AI for Earth and Sustainability Science | AI for Good Discovery - How deep learning improves weather forecasts and reduces energy demands

Deep learning weather prediction (DLWP) models are about to outperform traditional numerical weather prediction (NWP) models. In this talk, we will review the evolution of deep learning for weather prediction and hypothesize what we may expect in the next years and what not. Beyond that, we will search for explanations by contrasting potentials and limitations of today's DLWP and NWP models. Among those, we will understand how DLWP can drastically reduce energy consumption and where machine learning helps us in understanding land-atmosphere interactions processes. Join the Neural Network! 👉https://aiforgood.itu.int/neural-network/ The AI for Good networking community platform powered by AI. Designed to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to advance the SDGs using AI. 🔴 Watch the latest #AIforGood videos! https://www.youtube.com/c/AIforGood/videos 📩 Stay updated and join our weekly AI for Good newsletter: http://eepurl.com/gI2kJ5 🗞Check out the latest AI for Good news: https://aiforgood.itu.int/newsroom/ 📱Explore the AI for Good blog: https://aiforgood.itu.int/ai-for-good-blog/ 🌎 Connect on our social media: Website: https://aiforgood.itu.int/ Twitter: https://twitter.com/AIforGood LinkedIn Page: https://www.linkedin.com/company/26511907 LinkedIn Group: https://www.linkedin.com/groups/8567748 Instagram: https://www.instagram.com/aiforgood Facebook: https://www.facebook.com/AIforGood Disclaimer: The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.