Implementation of the SEEK filter in HYCOM
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1 Implementation of the SEEK filter in HYCOM P. Brasseur, J. Verron, J.M. Brankart LEGI/CNRS, Grenoble, France HYCOM model SST, SSH, ocean colour Assimilation SEEK filter Y H x f In situ, XBT K x a Real-time forecasts: since October 2000
2 The SEEK filter vs. ensemble methods Philosophy : Sequential corrections along privileged directions of error growth S n The Ocean s attractor Initial ensemble Forecast error sub-space S n+1 Ensemble forecast
3 Correction step with a HYCOM state vector Statistical analysis Adjustment SSH f TP, Jason, ERS SSH a SSH a (d)p f Levitus, hydrography (d)p a Cooper-Haines dp >dpmin (d)p r 3D T f 3D S f 3D AVHRR SST + Levitus, hydrography T a 3D S a 3D Min-max thresolds + hydrostatic check T r 3D S r 3D U f baclin U f baclin Geostrophic balance U r baclin U f U f U f P f forecast SEEK error sub-space P f analysis model constraints P f restart
4 Data assimilation experiments Configuration Horizontal grid: 1/3 (402 x 421 grid points) 28 S to 70 N (including the Mediterranean Sea) 26 vertical layers, ETOPO5 bathymetry Mixed layer: KPP Assimilation setup Assimilation period: Oct / Dec.1996 SEEK algorithm: fixed basis (+ adaptive) Assimilation cycle: 3 days No assimilation between 8 N / 8 S Model spin-up ECMWF monthly climatological forcings during 9 years ECMWF re-analysis data between 1985 and 1992
5 Assimilation experiments 1. Reference hindcast experiment ( ) 2. Mean SSH : sensitivity experiments (1993) 3. SSS assimilation: sensitivity experiment (1993) 4. In situ data assimilation: profile experiments (June 1993) 5. Real-time demonstration (July 2003)
6 Hindcast experiment: assimilated data TP/ERS along track data August 19-26,1993 AVHRR SST August 19-26,1993 Climatological SSS Monthly Levitus
7 RMS misfit to assimilated data SSH SST Free run SSS Analysis Forecast
8 Velocity field at 50 m (1993 average) Free run Assimilation
9 Verification in the Gulf Stream region Temperature 200 m depth Assimilation Climatology Temperature misfit Free run Analysis Forecast RMS to CLIM RMS to XBTs
10 Zonal velocity at 72 W Free run Assimilation
11 Sensitivity experiments: Impact of the Mean SSH MSSH Free run MSSH P. Legrand EXP2 MSSH CLS EXP1 MSSH MICOM EXP3
12 1993 Barotropic Stream Function Free run EXP2 EXP1 EXP3
13 1993 Eddy Kinetic Energy Free run EXP2 EXP1 EXP3
14 Mixed-Layer Depth forecast : March 15th, 1993 Free run EXP2 EXP1 EXP3
15 RMS misfit to in situ data Misfit to Tclim Free run Climatology Misfit to Sclim EXP1: CLS EXP2: P. Legrand EXP3: MICOM Misfit to XBTs
16 Impact of climatological SSS assimilation (I) Mean SSS averaged over 1-year (Oct Oct. 93) CLIMATOLOGY ASSIMILATION OF SSH, SST AND SSS ASSIMILATION OF SSH AND SST
17 Impact of climatological SSS assimilation (II) SSS rms misfit (PSU) ASSIMILATION OF SSH, SST AND SSS SSS rms misfit (PSU) ASSIMILATION OF SSH AND SST
18 Impact of in situ T/S profile analysis on SSH
19 Evolution of Temperature increment: Azores profile (34 N, 20 W) Analysis After 10 days After 20 days
20 Surface increment of SSH after a 10-day forecast
21 Surface increment of SST after a 10 day-forecast
22 Surface increment of SSS after a 10 day-forecast
23 Real-time demonstration experiment: the weekly cycle
24 Gulf Stream analyses: Jun GOOS/CoastWatch (J Trinanes, NOAA/AOML ) HYCOM/OI (O.M. Smedstad, PSI) TOPAZ/SEEK (J.M. Brankart, CNRS/LEGI) MERCATOR/SOFA (P. DeMey CNRS/LEGOS)
25 Gulf Stream forecast: Jul GOOS/CoastWatch (J Trinanes, NOAA/AOML ) TOPAZ/SEEK (J.M. Brankart, CNRS/LEGI)
26 Future plans and research activities SEEK/HYCOM 1. Nested-grid data assimilation with HYCOM 2. From deep ocean towards the shelf 3. Transition of a SEEK prototype for intercomparison exp. SEEK/OPA 1. MERCATOR: implementation in the 1/15 North Atlantic 2. E.U. MERSEA project: - further R&D in the perspective of global HR prototypes - assimilation into 1/3 NA coupled physical/npzd model 3. SEEK smoother in the Tropical Pacific
27 Discussion
28 Towards operational D.A. implementations : a few guidelines 1. Theoretical framework: from OI to Ensemble Methods 2. Computer cost (and human resources!) 3. Assimilation of multivariate data: SLA, SST, clim SSS in situ profiles, 4. Scientific community working on research and development in the long term
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