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68<br />

question E. Finally a 10-member ensemble of ALADIN-<br />

Climate forced in a Perfect Big Brother approach allows to<br />

assess the impact of the internal variability of RCMs. The<br />

numerical set-up of this suite of RCM experiments is<br />

described in detailed in the following papers: Elguindi et al.<br />

(in preparation, question A); Herrmann and Somot (2008,<br />

question C), Radu et al. (2008, question C); Somot et al.<br />

(2008, question D), SanchezGomez et al. (2008, question E)<br />

and SanchezGomez et al. (in preparation, question F).<br />

4. Observations estimates<br />

In the literature, using surface observational datasets, the<br />

MSWB estimates range from 520 to 950 mm/yr whereas the<br />

Gibraltar Strait estimates of the water budget range from 630<br />

to 1135 mm/yr. Other authors estimated the MSWB using<br />

low resolution reanalysis and obtained a lower range going<br />

from 391 to 524 mm/yr.<br />

In our study, different surface datasets have been used to<br />

estimate the MSWB. This surface datasets are derived from<br />

in-situ and/or satellite measurements (see Table 1). This<br />

observation estimates are used to evaluate and to sort out<br />

between the different modeling techniques.<br />

Variable Dataset Period<br />

Evaporation OAFlux<br />

HOAPS<br />

1958-2006<br />

1988-2006<br />

Precipitation GPCP<br />

HOAPS<br />

1979-2003<br />

1988-2006<br />

River discharge Ludwig et al. (2009) 1960-2000<br />

Black sea discharge Stanev et al. (2000) 1923-1997<br />

Short wave ISCCP<br />

NOC<br />

1983-2008<br />

1983-2006<br />

Long wave ISCCP<br />

NOC<br />

1983-2008<br />

1983-2006<br />

Latent Heat OAFlux<br />

NOC<br />

1958-2006<br />

1983-2006<br />

Sensible Heat OAFlux<br />

NOC<br />

1958-2006<br />

1983-2006<br />

Table 1: Observation dataset allowing to evaluate the<br />

Mediterranean Sea Water Budget and its components.<br />

5. Results<br />

Following the 6 main scientific issues defined in section 2<br />

and the RCM experiments defined in section 3, we analyze<br />

how the design of the RCMs impacts the mean behaviour,<br />

the interannual variability and the trends of the MSWB.<br />

The increase in spatial resolution from IPCC-like model to<br />

state-of-the-art RCM improves the representation of the<br />

MSWB in increasing the total water loss by the<br />

Mediterranean Sea surface in agreement with the Gibraltar<br />

Strait observed estimates. The choice of the RCM (same<br />

resolution, same LBC, different set-up and physics) leads to<br />

a large spread in terms of MSWB estimates. The highfrequency<br />

air-sea coupling seems also to impact the MSWB<br />

even if other coupled simulations are required to legitimate<br />

this result. Impact of the RCM internal variability, of the<br />

nudging technique and of the modeling technique is also<br />

investigated.<br />

6. Perspectives<br />

A large part of the results relies on the ARPEGE-<br />

ALADIN-Climate models and can therefore be modeldependent.<br />

A broader analysis of the Mediterranean Sea<br />

Water Budget using other AORCM or Regional Earth<br />

System model should be carried out. Moreover the<br />

uncertainty of the observed estimates of the MSWB can be<br />

considered as a limitation of such a study and should be<br />

reduced in the future through a intense in-situ and remote<br />

observing effort. Both tasks are planned in an international<br />

coordinated framework during the 2010-2020 HyMex<br />

project (www.cnrm.meteo.fr/hymex/).<br />

References<br />

Elguindi N., Somot S., Déqué, M., Ludwig, Climate<br />

chnage evolution of the hydrological balance of the<br />

Mediterranean, Black and Caspians Seas: impact of<br />

climate model resolution, Clim. Dyn, in preparation.<br />

Ludwig, W., Dumont, E., Meybeck, M., and Heussner, S.,<br />

River discharges of water and nutrients to the<br />

Mediterranean Sea: Major drivers for ecosystem<br />

changes during past and future decades, Progress In<br />

Oceanography, accepted, 2009<br />

Radu R., Déqué M. and Somot S., Spectral nudging in a<br />

spectral regional climate model, Tellus, 60A(5):885-<br />

897. doi: 10.1111/j.1600-0870.2008.00343.x, 2008<br />

SanchezGomez E., S. Somot, M. Déqué, Ability of an<br />

ensemble of regional climate models to reproduce the<br />

weather regimes during the period 1961-2000. Clim.<br />

Dyn., doi:10.1007/s00382-008-0502-7, 2008<br />

SanchezGomez E, S. Somot, N. Elguindi, S. Josey,<br />

Simulation of the Water and Heat budgets in the<br />

Mediterranean Sea by an ensemble of high resolution<br />

Regional Climate Models experiments, Clim. Dyn., in<br />

preparation<br />

Somot S. , Sevault F., Déqué M., Crépon M., 21st century<br />

climate change scenario for the Mediterranean using a<br />

coupled Atmosphere-Ocean Regional Climate Model.<br />

Global and Planetary Change, 63(2-3), pp. 112-126,<br />

doi:10.1016/j.gloplacha.2007.10.003, 2008<br />

Herrmann, M. J., and S. Somot, Relevance of ERA40<br />

dynamical downscaling for modeling deep convection<br />

in the Mediterranean Sea, Geophys. Res. Lett., 35,<br />

L04607, doi:10.1029/2007GL032442, 2008<br />

Stanev E.V. Le Traon P.Y. and Peneve E.L., Sea level<br />

variations and their dependency on meteorological and<br />

hydrological forcing : analysis of altimeter and surface<br />

data for the Black Sea, J. Geophys. Res., 105, 17203-<br />

17216, 2000

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