In western Canada, the effects of warming and increasing human activity may alter the structure, composition, and function of forests, producing quantitatively and qualitatively different understory light conditions. While difficult to measure directly, process-based models may facilitate inference of historical forest states. Yet, existing models are limited in the dynamics they represent. HIGRAD solves the compressible form of the Navier-Stokes equations. The turbulence parameterization used in this version of HIGRAD are based upon Linn’s. Are two additional drivers that describe the creation of turbulence at the B scale, due to the break up of turbulence at the A scale and to the mean flow in the vegetation. Download citation. Copy link Link copied. The semi-implicit approach in HIGRAD solves for the fast modes in a coupled, three-dimensional fashion using only an implicit solver. Spotting during wildfires can significantly influence the way wildfires spread and reduce the chances of successful containment by fire crews. However, there is little published empirical evidence of the phenomenon. In this study, we have analysed spotting patterns observed from 251 wildfires from a database of over 8000 aerial line scan images capturing active wildfire across mainland.
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