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its a PDF, sorry. lets see if the MSM stuffs this scandal too shall we ?
its a PDF, sorry. lets see if the MSM stuffs this scandal too shall we ?
Climategate: Leaked Emails Inspired Data Analyses Show Claimed Warming Greatly Exaggerated and NOAA not CRU is Ground Zero
(This is a preliminary introduction – final much more complete report will be posted here and on SPPI, which has supported the study shortly)
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By Joseph D’Aleo
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The global data bases have serious problems that render them useless for determining accurate long term temperature trends. Especially since most of the issues produce a warm bias in the data.
The Climategate whistleblower proved what those of us dealing with data for decades already knew. The data was degrading and was being manipulated. The IPCC and their supported scientists have worked to remove the pesky Medieval Warm Period, the Little Ice Age, and the period emailer Tom Wigley referred to as the "warm 1940s blip." They have also worked to pump up the recent warm cycle that ended in 2001.
Programmer Ian "Harry" Harris, in the Harry_Read_Me.txt file, commented about:
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"[The] hopeless state of their (CRU) data base. No uniform data integrity, it’s just a catalogue of issues that continues to grow as they’re found...I am very sorry to report that the rest of the databases seem to be in nearly as poor a state as Australia was. There are hundreds if not thousands of pairs of dummy stations, one with no WMO and one with, usually overlapping and with the same station name and very similar coordinates. I know it could be old and new stations, but why such large overlaps if that’s the case? Aarrggghhh! There truly is no end in sight.
This whole project is SUCH A MESS. No wonder I needed therapy!!
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There has clearly been some cyclical warming in recent decades most notably 1979 to 1998. However the global surface station based data is seriously compromised by major station dropout. There has been a clear bias towards removing higher elevation, higher latitude and rural stations. The data suffers contamination by urbanization and other local factors such as land-use/land-cover changes, and improper siting. There is missing data and uncertainties in ocean temperatures. These factors all lead to overestimation of temperatures. Numerous peer-reviewed papers in the last several years have shown this overestimation is the order of 30 to 50% just from the contamination issues alone. The cherry picking of observing sites and the increase of interpolation to vacant data grids makes these estimates very conservative. The data bases on which so many important decisions are to be made are [/FONT][/FONT][FONT=Times New Roman,Times New Roman][FONT=Times New Roman,Times New Roman]"Non Gradus Anus Rodentum!"
"Truth resides in every human heart, and one has to search for it there, and to be guided by truth as one sees it. But no one has a right to coerce others to act according to his own view of the truth." Mahatma Gandhi
NOAA IS GROUND ZERO
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NOAA is seriously complicit in data manipulation and fraud. After the Climategate emails were leaked, the East Anglia Hadley Centre has been the focus for data obstruction, destruction and manipulation issues and Phil Jones has temporarily stepped aside during a three year investigation as director of the Hadley Climatic Research Unit (CRU) until the completion of an independent Review resulting from allegations of inappropriate scientific conduct.
But CRU’s Director at the time Phil Jones acknowledges that CRU mirrors the NOAA data. [/FONT][/FONT][FONT=Times New Roman,Times New Roman][FONT=Times New Roman,Times New Roman]"Almost all the data we have in the CRU archive is exactly the same as in the Global Historical Climatology Network (GHCN) archive used by the NOAA National Climatic Data Center.[/FONT][/FONT][FONT=Times New Roman,Times New Roman][FONT=Times New Roman,Times New Roman]"
NOAA appears to play a key role as a data gatherer/gatekeeper for the global data centers at NASA and CRU. Programmer E.M. Smith’s analysis of NOAA’s GHCN found they systematically eliminated 75% of the world’s stations with a clear bias towards removing higher latitude, high altitude and rural locations, all of which had a tendency to be cooler. The thermometers in a sense marched towards the tropics, the sea and to airport tarmacs.
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