A platform for research: civil engineering, architecture and urbanism
Forecasting sea level anomalies from TOPEX/Poseidon and Jason-1 satellite altimetry
Abstract This paper aims at the prediction of both global mean sea level anomalies (SLAs) and gridded SLA data in the east equatorial Pacific obtained from TOPEX/Poseidon and Jason-1 altimetric measurements. The first prediction technique (denoted as LS) is based on the extrapolation of a polynomial-harmonic deterministic least-squares model describing a linear trend, annual and semi-annual oscillations. The second prediction method (denoted as LS + AR) is a combination of the extrapolation of a polynomial-harmonic model with the autoregressive forecast of LS residuals. In the case of forecasting global mean SLA data, both techniques allow one to compute the predictions of comparable accuracy (root mean square error for 1-month in the future is of 0.5 cm). In the case of predicting gridded SLA data, the LS + AR prediction method gains significantly better prediction accuracy than the accuracy obtained by the LS technique during El Niño 1997/1998, La Niña 1998/1999 and during normal conditions.
Forecasting sea level anomalies from TOPEX/Poseidon and Jason-1 satellite altimetry
Abstract This paper aims at the prediction of both global mean sea level anomalies (SLAs) and gridded SLA data in the east equatorial Pacific obtained from TOPEX/Poseidon and Jason-1 altimetric measurements. The first prediction technique (denoted as LS) is based on the extrapolation of a polynomial-harmonic deterministic least-squares model describing a linear trend, annual and semi-annual oscillations. The second prediction method (denoted as LS + AR) is a combination of the extrapolation of a polynomial-harmonic model with the autoregressive forecast of LS residuals. In the case of forecasting global mean SLA data, both techniques allow one to compute the predictions of comparable accuracy (root mean square error for 1-month in the future is of 0.5 cm). In the case of predicting gridded SLA data, the LS + AR prediction method gains significantly better prediction accuracy than the accuracy obtained by the LS technique during El Niño 1997/1998, La Niña 1998/1999 and during normal conditions.
Forecasting sea level anomalies from TOPEX/Poseidon and Jason-1 satellite altimetry
Niedzielski, Tomasz (author) / Kosek, Wiesław (author)
Journal of Geodesy ; 83
2008
Article (Journal)
Electronic Resource
English
Forecasting sea level anomalies from TOPEX/Poseidon and Jason-1 satellite altimetry
Online Contents | 2008
|Ob' river discharge from TOPEX-Poseidon satellite altimetry (1992#82112002)
Online Contents | 2004
Louisiana Wetland Water Level Monitoring Using Retracked TOPEX-POSEIDON Altimetry
Online Contents | 2009
|Multiresolution Optimal Interpolation and Statistical Analysis of TOPEX-POSEIDON Satellite Altimetry
Online Contents | 1995
|