There are many methods. Among the simplest

1) Run a principal component analysis on the temperature table crossing locations (rows) and dates (columns)

2) Run an automatic classification procedure on the scores of rows

If you use R, step 1 can  be done with the dudi.pca function, package ade4. Step 2 can be done with the hclust function, available in the regular R distribution.