Maritime weather intelligence technology provider MarineLabs has launched Forecast AI, which will deliver accurate and hyper-localized coastal weather forecasts through the company’s new machine learning models and extensive data from its fleet of real-time sensor nodes.
Forecast AI is an addition to MarineLabs’ CoastAware technology, a real-time weather intelligence solution that enhances safety, efficiency and sustainability in maritime operations and bolsters the climate resilience of coastlines.
Ports, harbormasters and others in maritime industries rely on weather forecasts to make decisions that affect operations, crew and staff safety, costs and the flow of essential goods for consumers. However, there are challenges with the weather forecasting options available. Most weather models provide forecasts at vast global scales, relying on coarse grids to make the computations manageable, which limits their ability to account for local coastal features.
According to MarineLabs, Forecast AI generates more accurate wind and wave forecasts by combining extensive observed data from the company’s expanding sensor network with data from third-party forecast models, while continuously learning and improving with time.
“Forecast AI represents a giant stride forward in our mission to revolutionize marine mobility,” said Dr Scott Beatty, CEO of MarineLabs. “With CoastAware, we set a new standard in real-time weather awareness. Now, by leveraging our unique observations to train thousands of machine learning models, we have the ability to more accurately predict weather in a way that addresses critical gaps in traditional forecasts.
“This empowers our subscribers and partners with the precise, forward-looking, hyper-local wind and wave forecast information they need to make safe and informed decisions in the face of increasingly volatile weather.”
