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EurOCEAN 2000 - Vlaams Instituut voor de Zee

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allows the research community to fast communicate with the data acquisition systems and it<br />

can generate easily multiple users of the data itself as recommen<strong>de</strong>d by Molinari (1999).<br />

OCEAN MODELLING FOR FORECASTING AT THE BASIN SCALE<br />

AND IN THE SHELF AREAS<br />

The past ten years the Mediterranean research community has <strong>de</strong>veloped a suite of OGCM and<br />

regional mo<strong>de</strong>ls capable of simulating the seasonal and interannual variability of the basin<br />

currents with good accuracy (Korres et al., <strong>2000</strong>). The forecasting OGCM is at 1/8 X 1/8<strong>de</strong>gree<br />

resolution and 31 vertical levels and the assimilation/forecasting system is composed of<br />

four parts:<br />

1. The first consists of an assimilation engine partially <strong>de</strong>veloped in the project (DeMey and<br />

Benkiran, <strong>2000</strong>) which uses a reduced or<strong>de</strong>r Optimal Interpolation scheme with empirical<br />

orthogonal functions used to project in an assimilation subspace. The assimilation engine is<br />

used for both sea level anomalies and XBT with multivariate empirical functions. In<br />

practice, sea level anomaly is assimilated to give the first guess for the successive<br />

multivariate assimilation of temperature profiles from XBT. Thus the two data sets are<br />

assimilated sequentially. Both sea level anomaly and temperature profiles assimilation is<br />

multivariate but the sequential assimilation allows the usage of different empirical<br />

orthogonal functions that are optimized for the two different data sets.<br />

2. The second is a software interface between the atmospheric forcing parameters and the<br />

OGCM. This interface allows to drive the ocean mo<strong>de</strong>l every week from the previous week<br />

forecasting day (J0-7) to the present week starting forecast day (J0) with atmospheric<br />

analyses (hindcast mo<strong>de</strong>). Then the same interface couples the OGCM with ten days<br />

<strong>de</strong>terministic forecast surface parameters from the ECMWF (European Center for Medium<br />

range Weather Forecast, forecast mo<strong>de</strong>). The sea surface temperature data from satellite are<br />

used in the hindcast run to correct the surface heat fluxes by means of a flux correction term<br />

3. The third part is a software interface between the observed data and the assimilation engine,<br />

to feed the observations in the appropriate format to the mo<strong>de</strong>l.<br />

4. The fourth part is a post processing interface that translates the mo<strong>de</strong>l forecast to image<br />

products for Web publication and dissemination of information.<br />

The whole system is represented schematically in Fig.2<br />

The OGCM simulations are also used to initialize regional and shelf mo<strong>de</strong>ls that receive<br />

boundary fields at different time frequencies. The downscaling brings the OGCM 12.5 km<br />

resolution fields down to 1-2 km resolution in the shelf areas. This is at the base of the coastal<br />

forecasting system of the next phase, where the initialization of the regional and shelf mo<strong>de</strong>ls<br />

will crucially <strong>de</strong>pend upon the OGCM dynamical fields. The Mediterranean Sea shelf area is<br />

narrow and the general circulation can <strong>de</strong>termine a large portion of the coastal hydrodynamics<br />

variability. Thus two and three fold nesting is necessary to <strong>de</strong>velop the future experiments of<br />

near real time forecasting in the coastal areas.<br />

Finally, ecosystem mo<strong>de</strong>ls are also implemented and validated during MFSPP at several<br />

coastal test sites. The aim is to calibrate the ecosystem mo<strong>de</strong>l parameters in a one dimensional<br />

set up since it has been found that this is useful to un<strong>de</strong>rstand non generic mo<strong>de</strong>l parameters. In<br />

the next phase, it is hoped to start the simulations of the ecosystem variability with a fully<br />

coupled 3-D ecosystem mo<strong>de</strong>l based upon the shelf mo<strong>de</strong>ls <strong>de</strong>veloped in MFSPP.<br />

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