this post was submitted on 08 Jun 2024
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Data Is Beautiful

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A place to share and discuss data visualizations. #dataviz


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[–] [email protected] 3 points 5 months ago (1 children)

It took me a while to read that chart, meybe the heat I don't know.

But what I got is roughly 1.5°C increase in the last 80 years, is that correct? Would be nice to see this compared to the previous 80 years.

[–] [email protected] 1 points 5 months ago

Closer to 1C at the moment, but here's a graph if you want to compare temperature changes over the last century.

https://climate.nasa.gov/vital-signs/global-temperature/?intent=121

The trouble with going back further is that there wasn't global coverage of people keeping accurate records of temperatures in times past. So they have to look at things like tree rings and make comparisons with historical records. Obviously it gets a little fuzzy going back more than a century. But here's an xkcd that gives a summary of what we know about historical (and pre-historical) global temperatures.

https://xkcd.com/1732/

[–] [email protected] 0 points 5 months ago (1 children)

Nice graphic. Although probably you'd see more info with just a lineplot, separating north / south + land /ocean. What strikes me is how regular the gap is over the last year, and how it bulges most in July-December, which suggests the ocean (larger and less variable) dominates the numbers, with El Niño overlaid on steady warming trend. To get it back down quickly, we need more effort on short lived gases - mainly methane (tackling aviation-indeed cirrus might also help compensate for reduced ship-sulphate cooling ) .

[–] [email protected] 2 points 5 months ago

There are layers of variability there that can't be captured with a line plot. The data density is too high to even capture the decanal progression in a useful way, forget about monthly and annual variability . So no.

[–] [email protected] -2 points 5 months ago (6 children)
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