Low (web) Quality - BALTEX
Low (web) Quality - BALTEX
Low (web) Quality - BALTEX
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
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