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. Over the past decades, the successive Coupled Model Intercomparison Projects(CMIPs) have produced a huge amount of global climate model simulations.Along these years, the climate models have advanced and can thus providecredible evolution of climate at least at continental or global scales sincethey are better representing physical processes and feedbacks in the climatesystem. Nevertheless, due to the coarse horizontal resolution of globalclimate models, it is necessary to downscale these results for their use toassess possible future impacts of climate change in climate sensitiveecosystems and sectors and to adopt adaptation strategies at local andnational level. In this vein, the Spanish State Meteorological Agency (AEMET)has been producing since 2006 a set of reference downscaled climate changeprojections over Spain either applying statistical downscaling techniques tothe outputs of the Global Climate Models (GCMs) or making use of theinformation generated by dynamical downscaling techniques through Europeanprojects or international initiatives such as PRUDENCE, ENSEMBLES andEURO-CORDEX. The AEMET strategy aims at exploiting all the available sourcesof information on climate change projections. The generalized use ofstatistical and dynamical downscaling approaches allow us to encompass agreat number of global models and therefore to provide a better estimation ofuncertainty. Most impact climate change studies over Spain make use of thisreference downscaled projections emphasizing the estimation of uncertainties.Additionally to the rationale and history behind the AEMET generation ofclimate change scenarios, we focus on some preliminary analysis of thedependency of estimated uncertainties on the different sources of data.

Strategy for generation of climate change projections feeding Spanish impact community