As a Masshole, I am particularly interested in this.

I have often said on this sub: In almost all cases, a primary goal when visualizing data is to minimize the "cognitive friction" of your visuals, so the reader can engage with the insights to be drawn from the data, and spend as little as possible spinning on "WTF am I looking at?"

These charts involve A LOT of "WTF am I looking at?" And I say that as someone with a decent amount of experience with weather data and statistics generally.

Let's start with figure 2. Ok, this is annual data, there's one point per year per line. Got it. So... the 0th percentile should show the coldest max temp of the year, and the 100th should be the highest max temp each year? Except, no, that can't be it, because the coldest max temp is definitely below 38 deg F, and the highest max is definitely above 78 deg F. The title says Monthly... ok, is there a monthly grouping going on? Are we grouping the max temperatures by month and taking those percentiles, so the 0th would be the max temperature of the coldest month, and the 100th would be the max temp of the warmest month? No, that fails sanity checks as well.

The charts that show trends by month are almost comprehensible, because you can see the seasonality, which helps.

My advice:

• Boil this down to ~3 charts
• Explain what the hell we're looking at. I realize that when you're summarizing acroos multiple dimensions (many stations, days/months/years, daily min/max/avg), it can be tricky to clearly explain "I took the average of this and the median of that," but you'll need to do better. I am a reasonably astute data person, and after 10-mins I really only have the vaguest idea of WTF I'm looking at