Coupled atmosphere-wildland fire modeling with WRF-Fire version 3.3 J Mandel, JD Beezley, AK Kochanski Geoscientific Model Development Discussions 4 (1), 497-545, 2011 | 301 | 2011 |
ARW version 3 modeling system user’s guide W Wang, C Bruyère, M Duda, J Dudhia, D Gill, HC Lin, J Michalakes, ... Chapter 3, 59-60, 2010 | 215 | 2010 |
A wildland fire model with data assimilation J Mandel, LS Bennethum, JD Beezley, JL Coen, CC Douglas, M Kim, ... Mathematics and Computers in Simulation 79 (3), 584-606, 2008 | 209 | 2008 |
Structured crowdsourcing enables convolutional segmentation of histology images M Amgad, H Elfandy, H Hussein, LA Atteya, MAT Elsebaie, LS Abo Elnasr, ... Bioinformatics 35 (18), 3461-3467, 2019 | 195 | 2019 |
On the convergence of the ensemble Kalman filter J Mandel, L Cobb, JD Beezley Applications of Mathematics 56 (6), 533-541, 2011 | 177 | 2011 |
The digital slide archive: a software platform for management, integration, and analysis of histology for cancer research DA Gutman, M Khalilia, S Lee, M Nalisnik, Z Mullen, J Beezley, ... Cancer research 77 (21), e75-e78, 2017 | 152 | 2017 |
Data assimilation for wildland fires J Mandel, JD Beezley, JL Coen, M Kim IEEE Control Systems Magazine 29 (3), 47-65, 2009 | 149 | 2009 |
Recent advances and applications of WRF–SFIRE J Mandel, S Amram, JD Beezley, G Kelman, AK Kochanski, ... Natural Hazards and Earth System Sciences 14 (10), 2829-2845, 2014 | 119 | 2014 |
Morphing ensemble Kalman filters JD Beezley, J Mandel Tellus A: Dynamic Meteorology and Oceanography 60 (1), 131-140, 2008 | 89 | 2008 |
Evaluation of WRF-SFIRE performance with field observations from the FireFlux experiment AK Kochanski, MA Jenkins, J Mandel, JD Beezley, CB Clements, ... Geoscientific Model Development 6 (4), 1109-1126, 2013 | 80 | 2013 |
ARW version 3 modeling system user’s guide. Mesoscale & Miscroscale Meteorology Division W Wang, C Bruyere, M Duda, J Dudhia, D Gill, HC Lin, J Michalakes, ... National Center for Atmospheric Research 312, 2010 | 79 | 2010 |
Real time simulation of 2007 Santa Ana fires AK Kochanski, MA Jenkins, J Mandel, JD Beezley, SK Krueger Forest Ecology and Management 294, 136-149, 2013 | 74 | 2013 |
Toward an integrated system for fire, smoke and air quality simulations AK Kochanski, MA Jenkins, K Yedinak, J Mandel, J Beezley, B Lamb International Journal of Wildland Fire 25 (5), 534-546, 2015 | 56 | 2015 |
A dynamic data driven wildland fire model J Mandel, JD Beezley, LS Bennethum, S Chakraborty, JL Coen, ... Computational Science–ICCS 2007: 7th International Conference, Beijing …, 2007 | 50 | 2007 |
Assimilation of perimeter data and coupling with fuel moisture in a wildland fire–atmosphere DDDAS J Mandel, JD Beezley, AK Kochanski, VY Kondratenko, M Kim Procedia Computer Science 9, 1100-1109, 2012 | 48 | 2012 |
An ensemble Kalman-particle predictor-corrector filter for non-Gaussian data assimilation J Mandel, JD Beezley Computational Science–ICCS 2009: 9th International Conference Baton Rouge …, 2009 | 45 | 2009 |
DDDAS approaches to wildland fire modeling and contaminant tracking CC Douglas, RA Lodder, RE Ewing, Y Efendiev, G Qin, J Coen, M Kritz, ... Proceedings of the 2006 winter simulation conference, 2117-2124, 2006 | 35 | 2006 |
Demonstrating the validity of a wildfire DDDAS CC Douglas, JD Beezley, J Coen, D Li, W Li, AK Mandel, J Mandel, G Qin, ... Computational Science–ICCS 2006: 6th International Conference, Reading, UK …, 2006 | 35 | 2006 |
Coupled atmosphere-wildland fire modeling with WRF 3.3 and SFIRE 2011, Geosci. Model Dev., 4, 591–610, doi: 10.5194 J Mandel, JD Beezley, AK Kochanski gmd-4-591-2011, 2011 | 32 | 2011 |
Data driven computing by the morphing fast Fourier transform ensemble Kalman filter in epidemic spread simulations J Mandel, JD Beezley, L Cobb, A Krishnamurthy Procedia Computer Science 1 (1), 1221-1229, 2010 | 29 | 2010 |