| 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 | 26 | 2020 |
| 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 | 18 | 2021 |
| 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 | 18 | 2020 |
| 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 | 12 | 2019 |
| 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 | 9 | 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 |
| 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 | 6 | 2017 |
| 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 | 3 | 2023 |
| Analysis of Fire-Induced Circulations during the FireFlux2 Experiment JT Benik, A Farguell, JD Mirocha, CB Clements, AK Kochanski Fire 6 (9), 332, 2023 | 2 | 2023 |
| 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 |
| 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 | 2 | 2016 |
| 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 | 1 | 2023 |
| 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 | 1 | 2021 |
| Modeling wildland fire behaviour using a multi-physics system on hpc platforms À Farguell | 1 | 2019 |
| 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 | 1 | 2018 |
| Analyzing Wildfire Smoke: Impacts on Air Quality Using a Fire--Atmosphere Model. DV Mallia, AK Kochanski, A Farguell, K Kelly, J Mandel Bulletin of the American Meteorological Society 104 (10), 779-781, 2023 | | 2023 |
| 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, ... arXiv preprint arXiv:2309.02615, 2023 | | 2023 |
| A live fuel moisture climatology in California JR Drucker, A Farguell, CB Clements, AK Kochanski Frontiers in Forests and Global Change 6, 1203536, 2023 | | 2023 |
| A Fast Fire Rate of Spread Model Leveraging Machine Learning A Kochanski, A Farguell, J Drucker, J Mandel 35th Conference on Agricultural and Forest Meteorology/14th Fire and Forest …, 2023 | | 2023 |
| Remote Sensing of Live Fuel Moisture Content Using Machine Learning A Farguell, A Kochanski, J Drucker, Y Moon, C Bowers, D Pina, C Arends, ... 35th Conference on Agricultural and Forest Meteorology/14th Fire and Forest …, 2023 | | 2023 |
Jan MandelProfessor of Mathematical and Statistical Sciences, University of Colorado DenverVerified email at ucdenver.edu
