Decadal simulations of the Mediterranean Sea ecosystem with a 3D Biogeochemical model CRISE ALESSANDRO 1, LAZZARI PAOLO 1, SALON STEFANO 1, TREVISANI SEBASTIANO.

Slides:



Advertisements
Similar presentations
The development and generation of the long term Mediterranean SSR products Rosalia Santoleri, Gianluca Volpe, Cristina Tronconi, Roberto Sciarra Istituto.
Advertisements

An atmosphere-ocean coupled regional climate model for the Mediterranean Alberto Elizalde Daniela Jacob Uwe Mikolajewicz Max Planck Institute for Meterology.
MEsoSCale dynamical Analysis through combined model, satellite and in situ data PI: Bruno Buongiorno Nardelli 1 Co-PI: Ananda Pascual 2 & Marie-Hélène.
Development and validation of a Benthic Flux Model for the Adriatic Sea Presenter: F. Zaffagnini Zaffagnini F. 1, Vichi.
MyOcean2 First Annual Meeting – April 2013 WP 10 MONITORING & FORECASTING CENTRE for Mediterranean sea MyOcean2 First Annual Meeting – Cork /16-17.
ESSI2 - 7 April 2011 E-Infrastructures for the operational forecasts of the biogeochemical state of Mediterranean Sea: experiences from DORII and MyOcean.
Zuchuan Li, Nicolas Cassar Division of Earth and Ocean Sciences Nicholas School of the Environment Duke University Estimation of Net Community Production.
Geographical Information System & Modelling LIFE02/ENV/P/
Experiments with Monthly Satellite Ocean Color Fields in a NCEP Operational Ocean Forecast System PI: Eric Bayler, NESDIS/STAR Co-I: David Behringer, NWS/NCEP/EMC/GCWMB.
Mixed layer depth variability and phytoplankton phenology in the Mediterranean Sea H. Lavigne 1, F. D’Ortenzio 1, M. Ribera d’Alcalà 2, H. Claustre 1 1.Laboratoire.
THE STUDY OF BIOGEOCHEMICAL CYCLES AND RELATED SEDIMENT FLUXES: THE IOC-BSRC PROJECT PROPOSAL Could such a project idea be developed into an EC FP Integrated.
Working Group 4 Coastal Biogeochemistry Forum, June 23-25, 2004 K. Lindsay, G. McKinley, C. Nevison, K. Plattner, R. Seifert Can coastal ecosystems be.
WP12. Hindcast and scenario studies on coastal-shelf climate and ecosystem variability and change Why? (in addition to the call text) Need to relate “today’s”
Ecosystem composition and CO 2 flux variability Corinne Le Quéré Max-Planck-Institut für Biogeochemie, Jena, Germany now at University of East Anglia/British.
11 MEDATLAS 2002: database and data management system for the long term monitoring of Mediterranean and Black seas EC-MAST Concerted Action (MAS3-CT /ERBIC20-CT
COLLABORATORS: P. Estrade, S. Herbette, C. Lett, A. Peliz, C. Roy, B. Sow, C. Roy EDDY-DRIVEN DISPERSION IN COASTAL UPWELLING SYSTEMS California Canary.
River discharge into the Mediterranean Sea and estimation of the associated nutrient load Task O.G.S.: Alessandro Crise, Cosimo Solidoro, Sebastiano.
Open Oceans: Pelagic Ecosystems II
A T HREE- D IMENSIONAL W ATER Q UALITY M ODEL OF S OUTHERN P UGET S OUND Greg Pelletier, P.E., Mindy Roberts, P.E., Skip Albertson, P.E., and Jan Newton,
Land Ocean Coupling Coupling riverine fluxes of nutrients to a Global Biogeochemical Ocean General Circulation Model Christophe Bernard,
Quality Assessment of a Mediterranean Sea Reanalysis M. Adani, G. Coppini, C.Fratianni, P.Oddo, M.Tonani, GNOO, INGV Sez Bologna N. Pinardi,
Pedro Alcântara, Alexandra Cravo & José Jacob CIMA - FCMA, University of Algarve, Campus de Gambelas, Faro, Portugal Variability of nutrients.
MAMA Malta meeting, January 2004 Expert Meeting Towards Operational ecological models in coastal areas
Courtney K. Harris Virginia Institute of Marine Sciences In collaboration with Katja Fennel and Robin Wilson (Dalhousie), Rob Hetland (TAMU), Kevin Xu.
Collaborative Research: Toward reanalysis of the Arctic Climate System—sea ice and ocean reconstruction with data assimilation Synthesis of Arctic System.
NOCS: NEMO activities in 2006 Preliminary tests of a full “LOBSTER” biogechemical model within the ORCA1 configuration. (6 extra passive tracers). Developed.
Aqua Case Mussel culture area- Chalastra Thessaloniki Exercise Environmental Impacts of mussel farming o n water quality. Amalia Moriki, Sofia Galinou-Mitsoudi,
Regional Advanced School on Physical and Mathematical Tools for the study of Marine Processes of Coastal Areas Physical and Biogeochemical Coupled Modelling.
SEASONAL CHANGES IN BENTHIC FLUXES AND NET ECOSYSTEM METABOLISM IN THE RIA DE VIGO (NW SPAIN) F. Alonso-Pérez, Carmen G. Castro, Zuñiga, D., B. Arbones.
Potential benefits from data assimilation of carbon observations for modellers and observers - prerequisites and current state J. Segschneider, Max-Planck-Institute.
SEADATANET Kick-Off Meeting Heraklion 8-10 June 2006 National Institute of Geophisics and Volcanology, Italy (INGV) SEADATANET Joint Reasearch Activities.
Dale haidvogel Nested Modeling Studies on the Northeast U.S. Continental Shelves Dale B. Haidvogel John Wilkin, Katja Fennel, Hernan.
Downscaling Future Climate Scenarios for the North Sea 2006 ROMS/TOMS Workshop, Alcalá de Henares, 6-8 November Bjørn Ådlandsvik Institute of Marine Research.
Ocean Color Remote Sensing Pete Strutton, COAS/OSU.
The Influence of the Indonesian Throughflow on the Eastern Pacific Biogeochimical Conditions Fig.1 The last year of the two runs is used to force offline.
U.S. Eastern Continental Shelf Carbon Budget: Modeling, Data Assimilation, and Analysis U.S. ECoS Science Team* ABSTRACT. The U.S. Eastern Continental.
2nd GODAE Observing System Evaluation Workshop - June Ocean state estimates from the observations Contributions and complementarities of Argo,
Introduction to Ecosystem Monitoring and Metabolism
Development of ocean color algorithms in the Mediterranean Sea Rosalia Santoleri 1,, Gianluca Volpe 1, Simone Colella 1,3, Salvatore Marullo 2, Maurizio.
BIOSOPE CRUISE Laboratoire d’Océanographie et de Biogéochimie Campus de Luminy Marseille cedex 09 Patrick RAIMBAULT Nicole GARCIA Gerd SLAWYK Main.
Mediterranean Sea Basin Scale model P.Lazzari, S. Salon, A. Teruzzi, K.Beranger, A. Crise Sesame WP3 meeting Villefranche sur Mer, Februay 2008 OGS,
 Instrumentation  CTD  Dissolved Oxygen Sensor  ADCP/ Current Meters  Oxygen Titrations  Nutrient Concentrations Circulation and Chemical Tracer.
U.S. ECoS U.S. Eastern Continental Shelf Carbon Budget: Modeling, Data Assimilation, and Analysis A project of the NASA Earth System Enterprise Interdisciplinary.
WP3.10 Cross-assessment of CCI-ECVs over the Mediterranean domain.
Tracking the fate of carbon in the ocean using thorium-234 Ken Buesseler Dept. of Marine Chemistry and Geochemistry Woods Hole Oceanographic Institution.
1 Dynamics of nutrients in the Gdańsk Gulf; numerical simulations.
Near real time forecasting of biogeochemistry in global GCMs Rosa Barciela, NCOF, Met Office
U.S. ECoS U.S. Eastern Continental Shelf Carbon Budget: Modeling, Data Assimilation, and Analysis A project of the NASA Earth System Enterprise Interdisciplinary.
Marine Ecosystem Simulations in the Community Climate System Model
Uncertainty assessment of state- of-the-art coupled physical- biogeochemical models for the Baltic Sea BONUS Annual Conference 2010 Presentation: Kari.
Primary production and the carbonate system in the Mediterranean Sea
Ocean Biological Modeling and Assimilation of Ocean Color Data Watson Gregg NASA/GSFC/Global Modeling and Assimilation Office Assimilation Objectives:
Regional Advanced School on Physical and Mathematical Tools for the study of Marine Processes of Coastal Areas Physical and Biogeochemical Coupled Modelling.
“Upwelling of south region of Gulf of California. Fluxes of CO 2 and nutrients ” Leticia Espinosa Diana Escobedo (IPN-CIIDIR SINALOA)
Modeling and Data Assimilation in Support of ACE Watson Gregg NASA/GSFC/Global Modeling and Assimilation Office Supporting data and publications: Google.
Carbon cycling and optics in the Gulf of Maine: Observations and Modeling Joe Salisbury Doug Vandemark Janet Campbell Fei Chai Huijie Xue Amala Mahatavan.
Environmental Monitoring in the Black Sea Meeting Name, Dates, Venue Joint Survey Prepared by: Alexander Mikaelyan with contribution of Jaroslav Slobodnik,
THE BC SHELF ROMS MODEL THE BC SHELF ROMS MODEL Diane Masson, Isaak Fain, Mike Foreman Institute of Ocean Sciences Fisheries and Oceans, Canada The Canadian.
Modeling phytoplankton seasonal variation and nutrients budget of a Semi-Arid region ecosystem in the Southern Mediterranean Sea: -Case of the Bizerte.
Incorporating Satellite Time-Series data into Modeling Watson Gregg NASA/GSFC/Global Modeling and Assimilation Office Topics: Models, Satellite, and In.
Nitrogen loading from forested catchments Marie Korppoo VEMALA catchment meeting, 25/09/2012 Marie Korppoo, Markus Huttunen 12/02/2015 Open DATA: Nutrient.
PROVIDING DATA SERVICES FOR THE MEDITERRANEAN AND BLACK SEAS
Water, salt, and heat budget
Operational Oceanography Science and Services for Europe and Mediterranean Srdjan Dobricic, CMCC, Bologna, Italy on behalf of National Group of Operational.
Elizabeth River PCB TMDL Study: Numerical Modeling Approach
James River PCB TMDL Study: Numerical Modeling Approach
The effect of ship Nox deposition on cyanobacteria blooms
Frontier Research System for Global Change,
Eutrophication indicators PSA & EUTRISK
ARCTIC SYNTHESIS Ecosystem Modeling Status Yvette H
Presentation transcript:

Decadal simulations of the Mediterranean Sea ecosystem with a 3D Biogeochemical model CRISE ALESSANDRO 1, LAZZARI PAOLO 1, SALON STEFANO 1, TREVISANI SEBASTIANO 1, BERANGER KARINE 2, SCHRÖDER KATRIN 3 1-Istituto Nazionale di Oceanografia e di Geofisica Sperimentale (OGS), Trieste, Italy 2-Ecole Nationale Supérieure de Techniques Avancées (ENSTA), Paris, France 3-CNR ISMAR Sezione di La Spezia, Italy Workshop W10 Vector Rimini Settembre 2007

VECTOR Activity ) 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 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 base of the euphotic zone Steady state Biological carbon cycle is non linearly coupled with nutrient cycles unfortunately

Diatoms Flagellates Picophytoplankton L Photoadaptation L P (1) Large Phyto. L P (4) L P (2) L P (3) Oxygen Carbon dioxide ODissolved Gases O (2) O (3) Phosphate Nitrate Ammonium Silicate NInorganic Nutrients N (1) N (3) N (5) Red. Equivalents N (6) N (4) Z Microzooplankton (s.s.) Heterotrophic nanoflagellates Microzooplankton Z i (5) Z i (6) Carnivorous Omnivorous ZMesozooplankton Z i (3) Z i (4) B Bacteria (aerobic and anaerobic) Bacterioplankton BiBi Dissolved Particulate (detritus) R Organic Matter R i (1) R i (6) Diatoms Flagellates Picophytoplankton P Phytoplankton P i (1) Large Phyto. Pi(4)Pi(4) P i (2) P i (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 MODEL

interpolation interpolation 1/8° 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/load Offline Dynamics Transport Biology Biogeochemical Flux Model Numerical tool: Mediterranan Sea eco-hydrodinamical coupled model Structure 1/16 dynamical model

Ongoing work: mesh of the physical model PAM/PSY2v1 MED16 model PAM (Drillet et al. 2001) CERFACS Code: OPA (Madec et al. 1997)

FORCING AND I.C. USED IN THE DYNAMICAL MODEL SIMULATION 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 (0.5 o ) Daily fluxes 1/03/ = 9 years Monthly runoff UNESCO

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

Diffusive attenuation coefficient from satellite SeaWiFS data With coastal areaWithout coastal area 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 A0 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

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