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Pyrocumulonimbus Firepower Threshold: Assessing the Atmospheric Potential for pyroCb

Kevin J. Tory, Jeffrey D. Kepert

2020Weather and Forecasting46 citationsDOIOpen Access PDF

Abstract

Abstract Pyrocumulonimbus (pyroCb) clouds are difficult to predict and can produce extreme and unexpected wildfire behavior that can be very hazardous to fire crews. Many forecasters modify conventional thunderstorm diagnostics to predict pyroCb potential, by adding temperature (Δ θ ) and moisture increments (Δ q ) to represent smoke plume thermodynamics near the expected plume condensation level. However, estimating these Δ θ and Δ q increments is a highly subjective process that requires expert knowledge of all factors that might influence future fire size and intensity. In this paper, instead of trying to anticipate these Δ θ and Δ q increments for a particular fire, the minimum firepower required to generate pyroCb for a given atmospheric environment is considered. This concept, termed the pyroCb firepower threshold (PFT) requires only atmospheric information, removing the need for subjective estimates of the fire contribution. A simple approach to calculating PFT is presented that incorporates only basic plume-rise physics, yielding an analytic solution that offers important insight into plume behavior and pyroCb formation. Minimum increments of Δ θ and Δ q required for deep, moist convection, plus a minimum cloud-base height ( z fc ), are diagnosed on a thermodynamic diagram. Briggs’s plume rise equations are used to convert Δ θ , z fc , and a mean horizontal wind speed U to a measure of the PFT: the minimum heat flux entering the base of the plume. This PFT is proportional to the product of U , Δ θ , and the square of z fc . Plume behavior insights provided by the Briggs’s equations are discussed, and a selection of PFT examples presented.

Topics & Concepts

PlumeFirepowerMeteorologyEnvironmental sciencePhysicsGeographyArchaeologyFire effects on ecosystemsLightning and Electromagnetic PhenomenaMeteorological Phenomena and Simulations