1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
Recommendations for Comprehensive and Independent Evaluation of Machine Learning-Based Earth System Models
Paul A. Ullrich, Elizabeth A. Barnes, William D. Collins +9
Machine learning (ML) is a revolutionary technology with demonstrable applications across multiple disciplines. Within the Earth science community, ML has been most visible for wea…
Can Transfer Learning be Used to Identify Tropical State-Dependent Bias Relevant to Midlatitude Subseasonal Predictability?
Kirsten J. Mayer, Katherine Dagon, Maria J. Molina
Previous research has demonstrated that specific states of the climate system can lead to enhanced subseasonal predictability (i.e., state-dependent predictability). However, biase…