Using Artificial Intelligence, researchers have developed an algorithm to detect cloud formations that lead to storms, hurricanes, and cyclones.
The research, published within the journal, reveals a model that may assist forecasters in recognizing potential severe storms more rapidly and accurately.
The researchers developed a framework based on Machine Learning – a sort of AI — that detects rotational movements in clouds from satellite photographs that may have otherwise gone unnoticed.
“The perfect forecasting incorporates as much data as possible. There is a lot to take in as the atmosphere is infinitely complex. Through the use of the models and the data we’ve, we’re taking a snapshot of the complete look of the atmosphere,” mentioned Steve Wistar, Senior Forensic Meteorologist at AccuWeather within the US.
For the research, researchers analyzed more than 50,000 US climate satellite photos and recognized and labeled the shape and movement of ‘comma-shaped’ clouds.
These cloud patterns are strongly related to cyclone formations which might result in extreme weather events including hail, thunderstorms, high winds and blizzards, they stated.
Then, utilizing computer vision and ML techniques, the researchers taught computer systems to automatically recognize and detect ‘comma-shaped’ clouds in satellite photographs.
The computers may then help experts by stating in real-time where, in an ocean of data, may they focus their attention to detect the onset of severe weather.