activity
20242026
most citedEvaluation of Tropical Cyclone Track and Intensity Forecasts from Artificial Intelligence Weather Prediction (AIWP) Models

4 citations · 4 across the 4 of their papers we have counts for

collaborators

6 papers

physics.ao-ph2026

C3DIR: A Deep Learning 3-Dimensional Cloud Property Retrieval Scheme for Passive Satellite Imagers

Charles H. White, Yoo-Jeong Noh, John M. Haynes +1

We develop the Cloud 3-Dimensional Imager Retrieval (C3DIR), a deep learning model that estimates 3-D cloud properties for multiple passive satellite imagers trained to match retri…

physics.ao-ph2025

Using machine learning to downscale coarse-resolution environmental variables for understanding the spatial frequency of convective storms

Hungjui Yu, Lander Ver Hoef, Kristen L. Rasmussen +1

Global climate models (GCMs), typically run at ~100-km resolution, capture large-scale environmental conditions but cannot resolve convection and cloud processes at kilometer scale…

cs.CV2025

Knowledge-Guided Machine Learning: Illustrating the use of Explainable Boosting Machines to Identify Overshooting Tops in Satellite Imagery

Nathan Mitchell, Lander Ver Hoef, Imme Ebert-Uphoff +4

Machine learning (ML) algorithms have emerged in many meteorological applications. However, these algorithms struggle to extrapolate beyond the data they were trained on, i.e., the…

cs.LG2025

How to use score-based diffusion in earth system science: A satellite nowcasting example

Randy J. Chase, Katherine Haynes, Lander Ver Hoef +1

Machine learning (ML) is used for many earth science applications; however, traditional ML methods trained with squared errors often create blurry forecasts. Diffusion models are a…

physics.ao-ph2024★ 4 cited

Evaluation of Tropical Cyclone Track and Intensity Forecasts from Artificial Intelligence Weather Prediction (AIWP) Models

Mark DeMaria, James L. Franklin, Galina Chirokova +4

In just the past few years multiple data-driven Artificial Intelligence Weather Prediction (AIWP) models have been developed, with new versions appearing almost monthly. Given this…

physics.ao-ph2024

Center-fixing of tropical cyclones using uncertainty-aware deep learning applied to high-temporal-resolution geostationary satellite imagery

Ryan Lagerquist, Galina Chirokova, Robert DeMaria +2

Determining the location of a tropical cyclone's (TC) surface circulation center -- "center-fixing" -- is a critical first step in the TC-forecasting process, affecting current/fut…