The AIGS Pod
The AIGSThe AIGS podcast tackling AI in earth system modeling and more.
| Publishes | Twice monthly | Episodes | 8 | Founded | 4 months ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | TechnologyScienceNatural Sciences | |||
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Latest Episodes
A comprehensive review of climate model emulation methods and their validation. This episode discusses the latest survey from Claudia Tebaldi, Noelle E. Selin, Rafael Ferrari, and Glenn Flierl, published in the Annual Review of Environment and Resour... more
Machine-learning weather-climate emulators like the Ai2 Climate Emulator (ACE) can reproduce the climate of recent decades, but they break down in unfamiliar conditions, producing unphysical results when asked to simulate a world with sea surface tem... more
Machine-learning weather-climate emulators like the Ai2 Climate Emulator (ACE) can reproduce the climate of recent decades, but they break down in unfamiliar conditions, producing unphysical results when asked to simulate a world with sea surface tem... more
A look at the growing body of work questioning where AI weather and climate models fall short, and why physics-based simulation remains essential. Papers discussed: Zhang et al. (2026), Physics-based models outperform AI weather forecasts of record-b... more
Climate simulations, at all grid resolutions, rely on approximations that encapsulate the forcing due to unresolved processes on resolved variables, known as parameterizations. Parameterizations often lead to inaccuracies in climate models, with sign... more
Coarse resolution, imperfect parameterizations, and uncertain initial states and forcings limit Earth-system model (ESM) predictions. Traditional bias correction via data assimilation improves constrained simulations but offers limited benefit once m... more
This research introduces a modified machine-learning (ML) weather emulator designed to accurately predict fast radiative feedbacks in response to varying CO2 levels. While traditional emulators often struggle with global perturbations, the authors de... more
This research investigates a significant cold bias in modern AI weather and climate models, such as FourCastNet, Pangu, and ACE2, which stems from their reliance on historical training data. By evaluating these models on recent time periods outside o... more
Key Facts
Chart Rankings
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #165 |  United States/Science/Natural Sciences |
Top Natural Sciences Podcasts
Audience Metrics
Listeners, social reach, demographics and more for this podcast.
| Listeners per Episode | Gender Skew | Location | |||
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| Interests | Professions | Age Range | |||
| Household Income | Social Media Reach | ||||
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The AIGS Pod launched 4 months ago and published 8 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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