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Automated detection of Gyres Formation

IP.com Disclosure Number: IPCOM000220625D
Publication Date: 2012-Aug-09
Document File: 2 page(s) / 23K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a system of tools and workflows that enable an automated detection of gyres in coastal and river basins in order to alert, predict, detect, or monitor such events. By employing the vorticity and circulation equations, gyres are detected in a numerically feasible fashion. Moreover, by applying a threshold technique, the method is able to describe and track their intensity.

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Automated detection of Gyres Formation

A gyre is any large system of rotating marine currents. Detecting gyres is important in order to understand and predict water flow and water quality issues, since they tend to be structures that can trap seawater, biomass and nutrients, and, depending on their magnitude and intensity, can have an impact on reducing shipping fuel costs and shipping times. Any operational system that tries to alert, monitor, or predict in real time water flow driven events in the region will need to rely on quantitative and automatic detection systems that are numerically feasible for such events.

Known solutions and differences with this invention:

A. Method to plot time averaged water flow vector fields and visually estimate where gyres structures are residing. This methodology is manual, not automated. The disclosed system is automatic and does not require intervention of humans for manual visualization.

B. Method to employ image processing (i.e., pattern recognition) techniques on infrared pictures obtained by satellite. This methodology requires access to satellite images and it is not very accurate, especially when it tries to detect smaller scale and highly dynamical gyres. The disclosed system is more accurate than image processing methods by pattern recognition in infrared satellite signals, which are highly inaccurate in marine sciences.

C. An automatic approach that employs Lagrangian numerical and modeling methods that are computationally unfeasible. The disclosed method is more computationally feasible.

There are no existing patents in this area. No papers are published on the methodology described in this disclosure....