Chapelhill North Carolina Weather

North Carolina's Garrison Brooks (15) struggles for a rebound during a defense against Syracuse's Tyus Battle (3) during the first half of an NCAA college basketball game at Chapel Hill. North Carolina and Syracuse players warm up before the start of the second half of the ACC men's basketball championship game at the Alamodome in Charlotte, Saturday, January 20, 2016.

Leaky Black (1) chases the ball against Syracuse's Tyus Battle (3) during the first half of the ACC championship game at the Alamodome in Charlotte, Saturday, January 20, 2016.

Buddy Boeheim scored 18 points and Georgetown's small lineup flourished on Saturday, but it wasn't enough to keep pace with the big UNC lineup on Tuesday.

North Carolina went into the game Tuesday night with a second-place finish in offensive rebounds, but the glass was empty on the night. Syracuse had the longest rebounds, but the Orange and Tar Heels played a hot potato for much of the game as UNC pulled off an 81-75 victory to improve to 8-4 (3-2 ACC). UNC built a 49-33 lead over Pittsburgh, which had a 47-39 lead in the first half and a 52-44 lead at halftime. Rutgers lost 10 of 79 (69.3%) and Rutgers, 69-3, in its final game before the All-Atlantic Coast Conference tournament.

Clouds cover the area that fills up during the afternoon and evening hours of Tuesday, February 4, 2017, in Chapel Hill. Clouds over the filled - in the North Carolina area on Wednesday, January 5, 2016, and cloud cover over most of the state on Thursday, February 6, 2016. Clouds over a crowded area over North Carolina on Tuesday night and early Wednesday morning.

Different types of precipitation were observed during the day, with no traces of it visible. The most common form of precipitation this year was rain alone, with the breakdown based on the amount of rain and snow that fell on the same day.

Winds were strong enough to cause gusts of up to 60 mph in some areas, but were less frequent and intense in other parts of the state.

The hottest day of the year was July 21, with an average high of 88F and a low of 70F. The warmest time of the year is generally the end of July, when highs are regularly reached and temperatures rarely drop below freezing, but the feel-good level is muggy, oppressive and miserable. In fact, the raided period this year lasted 4.4 months from July 1 to August 31, while the hottest period was in the last three months of July.

If you are looking for a very warm time to visit Chapel Hill, the hottest months are July, August and then June. If you're looking for dry weather, November, January and October are the best times of year for visiting Chapel Hills from mid-June to early September.

The coldest day of the year is January 29, with an average low of 32 degrees Celsius and a maximum of 51 degrees Celsius. If one day is wet, the rainy season lasts 3-6 months from mid-June to early September and the drier season from early October to late November.

The windiest day of the year is 27 February with an average of 32 degrees Celsius and a maximum of 51 degrees Celsius. The wind is weak, and the quietest day this year was August 8, with an average maximum of 35 degrees Fahrenheit and an annual wind speed of 35 km / h.

The sky is bright and clear, with a maximum temperature of 52 degrees Fahrenheit and an annual wind speed of 35 km / h. H. H., London. The sky will be bright on this day with an average of 32 degrees Celsius and a maximum of 51 degrees Celsius.

Due to the daily increase in temperatures, the first spring blooms will appear in Chapel Hill in late spring and early summer, between March and April, with a maximum temperature of 52 degrees Fahrenheit and an annual wind speed of 35 km / h. / h Based on this score, there is a 50 percent chance of visiting Chapel Hill in warm weather. The percentage of general outdoor activities that visit Chapel Hill is based on tourism results and is 10 percent more likely to be visited in warmer weather than based on the score.

Note that there is no date on the start time code homepage, but you can estimate how the forecast could turn out at a given time by using the time before, during or at any time you want.

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