This should probably move to banter, but I feel obligated to respond as I'm studying data science.
The most often-cited resource on this is: Walsh, John E.; David Allen (October 1981). "Testing the Farmer's Almanac". Weatherwise.
The findings of the above study (University of Illinois) were that monthly precipitation and temperature forecasts were 52% and 51% accurate over a 5-year study period, respectively. Given an anticipated random accuracy of 50%, this suggests that their method (if any) does not significantly increase the forecast accuracy above simple guessing.