Applications of a CloudSat-TRMM and CloudSat-GPM Satellite Coincidence Dataset. - F. Joseph Turk; Sarah E. Ringerud; Andrea Camplani; Daniele Casella; Randy J. Chase; Ardeshir M. Ebtehaj; Jie Gong; Mark Kulie; Guosheng Liu; Lisa Milani; Giulia Panegrossi; Ramon Padullés; et al. (Remote. Sens., 2021)

A Machine Learning Tutorial for Operational Meteorology, Part I: Traditional Machine Learning. - Randy J. Chase; David R. Harrison; Amanda Burke; Gary M. Lackmann; Amy McGovern (CoRR, 2022)

A Machine Learning Tutorial for Operational Meteorology, Part II: Neural Networks and Deep Learning. - Randy J. Chase; David R. Harrison; Gary M. Lackmann; Amy McGovern (CoRR, 2022)

Machine Learning Estimation of Maximum Vertical Velocity from Radar. - Randy J. Chase; Amy McGovern; Cameron Homeyer; Peter Marinescu; Corey K. Potvin (CoRR, 2023)

Building Unified Global 3D Cloud Data From Multiple Satellites For Advancing Weather And Climate Research. - Yoo-Jeong Noh; John M. Haynes; Steven D. Miller; Charles White; Brandon Daub; Imme Ebert-Uphoff; Hungjui Yu; Jason Apke; Randy J. Chase; Katherine Haynes; Jeremy Solbrig; Evan Rose; et al. (IGARSS, 2024)

Score-based diffusion nowcasting of GOES imagery. - Randy J. Chase; Katherine Haynes; Lander Ver Hoef; Imme Ebert-Uphoff (CoRR, 2025)