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Published byMarilyn Lee Modified over 9 years ago
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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)
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Bologna Florence Ancona Trieste Venice Rimini Inland Venice Bologna Genova Romagna coast Cold wave in N Italy
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North Adriatic Sea
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COAWST configuration SWAN setup: DT 1200 sec 1 km res ROMS setup 30 levels Dt 5 sec 1 km res BC 3 hrs (MFSTEP model) Tide WRF setup 7 km res. 60 vertical levels DT 36 sec. 1° level at 6 mt Dataset USGS 1’x1’ Landuse : USGS 1’x1’ 1.CU : Kain 2.MP : Lin et Al 3.PBL : MYNN2.5 4.Surface S.: MJY 5.Soil : Noah 6.RW : RRTMG 7.LW : RRTMG INIT & BC : GFS-FNL 1°x1° SST : RTG_SST ROMS/SWAN WRF
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Case description WRF-StandAlone runs: 1. A_GFS : SST to GFS-SKIN 2. A_STA: SST to RTG_SST (1 st 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: 1. AO: Atmosphere Ocean Coupling 2. AOW: Atmosphere Ocean Wave Coupling
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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
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Comparing model performances Heat Fluxes have been identified as a main source of uncertainty (Mihanovich et al. 2013)
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Net Heat Fluxes patterns WORST S.A BEST S.A A.OA.O.W
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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
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Concerning grid issues
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