Marine Strategy 2012, 14th-16th May 2012, Copenhagen Marine Strategy 2012 THE EMODNET CHEMISTRY LOT. AN OVERVIEW ON THE EXPERIENCE OF THE THREE YEARS PILOT PROJECT GMES/EMODnet and other monitoring and modelling activities VINCI Matteo, GIORGETTI Alessandra, SCHAAP Dick, CHARLESWORTH Mark

Chemical Lot - Introduction; - Overview WPs activities; - Summary of project results; - Lessons learned; - Possible future steps.

EMODNET A pilot component for a final operational European Marine Observation and Data Network, launched by DG MARE; Aims to assemble fragmented and inaccessible marine data into interoperable, continuous and publicly available data streams; Four service contracts were launched: Lot 1 – Hydrographic data Lot 2 – Marine geological data Lot 3 – Chemical data Lot 4 – Biological data Plus new...Lot 5 – Physics

Chemical lot - WHERE: focus on 3 Geographic areas NORTH SEA BLACK SEA MEDITERRANEAN SEA 5 spots Regional Leaders: North Sea – NERI Black Sea– MHI Med Sea – HCMR

Chemical lot – WHAT: Parameters selection -Choice based on MSFD requirements; -Time series and geographically representative datasets; -Selected from 8 groups of compounds; -3 matrices: water, biota, sediment; -17 selected parameters for product generation.

Chemical lot - HOW: Infrastructure set up based on SeaDataNet V1 efficient distributed Marine Data Management Infrastructure; for large and diverse sets of data deriving from in situ and remote observation of the seas and oceans. Principle of “ADOPTED AND ADAPTED” SDN Standards for metadata,data and products : metadata  CDI (xml ISO 19115), Standard Vocabs (P021,P011,P061...) for common terms. for background data exchange  ODV data format, Infrastructure: CDI mechanism to access data with data policy management, SDN Security Services for users registrations, SDN Products viewing services for discovery, visualization and downloading of products.

Chemical lot - HOW: Infrastructure set up based on SeaDataNet V1 Principle of “ ADOPTED AND ADAPTED” Softwares: MIKADO → metadata mapping and xml generator NEMO → data formatting tool DIVA software → to produce gridded data products and error maps as NetCDF files, ODV software → for “time series” products generation and QC check

Chemical lot - HOW: Infrastructure set up based on SeaDataNet V1 Principle of “ADOPTED AND ADAPTED ” -Extension of SDN Common Vocabularies: P021 for CDI generation P061 for units P011 for ODV generation - Chemical CDI directory – continuously updated -Ocean Browser Products Viewing Service -ODV/DIVA softwares upgrade to produce maps, plots and related metadata  DivadoXML -Sextant Products Discovery Service – under finalization

SDN NODC’s Direct data access External sources Data access request service SDN Shopping Mechanism Extra function EMODNET Data Products Catalogue + OGC viewer + downloading EMODNET Chemical CDI User Interface EMODNET CDI metadata Products metadata Data Products

Wps activities: WP2:Data collection and metadata compilation WP3:QC/QA and data products WP4:Technical development and operation WP5:Analysis and evaluation

 After metadata and data harvesting…  All partners produced and update : Data → ODV file → Reg. Leaders (de-centralized) Metadata → CDI entries → Maris (centralized)  All partners gives access to: metadata (unrestricted) and data according to the data policy as agreed with the data ORIGINATOR WP2 – Data collection and Metadata compilation

Challenges in EMODNET Chemical pilot : data complexity: from 8 groups of compounds; 3 matrices (sediment, water column and biota); 17 selected parameters for products generation; Heterogeneity: Of the sampling/data distribution (coastal points time series Vs homogenous sampling at basins level); Of measurement methods (instrument, method, target species, target basis, grain sizes). WP3 – QC/QA and Products

WP3 – QC/QA and Products... About available data and related products... Available data Not homogeneous ditribution In time and space (basins) Homogeneous ditribution In time and space (basins) Expert workshop –Venice, September 2010-discussion and summary of decisions for Products:  Standard Diva Interpolated maps produced for parameters with homogeneous and suitable data coverage, measured on basin scale;  “Time series plots”. Showing station maps with plots of measured time series. This for not homogeneous datasets as: coastal points repeated in time, datasets with fragmented coverage.

Diva software for NetCDF maps (new) DIVAdo Xml Not homogeneous ditribution In time and space Tools for “Time series” plots, suggested ODV Metadata collection Sextant products metadata Ocean Browser Products viewing service WP3/WP4 – QC/QA, Products and Tech Dev Homogeneous ditribution In time and space (basins) Index file Work done by Regional LeadersWork shared between NODCs (By Gher) (By AWI) (By Gher) (By IFREMER)

CDI metadata North Sea EMODNET Chemical Buffer Vocabulary Web services SeaDataNet Worms Regional QC Data Codes Region al Product s Med Sea SeaDataNet Worms Local data compliation (ODV) Regional QC Vocabulary Web services Region al Product s CDI metadata Product Output (NetCDF) Data Input (ODV) Product Output (NetCDF) Black Sea SeaDataNet Worms Local data compliation (ODV) Regional QC Vocabulary Web services Product Output (NetCDF) Product generation: interpolated Maps workflow

Path from DATA to PRODUCTS: Time Series Plots NODC – TS Sample volounteers: OGS, BSH and 3 Regional Leaders Create: - Plots with ODV - INDEX file Commonly agreed ratio: 1plot:1sta:1param:1depth GHER OceanBrowser Map (GetMap) and URL of images (GetFeatureInfo) Images of time series,...

Data&Metadata: CDI browsing web interface

PRODUCTS: Diva Interpolated Maps Ocean Browser (Gher group) * Interpolated fields loaded as WMS layers * *

PRODUCTS: Time Series Plots

-Chemitry Lot- Diva interpolated Maps

-Chemitry Lot- TS Plots

WP5 –on line users feedback-

-Chemitry Lot- Summary of Lessons Learned during 3 years Pilot Source data are not always easily accessible → want to improve data flow, also for MSFD reporting needs; For some areas huge work of data/metadata standardization from source datasets (heterogeneous formats, poor of metadata); The complexity of the measurements covering 8 groups of parameters collected on 3 matrices → need to have wide metadata description and continue with adapting process of SDN standards; The heterogeneity of the measurements: geographic coverage/measurement methods... → need to split subsets of homogeneous datasets to generate suitable products; The “exotic parameters” (contaminants) → need an ad hoc QC protocol (no spikes, difficult to apply ranges); Products → need to have an local group of experts for regular revision;

-Chemitry Lot- Possible future steps Improve data/metadata flow and continue with development of infrastructure; Enlarge geographic coverage  eg: Baltic Sea suggested, more Mediterranean areas…; Enlarge range of parameters harvested: PCO2 (acidification), O2, silicates, other metals and ChlA; Evaluate and develop specific kind of new products beside interpolated maps and time series;

Thanks