Each monthly update of V4C (corrected) changes past results as well as adding the new monthly temperatures. This is due to their homogenisation algorithm. I had already noticed that V4 gave warmer results than V3 but found that the uncorrected data agree where stations overlap.
This means that the expectation value for the temperature difference between two nearby stations is changing with time. This then affects any “adjustments” made to current and past measured values by assuming these stations always move in temperature synchronously. The end result seems to maintain warming trends. Here is a comparison of V4C and V4U.
Comparison of monthly temperature anomalies for V4C and V4U
There is also a significant difference between V4C and V4U since 2015 in the annual temperature values.
Comparison of annual global temperatures for V4 Corrected and Uncorrected
Nick Stokes uses the unadjusted data for TempLS. I am tempted to do the same or at least calculate both to get an estimate of uncertainties. There is a significant difference between the two in recent months.
“Nick Stokes uses the unadjusted data for TempLS.”
Yes, that is the basis for the numbers that I post. But I actually do both. The monthly results for recent years are tabulated here; click on the TempLS button above the table. It shows the various methods I use and the _adj equivalent. Mesh-based adjusted is on the right. Unfortunately, the program seems to be about two months behind, but before that I don’t see big differences.