For Law Dome d18O over 1931 - 1990 for the central
gridcell at lag zero i.e. without any Gergian data mining or data torture, using the HadCRUT3v version on archive, I obtained a detrended correlation of 0.529, with a t - statistic of 4.71 3.65 (for 37 degrees of freedom after allowing for autocorrelation using the prescribed technique)[updated Sep 10, 2016].
From there out it is an «iterative» process where the state of
the gridcells at one instant is used to predict the state at the next instant.
Not exact matches
If I had my way, people would look
at the graphs of the Tiljander data series (here, files downloadable from BitBucket.org) and
at the CRUTEM3v
gridcell temperature anomaly synthesis for 1850 - 1995 (here).
As a result, the phenomena I describe above, with the rapid changes in circulation regimes, are not represented in the climate models
at all except as
gridcell sized averages...
But how do «trends» in the AO or NAO relate climatologically to temperature trends
at specific
gridcell locations?
Let's step back a little on this: if Parker is going to use NCEP
gridcell calm - windy as a «proxy» for UHI, then I'd like to see
at some examples where it is agreed that there is known UHI and the NCEP
gridcell calm - windy distinction picks off the UHI.
Koven then calculated the speed
at which a
gridcell's climate will shift toward its matching
gridcell over the next 80 years.
Jim D, you just looked
at three GISS
gridcells and 12 BEST
gridcells for the same area.
The charts
at issue are introduced by «If we calculate trends for all 81
gridcells that have
at least one MMTS and one CRS station available, and weight each
gridcell by its relative size, we get the following raw mean temperature trends:» and show MMTS stations back in 1965.
If I had my way, people would look
at the graphs of the Tiljander data series (here, files downloadable from BitBucket.org) and
at the CRUTEM3v
gridcell temperature anomaly synthesis for 1850 - 1995 (here).