G42 and NVIDIA have collaboratively launched a hyper-local, weather forecasting system. Building on the two companies’ initial partnership, which established the Earth-2 Climate Tech Lab in Abu Dhabi, 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.
Inception, a G42 company, has customised CorrDiff (a 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 effective response measures. Core42, G42’s digital infrastructure company, will host the platform and provide accelerated compute and inference services leveraging NVIDIA hardware.
G42 successfully carried out an end-to-end fog simulation across the UAE, with 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.
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, G42 has achieved enhancements in speed and cost-effectiveness compared to traditional forecasting systems.
This is an important step towards realising next-generation climate science and underpins the firm’s commitment to climate mitigation products, while contributing to wider sustainability efforts across the region.
Dr Abdulla Al Mandous, Director General of the National Center of Meteorology UAE, said: "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. The National Center of Meteorology UAE is rapidly embracing AI technologies for advanced weather forecasting and disaster management, positioning itself at the forefront of global efforts in weather and climate resilience.”
Andrew Jackson, Chief Executive Officer of Inception, said: “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 behaviors, 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.”
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 modeling, 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.”
The milestone reflects a growing 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 enabling nations to protect populations, safeguard infrastructure, and build more resilient economies.
G42 is now exploring the expansion of this 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.
