The University of Southampton
University of Southampton Institutional Repository

Predicted seafloor topography of the New Zealand region: a nonlinear least-squares inversion of satellite altimetry data

Predicted seafloor topography of the New Zealand region: a nonlinear least-squares inversion of satellite altimetry data
Predicted seafloor topography of the New Zealand region: a nonlinear least-squares inversion of satellite altimetry data
We use a nonlinear least squares inversion to derive predicted seafloor topography (hereinafter referred to as RW99) for the New Zealand region (146°E–165°W, 60°S–25°S), combining altimetry data from ERS-1 and Geosat Geodetic Missions, as well as available shipborne gravity and echo sounding data. Currently, the lithospheric component of the model is principally applicable to thinly sedimented oceanic basins; however, we have attempted, though with only partial success, to compensate for regional crustal variations. The upper part of the oceanic lithosphere has an elastic behavior related to a half-space cooling model and flexing under seafloor relief load. Using least squares theory, the topographic solution is derived as a linear combination of altimetry and in situ measurements with adjusted coefficients. These coefficients are iteratively fitted using nonlinear operators between bathymetry and altimetry-derived gravity anomalies assuming their error distributions are Gaussian. The theory enables sparse in situ data to be included in the inversion, such as depth soundings and marine gravity profiles. In comparison with the global model of Smith and Sandwell [1997] (hereinafter referred to as SS97), the RW99 predicted topography is constrained by over threefold more shipborne soundings data and the inclusion of shipborne gravity data. Three strategies are used to validate the RW99 model. Compared to the root-mean-square (rms) error of 310 m of the SS97 model, final residual differences for the RW99 model are within the range of 104–250 m. These rms errors are the result of uncertainties of model parameters, especially the elastic thickness and the relief density, but also the complexity of seafloor topography. In addition, the model inversion does not presently consider gravitational contributions of marine sediments of variable thickness.
0148-0227
16577-16590
Ramillien, G.
50ff70b2-c346-421a-bb47-272d4cca5273
Wright, I.C.
be2a8931-3932-4f1e-b387-43e3652bf3fc
Ramillien, G.
50ff70b2-c346-421a-bb47-272d4cca5273
Wright, I.C.
be2a8931-3932-4f1e-b387-43e3652bf3fc

Ramillien, G. and Wright, I.C. (2000) Predicted seafloor topography of the New Zealand region: a nonlinear least-squares inversion of satellite altimetry data. Journal of Geophysical Research, 105 (B7), 16577-16590.

Record type: Article

Abstract

We use a nonlinear least squares inversion to derive predicted seafloor topography (hereinafter referred to as RW99) for the New Zealand region (146°E–165°W, 60°S–25°S), combining altimetry data from ERS-1 and Geosat Geodetic Missions, as well as available shipborne gravity and echo sounding data. Currently, the lithospheric component of the model is principally applicable to thinly sedimented oceanic basins; however, we have attempted, though with only partial success, to compensate for regional crustal variations. The upper part of the oceanic lithosphere has an elastic behavior related to a half-space cooling model and flexing under seafloor relief load. Using least squares theory, the topographic solution is derived as a linear combination of altimetry and in situ measurements with adjusted coefficients. These coefficients are iteratively fitted using nonlinear operators between bathymetry and altimetry-derived gravity anomalies assuming their error distributions are Gaussian. The theory enables sparse in situ data to be included in the inversion, such as depth soundings and marine gravity profiles. In comparison with the global model of Smith and Sandwell [1997] (hereinafter referred to as SS97), the RW99 predicted topography is constrained by over threefold more shipborne soundings data and the inclusion of shipborne gravity data. Three strategies are used to validate the RW99 model. Compared to the root-mean-square (rms) error of 310 m of the SS97 model, final residual differences for the RW99 model are within the range of 104–250 m. These rms errors are the result of uncertainties of model parameters, especially the elastic thickness and the relief density, but also the complexity of seafloor topography. In addition, the model inversion does not presently consider gravitational contributions of marine sediments of variable thickness.

This record has no associated files available for download.

More information

Published date: 2000

Identifiers

Local EPrints ID: 54936
URI: http://eprints.soton.ac.uk/id/eprint/54936
ISSN: 0148-0227
PURE UUID: ef7fa48b-df2d-4127-b0fd-e7b43e546406

Catalogue record

Date deposited: 23 Jul 2008
Last modified: 22 Jul 2022 21:03

Export record

Contributors

Author: G. Ramillien
Author: I.C. Wright

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×