This report briefly describes how SENAMHI (http://www.senamhi.gob.pe/) obtained local projections of precipitation/ maximum/minimum temperature (daily data up to 2065) for 265/105/102 selected stations over Peru, needed for the completion of tasks within the Component I of the AMICAF project. In particular, an analog‐ (regression‐) based technique was applied to generate an ensemble of six ‘plausible’ projections of precipitation (temperatures), considering three different Earth System Models and two Representative Concentration Pathways. The tool used to this aim was the Statistical Downscaling Portal (https://www.meteo.unican.es/downscaling/intro.html) developed and maintained by Predictia Intelligent Data Solutions (http://www.predictia.es/en/home) and the Meteorology Group of the University of Cantabria (http://www.meteo.unican.es/en/main). The Component I of AMICAF Peru prov...