G6.02

G6.02    Geographically dispersed observational assets reduce their utility for satellite Cal/Val

Gap detailed description

Related to G6.01 but also several gaps in the underlying work packages, a result of the fractured governance of observational networks is that instruments are very frequently not co-located. That is to say that an FTIR may belong to network X and be located 100km distance from a suite of complimentary observations belonging to network Y. Because the measurements are geographically dispersed this serves to reduce their value for numerous applications including, but not limited to, satellite characterisation.

Activities within GAIA-CLIM related to this gap

There are no specific activities within GAIA-CLIM that directly adress this gap.

Gap remedy(s)

The most obvious remedy is to rationalise on national / regional levels observational assets to ensure maximum scientific value. This rationalisation needs to account for both measurement heritage and the range of observational application areas.

Specific remedy proposed

National and / or regional assessments of high qualtiy observational assets leading to reviews of strategies which may lead to consolidation of facilities where a clear benefit to multiple data stakeholders is identified.

Measurable outcome of success

Evidence of more strategic decision-making and long-term planning in research infrastructure investments.

Achievable outcomes

Technological / organizational viability: High

Indicative cost estimate: High (> 5 million) globally but likely medium or low nationally.

Relevance

Increasing the utility of high-quality measurements would benefit multiple application areas.

Timebound

Long term, at least five to ten years.

Gap risks to non-resolution

Identified future risk / impact

Probability of occurrence if gap not remedied

Downstream impacts on ability to deliver high quality services to science / industry / society

Continued lack of strategic placement of research infrastructure leading to diminished scientific value across the range of application areas.

High

Reduced qualtiy of data services provided.