Climate change is a critical threat to food security in high Andean regions, where potato (Solanum tuberosum L.) is a strategic crop. In the Peruvian Altiplano, projected increases in temperature and decreases in precipitation heighten the vulnerability of rainfed farming systems. In this context, simulation models are essential to anticipate impacts and design adaptation strategies. This study evaluated the effects of climate change on the yield of three potato varieties (Imilla Blanca, Imilla Negra, and Andina) in Taraco and Juliaca, using the AquaCrop model calibrated and validated with experimental field data collected between 2018 and 2021. Trials were conducted under a randomized complete block design, with three sowing dates. Calibration employed phenological, biomass, and yield data, assessed through statistical indicators (r, RMSE, d, and EF), showing robust performance. With th...