contributor author | Luo, Jingjia | |
contributor author | Jameson, Leland | |
date accessioned | 2017-06-09T14:39:40Z | |
date available | 2017-06-09T14:39:40Z | |
date copyright | 2002/03/01 | |
date issued | 2002 | |
identifier issn | 0739-0572 | |
identifier other | ams-2387.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4160478 | |
description abstract | Wavelet analysis offers a new approach for viewing and analyzing various large datasets by dividing information according to scale and location. Here a new method is presented that is designed to characterize time-evolving structures in large datasets from computer simulations and from observational data. An example of the use of this method to identify, classify, label, and track eddylike structures in a time-evolving dataset is presented. The initial target application is satellite data from the TOPEX/Poseiden satellite. But, the technique can certainly be used in any large dataset that might contain time-evolving or stationary structures. | |
publisher | American Meteorological Society | |
title | A Wavelet-Based Technique for Identifying, Labeling, and Tracking of Ocean Eddies | |
type | Journal Paper | |
journal volume | 19 | |
journal issue | 3 | |
journal title | Journal of Atmospheric and Oceanic Technology | |
identifier doi | 10.1175/1520-0426-19.3.381 | |
journal fristpage | 381 | |
journal lastpage | 390 | |
tree | Journal of Atmospheric and Oceanic Technology:;2002:;volume( 019 ):;issue: 003 | |
contenttype | Fulltext | |