch Spatiotemporal Network for NWP-to-Station Bias Correction.Entropy (Basel, Switzerland) · 2026Article
- Generative diffusion models for spatiotemporal influenza forecasting.PLoS computational biology · 2026Article
- Operational tropical cyclone forecasting with AI.Nature · 2026Article
- Resolving root causes of experiment discrepancies guided by machine learning.Nature communications · 2026Article
- Bridging the weather and climate divide with artificial intelligence.Nature communications · 2026Review
- Generative AI for efficient statistical computation of fluids.Nature communications · 2026Article
- Tailored forecasting from short time series via meta-learning.Science advances · 2026Article
- A deep learning model for predicting daily PMScience advances · 2026Article
- A Tutorial on Best Practices and Pitfalls in Applying Machine Learning to Environmental Research.ACS environmental Au · 2026Article
- Explainable machine learning for climate change attribution and hotspot identification: spatial cross-validation analysis in South Asian Region.Scientific reports · 2026Article
- Data-driven global ocean model resolving atmospherically forced ocean dynamics.Science advances · 2026Article
- Hierarchical semantic extraction and heterogeneous graph neural networks for event-driven time series forecasting.Scientific reports · 2026Article
- Physics-based models outperform AI weather forecasts of record-breaking extremes.Science advances · 2026Article
- Diffusion model-based parameter estimation in dynamic power systems.Communications engineering · 2026Article
- Machine learning multiscale collective cell dynamics: From single-cell characterization to multicellular monolayer modeling.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
4 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Weather forecasts are fundamentally uncertain, so predicting the range of probable weather scenarios is crucial for important decisions, from warning the public about hazardous weather to planning renewable energy use. Traditionally, weather forecasts have been based on numerical weather prediction (NWP)
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.