People who were astounded by the emails released by the hacker (whistleblower) at the University of East Anglia's Climate Research Unit are in for another surprise:  the source code to the models used to predict global warming were included, along side the emails.

They are extremely damaging because it goes right to the heart of the Climate Change argument;  that the Earth's temperatures would rise to disastrous levels if the man made CO2 level kept rising.   This model was the basis of the entire argument, that is because it "proved scientifically" that humanity would have to cut back on CO2 outputs to survive.  It was also the basis of most all the other models and papers supporting the Global Climate Change argument.

From the appearance of the comments in the source code, the entire model is suspect because it used mathematical trickery to ignore reality and get the desired result every time, regardless of any actual measurements.

UNFORTUNATELY THE IDL5.4 p_correlate; FAILS WITH >1 SERIES TO HOLD CONSTANT, SO I HAVE TO REMOVE THEIR INFLUENCE; FROM BOTH INDTS AND DEPTS USING MULTIPLE LINEAR REGRESSION.

and this gem:

Uses “corrected” MXD – but shouldn’t usually
; plot past 1960 because these will be artificially adjusted to look closer to
; the real temperatures.

It looks like the entire enterprise has been "artificially adjusted" to fit an ideology, not real science.

According to Steve McIntyre at Climate Audit (mirror site, the main site is very slow at the moment), this is a representative snippet of the source code that puts a dagger through the heart of the entire Climate Change argument:

People are talking about the emails being smoking guns but I find the remarks in the code and the code more of a smoking gun. The code is so hacked around to give predetermined results that it shows the bias of the coder. In other words make the code ignore inconvenient data to show what I want it to show. The code after a quick scan is quite a mess. Anyone with any pride would be to ashamed of to let it out public viewing. As examples bias take a look at the following remarks from the MANN code files:

function mkp2correlation,indts,depts,remts,t,filter=filter,refperiod=refperiod,$
datathresh=datathresh
;
; THIS WORKS WITH REMTS BEING A 2D ARRAY (nseries,ntime) OF MULTIPLE TIMESERIES
; WHOSE INFLUENCE IS TO BE REMOVED. UNFORTUNATELY THE IDL5.4 p_correlate
; FAILS WITH >1 SERIES TO HOLD CONSTANT, SO I HAVE TO REMOVE THEIR INFLUENCE
; FROM BOTH INDTS AND DEPTS USING MULTIPLE LINEAR REGRESSION AND THEN USE THE
; USUAL correlate FUNCTION ON THE RESIDUALS.
;

pro maps12,yrstart,doinfill=doinfill
;
; Plots 24 yearly maps of calibrated (PCR-infilled or not) MXD reconstructions
; of growing season temperatures. Uses “corrected” MXD – but shouldn’t usually
; plot past 1960 because these will be artificially adjusted to look closer to
; the real temperatures.
;

;
; Plots (1 at a time) yearly maps of calibrated (PCR-infilled or not) MXD
; reconstructions
; of growing season temperatures. Uses “corrected” MXD – but shouldn’t usually
; plot past 1960 because these will be artificially adjusted to look closer to
; the real temperatures.

Before It's News will be covering all the developments to this story, stay tuned!