U.S. Daily Temperature Anomalies 1964-2013
Absolutely beautiful visualization.<p>A couple cautions about drawing conclusions from this data though:<p>1. A trend in the outliers of a distribution does not imply the same trend in the mean values of the distribution. Although I'm sure there's an upward trend in the mean values, it's not good science to encourage people to jump to that second conclusion. (Not without the supporting data at least.)<p>2. What about sampling bias? Intuitively, it seems like the reporting weather stations would not be uniformly distributed geographically, but would rather show a higher concentration near urban areas, which store and release extra heat. How large is this effect, and how could we correct for it?<p>For anyone interested, you can also get at the raw data without signing up for engima.io:<p><a href="http://www.ncdc.noaa.gov/oa/climate/ghcn-daily/" rel="nofollow">http://www.ncdc.noaa.gov/oa/climate/ghcn-daily/</a>