An updated EOT model: first impressions from the North Sea

Gaia Piccioni (DGFI-TUM, Germany)


Denise Dettmering (DGFI-TUM, Germany); Christian Schwatke (DGFI-TUM, Germany); Wolfgang Bosch (DGFI-TUM, Germany); Florian Seitz (DGFI-TUM, Germany)

Event: 2018 Ocean Surface Topography Science Team Meeting

Session: Tides, internal tides and high-frequency processes

Presentation type: Type Poster

The accuracy of ocean tide models has largely improved over the last decades as a result of enhanced modelling techniques and the use of satellite altimetry. In the latest comprehensive assessment on ocean tide models by Stammer et al. 2014, the DGFI-TUM’s altimetry-based model (the EOT11a) showed performances in line with the available coexistent global models. A new version of the EOT model – namely the EOT18 - was recently implemented, and takes advantage of the latest progresses in altimetry. The method used to derive the single tidal constituents is a least-squares based harmonic analysis, performed on Sea Level Anomalies corrected for the FES2014 tide model. Fifteen tidal constituents are computed on a regular grid with resolution of 1/8°. For each grid node, altimetric observations are selected within a radius of 330 km, and weighted with a Gaussian function dependent on the distance to the node. The data used for this purpose are taken from NASA and ESA missions and cover a period of circa 25 years. In this work we present the first regional assessment of the EOT18. The region chosen for this purpose is the North Sea, characterized by a large number of in-situ observations, which allow an analysis of the model’s open-ocean and coastal performances. A direct comparison with other tide models (such as FES2014, TPXO8, GOT4.10a, DTU10, and the former EOT11a) will also be shown, in order to highlight the differences at the coast, where larger discrepancies are expected.

Poster show times:

RoomStart DateEnd Date
Foyer, Salao Nobre & tent Thu, Sep 27 2018,18:00 Thu, Sep 27 2018,20:00
Foyer, Salao Nobre & tent Fri, Sep 28 2018,14:00 Fri, Sep 28 2018,15:00
Gaia Piccioni