Remote Sensing (Jun 2022)

A Two-Dimensional Variational Scheme for Merging Multiple Satellite Altimetry Data and Eddy Analysis

  • Xingliang Jiang,
  • Lei Liu,
  • Zhijin Li,
  • Lingxiao Liu,
  • Kenny T. C. Lim Kam Sian,
  • Changming Dong

DOI
https://doi.org/10.3390/rs14133026
Journal volume & issue
Vol. 14, no. 13
p. 3026

Abstract

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With the increasing number of satellite altimeters in orbit, the effective resolution of merged multiple satellite altimetry data can be improved. We implement a two-dimensional variational (2-DVar) method to merge multiple satellite altimetry data and produce a daily gridded absolute dynamic topography (ADT) dataset with a grid size of 0.08 degrees. We conduct an observing system simulation experiment (OSSE), and the results show that the merged ADT dataset has an effective resolution of about 210 km. Compared with an independent sea surface temperature (SST) data, fine-scale structures can also be observed in the geostrophic flow of the new dataset. A relationship between effective resolution and the radius of a detected eddy is established and used for eddy analysis in the East China Sea (ECS) region. We observe that eddies in the open ocean are more numerous, have larger radii and live longer than those in other areas.

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