System Description
Numerical model implementation
The model code is NEMO-OPA (Nucleus for European Modelling of the Ocean-Ocean PArallelise) version 3.2 off-line coupled with WAM (Wave Analysis Model). NEMO-OPA has been developed by Institut Pierre Simon Laplace, Laboratoire d’Oceanographie DYnamic et de Climatologie, Paris. A detailed description of the code can be found in Madec et al. (2008). The model is primitive equation in spherical coordinates.NEMO-OPA and WAM has been implemented in the Mediterranean at 1/16° x 1/16° horizontal resolution and 71 unevenly spaced vertical levels (Oddo et al., 2009). The model domain and the bathymetry are shown in below.
The Digital Bathymetric Data
Base Variable Resolution (DBDB-V)
has been used to make the model
cost line and bathymetry. The bathymetry
has been manually interpolated along
the Croatian coast by a comparison
with detailed nautical chart.
The model covers the entire
Mediterranean Sea and also
extends into the Atlantic. The model uses vertical
partial cells to fit the bottom
depth shape. The model is forced
by momentum, water and heat
fluxes interactively computed by
bulk formulae using the 6-h,
0.5° horizontal-resolution
operational analyses from the
European Centre for Medium-Range
Weather Forecasts (ECMWF) and the
model predicted surface
temperatures (details of the
air-sea physics are in Tonani et
al., 2008).
For what concerns the water balance (Evaporation-Precipitation-Runoff)
- Evaporation is derived from the latent heat flux;
- Precipitation is taken from monthly mean Climate Prediction Center Merged Analysis of Precipitation (CMAP) Data (Xie and Arkin, 1997);
- Runoff is composed of monthly mean climatological data. Only seven major rivers have been implemented: the Ebro, Nile and Rhone monthly values are from the Global Runoff Data Centre (Fekete et al., 1999) and the Adriatic rivers (Po, Vjosë, Seman and Bojana) are from Raicich (Raicich, 1996). In this model configuration the Dardanelles inflow has been parameterized as a river and its monthly climatological net inflow rates were taken from Kourafalou and Barbopoulos (2003).
The advection scheme for active tracers (temperature and salinity) is a mixed up-stream/MUSCL (Monotonic Upwind Scheme for Conservation Laws, Estubier and Lévy, 2000) scheme. The up-stream scheme is used in proximity of the river mouths, in the Gibraltar Strait and close to the Atlantic lateral boundaries. At Gibraltar, the up-stream scheme, together with an artificially increased vertical diffusivity, parameterizes the large mixing acting in this area due to the internal wave and tide breaking, which is not explicitly resolved by the model.
In the Atlantic the model is nested within the monthly mean climatological fields computed from the daily output of the ¼° x ¼° degrees global model (Drevillon et al., 2008). Details on the nesting techinique and major impacts on the model results can be found in Oddo et al., 2009.
The model levels are exactly at the following depths (meters):
1.472, 4.587, 7.944, 11.559, 15.449, 19.633, 24.133, 28.968,
34.164, 39.743, 45.733, 52.161, 59.058, 66.456, 74.390, 82.895,
92.011, 101.780, 112.247, 123.459, 135.467, 148.325, 162.092, 176.829,
192.603, 209.485, 227.548, 246.875, 267.551, 289.666, 313.320, 338.615,
365.663, 394.582, 425.499, 458.547, 493.870, 531.621, 571.962, 615.066,
661.117, 710.311, 762.857, 818.977, 878.906, 942.896, 1011.211, 1084.136,
1161.970, 1245.031, 1333.657, 1428.206, 1529.057, 1636.611, 1751.292, 1873.549,
2003.855, 2142.711, 2290.645, 2448.210, 2615.993, 2794.607, 2984.700, 3186.948,
3402.060, 3630.780, 3873.883, 4132.178, 4406.510, 4697.753, 5006.818, 5334.648
WAM model has been implemented on Mediterranean basin in the exact same region and with the exact same space resolution of the NEMO-OPA. The configuration used is with current interaction and without bottom interaction. The directions of the wave propagation have been divided in 24 bins. The range of the frequencies taken in to account for the external barotropic waves is within 0.05 Hz and 0.79316 Hz. This range has been discretized in 30 bins.
Data assimilation system
The data assimilation system is the 3DVAR scheme developed by Dobricic and Pinardi (2008 Ocean Modelling).The background error correlation matrix is estimated from the temporal variability of parameters in a historical model simulation. Background error correlation matrices vary seasonally and in 13 regions of the Mediterranean which have different physical characteristics (Dobricic et al 2006). The mean dynamic topography used for the assimilation of SLA has been computed by Dobricic et al. (2005).
The assimilated data include: sea level anomaly, sea surface temperature, in situ temperature profiles by VOS XBTs, in situ temperature and salinity profiles by ARGO floats, and in situ temperature and salinity profiles from CTD.
Satellite OA-SST data are used for the correction of surface heat fluxes with the relaxation constant of 40 W m-2 K-1.
Forecast and analysis cycle
The analysis is done weekly using a daily assimilation cycle. This means that in order to produce an analysis, the model is run for 24 hours and the analysis is produced at the end of the day assimilating all and only the data available in that time window (filter mode). The daily analysis cycle is done once a week, each Tuesday, producing 13 past analyses and the present day analysis. Each day a 10 days forecast is produced starting on Tuesday from an analysis and each of the successive six days from a model simulation. The figure below shows the detailed structure of the assimilation and simulation cycle for the daily forecast production.
References
- NEMO ocean engine, Note du Pole de mod´elisation,
Institut Pierre-Simon Laplace (IPSL), France, No 27
ISSN No 1288-1619.
- Roullet G. and
G. Madec, 2000:
Salt conservation,
free surface, and
varying levels:
a new formulation
for ocean general
circulation models.
J.G.R., 105, C10,
23,927-23,942.
- Tonani, M.,
N. Pinardi, S. Dobricic,
I. Pujol, and C.
Fratianni, 2008.
A high-resolution
free-surface model
of the Mediterranean
Sea. Ocean Sci.,
4, 1-14.
- Dobricic, S.,
N. Pinardi, M. Adani,
M. Tonani, C. Fratianni,
A. Bonazzi, and
V. Fernandez, 2007.
Daily oceanographic
analyses by Mediterranean
Forecasting System
at the basin scale.
Ocean Sci., 3, 149-157.
- Dobricic, S.
and N. Pinardi,
2008. An oceanographic
three-dimensional
variational data
ssimilation scheme.
Ocean Modelling,
22, 3-4, 89-105.
- Dobricic, S.,
2005. New mean dynamic
topography of the
mediterranean calculated
fron assimilation
system diagnostic.
GRL, 32.
- Pinardi, N., I. Allen, P. De Mey, G. Korres, A. Lascaratos, P.Y. Le Traon, C. Maillard, G. Manzella and C. Tziavos, 2003. The Mediterranean ocean Forecasting System: first phase of implementation (1998-2001). Ann. Geophys., 21, 1, 3-20.
- Oddo P., M. Adani N. Pinardi, C. Fratianni, M. Tonani, D. Pettenuzzo, 2009. A Nested Atlantic-Mediterranean Sea General Circulation Model for Operational Forecasting. Ocean Sci. Discuss., 6, 1093-1127.
- Dombrowsky E., L. Bertino, G.B. Brassington, E.P. Chassignet, F. Davidson, H.E. Hurlburt, M. Kamachi, T. Lee, M.J. Martin, S. Meu and M. Tonani 2009: GODAE Systems in operation, Oceanography, Volume 22-3, 83,95.
- Tonani M., N.Pinardi, M.Adani, A. Bonazzi, G.Coppini, M.De Dominicis, S.Dobricic, M.Drudi, N.Fabbroni, C.Fratianni, A.Grandi, S.Lyubartsev, P.Oddo, D.Pettenuzzo, J.Pistoia and I.Pujol, 2008. The Mediterranean ocean Forecasting system, Coastal to Global Operational Oceanography: Achievements and Challenges. Proceedings of the Fifth International Conference on EuroGOOS 20-22 May 2008, Exeter, UK, edited by H. Dahlin, EuroGOOS Office, Norrkoping, Sweden, M. J. Bell, Met Office, UK, N. C. Fleming, UK, S. E. Pietersson, EuroGOOS Office, Norrkoping, Sweden. First Published 2010, EuroGOOS Publication no.28, ISBN 978-91-974828-6-8.


