The fit of the CSALT model to global temperature data is so close that it makes some sense to do a detailed analysis of the occasional glitches in the data. This could tell us if there are other noise components that could fill the gap.
Initially what I want to do is a subjective interpretation — if one can isolate the parts of the model that don’t work so well, this may open up areas for further investigation. For example, was the large warming spike at the end of WWII (starting in late 1943) real or was it due to calibration issues [1]?