Enigma Maps U.S. Daily Temperature Anomalies 1964-2013
Earlier this spring, the Obama Administration launched its Climate Data Initiative, a call to action to leverage the Federal Government’s extensive, freely-available climate-relevant data resources to stimulate innovation in support of national climate-change preparedness. Since then, we’ve been working on adding some of these datasets to the Enigma platform, and experimenting with our own analyses and interfaces to the data.
Today, we’re releasing one of these projects, our U.S. Daily Temperature Anomalies map, to show how this data can be visualized, and to make it accessible to laymen and scientists alike. This map shows a timelapse view of 50 years of “temperature anomalies,” that is, temperature measurements from weather stations which were either abnormally warm or abnormally cold for the time of year they were taken. We’ll write a longer post this week explaining the exact steps we used to perform this analysis (edit: here it is), but for now the page itself contains a good explanation of the general process.
In concert with this visualization, we’ve added its underlying data to Enigma – both the original raw data from the National Climatic Data Center and our collection of temperature anomalies which was derived from the raw data. You’ll be required to sign into Enigma to access them, so don’t forget to create a free Enigma account first, if you haven’t done so already.
We’re already getting some great feedback on this map on Twitter and from various websites, feel free to let us know what you think by e-mailing email@example.com!
Five decades of warm and cold weather anomalies – FlowingData
— Bill Gates (@BillGates) April 25, 2014
— Office of Ed Tech (@OfficeofEdTech) April 12, 2014
Enigma used data from 90,000 weather stations around the world to map 50 years of weather anomalies in the US http://t.co/Qi7hOIZHJK
— Nieman Lab (@NiemanLab) April 10, 2014
This map of temperature anomalies in the US over the list 50 years is perhaps the best climate data viz I've seen: http://t.co/U1caMZ27If
— blprnt (@blprnt) April 14, 2014
— Andy Kirk (@visualisingdata) April 14, 2014