Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 10
Articles | Volume 15, issue 10
https://doi.org/10.5194/gmd-15-4027-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-4027-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 10
Model description paper
 | 
24 May 2022
Model description paper |  | 24 May 2022

An emergency response model for the formation and dispersion of plumes originating from major fires (BUOYANT v4.20)

Jaakko Kukkonen, Juha Nikmo, Kari Riikonen, Ilmo Westerholm, Pekko Ilvessalo, Tuomo Bergman, and Klaus Haikarainen

Data sets

RxCADRE 2011 and 2012: Wildfire Airborne Sensor Program long wave infrared calibrated image mosaics A. T. Hudak, B. C. Bright, R. L. Kremens, and M. B. Dickinson https://doi.org/10.2737/RDS-2016-0008

RxCADRE 2012: Rx-CADRE 2012: In-situ fire behavior measurements D. M. Jimenez, and B. Butler https://doi.org/10.2737/RDS-2016-0038

RxCADRE 2012: CSU-MAPS background wind, temperature, RH, and pressure time series data D. Seto and C. B. Clements https://doi.org/10.2737/RDS-2015-0027

RxCADRE 2012: CSU-MAPS wind LiDAR velocity and microwave temperature/relative humidity profiler data D. Seto and C. B. Clements https://doi.org/10.2737/RDS-2015-0026

RxCADRE 2012: Airborne measurements of smoke emission and dispersion from prescribed fires S. P. Urbanski https://doi.org/10.2737/RDS-2014-0015

Model code and software

An emergency response model for evaluating the formation and dispersion of plumes originating from major fires (BUOYANT v4.20) J. Kukkonen, J. Nikmo, and K. Riikonen https://doi.org/10.5281/zenodo.4744300

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Short summary
A mathematical model has been developed for the dispersion of plumes originating from major fires. We have refined the model for the early evolution of the fire plumes; such a module has not been previously presented. We have evaluated the model against experimental field-scale data. The predicted concentrations agreed well with the aircraft measurements. We have also compiled an operational version of the model, which can be used for emergency contingency planning in the case of major fires.
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