[OC] Manhattans wilde Temperaturschwankungen im Jahr 2026
Von DataVizHonduran
[OC] Manhattans wilde Temperaturschwankungen im Jahr 2026
Von DataVizHonduran
23 Kommentare
Radial temperature chart for Central Park, NYC. Each day of the year maps to a position on the clock (Jan = 12, clockwise). Distance from center = temperature in °F.
Data: ERA5 reanalysis via [https://open-meteo.com](https://open-meteo.com) archive API — Central Park (40.78°N, 73.97°W), daily mean temperature 2006–2026
Tools: Python and Matplotlib
What could possibly explain these crazy weather patterns? Aliens? Jewish space lasers?
Would any of the prior 20 years actually look any different? It does appear extreme in some cases, but this really doesn’t provide enough info since it effectively smoothes out the data of the last 20 years.
The April whiplash this year has been ridiculous. Feels like we went from “why is it still cold” to full summer mode in about 9 days.
I mean, when you compare median to just 1 line the 1 line will always look messier than the median.
Why not make the same graph with 2 lines, each for 50 years? because even this data shows that temperatures were extreme in 1982 and 85 years ago. I want to see a trend, not 1 year in a sea of years.
I think there’s an issue with the values on your temps, the box says the red line reaches 90 when the red line only barely touches the 80 line. That or I’m looking at it wrong
When will people stop posting their own shitty fucking charts in this sub? Is there no shame anymore?
That’s well made presentation. Nice
A nearly 10 degree average difference between jan 2nd and jan 10th (estimated dates) is wild.
There’s no good reason to plot this in a circle. The transform needlessly skews the plot.
Why does this slop get upvotes?
A great visual display! The 10-90th percentile will of course make this year look more extreme. Would be nice to see versus the full data set for comparison.
Why are you only showing 10th to 90th percentiles historically?
You’re intentionally trying to make 2026 look more extreme by doing that. The viewer will reasonably think 2026 has more extremes in both directions because you’re showing all data for 2026 compared to truncated data (extremes removed) from history.
I think the visual, but the data is misleading.
Yeah same thing all over east coast/great lakes, remember reading that it’s the jetstream getting weaker/slower and oscillating more with the temperature gradient decreasing globally.
There’s gonna be more wild/unseasonal temperature swings every year.
And that’s before this week which will swing between highs of 93 and 56
This is a great chart type for this application (seasonally adjusting the numbers are no longer necessary).
There’s no need for removing observations, but you could have each individual year on a very thin line of a slightly different colour, or you could also do one of these for selected years, or perhaps years of extreme events get their own lines and everything else is just part of the gray historical zone.
The biggest takeaway from weather statistics is that it has ”long memory” with long (longer than 10 days) auto regressive feedback loops that are still poorly understood (making weather forecasts beyond 10 days unreliable), combined with a very strong reversion to mean tendency.
Now that pollution is back and full kicking in America, I wonder how much impact that is having on a coastal city like this. It was shown during COVID that the lack of cargo ships going around the equator raised global temps a bit due to them not pumping out pollutants and seeding clouds with them.
wait, 2026 isn’t even done yet and Manhattan already said „hold my beer“ to every climate model ever made
The city that never sleeps, because it’s too fucking hot
Yes I live here and I’m fucking sick and tired of it
Meanwhile here in Italy it’s nearly June and it was only 7C (44F) this morning. Still wearing the heaviest fleece I can find. What the hell.
Initially, I thought that red meant for hot and blue meant for cold.
I feel like Chicago had the same this year, some days that were nearly freezing in May, but also some very hot days early in the year. It’s super unpredictable.