Will SC get rain or hot weather on Halloween? Here’s the NWS and Farmers Almanac forecast
Planning to trick-or-treat with the kids in South Carolina?
You may want to bring a bottle of water with you.
Halloween will be here on Thursday, meaning it’s time to put those finishing touches on your costume and make sure you have enough candy to last the evening for all the visiting ghosts and ghouls. But what about the weather in South Carolina on Halloween? Have you thought about preparing for adverse weather while walking the neighborhood streets over the spooky holiday?
While devastating weather is out of the question, Halloween weather this year could be annoyingly warm for those South Carolinians who prefer the more traditional, cool temperatures that come with the holiday.
Here’s what to know.
NWS Halloween predictions
According to the National Weather Service on Monday, South Carolina can expect temperatures to reach the low 80s on Thursday. Lows on Halloween night will barely drop below 60 degrees.
Pierce Larkin, meteorologist with the NWS in West Columbia, said that such temperatures are above average for the state on Halloween.
“Our normal high temperature is 71 or 72 degrees,” Larkin said. “The lows are also above average … normal is in the low 40s.”
On the bright side, there’s no chance for rain on Halloween in the state.
“Yeah, this time of year is typically our driest, but it’s been nearly historically dry this month,” Larkin said.
Farmers Almanac predictions
The extended forecast from the Farmers’ Almanac predicts clearing, drier skies for trick or treaters this week through Halloween.
Farmers’ Almanac adds that weather across the state will likely turn colder through the weekend and through Election Day on Nov. 5.
Founded in 1818, the Farmers’ Almanac uses a secret formula that includes components such as “sunspot activity, tidal action, the position of the planet,” to predict long-range weather forecasts. The forecasts are typically made two years in advance. Fans of the Farmers’ Almanac have, over the years, calculated that the predictions are accurate 80-85% of the time.
