Composite vortex recognition model construction method based on Helmholtz decomposition and deep learning
Patent Information
- Authority / Receiving Office
- CN · China
- Current Assignee / Owner
- SHANGHAI UNIV
- Publication Date
- 2022-05-24
Smart Images

Figure 1 
Figure 2 
Figure 3
Abstract
Description
technical field
[0001] The invention belongs to the field of compound vortex identification, in particular to a method for constructing a compound vortex identification model based on Helmholtz decomposition and deep learning. Background technique
[0002] A mesoscale eddy is a type of eddy in the ocean that is widespread in the global ocean. Ocean eddies themselves carry great kinetic energy, which plays a key role in global ocean material transport and energy transfer. We have often identified single vortices before, but little attention has been paid to compound vortices. The composite vortex is a combination of single vortices. After two single vortices meet together to form a composite vortex, it will affect the trajectory of the original single vortex. In addition, the form of energy exchange between two independent single vortices is also different from that of the two single vortices in the composite vortex, so our identification of the composite vortex has very im...