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Post by Benfxmth on Nov 2, 2024 18:09:01 GMT -5
Thought this might be interesting. I downloaded daily data for 1991-2020 from xmACIS2 and split into various seasons into a histogram with a simple Python script that I modified slightly that uses Matplotlib as I was interested in knowing the daily temp distributions by season. If you have any requests/ideas for your location or anywhere else, feel free to respond to thread and I'll plot them for you. Also if you don't want to use Python, it shouldn't be difficult to do it with Excel/Google Spreadsheets either Here's an approximate breakdown of seasons here (New Bern) SummerDaily highs. Summer temps are fairly stable with a fairly symmetric distribution, with the occasional rain-cooled high in the 70s/lower 80s °F (mid-20s °C) Daily lows. More asymmetric, as 70-75°F lows are common as dirt but frequency falls off a cliff above 76-77°F, like a lot of low-mid latitude humid climates, so that 80°F lows are even rarer than 100°F daytime highs. Also shows that average lows are reduced slightly by the occasional cold lows when dewpoints are reduced behind cold fronts. FallDaily highs. Pretty wide range as that's the season of transition, early fall still sees frequent 80s daily temps, but late fall transitions to the typical winter variability. Daily lows. As above, but nights are prone to radiational cooling so that 40s/50s lows are quite common in mid-late fall (October on). WinterGets a bit of everything, but daily lows tend to err a bit towards the cold side as the warmest lows that skew things up tend to be short-lived. SpringAs with winter, but warmer temps and longer days. Widest range of daily highs possible in one season.
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Post by tommyFL on Nov 2, 2024 21:22:13 GMT -5
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Post by Benfxmth on Nov 3, 2024 8:12:36 GMT -5
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