GAIA-CLIM task 1.3 will provide a demonstrator mapping facility, which shall allow users to explore the data in the context of available non-satellite and satellite capabilities taken together. This is the proposed GAIA-CLIM solution to implement in the EO programme to (at least partially) remedy this gap.
GAIA-CLIM task 1.3, deliverable D1.8 – Provision of a 3D tool for the online visualization of existing measurements (CNR; M24)
Specific remedy proposed
GAIA-CLIM will provide a mapping capability to address this gap through Task 1.3. The software will be able to evaluate each network (taking advantage of the metadata collected through GAIA-CLIM Task 1.2) using the maturity matrix approach elaborated within Task 1.1. This software (to be delivered by February 2017) might be established as a permanent operational service. This work might be offered to the community also to encourage a joint effort amongst global stakeholders like GCOS, GEOSS, GAW to foster the design of further relevant tools.
Measurable outcome of success
The adoption of the proposed open source platform for metadata visualization by C3S or other agencies established as a long term service is a measure of the success of this activity after the end of GAIA-CLIM.
Achievable outcomes
Technological / organizational viability: High
Indicative cost estimate: low (<1 million)
Relevance
The synergic approach based on metadata collection and its visualization provides the basis to identify geographical gaps and, therefore, the starting point for any other scientific assessment within the GAIA-CLIM project (e.g. G1.09, 1.15, etc).
Timebound
Identified future risk / impact |
Probability of occurrence if gap not remedied |
Downstream impacts on ability to deliver high quality services to science / industry / society |
Lack of tools to drive future investments for the EO |
Medium |
Lack of services in the frame of the EO programs enabling users to quickly access and assess the suitability of a number of fully traceable reference measurements for a given application to satellite characterisation. |