Meteorologists often deal with the assumption that their profession is guess work and results in incorrect forecasts.  However, the task given to meteorologists makes it difficult for them to make completely accurate predictions all of the time.  This is similar to the problems encountered by those attempting to forecast outcomes of real life situations in economics, world politics, and even sports.  This plight is covered in a New York Times article by Nate Silver.

Meteorologists are constantly bombarded with information giving them second by second updates on various factors in weather patterns.  The combined computing ability of humans and technology has not yet reached the point that we can process all of the information at a rate that allows real time adjustments to forecasts.

Another obstacle that meteorologists face is the uncertain nature of the future.  While historical comparisons are handy to have on hand, they often do not help on a day to day basis.  Knowing that it rains 45 percent of the time during a particular month is not very helpful in attempting to forecast the weather for a single day.  There are an abundance of factors that must be considered.  Even one small change to previous data can completely change a future outcome.  This is not something that meteorologists or even their computers have succeeded in doing at this point.

For those of us devoting much of our time trying to become better at predicting the future, the consciousness of uncertainty shown by meteorologists is a useful lesson.  Learning to integrate and account for uncertainty is a significant step in maturing as an analyst.  Check out the article (linked above) and see if you find any more similarities or differences.  Be sure to let us know in the comments what you find!