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Global temp manipulation explained.

Global warming or not we have crooks in the data kitchen burning the planet up.

On the Validity of NOAA, NASA and Hadley CRU Global Average Surface Temperature Data


https://thsresearch.files.wordpress.com/2017/05/ef-gast-data-research-report-062717.pdf



The Undersigned Agree with the Conclusions of this Report:

Dr. Alan Carlin
Retired Senior Analyst and manager, US Environmental Protection Agency,
Washington, DC.
Author, Environmentalism Gone Mad, Stairway Press, 2015.
Ph.D., Economics, Massachusetts Institute of Technology, Cambridge, MA.
BS, Physics, California Institute of Technology, Pasadena, CA.
Dr. Harold H. Doiron
Retired VP-Engineering Analysis and Test Division, InDyne, Inc.
Ex-NASA JSC, Aerospace Consultant
B.S. Physics, University of Louisiana - Lafayette
M.S., Ph.D., Mechanical Engineering, University of Houston
Dr. Theodore R. Eck
Ph.D., Economics, Michigan State University
M.A, Economics, University of Michigan
Fulbright Professor of International Economics
Former Chief Economist of Amoco Corp. and Exxon Venezuela
Advisory Board of the Gas Technology Institute and Energy Intelligence Group
Dr. Richard A. Keen
Instructor Emeritus of Atmospheric and Oceanic Sciences, University of Colorado
Ph.D., Geography/Climatology, University of Colorado
M.S., Astro-Geophysics, University of Colorado
B.A., Astronomy, Northwestern University
Dr. Anthony R. Lupo
IPCC Expert Reviewer
Professor, Atmospheric Science, University of Missouri
Ph.D., Atmospheric Science, Purdue University
M.S., Atmospheric Science, Purdue University
Dr. Thomas P. Sheahen
Ph.D., Physics, M.I.T.
B.S., Physics, M.I.T.
Dr. George T. Wolff
Former Chair EPA's Clean Air Scientific Advisory Committee
Ph.D., Environmental Sciences, Rutgers University
M.S., Meteorology, New York University
B.S., Chemical Engineering, New Jersey Institute of Technology
 
Take special note that the data station taking temps dropped in number in non-urban areas in the 1,000's. The rest is just as entertaining of a read. :0)

Global Average Surface Temperature Measurement Uncertainties



By Joseph D’Aleo

The most significant uncertainties that must be dealt with to properly analyze temperature trends were compiled by Joseph D’Aleo, CCM, AMS Fellow

In this era of ever-improving technology and data systems, one would assume that measurements would be constantly improving. This is not the case with the global observing network. The world’s surface observing network had reached its golden era in the 1960s to 1980s, with more than 6,000 stations providing valuable climate information.



DATA DROPOUT

The number of weather stations providing data to GHCN plunged in 1990 and again in 2005 (as stations in the oversampled lower 48 states were thinned out). The sample size has fallen by over 75% from its peak in the early 1970s, and is now smaller than at any time since 1919. The collapse in sample size has increased the relative fraction of data coming from airports to 49 percent (up from about 30 percent in the 1970s). It has also reduced the average latitude of source data and removed relatively more high-altitude monitoring sites (McKitrick 2010).

ghast1.png


We could show many regional or country examples but here is one, Canada. NOAA GHCN used only 35 of the 600 Canadian stations in 2009. Verity Jones plotted the stations from the full network rural, semi-rural and urban for Canada and the northern United States both in 1975 and again in 2009. She also marked with diamonds the stations used in the given year. Notice the good coverage in 1975 and very poor, virtually all in the south in 2009. Notice the lack of station coverage in the higher latitude Canadian region and arctic in 2009.

Read the rest: https://thsresearch.wordpress.com/
 
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And if course it's BECAUSE there are things like changes in which stations are recorded (fewer in the U.S. and Canada, more in other countries, to provide a fuller global picture) that adjustments are made before comparing one set to another. When Agw deniers' own preferred dataset is used, it shows MORE warming than the adjusted surface temperature dataset.
 
And if course it's BECAUSE there are things like changes in which stations are recorded (fewer in the U.S. and Canada, more in other countries, to provide a fuller global picture) that adjustments are made before comparing one set to another. When Agw deniers' own preferred dataset is used, it shows MORE warming than the adjusted surface temperature dataset.
Does it now? Got a link?
 
Wow I just went through the whole report and searched up some of the signatories....

To put it mildly it kicks the living shit out of the temperature charts used to make most of the anthropogenic Warming arguments.

What they have consistently hidden from the public is that much of their
Data is derived by using algorithms.
Algorithms are nothing more than the math slaves if those who write them.


Jo
 
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