G6.01    Dispersed governance of high-quality measurement assets leading to gaps and redundancies in capabilities and methodological distinctions.

Gap detailed description

Non-satellite data sources identified as reference and baseline quality within GAIA-CLIM have greatly dispersed governance. This dispersed governance leads to decisions which, although sensible on a network basis, are sub-optimal on a more holisitic basis. This fractured governance also results from but also augments a diversity in funding support and observational priorities as discussed in G6.02 and G6.03. Different networks take different approaches to data processing and serving which reduces comparability of the resulting data.

Activities within GAIA-CLIM related to this gap

This gap is indirectly addressed within GAIA-CLIM to the extent that it brings together actors from many of the high-quality networks. However, there is no single activity which specifically addresses this point.

Gap remedy(s)

Two rememdies are foreseen.

In the short term efforts should be made to strengthen cross-network governance representation to improve coordination. In the longer term it may be advisable to seek to merge networks where possible and where aims overlap sufficiently so that non-satellite high-quality measurement systems have a stronger and more unified voice globally.

Remedy #1

Specific remedy proposed

Strengthen existing efforts to ensure meaningful collaboration through cross-governance group representation, network memorandaof understanding and involvement in joint research and infrastructure activities.

Measurable outcome of success

Demonstrable increase in collaboration between networks through joint projects, publications, and participation in network meetings.

Achievable outcomes

Technological viability: High

Indicative cost estimate: Low (<1 million)

Relevance

The remedy would improve visibility of all high quality networks and their relevance.

Timebound

Within the GAIA-CLIM project timeframe.

Remedy #2

Specific remedy proposed

Rationalise the number of networks involved in taking high-quality measurements by merging where possible leading to more unified governance and planning for these measurement programs both regionally and globally. Mergers should be on a no-regrets basis and should not be enforced if funding support or other essential support would be weakened as a result.

Measurable outcome of success

Reduction in complexity of the ecosystem of observing networks through time while retaining and enhancing observational capabilities.

Achievable outcomes

Technological viability: High

Indicative cost estimate: Medium(<5 million)

Relevance

The remedy would make it easier for funding and research communities to interact with the high-quality measurement networks.

Timebound

Long term: at least five to ten years.

Gap risks to non-resolution