Can you outline some of the benefits of using CCI datasets?

Satellite data aren’t always optimally processed and may contain jumps (discontinuities), erroneous data or have other issues. CMUG is re-processing the data to produce datasets useful for climate studies.

CMUG is evaluating a set of essential climate variables (ECVs; defined by GCOS) which were identified by climate scientists as key for climate research. They are:

Artificial image of the Earth surrounded by the symbols of the essential climate variables

Essential climate variables for CMUG: sea ice, sea level, sea surface temperature, ocean colour, ice sheets, glaciers, land cover, soil moisture, fire, ozone, greenhouse gases, cloud, and aerosol

Examples of their use include ozone climate data record, profiles and total column, which are being used in a reanalysis models by ECMWF and other numerical weather prediction modelling centres. This is the most accurate record we have of global ozone.

Another example is the glacier dataset. The glacier team is using CCI data to map changes in the area, thickness and extent of glaciers over time, providing a clear record of changes over the last 15 years compared with the pre-satellite record.

Sea level data provides a very clear indication of sea level rise over the last two decades associated with climate change.