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Environmental Marine Information System (EMIS) - Understanding Marine Phenomena

EMIS enhances the knowledge of marine eutrophication through GIS-enabled tools providing data on eutrophication sensitivity, risk, physical & biological variables in European seas. Eutrophication indicators like PSA and OXYRISK help assess environmental impact.

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Environmental Marine Information System (EMIS) - Understanding Marine Phenomena

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  1. EMIS: An Environmental Marine Information System JRC - IES

  2. Rational • The purpose of the Environmental Marine Information System (EMIS) web site is to enhance the understanding of particular marine phenomenon (eutrophication) by providing information derived from research. • This GIS enabled web site will allow the user to obtain detailed spatial and temporal information for the European regional seas on: • indices on eutrophication sensitivity and oxygen depletion • risk • physical variables (mainly generated by numerical models) • biological variables (derived from satellite remote sensing)

  3. Eutrophication Indicators PSA (Physically Sensitive Areas to Eutrophication) : The aim of the PSA is to assess the effect of the physical environment on the production and assimilation of the organic matter for shallow marine ecosystems. It is assuming that the nutrient distribution is homogeneous and provides a measure of the physical resistance to eutrophication provoked oxygen deficiency. OXYRISK (Oxygen Depletion Risk) : It characterizes the most probable occurrence of oxygen deficiency at the bottom in shallow sea areas due to the degradation of organic matter.

  4. PSA = Physically Sensitive Areas to eutrophication 3D hydro-dynamical modelling Supporting factors Bottom layer physics Surface layer physics Effect Impact Pressure High primary production High nutrient concentration Oxygen deficiency Hypoxia Risk Remote sensing of Ocean Colour • PSA and OXYRISK computation

  5. GIS website Satellite derived products Maps Navigation Basic Statistics Numerical models data Time-series Environmental Marine indicators (PSA - OXYRISK) http://emis.jrc.ec.europa.eu Threshold analysis Multivariate analysis

  6. Data description - 1 • Satellite derived products (biological-physical) • Chl-a : SeaWiFS (JRC atm. corr., OC4) • PAR : JRC algo (NCEP,TOMS,SeaWiFS) • PP : JRC algo (Chl-a from SeaWiFS) • K490 : SeaWiFS • SST : AVHRR • Numerical model data • Different models over 9 basins (JRC, IFREMER, Un. Athens, HIDROMOD) • Spatial resolution (grid) : 3.8 and 6.0 km • Variables: e.g. Bathymetry,Mixed Layer Depth, Salinity and Temp. • Maximum Density Gradient

  7. Data description - 2

  8. DEMO

  9. HTTP Web browser Web server PHP Interpreter Mapscript MapServer 4.0 C functions GDAL DATASET netcdf HDF Technology html Query (data) Browse (map) Perl Parser Map (.png) PDL netCDFPERL PDL::IO::HDF

  10. EMIS EU Seas Phys & Biol. Variables Indicators Provinces Global Ocean Bio-chemical and Bio-optical classes AMIS African Seas Phys & Biol. Variables FAPAR EU land fapar Extension of this technology to different websites

  11. Next Developments • Update and maintain the datasets. • PSA, OXYRISK are now derived from monthly • averaged model data : exploit inter-annual variability • Add new features (2008).

  12. Contacts: JRC of the European Commission v. Fermi,1 - Ispra I-21020 (VA) - TP 272 Institute for Environment and Sustainability Global Environment Monitoring SOLO Action Leader : Marc Dowell marc.dowell@jrc.it Tel. +39.0332.789095 Website Technical Responsible : Marco Clerici marco.clerici@jrc.it Tel. +39.0332.785727

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