David Dilley has spent decades building a computerized weather forecast
model that he says can predict the volatility of a hurricane season up
to four years in advance. Dilley, 68, an Ocala resident
who owns and operates Global Weather Oscillations Inc., recently
unveiled his computer model concept, which he touts as a one-of-a-kind
long-range forecasting tool that relies on weather cycles.The
National Oceanic Atmospheric Administration uses several short-term
weather cycle-type oscillation models — as well as La Nina or El Nino
influences — to forecast six months to a year into the future. NOAA does
not use weather cycle data to predict hurricanes four years out. Dilley,
a former NOAA meteorologist who worked in Boston for two decades, says
his models can predict hurricane activity years ahead. He
sells his expertise to clients such as insurance agencies. Those
companies use the hurricane forecasts before deciding when, or whether,
to expand into coastal markets down the road. Dilley
said he has gathered decades of weather data that help identify
specific weather cycles, which in turn help him predict the frequency of
hurricanes in the Atlantic Ocean and the Gulf of Mexico. Dilley says his models have accurately predicted hurricane activity in each of the past five seasons. Using
the model, Dilley projects the activity in 11 different Atlantic and
Gulf Coast zones. He has found that each of the zones has varying
weather cycles — up to about 50 years each. And each zone's cycle has
its own smaller weather cycle. Once all of the cycles within cycles are
discovered, a pattern for each zone emerges. After analyzing the data,
Dilley then projects hurricane and tropical storm probabilities for each
of the 11 zones. Dilley said his agency, unlike the major
prognosticators, predicted a slow season in 2013 and an active season in
2012. Dilley believes his
prediction model, called “Climate Pulse Technology,” proves that
weather cycles are the most accurate long-range hurricane forecast tool
in the market.
http://www.ocala.com/article/2013131219767?p=1&tc=pg
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