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. |