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It's called an entire month below average. That was 1993, but check out 2003. 10 years later, and almost every day was above average. Notice also that 1993 precipitation was 93 mm (close to the wettest month ever) while 2003 was the driest month ever with just a trace of precipitation.
Here is the coldest place in North America, updated to last month. Notice that between 1970 and 2010, it was warming at a rate of 1C/ decade - that's like 10 degrees C per century!
It's called an entire month below average. That was 1993, but check out 2003. 10 years later, and almost every day was above average. Notice also that 1993 precipitation was 93 mm (close to the wettest month ever) while 2003 was the driest month ever with just a trace of precipitation.
A couple of months here in recent years came close to having every day below average.
Going back a a few years, the coldest February on record and 2nd coldest month on record. Feb 1986 had 1 day, 0.4c above average. The 2nd warmest day of the month was 4.3c below the average high. Meteociel - Climatologie mensuelle de London (UK)
December 22-28 would be ideal for me. The places with my favorite climates are mostly on that range too. I hate how late the midpoint comes in my climate, in the January 19-25 zone. I wish we got more cold and snow in November and December and much less in February and March. The interior northeast is the only part of the lower 48 that peaks this late. Terrible.
I like long winters, so I don't have an issue with a seasonal delay or lead. As long as neither Dec or Feb stick out noticeably as the warmest winter month, I'm cool. I think an ideal pattern would be having January and Feb equal, and Dec only a few tenths of a degree warmer than either. That way December is still cold and the peak of winter isn't too early.
A pattern like Umiat is what I'm talking about. January/February the coldest months but December not really that much warmer.
I would want somewhere like this, with the coldest period being December-early January, and then a warmer February followed by a mammoth warmup into March and April
As for map making, I compared two methods, Kriging and a machine learning approach for mapping precipitation data in two South African regions. As you can see, different methods based on the same data can lead to very different maps (both methods are not perfectly trained in my analysis though).
There's a huge difference in the top one. Are there a lot of stations on the right side and few stations in the middle? Which one is more accurate?
Kriging predicted way too much precipitation in the top picture because one outlier station was much wetter than all others. Without that outlier both have about the same RMSE in a cross validation.
Many stations are near the coast but also quite a few further inland.
Spoiler
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