Earthly Machine Learning
By Amirpasha
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Category: Earth Sciences
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Episodes: 52
Description
“Earthly Machine Learning (EML)” offers AI-generated insights into cutting-edge machine learning research in weather and climate sciences. Powered by Google NotebookLM, each episode distils the essence of a standout paper, helping you decide if it’s worth a deeper look. Stay updated on the ML innovations shaping our understanding of Earth.
It may contain hallucinations.
| Episode | Date |
|---|---|
|
Aligning artificial intelligence with climate change mitigation
|
May 09, 2026 |
|
Machine learning for the physics of climate
|
May 03, 2026 |
|
Atmospheric Transport Modeling of CO2 With Neural Networks
|
Apr 27, 2026 |
|
On the foundations of Earth foundation models
|
Apr 20, 2026 |
|
Whose weather is it? A fairness framework for data-driven weather forecasting
|
Apr 14, 2026 |
|
Learning predictable and informative dynamical drivers of extreme precipitation using variational autoencoders
|
Mar 07, 2026 |
|
Green and intelligent: the role of AI in the climate transition
|
Feb 28, 2026 |
|
Climate Knowledge in Large Language Models
|
Jan 26, 2026 |
|
Artificial Intelligence for Atmospheric Sciences: A Research Roadmap
|
Jan 11, 2026 |
|
Differentiable and accelerated spherical harmonic and Wigner transforms
|
Dec 19, 2025 |
|
Score-based diffusion nowcasting of GOES imagery
|
Dec 11, 2025 |
|
FuXi-Ocean: A Global Ocean Forecasting System with Sub-Daily Resolution
|
Dec 04, 2025 |
|
Beyond the Training Data: Confidence-Guided Mixing of Parameterizations in a Hybrid AI-Climate Model
|
Nov 28, 2025 |
|
Climate in a Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere
|
Nov 23, 2025 |
|
Probabilistic Measures for Fair AI and NWP Model Comparison
|
Nov 07, 2025 |
|
Jigsaw: Training Multi-Billion-Parameter AI Weather Models With Optimized Model Parallelism
|
Oct 24, 2025 |
|
XiChen: An observation-scalable fully AI-driven global weather forecasting system with 4D variational knowledge
|
Oct 18, 2025 |
|
FuXi Weather : A data-to-forecast machine learning system for global weather
|
Oct 03, 2025 |
|
FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale
|
Sep 16, 2025 |
|
Can AI weather models predict out-of-distribution gray swan tropical cyclones?
|
Aug 16, 2025 |
|
Probabilistic Emulation of a Global Climate Model with Spherical DYffusion
|
Aug 09, 2025 |
|
Do AI models produce better weather forecasts than physics-based models? A quantitative evaluation case study of Storm Ciarán
|
Aug 03, 2025 |
|
Early Warning of Complex Climate Risk with Integrated Artificial Intelligence
|
Jul 04, 2025 |
|
On Some Limitations of Current Machine Learning Weather Prediction Models
|
Jun 27, 2025 |
|
Artificial intelligence for modeling and understanding extreme weather and climate events
|
Jun 15, 2025 |
|
Fixing the Double Penalty in Data-Driven Weather Forecasting Through a Modified Spherical Harmonic Loss Function
|
Jun 08, 2025 |
|
Climate-invariant machine learning
|
May 09, 2025 |
|
ClimaX: A foundation model for weather and climate
|
May 02, 2025 |
|
AI-empowered Next-Generation Multiscale Climate Modelling for Mitigation and Adaptation
|
Apr 25, 2025 |
|
FourCastNet – Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators
|
Apr 18, 2025 |
|
Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems
|
Apr 11, 2025 |
|
AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning
|
Apr 04, 2025 |
|
Finding the Right XAI Method—A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science
|
Mar 27, 2025 |
|
Pangu-Weather — Accurate medium-range global weather forecasting with 3D neural networks
|
Mar 21, 2025 |
|
GRAPHDOP — Towards Skillful Data-Driven Medium-Range Weather Forecasts
|
Mar 14, 2025 |
|
DiffDA — A Diffusion Model for Weather-Scale Data Assimilation
|
Mar 07, 2025 |
|
ARCHESWEATHER — An Efficient AI Weather Forecasting Model at 1.5º Resolution
|
Feb 28, 2025 |
|
Advances in Land Surface Model-Based Forecasting
|
Feb 21, 2025 |
|
ACE2 - Accurately learning subseasonal to decadal atmospheric variability and forced responses
|
Feb 14, 2025 |
|
AURORA — A Foundation Model of the Atmosphere
|
Feb 07, 2025 |
|
ACE - A Fast, Skillful Learned Global Atmospheric Model for Climate Prediction
|
Feb 03, 2025 |
|
WeatherBench 2 - A benchmark for the next generation of data-driven global weather models
|
Jan 29, 2025 |
|
FuXi-ENS - A machine learning model for medium-range ensemble weather forecasting
|
Jan 28, 2025 |
|
SFNO - Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere
|
Jan 23, 2025 |
|
Identifying and Categorizing Bias in AI/ML for Earth Sciences
|
Jan 20, 2025 |
|
Aardvark weather- end-to-end data-driven weather forecasting
|
Jan 16, 2025 |
|
Prithvi WxC- Foundation Model for Weather and Climate
|
Jan 14, 2025 |
|
NeuralGCM - Neural general circulation models for weather and climate
|
Jan 13, 2025 |
|
Deep learning for predicting rate-induced tipping
|
Jan 12, 2025 |
|
AIFS - ECMWF's data-driven forecasting system
|
Jan 11, 2025 |
|
Robustness of AI-based weather forecasts in a changing climate
|
Jan 07, 2025 |
|
GenCast - Probabilistic weather forecasting with machine learning
|
Jan 02, 2025 |