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DSD-NL 2014 - EU Data Landscape - 3. Jerico 2014 Gorringe_2
1. Oceans of Data
Operational Oceanography data Sources: Observational data
Introduction EMODnet Physics, EuroGOOS, ROOSs
Patrick Gorringe
EuroGOOS AISBL
patrick.gorringe@eurogoos.eu
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. • 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
6. Ship routing - Marine operations
Fish larvae distribution
Sea-Ice service
Oil spill Service
Search and Rescue
Operational end-user Services
Stormsurge warnings
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. 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. 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. 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. 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…)
16. 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
17. 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
18. • 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)
19.
20. • 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
21. 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
www.seadatanet.org
Existing Infrastructures in Europe: SeaDataNet
23. 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]
25. 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
30. EMODnet Physics Dashboard
Available interoperability services
http://www.emodnet-physics.eu/map/Dashboard/Default.aspx
Web Service
http://www.emodnet-physics.eu/map/Service/WSEmodnet2.aspx
WMS/WFS
http://www.emodnet-physics.eu/map/Service/DefaultWMS.aspx
Web Catalougue
http://www.emodnet-physics.eu/map/Service/Catalog.aspx
33. 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
34. 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
35. 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
36. 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
37. DG
ENTERPRISE &
INDUSTRY
Copernicus
MyOcean
www.myocean.eu
DG
RESEARCH &
INNOVATION
FP7
SeaDataNet
www.seadatanet.org
Three initiatives for marine information
www.emodnet-physics.eu
EMODnet Physics
DG MARITIME AFFAIRS & FISHERIES
Operational
Oceanography
community
www.eurogoos.eu
• 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
39. www.ndbc.noaa.gov/
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
43. –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
Patrick.gorringe@eurogoos.eu
44. 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)
http://eurogoos2014.hidrografico.pt/