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Session 4.2 abstracts

Symposium home | Session 2 | Session 3 | Session 4 | Abstracts by Author |


4.2 Enhanced User Engagement

Session conveners: Pierre-Yves Le Traon, Andreas Schiller and Clemente Tanajura

The table below lists all abstracts for Session 4.2 by author. To read the full abstract click on the title-link.

The unique reference number (ref. no.) relates to the abstract submission process and must be used in any communications with the organisers.

All abstracts from session 4.2 are available for download - pdf

 Ref.NoPrimary AuthorAffiliationCountryAbstract titlePoster
S4.2-01Bonekamp, HansEUMETSATGermanyExplaining the Sentinel-3 Marine CentrePoster-pdf
S4.2-02Bonekamp, HansEUMETSATGermanyGMES-PURE: Shaping the marine GMES/COPERNICUS user requirementsPoster-pdf
S4.2-03Davidson, FraserDFOCanadaOverview of Canadian End Use of GODAE OceanView Products Oral
S4.2-04Griffin, DavidCSIROAustraliaApplications of Australian Ocean Nowcasting and Forecasting Capability Cancelled
S4.2-05Mooers, ChristopherPortland State UniversityUnited StatesDesign Considerations for Operational/Research Ocean Prediction PartnershipsPoster-pdf
S4.2-06Phillips, RobynRoyal Australian NavyAustraliaOperational Oceanography and the RAN: Enhancing war fighting capability through ocean model development Cancelled
S4.2-07Rayner, RalphIMarESTUnited KindgomOcean observing and forecasting stakeholders and beneficiaries Oral


ID 4.2-01

Explaining the Sentinel-3 Marine Centre

H. Bonekamp1, E. Kwiatkowska1, A. O’Carroll1, F. Montagner1, R. Scharroo1, H. Wilson1

1 EUMETSAT, Darmstadt, Germany


Sentinel-3 is a low earth orbiting mission to support services relating to the marine environment. The objectives of the Sentinel-3 mission encompass the commitment to consistent, long-term collection of remotely sensed marine data, of uniform quality, for operational ocean state and climate analysis, forecasting and service provision, mainly in the context of GMES/Copernicus. The mission's key objective is to observe parameters such as sea-surface topography, sea- and land-surface temperature as well as ocean- and land-surface colour. The Sentinel-3 system is developed by ESA with EUMETSAT support. After commissioning, EUMETSAT will routinely operate the Sentinel-3 satellite and the Sentinel-3 Marine Centre. The related parts of the overall Sentinel-3 ground segment are currently under integration at EUMETSAT. The Sentinel-3 Marine Centre will do the processing and re-processing of the Sentinel-3 Marine products and will include several elements to monitor and ensure the quality of the marine products and services. In this presentation, we will explain the main elements of the Sentinel-3 marine centre from the perspective of its envisaged end-users.

ID 4.2-02


H. Bonekamp1, P. Gorringe2, Yota Antoniou2, K. Nittis2, P. Albert1

1 EUMETSAT, Darmstadt, Germany

2 EUROGOOS, Brussels, Belgium


Early 2013, the European Commission (EC) has started the two-year project called GMES-PURE (Partnership for User Requirements Evaluation), to define and apply a structured process (see Figure 1.) for the elaboration of the future EC Marine Service user requirements and their translation into service specifications, service data and technical requirements. While the focus for service data requirements is on space observations, high-level data requirements for in-situ observations will be captured and delivered as well. GMES-PURE constitutes an opportunity for the Marine service users to ensure that their current and emerging requirements are captured in time and to directly influence the future evolution of the Marine Service. The establishment and maintenance of long-term user driven operational services requirements and related coherent service specifications include a weighing of evolving user needs, scientific and technological capabilities, cost-effectiveness and affordability. This presentation will explain GMES-PURE approach and roadmap. It will highlight the main outcome of the GMES-PURE user requirements consolidation workshop and will explain how users will be further involved in the project.


Figure 1 : Overview of the GMES-PURE project structure

ID 4.2-03

Overview of Canadian End Use of GODAE OceanView Products

Fraser J.M. Davidson1, Denis Lefaivre2 , Norman Scantland3

1 Fisheries and Oceans Canada, St. John's, Canada

2 Fisheries and Oceans Canada ,Mont Joli, Canada

3 Canadian Forces,Halifax, Canada


Herein we describe the end use applications in Canada of current GODAE OceanView Products. Canada has the second longest coastline in the world and is surrounded by three Oceans. Ice distribution has a strong influence for Canadian Arctic and Canadian Atlantic Regions. An overview of the Canadian end users is provided ranging from the Canadian Coast Guard and the Canadian Forces to more local end users such as the Inuit in the Canadian North and fisherman.

Examples of oil industry needs include precise knowledge of ocean currents when towing large infrastructure and managing iceberg and pack ice risks. Furthermore for planning purposes, reanalysis ocean products are very useful for providing estimated time series of ocean variables in given locations as well as testing mitigation strategies. The Canadian Navy uses an ocean work station to transform the analyzed and forecast ocean state into a view of the acoustic field in Canadian waters.

A summary of the end user needs and a strategy to provide common ocean forecast products is devised. Particular emphasis is put on hourly output requirements for Search and Rescue Drift as well as Iceberg drift projections.

ID 4.2-04

Applications of Australian Ocean Nowcasting and Forecasting Capability

D. Griffin1

1 Centre for Australian Weather and Climate Research, Hobart 7001, Tasmania, Australia


Investments by the Australian Government in the ocean observing system underpin an ocean nowcasting system (http://oceancurrent.imos.org.au/) and the BLUElink ocean forecasting system ( http://www.bom.gov.au/oceanography/forecasts/). These tools provide information for multiple applications, leading to environmental, social and economic benefits. Examples are:

  • Safety at sea/search and rescue, e.g. asylum seekers' boats routinely capsize or are scuttled when approached by border protection authorities. In one such incident, 60 people were drifting south of Java. Australia's SAR authority conducted drift modeling to determine the search area which was moving rapidly.
  • Environmental protection: permits for various activities (oil drilling, marine renewable energy extraction) are increasingly being decided with the aid of impact assessments based on information on currents.
  • Engineering design: structures are being designed for >1000m deep waters, based on estimates of the typical and maximum flow speeds, and also the typical shears, each of which stress the structure in different ways (fatigue/work-hardening/bending).
  • Fishing and fisheries management: fishers want to know where to catch fish. Species have strong preferences for environmental conditions (water mass, plankton and herbivore assemblage, etc). Ocean information is being used to make sure fishers catch target species and not other species. This 'bycatch reduction' is as important as increasing catch rate. Ocean information also helps managers interpret inter-annual variations of catch, and adjust quotas accordingly.
  • Pollution: ‘forensic oceanography’ helps authorities find polluters, allowing fines to be levied which pay for cleanups, and also deter re-offending by the polluter or others.
  • Leisure: large numbers of people make use of ocean forecasts to maximize the value of their scarce leisure time, e.g. beach-going, fishing. SCUBA divers make heavy use of current and water clarity information.
  • Defence has many uses of ocean information: SONAR performance, submarine navigation (vertical flows, buoyancy changes).
  • Coastal protection: erosion due to storm surge, beach replenishment processes.
  • Transport: route optimization, especially for slow craft (oil rigs, huge bags of water) or when timing is critical (port arrival time - narrow berth booking windows).
  • Public health: predicting trajectory of harmful substances (radioactive waste, harmful algal blooms, oil spills, sewerage).
  • Weather forecasting, especially extreme events linked to SST: cyclones etc, but also coastal fog and associated weather patterns.
  • Miscellaneous: location of WWII ship-wrecks, adventurers paddling kayaks across oceans, recreation of epic ocean voyages.
  • Understanding lifecycles of creatures, especially invasive ones, design of control measures, or recruitment assistance (release of juveniles in good locations).
  • Finely targeted research: optimal use of research ship time, or guidable platforms (e.g. ocean gliders) can only study rare but important phenomena if the phenomena can be hunted down and sampled.
  • Climate change over/under-reaction. People can only see the water temperature and sea level right where they are. There is a big disconnect with climate modeling and scientists' messages that needs to be reconciled with people's own observations, in order to avoid both under- and over-reaction to climate forecasting.

ID 4.2-05

Design Considerations for Operational/Research Ocean Prediction Partnerships

Christopher N. K. Mooers

Department of Civil and Environmental Engineering,

Portland State University, Portland, Oregon, USA


In recent decades, an identifiable ocean prediction community and effort have emerged in both research and operational sectors of several nations. Initial results are promising, though support for both the research and operational prediction systems is tenuous without long-term sponsorship, a broad user base, an established community of forecasters, etc. From another perspective, due to a lack of meaningful (e.g., including application-based as well as science-based metrics) for model skill assessment, ocean prediction products, fairly or not, lack widely accepted credibility and routine utilization. Here, it is argued that a joint, concerted, and sustained skill assessment effort by both the research and operational communities is needed to turn this situation around and shore-up long-term support and prediction-product utilization and evolution.

Over the past decade, research and operational ocean prediction have been facilitated by remarkable advances in ocean observing systems (in situ as well as remote sensing), numerical modeling per se, data assimilation methodology, and cyber-infrastructure (for data management). However, specific user applications and general acceptance of predictions are lagging. The necessity of closer collaboration between the research and operational sectors (through prediction experiments (or “test beds”) designed to establish the skill of predictions in the context of both scientific and user-applications) is now transparently obvious. These needs and approaches play out at global, regional, coastal, and estuarine scales, and across ecological as well as physical disciplines. Hence, the communities involved need to adopt standards for skill assessments relative to sets of metrics, collaborate in scientific and applications-driven prediction experiments, and evolve a management approach adequate to garner sufficient and sustained funding. {Can the experience of the atmospheric prediction community in such matters be valuable to the ocean prediction community?}

In summary, sustainable partnerships between operational, research, and applications sectors are needed to conduct and evaluate ocean prediction experiments for (1) making assessments of the skill of various forecasts using community metrics, (2) advancing the credibility of prediction skill in the eyes of the scientific and applications communities through peer-reviewed documentation, and (3) accelerating orderly technology transfers from the research to the operational modes in response to needs of marine forecasters and end-users.

ID 4.2-06

Operational Oceanography and the RAN: Enhancing war fighting capability through ocean model development

R.L. Phillips1 and A.C. Bulters2

1 Royal Australian Navy, Wollongong, Australia

2 Royal Australian Navy, Wollongong, Australia


The Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australian Bureau of Meteorology (BoM) and the Royal Australian Navy (RAN) have been in a three-way partnership since 2002 which has brought about the introduction of Australia's first operational ocean forecasting system 'BLUElink', along with delivery of a relocatable ocean-atmosphere model and a stand-alone littoral ocean modelling system explicitly for Navy use. In recent years this ocean forecasting system has continued to expand its global coverage and resolution, and the RAN as a prime user now seeks to further enhance the modelling capability of the ocean models to provide tailored products which will increase our ability to understand the operating environment, and use this information to our best advantage to 'fight and win at sea'.

In 2010 developments were completed to ingest the relocatable ocean-atmosphere model output into the RAN sonar range prediction tools, which now enables the RAN to look beyond a homogenous ocean assumption to provide four dimensional ocean awareness. This is far superior to available war-fighting tools of the past, and it continues to change the way that the RAN conducts business. The RAN is in a continual process of expanding the type and resolution of model data that can be ingested into our tactical decision aids to further enhance our oceanographic awareness. Littoral Ocean modelling is being used in an amphibious capacity to provide a better understanding of near-shore wave and surf conditions during beach landing operation, and further developments are underway to provide a tool that can also forecast the changing beach morphology, currents, rips and beach wave conditions.

The RAN uses the tools delivered in this successful partnership to aid in locating submarines, make better use of sonar, and radar equipment, and provide our amphibious forces with detailed information to conduct operations. There is a growing interest in the biological, geological, and chemical (BGC) processes that occur within the ocean from the public sector, and this interest ties in well with the RAN desire to take ocean modelling to the next level in using BGC modelling for submarine detection. The Navy has long understood the importance of an informed oceanographic appreciation in our maritime missions, and this tri-partisan agreement has allowed us to develop this appreciation now and into the future.


ID 4.2-07

Ocean observing and forecasting stakeholders and beneficiaries

Ralph Rayner



The pioneering work of Matthew Fontaine Maury over 150 year ago laid the foundations for coordinated efforts to observe the global ocean. Maury’s work was driven primarily by delivering commercial benefits, although it also contributed significantly to scientific understanding of the oceans as a secondary objective. As the first globally coordinated operational ocean observing system designed to deliver practical benefits his efforts made a major contribution to what we today define as operational meteorology and oceanography. The 1853 Brussels conference convened by Maury and others had goals and objectives with much in common with those of today’s operational systems. In Maury’s time the objectives of coordination were simple and the economic benefits direct; improving the safety and efficiency of ocean voyages and ocean trade. Today we have a complex landscape of organizations concerned with delivering the benefits of sustained integrated ocean observations to a wide range of beneficiaries at global, national, regional and local scales.

The initial thrust of development of regular and sustained ocean observation after Maury was mostly driven by scientific needs and the need for long-term observations to underpin the understanding of physical, chemical and biological processes. These predominantly science driven observations also delivered important safety, economic and environmental benefits. Today’s integrated ocean observing systems must efficiently deliver to a wide range of beneficiaries well beyond the needs of scientific research.

Key benefit areas are:

  • Underpinning research needs for regular and sustained observations;
  • Delivering observations and information products needed to support policy formulation, monitoring of policy compliance and understanding of policy effectiveness;
  • Delivering data and information products needed to underpin the operational safety and economic needs of those that work and play in the marine environment as well as those inland from the coast whose activities are indirectly influenced by the oceans.

To set an effective strategy for delivering operational ocean observations and forecasts it is necessary to understand the complex landscape of providers of sustained and integrated ocean observation infrastructure; intermediate users who derive useful products and services from these data and end-users who derive scientific, policy or operational benefits in whole or in part from such products and services.

This paper proposes a systematic categorization and identification of these stakeholders to support setting priorities for future development and to underpin making the case for sustained long-term investment in operational infrastructure. It concludes with a description of recent efforts to quantify the activities of key stakeholders in terms of economic benefits.