Project AURIONAI Use-Cases Research & Innovation
UCLA
weather

Stormer (ENS)

Ensemble weather model on WeatherBench 2 (2020).

UCLAUCLAUSA
Figure from the Stormer paper: example 5-day forecast of near-surface wind speed and mean sea level pressure.
Levelmodel
Classweather
Parametersnot in the notes
Contextnot in the notes
Released6 Dec 2023
Opennessunknown
Runs onnot in the notes
Statusactive

Benchmark Results

maintainer-run
WeatherBench 2 2domain
Z500 day 10, deterministic, Stormer ENS (mean) vs ERA5maintainer-run
665.9
0450900

Score in RMSE m2/s2. Lower is better.

year 2020, 240x121 grid10 Oct 2026 researchsites.withgoogle.com
Z500 day 5, deterministic, Stormer ENS (mean) vs ERA5maintainer-run
285.9
0450900

Score in RMSE m2/s2. Lower is better.

year 2020, 240x121 grid10 Oct 2026 researchsites.withgoogle.com
Z500 day 3, deterministic, Stormer ENS (mean) vs ERA5maintainer-run
134.4
0450900

Score in RMSE m2/s2. Lower is better.

year 2020, 240x121 grid10 Oct 2026 researchsites.withgoogle.com
Z500 day 1, deterministic, Stormer ENS (mean) vs ERA5maintainer-run
45.2
0450900

Score in RMSE m2/s2. Lower is better.

year 2020, 240x121 grid10 Oct 2026 researchsites.withgoogle.com
Where this comes from
Every score names who ran it: vendor-reported, maintainer-run or independent. A rank is shown with the population it was ranked in (gap rule 3).

R&D Topics

Probabilistic ensemble weather forecasting with machine learningproduced by

Identity

Developer
UCLA
Family
not in the notes
Released
6 Dec 2023 sourcesannouncement page
Weights published
–
Record checked
10 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
other
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
Context length
not in the notes
Input
sensor
Output
sensor
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
unknown
Licence
not in the notes sources
Access routes
not in the notes
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
not in the notes
Footprint
not in the notes
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Lineage

The notes record no lineage for this model.

Industry Use Cases

No industry use case links this model.

Sources

  1. Dash researchsites.withgoogle.com https://researchsites.withgoogle.com/weatherbench/deterministic/
  2. arxiv.org/html/2312.03876 https://arxiv.org/html/2312.03876
  3. arxiv.org/abs/2312.03876 https://arxiv.org/abs/2312.03876

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Stormer (ENS)", https://aurion.semai.id/models/stormer/, records of October 2026.