Publications

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WRF-Fire description

The WRF-Fire code is described in these papers.

Journal papers

  • Vincent Herr, Adam Kochanski, Van Miller, Rich McCrea, Dan O’Brien, and Jan Mandel, 2019. A method for estimating the socioeconomic impact of Earth observations in wildland fire suppression decisions, International Journal of Wildland Fire, accepted, 2019
  • Yongqiang Liu, Adam Kochanski, Kirk Baker, William Mell, Rodman Linn, Ronan Paugam, Jan Mandel, Aime Fournier, Mary Ann Jenkins, Scott Goodrick, Gary Achtemeier, Fengjun Zhao, Roger Ottmar, Nancy French, Narasimhan Sim Larkin, Tim Brown, Andrew Hudak, Matthew Dickinson, Brian Potter, Craig Clements, Shawn Urbanski, Susan Prichard, Adam Watts, and Derek McNamara, 2019. Fire behavior and smoke modeling: Model improvement and measurement needs for next-generation operational smoke prediction systems, International Journal of Wildland Fire, accepted, 2019
  • Adam Kochanski, Derek Mallia, Matthew Fearon, Jan Mandel, Amir Souri, and Timothy Brown, 2019. Modeling wildfire smoke feedback mechanisms using a coupled fire-atmosphere model with a radiatively active aerosol scheme, J. Geophys. Res. Atmospheres, accepted, 2019
  • C. B. Clements, A. K. Kochanski, D. Seto, B. Davis, C. Camacho, N. P. Lareau, J. Contezac, J. Restaino, W. E. Heilman, S. K. Krueger, B. Butler, R. D. Ottmar, R. Vihnanek, J. Flynn, J.-B. Filippi, T. Barboni, D. E. Hall, J. Mandel, M. A. Jenkins, J. O’Brien, B. Hornsby, and C. Teske, 2019. The FireFlux II experiment: a model-guided field experiment to improve understanding of fire-atmosphere interactions and fire spread, International Journal of Wildland Fire, 28, 308–326, 2019, doi:10.1071/WF18089
  • A. K. Kochanski, A. Fournier, and J. Mandel, 2018. Experimental Design of a Prescribed Burn Instrumentation, Atmosphere, 9, 296, 2018, doi:10.3390/atmos9080296
  • M. Vejmelka, A. K. Kochanski, and J. Mandel, 2016. Data assimilation of dead fuel moisture observations from remote automated weather stations, International Journal of Wildland Fire, 25, 558-568, 2016, doi:10.1071/WF14085
  • Kochanski, Adam K., Jenkins, Mary Ann, Yedinak, Kara, Mandel, Jan, Beezley, Jonathan, Lamb, Brian, 2015. Toward an integrated system for fire, smoke and air quality simulations, International Journal of Wildland Fire, 25, 534-546, 2016, doi:10.1071/WF14074
  • Coen, J., M. Cameron, J. Michalakes, E. Patton, P. Riggan, and K. Yedinak, 2013: WRF-Fire: Coupled Weather-Wildland Fire Modeling with the Weather Research and Forecasting Model. J. Appl. Meteor. Climatol. 52, 16-38, doi:10.1175/JAMC-D-12-023.1.
  • Jan Mandel, Jonathan D. Beezley, Janice L. Coen, and Minjeong Kim, Data Assimilation for Wildland Fires: Ensemble Kalman filters in coupled atmosphere-surface models, IEEE Control Systems Magazine 29, Issue 3, June 2009, 47-65. doi:10.1109/MCS.2009.932224. Preprint available as arXiv:0712.3965.

Conference papers

  • Mandel, J., M. Vejmelka, A. K. Kochanski, A. Farguell, J. D. Haley, D. V. Mallia, and K. Hilburn. An interactive data-driven HPC system for forecasting weather, wildland fire, and smoke. In Proceedings of UrgentHPC: The first international workshop on HPC for urgent decision making, pages 35–44. IEEE, 2019. Supercomputing 2019, Denver, CO. doi:10.1109/UrgentHPC49580.2019.00010
  • Haley, J., A. Farguell Caus, J. Mandel, A. K. Kochanski, and S. Schranz. Data likelihood of active fires satellite detection and applications to ignition estimation and data assimilation. In D. X. Viegas, editor, Advances in Forest Fire Research. University of Coimbra Press, 2018. Accepted. Available at https://arxiv.org/abs/1808.03318, July 2018.
  • Kochanski, A., D. V. Mallia, M. Fearon, T. Brown, J. Mandel, and J. K. Vaughan. Do we need weather prediction models to account for local weather modifications by wildland fires?. In Advances in Forest Fire Research, D. X. Viegas (Ed.), University of Coimbra Press, 2018. Accepted.
  • Kochanski, A.K., J. Mandel, M. Vejmelka, D. Burke, L. Hearn, J. Haley, A. Farguell Caus, and S. Schranz. An integrated system for coupled fire-atmosphere-smoke forecasting: current capabilities and plans for the future. In D. X. Viegas, editor, Advances in Forest Fire Research. University of Coimbra Press, 2018. Accepted.
  • Farguell Caus, A., J. Haley, A. K. Kochanski, A. Cortés Fité, and J. Mandel. Assimilation of fire perimeters and satellite detections by minimization of the residual in a fire spread model. Lecture Notes in Computer Science, 10861:711–723, 2018. Proceedings ICCS 2018, Part II. doi:10.1007/978-3-319-93701-4_56
  • Mandel, J., A. K. Kochanski, M. Vejmelka, and J. D. Beezley, Data assimilation of satellite fire detection in coupled atmosphere-fire simulations by WRF-SFIRE. Advances in Forest Fire Research, D. X. Viegas, ed., Coimbra University Press, 716–724, 2014. doi:10.14195/978-989-26-0884-6_80
  • Kochanski, A. K., J. D. Beezley, M. A. Jenkins, M. Vejmelka, and J. Mandel, An integrated approach to fire emission forecasting. Advances in Forest Fire Research, D. X. Viegas, ed., Coimbra University Press, 626–634, 2014. doi:10.14195/978-989-26-0884-6_71
  • Clements, C. B., B. Davis, D. Seto, J. Contezac, A. Kochanski, J.-B. Filippi, N. Lareau, T. Barboni, B. Butler, S. Krueger, R. Ottmar, R. Vihnanek, W. Heilman, M. A. Jenkins, J. Mandel, C. Teske, D. Jimenez, J. O’brien, and B. Lefer. Overview of the 2013 FireFlux-II grass fire field experiment. Advances in Forest Fire Research, D. X. Viegas, ed., Coimbra University Press, 392–400, 2014. doi:10.14195/978-989-26-0884-6_43
  • Jonathan D. Beezley, Importing high-resolution datasets into Geogrid, 12th Annual WRF User's Workshop, Boulder, CO, June 2011. pdf local copy poster

Users' guides

  • For the earlier version included in WRF release: Wang, W., Bruyere, C., Duda, M., Dudhia, J., Gill, D., Lin, H.C., Michalakes, J., Rizvi, S., Zhang, X., Beezley, J.D., Coen, J.L., Mandel, J. ARW version 3 modeling system user’s guide. Mesoscale & Miscroscale Meteorology Division, National Center for Atmospheric Research (July 2010, last updated January 2012)

Other WRF-Fire publications, applications, case studies

These publications deal with various aspects related to WRF-Fire, or report on its use and specific simulations.

Journal papers

  • A. H. Souri, Y. Choi, W. Jeon, A. K. Kochanski, L. Diao, J. Mandel, P. V. Bhave, and S. Pan, 2017. Quantifying the impact of biomass burning emissions on major inorganic aerosols and their precursors in the US, Journal of Geophysical Research: Atmospheres, 122, 21, 12,020–12,041, 2017, doi:10.1002/2017JD026788
  • Colin C. Simpson, Jason J. Sharples, Jason P. Evans, and Matthew F. McCabe, Large eddy simulation of atypical wildland fire spread on leeward slopes, International Journal of Wildland Fire 22, 599-614, 2013 doi:10.1071/WF12072

Theses

  • Ivan Kasanicky, Ensemble Kalman filter on high and infinite dimensional spaces, PhD thesis, Charles University Prague, 2017.
  • Nina Dobrinkova, Information systems for simulating the behavior of forest and field fires, PhD Thesis, Bulgarian Academy of Sciences, 2012

Conference papers

  • Nina Dobrinkova, Stefka Fidanova, Ivan Dimov, Krasimir Atanasov, and Jan Mandel, Game-Method Model And WRF-Fire Model Working Together, in Monte Carlo Methods and Applications, A. Sabelfeld and I. Dimov, eds., De Gruyter, Berlin, 2012, pp. 79--86, doi:10.1515/9783110293586.79
  • Kondratenko, Volodymyr Y., Jonathan D. Beezley, Adam K. Kochanski, and Jan Mandel, Ignition from a Fire Perimeter in a WRF Wildland Fire Model, 12th Annual WRF User's Workshop, Boulder, CO, June 2011. pdf arXiv:1107.2675 presentation
  • Nina Dobrinkova, Georgi Jordanov, and Jan Mandel, WRF-Fire Applied in Bulgaria, Numerical Methods and Applications, I. Dimov, S. Dimova, and N. Kolkovska, eds., Lecture Notes in Computer Science 6046, Springer, Berlin/Heidelberg, 2011, pp. 133-140. Proceedings of 7th International Conference on Numerical Methods and Applications - NM&A'10, August 20 - 24, 2010, Borovets, Bulgaria. doi:10.1007/978-3-642-18466-6_15. Preprint arXiv:1007.5347, July 2010.
  • Janice L. Coen and Craig C. Douglas, Computational Modeling of Large Wildfires: A Roadmap., 9th International Symposium on Distributed Computing and Applications to Business, Engineering & Science. Accepted. preprint

Posters

  • Derek Vincent Mallia, Adam Kochanski, Shawn P Urbanski, Jan Mandel, Steven K. Krueger, The importance of resolving small-scale processes and their impacts on large-scale smoke plume dynamics, AGU Fall Meeting, San Francisco, CA, December 10, 2019.


  • RuShan Gao, Troy D Thornberry, Karen Hepler Rosenlof, Brian M. Argrow, Cory Dixon, Jack Steward Elston, Jan Mandel, Adam Kochanski, A43J­06: The Nighttime Fire Observations eXperiment (NightFOX) ­ UAS wildfire measurements for air quality, fire weather forecasting, and satellite validations, AGU Fall Meeting, Washington DC, December 10-14, 2018
  • Steven K Krueger, Brian Bailey, Mary Ann Jenkins, Adam Kochanski, Derek V. Mallia, Jan Mandel, Eric Pardyjak, Rob Stoll, Natalie S Wagenbrenner, Peter Willemsen, NH31C­1005: A fast­response wildland fire modeling framework for prediction and risk assessment, AGU Fall Meeting, Washington DC, December 10-14, 2018
  • J. Mandel, A. Kochanski, J. Haley, A. Farguell, M. Vejmelka, S. Schranz, EP33E­2482: WRFx: An Online Data-Driven Coupled Atmosphere-Fire Modeling System with Automated Acquisition and Assimilation of Satellite Active Fires Detection and RAWS Fuel Moisture Data, Poster, AGU Fall Meeting, Washington DC, December 10-14, 2018
  • J. Mandel, A. K. Kochanski, E. A. Ellicot, J. Haley, L. Hearn, A. Farguell, K. Hilburn, NH23C­0859: Retrieving Fire Perimeters and Ignition Points of Large Wildfires from Satellite Observations, Poster, AGU Fall Meeting, Washington DC, December 10-14, 2018
  • Jan Mandel, Adam Kochanski, Sher Schranz, and Martin Vejmelka. Coupled Fire­Atmosphere­Fuel Moisture Online Modeling System WRF­SFIRE. Poster, Fire Prediction Across Scales, Columbia University, New York, NY, October 23 — October 25, 2017
  • Adam Kochanski, Vincent Herr, Jan Mandel, Van Miller, Richard McCrea, Dan O’Brien, An analysis of socio-economic impact of fire modeling and fire detection data, Poster, Fire Prediction Across Scales, Columbia University, New York, NY, October 23 — October 25, 2017
  • Van V. Miller, Adam Kochanski, Jan Mandel, Vince Herr, Sher Schranz, Using Earth Observations to Assess the Socioeconomic Impact of Human Decision Making during the Suppression of a Wildland Fire, 2016 AGU Fall Meeting, San Francisco, December 12-16, 2016, PA33C-2244, abstract File:Van-Miller-AGU16-poster.pdf
  • Adam K. Kochanski, S. K. Krueger , M. A. Jenkins, J. Mandel and J. D. Beezley, Real time simulation of 2007 Santa Ana fires, Exploring the Mega-fire Reality 2011.
  • Jan Mandel, Jonathan D. Beezley, Adam K. Kochanski, Volodymyr Y. Kondratenko, Bedrich Sousedik, Erik Anderson, and Joel Daniels, Wildland fire simulation by WRF-Fire, AGU Fall Meeting, 2010
  • Kara Yedinak, Brian Lamb, Janice Coen, Sensitivity Analyses of Ignition Area and Fire-Atmosphere Dynamics using WRF-FIRE, 8th Symposium on Fire & Forest Meteorology, American Meteorological Society, Kalispell. Oct 13-15, 2009.

Presentations

Other publications from this project

Here are publications and presentations, not dealing directly with the WRF-Fire code.
  • Jonathan D. Beezley, Jan Mandel, and Loren Cobb, Wavelet Ensemble Kalman Filters, Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS'2011), Prague, September 15-17, 2011, 514-518, 2011
  • A.N.M. I. Choudhury and P. Rosen. Cache ensemble analysis for understanding algorithmic memory performance. In submission to IEEE Computer, 2012.
  • Janice L. Coen and Craig C. Douglas, Computational Modeling of Large Wildfires: A Roadmap., 9th International Symposium on Distributed Computing and Applications to Business, Engineering & Science. Accepted. preprint
  • Janice Coen, Some new basics of fire behavior, Fire Management Today, In Press. pdf
  • Janice Coen, 2010: Dry lightning. Southern California Fire Journal, Spring 2010, 18-23.
  • Janice Coen, 2008: Deadly fingers of flame. Southern California Fire Journal. 1(1):5-6.
  • Jonathan D. Beezley and Jan Mandel, Morphing Ensemble Kalman Filters, Tellus 60A, 131-140, 2008 arXiv:0705.3693
  • C. Yang, I. Jensen, P. Rosen. A Multiscale Approach to Network Event Identification using Geolocated Twitter Data. In submission to IMC Workshop on Internet Visualization, 2012.

Earlier publications (before 2008)

Here are some related publications and presentations from our previous work.
  • Jan Mandel, Jonathan D. Beezley, Lynn S. Bennethum, Soham Chakraborty, Janice L. Coen, Craig C. Douglas, Jay Hatcher, Minjeong Kim, and Anthony Vodacek, A Dynamic Data Driven Wildland Fire Model, ICCS 2007, Part I, Yong Shi, G. D. van Albada, P. M. A. Sloot and J. J. Dongarra (Eds), Lecture Notes in Computer Science 4487, 1042--1049, Springer, 2007. Presentation
  • Jan Mandel, Lynn S. Bennethum, Mingshi Chen, Janice L. Coen, Craig C. Douglas, Leopoldo P. Franca, Craig J. Johns, Minjeong Kim, Andrew V. Knyazev, Robert Kremens, Vaibhav Kulkarni, Guan Qin, Anthony Vodacek, Jianjia Wu, Wei Zhao, and Adam Zornes, Towards a Dynamic Data Driven Application System for Wildfire Simulation V.S. Sunderam et al. (Eds.): Computational Science - Proceedings ICCS'2005, Lecture Notes in Computer Science 3515, pp. 632-639, 2005.
  • Craig C. Douglas, Jonathan D. Beezley, Janice Coen, Deng Li, Wei Li, Alan K. Mandel, Jan Mandel, Guan Qin, and Anthony Vodacek, Demonstrating the Validity of Wildfire DDDAS, Computational Science - ICCS 2006: 6th International Conference, Reading, UK, May 28-31, 2006, Proceedings, Part III, Vassil N. Alexandrov, Dick van Albada, Dick Geert and Peter M. A. Sloot and Jack Dongarra (Eds.), Lecture Notes in Computer Science 3993, Springer 2006, pp. 522-529.
  • J. Mandel, M. Chen, L.P. Franca, C. Johns, A. Puhalskii, J.L. Coen, C.C. Douglas, R. Kremens, A. Vodacek, W. Zhao, A Note on Dynamic Data Driven Wildfire Modeling, Computational Science - Proceedings ICCS'2004, vol. III, edited by Marian Bubak, G.Dick van Albada, Peter M.A. Sloot, Jack J. Dongarra, Lecture Notes in Computer Science 3038, Springer, pp. 725-731. Copyright Springer 2004. book, PDF 150K

See also

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