A COUPLED ATMOSPHERE-OCEAN MODELING SYSTEM FOR INVESTIGATING THE EXCEPTIONAL WINTER 2012 CONDITIONS IN THE NORTHERN

ADRIATIC SEA

b

Antonio Ricchi (Univ. “Parthenope”, Naples, Italy)

Sandro Carniel, Davide Bonaldo, Alvise Benetazzo, Andrea Bergamasco, Mauro Sclavo, F.M. Falcieri (CNR-ISMAR, Venice, Italy)

M.M Miglietta (CNR-ISAC, Lecce, Italy)

Bologna

Florence

Ancona

Trieste

Trieste

Venice

Rimini Inland

Venice

Bologna

Genova

Romagna coast

Cold wave in N Italy

North Adriatic Sea

COAWST configuration

SWAN setup:DT 1200 sec1 km res

ROMS setup• 30 levels• Dt 5 sec• 1 km resBC 3 hrs (MFSTEP model)Tide

WRF setup• 7 km res.• 60 vertical levels• DT 36 sec.• 1° level at 6 mtDataset USGS 1’x1’Landuse : USGS 1’x1’

1. CU : Kain2. MP : Lin et Al3. PBL : MYNN2.54. Surface S.: MJY5. Soil : Noah6. RW : RRTMG7. LW : RRTMG

INIT & BC : GFS-FNL 1°x1°SST : RTG_SST

ROMS/SWAN

WRF

Case description

WRF-StandAlone runs:

1. A_GFS: SST to GFS-SKIN

2. A_STA: SST to RTG_SST (1st timestep no evolution)

3. A_OML: SST to RTG_SST and OML for evolution

4. A_DIN: Dynamic update of SST, with RTG_SST every 6 hours

Coupled runs:

5. AO: Atmosphere <–> Ocean Coupling

6. AOW: Atmosphere <–> Ocean <–> Wave Coupling

Parameterization for A-O and A-O-W

#define ROMS_MODEL

#undef SWAN_MODEL

#define WRF_MODEL

#ifdef WRF_MODEL

# define ATM2OCN_FLUXES

# define ANA_SSFLUX

endif

#define ROMS_MODEL

#define SWAN_MODEL

#define WRF_MODEL

# define MCT_INTERP_OC2AT

# define MCT_INTERP_WV2AT

#define WEC_VF

#define WDISS_WAVEMOD

#define UV_KIRBY

#define COARE_TAYLOR_YELLAND

#ifdef WRF_MODEL

# define ATM2OCN_FLUXES

# define ANA_SSFLUX

#undef BULK_FLUXES

endif

COUPLING WAVE-CURR.

Wave in WRF

Comparing model performances

Heat Fluxes have been identified as a main source of uncertainty (Mihanovich et al. 2013)

Net Heat Fluxes patterns

WORST S.A

BEST S.A

A.O A.O.W

What COAWST made possible, and some open issues

Unprecedented (in the Adriatic) fully coupled Atmosphere-Ocean-Waves application

Significantly better atmosphere model performances with a high resolution, dynamic SST Atmosphere-Ocean interaction reduces atmosphere model drift over time.

Wave-Atmosphere interaction improves SST distribution BUT IT IS IMPORTANT TO UNDERSTAND PHYSICAL

Different masking between models gives rise to some phenomena involving ocean dynamics

Concerning grid issues