3 papers
cs.LG2026
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…
cs.LG2024
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…
physics.ao-ph2024
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…