This paper examines the relationship among the outdoor thermal
conditions in northern European countries and their individuals' web
searching frequency on summer holidays and touristic destinations. While
previous studies have examined biometeorological conditions' impacts by
comparing statistics from police and hospital archives, this paper
focuses on the Big Data gathered by Google and delivered by Google
Trends service as a new and promising species of data. The correlation
of those two factors (thermal conditions and searching frequency)
indicates the connection between the atmospheric thermal conditions and
the alteration of human behaviour and desires. The analysis and the
visualization of time-series, longer than a decade, retrieved by five
countries, reveal the anticipated seasonal covariance and a striking
impact of the thermal conditions on the searching behavior of the
individuals. Additionally, the paper introduces a new field of combined
utilization of web searching activity and atmospheric data
