Modelling the propagation of wildfires requires an accurate wind field to correctly predict the behaviour of the fire. Although numerical weather prediction models produce reliable and accurate mesoscale forecasts, these are typically either available at a spatial resolution many times greater than the typical resolution of a wildfire model or a spot forecast that must be spatially interpolated to the area of the modelled wildfire. Due to this, these forecasts may not account for fine-scale terrain interactions with the wind and must be downscaled to a higher spatial resolution before use in a wildfire model. These downscaling methods are typically computationally intensive, limiting their use for situations where rapid predictions are required. Despite this, a three-dimensional mass balancing method is commonly used in wildfire prediction as a preprocessing step. In this study we show that this mass balancing method can be reduced to a two-dimensional approach, greatly reducing the complexity and computational time required for the model. The two-dimensional method is compared with the existing three-dimensional method and experimentally measured datasets. Furthermore, a combination of rapid numerical solution techniques and modern computational processors allow these wind–terrain correction methods to be directly incorporated into wildfire propagation models.

对野火蔓延进行建模需要准确的风场以正确预测火势。尽管数值天气预报模型可以生成可靠且准确的中尺度天气预报，但通常可以以比野火模型的典型分辨率大很多倍的空间分辨率或必须在空间上内插到模拟野火区域的点预报的形式获得。因此，这些预测可能无法说明地形与风的精细相互作用，因此必须在野火模型中使用之前将其缩减为更高的空间分辨率。这些缩小比例的方法通常需要大量计算，从而限制了它们在需要快速预测的情况下的使用。尽管如此，野火预测中通常使用三维质量平衡方法作为预处理步骤。在这项研究中，我们表明可以将这种质量平衡方法简化为二维方法，从而大大降低了模型所需的复杂性和计算时间。将二维方法与现有的三维方法和实验测量的数据集进行了比较。此外，快速数值解算技术和现代计算处理器的组合使这些风地形校正方法可以直接纳入野火传播模型中。将二维方法与现有的三维方法和实验测量的数据集进行了比较。此外，快速数值解算技术和现代计算处理器的组合使这些风地形校正方法可以直接纳入野火传播模型中。将二维方法与现有的三维方法和实验测量的数据集进行了比较。此外，快速数值解算技术和现代计算处理器的组合使这些风地形校正方法可以直接纳入野火传播模型中。