decadal simulations of the mediterranean sea ecosystem with a 3d biogeochemical model crise...
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Decadal simulations of the Mediterranean Sea ecosystem with a 3D Biogeochemical model
CRISE ALESSANDRO1, LAZZARI PAOLO1, SALON STEFANO1, TREVISANI SEBASTIANO1, BERANGER KARINE2, SCHRÖDER KATRIN3
1-Istituto Nazionale di Oceanografia e di Geofisica Sperimentale (OGS), Trieste, Italy2-Ecole Nationale Supérieure de Techniques Avancées (ENSTA), Paris, France3-CNR ISMAR Sezione di La Spezia, Italy
Workshop W10 Vector Rimini 10-11 Settembre 2007
VECTOR Activity 8.6
6.3) Coupling of a biogeochemical-hydrodynamical model of the system describing the cycles of azote, phosphorus, and carbon with the general circulation of the Mediterranean Sea;
6.4) Analyses of datasets coming from in situ and remote measurements and preparation of initial and boundary conditions;
6.5) Sensitivity analyses of the impacts in changing forcing on the trophic web;
6.7) Synthetic analyses of the result of numerical simulations and estimation of carbon fluxes in pelagic systems;
Overall objective: estimate the present export of carbon from the productive layer
follow the fate of the export production
General framework: biological pump estimate
dtz
PONw
z
DONtw
z
NOk
ztwsmsdt
t
Nst
t
)())((0 3
The vertical flux in nitrogen is supposed to be balanced
on an annual scale integrated over the basin (Eppley and Peterson, 1979 revisited)
sms= land input+river load+atmospheric input-Gibraltar budget
Nitrogen input at the base of the euphotic zone
Nitrogen export at the baseof the euphotic zone
Steady state
Biological carbon cycle is non linearly coupled with nutrient cycles
unfortunately
Diatoms
Flagellates
Picophytoplankton
L PhotoadaptationL
P(1)
Large Phyto.LP(4)
LP(2)
LP(3)
Oxygen
Carbon dioxide
O Dissolved Gases
O(2)
O(3)
Phosphate
Nitrate
Ammonium
Silicate
N Inorganic NutrientsN(1)
N(3)
N(5)
Red. EquivalentsN(6)
N(4)
ZMicrozooplankton
(s.s.)
Heterotrophic
nanoflagellates
MicrozooplanktonZ
i(5)
Zi(6)
Carnivorous
Omnivorous
Z Mesozooplankton
Zi(3)
Zi(4)
B
Bacteria (aerobic
and anaerobic)
Bacterioplankton
Bi
Dissolved
Particulate (detritus)
R Organic Matter
Ri(1)
Ri(6)
Diatoms
Flagellates
Picophytoplankton
P PhytoplanktonP
i(1)
Large Phyto.Pi(4)
Pi(2)
Pi(3)
Vectors (Functional Group or Ordinary State Variables)
Organic matter flow (C,N,P,Si)
Inorganic nutrient flow (N,P,Si)
Gas exchange
Benthic-Pelagic flow
Scalars (Ordinary State Variables)
Z
The BIOGEOCHEMICAL FLUX MODELThe BIOGEOCHEMICAL FLUX MODEL
interpolation interpolation1/8° OGS/OPA Tracer Model
•V. Eddy Diffusivity
•Velocity field
•Wind speed
Biogeochemical source terms
Lateral and surface BCs
ORCA2/PISCES (global)
Physical source terms
Mesh/masks
(curvilinear coordinates)
Temperature
Salinity
Radiative fluxes
River runoff/loadOffl
ine
Dyn
am
ics
Tr a
nsp
ort
Bio
logy
Biogeochemical Flux Model
Numerical tool: Mediterranan Sea eco-hydrodinamical coupled modelStructure
1/16 dynamical model
Ongoing work: mesh of the physical model PAM/PSY2v1 MED16 model
http://www.lodyc.jussieu.fr/equipes/mediterranee/project/med16
PAM (Drillet et al. 2001) CERFACSCode: OPA (Madec et al. 1997)
FORCING AND I.C. USED IN THE DYNAMICAL MODEL SIMULATION
MED16--ECMWF1/16° degree resolution; 43 vertical levelsHigher 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 1/03/1998-2006 = 9 yearsMonthly runoff UNESCO
Medar Medatlas DATASET vertical profiles
Initialization of nutrients fields
phosphates, nitrates, silicates, oxygen
Diffusive attenuation coefficient from satellite SeaWiFS data http://seadas.gsfc.nasa.gov/PRODUCTS/SW_k490.html
With coastal area Without coastal area
1997-2004 Climatological Seasons
Data provided by Gianluca Volpe and Lia Santoleri
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 in the
First optical depth obtained by satellite data and model outputs
Comparison of OPA Model Surface Chla and Satellite data
Comparison of OPA Model Surface Chla and Satellite data
Comparison of OPA Model Surface Chla and Satellite data
Comparison of OPA Model Surface Chla and Satellite data
Comparison of OPA Model Surface Chla and Satellite data
Hovmoller diagram for chl-a
From DYFAMED station measurements (Marty et al, 2002)
Hovmoller diagram for chl-a (shaded) and phosphate (contour)
in the area of DYFAMED station 7° 52’ E, 43° 52’ N
NO CONCLUSIONS