Hoepffner, N., Clerici M. & A. Marreli - LITTORAL 2010 - Marine and Coastal Information Systems for...

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    Marine and Coastal Information

    Systems for Europe and Africa

    N. Hoepffner, M. Clerici, and A. Marelli

    European Commission- Joint Research CentreInstitute for Environment & Sustainability

    Ispra, Italy

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    Environmental / African Marine Information

    Systems

    ( EMIS / AMIS )

    Open source web-based application thatallows the provision of scientific information,by way of geo-referenced maps (created inreal-time), and supplies the users with :

    - a browser/navigation mode to create maps

    - a query mode for basic analysis on the data

    The bulk of environmental analysis in EMISand AMIS relies on models data outputs andsatellite-derived products, from optical andinfrared satellite sensors

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    EMIS / AMIS Architecture

    Browse

    (map) Perl Parser

    Query

    (data)

    Map (.png)

    html

    Web browser Web server

    HTTP

    MapServer 4.0

    C functions

    PHP Interpreter

    Mapscript

    GDAL

    PDL

    netCDFPERL

    PDL::IO::HDF

    netcdf HDF

    DATASET

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    Environmental Marine Information System (EMIS)

    GIS websiteSatellite derived products

    Numerical models data

    Other

    marine variablesfrom Atlases /

    databases

    Maps

    Navigation

    Basic

    Statistics

    Time-series

    Thresholdanalysis

    http://emis.jrc.ec.europa.eu

    http://amis.jrc.ec.europa.eu

    Multivariate

    analysis

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    EMIS / AMIS Toolbox

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    EMIS / AMIS Data description

    Satellite-derived monthly products from CZCS (1979-86),

    SeaWiFS and MODIS-A (1998-09), AVHRR Pathfinder

    (1985 -09)

    Surface chlorophyll(mg.m-3), Diffuse attenuation Coefficient(K490, m-1),

    Depth integrated primary production (gC.m-2.d-1), Sea surfacetemperature

    Absorption coefficient (CDOM), backscattering coefficient (TSM)

    Modeled Data from hydrodynamic simulations (European

    seas)

    oPhysical variables as generated by 3D model (mixed layer depth, mixed

    layer temperature and salinity,)

    oEcological , water quality indicators

    Other variables and layers

    Bathymetry (GEBCO Digital Atlas), catchment basins, rivers

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    General Estuarine Transport Model /GETM http://www.getm.eu/

    Hydrodynamic modeling (EMIS)

    GETM features

    Flexible vertical and

    horizontal coordinate system Coupled with advanced

    turbulence parameterization

    from GOTM (general ocean

    turbulence model)

    Ability to simulate shallow

    water processes in full

    baroclinic mode

    Regular updates of source

    code by dedicated developers

    committee(Burchard and Bolding 2002; Stips etal. 2004; Miladinova and Stips 2010)

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    Data quality assessment

    Satellite products Processing data with most recent software SeaDAS v.6.1

    Extensive validation of OC products against fieldmeasurements

    Regional studies (northern Adriatic Sea)

    Global assessment using public databases (e.g. NODC,SeaBASS, JODC)

    Participation to all phases of an international comparativeexercise of satellite-based Primary Productivity Algorithm(see Campbell et al. 2002; Carr et al. 2006 ; Friedrichs et al. 2009;Saba et al. in press)

    Hydrodynamic modelling

    Use of newest version of GETM (v. 1.8.x)

    Regional validation exercises of model output products (North Sea andBaltic Sea, Black Sea, Mediterranean Sea)

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    Modelling and Marine Indicators (EMIS)

    Combining Satellite data (and/or in situ data) with modelling to deriveEcological and Water Quality Indicators applicable to all European Seas

    (large scale) and comparable for different region

    Physical

    Sensitive

    Area Index (PSA)

    Oxygen Depletion

    Risk Index (Oxyrisk)

    Conceptual Model for Eutrophication Risk Assessment

    (Druon et al. 2004)

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    EMIS: Physical Sensitive Area (PSA) index

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    EMIS: OXYgen depletion RISK index (OXYRISK)

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    AMIS: Marine / coastal productivity around Africa

    Applications

    Ecosystem functioning

    and regime shift

    Fisheries management Climate change

    impacts

    Carbon cycle

    monitoring and carbon

    budget analysis

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    Spatial Correlation

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    Chlorophyll May 2004

    Temporal variability

    May 2006

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    Concluding remarks

    Coastal /Marine Information Systems key attributes

    valuable role in the study of marine and coastal environments inthe context of database creation, monitoring, mapping, modelingand visualization

    Good communication channel between science and management,and the public at large (data integration and conversion intoinformation of societal benefits)

    the systems are easily accessible and simple to use with just abrowser and internet connection

    the information is of high-quality, based on accurate scientificresearch and recent technology and optimized throughcollaborations and networking with EEA, Marine Conventions, EU-funded projects (SPICOSA, SESAME, PEGASO,....)

    rely on continuously updated database and regular revision oftechnical content (new indicators, new layers.)