How AI can help with Surf Forecasting

November 13, 2020

How AI can help with Surf Forecasting

Artificial Intelligence News

How AI can help with Surf Forecasting
How AI can help with Surf Forecasting
How AI can help with Surf Forecasting

Surf forecasting variables and models

Currently, surf forecasting is based on multiple variables. Once analyzed and calculated, these variables can deliver estimative wave predictions. Everything starts with the presence of wind, the number one responsible for wave creation. Wind forecasting can help identify the chances of swells in a specific location based on secondary variables. As expected, wind forecasting is not accurate science, and the more extended the forecast is, the more chances are for it to be erroneous.

Surfing in Playa De Las Americas - Tenerife
Surfing in Playa De Las Americas - Tenerife
Surfing in Playa De Las Americas — Tenerife
Surfing at Cocoa Beach in Florida
Surfing at Cocoa Beach in Florida
Surfing at Cocoa Beach in Florida

AI to improve swell models and deliver accurate surf forecasting

Modern surf forecasting is based on a gargantuan amount of data that needs processing and interpreting. Swell models are products designed to interpret open source weather data worldwide to cast surf predictions. Add to this surf-related variables, and swell models already can create surf forecasts for hours or even days in advance. But what hides behind swell models? As expected, swell models are generated by supercomputers that work with complicated mathematical calculations. Once processed, analyzed, and interpreted, the calculations are delivered as graphics and models accessible to surfers worldwide.

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Wesley has run many businesses from Travel, Surfing, Space, Travel, Airlines, Software, Medical and Lifestyle. You can read more about him at wesleybaker.com

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