Multivariate autoregressive modelling of sea level time series from TOPEX/Poseidon satellite altimetry
This work addresses the autoregressive modelling of sea level time series from TOPEX/Poseidon satellite altimetry mission. Datasets from remote sensing applications are typically very large and correlated both in time and space. Multivariate analysis methods are useful tools to summarise and extract...
Main Authors: | S. M. Barbosa, M. E. Silva, M. J. Fernandes |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2006-01-01
|
Series: | Nonlinear Processes in Geophysics |
Online Access: | http://www.nonlin-processes-geophys.net/13/177/2006/npg-13-177-2006.pdf |
Similar Items
-
Comparison between XBT data and TOPEX/Poseidon satellite altimetry in the Ligurian-Tyrrhenian area
by: S. Vignudelli, et al.
Published: (2003-01-01) -
Calibration of hydrological models using TOPEX/Poseidon radar altimetry observations
by: W. Sun, et al.
Published: (2015-05-01) -
Pantanal Wetland rivers and lakes water level monitoring using Topex-Poseidon satellite altimetry: preliminary results
by: Mattos Elaine Medeiros de, et al.
Published: (2000-01-01) -
Seasonal and Interannual Variations of the Leeuwin Current off Western Australia from TOPEX/Poseidon Satellite Altimetry
by: Xiaoli Deng, et al.
Published: (2008-01-01) -
SEA LEVEL VARIATIONS IN ADJACENT SEAS OF KOSEA FROM TOPEX/POSEIDON
by: Yong-Hoon YOUN, et al.
Published: (2004-01-01)