Open-source weather and climate models

Weather models produce forecasts from meteorological data and help plan work in agriculture, logistics, energy and construction. They usually need specialized input data and significant compute. Check which data is required, which region and horizon the model covers, and what the license allows.

7 open model families in this collection.Updated 22 Sep 2026Open the full catalog with filters
Weather and climate2024–2026

Ai2 ACE2 (климатический эмулятор)

Allen Institute for AI (Ai2) · USA

A fast climate model emulator: simulates the atmosphere years and decades ahead on a single GPU. Coupled with an ocean model (SamudrACE) for long-term scenarios.

  • Decades-long climate scenarios to assess long-term asset risks
  • Large-scale what-if runs on temperature and precipitation
  • Preparing data for crop yield and energy demand models
Sizes
checkpoint of about 1.8 GB
Hardware
from: 1 GPU
Commercial use allowedDetails
Weather and climate2023–2026

Google DeepMind GraphCast / GenCast / WeatherNext 2

Google DeepMind · UK

Google DeepMind's family of global weather models: GraphCast (10-day forecast), GenCast (probabilistic ensemble) and WeatherNext 2 with cyclone forecasting. Since August 2026 the weights are cleared for commercial use.

  • Medium-range weather forecasts for planning shifts, voyages and deliveries
  • Probabilistic assessment of extreme weather for insurance portfolios
  • Tropical cyclone track forecasts for marine and port operations
Sizes
from lightweight 1° versions to full 0.25°
Hardware
from: 1 GPU
Commercial use allowedDetails
Weather and climate2024–2026

Microsoft Aurora

Microsoft Research · USA

A foundation model of Earth's atmosphere: global weather forecasts, plus separate versions for air quality and ocean waves. Computes a forecast in seconds instead of hours on a supercomputer.

  • Your own forecast of temperature, wind and precipitation for company locations
  • Sea state estimates for planning voyages and port operations
  • Air pollution forecasts for industrial sites
Sizes
about 1.3B (a small test version is available)
Hardware
from: 1 GPU
Commercial use allowedDetails
Weather and climate2022–2026

NVIDIA FourCastNet и модели Earth-2

NVIDIA · USA

NVIDIA's set of weather and climate models: global FourCastNet forecasts, downscaling to kilometers (CorrDiff), regional storm forecasts (StormCast), climate generation (cBottle, Atlas). Run via Earth2Studio.

  • Global forecasts followed by downscaling to the region you need
  • Short-term forecasts of thunderstorms and heavy rain for dispatch services
  • Generating many weather scenarios for stress tests
Sizes
98M – 2.5B (FourCastNet 3 — about 711M)
Hardware
from: 1 GPU
Commercial use with conditionsDetails
Weather and climate2024–2026

ECMWF AIFS

European Centre for Medium-Range Weather Forecasts (ECMWF) · Europe (intergovernmental organization)

ECMWF's weather neural network running operationally: a 15-day forecast four times a day, an ensemble version with 51 scenarios, and since version 2, ocean waves.

  • Running your own forecast from open initial data
  • Ensemble forecasts to estimate the probability of frost, downpours and storms
  • Wave forecasts for marine operations
Sizes
checkpoint of about 1 GB
Hardware
from: 1 GPU
Commercial use allowedDetails
Satellite and geo2023–2025

IBM–NASA Prithvi

IBM and NASA · USA

Foundation models for Landsat and Sentinel-2 satellite imagery that account for image time series. Ready-made fine-tunes for floods, burn scars and crop types, plus a separate weather model, WxC.

  • Mapping crops and field condition over the season
  • Assessing flood zones and burn scars after natural disasters
  • Monitoring changes in buildings and land use
Sizes
tiny – 600M (imagery), 2.3B (Prithvi WxC weather)
Hardware
from: Laptop
Commercial use allowedDetails
Weather and climateNot maintained2023

Huawei Pangu-Weather

Huawei Cloud · China

One of the first weather neural networks, published in Nature and added to ECMWF charts. The weights are open for research only; commercial use is prohibited.

  • Research weather forecasts a week ahead
  • Comparison with other weather models on your own data
  • Training courses on weather neural networks
Sizes
4 models of ~1.1 GB each (1, 3, 6 and 24-hour steps)
Hardware
from: Laptop
Non-commercial onlyDetails

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