Evidence map›Paper›PMID 42717078›Full record

ArticleNature2026

Operational tropical cyclone forecasting with AI.

Ferran Alet, Tom R Andersson, Ilan Price, Stratis Markou, Andrew El-Kadi, Dominic Masters, Amy Li, Samier Merchant, Natalie Williams, Gregory Thornton and 22 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

32 authors.

Ferran Alet *Google DeepMind, London, UK. ferran@google.com.ORCID http://orcid.org/0009-0000-3059-0062
Tom R Andersson *Google DeepMind, London, UK. tomandersson@google.com.ORCID http://orcid.org/0000-0002-1556-9932
Ilan Price *Google DeepMind, London, UK. pricei@google.com.ORCID http://orcid.org/0000-0003-4765-2703
Stratis Markou *Google DeepMind, London, UK. stratismarkou@google.com.ORCID http://orcid.org/0009-0008-0434-6523
Andrew El-Kadi *Google DeepMind, London, UK.ORCID http://orcid.org/0009-0009-6510-0831
Dominic Masters *Google DeepMind, London, UK.ORCID http://orcid.org/0009-0000-6945-8325
Amy LiUniversity of Waterloo, Waterloo, Ontario, Canada.
Samier MerchantGoogle Research, Mountain View, CA, USA.
Natalie WilliamsGoogle Research, Mountain View, CA, USA.ORCID http://orcid.org/0009-0008-9281-1316
Gregory ThorntonGoogle DeepMind, London, UK.
Ken MacKayGoogle DeepMind, London, UK.
Olivia GrahamGoogle Research, Mountain View, CA, USA.
Akib UddinGoogle Research, Mountain View, CA, USA.
Ben GaiarinGoogle DeepMind, London, UK.
Devaja ShahGoogle DeepMind, London, UK.
Elinor KruseGoogle DeepMind, London, UK.
Wallace HogsettNOAA/NWS/NCEP National Hurricane Center, Miami, FL, USA.
David ZelinskyNOAA/NWS/NCEP National Hurricane Center, Miami, FL, USA.
John CangialosiNOAA/NWS/NCEP National Hurricane Center, Miami, FL, USA.
Jonathan MartinezNOAA/NWS/NCEP National Hurricane Center, Miami, FL, USA.ORCID http://orcid.org/0000-0002-0510-5982
James FranklinCooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO, USA.
Mark DeMariaCooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO, USA.
Kate MusgraveCooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO, USA.ORCID http://orcid.org/0000-0002-5394-3913
Caroline L BainUK Met Office, Exeter, UK.ORCID http://orcid.org/0000-0002-2993-9308
Helen TitleyUK Met Office, Exeter, UK.ORCID http://orcid.org/0000-0003-1654-9826
Jacklynn StottGoogle DeepMind, London, UK.ORCID http://orcid.org/0009-0004-7859-3384
Remi LamGoogle DeepMind, London, UK.ORCID http://orcid.org/0000-0003-4222-5358
Aaron BellGoogle Research, Mountain View, CA, USA.
Paul KomarekGoogle DeepMind, London, UK.
Matthew WillsonGoogle DeepMind, London, UK.ORCID http://orcid.org/0000-0002-8730-1927
Alvaro Sanchez-GonzalezGoogle DeepMind, London, UK.
Peter BattagliaGoogle DeepMind, London, UK.ORCID http://orcid.org/0000-0003-3622-7111

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tropical cyclones are among the most dangerous and costly weather phenomena, but forecasting them remains challenging. Here we introduce WeatherNext Cyclones (WN-C), an artificial intelligence (AI)-based operational weather model that produces state-of-the-art ensemble forecasts of the track, intensity and size of tropical cyclones worldwide. Trained on a combination of global analysis data

Identifiers

PMID42717078
PMCPMC13581599

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.