Chinese scientists have developed a method for forecasting the height of ocean waves, which might have significant implications for the fishing sector.
In short, the fish are more costly the more significant the waves.
The wind-wave action and ocean wave energy equations are solved numerically by existing ocean wave models to provide forecasts of future ocean waves. While these models may provide outstanding results, they are time-consuming, expensive, and require much computational power.
Based on their recent preliminary research on using artificial intelligence methods to predict ocean waves, Professor Luo Jingjia and coauthors from the Climate and Applied Frontier Research Institute (ICAR) of Nanjing University of Information Science & Technology (NUIST) attempted to resolve this problem in a paper recently published in Atmospheric and Oceanic Science Letters.
As stated by Luo:
“By comparing several methods, our two-stage ConvLSTM model demonstrates good accuracy in predicting ocean waves. We also conducted real-time experiments and found that the effect of using the winds predicted by the model as a substitute was also good.
Next, we plan to integrate our AI model into [a] NUIST climate forecast system model by using the winds predicted by it as the input of the AI model to predict ocean waves, which will be more economical and time-saving than operating the ocean wave model.”
Here’s a link to their research article.
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