The Center for Climate Research and Resilience (CR)2 focuses on Earth System Science, with an interdisciplinary approach that allows to better understand Climate and Ecological System, and societal resilience in Chile. In this talk, we will present the lifecycle of meteorological data that is used by (CR)2, the layers of aggregation applied to make it understandable by different end users, and its potential use in decision and policy making. In this context, getting access to sound local meteorological time series is critical for all research lines, and one of the main tasks still in progress, is to compile local observational databases as ancient as possible, and make them publicly available, in scientific format for different communities. This requires data recovery, compilation of existing data and some consistency checks. Other databases that are needed, are larger sets of gridded climatological data (which result from global and regional simulations both for past and future scenarios), satellite data, reanalisys products, as well as air or water quality related data. The sources are numerous, as are the formats and sizes that the data comes in. In parallel, the Center needs high performance computing environments, as well as large storage capacity, for the performance of climate simulations through earth system models. The main users of this data come from the scientific community itself, but generating statistics, analysis, and visualization products based on the this 'raw' data, allows to make climate information accessible and understandable to more end users. The ultimate step, is to incorporate climate scientific results in decision and policy making at different levels by means of Climate Services.