Latest storm likely to make the 2010s the snowiest decade in the east coast in the NOAA record – surpassing the 1960s!

Via Meteorologist Joe D’Aleo

Latest storm likely to make the 2010s the snowiest decade in the east in the NOAA record
By Joseph D’Aleo, CCM (Certified Consulting Meteorologist)

It was quite a storm. I have never seen Logan Airport report heavy snow with an air temperature of 1F (not wind chill) before. The ended up with 15.1 inches. Boxford had 23.8 inches.


Even as more cold and snow invades the central, near the east coast, the post storm blues have set in with the inevitability of an inside runner following rapidly on its heels. But snow loving friends, we have lived through quite a decade and the millennium so far has been a boon to snow lovers despite the continuing claims that snows are becoming rare and hurting winter sports as erroneously reported last week in Boston Magazine.

We here are using NOAA’s own NESIS scale – which we used to call the Kocin/Uccellini storms.

The Northeast Snowfall Impact Scale (NESIS)

While the Fujita and Saffir-Simpson Scales characterize tornadoes and hurricanes respectively, there is no widely used scale to classify snowstorms. The Northeast Snowfall Impact Scale (NESIS) developed by Paul Kocin and Louis Uccellini of the National Weather Service (Kocin and Uccellini, 2004) characterizes and ranks high-impact Northeast snowstorms. These storms have large areas of 10 inch snowfall accumulations and greater. NESIS has five categories: Extreme, Crippling, Major, Significant, and Notable. The index differs from other meteorological indices in that it uses population information in addition to meteorological measurements. Thus NESIS gives an indication of a storm’s societal impacts. This scale was developed because of the impact Northeast snowstorms can have on the rest of the country in terms of transportation and economic impact.

NESIS scores are a function of the area affected by the snowstorm, the amount of snow, and the number of people living in the path of the storm. The diagram below illustrates how NESIS values are calculated within a geographical information system (GIS). The aerial distribution of snowfall and population information are combined in an equation that calculates a NESIS score which varies from around one for smaller storms to over ten for extreme storms. The raw score is then converted into one of the five NESIS categories. The largest NESIS values result from storms producing heavy snowfall over large areas that include major metropolitan centers. For details on how NESIS scores are calculated …