SOOS is an international initiative with the mission to facilitate the collection and delivery of essential observations on dynamics and change of Southern Ocean systems to all international stakeholders (researchers, governments, industries), through design, advocacy and implementation of cost-effective observing and data delivery systems.
SOOS Objectives are structured to follow a logical sequence of implementation: Design of the System, Capabilities, Observations, Regional Implementation, Data Deliver, Support Activities
1) Facilitate the design and implementation of a comprehensive and multi-disciplinary observing system for the Southern Ocean.
2) Advocate and guide the development of new observation technologies
3) Compile and encourage use of existing international standards and methodologies, and facilitate the development of new standards where required
4) Unify and enhance current observation efforts and leverage further resources across disciplines, and between nations and programs
5) Facilitate linking of sustained long-term observations to provide a system of enhanced data discovery and delivery, utilising existing data centres and programmatic efforts combined with, as needed, purpose-built data management and storage systems
6) Provide services to communicate, coordinate, advocate and facilitate SOOS objectives and activities
SOOS has the vision that sustained observations of dynamics and change of the physics, chemistry, geology and biology of the Southern Ocean system should be readily accessible to provide a foundation for enabling the international scientific community to advance understanding of the Southern Ocean and for managers to address critical societal challenges.
In 2012, SOOS published its vision for the future, outlining the long-term goal of SOOS, the gains inherent in its implementation, and how the international community can move towards achieving it.
The SOOS vision is nicely summarised in this schematic. It shows a cyberinfrastructure-based vision for SOOS, where marine assets would include a mixture of both autonomous and non-autonomous platforms, but relying more heavily on the former over time. Combined with satellite remote sensing, the data would be relayed to ground stations in real time, where assimilating ocean models would produce near real-time state estimates of each of the parameters in the system. The error fields associated with these assimilating models would then be used to re-task the autonomous platforms in real time, thus maximising the spatial-temporal coverage of each of the parameters being measured, without specific need for human intervention.
The above vision is many years away, and it behoves us to work towards it progressively, yet strategically. Significant advances in cyberinfrastructure, modelling and observation technologies are needed to achieve the required capabilities. Further, international cooperation, infrastructure and investment are critical for the success of SOOS.