Supplementary material to "Wildfire smoke-plume rise: a simple energy balance parameterization"

Author(s):  
Nadya Moisseeva ◽  
Roland Stull
2020 ◽  
Author(s):  
Nadya Moisseeva ◽  
Roland Stull

Abstract. The buoyant rise and the resultant vertical distribution of wildfire smoke in the atmosphere have a strong influence on downwind pollutant concentrations at the surface. The amount of smoke injected vs. height is a key input into chemical transport models and smoke modelling frameworks. Due to scarcity of model evaluation data as well as inherent complexity of wildfire plume dynamics, smoke injection height predictions have large uncertainties. In this work we use a coupled fire-atmosphere model WRF-SFIRE configured in large eddy simulation (LES) mode to develop a synthetic plume dataset. Using this numerical data, we demonstrate that crosswind integrated smoke injection height for a fire of arbitrary shape and intensity can be modelled with a simple energy balance. We introduce two forms of updraft velocity scales that exhibit a linear dimensionless relationship with the plume vertical penetration distance through daytime convective boundary layers. Lastly, we use LES and prescribed burn data to constrain and evaluate the model. Our results suggest that the proposed simple parameterization of mean plume rise as a function of vertical velocity scale offers reasonable accuracy (30 m errors) at little computational cost.


2021 ◽  
Vol 21 (3) ◽  
pp. 1407-1425
Author(s):  
Nadya Moisseeva ◽  
Roland Stull

Abstract. The buoyant rise and the resultant vertical distribution of wildfire smoke in the atmosphere have a strong influence on downwind pollutant concentrations at the surface. The amount of smoke injected vs. height is a key input into chemical transport models and smoke modelling frameworks. Due to scarcity of model evaluation data as well as the inherent complexity of wildfire plume dynamics, smoke injection height predictions have large uncertainties. In this work we use the coupled fire–atmosphere model WRF-SFIRE configured in large-eddy simulation (LES) mode to develop a synthetic plume dataset. Using this numerical data, we demonstrate that crosswind integrated smoke injection height for a fire of arbitrary shape and intensity can be modelled with a simple energy balance. We introduce two forms of updraft velocity scales that exhibit a linear dimensionless relationship with the plume vertical penetration distance through daytime convective boundary layers. Lastly, we use LES and prescribed burn data to constrain and evaluate the model. Our results suggest that the proposed simple parameterization of mean plume rise as a function of vertical velocity scale offers reasonable accuracy (30 m errors) at little computational cost.


2010 ◽  
Vol 1 (4) ◽  
pp. 250-259 ◽  
Author(s):  
Yongqiang Liu ◽  
Gary L. Achtemeier ◽  
Scott L. Goodrick ◽  
William A. Jackson
Keyword(s):  

2014 ◽  
Author(s):  
V. Kovalev ◽  
S. Urbanski ◽  
A. Petkov ◽  
A. Scalise ◽  
C. Wold ◽  
...  

Atmosphere ◽  
2019 ◽  
Vol 10 (10) ◽  
pp. 579
Author(s):  
Nadya Moisseeva ◽  
Roland Stull

Current understanding of the buoyant rise and subsequent dispersion of smoke due to wildfires has been limited by the complexity of interactions between fire behavior and atmospheric conditions, as well as the uncertainty in model evaluation data. To assess the feasibility of using numerical models to address this knowledge gap, we designed a large-eddy simulation of a real-life prescribed burn using a coupled semi-emperical fire–atmosphere model. We used observational data to evaluate the simulated smoke plume, as well as to identify sources of model biases. The results suggest that the rise and dispersion of fire emissions are reasonably captured by the model, subject to accurate surface thermal forcing and relatively steady atmospheric conditions. Overall, encouraging model performance and the high level of detail offered by simulated data may help inform future smoke plume modeling work, plume-rise parameterizations and field experiment designs.


Atmosphere ◽  
2011 ◽  
Vol 2 (3) ◽  
pp. 358-388 ◽  
Author(s):  
Gary L. Achtemeier ◽  
Scott A. Goodrick ◽  
Yongqiang Liu ◽  
Fernando Garcia-Menendez ◽  
Yongtao Hu ◽  
...  

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