Meteorologists like to categorize and rank things, and snowstorms are no exception. That’s where the Regional Snowfall Index comes in.


What You Need To Know

  • The Regional Snowfall Index considers snowfall and population

  • It's tailored to certain geographical areas

  • The scale goes from 1 to 5

NOAA’s National Centers for Environmental Information started officially using the Northeast Snowfall Impact Scale (NESIS) in 2005. NESIS ranks snowstorms not just on weather, but on societal impacts.

It uses population and historical snowfall information from the eastern two-thirds of the U.S. and applies that to Northeast snowstorms. Big snows falling on big cities have big impacts, so NESIS accounts for that by incorporating how much snow fell over an area and the population affected.

All that data leads to a score, which corresponds to a 1-5 scale.

However, the calculation doesn’t work well in other areas. For example, a snowstorm in North Carolina that’s significant by Southern standards might not even rank using the NESIS formula.

That’s where the Regional Snowfall Index comes in. The RSI ranks storms based on the historical particulars of smaller regions. Like the NESIS, it gives storms a 1-5 rating based on population and snowfall.

Like the Enhanced Fujita tornado damage scale, NESIS and RSI rate snowstorms after they’ve happened.

Wondering what the RSI says the top three snowstorms are in the Ohio Valley?

#1: Nov. 22-30, 1950

RSI: 34.693, Category 5

This early season winter storm brought widespread heavy snow to the region. Parts of eastern Kentucky got about a foot of snow, while eastern Ohio tallied two feet.

#2: Mar. 12-15, 1993

RSI: 24.629, Category 5

The Blizzard of 1993 was one of the most powerful nor'easters on record. A half-million people in the region got more than a foot of snow from this.

#3: Feb. 1-4, 2011

RSI: 21.990, Category 5

This storm bypassed much of Ohio and Kentucky, but crippled the Chicago area with heavy snow and strong winds.