Blanket visualizes daily high and low temperatures

Reddit user quantum-kate used daily high and low temperatures in Denver in 1992 as the basis of this blanket. I feel like I should learn to knit crochet.

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Increasing ocean temperatures, decreasing ice

For National Geographic, Kennedy Elliot made a series of heatmaps that show the relative shifts in the ocean:

The oceans don’t just soak up excess heat from the atmosphere; they also absorb excess carbon dioxide, which is changing the chemistry of seawater, making it more acidic. “Ocean acidification is one simple and inescapable consequence of rising atmospheric CO2 that is both predictable and impossible to attribute to any other cause,” says oceanographer John Dore of Montana State University.

Great.

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A long distance relationship between a temperature difference

Everyone’s story is a little different. Alyssa Fowers tracked her long-distance relationship in the context of the temperature between two locations and the travel to and from.

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Hotter days where you were born

It’s getting hotter around the world. The New York Times zooms in on your hometown to show the average number of “very hot days” (at least 90 degrees) since you were born and then the projected count over the next decades. Then you zoom out to see how that relates to the rest of the world.

I’ve always found it interesting that visualization and analysis are typically “overview first, then details on demand”, whereas storytelling more often goes the opposite direction. Focus on an individual data point first and then zoom out after.

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3-D tube chart of global CO2 concentration and temperature

Because you can never have enough time series charts that show increases of CO2 and temperature over decades. By Kevin Pluck:

Differing from the variations we’ve seen before, time is on the circle, and the metrics are on the vertical. Then it rotates for dramatic effect.

See also the the two-dimensional Cartesian version from Bloomberg and the polar coordinate version by Ed Hawkins. There are also plenty more temperature charts. I think after this, we’re set for a while.

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Temperature simulation near the Earth’s core

Researchers are building models to simulate the Earth’s core. From CNRS News:

Take a journey to the center of the Earth—as far as its outer core, at least—and you’ll find a swirling mass of metal, mainly iron, kept in liquid form by the region’s intense heat. Temperature and pressure variations across this layer cause the melted metal to rise in hotter zones and to sink in cooler ones—convection movements that generate electric currents through the metal, and in turn, magnetic fields. Pair these convective motions with the Earth’s rotation on its axis and you have a large-scale dynamo effect: the spinning aligns the convective motions which now cooperate to produce one big magnetic field, ultimately creating the shield that blocks out solar wind.

I’m still not entirely sure what I’m looking at, but I like it.

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Oceans absorbing heat

oceans-absorbing-heat

It keeps getting hotter on this planet, and the oceans are absorbing most of the heat. Tim Wallace for the New York Times shows several decades of changes.

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xkcd: Earth temperature timeline

xkcd-temperature

In classic xkcd-fashion, Randall Munroe timelines the Earth’s temperature, dating back to 20,000 BCE up to present. Slow changes, slow changes, history, slow changes, still slow changes, and then, oh shoot.

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Spiraling global temperature chart

Global temperature is on the rise, as most of us know. Ed Hawkins charted it in this spiral edition of temperature over time.

See also the Quartz chart that uses a standard coordinate system but stacks lines on top of one another.

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How much warmer your city was in 2015

how much warmer

It was hotter in 2015 than any other year ever. K. K. Rebecca Lai for the New York Times shows just how much hotter it was in your city. Simply type in your city name or click on the arrows to browse to see a time series for the year.

The background bars in lighter gray show all-time highs and lows, the darker gray bars show normal range, and the red bars show the lows and and highs for 2015. So when you look at a time series for a single city, you're essentially looking at three maximum and minimum value pairs for each slice of time.

Precipitation levels are shown on the bottom, and to top it off, there's a spinny globe in the top right to orient you geographically. It packs a lot of information into one space, but it works. And speedy.

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