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Hosted by Zhi Li · 🇺🇸 US · EN · 14 episodes
Established thought leaders with verified media credentials.
Brace yourself for a deep dive into the science of how artificial intelligence is revolutionizing our understanding of extreme weather and climate change. Each episode brings you cutting-edge research and insights on how AI-powered tools are being used to predict and mitigate natural disasters like floods, droughts, and wildfires. We'll unravel the complexities of climate models, explore the frontiers of AI-powered early warning systems, and discuss the ethical implications of AI-driven solutions. Join us as we break down the science and uncover the transformative potential of AI in tackling our planet's most pressing challenges.
Zhi Li hosts AI Extreme Weather and Climate, a science show with 14 episodes published.
In this episode of AI Extreme Weather and Climate, Allen and Sydney explore a major breakthrough in meteorological AI: predicting rare but high-impact events like typhoons. While foundation models like Pangu-Weather exce
This paper introduces NeuralGCM, a hybrid atmospheric model that integrates machine learning with traditional differentiable physics to improve global precipitation simulations. Unlike older models that rely on high-reso
The episode describes the Continuous Flow Operator (CFO), a novel neural framework for learning the continuous-time dynamics of Partial Differential Equations (PDEs), aimed at overcoming limitations found in conventional
This episode provides a comprehensive monograph on diffusion models, detailing their foundational principles through three unifying perspectives: the Variational View (related to VAEs and DDPMs), the Score-Based View (ro
This episode introduces RainSeer, a novel, structure-aware framework for reconstructing high-resolution rainfall fields by treating radar reflectivity as a physically grounded structural prior. The authors argue that exi
This episode dives into FlowCast-ODE, a novel deep learning framework designed to achieve accurate and continuous hourly weather forecasting. The model tackles critical challenges in high-frequency prediction, such as th
Welcome to a new episode where we dive into AQUAH, the Automatic Quantification and Unified Agent in Hydrology! This groundbreaking system is the first end-to-end language-based agent specifically designed for hydrologic
cBottle, developed by NVIDIA, is a generative diffusion-based framework that acts as a generative foundation model for the global atmosphere. It directly tackles the challenge of petabyte-scale climate simulation data, w
This research evaluates the performance of the Aurora weather foundation model by using lightweight decoders to predict hydrological and energy variables not included in its original training. The study highlights that t
When we talk about foundation models, what are we talking about? This is a reflection piece on foundation models by drawing an analogy from numerical solutions in fluid dynamics. This paper explore the challenges in buil
IBM recently released the first-of-its-kind geospatial intelligence any-to-any model TerraMind. In this podcast, we feature this new generative model and learn its capability of multi-modality. I believe there is a lot o
Today, we are featuring a geospatial foundation model Prithvi, produced by NASA and IBM, one of the first foundation model in this space. Trained on a large global dataset of NASA’s Harmonized Landsat and Sentinel-2 data
This research article introduces HydroGraphNet, a novel physics-informed graph neural network for improved flood forecasting. Traditional hydrodynamic models are computationally expensive, while machine learning alternat
We are featuring three papers: Mardani, M., Brenowitz, N., Cohen, Y., Pathak, J., Chen, C., Liu, C., Vahdat, A., Nabian, M. A., Ge, T., Subramaniam, A., Kashinath, K., Kautz, J., & Pritchard, M. (2025). Residual correcti
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AI Extreme Weather and Climate is hosted by Zhi Li. The show is categorised under science (earth) and has published 14 episodes.
AI Extreme Weather and Climate has published 14 episodes.
AI Extreme Weather and Climate regularly covers science, earth, education. It sits in the science category, with a earth focus.
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Episodes of AI Extreme Weather and Climate average 18 minutes. a focused format where a clear narrative arc and tight preparation matter most.
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