ELLIS - European Laboratory for Learning and Intelligent Systems’ Post

I compulsively read every one of these climate science model articles; they are so interesting and obviously incredibly important given the climate challenges the world is facing. Our previous model FourCastNet (based on Fourier neural operators) could forecast weather to 25km resolution, but the new CorrDiff model uses diffusion to downscale from 25 to 2km accuracy... fine-grained enough to predict local damage to specific infrastructure. #ai #climate #nvidiaresearch

Aurora: The AI Revolution in Weather Forecasting! 🌍 Aurora, a revolutionary foundation model of the atmosphere trained on over 1 million hours of diverse weather and climate data. Aurora leverages vast amounts of data to learn powerful, general-purpose representations. ⚡️With Aurora, we can now generate 5-day global air pollution predictions and 10-day high-res weather forecasts in under a minute. These forecasts outperform state-of-the-art classical simulation tools and specialized deep learning models. A game-changer for environmental forecasting! 🔮 Foundation models like Aurora hold immense promise to transform how we model the Earth's complex, interconnected subsystems like the atmosphere, oceans, land and ice. The future of Earth system modeling is here, and it's powered by AI! https://lnkd.in/gBbx7YGS

Excited to share 🌟: SEEDS is pioneering the future of weather forecasting with generative AI! 🌦️💡 https://lnkd.in/eapYmvxa This breakthrough demonstrates how AI can enhance numerical weather prediction, offering a glimpse into faster, more accurate forecasts. We're eager to see how this tech will advance climate risk assessment and uncertainty quantification in climate projections. The future of climate science is here! 🚀🌍 #GenerativeAI #WeatherPrediction #ClimateInnovation

A University of Reading study published in npj Climate and Atmospheric Science highlights how AI-based weather forecasting can achieve the accuracy of traditional methods but with greater efficiency and lower costs. The research, focusing on Storm Ciarán from November 2023, revealed that while AI models could predict extreme weather events with notable accuracy, they tended to underestimate peak wind speeds. According to Professor Andrew Charlton-Perez, the study's lead, AI is rapidly transforming the field, delivering reliable 10-day global forecasts faster than ever. However, the findings also point to the need for improvements in AI models to fully capture extreme weather conditions like maximum wind speeds. https://lnkd.in/eEjwAWwE #WeatherForecasting #AI #ClimateScience #UniversityOfReading

Hydrologists to transform climate projections with microbial data and artificial intelligence - University of Arizona News: Hydrologists to transform climate projections with microbial data and artificial intelligence  University of Arizona News http://dlvr.it/TGHgPb #ai #artificialintelligence

AI provides a new observational playground for climate research 💻     EXPECT researchers from Deutsches Klimarechenzentrum GmbH, Barcelona Supercomputing Center and Met Office show how #ArtificialIntelligence can unlock insights into European climate extremes - revealing trends in warm and cold days and nights from the beginning of the 20th century up to this day. 🌡 ❄     This AI approach doesn’t just fill in the blanks: it surpasses established geostatistical procedures, offering a new level of precision in climate data analysis.     A major step forward for climate science! 🌍     Find out more about the publication here: https://lnkd.in/d6hyWnjQ   #ClimateModels #ClimatePrediction #Regionalclimatechange #AI 

Decoding #ClimateChange with #AI - more efficient & accurate than ever before! Google in partnership with the European Centre for Medium-Range Weather Forecasts, have developed a groundbreaking machine learning-based approach called NeuralGCM. This innovative model combines traditional physics-based #ClimateModeling with advanced machine learning, resulting in more accurate and efficient #ClimateSimulation. #NeuralGCM can simulate everything from short-term #weather events to long-term climate trends, spanning days to decades. A breakthrough in our understanding of climate change, offering the potential to vastly improve our predictions and enable more effective #mitigation and #adaptation strategies. This model can be expanded to incorporate additional aspects of the climate system, including #oceans and the #biosphere. Explore more: https://lnkd.in/g722iYSp #Climate #Innovation #ClimateModeling #Sustainability #GoogleAI #MachineLearning #Sustainability

🌍 AI Climate Modeling: Predict climate patterns with AI tools like ClimateEngine and Earth.ai. Analyze data and model environmental changes. #ClimateModeling #AISustainability

Revolutionizing Climate Response: AI-Driven Multiscale Climate Modelling The integration of AI into multiscale climate modelling brings a revolution in climate science, enhancing mitigation strategies and adaptation plans. By leveraging AI algorithms such as deep learning and neural networks, researchers achieve higher accuracy in climate forecasting. This empowers better-informed decisions, crucial for renewable energy optimization, disaster response, and adaptation planning in coastal and agricultural sectors. Sophisticated data visualizations, created through AI, enhance communication and decision-making, marking a significant advance in managing climate change impacts. Read more: https://lnkd.in/gDEFQSgE #ai #sustainability #esg #environmentalengineering #environmental #carbon #decarbonization #ArtificialIntelligence #climatechange #renewableenergy #AIGC

AI is revolutionising how we process and interpret Earth observation data. By training geospatial AI foundational models on diverse data types, we can efficiently analyse patterns and trends, enabling highly accurate climate predictions. Real-world applications illustrate AI's impact: machine learning models expedited $80 million in disaster assistance after Hurricane Ian, while Microsoft's Aurora can forecast air pollution levels in under a minute. As we continue to harness AI, we move closer to accessible climate insights that empower stakeholders and communities to act swiftly and effectively. 🌿 #GeospatialAI #EarthObservation #ClimateAction #DataAnalytics #MachineLearning