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DSD-NL 2014 - EU Data Landscape - 3. Jerico 2014 Gorringe_2


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DSD-NL 2014 - EU Data Landscape - 3. Jerico 2014 Gorringe_2

  1. 1. Oceans of Data Operational Oceanography data Sources: Observational data Introduction EMODnet Physics, EuroGOOS, ROOSs Patrick Gorringe EuroGOOS AISBL
  2. 2.
  3. 3. • Delivery of products and services • Meeting user needs • Supporting short and long range weather predictions, climate monitoring and climate services • From data collection, data management to knowledge creation • Data to decisions Operational Oceanography
  4. 4. • Technologically complex and high cost infrastructures. Variety of platforms/technologies • Remote sensing (satellite and coastal radars) • Drifting-profiling floats • Fixed moorings (time-series stations) • Ships of opportunity, FerryBox • Gliders • Research vessels • Coastal networks • Multi – platform, multi-parametric, observatory approach • Diversity of operators (national, local, research, …..) & funding mechanisms Ocean Observations
  5. 5. Operational models: from local to Global
  6. 6. Ship routing - Marine operations Fish larvae distribution Sea-Ice service Oil spill Service Search and Rescue Operational end-user Services Stormsurge warnings
  7. 7. Operational Oceanography is not a new invention An international conference established the basic principles of operational meteorology and oceanography: – Common standards/formats for data – Common standards for data quality – Free and open exchange of data Modern principles, but when ?
  8. 8. Maury and the 1853 Brussels Conference ”Pathfinder of the Seas” ”Father of Modern Oceanography” ”Scientist of the Seas” • Maury early became convinced that adequate scientific knowledge of the sea could be obtained only through international cooperation • Within a few years after the Brussels conference in 1853 nations all over the world were sending their oceanographic observations to Maury • These observations were evaluated and the results given worldwide distribution • Also as a result of the Brussels conference a large number of nations agreed to cooperate in the sharing of ocean data using uniform standards • Printed the first map of oceanic bathymetry based on the data he had collected, published by Maury in (1836)
  9. 9. Since 19th century a lot of measurements have been made by diverse communities for their own needs (Scientists, fishermen, commercial navigators…) BUT – Not done in an organized way – Shared only among small communities – Measured over limited periods and areas – Not properly archived …it sounds all good, Maury set the scene. However as more and more data were collected by divers communities, data were shared only among small communities and was not properly archived and it wasn’t done in a organized way. In situ archeology is a hard job providing questionable databases……
  10. 10. The ways of using data have changed • A lot of data still collected is not easily accessible • Government agencies requirements have changed – Global scale applications requiring a integrated observing system (climate change, ocean health monitoring, fisheries assessment,…) – No country can pay the full bill for the data acquisition – A new paradigm emerging: "Data acquired with public funds should be publically available” • Important demand for real time data access especially in operational oceanography and monitoring applications • Information Technology and Data Management techniques are no more an obstacle to information sharing • Coordination and cooperation is absolutely necessary
  11. 11. The user needs have changed • Core parameters : – Assimilation in global/regional models : T, S – Validation : Sea Level, Current, Oxygen, Chlorophyll, Nutrients , Wave. • Data accessible easily from a unique point • Data coherent in term of : – Data format – Data Quality – Processing chain (clearly documented) – Coherent at basin scale level • Data are available – in real time/near real time (within less than 24 hours) – in delayed mode after calibration and /or validation with estimation of the accuracy – Long time series • Data management must rely on qualified teams (data management, scientific expertise…)
  12. 12. Responses from fisheries managers Berx et al.(2010)
  13. 13. How are we organised?
  14. 14. Periodic Table of the European Marine/Maritime Elements JPI EFCA EMSEA MYOCEAN GMES MARS MARBEF MARCOM EMECO EUROCEANFUTURE OCEAN DRAEGER JRC WISE MAR FORUM ECORD OCEAN ENERGY ENMC EMEC OGP RACS CMAS PRINCE REA EMODNET PSMSL OBIS IODE ICES FP7 OCEAN TOMHORIZON 2020 NSF-MS LUSO-A ESA WCRP IGBP DIVERSITAS IHDP GOOS GOE-GEOSS IOCCP GLOSS JCOMM UNCLOS UNFCCC LC/LP BALLAST CITES STOCKOLM CBD EU EU EU EU EU EU EU EU EU EU EU EU EU EU CLIVAR LOICZ HAB IPCC WOA IPBES SOFIA CBD FAO IAEA IMO ISA UN-DESA DOALOS UNDP UNEP ICSU IUCN POGO IDDRI WON MCF SEAS AT RISK WWF PLASTICS SOUP UNESCO-IOC UNIDO WMO WB IHO IOI GEENPEACE CI PEW SCAR SCOR GOF GESAMP UN-OCEANS GEG WB-GOP ARCIC ICES CIESM BLACK NEAFC GFCM NASCO ICCAT OSPAR HELCOM BARC BUCA ESF MB ERC EEA EMSA Cc Woa Bs Fa As AtMfAf Os He BcBa Ge UN Gef Gpo Los Cc Lp Bl Iho IoiCbd Isa De Do Dp Ep Ido Wb Jpi Df Pa La Eea Ms Fc Jrc Esa Era Ms EU Marine International Scientific Councils EU Regional Fisheries Organizations EU Regional Conventions UN conventions and treaties EU legal framework on marine/maritime affairs Think tankers European specialized agencies European Marine Scientific Clusters European Maritime Clusters Databases International Programmes (IPO in Europe) Funding instruments Reporting Processes UN specialized agencies with marine/maritime mandate Other marine International Organizations in Europe Main Marine/Maritime NGOs in Europe Other main International NGOs UN Funding instruments Msp Acc Bg Bs Re Msf Imp CfpMs Bw Wf Ha Na CBD STOCKOL CITES StCb Ci OCEANA Erc Mb Esf Ar Ices Ices Cies Bsc WmoIocImoIaeaFao Fp Ot H20IodeObisSlDnet Icsu Iucn Po Idi SeaWwf Ps Gp Ci Pew Oc Sc GofWon Mcf Cr Gb Bd Hd Oo Geo Oc Sl Om Oc Loi Hab Mo Es Ms BdeMse FoaEuoMsc Eco SpFishOgWise OdrInd Eng Clu Meg © Valdes. L., 2013
  15. 15.  37 members from 17 European Countries  5 Regional operational oceanographic systems, ROOSs (in collaboration with further 60 partners)  Support and facilitate members cooperation to establish a coordinated European Operational Oceanography approach for:  Identifying priorities for operational oceanography  Promotion of operational oceanography and the necessary research and technology  Coproduction of data and model based services  Defining standards and recommendations  Cooperation at global and regional scales  Contributing to national, regional and international implementation of recommendations Existing Infrastructures in Europe: EuroGOOS Operational Oceanography community
  16. 16. EuroGOOS is one of the twelve GOOS Regional Alliances (GRAs) that develop the system in different parts of the World Ocean. Part of the Global effort GOOS establishes a permanent global system for observations, modelling and analysis of marine and ocean variables to support operational ocean services worldwide GOOS is a platform for: • International cooperation for sustained observations of the oceans • Generation of oceanographic products and services • Interaction between research, operational, and user communities
  17. 17. • The ROOSs are the operational arm(s) of EuroGOOS • About 60 additional partners in Regional Operational Oceanographic Systems (ROOS) • The ROOSs cooperation focus on improved national and regional services and products • ROOSs coordinate the observations and the data transfer for internal use and to other users i.e. acting as the regional data broker ROOS (Regional Operational Oceanography Systems)
  18. 18. • The pre-operational marine service of Copernicus • Provides free and open access to real-time and delayed mode «ocean monitoring and forecasting» information  Based on the combination of satellite, in situ observations and assimilative ocean models  Connects to the EuroGOOS ROOSs (in situ)  Covers global oceans and European seas  Provides free and open access to products on  Currents, Temperature, Salinity, Sea Level, Sea Ice, Surface winds, Biogeochemistry) NRT products • within a few hours to a week • homogeneous automatic quality check procedures Delayed products • updated on annual base • scientifically validated data for reanalysis • integrated historical T&S data (SeaDataNet, ROOSs, JCOMM) MyOcean Existing Infrastructures in Europe: MyOcean
  19. 19. SeaDataNet  DG Research and Innovation - Marine Information System  Connects the National Oceanographic Data Centres – NODCs  EDMO: European Directory of Marine Organisations (>2200 entries)  EDMED: European Directory of Marine Environmental Data sets (>3000 entries)  EDMERP: European Directory of Marine Environmental Research Projects (>2500 entries)  CSR: Cruise Summary Reports (>31500 entries)  EDIOS: European Directory of Ocean-observing Systems  Develops CDI – Common Data Index (ISO19115) – and gives access to quality controlled archived time series of ocean observations i.e. physical observations from fixed stations for winds, temperature, pressure, waves, currents, and sea level, etc. complimentary to the NRT EU.FP5 2002-05 EU.FP6 2006-11 EU.FP7 2011-15 Existing Infrastructures in Europe: SeaDataNet
  20. 20. DG ENTERPRISE & INDUSTRY Copernicus MyOcean DG RESEARCH & INNOVATION FP7 SeaDataNet Three initiatives for marine information EMODnet Physics DG MARITIME AFFAIRS & FISHERIES Operational Oceanography community EMODnet Physics has the cross cutting role in these initiatives
  21. 21. A Novellino G Manzella D Schaap S Pouliquen L Rickards P Gorringe Preparatory Actions for European Marine Observation and Data Network MARE 2010/02 - Physical Parameters [SI2.579120] - Knowledge base for growth and innovation in ocean economy: assembly and dissemination of marine data for seabed mapping MARE/2012/10 - Lot 6 Physics [SI2.656795]
  22. 22. EMODnet Physics Sustain Interoperability WMS WFS Web services … socials Reinforce
  23. 23. EMODnet Physics objectives: – Provide a single point of access to marine near real time and achieved data on physical conditions as monitored by: • Fixed Stations1, Ferrybox1, (Euro) Argo2, Gliders2, HF Radars2 Parameters: • Sea Temperature1, Sea Level1, Sea Salinity1, Winds1, Waves1, Sea Currents1, Light Attenuation1, Ice Coverage2, Sea Level trends2 – Build up on existing infrastructures by adding value – not complexity – Ensure data access to any user – Facilitate integration and interoperability with further systems (INSPIRE compliant, WMS, WFS, etc.) – Bring together the main European Marine Observation and Data Communities (EuroGOOS ROOSs, MyOcean, SeaDataNet, etc) – Attract new data and new data providers – Attract new users and stakeholders 1MARE/2010/06 (2011-2013) 2MARE/2012/10 Lot 6 (2013 – 2016) EMODnet Physics
  24. 24. EMODnet Physics DISCOVER VIEW DOWNLOAD Open & Free INSPIRE Services Data Policy WMS/WFS
  25. 25. EMODnet
  26. 26. EMODnet Physics
  27. 27. EMODnet Physics
  28. 28. EMODnet Physics Dashboard Available interoperability services Web Service WMS/WFS Web Catalougue
  29. 29. EMODnet Physics Additional stations not yet in the current system identified by JERICO, EMODnet Physics and MyO
  30. 30. EMODnet Physics
  31. 31. big benefit to data user! benefit to data contributor? • increase verification & re-use of available data, measure once – use multiple times • reduce duplication of effort among agencies • identify data gaps and improve diversity in future marine research • brings together countries, regions and the European marine community • encourage the marine community to adopt standards for interoperability YES: exposure! €€€€€€! i.e. a European shopping window for your data Benefits of data sharing
  32. 32. Facilitating the exposure of marine data: nationally – agencies, and institutes provide the ROOS data portals and hence EMODnet Physics (and other projects such as MyO) with access to their data sets for visualization and discoverability Institutes / data originators ROOS data portals scale of data exposure value of data discovery user
  33. 33. scale of data exposure value of data discovery user nationally – agencies, and institutes provide the ROOS data portals and hence EMODnet Physics (and other projects such as MyO) with access to their data sets for visualization and discoverability internationally – EMODnet Physics provides international initiatives with access to a interoperable collection of European marine data on the global scale Facilitating the exposure of marine data: Institutes / data originators
  34. 34. EMODnet Physics EMODnet Physics approach • Build on existing infrastructures i.e. SeaDataNet and MyOcean and avoid duplication of efforts • Improve back office infrastructure for the benefit of the EuroGOOS ROOSs and contributing institutes • Give visibility and awareness to everyone • Crate added value interoperability layers on top of the existing infrastructure • Reach new stakeholders and users • Increase the amount of available data from additional platforms and platforms types (gliders, HF radars,….) • Give feedback and support to contributing institutes • Contribute to a stronger community on local, regional, European and global scales
  35. 35. DG ENTERPRISE & INDUSTRY Copernicus MyOcean DG RESEARCH & INNOVATION FP7 SeaDataNet Three initiatives for marine information EMODnet Physics DG MARITIME AFFAIRS & FISHERIES Operational Oceanography community • Platform codes • Common vocabularies • Institute names • Institute EDMO code • Platform names • Data access policy • License issues • Open ID • Quality flags • Quality control indicators • WMO codes • Institution references • Citation • Increase the amount of data and data contributors
  36. 36. • EMODnet central portal: • EMODnet Physics: • MyOcean: • SeaDataNet: • EuroGOOS:
  37. 37. Data from: • TAO/TRITON array that consists of pproximately 70 moorings in the Tropical Pacific Ocean in real-time • Tsunami buoys (global) • Voluntary Observing Ships • Integrated Ocean Observing System (IOOS® ) US GOOS
  38. 38.
  39. 39. GLOSS Direct data access web service to the IOC sea level system hosted at VLIZ
  40. 40.
  41. 41. –Free and open data access is essential for operational oceanography needs and best use of existing observations: acquire once use multiple times –Efficient Data exchange system relies on common standards on metadata, formats , Quality Control Procedures and product discovery/viewing/access –Need to rely on sustained data processing capabilities and qualified teams (including scientific expertise) –Cooperation Recommendations
  42. 42. EuroGOOS Conference 2014 • Lisbon 28-30 October 2014 • Themes & topics – Meeting end-user needs & supporting Blue Growth – Copernicus: Towards a European Centre for Ocean Monitoring and Forecasting – Ocean modelling & forecasting: extending & improving predictability – In-situ and remote sensing observations: towards a European Ocean Observing System (EOOS)