⇒ EUROGOOShttps://repository.oceanbestpractices.org/handle/11329/14152024-03-28T08:23:45Z2024-03-28T08:23:45ZEuroGOOS Data Policy 2023.https://repository.oceanbestpractices.org/handle/11329/24382024-03-11T16:38:14Z2023-01-01T00:00:00ZEuroGOOS Data Policy 2023.
In 2023, EuroGOOS developed a new data policy which requires its members’ commitment to share core ocean data openly according to the FAIR principles and clear licences. By core in situ ocean data we mean, at least, the physical and biogeochemical Essential Ocean Variables (EOVs) which are necessary for the Copernicus Marine Service and the EuroGOOS Regional Operational Oceanographic Systems (ROOS), including coastal services, as well as the services delivered by the European Marine Observation and Data Network (EMODnet). This policy is the European implementation of the IOC Data Policy and Terms of Use.
2023-01-01T00:00:00ZOcean Literacy in European Oceanographic Agencies: EuroGOOS recommendations for the UN Decade of Ocean Science for Sustainable Development 2021-2030.Eparkhina, DinaPomaro, AngelaKoulouri, Panayota (Yolanda)Banchi, ElisaCanu, DonataUyarra, Maria C.Burke, Noirinhttps://repository.oceanbestpractices.org/handle/11329/15822021-07-02T13:52:20Z2021-01-01T00:00:00ZOcean Literacy in European Oceanographic Agencies: EuroGOOS recommendations for the UN Decade of Ocean Science for Sustainable Development 2021-2030.
Eparkhina, Dina; Pomaro, Angela; Koulouri, Panayota (Yolanda); Banchi, Elisa; Canu, Donata; Uyarra, Maria C.; Burke, Noirin
From local and national to global levels, Ocean Literacy enables science to engage with policy and society on the topics of ocean sustainability, observations and research. This policy brief provides recommendations on how to enhance Ocean Literacy activities in oceanographic agencies in the UN Decade of Ocean Science for Sustainable Development 2021-2030.
Ocean Literacy is becoming as a strategic activity area in oceanography. Ocean Literacy tools and approaches are needed to increase societal and policy awareness of the needs, challenges, and opportunities of the ocean observing enterprise. Ocean Literacy is also important for achieving sustained operations and funding of the ocean observing systems, maintained predominantly by public funding.
The United Nations Decade of Ocean Science for Sustainable Development 2021-2030, implemented by the Intergovernmental Oceanographic Commission of UNESCO, put forward Ocean Literacy as an enabler for engaging with stakeholders and determining common understanding and joint identification of solutions towards sustainability. In addition to strengthening dialogue
and engagement at science-policy interfaces, Ocean Literacy also helps reach out to sectors and disciplines outside of the
traditional domains of marine sciences or maritime economy and management, from art and culture to sport and recreation.
Ocean Literacy connects all sectors of society. It demonstrates the value of ocean science for sustainable economy and policy,
helping to create a common baseline of understanding and a common set of values. This is critical for stakeholders who jointly address complex issues characterizing the marine environment and support decisions on responsible environmental management and sustainable blue economy.
2021-01-01T00:00:00ZLinking JERICO-NEXT activities to a Virtual Access infrastructure, WP5, Deliverable D5.16. Version 2.0.Novellino, A.https://repository.oceanbestpractices.org/handle/11329/15042021-01-29T23:18:07Z2017-01-01T00:00:00ZLinking JERICO-NEXT activities to a Virtual Access infrastructure, WP5, Deliverable D5.16. Version 2.0.
Novellino, A.
According the Commission definition, Virtual Access means:
“access to resources needed for research through communication networks without selecting or even identifying the researchers to whom access to resources is provided. Examples of virtual access activities are databases available via Internet, or data deposition services”
The JERICO-NEXT partners are providing a large number of in-situ monitoring and numerical modelling infrastructures, with numerous marine observations and forecasting products for the coastal zone. These data are usually collected, processed, qualified, used to make products, stored and made available via a virtual (research) infrastructures (VIs), e.g. web infrastructure with high capacity and performance for big data processing and state-of-the-art web visualisation services.
VIs make use of standards for wide interoperability, whilst respecting user privacy and differences in data policies. The (virtual) access to research infrastructure is of fundamental importance for making science, new discoveries, new developments, and new assessment and disseminate new knowledge.
In this framework, one specific scope of the WP5 – Data Management is to suggest actions and recommendations that better connect the Virtual Infrastructure (VI) and JERICO-NEXT systems to make data easy accessible and visible and create the basis for building synthetic products based on original data.
The infrastructures presently included in JERICO-NEXT VIs are already providing (or can provide in the future) a wide range of products aimed to support a much broader community comprising researchers, nautical communities, maritime and port authorities, local decision agents, economical agents, schools and general public. These products include real-time or archived data, operational forecasts or information about the marine environment and processes. These products are used to support, among others, the planning of daily operations at sea (fishing activities, nautical sports …), the management of coastal environment, crisis at sea, management of marine resources.
The role of the VI providers is to make their data available, the JERICO-NEXT WP5 role is to make these data visible and accessible. The specific goal of the Task 5.8 is to provide an extended review of the existing Virtual Access platforms/systems in order to find out to what extent the JERICO-NEXT activities could be supported.
To this end, the VIs listed in the WP6 where evaluated adopting an approach similar to the methodology proposed by the EMODnet Med Sea Check Point 1, and in particular to the “availability” indicators (AI).
More specifically the AIs indicate the degree to which the datasets are discoverable, accessible, ready for use, and obtainable (either directly or indirectly) from the JERICONEXT VIs.
To obtain datasets, information is needed on the data provider (visibility), how to access them (accessibility), and how fast the process is to take possession of them (performance).
The availability indicators (AIs) provide then, an understanding of the readiness and service performance of the infrastructure providing access to data.
2017-01-01T00:00:00ZFerryBox Whitebook.https://repository.oceanbestpractices.org/handle/11329/15022022-06-15T19:27:30Z2017-01-01T00:00:00ZFerryBox Whitebook.
Petersen, W.; Colijn, F.
The Whitebook presents a scientific and technical description on a newly developed instrument
for automatic measurements of a series of environmental oceanographic parameters called
FerryBox which supports monitoring of the water quality of coastal and offshore waters of European
seas. Thus, a contribution to a future European Oceanographic Observation System (EOOS).
The principal idea is to use ships of opportunity like ferries on fixed routes to make automatic
measurements of important oceanographic parameters. These measurements are made in
a flow-through system where different sensor are applied to continuously measure parameters
like water temperature, salinity, turbidity as a measure of the amount of suspended matter, and
fluorescence as a measure of the amount of algae. The sustainability of the systems could be greatly
enhanced by using automatic cleaning systems so that the effort for maintenance could be reduced.
In comparison to other in situ measurement systems, the reliability and data availability of
FerryBoxes is higher and maintenance costs are significantly lower. FerryBox systems have
reached a state of matureness and the number of measured parameters is still increasing with focus
on more biogeochemical variables. The systems are extended with new sensors and analyzers for
e.g. algal composition, pH, carbon budget (pCO2, alkalinity) and on some ferry routes nutrients like
phosphate, nitrate and silicate. The Whitebook describes the technical details of such FerryBox
systems in detail. Furthermore, the applications of the collected data for monitoring and scientific
purposes is described for different water systems like the Baltic Sea, the North Sea, the Bay of
Biscay and the Mediterranean Sea. To overcome the problem of spatial scale a strong connection
has been built with satellite remote sensing, which can deliver images of certain parameters
(e.g. chlorophyll-a, TSM etc.) of much larger areas.
Long term observations on fixed transects are a powerful mechanism to detect long-term trends
in coastal and oceanographic waters. In the Baltic Sea, such time series are available for over 25
years and of great help in detecting long-term effects of eutrophication and their reduction. In
other areas examples of riverine nutrient inputs can be shown. Furthermore, the continuous
measurements, repeated along a certain transect within days or more often, are also very helpful
to detect short-term events that can be detected by research cruises only occasionally due to the
limited coverage in time. The FerryBox time series can be further used for
validation and improvement of physical models and the increasing number of biogeochemical
variables will be very useful for further development and improvement of eco-system
models. Real-time FerryBox data can be used for data assimilation to support and enable better
estimates in operational models. Furthermore, the high spatial and temporal frequency of
data by FerryBox systems can provide real-time information for nearby aquaculture and fishing
operations including early warning indicators for e.g. toxic algal blooms.
With the introduction of new sensors for alkalinity and pH ocean acidification and the special
behavior of the coastal ocean as a highly dynamic component of the global carbon budget can be
followed in detail as the diverse sources and sinks of carbon and their complex interactions in these
waters are still poorly understood.
As most FB systems are equipped with automated water sampler this makes it possible
to get water samples from certain areas on a regular basis for subsequent lab analysis. First
pilot studies highlighted the feasibility for both target and non-target exploratory screening
of trace contaminants. Another application of water sampling could be the investigation of the
steadily growing abundance of micro plastics in the oceans which might be possible after the
development of suitable analytical techniques.
Compared with other marine monitoring and measuring systems FerryBoxes acquire very
large amounts of data. Hence quality control, evaluation and processing of these data need to be highly automated, robust and reliable.
Therefore, new procedures for data processing and evaluation have been developed for
the increasing number of routinely operated FerryBoxes. The planned common European
database in connection with the EuroGOOS ROOSes, EMODnet and Copernicus Marine
Environment Monitoring Services (CMEMS) will help to make FerryBox data easily available and
visible.
In a dedicated chapter, the estimated costs for installation and maintenance of such instruments
are presented. Finally, a plea for support by the European Commission (DG Mare and DG Innovation) is made to be able to extend the current routes to e.g. other parts of the Mediterranean Sea and the Black Sea and to
support the overall data system within the future European Ocean Observing System (EOOS).
2017-01-01T00:00:00ZOperational Modeling Capacity in European Seas — An EuroGOOS Perspective and Recommendations for Improvement.Capet, ArthurFernández, VicenteShe, JunDabrowski, TomaszUmgiesser, GeorgStaneva, JoannaMészáros, LőrincCampuzano, FranciscoUrsella, LauraNolan, GlennEl Serafy, Ghadahttps://repository.oceanbestpractices.org/handle/11329/14432020-11-17T08:48:38Z2020-01-01T00:00:00ZOperational Modeling Capacity in European Seas — An EuroGOOS Perspective and Recommendations for Improvement.
Capet, Arthur; Fernández, Vicente; She, Jun; Dabrowski, Tomasz; Umgiesser, Georg; Staneva, Joanna; Mészáros, Lőrinc; Campuzano, Francisco; Ursella, Laura; Nolan, Glenn; El Serafy, Ghada
An overview of the current European capacity in terms of operational modeling of marine and coastal systems is presented. This overview is compiled from a survey conducted in 2018–2019 among members of EuroGOOS and its related network of Regional Operational Oceanographic Systems, addressing the purposes, context and technical specificities of operational modeling systems. Contributions to the survey were received from 49 organizations around Europe, which represent 104 operational model systems simulating mostly hydrodynamics, biogeochemistry and sea waves. The analysis of contributions highlights the strengths and weaknesses of the current capacity from an operational point of view, and leads to the formulation of recommendations toward the improvement of marine operational modeling services in Europe. In particular, this study highlights the heterogeneity of the European operational modeling capacity in terms of atmospheric and land boundary conditions, its limited deployment for biogeochemical phenomena, and a restricted use of data assimilation methods. In order to improve the accuracy of their simulations, model operators aim toward a further refinement of spatial resolution, and identify the quality and accessibility of forcing data and the suitability of observations for data assimilation as restricting factors. The described issues call for institutional integration efforts and promotion of good practices to homogenize operational marine model implementations, and to ensure that external forcing datasets, observation networks and process formulations and parameterizations are adequately developed to enable the deployment of high-level operational marine and coastal modeling services across Europe.
2020-01-01T00:00:00ZRecommendations for CMEMS on standard NetCdf format for tide gauge data: EuroGOOS Tide Gauge Task Team (In collaboration with GLOSS and CMEMS representatives), October 2017, Update to May 2017 version.Pérez Gómez, BegoñaHammarlinkdt, ThomasHibbert, AngelaRaicich, FabioMarcos, MartaTestut, LaurentWestbrook, GuyBradshaw, ElizabethMathews, AndyDe Alfonso, MartaManzano, Fernandohttps://repository.oceanbestpractices.org/handle/11329/14322020-10-29T14:00:39Z2017-01-01T00:00:00ZRecommendations for CMEMS on standard NetCdf format for tide gauge data: EuroGOOS Tide Gauge Task Team (In collaboration with GLOSS and CMEMS representatives), October 2017, Update to May 2017 version.
Pérez Gómez, Begoña; Hammarlinkdt, Thomas; Hibbert, Angela; Raicich, Fabio; Marcos, Marta; Testut, Laurent; Westbrook, Guy; Bradshaw, Elizabeth; Mathews, Andy; De Alfonso, Marta; Manzano, Fernando
The EuroGOOS Tide Gauge Task Team has discussed with CMEMS and GLOSS (Global Sea Level Observing System) representatives about adoption of commonNetCdf standards for sea level data from tide gauges.
2017-01-01T00:00:00ZBest Practices on High Frequency Radar Deployment and Operation for Ocean Current Measurement.Mantovani, CarloCorgnati, LorenzoHorstmann, JochenRubio, AnnaReyes, EmmaQuentin, CélineCosoli, SimoneAsensio, Jose LuisMader, JulienGriffa, Annalisahttps://repository.oceanbestpractices.org/handle/11329/12622020-04-09T22:48:31Z2020-01-01T00:00:00ZBest Practices on High Frequency Radar Deployment and Operation for Ocean Current Measurement.
Mantovani, Carlo; Corgnati, Lorenzo; Horstmann, Jochen; Rubio, Anna; Reyes, Emma; Quentin, Céline; Cosoli, Simone; Asensio, Jose Luis; Mader, Julien; Griffa, Annalisa
High Frequency Radar (HFR) technology refers to land based remote sensing
instruments capable of measuring surface currents and ocean waves at ranges up to
200 km or more. HFR technology is widely acknowledged as a cost-efficient tool to
monitor coastal regions and has potential use to monitor coastal regions all over the
world. Globally, the number of HFR stations is steadily increasing. Regional networks
provide real-time data in support of operational activities such as search and rescue
operations, fast response in case of maritime accidents and spill of pollutants, and
resource management. Each operator needs a general understanding of the working
principles in order to ensure that instruments are managed properly. A set of harmonized
quality assurance and quality control procedures is recommended, along with an
effective approach to HFR data discovery and dissemination, to provide high quality
measurements to the end users. Different documents providing best practices for
operation and maintenance have emerged in the past years. They are oriented either
to Direction Finding (DF) or Beam Forming (BF) systems, or to specific manufacturer’s
radar systems. The main objective of this paper is to offer a comprehensive “Best
Practices” document in an effort of ensuring consistency between different deployments
and harmonized operations of HFR systems. This, regardless of system manufacturer,
antenna design and setup. A homogeneous approach is given when possible, general
concepts and definitions are introduced in order to provide a framework for both data
processing and management steps. Examples are also given from the European HFR
users with focus on Near Real Time data flow suitable for operational services.
2020-01-01T00:00:00ZHF Radar Activity in European Coastal Seas: Next Steps toward a Pan-European HF Radar Network.Rubio, A.Mader, J.Corgnati, L.Mantovani, C.Griffa, A.Novellino, A.Quentin, C.Wyatt, L.Schulz-Stellenfleth, J.Horstmann, J.Lorente, P.Zambianchi, E.Hartnett, M.Fernandes, C.Zervakis, V.Gorringe, P.Melet, A.Puillat, I.https://repository.oceanbestpractices.org/handle/11329/12472020-03-27T21:04:03Z2017-01-01T00:00:00ZHF Radar Activity in European Coastal Seas: Next Steps toward a Pan-European HF Radar Network.
Rubio, A.; Mader, J.; Corgnati, L.; Mantovani, C.; Griffa, A.; Novellino, A.; Quentin, C.; Wyatt, L.; Schulz-Stellenfleth, J.; Horstmann, J.; Lorente, P.; Zambianchi, E.; Hartnett, M.; Fernandes, C.; Zervakis, V.; Gorringe, P.; Melet, A.; Puillat, I.
High Frequency Radar (HFR) is a land-based remote sensing instrument offering a unique insight to coastal ocean variability, by providing synoptic, high frequency and high resolution data at the ocean atmosphere interface. HFRs have become invaluable tools in the field of operational oceanography for measuring surface currents, waves and winds, with direct applications in different sectors and an unprecedented potential for the integrated management of the coastal zone. In Europe, the number of HFR networks has been showing a significant growth over the past 10 years, with over 50 HFRs currently deployed and a number in the planning stage. There is also a growing literature concerning the use of this technology in research and operational oceanography. A big effort is made in Europe toward a coordinated development of coastal HFR technology and its products within the framework of different European and international initiatives. One recent initiative has been to make an up-to-date inventory of the existing HFR operational systems in Europe, describing the characteristics of the systems, their operational products and applications. This paper offers a comprehensive review on the present status of European HFR network, and discusses the next steps toward the integration of HFR platforms as operational components of the European Ocean Observing System, designed to align and integrate Europe's ocean observing capacity for a truly integrated end-to-end observing system for the European coasts.
2017-01-01T00:00:00ZThe European HF radar inventory. Publication date 15 Sep 2016 (Updated version 30 Jan 2017).Mader, JulienRubio, AnnaAsensio, J.L.Novellino, AntonioAlba, MarcoCorgnati, LorenzoMantovani, CarloGriffa, AnnalisaGorringe, PatrickFernandez, Vicentehttps://repository.oceanbestpractices.org/handle/11329/12242020-02-25T18:06:56Z2017-01-01T00:00:00ZThe European HF radar inventory. Publication date 15 Sep 2016 (Updated version 30 Jan 2017).
Mader, Julien; Rubio, Anna; Asensio, J.L.; Novellino, Antonio; Alba, Marco; Corgnati, Lorenzo; Mantovani, Carlo; Griffa, Annalisa; Gorringe, Patrick; Fernandez, Vicente
The inventory of the different HF radar systems operating in Europe has been gathered thanks to the survey launched by the EuroGOOS HFR Task Team, in the framework of INCREASE and JERICO-NEXT projects. We are very grateful to all the people who kindly provided the information of their radar and related activities.
This publication summarizes the main results of the European HF radar survey. EuroGOOS HFR Task Team will keep it as living document to be updated each time new information concerning existing or future systems is made available. Please do not hesitate to contact jmader@azti.es if you detect any necessary update on the current contents.
2017-01-01T00:00:00ZRecommendations for in-situ data Near Real Time Quality Control. [Version 1.2].https://repository.oceanbestpractices.org/handle/11329/6562021-08-21T12:31:07Z2010-01-01T00:00:00ZRecommendations for in-situ data Near Real Time Quality Control. [Version 1.2].
With the construction of operational oceanography
systems, the need for real-time has become more
and more important. A lot of work had been done
in the past, within National Data Centres (NODC)
and International Oceanographic Data and
Information Exchange (IODE) to standardise
delayed mode quality control procedures.
Concerning such quality control procedures
applicable in real-time (within hours to a
maximum of a week fr
om acquisition), which
means automatically, some recommendations were
set up for physical parameters but mainly within
projects without consolidation with other
initiatives.
During the past ten years the EuroGOOS
community has been work
ing on such procedures
within international programs such as Argo,
OceanSites or GOSUD, or within EC projects such
as Mersea, MFSTEP, FerryBox, ECOOP, and
MyOcean.
In collaboration with the FP7 SeaDataNet project
that is standardizing the delayed mode quality
control procedures in NODCs, and MyOcean
GMES FP7 project that is standardizing near real
time quality control procedures for operational
oceanography purposes, the DATA-MEQ working
group decided to put together this document to
summarize the recommendations for near real-time
QC procedures that they judged mature enough to
be advertised and recommended to EuroGOOS
members.
2010-01-01T00:00:00Z