Kyle Hilburn

According to our database, Kyle Hilburn authored at least 17 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Deep Learning for Precipitation Retrievals Using ABI and GLM Measurements on the GOES-R Series.

Yifan Yang, Haonan Chen, Kyle A. Hilburn, Robert J. Kuligowski, Robert Cifelli

IEEE Trans. Geosci. Remote. Sens., 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

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, J. Haley, Derek V. Mallia, Bryan Shaddy, Assad A. Oberai, Kyle A. Hilburn

CoRR, 2023

Precipitation Retrieval Using ABI and GLM Measurements on the Goes-R Series.

Yifan Yang, Alexander C. Hu, Haonan Chen, Kyle A. Hilburn

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

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

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

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

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

2020

Evaluation, Tuning and Interpretation of Neural Networks for Meteorological Applications.

Imme Ebert-Uphoff, Kyle A. Hilburn

CoRR, 2020

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

2019

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

Proceedings of the 2019 IEEE/ACM HPC for Urgent Decision Making, 2019

2018

Tropical Cyclone Rainfall Estimates from FY-3B MWRI Brightness Temperatures Using the WS Algorithm.

Ruanyu Zhang, Zhenzhan Wang, Kyle A. Hilburn

Remote. Sens., 2018

2016

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

2014

Upper ocean salinity stratification and rain freshening in the tropics observed from Aquarius.

Thomas Meissner, Frank Wentz, Joel Scott, Kyle Hilburn

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2012

The Aquarius salinity retrieval algorithm.

Thomas Meissner, Frank Wentz, Kyle Hilburn, Gary S. E. Lagerloef, David M. Le Vine

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011

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

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

2003

Rain effects on SeaWinds data.

Kyle Hilburn, Frank Wentz, Carl A. Mears

Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003