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AI-based solutions

Nologin Ocean Weather Systems

What happens if we do not have observational or enough quality model data?

We can calculate them through neural networks and machine learning applied to operational oceanography, to start from the most accurate data possible.

Algorithms and programs have been developed for monitoring the marine environment based on Artificial Intelligence, with the goal of complementing, and in some cases even replacing, the measurement instrumentation deployed in the marine environment. These techniques can also be applied to improve our forecast modelled solutions, or even the fields (such as the wind one) used as input forcing in the runs, resulting in forecasting skill improvements. .

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Artificial Intelligence applied for NOW to operational oceanography

Algorithms that allow point-source data inferences (both from close numerical model grid-points and in-situ measurements at some nearby station)

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To get accurate local coastal wave predictions, it is needed to run very high-resolution models with typical calculation times around an hour; trained convolutional neural networks could deliver analogous predictions in minutes

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To get accurate local coastal wave predictions, it is needed to run very high-resolution models with typical calculation times around an hour; trained convolutional neural networks could deliver analogous predictions in minute

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Get NOW Ocean forecasting and monitoring services for decision making