All Episodes
Earthly Machine Learning — 52 episodes
Aligning artificial intelligence with climate change mitigation
Machine learning for the physics of climate
Atmospheric Transport Modeling of CO2 With Neural Networks
On the foundations of Earth foundation models
Whose weather is it? A fairness framework for data-driven weather forecasting
Learning predictable and informative dynamical drivers of extreme precipitation using variational autoencoders
Green and intelligent: the role of AI in the climate transition
Climate Knowledge in Large Language Models
Artificial Intelligence for Atmospheric Sciences: A Research Roadmap
Differentiable and accelerated spherical harmonic and Wigner transforms
Score-based diffusion nowcasting of GOES imagery
FuXi-Ocean: A Global Ocean Forecasting System with Sub-Daily Resolution
Beyond the Training Data: Confidence-Guided Mixing of Parameterizations in a Hybrid AI-Climate Model
Climate in a Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere
Probabilistic Measures for Fair AI and NWP Model Comparison
Jigsaw: Training Multi-Billion-Parameter AI Weather Models With Optimized Model Parallelism
XiChen: An observation-scalable fully AI-driven global weather forecasting system with 4D variational knowledge
FuXi Weather : A data-to-forecast machine learning system for global weather
FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale
Can AI weather models predict out-of-distribution gray swan tropical cyclones?
Probabilistic Emulation of a Global Climate Model with Spherical DYffusion
Do AI models produce better weather forecasts than physics-based models? A quantitative evaluation case study of Storm Ciarán
Early Warning of Complex Climate Risk with Integrated Artificial Intelligence
On Some Limitations of Current Machine Learning Weather Prediction Models
Artificial intelligence for modeling and understanding extreme weather and climate events
Fixing the Double Penalty in Data-Driven Weather Forecasting Through a Modified Spherical Harmonic Loss Function
Climate-invariant machine learning
ClimaX: A foundation model for weather and climate
AI-empowered Next-Generation Multiscale Climate Modelling for Mitigation and Adaptation
FourCastNet – Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators
Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems
AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning
Finding the Right XAI Method—A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science
Pangu-Weather — Accurate medium-range global weather forecasting with 3D neural networks
GRAPHDOP — Towards Skillful Data-Driven Medium-Range Weather Forecasts
DiffDA — A Diffusion Model for Weather-Scale Data Assimilation
ARCHESWEATHER — An Efficient AI Weather Forecasting Model at 1.5º Resolution
Advances in Land Surface Model-Based Forecasting
ACE2 - Accurately learning subseasonal to decadal atmospheric variability and forced responses
AURORA — A Foundation Model of the Atmosphere
ACE - A Fast, Skillful Learned Global Atmospheric Model for Climate Prediction
WeatherBench 2 - A benchmark for the next generation of data-driven global weather models
FuXi-ENS - A machine learning model for medium-range ensemble weather forecasting
SFNO - Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere
Identifying and Categorizing Bias in AI/ML for Earth Sciences
Aardvark weather- end-to-end data-driven weather forecasting
Prithvi WxC- Foundation Model for Weather and Climate
NeuralGCM - Neural general circulation models for weather and climate
Deep learning for predicting rate-induced tipping
AIFS - ECMWF's data-driven forecasting system
Robustness of AI-based weather forecasts in a changing climate
GenCast - Probabilistic weather forecasting with machine learning