Hugh Edward Willoughby
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Hurricane Forecasting for Engineers Citizens, enterprises, and governments in the path of a cyclone want answers to these questions: Is it coming here? How strong will it be? What will be the impacts in my neighborhood? What should I do to prepare or evacuate? In the past, a forecast was considered successful if it specified the intensity (measured by strongest winds or lowest barometric pressure) and path of the hurricane for 24 through 72 hours in the future. By the 1990s, users came to expect more specific details, including spatial distributions of rainfall, winds, inland flooding, storm surge and high seas, for lead-times as long as 120 hours. The forecaster’s dominant tools are increasingly elaborate numerical models that that integrate the Navier-Stokes equations starting from global observations of past and present weather. A salient difficulty lies in “sensitivity to initial conditions,” wherein numerical forecasts based upon incrementally different characterizations of the current state of the atmosphere lead to wildly different predictions. Meteorologists have maintained homogenous statistics that provide reliable metrics of forecast performance for more than a half-century. These “verification” statistics show that track forecast errors decrease steadily by 1-2% annually, whereas intensity forecasts remain only a little better than what one might expect from the simplest statistical extrapolations. In terms of outcomes, early 21st century forecasting prevents 90% of the hurricane-related mortality that would occur with techniques used in the 1950s, but it is difficult to demonstrate a significant reduction in property damage. Also, the economic and human impacts of the response to forecasts and warnings are poorly known. |