Improving the Coastal Mean Dynamic Topography by Geodetic Combination of Tide Gauge and Satellite Altimetry

Andersen, Ole Baltazar; Nielsen, Karina; Knudsen, Per; Hughes, Chris W. ORCID: https://orcid.org/0000-0002-9355-0233; Bingham, Rory; Fenoglio-Marc, Luciana; Gravelle, Médéric; Kern, Michael; Polo, Sara Padilla. 2018 Improving the Coastal Mean Dynamic Topography by Geodetic Combination of Tide Gauge and Satellite Altimetry. Marine Geodesy. 1-29. https://doi.org/10.1080/01490419.2018.1530320 (In Press)

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Official URL: http://dx.doi.org/10.1080/01490419.2018.1530320

Abstract/Summary

The ocean mean dynamic topography (MDT) is the surface representation of the ocean circulation. The MDT may be determined by the ocean approach, which involves temporal averaging of numerical ocean circulation model information, or by the geodetic approach, wherein the MDT is derived using the ellipsoidal height of the mean sea surface (MSS), or mean sea level (MSL) minus the geoid as the geoid. The ellipsoidal height of the MSS might be estimated either by satellite or coastal tide gauges by connecting the tide gauge datum to the Earth-centred reference frame. In this article we present a novel approach to improve the coastal MDT, where the solution is based on both satellite altimetry and tide gauge data using new set of 302 tide gauges with ellipsoidal heights through the SONEL network. The approach was evaluated for the Northeast Atlantic coast where a dense network of GNSS-surveyed tide gauges is available. The typical misfit between tide gauge and satellite or oceanographic MDT was found to be around 9 cm. This misfit was found to be mainly due to small scale geoid errors. Similarly, we found, that a single tide gauge places only weak constraints on the coastal dynamic topography.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1080/01490419.2018.1530320
ISSN:	0149-0419
Date made live:	08 Jan 2019 16:33 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/521993

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.1080/01490419.2018.1530320

ISSN:

0149-0419

Date made live:

08 Jan 2019 16:33 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/521993