Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Algorithm for automatic identification and process reconstruction of ocean mesoscale eddies

An automatic identification and vortex technology, applied in the information field, can solve problems such as calculation noise influence, difficult vortex process and its internal details query retrieval statistical analysis, influence vortex extraction, etc.

Inactive Publication Date: 2011-12-21
INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
View PDF2 Cites 34 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are still three important problems with this method: First, this method needs to specify a threshold to extract eddies, and for the entire world ocean, there is no unified threshold standard, and the threshold is set too high Or too low will affect the effect of vortex extraction; second, the calculation of this method is easily affected by the noise of SSH data, because from the formula, the velocity component must be calculated by SSH, and the differential and coefficient doubling of each level will be enlarged. The influence of SSH noise; thirdly, the inner area of ​​the vortex determined by the closed contour of the W value and the closed contour of the SSH value cannot generally overlap
[0011] At present, in the quantitative research on oceanic mesoscale eddies, there are few researches on the construction of spatiotemporal data models of oceanic eddy processes, and it is difficult to effectively query and retrieve the eddy process and its internal details and various Statistical Analysis

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Algorithm for automatic identification and process reconstruction of ocean mesoscale eddies
  • Algorithm for automatic identification and process reconstruction of ocean mesoscale eddies
  • Algorithm for automatic identification and process reconstruction of ocean mesoscale eddies

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0067] Taking the oceanic mesoscale eddies that appeared in the summer of 2006 (June-August) in the South China Sea (which spans approximately 0°-23°N, 99°-121°E, and covers an area of ​​approximately 3.5 million square kilometers) as the research object .

[0068] Using the SSH data simulated by the Global Layered Ocean Numerical Model (Global NLOM) provided by the US Naval Laboratory (Navy Research Laboratory, NRL), the time resolution of the data is 1 day, and the spatial resolution is 1 / 32°×1 / 32°. Since the model uses ENVISAT, GFO and JASON-1 to assimilate SSH, the accuracy of data simulation is high and continuous, which is more suitable for the extraction of typical cases of marine mesoscale eddy processes. The SSH data used in the experiment was downloaded through the LAS (Live Access Server) method provided by the Asia-Pacific Data-Research Center (APDRC) website. It can be updated to the data of the month before the current day, and the data format is netCDF.

[0...

Embodiment 2

[0101] Taking the ocean eddy that appeared in the South China Sea in 2008 as the test object. The data downloading method, vortex automatic identification and process tracking method, and vortex process spatio-temporal data model are the same as those in Embodiment 1.

[0102] A total of 3618 vortex states were extracted, including 2128 cold vortexes and 1490 warm vortexes. A total of 435 complete processes were tracked, including 260 cold vortices and 175 warm vortices. There are a total of 73 typical vortex processes lasting more than 20 days, including 48 cold vortexes and 25 warm vortexes. The longest process lasted from April 29, 2008 to September 9, including 106 state, which lasted for 134 days.

[0103] The ESO relationship table constructed in the experiment is shown in Table 4; the ECBT table is shown in Table 5; the EPO table is shown in Table 6; Figure 6 .

[0104] Table 4 The relationship table of eddy state objects (ESO) in the South China Sea in 2008 (parti...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a method for automatically identifying and tracking mesoscale ocean eddy, belonging to the technical field of information. The method is mainly used for automatically extracting and tracking and constructing the process of the mesoscale ocean eddy. The realization method comprises the following steps of: providing an improved method for automatically identifying the eddy based on SSH (Sea Surface Height) on the basis of researching a method for automatically identifying the mesoscale ocean eddy; extracting the state of the eddy and tracking the process of the eddy by using a tracking method based on the closest distance and the similarity; and constructing a time and space process database of the mesoscale ocean eddy with a time and space data model based on topology reconstruction. The algorithm disclosed by the invention is simpler and more flexible; furthermore, the eddy time and space process data model based on the topology reconstruction is combined; the automatic identifying and the process tracking of the eddy can be tightly combined; the extraction and time and space process reconstruction of the eddy can be realized automatically; and strong support is provided for well exploring the process of the eddy and internal detail evolution law therein.

Description

technical field [0001] The invention relates to an algorithm for automatic identification and process reconstruction of mesoscale eddies in the ocean, belonging to the field of information technology. Background technique [0002] At present, the automatic identification methods of oceanic mesoscale eddies based on sea surface height data mainly fall into the following two categories: one is the physical ocean parameter method, and the other is the geometric method. [0003] The physical ocean parameter method is called the Okubo-Weiss parameter method (Okubo, 1970; Weiss, 1991), and the traditional W parameter method uses where Sn is the normal component of tension, Ss is the shear component of tension, and ω is the relative vorticity of the flow field. For the oceanic non-divergent flow in the horizontal direction, the formula can be simplified as Wherein u=-(g / f)hy, v=(g / f)hx, where h is the height anomaly of the sea surface, g is the acceleration of gravity, and f is...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 杜云艳周成虎王欣樊星
Owner INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com