Using documentary sources, a series of the annual number of snow days in th
e Mendoza area of Argentina has been constructed. Analysis of the series us
ing Singular Spectrum Analysis (SSA) and the Maximum Entropy Method (MEM) s
howed that the number of snow days exhibits interdecadal and interannual os
cillations with periods of about 28 and five years. Furthermore a positive
trend was detected. This temporal pattern is consistent with studies of the
variability of global surface temperature, indicating a strong relationshi
p between temperature and snow occurrence in the climate system and the pot
ential for using snow occurrence as an indicator of climate change.