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James Haley
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Machine learning estimation of fire arrival time from level-2 active fires satellite data
A Farguell, J Mandel, J Haley, DV Mallia, A Kochanski, K Hilburn
Remote Sensing 13 (11), 2203, 2021
182021
An interactive data-driven HPC system for forecasting weather, wildland fire, and smoke
J Mandel, M Vejmelka, A Kochanski, A Farguell, J Haley, D Mallia, ...
2019 IEEE/ACM HPC for Urgent Decision Making (UrgentHPC), 35-44, 2019
132019
Assimilation of fire perimeters and satellite detections by minimization of the residual in a fire spread model
A Farguell Caus, J Haley, AK Kochanski, AC Fité, J Mandel
Computational Science–ICCS 2018: 18th International Conference, Wuxi, China …, 2018
62018
Retrieving Fire Perimeters and Ignition Points of Large Wildfires from Satellite Observations
J Mandel, A Kochanski, EA Ellicott, J Haley, A Farguell, L Hearn, ...
AGU Fall Meeting Abstracts 2018, NH23C-0859, 2018
22018
Data likelihood of active fires satellite detection and applications to ignition estimation and data assimilation
J Haley, AF Caus, AK Kochanski, S Schranz, J Mandel
arXiv preprint arXiv:1808.03318, 2018
12018
Generative Algorithms for Fusion of Physics-Based Wildfire Spread Models with Satellite Data for Initializing Wildfire Forecasts
B Shaddy, D Ray, A Farguell, V Calaza, J Mandel, J Haley, K Hilburn, ...
Artificial Intelligence for the Earth Systems, 2024
2024
A Fuel Moisture Model for WRF-SFIRE from HRRR and RAWS Data by a Physics-Initialized Recurrent Neural Network
J Mandel, J Hirschi, A Kochanski, A Farguell, DV Mallia, B Shaddy, ...
104th AMS Annual Meeting, 2024
2024
Utilization of Satellite-derived Information for Improved Wildland Fire Behavior Forecasting
KA Hilburn, J Haley
104th AMS Annual Meeting, 2024
2024
Machine Learning for Fuel Moisture in Time and Space, Dead or Live
J Mandel, J Hirschi, A Kochanski, AF Caus, J Haley, DV Mallia, B Shaddy, ...
35th Conference on Agricultural and Forest Meteorology/14th Fire and Forest …, 2023
2023
Deep-Learning Based Fusion of Satellite Data with Physics-Based Models for Initializing Wildfire Forecast
AA Oberai, B Shaddy, V Calaza, A Farguell, J Haley, K Hillburn, DV Mallia, ...
35th Conference on Agricultural and Forest Meteorology/14th Fire and Forest …, 2023
2023
Sensitivity of the WRF-SFIRE Model to Changes in Fuel Moisture Content
J Haley, KA Hilburn, A Farguell, J Mandel, A Kochanski
35th Conference on Agricultural and Forest Meteorology/14th Fire and Forest …, 2023
2023
Building a fuel moisture model for the coupled fire-atmosphere model WRF-SFIRE from data: From Kalman filters to recurrent neural networks
J Mandel, J Hirschi, AK Kochanski, A Farguell, J Haley, DV Mallia, ...
arXiv preprint arXiv:2301.05427, 2023
2023
Building a Fuel Moisture Model from Data: From Kalman Filters to Recurrent Neural Networks
J Mandel, AK Kochanski, A Farguell, J Haley, B Shaddy, AA Oberai, ...
103rd AMS Annual Meeting, 2023
2023
Interpolating Satellite Active Fire Detections Using Unsupervised Learning Methods and a Shortest Path Algorithm
J Haley, J Mandel, KA Hilburn, A Kochanski, A Farguell
103rd AMS Annual Meeting, 2023
2023
A Workflow for Initializing Wildfires in WRF-SFIRE for Real-Time Forecasting
KA Hilburn, A Kochanski, A Farguell, J Mandel, J Haley
103rd AMS Annual Meeting, 2023
2023
Deep-Learning Based Estimation of the Initial Atmospheric State for Wildfire Prediction
B Shaddy, D Ray, I Asareh, A Farguell, J Haley, KA Hilburn, DVV Mallia, ...
103rd AMS Annual Meeting, 2023
2023
A systematic review and meta-analysis assessing the effectiveness of physical activity behaviour change interventions in adults with spinal cord injury
J Haley, D Rhind, V Tolfrey, D Maidment
Journal of Exercise, Movement, and Sport (SCAPPS refereed abstracts …, 2022
2022
Assimilation of Satellite Active Fires Data
JD Haley
University of Colorado at Denver, 2021
2021
Fire arrival time estimation from satellite observations using machine learning
A Farguell, J Haley, K Hilburn, A Kochanski, DV Mallia, J Mandel
AGU Fall Meeting Abstracts 2020, IN038-06, 2020
2020
Assimilation of satellite fire detections in coupled atmosphere-fire model WRF-SFIRE by machine learning
A Farguell, J Mandel, J Haley, K Bergstrom, A Kochanski, KA Hilburn, ...
AGU Fall Meeting Abstracts 2019, NG21B-0950, 2019
2019
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