This post describes my consolidated global temperature anomaly CSV file that users can easily download to Excel or R to do their own trend analysis.
Do It Yourself Global Temperature Anomaly Trend Analysis
As I wrote in my July 10, 2009 post,
“There are many blogs and web sites (small sample: 1, 2, 3, 4, 5, 6) with multiple opinions on global climate trends. Some sites are data oriented and others are opinion oriented. What is a [data analyst] charter to think?
My advice, take a look at the data for yourself. As an Excel or R charter, why not analyze it yourself to get a better appreciation for what is going on.
To help you get started, I’ve developed a consolidated monthly CSV file that presents the 5 major global land and ocean temperature anomaly data series: GISS, NOAA, HADCrut3, RSS and UAH.
Here’s the link to my consolidated temperature anomaly CSV file.
I update the consolidated file regularly by downloading the latest agency source files so that the consolidated file includes all source agency data revisions. This way you can get the most up-to-date temperature anomaly data without having to reformat/ manipulate the 5 individual files.
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Hi
Thanks for this file – I find it very useful.
Do you recalculate the anomalies to get a common baseline?
The landbased reconstructions all use a different period:
GISTEMP uses 1951-1980, NOAA 1901-2000 and HADCRUT 1961-1990.
Comparing the dataset is a bit tricky if they do not have a common baseline as far as I understand.
Best regards
Søren R. Jensen
Soren
Thanks for the feedback.
My data set is simply a compilation of the original anomaly data from NASA, Hadley,etc. I do not adjust the baseline periods. I am combining the 5 series into one file to save users the time necessary to do it themselves.
Each series has its own baseline. You can compare trends between series without addressing baseline offsets.
Wood for trees has a good explanation of how to address series baseline offsets here.
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