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“#StellaBlizzard” Hits Northeastern U.S.


The worst snow storm of the 2016-2017 winter season came late. Dubbed “#StellaBlizzard” on Twitter and elsewhere, the massive storm put at least 18 million Americans under a “blizzard warning” and another 52 million were placed under a “winter storm warning” Monday night until Tuesday. The storm forced the closings of schools from Washington, DC to Maine. Nearly 8,000 flights were cancelled, the U.S. federal government delayed its opening by three hours and the visit of German Chancellor Angela Merkel was postponed by a day.

While some areas have had the worst that they are going to get, much of New England is expected to get a “wall of snow” on Tuesday. New York City is expected to get between 18 and 24 inches of snow and experience wind gusts from 45 to 55 miles per hour.

The annual Cherry Blossom Festival may be impacted.

#StellaBlizzard cherry blossoms

Mark Wilson/Getty Images

In Washington, DC people are worried that the late season storm may impact the Cherry Blossom festival that had been slated to start early this year because of the unusually warm temperatures the area had seen all winter. The blossoms themselves can die off if the temperatures in the area go below 24 degrees Fahrenheit. Even if the temperature drops to 27 degrees Fahrenheit, it could do some serious damage to the blossoms.

People throughout the impacted areas are being asked to stay off the roads as much as possible to allow passage of plow trucks and other emergency vehicles. The storm is expected to continue to dump snow on some parts of the northeast through Wednesday morning. For many areas, the snow has turned to sleet or freezing rain which can produce some dangerous driving conditions.

People are taking to social media to talk about the storm.

The storm is getting a lot of attention on social media as #StellaBlizzard, #snowday, #noreaster2017, Northeast and Mother Nature are all trending on Twitter.

Some people have had some fun with the name of the storm and the apparent disparity between what forecasters predicted for certain areas and how much snow actually fell:

 

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