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Mediterranean Sea Basin Scale model

Sesame WP3 meeting Villefranche sur Mer, 25-26 Februay 2008. Mediterranean Sea Basin Scale model. P.Lazzari, S. Salon, A. Teruzzi, K.Beranger, A. Crise. OGS, Trieste.

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Mediterranean Sea Basin Scale model

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  1. Sesame WP3 meeting Villefranche sur Mer, 25-26 Februay 2008 Mediterranean Sea Basin Scale model P.Lazzari, S. Salon, A. Teruzzi, K.Beranger, A. Crise OGS, Trieste

  2. Coupling of a biogeochemical-hydrodynamical model of the system describing the cycles of azote, phosphorus, and carbon in the general circulation of the Mediterranean Sea; • Analyses of datasets coming from in situ and remote measurements and preparation of initial and boundary conditions; • Sensitivity analyses of the impacts in changing forcing on the trophic web; • Sinthetic Analyses of the results of numerical simulations and estimation of carbon fluxes in pelagic systems; Forcing fields (circulation) from INGV simulations: 1) Perform a hindcast climatological simulation (1970-2000) 2) Perform analyses of scenarios with A1B IPCC scenarios (2070-2100)

  3. Features of the transport modelOPATM-BFM Off-line physical-biochemical coupling • Transport model works using previously stored forcing data: temperature, salinity, 3D velocity, vertical eddy diffusion coefficients • In principle differents programs can be adopted tooriginate the forcing fields after an interpolation on the transport model grid Fully prognostic, data-free simulation Nutrients nudging in the Atlantic box No external inputs

  4. The BIOGEOCHEMICAL FLUX MODEL O Dissolved Gases O(2) Oxygen Organic Matter Z Mesozooplankton R O(3) Carbon dioxide Zi(3) Ri(1) Carnivorous Dissolved Zi(4) Ri(6) Omnivorous Particulate (detritus) Z N Inorganic Nutrients Microzooplankton Z Zi(5) N(1) Microzooplankton Phosphate N(3) (s.s.) Nitrate Zi(6) N(4) Heterotrophic Ammonium nanoflagellates N(5) L Photoadaptation Silicate N(6) LP(1) Red. Equivalents Diatoms Phytoplankton P LP(2) Pi(1) Diatoms Flagellates LP(3) Pi(2) Picophytoplankton Flagellates Bacterioplankton LP(4) Pi(3) Large Phyto. Picophytoplankton B Pi(4) Large Phyto. Bacteria (aerobic Bi and anaerobic) Pelagic Benthic flow Vectors (Functional Group or Ordinary State Variables) Scalars (Ordinary State Variables) Organic matter flow (C,N,P,Si) Inorganic nutrient flow (N,P,Si) Gas exchange Biogeochemical Model (M. Vichi )-http://www.bfm.cmcc.it/

  5. Element relevant for model simulations To produce the simulations • Physical forcings • State variables initialization (nutrients) • Boundary conditions (Straits) To analize the result • Biogeochemical Data (Chl-a, Carbon, …)

  6. MED16--ECMWF 1/16° degree resolution; 43 vertical levels Higher in Gibraltar Strait through curvilinear grid Initial conditions for dynamical model: T,S seasonal, climatology MODB-4 Atmospheric Forcing: ECMWF Analyses (0.5o) Daily fluxes 1/03/1998-2005 = 8 years Monthly runoff UNESCO TEST-0 SIMULATION FORCING AND I.C. USED IN THE DYNAMICAL MODEL SIMULATION

  7. Model needs … State variables initialization 3D Field are needed T=0 “single frame” climatology is used

  8. Initialization of nutrients fields Medar Medatlas DATASET vertical profiles phosphates, nitrates, silicates, oxygen

  9. Model needs … Boundary conditions 2D Field are needed T=0 … T=Tfin “Seasonal fileds Used”

  10. Vertical profiles applied in the Atlantic Area

  11. Atmospherical, riverine input Nutrients, but also DOM can be relevant for total budget

  12. Diffusive attenuation coefficient from satellite SeaWiFS data http://seadas.gsfc.nasa.gov/PRODUCTS/SW_k490.html Data provided by Gianluca Volpe and Lia Santoleri 1997-2004 Climatological Seasons With coastal area Without coastal area

  13. Model qualification The qualification of the model is on-going. The procedures described in the MERSEA technical report MERSEA-WP05-MERCA-STR-0007-1A0 List of internal metrics, specifications for implementation are applied: here are presented Class 1 consistency tests Consistency test: comparison between patterns of chlorophyll content obtained by satellite data and model outputs Satellite data reprocessed by GOS-ISAC-CNR (Gianluca Volpe)

  14. Comparison of OPATM-BFM Model Surface Chla and Satellite

  15. Data from Oubhelkeir et al, 2005

  16. Estimate of the Primary Production 1999-2000-2001

  17. Deliverable 4.5.1.1First hindcasts from Mediterranean sea basin scale model available from ftp that can be used to force regional Mediterranean sea models at their open boundaries RUN1: First multi-annual simulation (1998-2005) - Climatological year. • Ancillary files are also provided: • - clim.ctl file to handle the monthly files (GrADS) • BFM_var_list.m file containing all biogeochemical variables label (Matlab); • - read_mesh.m file to load meshmask data (Matlab); • - read_avedat.m file to load biogeochemical data(Matlab). For further details and to download the data please contact: ogsmod.sesame@inogs.it

  18. Thanks

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