Thursday rain in Sparta meets its match: Ideas to make the most of it

(SPARTA, GA) A rainy grey blanket is set to settle over Sparta Thursday, but that doesn’t have to put a damper on getting things done. Make the most of it with one of these ideas — or use them as inspiration to come up with your own plan to beat the grey.

Make a sun bucket-list: Whether it’s researching nearby hikes, scouring forums for information about great swimming holes, or making a list of places to try a hobby like stand-up paddle-boarding, setting aside a rainy day for planning can help you make the most of the next sunbreak.

Bookkeeping: A rainy day can be a perfect opportunity for getting household tasks out of the way - including tracking your finances. In just an hour or two you could knock out a money to-do like tracking your monthly spending so far or making sure you have the best plan for retirement savings or student loan repayment.

Catch a movie: Not feeling the need to go all-out? A movie or other indoor entertainment can be a great down-day activity, letting you relax and be ready to seize the day when the clouds finally decide to part.

Along with a rainy Thursday, here’s the rest of the four-day forecast for Sparta:

• Thursday, July 22

  Chance of showers and thunderstorms during the day; while chance of showers and thunderstorms then partly cloudy overnight

  • High 90 °F, low 71 °F
  • Breezy: 0 mph

• Friday, July 23

  Chance of showers and thunderstorms during the day; while chance of showers and thunderstorms then partly cloudy overnight

  • High 93 °F, low 71 °F
  • Breezy: 0 to 5 mph

• Saturday, July 24

  Slight chance of showers and thunderstorms during the day; while slight chance of showers and thunderstorms then partly cloudy overnight

  • High 92 °F, low 70 °F
  • Light wind

• Sunday, July 25

  Slight chance of showers and thunderstorms during the day; while slight chance of showers and thunderstorms then mostly clear overnight

  • High 92 °F, low 70 °F
  • Light wind

This forecast was created automatically using NWS data.