Interpolation is a normal part of dealing with large data sets, this is no different.
This is partially true, the issue doesn’t lie in the fact that the CRU researchers used interpolation. The issue is the weight of the valadj array with respect to the raw data. valadj simply introduces too large of an influence to the original data to do anything productive with it.
Here is the graph I plotted of the valadj array. When we’re talking about trying to interpret temperature data that grows on the scale of one-tenths of a degree over a period of time, “fudging” a value by 2.5 is going to have a significant impact on the data set.
No proof exists that shows this code was used in publishing results.
Correct! That’s why I am (and always have) taken the following stand: Enough proof exists that the CRU had both the means and intent to intentionally falsify data. This means that all of their research results cannot be trusted until they are verified. Period.