Information regarding data quality and integrity are essential considerations when selecting a suitable dataset and Earth Observation (EO) and climate model data is no different. Data Integrity (DI) is central to the uptake and use of this data across science and commercial applications and research and operational usage scenarios.
Following consultation with CEMS stakeholders, data integrity was defined in the context of CEMS as:
Data Integrity also includes the analysis of:
In addition, CEMS hosts a number of applications which can be used to derive useful information about a dataset. In particular, CEMS provides a series of tools to identify co-located in situ data and associated datasets to enable comparative accuracy and error characteristics of their data. Such collocation tools include GECA, an operational ESA-funded application and demonstrators such as OceanDIVA, which compares observed and modelled ocean data and Storm TRACK, which tracks storms events and finds simultaneous EO datasets.
Finally, CEMS provides access to experts in a range of themes who can undertake bespoke DI commissions and service development.