Heat and freshwater budgets over the Mediterranean area from a new 34-year MED-CORDEX hindcast Béranger K.*(1,2), Anquetin S.(2), Arsouze T.(1,3), Bastin, S.(1), Bouin M.-N.(4), Berthou S.(1), (2) (1) (6) (2) (1) Boudevillain B. , Claud C. , Lebeaupin Brossier , Delrieu G. , Dubois, C.(5), Drobinski P. , (2) (2) (1) (1) (6) (6) (1) Froidurot, S. , Molinié, G. , Polcher J. , Rysman J.-F. , Sevault, F. , Somot, S. , Stéfanon M. (*[email protected]) (1-IPSL, 2-LTHE, 3-ENSTA-ParisTech, 4-Météo-France/Brest, 5-Mercator Ocean, 6-CNRM) The companion atmospheric simulations Introduction : Two atmospheric multi-decadal hindcasts were done for the 1979-2012 period by running a dynamical downscaling of the ERAInterim reanalyses (Simmons et al., 2007) with the non hydrostatic WRF model (Skamarok et al 2009). In the perspective of being coupled to the ocean NEMO (Madec and the NEMO team, 2008) and land ORCHIDEE (Polcher, 2003) models to run hindcasts and scenarii, we focus our analyses on the Mediterranean heat (QNET) and freshwater (EMP) budgets, which may play an important role in the changes of the thermohaline circulation. Results are presented here for QNET and EMP, which climatological values are considered close to -5 W/m 2 and 0.7 m/yr respectively. Comparisons are done with several climatologies, for which a lart part is reported in Sevault et al. (2014). Besides, we looked at the precipitation over land too, which may have impacts on river runoff. Comparisons over regional to sub-regional land areas are done with the EOBS dataset for the precipitation and 2-m temperature (Haylock et al. 2008). The atmospheric companion simulations: The non hydrostatic WRF model (Skamarok et al 2009) (version 3.6.1) is used with 20-km horizontal resolution. The model is run over two areas covering the MED-CORDEX basin, that are called the MORCE1 and MORCE2 domains. The MORCE1 domain is those described by Drobinski et al. (2012) and MORCE2 is slightly larger to the north and east in order to better simulate the catchment basins. Compared to the previous configuration MORCE1 of Lebeaupin Brossier et al. (2011), the vertical resolution was increased from 28 to 44 σlevels and new parameterization sets are applied according to Di Luca et al. (2014). The radiative scheme is based on the Rapid Radiative Transfer Model (RRTM) (Mlawer et al., 1997) and the Dudhia (1989) parameterization for the longwave and shortwave radiation, respectively. The aerosol feedbacks from the parameterization of Alapathy et al. (2012) was applied with the climatology of Tegen et al. (2007). Precipitation and evaporation are solved throught the WRF Single-Moment 5-class microphysical scheme (Hong et al. 2004) and the Kain-Fritsch convection scheme (Kain 2004). The planetary boundary layer (PBL) scheme and a 2.5 level TKE scheme for the turbulent fluxes (MYNN; Nakanishi and Niino 2006) are applied. For the land surface, the RUC scheme with 6 layers (Smirnova et al. 1997) is used. The model time-step is 60s. A spectral nudging is applied for temperature, humidity and velocity components above the PBL to keep the chronology of the large scale atmospheric circulation. These simulations are compared to previous works of Lebeaupin Brossier et al. (2014,CLB2014) and Berthou et al. (2014, SB2014). The Mediterranean Sea heat budgets (W.m-2) Net heat flux (Lebeaupin Brossier C. et al. 2014) (Berthou S. et al. 2014) The 34-year climtology of precipitation from EOBS dataset. Full lines indicated the MORCE1 and MORCE2 domains of the companion simulations while small boxes indicate land areas of precipitation and 2-m temperature averages in both products. Net surface shortwave flux (W.m-2) -2 (W.m ) MORCE2 METEOSAT METEOSAT MSG NOCS SRB-QC ISCCP Seasonal cycle (1983-2005) (months) December Net surface shortwave flux (yr) July (yr) (figure including climatological estimates reported by Sevault et al. (2014)) (m/yr) Freshwater flux (yr) MORCE1 MORCE2 QNET (W.m-2) +2.42 -2.52 QLAT (W.m-2) -101.91 -105.61 QSNS (W.m-2) -14.63 -15.24 Q_IR (W.m-2) -81.31 -82.39 QSOL (W.m-2) 200.27 200.72 EMP (m/yr) 0.86 0.90 EVAP (m/yr) 1.29 1.33 PRECIP (m/yr) 0.43 0.43 (W.m-2) Latent heat flux NOCS OAFLUX (yr) 34-year climatological averages METEOSAT METEOSAT MORCE2 MORCE2 → The 34-year average QNET of -2.5W.m-2 in MORCE2 is in agreement with climatological estimates whereas its corresponding EMP of 0.9 m/yr is higher by 0.3 m/yr compared to climatological values. The cold period since 1999 is well reproduced as it is for the freshwater positive trend. Precipitation in sub-regions MED area (1979-2012) Alps (1979-2008) Cévennes-Vivrais (2008-2012) 30-year precipitation climatology 11-year precipitation occurrence climatology (2002-2012) Autumn (SON) Summer (JJA) MORCE2 (mm/day) MORCE2 (mm/day) MORCE2 (mm/month) 34-year precipitation climatology in MORCE2 (mm/day) (Isotta et al., 2014) (months) EOBS (Haylock et al., 2008) Its corresponding precipitation occurrence climatology MORCE2 OHMCV (Delrieu et al. 2014) 2008 2009 2010 2011 AMSU (Rysman et al. 2015) 2012 Interannual variability of P in OHMCV box P in Alpes box (1979-2008) (mm/month) → The precipitation climatology in MORCE2 is in agreement with the EOBS dataset. Using other datasets allow to identify some bias at sub-regional scales, maybe due to lacks in the EOBS station network. In the Alps zone, the interannual variability is better simulated than the seasonal cycle. In the Cevennes-Vivarais area, the simulated precipitation is underestimated, although the raining episodes are reproduced by the model. Compared to AMSU, the precipitation occurrence patterns are in some place well simulated, in particular over the sea, but the precipitation occurrence values seem to be surestimated by the model. EOBS (Haylock et al., 2008) References -Alapathy et al. (2012) Introducing subgrid-scale cloud feedbacks to radiation for regional meteorological and climate modeling , GRL 39, L24809. -SB2014 : Berthou, S.et al. (2014) Sensitivity of an intense rain event between atmosphere-only and atmosphere–ocean regional coupled models: 19 Septem-ber 1996, Q. J. R. Meteorol. Soc., DOI:10.1002/qj.2355. -Delrieu et al. (2014) Geostatistical radar-raingauge merging: a novel method for the quantification of rain estimation accuracy, Adv. Water Res. 71,110-124. DOI: 10.1016/j.advwatres.2014.06.005. -Di Luca et al. 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