1 citations · 1 across the 4 of their papers we have counts for
4 papers
Interactive Atmospheric Composition Emulation for Next-Generation Earth System Models
Seyed Mohammad Hassan Erfani, Kara Lamb, Susanne Bauer +3
Interactive composition simulations in Earth System Models (ESMs) are computationally expensive as they transport numerous gaseous and aerosol tracers at each timestep. This limits…
Understanding Ice Crystal Habit Diversity with Self-Supervised Learning
Joseph Ko, Hariprasath Govindarajan, Fredrik Lindsten +4
Ice-containing clouds strongly impact climate, but they are hard to model due to ice crystal habit (i.e., shape) diversity. We use self-supervised learning (SSL) to learn latent re…
A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery
Joseph Ko, Jerry Harrington, Kara Sulia +3
The microphysical properties of ice crystals are important because they significantly alter the radiative properties and spatiotemporal distributions of clouds, which in turn stron…
Understanding and Visualizing Droplet Distributions in Simulations of Shallow Clouds
Justus C. Will, Andrea M. Jenney, Kara D. Lamb +7
Thorough analysis of local droplet-level interactions is crucial to better understand the microphysical processes in clouds and their effect on the global climate. High-accuracy si…