Global warming color stripes, as decorative conversation starter

Ed Hawkins, who you might recognize from charts such as spiraling global temperature and the aforementioned temperature grid, encourages you to show your stripes. Select your region, and see how average temperature increased. I saw this last year, but I just realized that people are using this chart to print, knit, and decorate.

Emmalie Dropkin made a blanket:

Pueblo Vida Brewing and the University of Arizona Climate Systems Center used a variation of the stripes to decorate beer cans:

Gwyneth Matthews made earrings:

Hawkins also has a Zazzle store of his own, and of course there’s a face mask now:

Amazing what a few stripes can do. Check out the temperatures for your own region.

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Climate change displayed, with shower tiles

Based on a chart by Ed Hawkins, the shower wall of Gretchen Goldman and Tom Di Liberto transformed into a canvas to show global warming.

Each row represents a country, and each cell — I mean tile — represents the temperature difference compared to the overall average for the time period.

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Visual guide for the fires in Australia

For The Guardian, Niko Kommenda and Josh Holder provide a visual guide to the bushfires in Australia:

Satellite data from Nasa showed a stark increase in the number of fire detections in November and December compared with previous years. Satellites detect fire “hotspots” by measuring the infrared radiation emitted by the blazes.

In previous years, between 2,000 and 3,000 such hotspots were recorded each December in the south-east, while in 2019 the number reached 227,000.

There’s an animated time series chart that changes the range of the y-axis, which I think is a good way to demonstrate the scale of the current fires.

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Arctic ice melting

One way to gauge the amount of ice in the Arctic is to look at the average age of the ice. From the NASA Scientific Visualization Studio, the map above shows the estimated age of ice on a monthly basis, going back to 1984:

One significant change in the Arctic region in recent years has been the rapid decline in perennial sea ice. Perennial sea ice, also known as multi-year ice, is the portion of the sea ice that survives the summer melt season. Perennial ice may have a life-span of nine years or more and represents the thickest component of the sea ice; perennial ice can grow up to four meters thick. By contrast, first year ice that grows during a single winter is generally at most two meters thick.

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Using old ship logs as a window into the weather in the 1800s

For Reuters, Feilding Cage describes a weather time machine project by NOAA that uses old shipping logs to build climate models for the 19th century:

In the 19th and early 20th centuries, millions of weather observations were carefully made in the logbooks of ships sailing through largely uncharted waters. Written in pen and ink, the logs recorded barometric pressure, air temperature, ice conditions and other variables. Today, volunteers from a project called Old Weather are transcribing these observations, which are fed into a huge dataset at the National Oceanic and Atmospheric Administration. This “weather time machine,” as NOAA puts it, can estimate what the weather was for every day back to 1836, improving our understanding of extreme weather events and the impacts of climate change.

Consider my mind blown.

I wonder what researchers will extract from our current data streams a century from now.

Nevermind. I don’t want to know.

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Using old ship logs as a window into the weather in the 1800s

For Reuters, Feilding Cage describes a weather time machine project by NOAA that uses old shipping logs to build climate models for the 19th century:

In the 19th and early 20th centuries, millions of weather observations were carefully made in the logbooks of ships sailing through largely uncharted waters. Written in pen and ink, the logs recorded barometric pressure, air temperature, ice conditions and other variables. Today, volunteers from a project called Old Weather are transcribing these observations, which are fed into a huge dataset at the National Oceanic and Atmospheric Administration. This “weather time machine,” as NOAA puts it, can estimate what the weather was for every day back to 1836, improving our understanding of extreme weather events and the impacts of climate change.

Consider my mind blown.

I wonder what researchers will extract from our current data streams a century from now.

Nevermind. I don’t want to know.

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Making the most detailed map of auto emissions in America

Using estimates from the Database of Road Transportation Emissions, Nadja Popovich and Denise Lu for The New York Times mapped auto emissions at high granularity. Popovich described their process on Storybench:

I want to make graphics that really resonate with people. If that is your goal as a visual journalist, something to think through is just how you can tie data back to a more human experience. To kind of go past the dataset as a dataset and reveal the humanity of it. I think one way that you can do that is by zooming into it in this way. You suddenly don’t just see, “Oh, this line of emissions has gone up.” We set out for a more personal view that says, “You know, you can actually see the roads that you might be driving on every day. That’s where the emissions are coming from.” It ties it back to a much more human experience and makes the data less abstract. Thinking a lot more through how to tie (the data) back to human-lived experiences is something that is really important and really we found resonates with readership.

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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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Retrospection and Direction: A Q&A with Peter Walter

0000-0002-8715-28960000-0001-7318-5892 “In our panel it is the stated and adhered to policy that we will not consider where a paper is published. Rather, in our evaluations we assess its real impact in a field. Change

Computer uses wind to mine cryptocurrency and then fund climate research

HARVEST is an art piece by Julian Oliver that consists of a 4G-connected waterproof computer connected to a wind turbine. While it is powered by the wind, the computer mines for for cryptocurrency, and earnings are then cashed out as donations to climate change research organizations. Yeah.

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