Originally posted by Animal

Originally posted by AllexxisF1
Ok once again show me one single scientific peer reviewed study that shows Global Climate Change does not exist.

Just one.

Originally posted by AllexxisF1
What massive fraud?

Where do you people come up with this malarky.

The finding that have been put forth by the IPCC has been peer reviewed by the world's scientific community.

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.

From documents\harris-tree\recon_esper.pro:

; Computes regressions on full, high and low pass Esper et al. (2002) series,
; anomalies against full NH temperatures and other series.
; CALIBRATES IT AGAINST THE LAND-ONLY TEMPERATURES NORTH OF 20 N
;
; Specify period over which to compute the regressions (stop in 1960 to avoid
; the decline
;

; Computes regressions on full, high and low pass MEAN timeseries of MXD
; anomalies against full NH temperatures.
; THIS IS FOR THE AGE-BANDED (ALL BANDS) STUFF OF HARRY’S
;
; Specify period over which to compute the regressions (stop in 1940 to avoid
; the decline
;

recon_mann.pro:
; Computes regressions on full, high and low pass MEAN timeseries of MXD
; anomalies against full NH temperatures.
; THIS IS FOR THE Mann et al. reconstruction
; CALIBRATES IT AGAINST THE LAND-ONLY TEMPERATURES NORTH OF 20 N
; IN FACT, I NOW HAVE AN ANNUAL LAND-ONLY NORTH OF 20N VERSION OF MANN,
; SO I CAN CALIBRATE THIS TOO – WHICH MEANS I’m ONLY ALTERING THE SEASON

briff_sep98_e.pro:
;
; PLOTS ‘ALL’ REGION MXD timeseries from age banded and from hugershoff
; standardised datasets.
; Reads Harry’s regional timeseries and outputs the 1600-1992 portion
; with missing values set appropriately. Uses mxd, and just the
; “all band” timeseries
;****** APPLIES A VERY ARTIFICIAL CORRECTION FOR DECLINE*********

from README_GRIDDING.TXT..

“Use dist to specify the correlation decay distance for the climate
variable being interpolated – necessary information to determine where to add dummy or synthetic data.”

; calculate 1961-1990 synthetic normal from adjusted tmn
print,'Calculating synthetic frs normal'

for iy=nor1,nor2 do begin
tmpfl=strip(string(tmp_prefix,iy))
dtrfl=strip(string(dtr_prefix,iy))

; HUGREG=Hugershoff regions, ABDREG=age-banded regions, HUGGRID=Hugershoff grid
; The calibrated (uncorrected) versions of all these data sets are used.
; However, the same adjustment is then applied to the corrected version of
; the grid Hugershoff data, so that both uncorrected and corrected versions
; are available with the appropriate low frequency variability.

There is some
; ambiguity during the modern period here, however, because the corrected
; version has already been artificially adjusted to reproduce the largest
; scales of observed temperature over recent decades - so a new adjustment
; would be unwelcome.

Therefore, the adjustment term is scaled back towards
; zero when being applied to the corrected data set, so that it is linearly
; interpolated from its 1950 value to zero at 1970 and kept at zero thereafter.

; Combines the directly calibrated MXD data set with the PCR-based
; reconstruction of gridded temperatures. There are various PCR models to
; use, according to period and spatial coverage of MXD data. We always
; use the later model (based on most MXD data), but we have to decide whether
; a grid box that was successfully reconstructed using an earlier subset of
; the MXD should be used throughout (or at all) if later subsets failed to
; successfully reconstruct it. **For now, I'm using them throughout.**
;
; Restore MXD gridded dataset
;
print,'Reading in MXD data'
restore,filename='calibmxd5_abdlow.idlsave'
; g,mxdyear,mxdnyr,fdcalibu,fdcalibc,mxdfd2,timey,fdseas
;
; Use the "corrected" calibrated version
;
fdcalibpcr=fdcalibc
timeyr=mxdyear

;
; Computes EOFs of infilled calibrated MXD gridded dataset.
; Can use corrected or uncorrected MXD data (i.e., corrected for the decline).
; Do not usually rotate, since this loses the common volcanic and global
; warming signal, and results in regional-mean series instead.
; Generally use the correlation matrix EOFs.

; We have previously (calibrate_mxd.pro) calibrated the high-pass filtered
; MXD over 1911-1990, applied the calibration to unfiltered MXD data (which
; gives a zero mean over 1881-1960) after extending the calibration to boxes
; without temperature data (pl_calibmxd1.pro). We have identified and
; artificially removed (i.e. corrected) the decline in this calibrated
; data set. We now recalibrate this corrected calibrated dataset against
; the unfiltered 1911-1990 temperature data, and apply the same calibration
; to the corrected and uncorrected calibrated MXD data.

And through his policy also he shall cause craft (fraid, deceit, treachery)to prosper in his hand; and he shall magnify himself in his heart, and by peace shall destroy many