|ABSTRACT||This year marks the transition into the operational phase of the Copernicus Climate Change Service (C3S). This service, run and managed by ECMWF on behalf of the European Commission, is making a very vast amount of climate data easily accessible to the users. At the core of the C3S is the Climate Data Store, an entry point to a distributed archive of quality controlled climate data. Among many other datasets CDS provides access to global and regional reanalysis (e.g. ERA5), multi-model seasonal predictions (ECMWF, Met Office, Meteo France, CMCC, DWD, ..), gridded observation, climate records for the majority of GCOS Essential Climate Variables (ECVs) as well as regional and global climate projections (Euro-Cordex and CMIP5). The CDS offers also a cloud-based computational layer that allows users to manipulate and post-process data using a python-based environment without the need to first downloading the data on their machines.
Here we present the basic architecture of the CDS describe some of the most iconic datasets available on the catalogue, and present the compute layer through a series of examples which show how the infrastructure could be use to address the needs of users operating in specific sectoral contexts.|