Take advantage of Tuesday sun in Saluda

(SALUDA, SC) Sun alert! Get out and take advantage of the sun today with one of these unique ideas, or use them as inspiration for your own planning with our four-day forecast, based on NWS data.

Have a picnic: With COVID-19 restrictions lingering around the country, this beloved pastime has taken on new relevance. Meeting a friend somewhere pretty with a basket of snacks and a blanket can be a spontaneous way to enjoy a sunny afternoon in a safer environment than indoors. Risk levels should always be taken into account along with advice from health authorities on gathering sizes.

Try a new hobby: Let’s face it — starting a new hobby can be frustrating at times, even hard, and that can be a disincentive to getting out of our comfort zones. There aren’t many better ways to bust through that barrier than knowing that at least you’ll be warm and comfortable while you take a shot at rollerblading, bouldering, or whatever your next pursuit may be.

Take a walk and try a food truck: Anyone who lives in a city has had the feeling of wondering why they don’t know the various neighborhoods better. A great way to get out and sample what your local community has to offer while enjoying the fresh air is to take a walk and grab a bite.

Along with a sunny Tuesday, here’s the rest of the four-day forecast for Saluda:

• Tuesday, June 1

  Sunny in the day; while partly cloudy during night

  • High 84 °F, low 61 °F
  • Breezy: 2 mph

• Wednesday, June 2

  Mostly cloudy then slight chance showers and thunderstorms in the day; while chance showers and thunderstorms then slight chance showers and thunderstorms during night

  • High 86 °F, low 64 °F
  • Breezy: 6 mph

• Thursday, June 3

  Showers And Thunderstorms Likely

  • High 87 °F, low 63 °F
  • Light wind

• Friday, June 4

  Showers and thunderstorms likely in the day; while showers and thunderstorms likely then chance showers and thunderstorms during night

  • High 82 °F, low 63 °F
  • Light wind

This forecast was created automatically using NWS data.