Latest news with #Earth-2
Mint
12-06-2025
- Science
- Mint
Nvidia ‘Climate in a Bottle' opens a view into Earth's future. What will we do with it?
Nvidia has unveiled a new generative foundation model that it says enables simulations of Earth's global climate with an unprecedented level of resolution. As is so often the case with powerful new technology, however, the question is what else humans will do with it. The company expects that climate researchers will build on top of its new AI-powered model to make climate predictions that focus on five-kilometer areas. Previous leading-edge global climate models typically don't drill below 25 to 100 kilometers. Researchers using the new model may be able to predict conditions decades into the future with a new level of precision, providing information that could help efforts to mitigate climate change or its effects. A 5-kilometer resolution may help capture vertical movements of air in the lower atmosphere that can lead to certain kinds of thunderstorms, for example, and that might be missed with other models. And to the extent that high-resolution near-term forecasts are more accurate, the accuracy of longer-term climate forecasts will improve in turn, because the accuracy of such predictions compounds over time. The model, branded by Nvidia as cBottle for 'Climate in a Bottle," compresses the scale of Earth observation data 3,000 times and transforms it into ultra-high-resolution, queryable and interactive climate simulations, according to Dion Harris, senior director of high-performance computing and AI factory solutions at Nvidia. It was trained on high-resolution physical climate simulations and estimates of observed atmospheric states over the past 50 years. It will take years, of course, to know just how accurate the model's long-term predictions turn out to be. Nvidia says it has run tests on historic data to confirm that cBottle would have predicted the climate that actually eventually followed. The model also has a promising pedigree as part of Nvidia's Earth-2 platform, which is used to create digital twins of the planet. Nvidia introduced it four years ago to advance weather forecasting and climate science. Scientific research institutions and policymakers, including the Alan Turing Institute of AI and the Max Planck Institute of Meteorology, are actively exploring the new model, Nvidia said Tuesday at the ISC 2025 computing conference in Hamburg. Bjorn Stevens, director of the Planck Institute, said it 'represents a transformative leap in our ability to understand, predict and adapt to the world around us." 'By harnessing Nvidia's advanced AI and accelerated computing, we're building a digital twin of the planet," Stevens added, 'marking a new era where climate science becomes accessible and actionable for all, enabling informed decisions that safeguard our collective future." It's easy to imagine other decisions based on cBottle simulations, though, that would be more parochial in nature. Will home insurance companies withdraw from additional markets now, for example, because simulations using cBottle predict growing flood or fire risks 10 years out? What happens to property values and property tax revenue in areas like those? And what might governments of the world do in response to climate forecasts on a five-kilometer scale years in the future? Predicting conditions that could lead to food or water shortages might enable officials and residents to better prepare. But great powers' jockeying over the Arctic Circle might equally intensify if they believe they know exactly where and how many new sea lanes will open. The Earth-2 platform is in various states of deployment at weather agencies from National Oceanic and Atmospheric Administration in the U.S. to G42, an Abu Dhabi-based holding company focused on AI, and the National Science and Technology Center for Disaster Reduction in Taiwan. Spire Global, a provider of data analytics in areas such as climate and global security, has used Earth-2 to help improve its weather forecasts by three orders of magnitude with regards to speed and cost over the last three or four years, according to Peter Platzer, co-founder and executive chairman. The company, which gathers data from its fleet of low-Earth-orbit satellites, built its own technology on top of Earth-2, he said. It was an early adopter of Earth-2. Tasks that once required eight hours to complete can now be executed in three minutes or less, Platzer added. 'The dramatic acceleration of processing power is the massive thing," he said. Along with time, money has been the other major constraint on more-powerful forecasts. The cost of running a high-resolution weather simulation every hour for a full year is $3 million if you do it the traditional way, on CPUs, according to Nvidia. The company said its CorrDiff generative AI model running on its GPUs can perform that task for $60,000. For Platzer, the savings mean weather predictions of 15 or 45 days went from being not useful to valuable, according to Platzer. That is 'far beyond what was previously thought possible," he said. The new models still don't provide 100% certainty. They don't state that the weather or climate will be one thing or another, but rather provide probabilities for certain outcomes. If you watched those percentage-based predictions about who would win the 2016 presidential election between Hillary Clinton and Donald Trump, you know what that means. Even a very high chance isn't the same as a sure thing. That uncertainty might give Climate in a Bottle-based model users appropriate humility and caution when considering how to react to a projection about three decades in the future. Or it might lead them to make a decision with big implications and costs, emboldened by the imprimatur of advanced AI, only to have bet on an outcome that never arrives. Write to Steven Rosenbush at
Arabian Business
31-03-2025
- Business
- Arabian Business
G42 and NVIDIA collaborate to introduce a hyper-local weather forecasting model
Abu Dhabi's G42 is exploring the expansion of a hyper-local AI-powered weather forecasting system that it developed in collaboration with NVIDIA. The generative downscaling model offers faster, more cost-effective simulations, as well as the ability to predict extreme events by learning the small-scale physics of the region. G42 successfully carried out an end-to-end fog simulation across the UAE, with the progression of fog across the country from morning to evening within a single day, showcasing the platform's advanced visualisation capabilities and its integration of real, high-resolution fog forecast data. G42 and NVIDIA AI-powered weather forecasting This breakthrough enables enhanced fog forecasts, impacting the productivity and safety of people across sectors like transportation, logistics, public safety, insurance, renewable energy, and utilities. By improving safety, efficiency, and risk management capabilities, the model has achieved enhancements in speed and cost-effectiveness compared to traditional forecasting systems. The model was built by the Earth-2 Climate Tech Lab in Abu Dhabi, which was established as part of G42's partnership with NVIDIA. Inception, a G42 company, customised CorrDiff (part of the NVIDIA's Earth-2 platform), to provide detailed 200-meter resolution forecasts for Abu Dhabi and other urban areas. The much-improved level of granularity sets a benchmark in micro-weather simulations and high-resolution forecasting tailored to specific urban environments. This enables governments, industries, and communities to anticipate the impact of extreme weather with timely warnings and thus initiate effective response measures. Core42, G42's digital infrastructure company, will host the platform and provide accelerated compute and inference services leveraging NVIDIA hardware. Andrew Jackson, Chief Executive Officer of Inception, commented: 'For AI to be truly transformative, it should be an accessible tool for governments and industries worldwide. Through our collaboration with NVIDIA, we are bringing cutting-edge forecasting capabilities within reach of those who need them most. 'Because CorrDiff is designed to adapt to local weather behaviours, this technology is not only improving forecasting for the UAE but can also be tailored for regions worldwide facing climate volatility. The ability to generate hyper-local predictions gives decision-makers the confidence to act faster, plan better, and build more resilient systems. 'Beyond its impact on weather forecasting, this breakthrough has far-reaching applications in aviation, urban mobility, energy grid optimisation, and environmental planning. Hyper-local insights can reduce flight delays, improve road safety, optimise renewable energy distribution, and support climate-adaptive urban development.' Enhancing safety with AI G42 is now planning to take the technology beyond the UAE, particularly in climate-vulnerable regions across the Global South, such as Africa, South Asia, and Southeast Asia, where accurate forecasting can be a critical tool for disaster preparedness and infrastructure resilience. Dr Abdulla Al Mandous, Director General of the National Center of Meteorology UAE, added: 'AI-powered weather forecasting has the potential to revolutionise high-quality, high-resolution weather and disaster management solutions, particularly in this accelerating phase of climate change. 'By enhancing prediction accuracy and enabling hyper-local, real-time forecasts, this technology empowers better decision-making and strengthens resilience against climate challenges. We are excited to see how these innovations will shape the future of sustainability and drive more effective, data-driven solutions.' Dion Harris, Senior Director of HPC and AI Factory Solutions at NVIDIA, said: 'Hyper-local weather forecasting is becoming crucial to determining patterns and people positioning as climates around the world undergo change. G42 is innovating using the NVIDIA Earth-2 platform to drive access to actionable information in areas that need it most. 'Weather forecasting has always required significant computational power, but AI is redefining what's possible. With physics-informed neural networks and high-resolution climate modelling, we can now generate faster, more detailed, and more adaptive predictions. The scalability of accelerated computing allows us to process vast amounts of data efficiently, helping industries and governments better understand and respond to extreme weather patterns.'
TECHx
19-03-2025
- Business
- TECHx
TECHx Media G42, NVIDIA Unveil AI-Driven Weather Forecasting System
G42 and NVIDIA have announced a major milestone in their collaboration, unveiling a cutting-edge AI-powered hyper-local weather forecasting system. This groundbreaking technology builds upon their initial partnership, which led to the creation of the Earth-2 Climate Tech Lab in Abu Dhabi. The new generative downscaling model offers faster, cost-effective simulations, enabling the prediction of extreme weather events by understanding small-scale regional physics. Inception, a G42 company, has customized NVIDIA's CorrDiff (a part of the Earth-2 platform) to provide highly detailed 200-meter resolution forecasts for Abu Dhabi and other urban areas. This leap in granularity sets a new standard in micro-weather simulations, offering tailored high-resolution forecasting for urban environments. The technology empowers governments, industries, and communities to anticipate extreme weather events, providing timely warnings and facilitating better response measures. Core42, G42's digital infrastructure company, will host the platform and accelerate computing and inference services using NVIDIA hardware. G42 recently showcased the system's potential with a successful end-to-end fog simulation over the UAE. The breakthrough enhances fog forecasting, impacting sectors like transportation, logistics, public safety, insurance, renewable energy, and utilities. Compared to traditional systems, the AI-powered solution offers remarkable speed and cost-effectiveness, improving safety, efficiency, and risk management. This advancement is a significant step toward realizing next-generation climate science and underscores G42's commitment to climate mitigation and sustainability efforts across the region. H.E. Dr. Abdulla Al Mandous, Director General of the National Center of Meteorology UAE, commented on the innovation, highlighting AI's potential to revolutionize weather forecasting and disaster management solutions. 'By enhancing prediction accuracy and enabling hyper-local, real-time forecasts, this technology strengthens resilience against climate challenges,' he said. 'We are excited to see how these innovations will drive more effective, data-driven solutions for sustainability.' Andrew Jackson, CEO of Inception, emphasized the accessibility of the technology for governments and industries worldwide. 'Through our collaboration with NVIDIA, we are making cutting-edge forecasting capabilities available to those who need them most. CorrDiff's adaptability to local weather behaviors means it can be tailored for regions worldwide, improving climate resilience.' The technology also holds significant promise for various sectors beyond weather forecasting, including aviation, urban mobility, energy grid optimization, and environmental planning. Hyper-local insights can reduce flight delays, enhance road safety, optimize renewable energy distribution, and support climate-adaptive urban development. Dion Harris, Senior Director of HPC and AI Factory Solutions at NVIDIA, noted, 'AI is redefining what's possible in weather forecasting. With Physics AI models for high-resolution climate modeling, we can now generate faster, more detailed, and adaptive predictions, helping industries and governments better respond to extreme weather events.' This milestone reflects the increasing global demand for AI-driven solutions to address climate challenges. As extreme weather events become more frequent and severe, AI-powered forecasting will play a crucial role in protecting populations, safeguarding infrastructure, and building resilient economies. Looking ahead, G42 plans to expand this technology beyond the UAE, targeting climate-vulnerable regions in Africa, South Asia, and Southeast Asia. In these areas, accurate forecasting is essential for disaster preparedness and infrastructure resilience.
Zawya
19-03-2025
- Business
- Zawya
G42, NVIDIA unveil AI-powered weather forecasting system
G42 and NVIDIA have unveiled a pioneering hybrid weather forecasting system, marking a significant advancement in their AI-powered climate technology collaboration. This development builds on the initial partnership between the two companies, which led to the establishment of the Earth-2 Climate Tech Lab in Abu Dhabi. The custom generative model provides faster, more efficient, and cost-effective simulations, along with the ability to predict extreme climate events by studying and learning the unique characteristics of the region. Inception, a G42 subsidiary, has developed a specialised version of CorrDiff to deliver high-resolution, 200-metre weather forecasts for Abu Dhabi and other urban areas. This unprecedented level of accuracy sets a new benchmark for precise weather modelling, enabling governments, industries, and communities to prepare for extreme weather events through early warnings and effective response measures. Core42, G42's digital infrastructure company, will host the platform and provide accelerated computing and inference services, utilising NVIDIA's advanced technologies. As part of this initiative, G42 conducted a comprehensive fog simulation over the UAE, significantly improving fog forecasting capabilities, which directly impacts productivity and safety across various sectors. The company has achieved notable advancements in speed and cost efficiency compared to traditional forecasting systems, enhancing safety, operational efficiency, and risk management. Dr. Abdulla Al Mandous, Director-General of the National Center of Meteorology, stated that this technology empowers decision-makers to make more effective choices, enhances climate adaptation, and improves forecasting accuracy by providing real-time, localised weather predictions. He emphasised the centre's commitment to adopting the latest AI-driven weather forecasting technologies, reinforcing its global leadership in climate resilience efforts. Dr. Andrew Jackson, CEO of Inception, highlighted CorrDiff's adaptability to local weather patterns, making it a valuable tool for improving forecasting accuracy in the UAE. He noted that the model can also be customised for other climate-challenged regions, with applications extending beyond weather forecasting to include aviation, urban mobility, energy grid optimisation, and environmental planning. The detailed insights provided by this system help reduce flight delays, enhance road safety, optimise renewable energy distribution, and support climate-resilient urban development. Dion Harris, Senior Director of High-Performance Computing and AI Solutions at NVIDIA, noted that G42 is driving innovation by leveraging the Earth-2 platform to provide actionable weather intelligence in the most critical regions. He emphasised that AI-driven forecasting requires immense computational power, but advancements in AI and physics-based models now enable faster, more detailed, and adaptive weather predictions. G42 is now considering expanding this technology beyond the UAE, focusing on climate-vulnerable regions in the Global South, such as Africa, South Asia, and Southeast Asia, where precise forecasting can play a crucial role in disaster mitigation.
Al Etihad
19-03-2025
- Business
- Al Etihad
G42, NVIDIA unveil AI-powered weather forecasting system
19 Mar 2025 17:17 ABU DHABI (WAM)G42 and NVIDIA have unveiled a pioneering hybrid weather forecasting system, marking a significant advancement in their AI-powered climate technology development builds on the initial partnership between the two companies, which led to the establishment of the Earth-2 Climate Tech Lab in Abu custom generative model provides faster, more efficient, and cost-effective simulations, along with the ability to predict extreme climate events by studying and learning the unique characteristics of the a G42 subsidiary, has developed a specialised version of CorrDiff to deliver high-resolution, 200-metre weather forecasts for Abu Dhabi and other urban areas. This unprecedented level of accuracy sets a new benchmark for precise weather modelling, enabling governments, industries, and communities to prepare for extreme weather events through early warnings and effective response G42's digital infrastructure company, will host the platform and provide accelerated computing and inference services, utilising NVIDIA's advanced part of this initiative, G42 conducted a comprehensive fog simulation over the UAE, significantly improving fog forecasting capabilities, which directly impacts productivity and safety across various sectors. The company has achieved notable advancements in speed and cost efficiency compared to traditional forecasting systems, enhancing safety, operational efficiency, and risk Abdulla Al Mandous, Director-General of the National Center of Meteorology, stated that this technology empowers decision-makers to make more effective choices, enhances climate adaptation, and improves forecasting accuracy by providing real-time, localised weather predictions. He emphasised the centre's commitment to adopting the latest AI-driven weather forecasting technologies, reinforcing its global leadership in climate resilience Andrew Jackson, CEO of Inception, highlighted CorrDiff's adaptability to local weather patterns, making it a valuable tool for improving forecasting accuracy in the UAE. He noted that the model can also be customised for other climate-challenged regions, with applications extending beyond weather forecasting to include aviation, urban mobility, energy grid optimisation, and environmental planning. The detailed insights provided by this system help reduce flight delays, enhance road safety, optimise renewable energy distribution, and support climate-resilient urban Harris, Senior Director of High-Performance Computing and AI Solutions at NVIDIA, noted that G42 is driving innovation by leveraging the Earth-2 platform to provide actionable weather intelligence in the most critical regions. He emphasised that AI-driven forecasting requires immense computational power, but advancements in AI and physics-based models now enable faster, more detailed, and adaptive weather predictions. G42 is now considering expanding this technology beyond the UAE, focusing on climate-vulnerable regions in the Global South, such as Africa, South Asia, and Southeast Asia, where precise forecasting can play a crucial role in disaster mitigation.
