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Wildfire smoke-plume rise: a simple energy balance parameterization

机译:野火烟羽升高:简单的能量平衡参数化

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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.
机译:?浮力升起和?大气中野火烟雾的所得垂直分布对表面的下行污染物浓度有强烈影响。注入的烟雾量与高度是化学传输模型和烟雾建模框架的关键。由于模型评估数据的稀缺以及野火羽流动力学的固有复杂性,烟雾喷射高度预测具有大的不确定性。在这项工作中,我们使用在大涡模拟(LES)模式下配置的耦合火灾 - 大气模型WRF-SFIRE开发合成羽流数据集。使用该数值数据,我们证明了用于任意形状和强度火焰的跨风集成烟雾喷射高度可以用简单的能量平衡来建模。我们介绍了两种形式的上升速度尺度,其通过白天对流边界层与羽毛垂直穿透距离表现出线性无量纲关系。最后,我们使用LES和规定的烧毁数据来约束和评估模型。我们的结果表明,随着垂直速度尺度的函数,所提出的平均羽流的简单参数化提供了合理的准确性(30?M错误),几乎没有计算成本。

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