Facilities

IMOS currently has a portfolio of ten Facilities that undertake systematic and sustained observing of Australia’s marine environment, across scales (from open ocean, onto the continental shelf, and into the coast), and across disciplines (physics, biogeochemistry, and biology and ecosystems).

IMOS observations are turned into data that can be discovered, accessed, downloaded, used and reused in perpetuity by our data Facility: the Australian Ocean Data Network.

IMOS Facilities

Argo Floats

Ships of Opportunity

Deep Water Moorings

Ocean Gliders

Autonomous Underwater Vehicles

National Mooring Network

Ocean Radar

Animal Tracking

Wireless Sensor Networks

Satellite Remote Sensing

Australian Ocean Data Network


Task Teams

Task Teams are assembled to bring together people with specific interests and appropriate expertise to tackle issues that cross Node and/or Facility boundaries. 

Teams will assess particular issues, generally arising from IMOS Annual Planning Meetings, and where appropriate, develop projects to address them.


Activity Planning

NCRIS 2016 Activity Plans

The activity planning calendars for the IMOS Facilities contain details for all the planned deployment/recovery/servicing/sampling etc. activities for the NCRIS 2016 funding period.

Each spreadsheet contains details on; planned activity dates, vessels, nodes, facilities, sub-facilities, operators, organisations involved, recovery dates, regions and data availability.

The activity plans can be found here.


Quality Assurance and Quality Control by Variable

This is a working document designed to summarise the current status of quality assurance and quality control (QA/QC) procedures across IMOS from the perspective of the ocean variables we are measuring. This has not been done before now, and it is expected to take some time to complete.

The purpose of this document is to highlight gaps, identify priorities, and to provide an evidence base for use by the IMOS community in considering whether or not the QC procedures that we have evolved are as effective and efficient as they need to be for a sustained observing system.

The Quality Assurance and Quality Control by Variable Document can be downloaded here.

The document above identified a series of issues and provided recommendations to address those issues. An implementation plan has now been developed for these recommendations. Each issue is discussed individually by facility and variable and provides the steps needed to implement the recommendations. This includes the identification of the facilities and staff that should be involved. Some of the recommendations will include more than one option for its implementation while in other instances implementation will be dependent on funding availability before we can proceed.

For the purpose of this document, Quality Assurance (QA) will be defined as the processes necessary to support the generation of high quality data and Quality Control (QC) will be defined as the follow-on steps that support the delivery of high-quality data, requiring both automation and human intervention.

The QA/QC Implementation Plan can be downloaded here.


Workflows

Sustaining the delivery of data streams ‘from sensor to portal’ involves complex processes, with many steps to be taken by many individuals, often from different institutions in different locations.  Workflow diagrams have been developed to document these processes so as to clarify roles and responsibilities, and provide a basis for improvement of these processes over time. 

The workflow diagrams for all Facilities can be located here.