Tornado Forecasting Research

Tornado Forecasting: A Review

Present-day operational tornado forecasting can be thought of in two parts: anticipation of tornadic potential in the storm environment, and recognition of tornadic storms once they develop. The former is a forecasting issue, while the latter is associated with warnings (or so-called nowcasting). This paper focuses on the forecasting aspect of tornadoes1, by dealing primarily with the relations...

Learning networks for tornado forecasting: a Bayesian perspective

In this paper, different types of learning networks, such as artificial neural networks (ANNs), Bayesian neural networks (BNNs), support vector machines (SVMs) and Bayesian support vector machines (BSVMs) are applied for tornado forecasting. The last two approaches utilize kernel methods to address nonlinearity of the data in the input space. All methods are applied to forecast when tornadoes o...

Research Needs in Forecasting

The demand for research on forecasting is strong. This conclusion is based on the high number of citations to papers published about research on forecasting, and upon the number of subscriptions for journals devoted to forecasting. The supply of research papers is also large, following a rapid growth in the 1960s and 1970s. This research has produced important findings. Despite this, a comparis...

Tornado Warnings and Tornado Fatalities : The Case of May 22 , 2011 Tornado in Joplin , Missouri

People Forecasting: Research Project Description

My thesis work began as part of project Rescue (http://www.itr-rescue.org) whose goal is to help emergency personnel better respond to natural and man-made disasters. I titled my Rescue subproject “People Forecasting”. Just as a weather forecast helps people make more informed decisions about what to wear, where to go and when to go there; the goal of People Forecasting is that emergency person...