Rain effects on SeaWinds data. - Kyle Hilburn; Frank Wentz; Carl A. Mears (IGARSS, 2003)

A newly revived Satellite-based Global air-sea Surface Turbulent Fluxes dataset and its dependence on the SSM/I brightness temperature. - Chung-Lin Shie; Kyle Hilburn (IGARSS, 2011)

The Aquarius salinity retrieval algorithm. - Thomas Meissner; Frank Wentz; Kyle Hilburn; Gary S. E. Lagerloef; David M. Le Vine (IGARSS, 2012)

Upper ocean salinity stratification and rain freshening in the tropics observed from Aquarius. - Thomas Meissner; Frank Wentz; Joel Scott; Kyle Hilburn (IGARSS, 2014)

Ocean Vector Winds From WindSat Two-Look Polarimetric Radiances. - Kyle A. Hilburn; Thomas Meissner; Frank J. Wentz; Shannon T. Brown (IEEE Trans. Geosci. Remote. Sens., 2016)

Tropical Cyclone Rainfall Estimates from FY-3B MWRI Brightness Temperatures Using the WS Algorithm. - Ruanyu Zhang; Zhenzhan Wang; Kyle A. Hilburn (Remote. Sens., 2018)

An Interactive Data-Driven HPC System for Forecasting Weather, Wildland Fire, and Smoke. - Jan Mandel; Martin Vejmelka; Adam K. Kochanski; Angel Farguell; James Haley; Derek V. Mallia; Kyle Hilburn (UrgentHPC@SC, 2019)

Development and Interpretation of a Neural Network-Based Synthetic Radar Reflectivity Estimator Using GOES-R Satellite Observations. - Kyle A. Hilburn; Imme Ebert-Uphoff; Steven D. Miller (CoRR, 2020)

Evaluation, Tuning and Interpretation of Neural Networks for Meteorological Applications. - Imme Ebert-Uphoff; Kyle A. Hilburn (CoRR, 2020)

Simple finite elements and multigrid for efficient mass-consistent wind downscaling in a coupled fire-atmosphere model. - Jan Mandel; Angel Farguell; Adam K. Kochanski; Derek V. Mallia; Kyle Hilburn (CoRR, 2021)

CIRA Guide to Custom Loss Functions for Neural Networks in Environmental Sciences - Version 1. - Imme Ebert-Uphoff; Ryan Lagerquist; Kyle Hilburn; Yoonjin Lee; Katherine Haynes; Jason Stock; Christina Kumler; Jebb Q. Stewart (CoRR, 2021)

Machine Learning Estimation of Fire Arrival Time from Level-2 Active Fires Satellite Data. - Angel Farguell; Jan Mandel; James Haley; Derek V. Mallia; Adam K. Kochanski; Kyle Hilburn (Remote. Sens., 2021)

Tools for Extracting Spatio-Temporal Patterns in Meteorological Image Sequences: From Feature Engineering to Attention-Based Neural Networks. - Akansha Singh Bansal; Yoonjin Lee; Kyle Hilburn; Imme Ebert-Uphoff (CoRR, 2022)

Precipitation Retrieval Using ABI and GLM Measurements on the Goes-R Series. - Yifan Yang; Alexander C. Hu; Haonan Chen 001; Kyle A. Hilburn (IGARSS, 2023)

Building a Fuel Moisture Model for the Coupled Fire-Atmosphere Model WRF-SFIRE from Data: From Kalman Filters to Recurrent Neural Networks. - Jan Mandel; J. Hirschi; Adam K. Kochanski; Angel Farguell; James Haley; Derek V. Mallia; Bryan Shaddy; Assad A. Oberai; Kyle A. Hilburn (CoRR, 2023)

Generative Algorithms for Fusion of Physics-Based Wildfire Spread Models with Satellite Data for Initializing Wildfire Forecasts. - Bryan Shaddy; Deep Ray; Angel Farguell; Valentina Calaza; Jan Mandel; James Haley; Kyle Hilburn; Derek V. Mallia; Adam K. Kochanski; Assad A. Oberai (CoRR, 2023)

Deep Learning for Precipitation Retrievals Using ABI and GLM Measurements on the GOES-R Series. - Yifan Yang; Haonan Chen 001; Kyle A. Hilburn; Robert J. Kuligowski; Robert Cifelli (IEEE Trans. Geosci. Remote. Sens., 2023)

SRViT: Vision Transformers for Estimating Radar Reflectivity from Satellite Observations at Scale. - Jason Stock; Kyle Hilburn; Imme Ebert-Uphoff; Charles W. Anderson (CoRR, 2024)

Generative Algorithms for Wildfire Progression Reconstruction from Multi-Modal Satellite Active Fire Measurements and Terrain Height. - Bryan Shaddy; Brianna Binder; Agnimitra Dasgupta; Haitong Qin; James Haley; Angel Farguell; Kyle Hilburn; Derek V. Mallia; Adam K. Kochanski; Jan Mandel; Assad A. Oberai (CoRR, 2025)

Transparent Machine Learning: Training and Refining an Explainable Boosting Machine to Identify Overshooting Tops in Satellite Imagery. - Nathan Mitchell; Lander Ver Hoef; Imme Ebert-Uphoff; Kristina Moen; Kyle Hilburn; Yoonjin Lee; Emily J. King (CoRR, 2025)