A new high resolution tidal model in the Arctic Ocean

Mathilde Cancet (NOVELTIS, France)

CoAuthors

Ole Andersen (DTU Space, Denmark); Florent Lyard (LEGOS, France); David Cotton (SatOC, UK); Jérôme Benveniste (ESA/ESRIN, Italy)

Event: 2016 Ocean Surface Topography Science Team Meeting

Session: Tides, internal tides and high-frequency processes

Presentation type: Type Oral

The Arctic Ocean is a challenging region for tidal modeling, because of its complex and not well-documented bathymetry, together combined with the intermittent presence of sea ice and the fact that the in situ tidal observations are rather scarce at such high latitudes. As a consequence, the accuracy of the global tidal models decreases by several centimeters in the Polar Regions. In particular, it has a large impact on the quality of the satellite altimeter sea surface heights in these regions (ERS1/2, Envisat, CryoSat-2, SARAL/AltiKa and the future Sentinel-3 mission).
Better knowledge of the tides improves the quality of the high latitudes altimeter sea surface heights and of all derived products, such as the altimetry-derived geostrophic currents, the mean sea surface and the mean dynamic topography. In addition, accurate tidal models are highly strategic information for ever-growing maritime and industrial activities in this region.
NOVELTIS and DTU Space have developed a regional, high-resolution tidal atlas in the Arctic Ocean, in the framework of the CryoSat Plus for Ocean (CP4O) ESA project. In particular, this atlas benefits from the assimilation of the most complete satellite altimetry dataset ever used in this region, including Envisat data up to 82°N and the CryoSat-2 reprocessed data between 82°N and 88°N. The combination of all these satellites gives the best possible coverage of altimetry-derived tidal constituents. The available tide gauge data were also used for assimilation and validation.
This paper presents the performances of this new regional tidal model in the Arctic Ocean.
 

Oral presentation show times:

RoomStart DateEnd Date
Richelieu Wed, Nov 02 2016,11:00 Wed, Nov 02 2016,11:13
Mathilde Cancet
NOVELTIS
France
mathilde.cancet@noveltis.fr