The relative simplicity of Parker's approach is that you are fundamentally comparing data from one location: the Ac - Aw and the Bc -
Bw signals.
-- As this correlation weakens, I think the first - order effect would be the reduction of the Ac - Aw and Bc -
Bw signals, because of misclassification of calm and windy days.
If the NSTIs are not trendless, this should show up in the Bc -
Bw signal but not the Ac - Aw signal, so their trends will differ by that amount, instead of matching as they do in Eqn.
I would expect that it would increase the Ac - Aw, by reducing the temperature on windy days (Aw); and reduce the magnitude of the Bc -
Bw signal on windy nights (Bw)(because Bc is generally less than Bw, due to the near - surface temperature inversion).
Using my terminology from # 15, this shows up in the Bc -
Bw signal, but not the daytime Ac - Aw signal: there is no NSTI in the daytime.
Not exact matches
I definitely recommend this to
bw who may be having a hard time picking up
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