G6.03 Lack of dedicated funding for targeted observations to coincide with satellite overpass
Gap detailed description
Many high-quality observational assets do not operate 24/7. For some instruments there are geophysical limitations as to when measurements can be undertaken e.g. an FTIR requires direct line of sight to the sun. But for many others it is for financial or logistical reasons that measurements are solely episodic. For example, radiosonde launches tend to be twice-daily or at best four times daily. Similarly, lidar operations may be made only when staff are available. Because funding for these observations typically is not concerned with satellite characterisation the sampling strategy is sub-optimal for satellite characterisation.
Activities within GAIA-CLIM related to this gap
None.
Gap Remedy(s)
Funding mechanisms need to be assured that optimise the observational scheduling for satellite characterisation if the full utility of these measures is to be realised.
Specific remedy proposed:
Space agencies to work with relevant observational networks to support targeted observations to maximise their utility for satellite characterisation through targeted support for observations concentrating upon the highest-quality observational assets.
Measurable outcome of success:
Increased number of high-quality non-satellite data co-locations with satellite measurements on a sustained basis
Technological viability:
High
Indicative cost estimate:
High (>5 million) globally but likely medium or low nationally
Relevance:
Increasing the number of co-locations available would improve the ability to undertake robust satellite characterisation.
Time bounds:
Long term, at least five to ten years. Sustained
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 |
Paucity of high quality co-locations in the future. |
High |
Reduced ability to independently characterise the data quality of satellite missions |