I also
regressed global temperature on AMO and a time trend.
I regressed global temperature on AMO, and of course I get a strong correlation (nobody disputes they're correlated, but causation can go either way).
So, first let
's regress global temperature anomalies and US temperature anomalies.
For instance, if
we regress global temperature as a function of time, and of the logarithm of population, then we find that those two predictors are strongly correlated.
Not exact matches
The review by O'Gorman et al (3) reports that a 1C increase in
global mean temperature will result in a 2 % — 7 % increase in the precipitation rate; the lower values are results of GCM output, and the upper values are results from
regressing estimated annual rainfalls on annual mean temperatures.
BPL: When I
regress NASA GISS
global dT against ln CO2 and sunspot number for 1880 - 2007 (N = 128), Carbon dioxide accounts for 75 % of the variance and sunspot number accounts for 2.5 %.
Now, let's
regress the residual from the
global - US fit — i.e., the NON-
global warming component of the US recordm, on the national PDSI values.
Because temperatures in different regions do not vary in sync, when taking a
global average they will
regress towards the mean.
As the headline over at the
Global Warming Policy Foundation's website observes, we are
regressing Back To The Dark Ages.
I have found that a more complete
global temperature model (from
regressing 14 variables, including SOI and PDO) requires in order of importance, CO2, AMO, El Nino (a proxy for PDO and SOI), sunspot counts (a proxy for total solar insolation and cosmic rays), and the Arctic Oscillation -LRB-?
Each model's climate feedback parameter is derived by
regressing the model's radiative imbalance response against its
global temperature response over the 150 years following an abrupt quadrupling of CO2 concentration.
They base this claim on Earthshine data (a measurement of the glow of the dark side of the moon that they use to deduce the earth's reflectance) and on an albedo proxy derived from ISCCP parameters after they are
regressed with two years of overlapping, but not
global, earthshine observations.