1. EMODNet Chemistry (MARE/2012/10) 1 st Expert Meeting introduction June 2014 Split, Croatia Matteo Vinci and Alessandra Giorgetti OGS, Trieste

2. Emodnet Chemistry Pilot: When Where What Pilot Expert Workshop New Phase: Overview What Where/How About data collection Products New architecture/workflow

3. The Pilot Project when and where: (June 2009 - June 2012) NORTH SEA BLACK SEA MEDITERRANEAN SEA Regional Leaders: North Sea – NERI Black Sea– MHI Med Sea – HCMR

4. The Pilot Project: what - Choice based on MSFD requirements; -Selected from 8 groups of compounds; -3 matrices: water, biota, sediment; -17 selected parameters for product generation.

5. The Pilot Project: Expert WS Expert workshop, 20-21 September 2010, Venice. Topics: General overview of EMODNET Chemistry objectives and results with demonstration of EMODNET Chemistry portal, General overview of data distribution per region (including spots), Review and discussion on EMODNET Chemical data and products availability, how to move from data to products, what kind of products can be done with EMODNET Chemical data, Keep feedback from the participants Participants were Coordinators (OGS, Maris), Gher Ulg, Regional Leaders plus: Simon ClausVLIZ – Biology Lot Rob FryerMarine lab in Scotland Shepherd IainShepherd Iain, European Commission; Directorate-General MARE Pyhälä MinnaHELCOM Helsinki Commission Volodymyr Myroshnychenko BSC Commission for the Protection of the Black Sea Against Pollution Permanent Secretariat Beken ÇolpanMarmara Research Center of Turkish Scientific and Technological Council, TUBITAK Michael AngelidisUNEP/MAP - MEDPOL Programme Officer

6. The New Phase Enlarged partnership: 32 partners + 14 sub- contractors = total of 46 participants (about twice!);  New parameters;  The portal should cover all European waters;  New products: new tools to be developed for coastal visualization + proposal for assessment !!!  Specific focus on Coastal Data.

7. The portal should collect the following groups of chemicals: - in 3 matrices: water column, biota, sediment. - in all European waters.

8. Data harvesting and products generation are organized at Regional level. 5 sea regions have been defined as: Greater North Sea (including Norwegian Sea and Celtic Sea); Atlantic Sea (including Atlantic Coast and Macaronesia); Baltic Sea; Black Sea; Mediterranean Sea. Data Collection

9. As for Pilot the methodology is based on SeaDataNet network of NODCs and infrastructure: An efficient distributed Marine Data Management Infrastructure for large and diverse sets of data from in situ and remote observation of the seas and oceans. Actively involved in standards implementation following INSPIRE; A de-facto standard with: 44 partners and 14 subcontractors from 35 countries EU and not that are the network of National Oceanographic Data Centers (NODCs) involved in the data collection through the European Seas. Approach

10. at last progress report (m10): CDIs made available through the portal for European waters, at last progress report (m10): Total 581,300  increase of 39,279. After one month: Total 584,455  increase of 3,145. 82 %are unrestricted (unrestricted and SeaDataNet license)18% require negotiation Of these 82 % are unrestricted (unrestricted and SeaDataNet license), while others 18% require negotiation. Positive feedback in data collection activity by partners! WP1 Data collection and metadata compilation

11. Progress: Data Collection Total: 519.123 stations Lat Long box: N80, W-30 ; N20, E45 Per Parameter Groupdatasets Dissolved gases392225 Carbon, nitrogen and phosphorus264763 Nutrients251107 Carbonate system72429 Anthropogenic contamination26111 Suspended particulate material26518 Metal and metalloid concentrations22744 PCBs and organic micropollutants19693 Hydrocarbons11850 Isotopes2497 Sediment pore water chemistry1010

12. Progress: Data Collection Nutrients: 268.402 stations Parameter Groups (Nutrients - Nitrates, Phosphates... ) for MSFD Descriptor 5 «Eutrophication »

13. Progress: Data Collection Contaminants: 35.161 stations Parameter Groups (Hydrocarbons, Metal and metalloid concentrations, PCBs and organic micropollutants...) for MSFD Descriptor 8 «Contaminants»

14. Data Products generation Thanks also to the analysis of 1 st Expert Workshop highlighted 2 main subsets of the available data: -DIVA (Data-Interpolating Variational Analysis) horizontal maps produced for parameters with homogeneous data coverage, measured on basin scale; Not homogeneous ditribution In time and space (basins) Homogeneous distribution In time and space (basins) -Time series plots of measured data produced for not homogeneous data (coastal points repeated in time, datasets with fragmented coverage.) How to highlight data features? Temporal resolution VS data availability n.of products VS MSFD regions? Finalization interactive Time Series plots from observed data

15. Data Discovery and data access Improved search criteria in dedicated web portal : Data can be downloaded in Odv format 2 linked parameter search criteria: -general (P03)  more analytic (P02) Area selection: -Classic geobox -Selection by Sea Regions polygons

16. Products: DIVA interpolated maps North SeaSeasonalNutrients Black SeaAnnual/seasonalNutrients, Metals, Radioniclides Med SeaAnnual/seasonalNutrients

17. Products:Time Series plots

18. Time Series plots stations/plots per station

19. From Data to Products – data workflow NODCs data collection Regional Buffer 1 Central Data Buffer Robot Harvester Regional Buffer 2... Aggregation, validation and units conversion

20. Regional Buffers Regional Validation Regional QC Buffer Time Series Maps Products Validation Products generation workflow: From Data to Products – products workflow

21. Beside the static Time Series plots, much activity is ongoing to produce dynamic Time Series plots : Definition of relevant sets of stations with long time series for the focus parameters (nutrients) Setting of Robot Harvester for the Buffer generation Development of technical aspects for the viewing services working on top of the Buffer Integration of the resulting layer with Stations and Graphics into OceanBrowser. Time Series plots

22. http://www.emodnet-chemistry.eu/ Alessandra Giorgetti : agiorgetti@ogs.trieste.it Matteo Vinci : mvinci@ogs.trieste.it