# Earth-2

Published articles for Earth-2.

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

## Pioneers Across Europe Deploy NVIDIA Earth-2 Open Models to Power Real-World Weather and Climate Prediction

DevFeed: [Pioneers Across Europe Deploy NVIDIA Earth-2 Open Models to Power Real-World Weather and Climate Prediction](<https://devfeed.tech/articles/pioneers-across-europe-deploy-nvidia-earth-2-open-models-to-power-real-world-weather-and-climate-prediction-95044.md>)

Original publisher: [Read original article](<https://blogs.nvidia.com/blog/europe-earth-2-open-models-weather-climate-prediction/>)

Author: Mike Pritchard

Published: 2026-10-22T05:00:19Z

Content type: release

Language: en

Sources: [NVIDIA](<https://devfeed.tech/sources/nvidia-blog.md>)

Topics: [Climate / Weather / Ocean Modeling](<https://devfeed.tech/topics/climate-weather-ocean-modeling.md>), [Open Source Models & Datasets](<https://devfeed.tech/topics/open-source-models-datasets.md>), [AI Models](<https://devfeed.tech/topics/ai-models.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [geospatial](<https://devfeed.tech/topics/geospatial.md>), [DGX Spark](<https://devfeed.tech/topics/dgx-spark.md>)

Tags: [about](<https://devfeed.tech/tags/about.md>), [ai](<https://devfeed.tech/tags/ai.md>), [but](<https://devfeed.tech/tags/but.md>), [can](<https://devfeed.tech/tags/can.md>), [climate](<https://devfeed.tech/tags/climate.md>), [daily](<https://devfeed.tech/tags/daily.md>), [deploy](<https://devfeed.tech/tags/deploy.md>), [developers](<https://devfeed.tech/tags/developers.md>), [earth-2](<https://devfeed.tech/tags/earth-2.md>), [energy](<https://devfeed.tech/tags/energy.md>), [europe](<https://devfeed.tech/tags/europe.md>), [forecast](<https://devfeed.tech/tags/forecast.md>), [gives](<https://devfeed.tech/tags/gives.md>), [global](<https://devfeed.tech/tags/global.md>), [gtc-2026](<https://devfeed.tech/tags/gtc-2026.md>), [models](<https://devfeed.tech/tags/models.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [nvidia-earth-2](<https://devfeed.tech/tags/nvidia-earth-2.md>), [open](<https://devfeed.tech/tags/open.md>), [power](<https://devfeed.tech/tags/power.md>), [real-world](<https://devfeed.tech/tags/real-world.md>), [weather](<https://devfeed.tech/tags/weather.md>)

### AI overview

NVIDIA Earth-2 combines open models and tools that organizations can adapt with local observations and expertise for regional weather and environmental work. StormScope EU uses EUMETSAT observations across 16 Meteosat channels to predict cloud conditions over Europe at 10-minute intervals; a GTC Berlin demo runs forecasts with Earth2Studio and serves updated map tiles through Earthmover. Workflows can pair StormScope with CorrDiff for local detail, while PhysicsNeMo supports training and customization. The excerpt describes distinct applications: AXA uses FourCastNet 3 to study cyclone risk across more than 1,000 simulated seasons; Vaisala Xweather is adapting StormScope with lightning data; Manchester researchers adapted CorrDiff for U.K. air-quality modeling; TotalEnergies is evaluating solar-radiation nowcasts at two photovoltaic sites; and Space42 developed a CorrDiff- and PhysicsNeMo-based method that estimates surface heights from radar imagery and includes uncertainty maps.

### Source excerpt

Weather forecasts shape more than daily plans; timely weather information is crucial for energy producers, insurers and transport operators to plan around changing conditions. A global forecast can show a storm taking shape, but decisions about solar farms, shipping routes or insured property depend on what happens locally. NVIDIA Earth-2 gives developers and researchers a [...]

## Turn Your Latest Observations Into Timely Weather Decisions With NVIDIA Earth-2

DevFeed: [Turn Your Latest Observations Into Timely Weather Decisions With NVIDIA Earth-2](<https://devfeed.tech/articles/turn-your-latest-observations-into-timely-weather-decisions-with-nvidia-earth-2-57602.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/turn-your-latest-observations-into-timely-weather-decisions-with-nvidia-earth-2/>)

Author: Elizabeth Goodman

Published: 2026-09-21T15:00:00Z

Content type: tutorial

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [GPU](<https://devfeed.tech/topics/gpu.md>), [RTX PRO](<https://devfeed.tech/topics/rtx-pro.md>), [Python](<https://devfeed.tech/topics/python.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [climate-weather-ocean-modeling](<https://devfeed.tech/tags/climate-weather-ocean-modeling.md>), [data](<https://devfeed.tech/tags/data.md>), [data-science](<https://devfeed.tech/tags/data-science.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [developer-tools-techniques](<https://devfeed.tech/tags/developer-tools-techniques.md>), [development](<https://devfeed.tech/tags/development.md>), [diffusion](<https://devfeed.tech/tags/diffusion.md>), [diffusion-models](<https://devfeed.tech/tags/diffusion-models.md>), [earth-2](<https://devfeed.tech/tags/earth-2.md>), [energy](<https://devfeed.tech/tags/energy.md>), [featured](<https://devfeed.tech/tags/featured.md>), [forecasting](<https://devfeed.tech/tags/forecasting.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [nvidia-rtx](<https://devfeed.tech/tags/nvidia-rtx.md>), [physicsnemo](<https://devfeed.tech/tags/physicsnemo.md>), [probabilistic](<https://devfeed.tech/tags/probabilistic.md>), [python](<https://devfeed.tech/tags/python.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [rtx-pro](<https://devfeed.tech/tags/rtx-pro.md>), [simulation-modeling-design](<https://devfeed.tech/tags/simulation-modeling-design.md>)

### AI overview

This tutorial explains how to use NVIDIA Earth-2 AI data assimilation tools to incorporate local and third-party observations into regional and global weather forecasting. It covers constraining diffusion models with point observations and assimilating disparate datasets, using Python and an NVIDIA RTX PRO or data center GPU.

### Source excerpt

Weather-sensitive industries increasingly have access to observations that offer an earlier, more local view of changing conditions. Energy companies collect...