Tracking System Performance
The Framework specifies that all systems of the GOOS should be under constant evaluation to discern changes in readiness and identify risks that the networks might become impaired in the future, whether by technology drift or changing national commitments to sustaining the networks.
Monitoring is conducted based on a series of metrics, that are used to address all stages of the observing system workflow:
- Implementation metrics that help quantify how the observation networks satisfy the network requirements. Examples: frequency of observations, number of instruments deployed, age of instruments.
- Performance metrics that help quantify how the observations satisfy the requirements in terms of Essential Ocean Variables and how they represent phenomena of interest. Examples: percentage of expected coverage, number of measured variables.
- Data delivery metrics that help quantify how efficiently and adequately the data and information is transferred to users. Examples: transmission delay, adequacy of metadata, satisfaction of data format requirements.
- Impact metrics that help quantify the usage of the data, information, and products for societal benefit. Examples: number of peer-reviewed publications, number of research projects.
Improving the System with Targeted Projects
System-based evaluations can lead to finite lifetime observing system development projects. These projects often involve several expert panels and aim to either address an old system in need of renovation or a globally recognized scientific gap.
Find out more about how Projects help improve the readiness of the System.