Part of what makes Big Data such a unique technological development is its adaptability to a number of different industries, transitioning between fashion analytics and cancer statistics without missing a beat. Although some companies are making use of Big Data to compile more accurate marketing statistics, others are using the cloud computing technology to predict what major weather events are on the horizon in any given area.
Forbes contributor Lisa Wirthman wrote a recent article on how Big Data will assume an important role in this year’s impending hurricane season. In it, she explained how Big Data could be used to help those preparing for such storm thanks to analytics that could save their homes this season.
How does Big Data help predict the weather?
Ever since humans began studying thousands of weather patterns in an effort to better predict what was coming their way, analysis has been at the heart of efficiency when it comes to weather predictions. Technology has done a great deal to help forecasters predict anything from the smallest rainstorm to a monumental tornado, with varying degrees of accuracy.
The growth of Big Data meant that even more data could be collected, although the industry continued to focus mainly on aerial technology to predict developments of interest to readers and viewers. In recent years, as Wirthman explained, “hurricane hunters” have been able to get closer than ever to predicting the specifics of a particular storm.
“Although manned Hurricane Hunters can fly straight into the core of a storm, they typically don’t fly below 5,000 feet,” the source explained. “The Hunters can drop small cylinders into this low-level danger zone to gather data about temperature, humidity and pressure, but they only stay in the air for a few minutes before hitting the sea below.”