emodnet chemistry (mare/2012/10). the portal should collect the following groups of chemicals: - in...

EMODNet Chemistry(MARE/2012/10)

The portal should collect the following groups of chemicals:

- in 3 matrices: water column, biota, sediment.- in all European waters.

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

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

Progress: Data Collection

Total: 581.299 stations

Lat Long box: N80, W-30 ; N20, E45

Per Parameter Group Datasets

Dissolved gases 390316

Carbon, nitrogen and phosphorus 261658

Nutrients 248005

Carbonate system 76922

Anthropogenic contamination 25990

Suspended particulate material 24942

Metal and metalloid concentrations 21955

PCBs and organic micropollutants 19629

Hydrocarbons 11166

Isotopes 2497

Sediment pore water chemistry 1010

Progress: Data Collection

Nutrients: 248.005 stations

Parameter Groups (Nutrients - Nitrates, Phosphates... ) for MSFD Descriptor 5 «Eutrophication»

Progress: Data Collection

Contaminants: 34.168 stations

Parameter Groups (Hydrocarbons, Metal and metalloid concentrations, PCBs and organic micropollutants...) for MSFD Descriptor 8 «Contaminants»

Progress: Data Discoveryand data access

The dedicated web portal has been improved in the search criteria:

Data can be downloaded in Odv format

Data Products generation

• 2 main subsets are developed from the available data :

-DIVA (Data-Interpolating Variational Analysis) horizontal maps produced for parameters with homogeneous data coverage, measured on basin scale;

Not homogeneous ditributionIn time and space (basins)

Homogeneous distributionIn time and space (basins)

-Time series plots of measured data produced for not homogeneous data (coastal points repeated in time, datasets with fragmented coverage.)

DIVA interpolated maps

North Sea Seasonal Nutrients

Black Sea Annual/seasonal Nutrients, Metals, Radioniclides

Med Sea Annual/seasonal Nutrients

Time Series plots

Time Series plots

stations/plots per station

QC/QA for data and products

From Data to Products – data workflow

NODCs data

collection

Regional Buffer 1

Central Data BufferRobot HarvesterRegional Buffer 2

...Aggregation and validation

Regional Buffers

Regional Validation

RegionalQC Buffer

Time SeriesMaps

Products Validation

Products generation workflow:

From Data to Products – products workflow

Products Metadata Catalogue

The Sextant catalogue is used to search between all available products.A new vocabulary for parameters will be used for aggregation under scientific governance/validation.

Expected results

Updated DIVA horizontal maps with additional params Time series plots (evaluating dynamic production)• New visualization tools + a proposal for assessment

tool Specific focus on coastal data

An Experts Workshop is organised in Split (Croatia) for June 19th 2014, to evaluate the results obtained in the first year (in terms of data distribution, products and services). To participate contact Alessandra Giorgetti (EMODNet Chemistry coordinator) agiorgetti@ogs.trieste.it!

http://www.emodnet-chemistry.eu/