Forecast AI bolsters the preciseness of MarineLabs’ weather intelligence services

MarineLabs, a leader in maritime weather intelligence, has introduced Forecast AI to deliver highly accurate, hyper-localized coastal weather forecasts through MarineLab’s new machine learning models with extensive data from its fleet of real-time sensors.

Forecast AI complements MarineLabs’ flagship CoastAware service that provides real-time weather intelligence for enhanced safety, efficiency and sustainability in maritime operations along with coastline resilience in the face of climate change.

“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,” Scott Beatty, MarineLabs’ CEO explains. “This empowers our subscribers and partners with the precise, forward-looking, hyperlocal wind and wave forecast information they need to make safe and informed decisions in the face of increasingly volatile weather.”

Forecast AI is accessed through MarineLabs’ CoastAware platform on desktop or mobile devices. MarineLabs’ sensor network along Canadian coastlines in the Atlantic and Pacific now has Forecast AI at 31 buoys with 12 additional sites being added in Canada and the United States throughout the fall.

To date, in aggregate at more than 32 locations where MarineLab’s forecasting is available, Forecast AI has had a 50% lower average in errors in predicting weather parameters when compared to publicly available maritime forecast models.

A video further explaining Forecast AI as well as a form to download the white paper titled Advantages of Hyper-Localized AI Metocean Forecasting for Port Operation Decision Making are available by clicking here.