Gary Lezak explains this forecasting theory - Lezak's Recurring Cycle

KANSAS CITY, Missouri - The Lezak's Recurring Cycle (LRC) is a theory developed by Gary Lezak. Gary noticed back in the 1980s that storm systems seemed to have similar characteristics unique to that year.

Quite simply a storm in February looked very similar to one that had occurred earlier in that season, say in December. As the years went by Gary started paying closer attention to the weather patterns and he came up with the LRC.

The LRC (Lezak's Recurring Cycle)

  • A unique weather pattern sets up every autumn between October 1st and November 10th
  • "Long term" longwave troughs and ridges become established over the northern hemisphere
  • The pattern cycles and repeats over and over again until it slowly weakens and falls apart late in the summer before a new pattern sets up in the fall

It isn’t just one storm that repeats. It is the entire weather pattern that is cycling. We believe that a good weather forecaster can use knowledge of the LRC and make accurate weather forecasts both short and long range.

Once we figure out the cycle and the weather pattern we can project weeks to months ahead and make these accurate forecasts. Last winter (2009-2010 season) we made a prediction on December 3rd that there was a high likelihood of a major snowstorm around Christmas.

Gary used his knowledge of the LRC and made this forecast based on the weather pattern that had set up in October and November. On Christmas Eve a major snowstorm and blizzard tracked from Oklahoma City to Kansas City. An accurate forecast made three weeks out, which is unheard of in weather forecasting, but not any more.

The new LRC has set up for this winter and our weather team has spent the past few weeks analyzing the data and we will be making our winter forecast soon. As we move into December our weather forecasts can get more specific, so read the Action Weather Blog at or watch NBC Action News as we bring you the most accurate forecast every night using the LRC.

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