hoepffner, n., clerici m. & a. marreli - littoral 2010 - marine and coastal information systems for...
TRANSCRIPT
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8/8/2019 Hoepffner, N., Clerici M. & A. Marreli - LITTORAL 2010 - Marine and Coastal Information Systems for Europe and Africa
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Littoral 2010 International Conference, London (21-23 Sept. 2010) #
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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Littoral 2010 International Conference, London (21-23 Sept. 2010) #
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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Littoral 2010 International Conference, London (21-23 Sept. 2010) #
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.)