PredictCurrent provides both global ocean current forecasts and regional areas of high resolution. Please see the world coverage map at predictwind.com/world-coverage and scroll down this page to view the high-resolution Tidal Current coverage map.

In some regions, you'll notice areas where the global ocean current (Mercator Global Ocean model) intersects with local high-resolution tidal currents. This intersection can sometimes result in straight lines within rectangular boxes on the map.

This occurs because we merge two distinct data sets in the source and the resolution, the Mercator global ocean currents and local tidal currents. Unfortunately, the global Ocean Current Models are at a low resolution and do not have any predictions close to the coast. Therefore, the transition from Ocean Current data to Tidal Currents is not accurately modelled. This limitation is due to the resolution of the ocean current model.

You can access 100-meter, 400-meter and 4-kilometre resolution tidal current zones for many areas. We recommend using the highest resolution available for your specific area whenever possible. Around islands and coastal regions, where tidal effects are more pronounced, opting for the 100m / 400-meter resolution provides greater detail.

Offshore, it is advisable to transition to the 4-kilometre resolution and the full global ocean models. As you venture from coastal waters into ocean waters, the influence of global ocean currents becomes more significant, especially around the Gulf Stream, Straits of Gibraltar, and the English Channel.

It is essential to understand that our maps are based on forecast models rather than direct observation data from buoy stations. While these models provide valuable insights, they may not always perfectly represent real-time conditions, especially in areas where ocean and tidal currents converge.

Navigating high-resolution tidal current maps involves considering the intersection of global ocean currents and local tidal currents, choosing the appropriate resolution for your area of interest, and understanding the limitations of forecast models.