Technologies and processes for improving the management, accessibility, and dissemination of ocean observations. Related ocean observing key expertise: Data scientists; Science communicators; Citizen Science experts.

  • Promote and expand training camps, summer schools, and networking international consortium for data-users and modelers.

  • Define core competencies in ocean data science that are necessary for graduate training.

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Data Integration With User Products

As technology improves for observing the oceans, the data and output needs to be accessible and comprehensible to not just the measurement team but also to other researchers, science applications, modelers and educators. To reach the widest audience and integrate with various systems and services, the data should have a data management plan and be formatted so it can be interoperable by following conventions and standards set forth by climate, meteorological, oceanographic, and other Earth science communities. This session will discuss the above, what is currently available as resources, and what gaps and other special considerations need to be addressed going into the next decade to make data more accessible and usable to a variety of users.

Funding agencies of ocean observing systems need to align funding to meet the demands of data management, long-term stewardship, and training by participation in e.g., IODE, ESIP, E2SIP, CODATA, RDA.

To qualify user products, a quantified measurement uncertainty should be added to each measurement result entered into ocean observation systems.

Data providers should strive to use web services with well described and open APIs to distribute and make their data accessible to human and machine consumers to enable data products downstream.

Engagement Activity: Workshop

Planning a workshop in 2020 to strategize communications and funding.

Observing Technology Innovation: Platforms and Technology

Technological advancements in ocean observation and communications contribute to the improvement of marine awareness and environmental understanding. This session looks to identify and discuss breakthrough approaches in robotic persistence and scalable platforms and methods of transmitting data for relevant applications. Innovations in this important area can contribute to a better understanding of ocean modeling, marine mammal activity, and weather while reducing cost of capabilities required to obtain this information.

Stakeholders & funding agencies need to promote early & consistent connection & dialogue amongst researchers, engineers/technologists & data science communities at the inception of observing programs to ensure that objectives and requirements are met.

The ocean observing community must establish a stronger pipeline for innovators from engineering, computer science, data science, and material science.

Distributed and extensive ocean obs platforms/systems are required to increase community emphasis on turning prototype tools & individual sensors into integrated platforms & production systems using best practices in systems engineering & data management.

Workshop Report Publication

2018 Workshop on Platforms and Communication to be published soon.

Observing Technology Innovation: Satellites

This session will present the new satellite sensors being developed or proposed over the next decade, to enhance our global observations of ocean surface parameters, many aiming at finer scale ocean processes. The dynamical processes being observed are diverse and complementary (SST, SSS, SSH, winds and waves, ocean color, marine gravity), and their synergestic use will be discussed. Linking these satellite observations of smaller, rapid processes to the upper ocean vertical structure also requires a new reflection on the required in-situ sampling at these scales.

Enhance high-resolution coverage in space and time of satellite observations extending into the polar regions, coastal and regional seas, and in the equatorial band, whilst maintaining long-term continuity in the satellite observing system.

Fly Missions to cover Gaps in observed ocean ECVs/EOVs where the technology exists: total surface currents, wave spectra, vertical plankton distribution, ….

Promote synergy and co-ordination between agencies for (1) multiple sensors, platforms and disciplines for an integrated virtual constellation to observe the ocean’s small rapid scales globally, and (2) for in-situ Calval infrastructure.

Expansion and Communication of Recommendations

Recommendations relayed to US and European agencies.

Open Source Software Revolution

The evolution of open source software coupled with modern computing platforms enables new scalable scientific approaches. This session will explore applications of open source software to science, discuss popular tools and best practices, identify potential barriers to this rapidly advancing form of collaboration, and generate ideas on how open source software can further benefit the scientific community.

Resources aimed at developing the knowledge & experience necessary to use & develop open source software will enable more scientists to benefit from the advantages of open source software.

Identification of existing & development of new methods that provide credit for publishing open source software is important for acceptance of open source software. These include inclusion of software digital object BinderHubs, reporting GIThub activity.

Support & further development of existing open source libraries that enable oceanographers to advance their science, including federal employees working on open source projects, funding work on libraries, or funding add-ons for grants.

Developing Open Source Libraries

Engaging with US agencies on open source requirements and communicating break out session outcomes.

Uncertainty Quantification

Oceanography has entered a realm of big data in recent decades, prompting an increased need for data curation and uncertainty quantification. This session will focus on best practices for the derivation, communication, and utilization of the uncertainties of in-situ, derived, and modeled ocean products. Participants will discuss how uncertainty quantification can be incorporated into analyses, observing system design, data assimilation, and other user applications.

We should train ocean observers and modelers in statistical terminology and techniques for the purpose of uncertainty quantification.

Building on existing efforts, we should produce a series of peer-reviewed and open-access documents that define and recommend strategies and best practices for uncertainty quantification in ocean observing.

Research programs should require and fund routine uncertainty estimates on ocean observations and derived products, and should fund dedicated efforts to develop freely available resources (software and databases) for uncertainty quantification.

Uncertainty Quantification Working Group

Submitted proposal for working group to US CLIVAR that closely maps the OO’19 recommendations by supporting a workshop/training, maintaining website as informational source.