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

<div id="bsf_rt_marker"></div><p><span style="font-weight: 400;">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.</span></p> <p><a target="_blank" href="https://www.nvidia.com/en-us/high-performance-computing/earth-2/"><span style="font-weight: 400;">NVIDIA Earth-2</span></a><span style="font-weight: 400;"> gives developers and researchers a family of open AI models and tools they can customize with their own data. Running on NVIDIA computing, these technologies support global weather prediction, detailed regional forecasts and environmental research.</span><br /> &nbsp;</p> <div style="margin: 0 !important; padding: 0 !important; text-align: center; line-height: 1;"><a style="display: inline-flex; align-items: center; justify-content: center; margin: 0 !important; padding: 10px !important; background-color: #76b900; color: #ffffff !important; font-family: 'NVIDIA Sans', Arial, sans-serif; font-size: 16px; font-weight: bold; line-height: 1 !important; text-align: center; text-decoration: none !important; white-space: nowrap; vertical-align: top;" href="https://blogs.nvidia.com/gtc-berlin-2026-news/">Read All NVIDIA in Europe Announcements</a></div> <p>&nbsp;</p> <p><b>StormScope EU</b><span style="font-weight: 400;"> is the latest model to join Earth-2 — a regional version of the StormScope model for short-term forecasting, trained over Europe weather and climate data. It uses EUMETSAT satellite observations to predict evolving cloud conditions across 16 Meteosat channels at 10-minute intervals.</span></p> <p><span style="font-weight: 400;">At GTC Berlin, NVIDIA is showcasing a live StormScope EU pipeline in an interactive weather demo built in partnership with </span><a target="_blank" href="https://www.earthmover.io/blog/building-a-low-latency-earth-2-nowcasting-pipeline-with-earthmover"><span style="font-weight: 400;">Earthmover</span></a><span style="font-weight: 400;">. The demo uses Earth2Studio to run forecasts and </span><span style="font-weight: 400;">Earthmover’s</span><span style="font-weight: 400;"> data platform to manage and serve the real-time results, which are updated as soon as new satellite observations come in, every 10 minutes. Earthmover serves these results as map tiles, letting visitors explore predictions across Europe without downloading entire datasets.</span></p> <p><span style="font-weight: 400;">Developers can combine Earth-2 models in workflows tailored to regional needs, using StormScope for short-term forecasting and CorrDiff to add local detail to coarser weather data. Developers can also pick up these model architectures and train them for new environmental applications such as air-quality modeling. The open source </span><a target="_blank" href="https://developer.nvidia.com/physicsnemo"><span style="font-weight: 400;">NVIDIA PhysicsNeMo</span></a><span style="font-weight: 400;"> framework provides training and customization tools so teams can build applications that incorporate proprietary data and domain expertise to meet regional needs.</span></p> <p><span style="font-weight: 400;">Organizations building on Earth-2 capabilities include:</span></p> <p><b>AXA</b><span style="font-weight: 400;"> is using NVIDIA Earth-2’s FourCastNet 3 to study regional cyclone risk beyond the historical record across more than 1,000 simulated seasons, generating insights that can inform risk assessments and help customers target prevention efforts.</span></p> <p><iframe loading="lazy" title="How AI Simulates Thousands of Tropical Cyclone Seasons" width="1200" height="675" src="https://www.youtube.com/embed/c52RdPtL_l8?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe></p> <p><b>Vaisala Xweather</b><span style="font-weight: 400;"> is <a target="_blank" href="https://www.xweather.com/blog/vaisala-xweather-collaborates-with-nvidia-to-deliver-ai-powered-early-warning-for-high-impact-weather">combining Earth-2 with its proprietary observations</a>, lightning data and forecasting expertise to enhance its weather intelligence platforms for government, energy, maritime, transportation and insurance customers. Its work includes adapting StormScope with lightning data to advance short-term forecasting lead time and make these warnings accessible through Vaisala Xweather’s software-as-a-service offerings and AI-assistant integrations.</span></p> <div style="width: 1200px;" class="wp-video"><video class="wp-video-shortcode" id="video-99164-5" width="1200" height="675" preload="auto" controls="controls"><source type="video/mp4" src="https://blogs.nvidia.com/wp-content/uploads/2026/10/Vaisala-Xweather-Nvidia-StormScope.mp4?_=5" /><a href="https://blogs.nvidia.com/wp-content/uploads/2026/10/Vaisala-Xweather-Nvidia-StormScope.mp4">https://blogs.nvidia.com/wp-content/uploads/2026/10/Vaisala-Xweather-Nvidia-StormScope.mp4</a></video></div> <p><i><span style="font-weight: 400;">Video courtesy of Vaisala Xweather.</span></i></p> <p><b>University of Manchester</b><span style="font-weight: 400;"> researchers adapted the Earth-2 CorrDiff model for U.K. air-quality modeling. It trained the model on the NVIDIA-powered Isambard-AI supercomputer and ran it locally on NVIDIA DGX Spark systems, bringing environmental modeling from a national supercomputer to the desktop.</span></p> <p><b>TotalEnergies</b><span style="font-weight: 400;"> is exploring NVIDIA Earth-2 for solar-energy forecasting, evaluating StormScope-based solar-radiation nowcasts at two photovoltaic sites and developing models to provide weather information at subhourly intervals. The work explores how more detailed forecasts could help anticipate changes in solar-power generation.</span></p> <p><b>Space42</b><span style="font-weight: 400;"> developed SARDiff4Height using CorrDiff and NVIDIA PhysicsNeMo. The research estimates surface heights from a single radar image and produces uncertainty maps, helping analysts understand where estimates need closer scrutiny.</span></p> <p><i><span style="font-weight: 400;">Explore </span></i><a target="_blank" href="https://www.nvidia.com/en-us/high-performance-computing/earth-2/"><i><span style="font-weight: 400;">NVIDIA Earth-2 open models and tools</span></i></a><i><span style="font-weight: 400;">, and explore with </span></i><a target="_blank" href="https://nvidia.github.io/earth2studio/"><i><span style="font-weight: 400;">Earth2Studio’s forecasting examples</span></i></a><i><span style="font-weight: 400;">. Read </span></i><a target="_blank" href="https://developer.nvidia.com/blog/spotlight-axa-explores-ai-driven-hurricane-risk-assessment-with-nvidia-earth-2/"><i><span style="font-weight: 400;">AXA’s hurricane-risk case study</span></i></a><i><span style="font-weight: 400;"> and </span></i><a href="https://blogs.nvidia.com/blog/uk-air-pollution-research-earth-2/"><i><span style="font-weight: 400;">Manchester’s air-quality story</span></i></a><i><span style="font-weight: 400;"> to learn how teams are adapting weather AI to specialized challenges.</span></i></p> <p>&nbsp;</p> <div style="margin: 0 !important; padding: 0 !important; text-align: center; line-height: 1;"><a style="display: inline-flex; align-items: center; justify-content: center; margin: 0 !important; padding: 10px !important; background-color: #76b900; color: #ffffff !important; font-family: 'NVIDIA Sans', Arial, sans-serif; font-size: 16px; font-weight: bold; line-height: 1 !important; text-align: center; text-decoration: none !important; white-space: nowrap; vertical-align: top;" href="https://blogs.nvidia.com/gtc-berlin-2026-news/">Read All NVIDIA in Europe Announcements</a></div>