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Climatology

Climate is the historical average of weather for a given period. Simply put, the maximum temperature for a certain day is weather, but predicting what the likely maximum temperature for that same day will be based on historical data is an aspect of climate. An analogy that can further clarify weather and climate is as follows: weather : single basketball game :: climate : entire basketball season

The connection we can make here is that you can use the average performance of the basketball team over the entire season to predict how the team will perform during their next game. For instance, if the team averages 75 points per game over 20 games, then predicting that the team will score around 75 points in their next game is a reasonable estimate. However, one star player may be injured, or the caliber of the opposing team changes the outlook of the game, and that is precisely what happens with weather forecasting as well. Using climate as a baseline estimate of what weather conditions to expect is a good start, but so many other factors control what weather conditions will be observed. 

Typically, climatological averages are based on a 30-year average of weather data. Currently, the 30-year period from 1981-2010 is used for most climatological records. 

Central North Carolina Climatological Temperatures by Day:

 

METHODOLOGY: The two adjacent tables below show the dates of the year which feature a change in the climatological, or mean/average, maximum and minimum temperatures in central North Carolina. The mean temperature columns are the computed average of the mean temperatures at the KRDU, KGSO, and KFAY stations in Raleigh, Greensboro, and Fayetteville, respectively. Temperature data from the 1981-2010 climate period was used in these computations, and these tables can be used as a quick guide to reference when mean maximum and minimum temperatures change. The mean temperature columns were averaged in order to serve as a better spatial representation of central North Carolina instead of a single city or county.

Day Temp Day Temp Day Temp Day Temp
January 1 50 April 8 71 August 15 88 November 5 67
January 12 51 April 12 72 August 24 87 November 9 66
January 23 52 April 15 73 August 30 86 November 12 65
January 30 53 April 19 74 September 3 85 November 15 64
February 5 54 April 23 75 September 8 84 November 17 63
February 10 55 April 28 76 September 11 83 November 20 62
February 15 56 May 2 77 September 14 82 November 23 61
February 19 57 May 6 78 September 18 81 November 25 60
February 23 58 May 11 79 September 21 80 November 28 59
February 27 59 May 15 80 September 24 79 November 30 58
March 3 60 May 19 81 September 27 78 December 3 57
March 6 61 May 23 82 September 30 77 December 5 56
March 10 62 May 27 83 October 3 76 December 8 55
March 13 63 June 1 84 October 6 75 December 11 54
March 16 64 June 5 85 October 9 74 December 14 53
March 20 65 June 9 86 October 13 73 December 18 52
March 23 66 June 13 87 October 17 72 December 23 51
March 26 67 June 18 88 October 21 71 December 30 50
March 29 68 June 24 89 October 25 70 - -
April 1 69 July 2 90 October 29 69 - -
April 5 70 July 31 89 November 2 68 - -



Day Temp Day Temp Day Temp Day Temp
January 1 31 April 23 51 August 10 69 October 18 49
January 25 32 April 27 52 August 21 68 October 21 48
February 5 33 May 1 53 August 28 67 October 24 47
February 13 34 May 4 54 September 2 66 October 27 46
February 20 35 May 8 55 September 6 65 October 31 45
February 25 36 May 11 56 September 10 64 November 3 44
March 1 37 May 14 57 September 13 63 November 7 43
March 6 38 May 18 58 September 16 62 November 11 42
March 10 39 May 21 59 September 18 61 November 14 41
March 13 40 May 24 60 September 21 60 November 18 40
March 17 41 May 27 61 September 23 59 November 22 39
March 20 42 May 30 62 September 26 58 November 26 38
March 24 43 June 2 63 September 28 57 November 29 37
March 28 44 June 5 64 September 30 56 December 3 36
March 31 45 June 8 65 October 3 55 December 6 35
April 4 46 June 12 66 October 5 54 December 11 34
April 8 47 June 16 67 October 8 53 December 15 33
April 12 48 June 20 68 October 10 52 December 20 32
April 15 49 June 25 69 October 13 51 December 28 31
April 20 50 July 1 70 October 15 50 - -



Station January February March April May June July August September October November December Annual
KRDU 3.40 3.49 3.83 3.26 3.79 4.05 5.14 4.92 3.95 3.00 2.73 3.24 44.80
KGSO 3.27 3.09 3.72 3.34 3.57 3.75 4.46 4.19 3.86 3.00 2.88 3.13 42.26
KFAY 2.58 2.54 2.77 2.91 3.15 4.09 4.79 5.49 4.80 3.13 2.67 2.77 41.69
Mean: 3.08 3.04 3.44 3.17 3.50 3.96 4.80 4.87 4.20 3.04 2.76 305 42.92



Station January February March April May June July August September October November December Annual
KRDU 28.7 29.7 36.1 45.0 56.1 64.0 68.1 67.6 61.8 50.5 39.6 31.9 48.3
KGSO 27.0 27.9 34.5 43.5 54.6 62.8 67.0 66.3 60.2 48.6 37.6 30.0 46.7
KFAY 33.1 33.7 40.2 49.4 58.3 66.4 69.7 69.6 64.4 54.0 43.7 37.6 51.7
Mean: 29.6 30.4 36.9 46.0 56.3 64.4 68.3 67.8 62.1 51.0 40.3 33.2 48.9



Station January February March April May June July August September October November December Annual
KRDU 7.8 8.1 8.6 8.5 7.3 6.7 6.4 6.0 6.4 6.4 6.8 7.2 7.2
KGSO 7.9 8.3 8.8 8.7 7.4 6.7 6.3 6.0 6.4 6.7 7.1 7.3 7.3
KFAY 7.7 8.2 8.6 8.8 7.6 7.0 6.6 6.0 6.8 6.7 6.8 7.0 7.3
Mean: 7.8 8.2 8.7 8.7 7.4 6.8 6.4 6.0 6.5 6.6 6.9 7.1 7.3



Station January February March April May June July August September October November December Annual
KRDU 177.3 (S) 173.0 (S) 173.0 (S) 174.0 (S) 158.4 (SSE) 154.3 (SSE) 157.3 (SSE) 137.0 (SE) 124.1 (SE) 136.1 (SE) 155.9 (SSE) 167.8 (S) 157.4 (SSE)
KGSO 184.4 (S) 179.4 (S) 181.4 (S) 184.9 (S) 171.4 (S) 168.1 (S) 171.0 (S) 152.0 (SSE) 135.8 (SE) 149.5 (SSE) 168.5 (SSE) 177.2 (S) 168.6 (S)
KFAY 170.9 (S) 166.8 (S) 165.0 (SSE) 163.3 (SSE) 151.7 (SSE) 154.9 (SSE) 150.6 (SSE) 125.4 (SE) 110.3 (ESE) 131.0 (SE) 148.3 (SE) 153.6 (SSE) 149.3 (SE)
Mean: 177.5 (S) 173.1 (S) 173.1 (S) 174.1 (S) 160.5 (SSE) 159.1 (SSE) 159.6 (SSE) 138.1 (SE) 123.4 (SE) 138.9 (SE) 157.6 (SSE) 166.2 (SSE) 158.4 (SSE)



Still to come:
Expansion of these tables to include more ASOS stations across NC, and more variables to be calculated.

https://www.andrewswxcenter.com/images/KRDU_maxtemps_plot1
https://www.andrewswxcenter.com/images/KRDU_mintemps_plot1
https://www.andrewswxcenter.com/images/KRDU_avgtemps_plot1
https://www.andrewswxcenter.com/images/KRDU_precip_plot1
https://www.andrewswxcenter.com/images/KRDU_dew_plot1
https://www.andrewswxcenter.com/images/KRDU_rh_plot1
https://www.andrewswxcenter.com/images/KRDU_pressure_plot1
https://www.andrewswxcenter.com/images/KRDU_ws_plot1
https://www.andrewswxcenter.com/images/KRDU_wd_plot1
https://www.andrewswxcenter.com/images/KRDU_hdd_plot1
https://www.andrewswxcenter.com/images/KRDU_cdd_plot1