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Angel Farguell
Angel Farguell
Post-Doctoral Fellow
Verified email at ucdenver.edu - Homepage
Title
Cited by
Cited by
Year
Evaluating wildfire smoke transport within a coupled fire‐atmosphere model using a high‐density observation network for an episodic smoke event along Utah's Wasatch Front
DV Mallia, AK Kochanski, KE Kelly, R Whitaker, W Xing, LE Mitchell, ...
Journal of Geophysical Research: Atmospheres 125 (20), e2020JD032712, 2020
282020
Incorporating a canopy parameterization within a coupled fire-atmosphere model to improve a smoke simulation for a prescribed burn
DV Mallia, AK Kochanski, SP Urbanski, J Mandel, A Farguell, SK Krueger
Atmosphere 11 (8), 832, 2020
192020
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
Scalability of a multi-physics system for forest fire spread prediction in multi-core platforms
A Farguell, A Cortés, T Margalef, JR Miró, J Mercader
The Journal of Supercomputing 75 (3), 1163-1174, 2019
102019
Data resolution effects on a coupled data driven system for forest fire propagation prediction
À Farguell, A Cortés, T Margalef, JR Miró, J Mercader
Procedia Computer Science 108, 1562-1571, 2017
82017
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
Using Satellite‐Derived Fire Arrival Times for Coupled Wildfire‐Air Quality Simulations at Regional Scales of the 2020 California Wildfire Season
W Lassman, JD Mirocha, RS Arthur, AK Kochanski, A Farguell Caus, ...
Journal of Geophysical Research: Atmospheres 128 (6), e2022JD037062, 2023
52023
Analysis of fire-induced circulations during the FireFlux2 experiment
JT Benik, A Farguell, JD Mirocha, CB Clements, AK Kochanski
Fire 6 (9), 332, 2023
22023
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
Reducing Data Uncertainty in Surface Meteorology Using Data Assimilation: A Comparison Study
A Farguell, J Moré, A Cortés, JR Miró, T Margalef, V Altava
Procedia Computer Science 80, 1846-1855, 2016
22016
Analysis of methods for assimilating fire perimeters into a coupled fire-atmosphere model
AK Kochanski, K Clough, A Farguell, DV Mallia, J Mandel, K Hilburn
Frontiers in Forests and Global Change 6, 1203578, 2023
12023
Simple finite elements and multigrid for efficient mass-consistent wind downscaling in a coupled fire-atmosphere model
J Mandel, A Farguell, AK Kochanski, DV Mallia, K Hilburn
arXiv preprint arXiv:2101.08453, 2021
12021
Modeling wildland fire behaviour using a multi-physics system on hpc platforms
À Farguell
12019
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
Advances in forest fire research 2018, 959-968, 2018
12018
Corrigendum: A live fuel moisture climatology in California
JR Drucker, A Farguell, CB Clements, AK Kochanski
Frontiers in Forests and Global Change 7, 1418693, 2024
2024
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
Integrating WRF-SFIRE-CHEM in NASA Unified WRF (NUWRF)
J Mandel, M Halem, C Da, A Kochanski, A Farguell, M Weldegaber, ...
104th AMS Annual Meeting, 2024
2024
A Machine Learning Rate of Spread Model in WRF-SFIRE
A Farguell, J Drucker, J Mandel, A Kochanski
104th AMS Annual Meeting, 2024
2024
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