Articles | Volume 12, issue 6
https://doi.org/10.5194/os-12-1249-2016
https://doi.org/10.5194/os-12-1249-2016
Research article
 | 
02 Dec 2016
Research article |  | 02 Dec 2016

GEM: a dynamic tracking model for mesoscale eddies in the ocean

Qiu-Yang Li, Liang Sun, and Sheng-Fu Lin

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Cited articles

Batchelor, G. K.: An introduction to fluid dynamics, Cambridge university press, 615 pp., 2000.
Bennett, A. F. and White, W. B.: Eddy heat flux in the subtropical North Pacific, J. Phys. Oceanogr., 16, 728–740, 1986.
Capet, A., Mason, E., Rossi, V., Troupin, C., Faugère, Y., Pujol, I., and Pascual, A.: Implications of refined altimetry on estimates of mesoscale activity and eddy-driven offshore transport in the Eastern Boundary Upwelling Systems, Geophys. Res. Lett., 41, 7602–7610, https://doi.org/10.1002/2014GL061770, 2014.
Carrere, L., Faugère, Y., and Ablain, M.: Major improvement of altimetry sea level estimations using pressure-derived corrections based on ERA-Interim atmospheric reanalysis, Ocean Sci., 12, 825–842, https://doi.org/10.5194/os-12-825-2016, 2016.
Chaigneau, A., Gizolme, A., and Grados, C.: Mesoscale eddies off Peru in altimeter records: identification algorithms and eddy spatio-temporal patterns, Progr. Oceanogr, 79, 106–119, 2008.
Short summary
The Genealogical Evolution Model (GEM) is an efficient logical model used to track dynamic evolution of mesoscale eddies in the ocean. It can distinguish different dynamic processes (e.g., merging and splitting) within a dynamic evolution pattern with a two-dimensional vector. All of the computational steps are linear and do not include iteration. It is very fast and is potentially useful for studying dynamic processes in other related fields, e.g., the dynamics of cyclones in meteorology.