Philip John Sallis

Dr. Philip Sallis is a Professor in Computer Science at the Auckland University of Technology in New Zealand. His research over the past 10 years has predominantly been in the field of GeoComputation with a focus on instrumentation and measurement, particularly in the context of agrometeorological applications of wireless sensor networks for data acquisition and subsequent dynamical systems modelling of micro-climates. In recent years, this work has extended to other areas of environmental sensor applications such as autonomous vehicles, pest control and sensory assistance for children with learning disabilities. With an academic career spanning more than 40 years, he has held university positions in England, Australia and New Zealand, including the senior roles as Head of School, Dean and Deputy Vice Chancellor. He is currently a Pro-Vice Chancellor assisting in the academic leadership of the Auckland University of Technology.

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Latest work with IntechOpen by Philip John Sallis

The term extreme weather normally conjures up thoughts of massive storms or heat waves or overtly cold temperatures. These are all examples of what we might consider as weather events that occur out of the ordinary or what is regarded as the normal pattern of calm, heat, cold, dry, or wet conditions for one season of the year or another. The point is that if we consider an oscillation of data points in a weather pattern and plot a mean through it, extreme weather can be observed as a perturbation in a distribution of climatic events over time. These events may be short-lived, such as a wind gust occurrence, or of longer duration, such as heavy rain leading to flooding. Importantly, once initiated, a perturbation event has an associated consequence, which usually requires human intervention to rectify the event’s consequences.

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