{"id":4209,"date":"2016-05-23T16:30:03","date_gmt":"2016-05-23T23:30:03","guid":{"rendered":"http:\/\/theoryofeverything.org\/theToE\/?p=4209"},"modified":"2016-05-23T21:59:12","modified_gmt":"2016-05-24T04:59:12","slug":"visualizing-climate-data","status":"publish","type":"post","link":"https:\/\/theoryofeverything.org\/theToE\/2016\/05\/23\/visualizing-climate-data\/","title":{"rendered":"Visualizing Climate Data"},"content":{"rendered":"

I saw this post on the Wolfram blog<\/a>. <\/p>\n

I’ve enhanced the code to show some error bar indicators and visualized by year w\/o the obfuscation of accumulation over time. It also uses parallel CPUs and binary packed arrays to speed up the computation. I also reduced the scale from +2.5C to +1C (since there was no data above it). I wonder if that anomalously larger scale was selected to “suggest” a placeholder for future warming (not appropriate as science – but typical for “influencing” public opinion).<\/p>\n

I think my presentation more accurately shows that the recent data from the ’00s (with several El Nino’s), mid 40-60’s ocean temp bias adjustment increases, and more recent changes in (space) technology for collecting data may be a (the?) significant root cause for increases in temperature. <\/p>\n

That may not be a politically correct thing to suggest – but I will do more work to substantiate based on the statistical analysis of the various data sets….<\/p>\n

If you don’t have the Wolfram CDF Player on a non-Chrome browser for interactive UI, you can watch the YouTube video here<\/a> or see below.<\/p>\n