a coupled atmosphere-ocean modeling system for investigating the exceptional winter 2012 conditions...
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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