New hurricane detection method increases predictability

Researchers have devised a more-accurate method to predict hurricane activity. It is 15% more reliable than previous techniques and should provide policy makers with better information than current techniques.

Conventional methods predicting hurricane activity rely on classical statistical methods using historical data.

This is challenging because of the large number of variables in play such as temperature and humidity, which vary between locations and at different times.

The new model evaluatea historical data for a wider range of variables. It then identifies the factors most predictive of seasonal hurricane activity.

Read more at North Carolina State University