This section collects studies in which the Complete Data Fusion (CDF) algorithm has been applied to real atmospheric measurements to produce fused profiles. These are focused investigations — proof-of-concept applications, methodological validations, or exploratory analyses — carried out on a limited set of real data rather than as a systematic, large-scale production run.
The studies collected here may include:
- Case studies — CDF applied to specific geolocations, time windows, or atmospheric events to demonstrate the improvement in information content and uncertainty reduction achieved by fusing multiple instruments
- Methodological investigations — analyses that use real data to examine specific aspects of the CDF formulation, such as the sensitivity to the choice of a priori, the role of the Gram–Schmidt basis expansion, or the behaviour of the algorithm in challenging conditions
- Instrument combinations — experiments involving pairs or larger sets of instruments, used to assess the feasibility and benefit of their fusion before committing to full-scale production
- Preliminary validations — comparisons between CDF-fused profiles and independent reference measurements
- Exploratory input testing — informal verification of new or candidate datasets not yet covered by a full structured test, carried out in the context of a specific fusion experiment
Each study page documents the input datasets used (instruments, date, geolocation), the objectives, the main results, and any open questions or follow-up work identified.