
Heh!
Thursday, November 26, 2009
Among the many great amusements of the Climategate scandal are the myriad imaginative excuses being offered by the implicated scientists and their friends in the MSM as to why this isn’t a significant story. Here are some of the best:Just go read it. You know you want to...
The more I discover or read about these “scientists”, the madder I get at them...One can only imagine the angst suffered daily by the co-conspirators, who knew full well that the "Documents" sub-folder of the CRU FOI2009 file contained more than enough probative program source code to unmask CRU's phantom methodology.
In fact, there are hundreds of IDL and FORTRAN source files buried in dozens of subordinate sub-folders. And many do properly analyze and chart maximum latewood density (MXD), the growth parameter commonly utilized by CRU scientists as a temperature proxy, from raw or legitimately normalized data. Ah, but many do so much more.
Skimming through the often spaghetti-like code, the number of programs which subject the data to a mixed-bag of transformative and filtering routines is simply staggering. Granted, many of these "alterations" run from benign smoothing algorithms (e.g., omitting rogue outliers) to moderate infilling mechanisms (e.g., estimating missing station data from that of those closely surrounding). But many others fall into the precarious range between highly questionable (removing MXD data which demonstrate poor correlations with local temperature) to downright fraudulent (replacing MXD data entirely with measured data to reverse a disorderly trend-line).
In fact, workarounds for the post-1960 "divergence problem," as described by both RealClimate and Climate Audit, can be found throughout the source code. So much so that perhaps the most ubiquitous programmer's comment (REM) I ran across warns that the particular module "Uses 'corrected' MXD - but shouldn't usually plot past 1960 because these will be artificially adjusted to look closer to the real temperatures."
What exactly is meant by "corrected” MXD," you ask? Outstanding question -- and the answer appears amorphous from program to program. Indeed, while some employ one or two of the aforementioned "corrections," others throw everything but the kitchen sink at the raw data prior to output.
If you're wondering how the robot-like march of the world's politicians towards Copenhagen can possibly continue in the face of the scientific scandal dubbed "climategate," it's because Big Government, Big Business and Big Green don't give a s*** about "the science."Go read the whole thing.
They never have.
By the President of the United States of America.
A Proclamation.
The year that is drawing towards its close, has been filled with the blessings of fruitful fields and healthful skies. To these bounties, which are so constantly enjoyed that we are prone to forget the source from which they come, others have been added, which are of so extraordinary a nature, that they cannot fail to penetrate and soften even the heart which is habitually insensible to the ever watchful providence of Almighty God. In the midst of a civil war of unequaled magnitude and severity, which has sometimes seemed to foreign States to invite and to provoke their aggression, peace has been preserved with all nations, order has been maintained, the laws have been respected and obeyed, and harmony has prevailed everywhere except in the theatre of military conflict; while that theatre has been greatly contracted by the advancing armies and navies of the Union. Needful diversions of wealth and of strength from the fields of peaceful industry to the national defence, have not arrested the plough, the shuttle or the ship; the axe has enlarged the borders of our settlements, and the mines, as well of iron and coal as of the precious metals, have yielded even more abundantly than heretofore. Population has steadily increased, notwithstanding the waste that has been made in the camp, the siege and the battle-field; and the country, rejoicing in the consiousness of augmented strength and vigor, is permitted to expect continuance of years with large increase of freedom. No human counsel hath devised nor hath any mortal hand worked out these great things. They are the gracious gifts of the Most High God, who, while dealing with us in anger for our sins, hath nevertheless remembered mercy. It has seemed to me fit and proper that they should be solemnly, reverently and gratefully acknowledged as with one heart and one voice by the whole American People. I do therefore invite my fellow citizens in every part of the United States, and also those who are at sea and those who are sojourning in foreign lands, to set apart and observe the last Thursday of November next, as a day of Thanksgiving and Praise to our beneficent Father who dwelleth in the Heavens. And I recommend to them that while offering up the ascriptions justly due to Him for such singular deliverances and blessings, they do also, with humble penitence for our national perverseness and disobedience, commend to His tender care all those who have become widows, orphans, mourners or sufferers in the lamentable civil strife in which we are unavoidably engaged, and fervently implore the interposition of the Almighty Hand to heal the wounds of the nation and to restore it as soon as may be consistent with the Divine purposes to the full enjoyment of peace, harmony, tranquillity and Union.
In testimony whereof, I have hereunto set my hand and caused the Seal of the United States to be affixed.
Done at the City of Washington, this Third day of October, in the year of our Lord one thousand eight hundred and sixty-three, and of the Independence of the Unites States the Eighty-eighth.
By the President: Abraham Lincoln
Wednesday, November 25, 2009
Many of those behaviors are on display in the security film, as we see a sexless group of drone graduate students processing a raw datum with saliva, sawdust and Fortran code. After each iteration the time series is presented to the Alpha Grantwriter to see if fits inside his graph. Several graduate drones die of exhaustion, but the data eventually fit the template.Lordy, that man can throw those words around...
Next the Alpha Grantwriter flies to an international climate research conference with the completed PowerPoint template, where he will share his guano with other Alpha Grantwriters over cocktails in the hotel lounge. This is a process metascientists refer to as "peer review."
Tuesday, November 24, 2009
Monday, November 23, 2009
I have enjoyed reading your posts on climategate, and am quite sympathetic to your position. I am very skeptical about the science underlying the various global warming claims. I am also sympathetic with your claim that publicly funded researchers should release their software codes to the public.Here's my response (slightly edited from the original to remove personal information):
Nonetheless, the counter of these scientists is that other scientists can produce their own code and see what results they obtain. I was wondering whether you knew if such attempts at reproduction have occurred, and if not, why not. Is it that it is very expensive to undertake these studies and the ordinary funding sources do not want to fund such efforts? Or do you think something else is goind on. I would love to know the answer. Thanks.
In any event, keep up the good work.
M.
Hi, M.!
Not only do they claim that other scientists could reproduce their results, they claim that two groups (one in Russia, and one in Australia) have already done so. But I'm very skeptical of these results, as the two groups are hardly independent of the CRU crowd -- they're "insiders" in every sense.
It's an interesting question you raise, though, and one I've pondered a bit as I read through those CRU emails. Reproducing their results has several possible meanings. In the purest scientific sense, "reproduction" would mean that the same results were obtained with independently acquired and analyzed data. In this sense, the CRU's results have NOT been reproduced, and they do not claim that they have been. I believe reproduction in that sense would be quite challenging, as the CRU's claim is that virtually all available proxy temperature data was assessed in their efforts. One step down on the reproduction scale would be for independent groups to take the same data but independently analyze it. I can't be certain, as I don't have access to the actual studies, but from the emails it sounds like this approach is also NOT the kind of reproduction that the two groups did. So one more step down on the reproduction scale would be for independent groups to take the same data and use the same general analytical approach. I believe that this is what Mann et al are referring to when they claim their results have been reproduced, and could be reproduced by any qualified scientist. Essentially that means someone checked their math, not exactly what I would call a validation of the approach.
What Mann et al have consistently refused to provide are detailed descriptions of exactly how (and why) they selected and adjusted their data sets. Other researchers (like Steve McIntyre) with access to the raw data have been unable to reproduce the CRU's results with anything that resembles unbiased data selection or adjustment. In fact, in some cases they come to very different results that would lead one to very different conclusions. Hence the debate on Climate Audit, which has become increasingly informed over the past couple of years as McIntyre and his cohorts get more and more educated.
Speaking as a concerned citizen whose pocketbook is highly at risk here, I believe that what is urgently needed is for a truly independent and skeptical group of scientists to attempt to reproduce the CRU's results in the first, purest sense I described above. We should not be considering sweeping and expensive mitigation efforts until we have done our very best to confirm the accuracy of the underlying science.
Sunday, November 22, 2009
;Where to start? Here, I guess:
; Calibrates, usually via regression, various NH and quasi-NH records
; against NH or quasi-NH seasonal or annual temperatures.
;
; Specify period over which to compute the regressions (stop in 1960 to avoid
; the decline that affects tree-ring density records)
;
perst=1881. ;note 1
peren=1960.
thalf=10. ; filter to use to give extra hi & lo pass info
;
; Select season of the temperature data against which to calibrate
;
if n_elements(doseas) eq 0 then doseas=0 ; 0=annual, 1=Apr-Sep, 2=Oct-Mar
seasname=['annual','aprsep','octmar']
;
; Select record to calibrate
;
if n_elements(dorec) eq 0 then dorec=0
recname=['esper','jones','mann','3tree','briffa','iwarm','mj2000','crowley03','rutherford04']
print,recname[dorec]
doland=0 ; for Mann et al. only, 0=use NH mean, 1=use land>20N mean
;
if recname[dorec] eq 'mann' then begin
if doland eq 0 then openw,1,'recon_mannNH.out'+seasname[doseas] $
else openw,1,'recon_mannLN20.out'+seasname[doseas]
endif else begin
openw,1,'recon_'+recname[dorec]+'.out'+seasname[doseas]
endelse
;
multi_plot,nrow=2
if !d.name eq 'X' then window,ysize=800
;
; Compute the >20N land instrumental temperature timseries and filter
;
datst=1860
daten=1980
print,'Reading temperatures'
ncid=ncdf_open('/cru/u2/f055/data/obs/grid/surface/crutem2_18512001.mon.nc')
tsmon=crunc_rddata(ncid,tst=[datst,0],tend=[daten,11],grid=gtemp)
ncdf_close,ncid
nmon=12
ntemp=gtemp.nt
nyrtemp=ntemp/nmon
yrtemp=reform(gtemp.year,nmon,nyrtemp)
yrtemp=reform(yrtemp(0,*))
;
; Compute the northern hemisphere >20N land series
;
; First extract >20N rows
kl=where(gtemp.y gt 20.)
ylat=gtemp.y(kl)
tsnorth=tsmon(*,kl,*)
; Compute latitude-weighted mean
nhmon=globalmean(tsnorth,ylat)
; Compute seasonal/annual mean
nhmon=reform(nhmon,nmon,nyrtemp)
case doseas of ;note 2
0: lvy=mkseason(nhmon,0,11,datathresh=6) ; could try 9,8 (Oct-Sep annual)!
1: lvy=mkseason(nhmon,3,8,datathresh=3)
2: lvy=mkseason(nhmon,9,2,datathresh=3)
endcase
;
; Filter it
;
filter_cru,thalf,tsin=lvy,tslow=lvylow,tshigh=lvyhi,/nan
;
; Read in record and filter
;
case recname[dorec] of
'esper': begin
openr,2,'/cru/u2/f055/data/paleo/esper2002/esper.txt'
readf,2,nyr
headst=''
readf,2,headst
rawdat=fltarr(7,nyr)
readf,2,rawdat
close,2
x=reform(rawdat(0,*))
densall=reform(rawdat(1,*))
end
'jones': begin
openr,2,'../tree5/phil_nhrecon.dat'
nyr=992
rawdat=fltarr(4,nyr)
readf,2,rawdat,format='(I5,F7.2,I3,F7.2)'
close,2
x=reform(rawdat(0,*))
densall=reform(rawdat(3,*))
end
'mann': begin
if doland eq 0 then begin
openr,2,'../tree5/mann_nhrecon1000.dat'
nyr=981
rawdat=fltarr(2,nyr)
readf,2,rawdat ;,format='(I6,F11.7)'
close,2
x=reform(rawdat(0,*))
densall=reform(rawdat(1,*))
endif else begin
openr,2,'../tree5/mannarea_all.dat'
nyr=981
rawdat=fltarr(11,nyr)
headdat=' '
readf,2,headdat
readf,2,rawdat ;,format='(I6,F11.7)'
close,2
x=reform(rawdat(0,*))
densall=reform(rawdat(10,*))
endelse
end
'3tree': begin
openr,2,'../tree6/tornyamataim.ave'
readf,2,nnn
rawdat=fltarr(2,nnn)
readf,2,rawdat
close,2
x=reform(rawdat(0,*))
densall=reform(rawdat(1,*))
end
'briffa': begin
restore,filename='/cru/u2/f055/tree6/bandtempNH_calmultipcr.idlsave'
x=yrmxd
densall=prednh
end
'iwarm': begin ; use warm-season instrumental series as the predictor!
x=yrtemp
densall=mkseason(nhmon,3,8,datathresh=3)
end
'mj2000': begin
openr,2,'/cru/u2/f055/data/paleo/ipccar4/data/mann03_orig.dat'
readf,2,ncol
readf,2,icol
readf,2,nyr
readf,2,nhead
headst=strarr(nhead)
rawdat=fltarr(ncol,nyr)
readf,2,headst
readf,2,rawdat
close,2
x=reform(rawdat(0,*))
densall=reform(rawdat(icol,*))
end
'crowley03': begin
openr,2,'/cru/u2/f055/data/paleo/ipccar4/data/crowley03_orig.dat'
readf,2,ncol
readf,2,icol
readf,2,nyr
readf,2,nhead
headst=strarr(nhead)
rawdat=fltarr(ncol,nyr)
readf,2,headst
readf,2,rawdat
close,2
x=reform(rawdat(0,*))
densall=reform(rawdat(icol,*))
end
'rutherford04': begin
openr,2,'/cru/u2/f055/data/paleo/ipccar4/data/rutherford04_orig.dat'
readf,2,ncol
readf,2,icol
readf,2,nyr
readf,2,nhead
headst=strarr(nhead)
rawdat=fltarr(ncol,nyr)
readf,2,headst
readf,2,rawdat
close,2
x=reform(rawdat(0,*))
densall=reform(rawdat(icol,*))
end
endcase
;
oopsx=x
oopsy=densall
;
kl=where((x ge datst) and (x le daten))
x=x(kl)
densall=densall(kl)
if total(abs(yrtemp-x)) ne 0 then message,'Incompatible years'
y1=densall
filter_cru,thalf,tsin=y1,tslow=ylow1,tshigh=yhi1,/nan
;
; Now correlate and regress them
;
printf,1,'Correlations and regression coefficients for '+seasname[doseas]
keeplist=where(finite(y1+lvy) and (x ge perst) and (x le peren),nkeep)
x=x(keeplist)
ts1=y1(keeplist)
ts2=lvy(keeplist)
r1=correlate(ts1,ts2)
dum=linfit(ts1,ts2,sigma=err_sigma)
c1=dum
printf,1,'Full timeseries:',r1,c1
plot,x,ts2
oplot,x,ts1*c1[1]+c1[0],thick=2
;
tsa=ts1(0:nkeep-2)
tsb=ts1(1:nkeep-1)
;mxd_ar1=correlate(tsa,tsb)
mxd_ar1=a_correlate(ts1,[-1])
tsa=ts2(0:nkeep-2)
tsb=ts2(1:nkeep-1)
;nht_ar1=correlate(tsa,tsb)
nht_ar1=a_correlate(ts2,[-1])
printf,1,'AR1 for MXD and NHEMI:',mxd_ar1,nht_ar1
;
tspred=c1(0)+c1(1)*ts1
tswant=ts2
plot,tspred,ts2,psym=1,$
xtitle='Scaled Esper et al. anomaly (!Uo!NC)',$
ytitle='Northern Hemisphere temperature anomaly (!Uo!NC)',$
/xstyle,xrange=[-0.6,0.3],$
/ystyle,yrange=[-0.6,0.3]
oplot,!x.crange,[0.,0.],linestyle=1
oplot,[0.,0.],!y.crange,linestyle=1
dum=linfit(tspred,ts2,sigma=se)
oplot,!x.crange,!x.crange*dum(1)+dum(0)
oplot,!x.crange,!x.crange*dum(1)+dum(0)+se(0)
oplot,!x.crange,!x.crange*dum(1)+dum(0)-se(0)
oplot,!x.crange,!x.crange*(dum(1)+se(1))+dum(0)
oplot,!x.crange,!x.crange*(dum(1)-se(1))+dum(0)
oplot,!x.crange,!x.crange*(dum(1)+se(1))+dum(0)+se(0)
oplot,!x.crange,!x.crange*(dum(1)-se(1))+dum(0)-se(0)
oplot,!x.crange,!x.crange*(dum(1)+se(1))+dum(0)-se(0)
oplot,!x.crange,!x.crange*(dum(1)-se(1))+dum(0)+se(0)
;
ts1=yhi1(keeplist)
ts2=lvyhi(keeplist)
r2=correlate(ts1,ts2)
dum=linfit(ts1,ts2)
c2=dum
printf,1,'High-pass :',r2,c2
;
ts1=ylow1(keeplist)
ts2=lvylow(keeplist)
r3=correlate(ts1,ts2)
dum=linfit(ts1,ts2)
c3=dum
printf,1,'Low-pass :',r3,c3
;
; Now compute the rms error between the reconstruction and the original
; timeseries
;
tserr=tswant-tspred
rmserr=sqrt( total( tserr^2 ) / float(n_elements(tserr)) )
printf,1,'RMS error between land>20Napr-sep temperature and Esper et al. reconstruction'
printf,1,rmserr
printf,1,'Uncertainties surrounding regression coefficients'
printf,1,err_sigma
;
printf,1,' '
printf,1,'Computations carried out over the period ',perst,peren
printf,1,' '
printf,1,'To separate low and high frequency components, a gaussian weighted'
printf,1,'filter was used with a half-width (years) of ',thalf
;
close,1
;
end
;Well. Where to start? I guess I'll just dive right in...
; 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*********
;
yrloc=[1400,findgen(19)*5.+1904] ;note 1
valadj=[0.,0.,0.,0.,0.,-0.1,-0.25,-0.3,0.,-0.1,0.3,0.8,1.2,1.7,2.5,2.6,2.6,$
2.6,2.6,2.6]*0.75 ; fudge factor
if n_elements(yrloc) ne n_elements(valadj) then message,'Oooops!'
;
loadct,39
def_1color,20,color='red'
plot,[0,1]
multi_plot,nrow=4,layout='large'
if !d.name eq 'X' then begin
window, ysize=800
!p.font=-1
endif else begin
!p.font=0
device,/helvetica,/bold,font_size=18
endelse
;
; Get regional tree lists and rbar
;
restore,filename='reglists.idlsave'
harryfn=['nwcan','wnam','cecan','nweur','sweur','nsib','csib','tib',$
'esib','allsites']
;
rawdat=fltarr(4,2000)
for i = nreg-1 , nreg-1 do begin
fn='mxd.'+harryfn(i)+'.pa.mean.dat'
print,fn
openr,1,fn
readf,1,rawdat
close,1
;
densadj=reform(rawdat(2:3,*))
ml=where(densadj eq -99.999,nmiss)
densadj(ml)=!values.f_nan
;
x=reform(rawdat(0,*))
kl=where((x ge 1400) and (x le 1992)) ;note 3
x=x(kl)
densall=densadj(1,kl) ; all bands
densadj=densadj(0,kl) ; 2-6 bands
;
; Now normalise w.r.t. 1881-1960
;
mknormal,densadj,x,refperiod=[1881,1960],refmean=refmean,refsd=refsd
mknormal,densall,x,refperiod=[1881,1960],refmean=refmean,refsd=refsd
;
; APPLY ARTIFICIAL CORRECTION
;
yearlyadj=interpol(valadj,yrloc,x) ;note 2
densall=densall+yearlyadj
;
; Now plot them
;
filter_cru,20,tsin=densall,tslow=tslow,/nan
cpl_barts,x,densall,title='Age-banded MXD from all sites',$
xrange=[1399.5,1994.5],xtitle='Year',/xstyle,$
zeroline=tslow,yrange=[-7,3]
oplot,x,tslow,thick=3
oplot,!x.crange,[0.,0.],linestyle=1
;
endfor
;
; Restore the Hugershoff NHD1 (see Nature paper 2)
;
xband=x
restore,filename='../tree5/densadj_MEAN.idlsave'
; gets: x,densadj,n,neff
;
; Extract the post 1600 part
;
kl=where(x ge 1400)
x=x(kl)
densadj=densadj(kl)
;
; APPLY ARTIFICIAL CORRECTION
;
yearlyadj=interpol(valadj,yrloc,x) ;note 2
densadj=densadj+yearlyadj
;
; Now plot it too
;
filter_cru,20,tsin=densadj,tslow=tshug,/nan
cpl_barts,x,densadj,title='Hugershoff-standardised MXD from all sites',$
xrange=[1399.5,1994.5],xtitle='Year',/xstyle,$
zeroline=tshug,yrange=[-7,3],bar_color=20
oplot,x,tshug,thick=3,color=20
oplot,!x.crange,[0.,0.],linestyle=1
;
; Now overplot their bidecadal components
;
plot,xband,tslow,$
xrange=[1399.5,1994.5],xtitle='Year',/xstyle,$
yrange=[-6,2],thick=3,title='Low-pass (20-yr) filtered comparison'
oplot,x,tshug,thick=3,color=20
oplot,!x.crange,[0.,0.],linestyle=1
;
; Now overplot their 50-yr components
;
filter_cru,50,tsin=densadj,tslow=tshug,/nan
filter_cru,50,tsin=densall,tslow=tslow,/nan
plot,xband,tslow,$
xrange=[1399.5,1994.5],xtitle='Year',/xstyle,$
yrange=[-6,2],thick=3,title='Low-pass (50-yr) filtered comparison'
oplot,x,tshug,thick=3,color=20
oplot,!x.crange,[0.,0.],linestyle=1
;
; Now compute the full, high and low pass correlations between the two
; series
;
perst=1400.
peren=1992.
;
openw,1,'corr_age2hug.out'
thalf=[10.,30.,50.,100.]
ntry=n_elements(thalf)
printf,1,'Correlations between timeseries'
printf,1,'Age-banded vs. Hugershoff-standardised'
printf,1,' Region Full <10 >10 >30 >50 >100'
;
kla=where((xband ge perst) and (xband le peren))
klh=where((x ge perst) and (x le peren))
ts1=densadj(klh)
ts2=densall(kla)
;
r1=correlate(ts1,ts2)
rall=fltarr(ntry)
for i = 0 , ntry-1 do begin
filter_cru,thalf(i),tsin=ts1,tslow=tslow1,tshigh=tshi1,/nan
filter_cru,thalf(i),tsin=ts2,tslow=tslow2,tshigh=tshi2,/nan
if i eq 0 then r2=correlate(tshi1,tshi2)
rall(i)=correlate(tslow1,tslow2)
endfor
;
printf,1,'ALL SITES',r1,r2,rall,$
format='(A11,2X,6F6.2)'
;
printf,1,' '
printf,1,'Correlations carried out over the period ',perst,peren
;
close,1
;
end
Saturday, November 21, 2009
From: Phil JonesOne thing that's clear from reading a hundred or so of these emails: the warmenist scientists are quite obsessed with, and defensive about, the Climate Audit web site by Steve McIntyre. I've long linked to McIntyre's site as one of the best global warming skeptical sites I'd found. I consider now that my choice has been completely validated!To: k.briffa@uea.ac.uk
Subject: FW: Yamal and paleoclimatology
Date: Wed Oct 28 16:04:00 2009
Keith,
There is a lot more there on CA now. I would be very wary about responding to this person now having seen what McIntyre has put up. You and Tim talked about Yamal. Why have the bristlecones come in now.
[1]http://www.climateaudit.org/?p=7588#comments
This is what happens - they just keep moving the goalposts.
Maybe get Tim to redo OB2006 without a few more series.
Cheers
Phil
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Dear Professor Briffa, I am pleased to hear that you appear to have recovered from your recent illness sufficiently to post a response to the controversy surrounding the use of the Yamal chronology;
([5]http://www.cru.uea.ac.uk/cru/people/briffa/yamal2009/cautious/cautious.htm)
and the chronology itself;
([6]http://www.cru.uea.ac.uk/cru/people/briffa/yamal2009/)
Unfortunately I find your explanations lacking in scientific rigour and I am more inclined to believe the analysis of McIntyre1
([7]http://www.climateaudit.org/?p=7588)
Can I have a straightforward answer to the following questions
1) Are the reconstructions sensitive to the removal of either the Yamal data and Strip pine bristlecones, either when present singly or in combination?
2) Why these series, when incorporated with white noise as a background, can still produce a Hockey-Stick shaped graph if they have, as you suggest, a low individual weighting?
And once you have done this, please do me the courtesy of answering my initial email.
Dr. D.R. Keiller
-----Original Message-----
From: Keiller, Donald
Sent: 02 October 2009 10:34
To: 'k.briffa@uea.ac.uk'
Cc: 'p.jones@uea.ac.uk'
Subject: Yamal and paleoclimatology
Dear Professor Briffa, my apologies for contacting you directly, particularly since I hear that you are unwell.
However the recent release of tree ring data by CRU has prompted much discussion and indeed disquiet about the methodology and conclusions of a number of key papers by you and co-workers.
As an environmental plant physiologist, I have followed the long debate starting with Mann et al (1998) and through to Kaufman et al (2009).
As time has progressed I have found myself more concerned with the whole scientific basis of dendroclimatology2. In particular;
1) The appropriateness of the statistical analyses employed
2) The reliance on the same small datasets in these multiple studies
3) The concept of "teleconnection" by which certain trees respond to the
"Global Temperature Field", rather than local climate
4) The assumption that tree ring width and density are related to temperature in a linear manner.
Whilst I would not describe myself as an expert statistician, I do use inferential statistics routinely for both research and teaching and find difficulty in understanding the statistical rationale in these papers3.
As a plant physiologist I can say without hesitation that points 3 and 4 do not agree with the accepted science.
There is a saying that "extraordinary claims require extraordinary proof".
Given the scientific, political and economic importance of these papers, further detailed explanation is urgently required.
Yours sincerely,
Dr. Don Keiller.
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References
1. http://www.climateaudit.org/?p=7588#comments
2. https://canit.uea.ac.uk/b.php?i=34330416&m=89bde843c4e5&c=f
3. https://canit.uea.ac.uk/b.php?i=34330416&m=89bde843c4e5&c=n
4. https://canit.uea.ac.uk/b.php?i=34330416&m=89bde843c4e5&c=s
5. http://www.cru.uea.ac.uk/cru/people/briffa/yamal2009/cautious/cautious.htm
6. http://www.cru.uea.ac.uk/cru/people/briffa/yamal2009/
7. http://www.climateaudit.org/?p=7588
8. http://www.anglia.ac.uk/rae
9. http://www.altman.co.uk/emailsystems