4 papers
AIMIP Phase 1: systematic evaluations of AI weather and climate models
Brian Henn, Christopher S. Bretherton, Nikolay Koldunov +18
We present the AI weather and climate model intercomparison project (AIMIP), phase 1. Drawing from the rich tradition of intercomparisons in climate model development, we specify a…
Monthly Diffusion v0.9: A Latent Diffusion Model for the First AI-MIP
Kyle J. C. Hall, Maria J. Molina
Here, we describe Monthly Diffusion at 1.5-degree grid spacing (MD-1.5 version 0.9), a climate emulator that leverages a spherical Fourier neural operator (SFNO)-inspired Condition…
Exploring coupled tropical Pacific variability within a Multi-branch -Variational Autoencoder
Emily F. Wisinski, Maria J. Molina, Kyle J. C. Hall +4
This study explores what is encoded in the latent space of a multi-branch -variational autoencoder (-VAE) trained on coupled tropical Pacific climate fields. We assess the re…
Knowledge-guided machine learning for disentangling Pacific sea surface temperature variability across timescales
Kyle J. C. Hall, Maria J. Molina, Emily F. Wisinski +2
Global weather and climate patterns are strongly influenced by dominant modes of anomalous Pacific sea surface temperature (SST) variability, including the El Niño-Southern Oscilla…