This webinar will draw a link between seasonal changes in driving difficulty and moose movements that lead to a predictable spike in moose-vehicle collisions during winter. We can use this knowledge to predict the times and places where collision risk is highest, and ultimately reduce avoidable human and animal suffering.
This presentation will examine the efficacy of NUCAPS-derived near-surface lapse rate and vapor pressure deficit, mid-troposphere moisture content, and instability parameters to facilitate early warning of pyroCb development. NRL-MMD is developing fire pixel clustering and NUCAPS filtering techniques to focus on specific wildfire events that are likely to produce pyroCb activity. The overarching objective is to provide weather forecasters and firefighting agencies with a potentially invaluable resource related to hazards ensuing from convective cloud development over active wildfires.