  While it has long been believed in psychology that weather somehow influences
human's mood, the debates have been going on for decades about how they are
correlated. In this paper, we try to study this long-lasting topic by
harnessing a new source of data compared from traditional psychological
researches: Twitter. We analyze 2 years' twitter data collected by twitter API
which amounts to $10\%$ of all postings and try to reveal the correlations
between multiple dimensional structure of human mood with meteorological
effects. Some of our findings confirm existing hypotheses, while others
contradict them. We are hopeful that our approach, along with the new data
source, can shed on the long-going debates on weather-mood correlation.

Social and Information Networks;Computation and Language