Extrapolating oceanic signals from surface data to deeper layers: Application to different datasets

Bruno Buongiorno Nardelli, Olga Cavalieri, Rosalia Santoleri, Marie-Helene Rio

Research output: Contribution to conferencePaper

Abstract

Different approaches can be followed to extract as much information as possible from sea surface and vertically integrated measurements, potentially allowing to infer vertical profiles from sea surface level measured by satellite, coupled to other remotely sensed data. Here, the direct analysis of the sole observations and of their covariances, demonstrates its ability to identify what is the information content of the data and how this can be extracted more efficiently. In particular, two recently proposed methods to project surface measurements on the vertical, i.e. Coupled Pattern Reconstruction (CPR) and multivariate Empirical Orthogonal Function Reconstruction (mEOF-R) have been applied to different datasets. The more relevant results of these analyses are presented.
Original languageEnglish
Publication statusPublished - Jul 2006
Externally publishedYes
EventSymposium on 15 years of Progress in Radar Altimetry - , Italy
Duration: 1 Jul 2006 → …

Conference

ConferenceSymposium on 15 years of Progress in Radar Altimetry
CountryItaly
Period1/7/06 → …

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All Science Journal Classification (ASJC) codes

  • Aerospace Engineering

Cite this

Buongiorno Nardelli, B., Cavalieri, O., Santoleri, R., & Rio, M-H. (2006). Extrapolating oceanic signals from surface data to deeper layers: Application to different datasets. Paper presented at Symposium on 15 years of Progress in Radar Altimetry, Italy.