Introduction Of The LRC

The LRC is a peer reviewed weather prediction method that has been developing and evolving over the past 80 years. In the 1940s, Jerome…

The LRC is a peer reviewed weather prediction method that has been developing and evolving over the past 80 years. In the 1940s, Jerome Namais published many concepts an potential cycling patterns. In one of his publications on the “The index cycle and its role in the general circulation”,

https://journals.ametsoc.org/view/journals/atsc/7/2/1520-0469_1950_007_0130_ticair_2_0_co_2.xml

Namais discusses how there is enough information by the mid-fall months, November, to make accurate predictions of what will happen the next winter. He also discusses anchor troughs and ridges that become established in the fall and that an index cycle lasts up to weeks at a time.

Namais was onto something in the 1940s and 1950s before computer technology evolved. Around 30 years later in the mid to late 1980s, I stumbled across the cycling weather patterns. And from the 1980s to the 2020s we have developed the Cycling Pattern Hypothesis, that was named the LRC by the KSHB-TV bloggers in 2002. The LRC provides the weather forecaster with a great tool to help in prediction of every days weather for all locations of the world from 1 day to up to 350 days out. And, this is exactly what Weather 20/20 is bringing to the market, the world.

A unique weather pattern sets up every year, and the Weather 20/20 team has decades of experience bringing these increasingly accurate predictions of tropical storms, severe weather outbreaks, winter storms, heat waves, Arctic blasts, and daily predictions for most of the world. Customers will have anywhere for days to months lead time to make valuable decisions.

Just look at the weather pattern this week:

LRC Cycle 5 — April 10, 2021 500 mb flow

LRC Cycle 2 — November 25, 2020 500 mb flow

This second map shows the flow on November 25th. By late November, we predicted that a pattern similar to this one would cycle back through now, around April 10th, and right on schedule it lined up quite well. Our computer model and meteorology team predicted a significant storm to have impacts. And, it is verifying!

These accurate predictions are available now for businesses to leverage. The data is available for input into your analytics now!