The best explanation for the difference in the measures of center (median and mean) for the snowfall data in City A and City B is:
One set of data has more variation than the other.
This is supported by the fact that a difference in the measures of center (median and mean) suggests that one city's snowfall data may be more spread out (i.e., have greater variation) than the other. When data has more variation, it can lead to different means and medians, especially if the distributions are not symmetric.
The other options do not provide a valid explanation for the differences observed in the measures of center based on the information given.