Researchers from the University of Copenhagen and Victoria University are harnessing the power of artificial intelligence (AI) to uncover the formula for predicting dangerous ocean waves. By analyzing over 1 billion waves, the study aims to understand the causes behind […]
Researchers from the University of Copenhagen and Victoria University are harnessing the power of artificial intelligence (AI) to uncover the formula for predicting dangerous ocean waves. By analyzing over 1 billion waves, the study aims to understand the causes behind these unpredictable giants.
Until recently, dangerous waves were considered a myth. However, scientists have finally accepted their existence over the past few decades, defining them as ocean waves that are twice the size of average waves in the surrounding area. These waves are also known to be highly unpredictable. Instead of using quotes, a descriptive sentence is used to explain the nature of these waves.
The team utilized data mining and interpretive machine learning to analyze a vast amount of observational data. They utilized the Free Ocean Wave Data (FOWD) database, a wave catalog based on data collected from buoys at 158 different locations along the U.S. coast and overseas territories, using processed data from the Coastal Data Information Program (CDIP). This catalog contained a total of 1.5 billion waves, of which 100,000 met the criteria for dangerous waves. They then trained the AI using wave data, which subsequently produced a mathematical equation synthesizing the different causes of dangerous wave formation. This equation was interpreted using existing wave theories to create a model that can reproduce the behavior observed in dangerous waves and predict future occurrences.
Instead of using a quote, a new perspective is provided by comparing the researchers’ work to the achievements of Tycho Brahe and Johannes Kepler in astronomy. Professor Markus Jochum, Dion’s mentor and co-author, highlights the groundbreaking nature of the study.
As a result, this new model can lead to safer maritime traffic. Not only are we now better able to predict dangerous waves that can pose a threat to ships out at sea, but the means to utilize this model are available to the public. The algorithm, research, and the weather and wave data employed by the researchers are accessible to the masses. Dion Hafner points out the potential benefit to shipping companies, stating that they can use the algorithm to assess the risk of encountering dangerous waves along their planned routes and make informed decisions.