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Physical and Biogeochemical Coupled Modelling. Presented by Christel PINAZO Mediterranean University Oceanographic Center of Marseille Physical & Biogeochemical Oceanographic Laboratory. - PowerPoint PPT Presentation

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  • Regional Advanced School on Physical and Mathematical Tools for the study of Marine Processes of Coastal AreasPhysical and Biogeochemical Coupled ModellingPresented by Christel PINAZOMediterranean UniversityOceanographic Center of MarseillePhysical & Biogeochemical Oceanographic Laboratory

  • IntroductionWhy use Coupled Models ?Historical considerations

    Different types of Coupled Models Box models Fine grid Models (1D, 2D and 3D)

    Different ways of Coupling Models Off-line Coupling On-line Coupling

    Examples

    LECTURE SCHEDULE

  • COUPLING TYPESRegional Advanced School on Physical and Mathematical Tools for the study of Marine Processes of Coastal AreasINTRODUCTIONCOUPLING TYPES>FINE COUPLING WAYS EXAMPLESTHE STUDY SITE COULD BE SPATIALLY DESCRIBED BY FINE MESH GRID IN 1D, 2D OR 3D

  • COUPLING TYPESRegional Advanced School on Physical and Mathematical Tools for the study of Marine Processes of Coastal AreasINTRODUCTIONCOUPLING TYPES>FINE COUPLING WAYS EXAMPLESTO CALCULATE THE VARIATION OF BIOGEOCHEMICAL CONCENTRATIONS :

    - EQUATION OF TEMPERATURE VARIATION OF THE HYDRODYNAMIC MODEL

  • COUPLING TYPESTimeevolution Regional Advanced School on Physical and Mathematical Tools for the study of Marine Processes of Coastal AreasINTRODUCTIONCOUPLING TYPES>FINE COUPLING WAYS EXAMPLES1D FINE GRID MODEL (VERTICAL)SEDIMENTz=-hz=0hzVertical eddy diffusivity Vertical advectionSettlingVelocityConcentrationTrend term=Sources Sinks

  • COUPLING TYPESRegional Advanced School on Physical and Mathematical Tools for the study of Marine Processes of Coastal AreasINTRODUCTIONCOUPLING TYPES>FINE COUPLING WAYS EXAMPLESADVANTAGES:FINE DISCRETISATION ONLY ALONG VERTICAL AXISSIMULATION OF VERTICAL EDDY DIFFUSIVITY (MIXED LAYER) AND UP OR DOWNWELLING PHENOMENARELATIVE SHORT COMPUTATIONAL TIMELONG SIMULATION OF SEASONS OR YEARS

    DISADVANTAGES:NOT SIMULATE HORIZONTAL ADVECTION NOT SIMULATE CORIOLIS EFFECT

    1D FINE GRID MODEL (VERTICAL)

  • COUPLING TYPESRegional Advanced School on Physical and Mathematical Tools for the study of Marine Processes of Coastal AreasINTRODUCTIONCOUPLING TYPES>FINE COUPLING WAYS EXAMPLES2D FINE GRID MODEL (HORIZONTAL)depth-integrating Navier-Stokes equationsTime evolutionHorizontal advectionHorizontal eddy diffusivity ConcentrationTrend term=Sources Sinks

  • COUPLING TYPESRegional Advanced School on Physical and Mathematical Tools for the study of Marine Processes of Coastal AreasINTRODUCTIONCOUPLING TYPES>FINE COUPLING WAYS EXAMPLESADVANTAGES:DISCRETISATION ONLY ALONG HORIZONTAL AXESSIMULATION OF HORIZONTAL ADVECTION AND DIFFUSIVITYSIMULATION OF CORIOLIS EFFECTMEAN COMPUTATIONAL TIMESIMULATION OF MONTHS OR SEASONS

    DISADVANTAGES:NOT SIMULATE VERTICAL EDDY DIFFUSIVITY (MIXED LAYER)NOT SIMULATE UP OR DOWNWELLING PHENOMENANOT SIMULATE SEVERAL-LAYERS2D FINE GRID MODEL (HORIZONTAL)

  • COUPLING TYPESRegional Advanced School on Physical and Mathematical Tools for the study of Marine Processes of Coastal AreasINTRODUCTIONCOUPLING TYPES>FINE COUPLING WAYS EXAMPLES3D FINE GRID MODELNavier-Stokes equationsTimeevolution 3Dadvection3D eddy diffusivity ConcentrationTrend term=Sources Sinks

  • COUPLING TYPESRegional Advanced School on Physical and Mathematical Tools for the study of Marine Processes of Coastal AreasINTRODUCTIONCOUPLING TYPES>FINE COUPLING WAYS EXAMPLESADVANTAGES:FINE DISCRETISATION ALONG THE 3D AXESSIMULATION OF ALL THE MAIN PHENOMENA

    DISADVANTAGES:RELATIVE LONG COMPUTATIONAL TIMESHORT SIMULATION OF FORTNIGTH TO MONTHS

    3D FINE GRID MODEL

  • IntroductionWhy use Coupled Models ?Historical considerations

    Different types of Coupled Models Box models Fine grid Models (1D, 2D and 3D)

    Different ways of Coupling Models Off-line Coupling On-line Coupling

    Examples

    LECTURE SCHEDULE

  • COUPLING WAYSRegional Advanced School on Physical and Mathematical Tools for the study of Marine Processes of Coastal AreasINTRODUCTION COUPLING TYPES COUPLING WAYS EXAMPLES2DIFFERENT COUPLING WAYS :

    OFF-LINE : 2 SEPARATED RUNS WITH PHYSICAL FORCING CONDITIONS STORED IN FILES

    ON-LINE : DIRECT AND DYNAMIC COUPLING IN 1 RUN

  • IntroductionWhy use Coupled Models ?Historical considerations

    Different types of Coupled Models Box models Fine grid Models (1D, 2D and 3D)

    Different ways of Coupling Models Off-line Coupling On-line Coupling

    Examples

    LECTURE SCHEDULE

  • OFF-LINE COUPLINGRegional Advanced School on Physical and Mathematical Tools for the study of Marine Processes of Coastal AreasINTRODUCTIONCOUPLING TYPES COUPLING WAYS>OFF-LINE EXAMPLESdt= 600 sHydrodynamicModelMARS 3DWindTideIrradiance River inputs Wastewater inputsEcologicalModelEco3Mdt= 1 hourdt= 1200 sAdvectionDiffusionBiogeochemicalvariables

  • DIRECT AND DYNAMIC COUPLINGRegional Advanced School on Physical and Mathematical Tools for the study of Marine Processes of Coastal AreasINTRODUCTIONCOUPLING TYPES COUPLING WAYS>ON-LINE EXAMPLESIrradiance River inputs Wastewater inputsEcologicalModel

    dt= 1 hourdt= 1200 sEcological trendsdt= 600 sHydrodynamicModelWindTidePhysical Variables :Currents Surface elevationdt= 50 sdt = 50 sAdvectionDiffusionvariablesbioSpatial and temporal evolutionOf biogeochemical variables

  • EXAMPLESRegional Advanced School on Physical and Mathematical Tools for the study of Marine Processes of Coastal AreasINTRODUCTION COUPLING TYPES COUPLING WAYS EXAMPLES3D coupled physical and biogeochemical Modelling Study of ecosystem functioningOf the SW lagoon of New Caledonia

  • Study site description

  • West windTrade windsStudy site

  • Study Site

  • High short-term variability of meteorological forcings

    Low seasonal variabilityStudy site

  • Model description

  • horizontal mesh grid: 500m

    Nb horizontal cells: 340*90

    10 vertical sigma levels

    Forcings : wind, tidesMars3DIFREMER-IRD (P. DOUILLET)Ecological Model:170*90 Horizontal cellsPhysical ModellingECO3M

  • Surface currents:Trade winds 8 m s-1NOUMAPhysical Modelling

  • Current Model

    C and N Cycles

    12 variables

    Zooplankton = forcing function

    Eco3M tool

    Ecological Modelling

  • Phytoplankton biomass measurementsChl.aPhytoplankton biomass modellingCarbonNitrogen.? Constant ratio Carbon : Chlorophyll a Chl.a : diagnostic variable calculated from other state variables Chl.a : Dynamic state variableBut:Faure et a (2006)Ecological Modelling

  • Irradiance River inputs Wastewater inputsEcologicalModelEco3M(LOB)dt= 1 hourdt= 1200 sEcological trendsdt= 600 sHydrodynamicModelMARS 3D(IFREMER-IRD)WindTidePhysical Variables :Currents Surface elevationdt= 50 sdt = 50 sAdvectionDiffusionvariablesbioSpatial and temporal evolutionOf biogeochemical variablesDynamic coupling between the 2 models

  • Model results

  • IrradianceDbit des riviresVentMeasured forcingsField measurements : HIVER 2003

  • Realistic Simulation

  • Chla, g l-119 June3 JulyWeak Trade windsWeak West windRealistic Simulation : HIVER 2003, 2D Results

  • Chla, g l-13 July15 JulyWest windTrade WindsRealistic Simulation : HIVER 2003, 2D Results

  • Chla, g l-115 July26 JulyTrade Winds and rainfallRealistic Simulation : HIVER 2003, 2D Results

  • Chla, g l-126 July7 AugustWest windTrade windsRealistic Simulation : HIVER 2003, 2D Results

    Voici la structure de la prsentation de cette soutenance, qui va durer dans les 45min

    Voici la structure de la prsentation de cette soutenance, qui va durer dans les 45min

    Voici la structure de la prsentation de cette soutenance, qui va durer dans les 45min

    Prsentation site dtude : bathy 20m, fleuves, rcif barrire, nouma vents caractristiques alizs et Ouest

    Suite site dtude, qq photos :Photos nouma (140 0000 habitants) avec sainte marieEmbouchure rivire de la coule : mettant en vidence les panaches turbides rsultant de lrosion; panache limit devant la baie

    Ouverture sur impact industriel, avec lusine de goro dans le sud qui est hors domaine dtude mais caractristique, rejets importants de mtaux dans le milieuDo limportance de ltude du lagon actuellement, en particulier pour essayer dtablir un tat zro de lcosystme avant laugmentation des modifications antropiques

    *Vent trs variables sur une anne entires ->Peu de variations saisonnires-> Grande variabilit, mais frquence importance de laliz

    *Meme chose pour les dbits des rivires

    * Caractristique forte du lagon ! On retrouve cette caractristique pour les variables bio (-> thse Sev)

    * Maillage du modle physique* Maillage du modle bio en bleu (pour limiter les temps de calcul)Exemple dun champs de courant gnrs par le modle hydro :Courants dalizsEntre deau par le sudFort courant le long de la cote prs de nouma et en arrire rcifSorties par les passesCycles C et N, 12 variables

    Dcrire les compartiments et rapidement les processus 2me aspect de lamlioration concerne la chla.

    Comment relier la mesure et ce qui est modlis ? Diffrentes approches

    Voici le schema conceptuel utilis :

    Nous considrons ici un modle coupl physique-biogochimique:Modle hydroModle bioCouplage.

    Au cours de cette soutenance, nous nous intresserons uniquement aux campagnes ralises en HIVER 2003.

    Voici le graphe du vent en direction et force-> camecal5, vent calme, suivi de vent calme ouest, puis fort coup de vent, puis vent dOuest

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