| 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 | 21 | 2021 |
| 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 | 17 | 2019 |
| 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 | 6 | 2018 |
| 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 3 (3), e230087, 2024 | 4 | 2024 |
| 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 | 2 | 2018 |
| Assimilation of Satellite Active Fires Data JD Haley University of Colorado at Denver, 2021 | 1 | 2021 |
| Coupled fire-atmosphere-smoke forecasting: current capabilities and plans for the future AK Kochanski, J Mandel, M Vejmelka, D Burke, L Hearn, J Haley, ... Advances in Forest Fire Research 2018, 2018 | 1 | 2018 |
| 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 | 1 | 2018 |
| Utilization of Satellite-derived Information for Improved Wildland Fire Behavior Forecasting J Haley, KA Hilburn, A Farguell 105th AMS Annual Meeting, 2025 | | 2025 |
| Enhanced Fire Detection and Simulation Using Multi-Satellite Data Assimilation and CYGNSS Reflectometry in the Coupled Atmosphere-Fire Model WRF-SFIRE J Mandel, B Tumi, SA Taleghan, A Farguell, J Haley, A Kannan, ... AGU24, 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, DVV 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 |
