Real time simulation of 2007 Santa Ana fires

Forest Ecology and Management

Volumn 294, Issue , 2013, Pages 136-149

  Kochanski, A K ^a   Jenkins, M A ^b   Mandel, J ^c   Beezley, J D ^d   Krueger, S K ^a  

^a UNIVERSITY OF UTAH   (United States)

^b York University   (Canada)

^c UNIVERSITY OF COLORADO   (United States)

^d CERFACS   (France)

Author keywords

Fire; Fire spread prediction; Forecasting; Modeling; Santa Ana; Wildfire

Indexed keywords

EXECUTION SPEED; FIRE SPREAD; MODEL COMBINATION; PHYSICS-BASED; REAL TIME SIMULATIONS; REASONABLE ACCURACY; SANTA ANA; WILDFIRE;

FORECASTING; MODELS; TRANSIENTS;

FIRES;

ACCURACY ASSESSMENT; ATMOSPHERIC MODELING; COMBUSTION; FEASIBILITY STUDY; FIRE BEHAVIOR; FORECASTING METHOD; NUMERICAL MODEL; PREDICTION; WILDFIRE;

CALIFORNIA; SANTA ANA [CALIFORNIA]; UNITED STATES;

EID: 84874972985     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foreco.2012.12.014     Document Type: Article

References (38)

1. Albini, F., 1976. Estimating Wildfire Behavior and Effects. Technical Report Report INT-30. USDA Forest Service, Intermountain Forest and Range Experiment Station, Ogden, UT.
2. Andrews, P., 1986. Behave: Fire Behavior Prediction and Fuel Modeling System - Burn Subsystem. Part 1. Technical Report General Technical Report INT-194. USDA Forest Service, Intermountain Forest and Range Experiment Station, Ogden, UT, 130 pp.
3. Beezley, J.D., Kochanski, A., Kondratenko, V.Y., Mandel, J., Sousedik, B., 2010. Simulation of the Meadow Creek Fire Using WRF-Fire, Poster at AGU Fall Meeting 2010. http://www.openwfm.org/wiki/File:Agu10jb.pdf.
4. Beezley, J.D., 2011. Importing High-Resolution Datasets into Geogrid. Paper P2, 12th WRF Users' Workshop. National Center for Atmospheric Research, June 20-24, 2011.
5. Beezley, J.D., Kochanski, A.K., Kondratenko V.Y., Mandel J., 2011. Integrating High-Resolution Static Data into WRF for Real Fire Simulations. Paper 6.3, Ninth Symposium on Fire and Forest Meteorology, Palm, Springs, October 2011.
6. Bossert, J.E., Linn, R.R., Reisner, J.M., Winterkamp, J.L., Dennison, P., Roberts, D., 2000. Coupled Atmosphere-Fire Behavior Model Sensitivity to Spatial Fuels Characterization. Third Symposium on Fire and Forest Meteorology of the American Meteorological Society, January 9-14, 2000, Long Beach, CA, pp. 21-26.
7. Clark T., Coen J., Latham D. Description of a coupled atmosphere-fire model. International Journal of Wildland Fire 2004, 13(1):49-63.
8. Clark R.E., Hope A.S., Tarantola S., Gatelli D., Dennison P.E., Moritz M.A. Sensitivity analysis of a fire spread model in a chaparral landscape. Fire Ecology 2008, 4(1):1-13.
9. Coen J.L. Simulation of the big Elk fire using coupled atmosphere-fire modeling. Journal of Wildland Fire 2005, 14:49-59.
10. Colman Jonah J., Linn R.R. Separating combustion from pyrolysis in HIGRAD/FIRETEC. International Journal of Wildland Fire 2007, 16(4):493-502. http://dx.doi.org/10.1071/WF06074.
11. Dobrinkova, N., Jordanov, G., Mandel, J., 2011. WRF-fire applied in Bulgaria. In: Dimov, I., Dimova, S., Kolkovska, N. (Eds.), Numerical Methods and Applications. Lecture Notes in Computer Science, vol. 6046. Springer, Berlin/Heidelberg, pp. 133-140. doi:10.1007/978-3-642-18466-615.
12. Fisher N.I., Lee A.J. A correlation coefficient for circular data. Biometrika 1983, 70(2):327-332. 10.1093/biomet/70.2.327.
13. Fosberg, Michael A., O'Dell, Clyde A., Schroeder, Mark J., 1966. Some characteristics of the three-dimensional structure of Santa Ana winds. Berkeley, Calif., Pacific SW. Forest & Range Exp. Sta. 35 pp., illus. (U.S. Forest Serv. Res. Paper PSW-30). http://www.fs.fed.us/psw/publications/documents/psw_rp030/psw_rp030.pdf.
14. Jammalamadaka S.R., Lund U.J. The effect of wind direction on ozone levels: a case study. Environmental and Ecological Statistics 2006, 13(3):287-298. dx.doi.org/DOI 10.1007/s10651-004-0012-7.
15. Jammalamadaka S.R., SenGupta A. Topics in Circular Statistics 2001, World Scientific, NJ.
16. Jolly W.M. Sensitivity of a surface fire spread model and associated fire behaviour fuel models to changes in live fuel moisture. International Journal of Wildland Fire 2007, 16:503-509.
17. Jordanov, G., Beezley, J.D., Dobrinkova, N., Kochanski, A.K., Mandel, J., Sousedík, B., 2011. Simulation of the 2009 Harmanli fire (Bulgaria), 8th International Conference on Large-Scale Scientific Computations, June 6-10, 2011, Sozopol, Bulgaria. Lecture Notes in Computer Science, Springer, to appear. arxiv:1106.4736.
18. Keeley J.E., Safford H., Fotheringham C.J., Franklin J., Moritz M. The 2007 southern California wildfires - lessons in complexity. Journal of Forestry 2009, 107:287-296.
19. Kochanski, A., Jenkins, M., Krueger, S. K., Mandel, J., Beezley, J. D., Clements, C.B., 2010. Evaluation of The Fire Plume Dynamics Simulated by WRF-Fire. Presentation at AGU Fall Meeting 2010. http://www.openwfm.org/wiki/File.
20. Linn R.R., Winterkamp J.L., Weise D.R., Edminster C. A numerical study of slope and fuel structure effects on coupled wildfire behaviour. International Journal of Wildland Fire 2010, 19:179-201.
21. Mandel J., Beezley J.D., Coen J.L., Kim M. Data assimilation for wildland fires: ensemble Kalman filters in coupled atmosphere-surface models. IEEE Control Systems Magazine 2009, 29:47-65. 10.1109/MCS.2009.932224.
22. Mandel J., Beezley J.D., Kochanski A.K. Coupled atmosphere-wildland fire modeling with WRF 3.3 and SFIRE 2011. Geoscientific Model Development 2011, 4:591-610.
23. Maranghides A., Mell W. A case study of a community affected by the Witch and Guejito wildland fires. Fire Technology 2011, 47(2):379-420.
24. Markowski P., Richardson Y. Mesoscale Meteorology in Midlatitudes 2010, Wiley-Blackwell. first ed.
25. Mell W., Jenkins M.A., Gould J., Cheney P. A physics based approach to modeling grassland fires. International Journal of Wildland Fire 2007, 16:1-22.
26. Papadopoulos G.D., Pavlidou F.-N. A comparative review of wildfire simulators. Systems Journal, IEEE 2011, 5(2):233-243. 10.1109/JSYST.2011.2125230.
27. Patton, E.G., Coen, J.L., 2004. WRF-Fire: A Coupled Atmosphere-Fire Module for WRF. Preprints of Joint MM5/Weather Research and Forecasting Model Users' Workshop, Boulder, CO, June 22-25, NCAR, pp. 221-223.
28. Peace, Mika, Mattner, T., Mills, G., 2011. The Kangaroo Island bushfires of 2007. A meteorological case study and WRF-fire simulation. In: Ninth Symposium on Fire and Forest Meteorology, Palm Springs, CA, October 18-20, 2011. http://ams.confex.com/ams/9FIRE/webprogram/Paper192200.html.
29. Rollins M.G. LANDFIRE: a nationally consistent vegetation, wildland fire, and fuel assessment. International Journal of Wildland Fire 2009, 18:235-249.
30. Rothermel, R.C., 1972. A Mathematical Model for Predicting Fire Spread in Wildland Fires. USDA Forest Service Research Paper INT-115.
31. Ryan K.C., Lee K.M., Rollins M.G., Zhu Z., Smith J., Johnson D. Landfire: National vegetation and fuel mapping for fire management planning. Forest Ecology and Management 2006, 234(15):S220. http://dx.doi.org/10.1016/j.foreco.2006.08.247, ISSN 0378-1127. .
32. Schroeder, M.J., 1964. Synoptic Weather Types Associated with Critical Fire Weather. USDA Forest Service, Pacific Southwest Research Station, Berkeley, CA. 492 p. http://www.dtic.mil/cgi-bin/GetTRDoc?AD=AD0449630.
33. Sedepian L. On the vertical extrapolation of mean wind power density. Journal of Applied Meteorology 1980, 19:488-493.
34. Skamarock, W.C., Klemp, J.B., Dudhia, J., Gill, D.O., Barker, D.M., Duda, M.G., Huang, X.-Y., Wang, W., Powers, J.G., 2008. A Description of the Advanced Research WRF version 3. NCAR Technical Note 475.
35. Sullivan A.L. Wildland surface fire spread modelling, 1990-2007: 1: Physical and quasi-physical models. International Journal of Wildland Fire 2009, 18:349-368.
36. Sun R., Krueger S.K., Jenkins M.A., Zulauf M.A., Charney J.J. The importance of fire-atmosphere coupling and boundary-layer turbulence to wildfire spread. International Journal of Wildland Fire 2009, 18:50-60.
37. Van Wagner, C.E., Pickett, T.L., 1985. Equations and FORTRAN Program for the Canadian Forest Fire Weather Index System. Canadian Forestry Service, Forestry Technical Report 33.
38. Weise, D.R., Chen, S.C., Riggan, P.J., Fujioka, F.M., 2007. Using High-Resolution Weather Data to Predict Fire Spread Using the FARSITE Simulator - A Case study in California Chaparral. In: 7th Symposium on Fire and Forest Meteorology, Oct. 22-25, 2007, Bar Harbor, ME. http://ams.confex.com/ams/pdfpapers/126873.pdf.